CODEBOOK VARIABLE DOCUMENTATION 1992-1997 MERGED FILE (1992.M97) ANES 1992-1997 MERGED FILE VARIABLE ENTRIES This file should be opened in fixed font, 10 pitch or smaller. Codebook introductory material and appendix material are in separate files. ============================== VAR MCASEID CASE ID FOR COMBINED FILE COLUMNS 14 - 19 NUMERIC This 6-digit number is unique for all cases. The first 2 digits are the 2-digit year of R's original selection/participation; the last 4 digits are the same as R's case ID for the year of R's initial selection. There may be gaps in the numbering. Note that for Rs first participating in 1992 the absence of Pre-only cases produces numerous gaps. RANGE YR OF INITIAL PARTICIPATION 920001-921125. Rs first selected in 1992 942001-943036. Rs first selected in 1994 963001-963404. Rs first selected in 1996 ============================== VAR MPARTIC PARTICIPATION 1992-1993-1994-1995-1996-1997 COLUMNS 20 - 21 NUMERIC This file follows respondent participation over the following studies: 1992 Election Study (Pre and Post) 1993 Pilot Study 1994 Election Study (Post) 1995 Pilot Study 1996 Election Study (Pre and Post) 1997 Pilot Study 1992 Pre-only cases and 1992 respondents who had previously been interviewed in 1990 (1990-1992 'Panel' cases) are excluded from this file. 'Fresh' cross-section cases in 1992 for which both Pre and Post interviews were obtained in 1992 were eligible for reinterview in 1994; all 1994 cases were eligible for reinterview in 1996. All 1992 Pre-and-Post cases ('fresh' Cross) were eligible for the 1993 Pilot. In 1994, only a subset of 'new' Cross cases were eligible for inclusion in the 1995 Pilot. 1996 Pre-and-Post 'fresh' Cross-section cases were eligible for the 1997 Pilot sample; the remainder of the 1997 sample consisted of a selection of 1996 respondents who had also been previously interviewed in 1994 and who had given both Pre and Post interviews in 1996. See Study Design notes in the Appendices for further information. INITIAL YEAR 1992: 21. 1992 PRE AND POST 22. 1992 PRE AND POST; 1993 PILOT 23. 1992 PRE AND POST; 1993 PILOT; 1994 POST 24. 1992 PRE AND POST; 1993 PILOT; 1994 POST; 1996 PRE 25. 1992 PRE AND POST; 1993 PILOT; 1994 POST, 1996 PRE AND POST 26. 1992 PRE AND POST; 1993 PILOT; 1994 POST; 1996 PRE AND POST; 1997 PILOT 27. 1992 PRE AND POST; 1994 POST 28. 1992 PRE AND POST; 1994 POST; 1996 PRE 29. 1992 PRE AND POST; 1994 POST; 1996 PRE AND POST 30. 1992 PRE AND POST; 1994 POST; 1996 PRE AND POST; 1997 PILOT INITIAL YEAR 1994: 41. 1994 POST 42. 1994 POST; 1995 PILOT 43. 1994 POST; 1995 PILOT; 1996 PRE 44. 1994 POST; 1995 PILOT; 1996 PRE AND POST 45. 1994 POST; 1995 PILOT; 1996 PRE AND POST; 1997 PILOT 46. 1994 POST; 1996 PRE 47. 1994 POST; 1996 PRE AND POST 48. 1994 POST; 1996 PRE AND POST; 1997 PILOT INITIAL YEAR 1996: 61. 1996 PRE 62. 1996 PRE AND POST 63. 1996 PRE AND POST; 1997 PILOT ============================== VAR MID92 1992 CASE ID COLUMNS 22 - 27 NUMERIC There may be gaps in the numbering. 920001-921125. ============================== VAR MID93 1993 CASE ID COLUMNS 28 - 34 NUMERIC There may be gaps in the numbering. NOTE: 1993 noninterviews are missing data in this variable. In 1993 variable V937001 (case ID) nonIWs have case IDs. (See 1993 result variable V937018.) 9300101 - 9395301. ============================== VAR MID94 1994 CASE ID COLUMNS 35 - 40 NUMERIC There may be gaps in the numbering. 941001 - 943036. ============================== VAR MID95 1995 CASE ID COLUMNS 41 - 47 NUMERIC There may be gaps in the numbering. 9500101 - 9570401. ============================== VAR MID96 1996 CASE ID COLUMNS 48 - 53 NUMERIC There may be gaps in the numbering. 961001 - 963404. ============================== VAR MID97 1997 CASE ID COLUMNS 54 - 59 NUMERIC There may be gaps in the numbering. 970001 - 970724. ============================== VAR M923001 92PRE/PO: 1992 ICPSR ARCHIVE NUMBER COLUMNS 60 - 63 NUMERIC 6067. ICPSR ARCHIVE NUMBER FOR 1992 PRE-POST STUDY ============================== VAR M923004 92PRE: CASE ID COLUMNS 64 - 67 NUMERIC 1992 PRE-ELECTION STUDY CASE ID OF RESPONDENT --------------------------------------------- NOTE: There are three gaps in the sequence of pre-election case IDs: there are no cases numbered 3333, 3359 or 3362. Cases 2149, 2364 were included in the first release of this collection but will not appear in future releases. About 55% of the 1992 Election Study respondents were initially interviewed in the 1990 Election Study and therefore are panel respondents. Please see introduction for further details of the 1992 Study Design. 0001-1126. Cross-section respondent 2001-3364. Panel respondent ============================== VAR M923005 92PREPO: PANEL/CROSS INDICATOR COLUMNS 68 - 68 NUMERIC 1992 PANEL OR CROSS-SECTION INDICATOR ------------------------------------- 1. Panel respondent (Interviewed initially in the 1990 National Election Study). 2. Cross-section respondent ============================== VAR M923006 92PRE/PO: 90POST CASE ID COLUMNS 69 - 69 NUMERIC 1990 POST ELECTION STUDY CASE ID -------------------------------- NOTE: About 55% of the 1992 Election Study respondents were initially interviewed in the 1990 Election Study. This is the case ID for those respondents in that study. See the introduction for a description of the 1992 study design. This variable may be used to merge this data file with the 1990 election study (ICPSR 9548) or the 1990- 1991 [Panel/Pilot Study] Consequences of War Study (ICPSR 9673). 4-digit 1990 Post case number is entered, except: 0000. INAP, 1992 Cross-section respondent ============================== VAR M923007 92PRE/PO: 1991 PANEL STATUS COLUMNS 70 - 70 NUMERIC PANEL RESPONDENT'S STATUS FOR THE 1991 PANEL/PILOT STUDY -------------------------------------------------------- All 1992 Election Study Panel respondents were interviewed in the 1990 Election Study. Some were also interviewed in the 1991 Consequences of War Study (ICPSR 9673). This variable denotes the respondent's status vis-a-vis the 1991 Study. See the introduction for a description of the 1992 Study design. 1. Interviewed in 1991 4. Defined as Non Sample for the 1991 Study 5. Did not give an interview in 1991 0. INAP, 1992 Cross-section ============================== VAR M923008 92PRE/PO: WEIGHT=PANEL/CROSS COLUMNS 71 - 76 NUMERIC DEC 4 FULL SAMPLE WEIGHT ------------------ This weight compensates for the unequal probabilities of selection for respondents in different size households and for differential nonresponse across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to 1990 Census proportions for 24 age by sex by Census region categories. This is a 6 digit variable with 4 decimal places. The weight is centered with a mean of 1.0. This is the first time that NES has put out a weight which compensates for nonresponse, although it has now become a fairly standard part of survey data collections. Such a weight is particularly appropriate for descriptive statistics. See also V7000 and the Sample Design section of the introductory materials for the 1992 Pre- and Post-Election Survey. ============================== VAR M923008A 92PRE: NEW COMBINED WEIGHT - PRE COLUMNS 77 - 82 NUMERIC DEC 4 COMBINED FILE WEIGHT - 1992 Pre variables ------------------ This weight should be used with Combined File 1992 Pre variables. See Appendix report on creation of new weight variables. ============================== VAR M923008B 92PRE: NEW COMBINED WEIGHT - POST COLUMNS 83 - 88 NUMERIC DEC 4 COMBINED FILE WEIGHT - 1992 Post variables ------------------ This weight should be used with Combined File 1992 Pre variables. See Appendix report on creation of new weight variables. ============================== VAR M923009 92PRE/PO: WEIGHT-PANEL ONLY COLUMNS 89 - 89 NUMERIC PANEL ONLY WEIGHT ----------------- This variable should not be used with the Combined File (all cases set to 0). This weight is to be used for analyses which use only the 1,361 panel cases; the supplemental cross-section cases (n=1,126) have a value of "0" in this field. The weight compensates for the unequal probabilities of selection for respondents in different size households, and for differential nonresponse across geographic sample design categories. It is post-stratified to 1990 Census proportions for 24 age by sex by Census region categories. This is a 6 digit variable with 4 decimal places. The weight is centered with a mean of 1.0. V7000: TIME SERIES WEIGHT (Textual Description Only-- Actual variable location is as the next-to-last variable in the data file) This weight should be used in analyses in which the 1992 NES is being compared to earlier unwighted National Election Studies data collections. Variable 7000 corrects for panel attrition and for the aging of the panel respondents. Details on the construction of this variable are provided in the Sample Design section of the introductory materials for the 1992 Pre- and Post-Election Survey. The weight is centered with a mean of 1.0. Cases that are part of the new cross-section have a value of 1.0000 on variable 7000. This is a five-digit variable with four implicit decimal places. ============================== VAR M923010 92PRE/PO: PRE ONLY OR PRE AND POST COLUMNS 90 - 90 NUMERIC PRE-POST INDICATOR: 1992 ELECTION STUDY --------------------------------------- 0. R gave only a Pre-election interview 1. R gave both a Pre and Post-election interview ============================== VAR M923011 92PRE: FORM TYPE COLUMNS 91 - 91 NUMERIC PRE-ELECTION FORM-SAMPLE INDICATOR ---------------------------------- There were two forms for both the pre-election and post- election questionnaires. One, the "long questionnaire" was the standard form designed to be used for all face-to-face interviews. The other, the "short questionnaire" was a truncated version of the questionnaire which was designed solely to interview over the phone panel respondents who since 1990 had moved to areas where SRC no longer had interviewers. The short version of the instrument should not have been used with cross-section cases; however, 4 cases were administered using these short questionnaires in error (code 4). Regrettably, some panel respondents who had not moved out of range were administered the short form of the questionnaire. This variable in conjunction with v3071 will identify these cases. These problems of administration are described in the introduction and in Technical Report #43, available from NES Project Staff. The Spanish Language short questionnaire was administered both to cross-section respondents and to panel respondents who were unable to be interviewed in English. 1. Long questionnaire: PANEL 2. Long questionnaire: CROSS-SECTION 3. Short questionnaire: PANEL 4. Short questionnaire: CROSS-SECTION (used in error) 6. PANEL Spanish Language short questionnaire 7. CROSS-SECTION Spanish Language short questionnaire ============================== VAR M923012 92PRE/PO: 3-DIGIT PRIMARY AREA COLUMNS 92 - 94 NUMERIC PRIMARY AREA CODE (3 digits) ---------------------------- This is a 3-digit variable. The first digit indicates whether a sample point comes from the 1990 sample (1=panel), or from the 1992 (2=fresh cross-section). The last 2 digits denote the primary area. Please note that: Monroe and Ashley County AR both share PA# 77, and Phillips County, KS and Saline, NE share PA #68. The original 1990 Primary areas Monroe (68) and Saline (70) were depleted, so new Primary areas had to be selected from the same sample strata. For information on sample design please see: "Sample Design of the 1992 Pre- and Post-Election Study" in the introduction of this documentation. PRIMARY AREAS in alphabetic order: SEE NOTE(S) 1,2 1990 1992 156 256 ANAHEIM, CA --- 277 ASHLEY, AR --- 216 ATLANTA, GA 123 223 ATLANTIC CITY, NJ 114 --- BALTIMORE, MD 178 278 BEDFORD, TN 136 236 BIRMINGHAM, AL 110 --- BOSTON, MA 117 217 BUFFALO, NY 173 273 BULLOCH, GA 184 284 CARBON, WY 103 203 CHICAGO, IL 139 239 COLUMBUS, GA --- 208 DALLAS/FT WORTH, TX 127 227 DAYTON, OH --- 266 DECATUR, IN 155 255 DENVER, CO 129 229 DES MOINES, IA 105 205 DETROIT, MI 182 282 ELDORADO, CA 159 259 EUGENE, OR 132 232 FORT WAYNE, IN 158 258 FRESNO, CA --- 264 GARDNER, MA 131 231 GRAND RAPIDS, MI 176 276 HALE, TX 109 --- HOUSTON, TX --- 242 JACKSONVILLE, FL --- 228 KANSAS CITY, MO 149 249 KNOXVILLE, TN 143 243 LAKELAND, FL --- 211 LONG ISLAND, NY 102 202 LOS ANGELES, CA 124 224 MANCHESTER, NH 144 244 McALLEN, TX 140 240 MIAMI, FL 126 226 MILWAUKEE, WI --- 215 MINNEAPOLIS, MN 177 --- MONROE, AR --- 280 MONTGOMERY, VA 170 270 MOWER, MN 121 221 NEW HAVEN, CT 101 201 NEW YORK, NY --- 218 NEWARK, NJ 104 204 PHILADELPHIA, PA 168 --- PHILLIPS, KS --- 260 PHOENIX, AZ 113 --- PITTSBURGH, PA 150 250 RICHMOND, VA --- 257 RIVERSIDE, CA 181 281 ROBESON, NC --- 274 SABINE, LA --- 234 SAGINAW, MI --- 268 SALINE, NE 106 206 SAN FRANCISCO, CA 165 265 SANILAC, MI 163 263 SCHUYLER, NY 153 253 SEATTLE, WA 112 --- ST LOUIS, MO 133 233 STEUBENVILLE, OH --- 245 WACO, TX --- 207 WASHINGTON, DC 147 247 WHEELING, WV The PRIMARY AREA CODE sorted by code number: 101. NEW YORK, NY 102. LOS ANGELES,CA 103. CHICAGO, IL 104. PHILADELPHIA, PA 105. DETROIT, MI 106. SAN FRANCISCO, CA 109. HOUSTON, TX 110. BOSTON, MA 112. ST LOUIS, MO 113. PITTSBURGH, PA 114. BALTIMORE, MD 117. BUFFALO, NY 121. NEW HAVEN, CT 123. ATLANTIC CITY, NJ 124. MANCHESTER, NH 126. MILWAUKEE, WI 127. DAYTON, OH 129. DES MOINES, IA 131. GRAND RAPIDS, MI 132. FORT WAYNE, IN 133. STEUBENVILLE, OH 136. BIRMINGHAM, AL 139. COLUMBUS, GA 140. MIAMI, FL 143. LAKELAND, FL 144. McALLEN, TX 147. WHEELING, WV 149. KNOXVILLE, TN 150. RICHMOND, VA 153. SEATTLE, WA 155. DENVER, CO 156. ANAHEIM, CA 158. FRESNO, CA 159. EUGENE, OR 163. SCHUYLER, NY 165. SANILAC, MI 168. PHILLIPS, KS 170. MOWER, MN 173. BULLOCH, GA 176. HALE, TX 177. MONROE, AR 178. BEDFORD, TN 181. ROBESON, NC 182. ELDORADO, CA 184. CARBON, WY 201. NEW YORK, NY 202. LOS ANGELES, CA 203. CHICAGO, IL 204. PHILADELPHIA, PA 205. DETROIT, MI 206. SAN FRANCISCO,CA 207. WASHINGTON, DC 208. DALLAS/FTWRTH, TX 211. LONG ISLAND, NY 215. MINNEAPOLIS, MN 216. ATLANTA, GA 217. BUFFALO, NY 218. NEWARK, NJ 221. NEW HAVEN, CT 223. ATLANTIC CITY, NJ 224. MANCHESTER, NH 226. MILWAUKEE, WI 227. DAYTON, OH 228. KANSAS CITY, MO 229. DES MOINES, IA 231. GRAND RAPIDS, MI 232. FORT WAYNE, IN 233. STEUBENVILLE, OH 234. SAGINAW, MI 236. BIRMINGHAM, AL 239. COLUMBUS, GA 240. MIAMI, FL 242. JACKSONVILLE, FL 243. LAKELAND, FL 244. McALLEN, TX 245. WACO, TX 247. WHEELING, WV 249. KNOXVILLE, TN 250. RICHMOND, VA 253. SEATTLE, WA 255. DENVER, CO 256. ANAHEIM, CA 257. RIVERSIDE, CA 258. FRESNO, CA 259. EUGENE, OR 260. PHOENIX, AZ 263. SCHUYLER, NY 264. GARDNER, MA 265. SANILAC, MI 266. DECATUR, IN 268. SALINE, NE 270. MOWER, MN 273. BULLOCH, GA 274. SABINE, LA 276. HALE, TX 277. ASHLEY, AR 278. BEDFORD, TN 280. MONTGOMERY, VA 281. ROBESON, NC 282. ELDORADO, CA 284. CARBON, WY ============================== VAR M923013 92PRE/PO: PRIMARY AREA NAME COLUMNS 95 - 115 CHARACTER PRIMARY AREA NAME ----------------- This is an alphabetical variable. ============================== VAR M923014 92PRE/PO: CENSUS REGION COLUMNS 116 - 116 NUMERIC CENSUS REGION ------------- This variable identifies the four major geographic regions on which the sample was stratified for the purpose of sample selection. (See Sampling Information in the Introduction.) SEE NOTE(S) 2 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin) 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisianna, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 4. West (Arizona, California, Colorado, Oregon, Washington, Wyoming) ============================== VAR M923015 92PRE/PO: STATE ABBREVIATION COLUMNS 117 - 118 CHARACTER STATE ABBREVIATION ------------------ 2-digit postal abbreviation of state of sample location. ============================== VAR M923016 92PRE/PO: ICPSR STATE/92CD COLUMNS 119 - 122 NUMERIC ICPSR STATE AND 1992 CONGRESSIONAL DISTRICT ------------------------------------------- IN ALPHABETIC ORDER OF STATE ABBREVIATION AND CD. The numeric codes which follow are what appears in the dataset, not the alpha state code. The ICPSR state and congressional district where R voted (if different from the state and CD of sample address) was recorded in V5001. 4103. AL03 4104. AL04 4106. AL06 4107. AL07 4201. AR01 4204. AR04 6101. AZ01 6102. AZ02 6103. AZ03 6104. AZ04 6106. AZ06 7104. CA04 7106. CA06 7107. CA07 7108. CA08 7109. CA09 7110. CA10 7112. CA12 7113. CA13 7119. CA19 7124. CA24 7126. CA26 7127. CA27 7128. CA28 7129. CA29 7131. CA31 7132. CA32 7133. CA33 7134. CA34 7135. CA35 7136. CA36 7138. CA38 7139. CA39 7140. CA40 7141. CA41 7142. CA42 7143. CA43 7144. CA44 7145. CA45 7146. CA46 7147. CA47 7148. CA48 6201. CO01 6202. CO02 6206. CO06 0103. CT03 4303. FL03 4304. FL04 4306. FL06 4312. FL12 4317. FL17 4318. FL18 4320. FL20 4321. FL21 4322. FL22 4401. GA01 4402. GA02 4403. GA03 4404. GA04 4405. GA05 4407. GA07 3103. IA03 3104. IA04 2101. IL01 2102. IL02 2103. IL03 2105. IL05 2106. IL06 2107. IL07 2109. IL09 2110. IL10 2111. IL11 2112. IL12 2113. IL13 2114. IL14 2202. IN02 2204. IN04 3201. KS01 3203. KS03 4506. LA06 0301. MA01 0302. MA02 0306. MA06 0307. MA07 0308. MA08 0309. MA09 5202. MD02 5203. MD03 5204. MD04 5205. MD05 5206. MD06 5207. MD07 5208. MD08 2302. MI02 2303. MI03 2304. MI04 2305. MI05 2309. MI09 2310. MI10 2311. MI11 2315. MI15 2316. MI16 3301. MN01 3302. MN02 3304. MN04 3306. MN06 3401. MO01 3402. MO02 3403. MO03 3405. MO05 3406. MO06 4707. NC07 4708. NC08 3501. NE01 0401. NH01 1201. NJ01 1202. NJ02 1205. NJ05 1207. NJ07 1210. NJ10 1211. NJ11 1302. NY02 1303. NY03 1304. NY04 1305. NY05 1306. NY06 1307. NY07 1308. NY08 1309. NY09 1310. NY10 1311. NY11 1314. NY14 1316. NY16 1317. NY17 1319. NY19 1320. NY20 1327. NY27 1329. NY29 1330. NY30 1331. NY31 2403. OH03 2407. OH07 2408. OH08 2418. OH18 7204. OR04 1401. PA01 1402. PA02 1407. PA07 1408. PA08 1413. PA13 1414. PA14 1418. PA18 1420. PA20 5402. TN02 5403. TN03 5404. TN04 4903. TX03 4906. TX06 4911. TX11 4913. TX13 4915. TX15 4918. TX18 4925. TX25 4926. TX26 4929. TX29 4930. TX30 4003. VA03 4004. VA04 4007. VA07 4008. VA08 4009. VA09 4010. VA10 7301. WA01 7302. WA02 7307. WA07 7308. WA08 2504. WI04 2505. WI05 2509. WI09 5601. WV01 6898. WY98 ============================== VAR M923017 92PRE/PO: ICPSR STATE COLUMNS 123 - 124 NUMERIC ICPSR STATE CODE ---------------- New England 01. Connecticut 02. Maine 03. Massachusetts 04. New Hampshire 05. Rhode Island 06. Vermont Middle Atlantic 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania East North Central 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin West North Central 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota Solid South 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas Border States 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington, D.C. 56. West Virginia Mountain States 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming Pacific States 71. California 72. Oregon 73. Washington External States 81. Alaska 82. Hawaii 99. NA ============================== VAR M923018 92PRE/PO: FIPS STATE COLUMNS 125 - 126 NUMERIC FIPS STATE CODE --------------- States present in the 1992 sample have asterisks (*). 01. Alabama * 02. Alaska 04. Arizona * 05. Arkansas * 06. California * 08. Colorado * 09. Connecticut * 10. Delaware 11. Washington D.C. 12. Florida * 13. Georgia * 15. Delaware 16. Idaho 17. Illinois * 18. Indiana * 19. Iowa * 20. Kansas * 21. Kentucky 22. Louisiana * 23. Maine 24. Maryland* 25. Massachusetts * 26. Michigan * 27. Minesota * 28. Mississippi 29. Missouri * 30. Montana 31. Nebraska * 32. Nevada 33. New Hampshire * 34. New Jersey * 35. New Mexico 36. New York * 37. North Carolina * 38. North Dakota 39. Ohio * 40. Oklahoma 41. Oregon * 42. Pennsylvania * 44. Rhode Island 45. South Carolina 46. South Dakota 47. Tennessee * 48. Texas * 49. Utah 50. Vermont 51. Virginia * 53. Washington * 54. West Virginia * 55. Wisconsin * 56. Wyoming * ============================== VAR M923019 92PRE/PO: 1992 CONG DISTRICT COLUMNS 127 - 128 NUMERIC 1992 CONGRESSIONAL DISTRICT NUMBER (2 digits) --------------------------------------------- This is a two-digit variable which, when combined with either the FIPS State Code (v3018) or the ICPSR State Code (v3017), gives the congressional district for the sample location in which the R resided at the time of our initial interview with him/her in 1990 (panel respondents) or 1992 (cross-section respondents). This variable reflects the redistricting based on the 1990 Census, in effect for the 1992 General Election. Note that this is not necessarily the congressional district in which panel R's lived in 1992, due to mobility, nor is it necessarily the district in which an R, cross-section or panel, voted in 1992, since respondents may have two residences, move bewtween the Pre- and Post-Election studies, be voting from a previous residence, etc. Variable 5001 records the ICPSR state and district where R voted if different from the congressional district of their sample address. Actual values are coded, as documented in v3016, except: 98. At-large ============================== VAR M923020 92PRE/PO: 1990 CONG DISTRICT COLUMNS 129 - 130 NUMERIC 1990 CONGRESSIONAL DISTRICT NUMBER ---------------------------------- For panel respondents, this variable identifies the congressional district for the sample location in which R resided in 1990, as the district was configured before the 1990 Census-based redistricting. It is the same as the congressional district given for this respondent in the 1990 dataset. For cross-section respondents, this variable identifies the congressional district number for the sample location in which R resides, as it was prior to the 1990 Census-based redistricting. Actual values are coded, as documented in v3016, except: 98. At-large ============================== VAR M923021 92PRE/PO: TYPE RACE HOUSE COLUMNS 131 - 132 NUMERIC TYPE OF RACE: HOUSE OF REPRESENTATIVES --------------------------------------- The term incumbent as used in an election held just after redistricting requires some definition. An incumbent, as we use the term here and throughout the study, is a person who was in the 102nd Congress, just preceding this election. The incumbent may or may not have represented the particular piece of geography which is the sample segment in which the R was interviewed. That is, the incumbent may or may not have been R's representative in the preceding Congress. All incumbent related variables in the study should be used with this caution in mind. See also V7001. Listed here are the House races present in the 1992 sample. SEE NOTE(S) 21 INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 14. " " " -- Unopposed 21. Republican incumbent running -- Democratic challenger 24. " " " -- Unopposed 45. Two Republican incumbents running (LA06) The November 3rd election for the House of Representatives in Louisiana is really a primary run-off for the state. Congressional district 06 (LA06), a "new district," fielded candidates Richard H. Baker and Clyde C. Holloway, both of whom are Republicans and incumbents from old districts. In other circumstances, both would have been assigned #34 in the candidate list. In order to avoid restructuring the questionnaire, the House race in LA06 was treated as an open race with Baker #31 and Holloway #32. Code 45 in 3021 should be used to exclude these cases from analysis pertaining to Democratic candidates. 51. Democratic incumb. not running -- Dem. candidate unopposed 52. " " " " -- Rep. candidate unopposed 55. " " " " -- Dem. & Rep. candidates 65. Republican incumb. not running -- Dem. & Rep. candidates 85. No identifiable incumbent, Dem and Rep candidates in open race due to redistricting *Other-Third Party(s) or Independent ============================== VAR M923022 92PRE/PO: TYPE RACE SENATE COLUMNS 133 - 134 NUMERIC TYPE OF RACE: SENATE -------------------- SEE NOTE(S) 21 INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 21. Republican incumbent running -- Democratic challenger 55. Democratic incumb. not running -- Dem. & Rep. candidates 65. Republican incumb. not running -- Dem. & Rep. candidates 81. Democratic incumbents -- no race in state 82. Republican incumbents -- no race in state 85. Democratic and Republican incumbents -- no race in state 95. Two Senate races, including one open race and one race with running Republican incumbent (CA)** ** Republican "incumbent" served partial term upon appointment by departing Senator. V7001: Was incumbent candidate respondent's representative in last Congress? (Textual Description Only--Actual variable location is as the last variable in the data file) Substantial reapportionment following the 1990 Census occurred between the elections to the 102nd Congress (1990) and the 103rd Congress (1992). Variables 3019 and 3020 give the 1992 and the 1990 congressional district numbers for the sample address in which the respondent resided at the time of their Pre-election interview. Redistricting between the 1990 and 1992 elections was quite extensive. As district boundary lines changed, it is possible that the incumbent running for re-election in a respondent's district was not the incumbent who had previously represented the segment in which the respondent lived. For example, for the 102nd Congress, Ann Arbor, Michigan was in Michigan's 2nd District represented by Carl Pursell. After redistricting, Ann Arbor was part of the 13th Congressional District whose incumbent, Representative William Ford, ran for re-election to the 103rd Congress. Ford's constituents now include Ann Arborites who had previously been part of the 2nd District. These constituents would be coded "2" on variable 7001, which basically records whether respondent was represented by the same or different incumbents in the 102nd and 103rd Congresses. 0. Neither of the candidates for the 103rd Congress runing in respondents district was an incumbent in the 102nd Congress. 1. The incumbent who ran for re-election to the 103rd Congress in the congressional district for the sample segment in which respondent resided in 1992, is the same incumbent who represented that segment in the 102nd Congress. 2. The incumbent who ran for re-election in respondent's district in 1992 did not represent the sample segment in which respondent lives in the 102nd Congress. 3. LA06: Two Republican incumbents ran in 1992, neither of whom represented this segment in the 102nd Congress. 9. Indeterminate; NA ============================== VAR M923023 92PRE: RELEASE COLUMNS 135 - 135 NUMERIC PRE-ELECTION SAMPLE RELEASES AND REPLICATES ------------------------------------------- In order that analyses of respondents' reactions to the campaigns not be confounded with ease or difficulty of contacting respondents and persuading them to be interviewed, NES has, since 1984, followed a strategy of releasing Pre-election sample in stages. In 1984 and 1988, there were four two-week target periods. In 1992, because the sample design was unusually complicated, and quartering the sample would have resulted in cost inefficiencies, we released panel and cross-section sample in four week target periods. The assignment of sample lines to target periods was random. The sets of assigned lines are known as "replicates." The first replicate (55% of the sample thought to be necessary if response and eligibility rates were as estimated) was released on September 1st, the second (45%) on October 1st. Three replicates were designated as "reserve" to release as needed, depending on an evaluation of sample performance as of September 30th. At that time, it was decided to release Reserve Replicates 4 and 5 on October 1st along with replicate 2. (Although Reserve Replicate 3 was not released, 12 respondents were interviewed from that replicate, in error.) 1. Replicate 1, Released Sept.1st. 2. Replicate 2, Released Oct.1st. 3. Reserve Replicate 3, Not officially released [IWs conducted in error] 4. Reserve Replicate 4, Released Oct. 1st. 5. Reserve Replicate 5, Released Oct. 1st. ============================== VAR M923024 92PRE: RELEAS SUMMARY COLUMNS 136 - 136 NUMERIC PRE-ELECTION SAMPLE RELEASE -- SUMMARY -------------------------------------- The interviewing time for the Pre-election, Sept. 1 to Nov. 2, was divided into 2 periods: Sept. 1 - Sept. 30, to interview the first replicate; and Oct. 1 - Nov. 2, for subsequent replicates. This variable summarizes information on the time frame for the release of each replicate and the time of actual completion of the interview. 1. Sample released Sept. 1, interview completed before Oct. 1 2. Sample released Sept. 1, interview completed between Oct. 1 - Nov. 2 3. Sample released Oct. 1, interview completed between Oct. 1 - Nov. 2 4. Sample intended to be released Oct. 1, but by error released and interview completed before Oct. 1 9. NA ============================== VAR M923025 92PRE: TIME START COLUMNS 137 - 140 NUMERIC A0. PRE-ELECTION: Beginning Time (local)--EXACT TIME NOW -------------------------------------------------------- 24-hour clock is used (0000-2359). ============================== VAR M923026 92PRE: INTERVIEW MONTH COLUMNS 141 - 142 NUMERIC PRE-ELECTION: Date of Interview: MONTH --------------------------------------- Code MONTH (09-11) 99. NA ============================== VAR M923027 92PRE: INTERVIEW DAY COLUMNS 143 - 144 NUMERIC PRE-ELECTION. Date Interview: DAY ----------------------------------- Code DAY OF MONTH (01-31) 99. NA ============================== VAR M923028 92PRE: INTERVIEW # COLUMNS 145 - 146 NUMERIC PRE-ELECTION: INTERVIEWER'S INTERVIEW NUMBER -------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. "01" is the first interview on the Pre-election study taken by a particular interviewer; "02" the second, and so on. Code actual NUMBER (01-69) ============================== VAR M923029 92PRE: IW LENGTH COLUMNS 147 - 149 NUMERIC PRE-ELECTION: INTERVIEW LENGTH IN MINUTES ----------------------------------------- The actual number of minutes (14-218) is coded, except: 999. NA ============================== VAR M923030 92PRE: EDIT LENGTH COLUMNS 150 - 152 NUMERIC PRE-ELECTION: POST-EDIT LENGTH, IN MINUTES ------------------------------------------ The actual number of minutes( 2-170) is coded, except: 999. NA ============================== VAR M923031 92PRE: IW MODE COLUMNS 153 - 153 NUMERIC PRE-ELECTION: MODE OF INTERVIEW: TELEPHONE OR PERSONAL ------------------------------------------------------ The study design called for face-to-face interviews for all respondents except for a few panel respondents who had moved out of the range of SRC interviewers. See v3071 for coding of whether the respondents were in range or not. A SHORT-FORM or abbreviated questionnaire (both English and Spanish) was prepared to use with these respondents over the phone. See v3011 which records use of short-form versus long-form questionnaires. Telephone interviews were in fact taken with a number of cross- section respondents and a number of panel respondents who had not moved out of range. This situation is fully described in the introduction and in Technical Report #43, avaialble from NES Project Staff. 1. Personal (face-to-face) 2. Telephone ============================== VAR M923032 92PRE: TOT # CALLS COLUMNS 154 - 155 NUMERIC PRE-ELECTION: TOTAL NUMBER OF CALLS TO OBTAIN INTERVIEW ------------------------------------------------------- Number of calls 1-32 is coded, except: 99. NA ============================== VAR M923033 92PRE: RESULT COLUMNS 156 - 156 NUMERIC PRE-ELECTION: RESULT CODE ------------------------- Those interviews coded "partial" in this variable are entirely those taken with the short-form questionnaire, exclusive of the Spanish language questionnaires. See also v3011. 01. INTERVIEW, complete 05. INTERVIEW, partial (short-forms were coded here) ============================== VAR M923034 92PRE: WHY TELEPHONE COLUMNS 157 - 157 NUMERIC PRE-ELECTION: SHORT-FORM-PANEL ONLY. Reasons for using a telephone questionnaire. ---------------------------------------------------------- 1. Assigned to Telephone by office 2. R moved out of sample 3. Other, specify 9. NA 0. Inap, 1-2, 6-7 in v3011 ============================== VAR M923035 92PRE: OBT R NAME COLUMNS 158 - 158 NUMERIC PRE-ELECTION RECONTACT: WAS R's NAME OBTAINED ("What is your full legal name as it appears on official documents such as your voter's registration, Social Security card or driver's license?") ------------------------------------------------------------ 1. Name obtained 5. Name not obtained 9. NA ============================== VAR M923036 92PRE: ADDR SAME COLUMNS 159 - 159 NUMERIC PRE-ELECTION RECONTACT: INTERVIEWER CHECKPOINT: ADDRESS "What is your address?" -------------------------------------------------------- 1. Identical to sample label address 2. Corrected version of sample label address 3. Different from sample label 9. NA ============================== VAR M923037 92PRE: ADDR DIFF COLUMNS 160 - 160 NUMERIC PRE-ELECTION RECONTACT: IF ADDRESS GIVEN AT [v3036] IS DIFFERENT FROM SAMPLE LABEL: "Is this an address you will be moving to, a relative's address, the address of a friend, a business address, or what?" ------------------------------------------------------------ Note: because the codes provided on the coversheet did not include a category for addresses to which R has already moved (panel cases), such cases were generally placed in code 7 by interviewers. 1. Mailing address 2. Address to which R is moving 3. Relative 4. Friend 5. Business 7. Other 9. NA 0. INAP, address not different or NA if different from sample label (1,2,9 in v3036) ============================== VAR M923038 92PRE: OBT TEL # COLUMNS 161 - 161 NUMERIC PRE-ELECTION RECONTACT: WAS R'S PHONE NUMBER OBTAINED? ("And what is your telephone number?)" ------------------------------------------------------- 1. Telephone number obtained 5. R has no phone 7. Phone number refused 9. NA ============================== VAR M923039 92PRE: TEL # IN DIR COLUMNS 162 - 162 NUMERIC PRE-ELECTION RECONTACT: "Is your phone number listed in the current telephone directory?" ------------------------------------------------------------ 1. Yes, listed 5. No, not listed 8. Not sure, don't know 9. NA 0. INAP, R has no phone or phone number refused/NA (5,7,9 in v3038) ============================== VAR M923040 92PRE: TEL IN R NAME COLUMNS 163 - 163 NUMERIC PRE-ELECTION RECONTACT: "Is your phone listed in your name?" ------------------------------------------------------------ 1. Yes (listed in R's name) 5. No (not listed in R's name) 9. Not sure 0. INAP, R has no phone or phone number refused/NA (5,7,9 in v3038); number not listed/DK/NA if listed (5,8,9 in v3039) ============================== VAR M923041 92PRE: OTHER HOME COLUMNS 164 - 164 NUMERIC PRE-ELECTION RECONTACT: "Do you have another place of residence or somewhere else you live during different times of the year?" ----------------------------------------------------------- 1. Yes (R has another residence) 5. No (no other residence) 9. NA ============================== VAR M923042 92PRE: ADDR REC COLUMNS 165 - 165 NUMERIC PRE-ELECTION RECONTACT: "If for any reason we should have difficulty contacting you, could you give me the name, address, and telephone number of two close friends or relatives who do not live with you and will know how to get in touch with you?" ----------------------------------------------------------- 1. R gave contact information 5. R did not give contact information 9. NA ============================== VAR M923043 92PRE: PROBL USE TEL COLUMNS 166 - 166 NUMERIC PRE-ELECTION CROSS-SECTION RECONTACT COMPLETED BY INTERVIEWER DURING POST-EDIT: Assuming we have or could obtain a telephone number for this respondent, is there any reason (e.g. hearing problem, illness) why we should not conduct an interview with this person by phone? ----------------------------------------------------------- 1. Yes (reason exists) 5. No (no reason exists) 9. NA 0. INAP, 1992 Panel ============================== VAR M923044 92PRE: HU TYPE COLUMNS 167 - 168 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: DESCRIBE THE TYPE OF STRUCTURE IN WHICH THE RESPONDENT LIVES (SAMPLE ADDRESS) [completed by IWR] -------------------------------------------------------- 1. Mobile home 2. Detached single family 3. Multi family 4. Apartment house 5. Condo complex 7. Other (specify) 99. NA ============================== VAR M923045 92PRE: GATEKEEPER COLUMNS 169 - 169 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IS THERE A BUILDING MANAGER, SECURITY GUARD, OR OTHER GATEKEEPER WHOSE COOPERATION YOU NEED IN ORDER TO GAIN ACCESS TO THE R'S HOUSING UNIT? [completed by IWR] ------------------------------------------------------- 1. Yes 5. No 9. NA ============================== VAR M923046 92PRE: GK DESCRIPT COLUMNS 170 - 170 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: (IF BUILDING MANAGER/GUARD/GATEKEEPER): CHECK THE BOX WHICH BEST DESCRIBES THE SITUATION. [completed by IWR] ---------------------------------------------------- 1. Building manager or other gatekeeper must let you in the building (on the grounds, into the mobile home park) but then you are free to attempt contact with R's HU 2. Building manager/other gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 7. Other (describe situation) 9. NA 0. INAP, 5,9 in v3045 ============================== VAR M923047 92PRE: REF CONV IND COLUMNS 171 - 171 NUMERIC PRE-ELECTION: REFUSAL CONVERSION -------------------------------- This refers to interviews initially refused by the respondent and is coded by the Field Section Control Office from information on the Coversheet Call Record. It is not assigned by the interviewer. 0. Not a refusal conversion situation 1. Refusal conversion ============================== VAR M923048 92PRE: PERS LETTR COLUMNS 172 - 172 NUMERIC PRE-ELECTION: PERSUASION LETTER REQUESTED ----------------------------------------- 1. Yes 5. No 9. NA ============================== VAR M923049 92PRE: INCENTIVE COLUMNS 173 - 173 NUMERIC PRE-ELECTION: TYPE OF INCENTIVE SENT TO SELECTED HOUSEHOLD ---------------------------------------------------------- An incentive experiment was implemented in the 1991 Panel study to determine whether a modest incentive would improve response rate. Some respondents received a U of M pen along with a letter asking for their participation, others received the letter only. In 1992 all selected households were sent an incentive also with the usual advance letter. Respondents who had been sent a pen in 1991 were sent a book of stamps in 1992. 1. UM pen (panel and cross-section) 2. $2/stamps (panel only) 9. NA ============================== VAR M923050 92PRE: R PMT OFFERED COLUMNS 174 - 176 NUMERIC PRE-ELECTION: RESPONDENT PAYMENT OFFERED--AMOUNT ------------------------------------------------ Interviewers were authorized to offer payment to respondents who were reluctant to participate. 005. $5 offered as respondent payment 010. $10 offered as respondent payment 015. $15 offered as respondent payment 020. $20 offered as respondent payment 998. Respondent payment offered, NA how much 000. INAP, no respondent payment offered ============================== VAR M923051 92PRE: R PMT PAID COLUMNS 177 - 179 NUMERIC PRE-ELECTION: RESPONDENT PAYMENT PAID--AMOUNT --------------------------------------------- See variable 3050. 005. $5 paid as respondent payment 010. $10 paid as respondent payment 015. $15 paid as respondent payment 020. $20 paid as respondent payment 998. Respondent payment paid, NA how much 000. INAP, no respondent payment ============================== VAR M923052 92PRE: INIT REFUS COLUMNS 180 - 180 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: DID R REFUSE INITIALLY? ---------------------------------------------------------- 1. Yes 5. No 9. NA ============================== VAR M923053 92PRE: BREAK APPT COLUMNS 181 - 181 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: DID R BREAK ANY APPOINTMENT? -------------------------------------------------- 0. No appointments broken 1. One 2. Two or more 9. NA ============================== VAR M923054 92PRE: WASTE TIME COLUMNS 182 - 182 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: A. SURVEYS ARE A WASTE OF TIME --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923055 92PRE: VERY ILL COLUMNS 183 - 183 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: B. VERY ILL --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923056 92PRE: TOO BUSY COLUMNS 184 - 184 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: C. 'TOO BUSY' --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923057 92PRE: FAM SITUAT COLUMNS 185 - 185 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: D. STRESSFUL FAMILY SITUATION --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923058 92PRE: CONFIDENTL COLUMNS 186 - 186 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: E. CONFIDENTIALITY --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923059 92PRE: PRIVACY COLUMNS 187 - 187 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: F. INVASION OF PRIVACY --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923060 92PRE: RESIS OTHR COLUMNS 188 - 188 NUMERIC PRE-ELECTION CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: H. OTHER (SPECIFY) --------------------------------------------------- 1. Marked 5. Not marked 9. NA ============================== VAR M923061 FIPS STATE & COUNTY COLUMNS 189 - 193 NUMERIC FIPS STATE AND COUNTY CODES --------------------------- The first two digits of this variable contain the FIPS state code: the last 3 digits contain the county code. This information was obtained from: Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Statistics. 01073. Jefferson, AL 01113. Russell, AL 01117. Shelby, AL 01127. Walker, AL 04013. Maricopa, AZ 05003. Ashley, AR 05095. Monroe, AR 06001. Alameda, CA 06013. Contra Costa, CA 06017. El Dorado, CA 06019. Fresno, CA 06037. Los Angeles, CA 06041. Marin, CA 06059. Orange, CA 06065. Riverside, CA 06071. San Bernardino, CA 06075. San Francisco, CA 06081. San Mateo, CA 08001. Adams, CO 08005. Arapahoe, CO 08013. Boulder, CO 08031. Denver, CO 08059. Jefferson, CO 09009. New Haven, CT 12025. Dade, FL 12031. Duval, FL 12105. Polk, FL 12109. St Johns, FL 13031. Bulloch, GA 13089. De Kalb, GA 13097. Douglas, GA 13121. Fulton, GA 13135. Gwinnett, GA 13215. Muscogee, GA 17031. Cook, IL 17043. Du Page, IL 17089. Kane, IL 17097. Lake, IL 17133. Monroe, IL 18003. Allen, IN 18031. Decatur, IN 18179. Wells, IN 19153. Polk, IA 19181. Warren, IA 20091. Johnson, KS 20147. Phillips, KS 22085. Sabine, LA 24003. Anne Arundel, MD 24510. Baltimore City, MD 24005. Baltimore, MD 24013. Carroll, MD 24025. Harford, MD 24031. Montgomery, MD 24033. Prince Georges, MD 25009. Essex, MA 25015. Hampshire, MA 25017. Middlesex,MA 25021. Norfolk, MA 25025. Suffolk, MA 25027. Worcester, MA 26081. Kent, MI 26087. Lapeer, MI 26099. Macomb, MI 26125. Oakland, MI 26139. Ottawa, MI 26145. Saginaw, MI 26151. Sanilac, MI 26147. St Clair, MI 26163. Wayne, MI 27003. Anoka, MN 27053. Hennepin, MN 27099. Mower, MN 27123. Ramsey, MN 27171. Wright, MN 29047. Clay, MO 29095. Jackson, MO 29183. St Charles, MO 29510. St Louis City, MO 29189. St Louis, MO 31151. Saline, NE 33011. Hillsborough, NH 33015. Rockingham, NH 34001. Atlantic, NJ 34003. Bergen, NJ 34007. Camden, NJ 34013. Essex, NJ 34027. Morris, NJ 34035. Somerset, NJ 34039. Union, NJ 36005. Bronx, NY 36029. Erie, NY 36047. Kings, NY 36059. Nassau, NY 36061. New York, NY 36063. Niagara, NY 36081. Queens, NY 36087. Rockland, NY 36097. Schuyler, NY 36103. Suffolk, NY 36119. Westchester, NY 37155. Robeson, NC 39013. Belmont, OH 39057. Greene, OH 39081. Jefferson, OH 39113. Montgomery, OH 39135. Preble, OH 41039. Lane, OR 42003. Allegheny, PA 42017. Bucks, PA 42045. Delaware, PA 42091. Montgomery, PA 42101. Philadelphia, PA 42125. Washington, PA 42129. Westmoreland, PA 47001. Anderson, TN 47003. Bedford, TN 47009. Blount, TN 47093. Knox, TN 48113. Dallas, TX 48121. Denton, TX 48139. Ellis, TX 48189. Hale, TX 48201. Harris, TX 48215. Hidalgo, TX 48309. McLennan, TX 48439. Tarrant, TX 51013. Arlington, VA 51041. Chesterfield, VA 51059. Fairfax, VA 51087. Henrico, VA 51121. Montgomery, VA 51145. Powhatan, VA 51750. Radford City, VA 51760. Richmond City, VA 53033. King, WA 53061. Snohomish, WA 54009. Brooke, WV 54029. Hancock, WV 54051. Marshall, WV 54069. Ohio, WV 55079. Milwaukee, WI 55089. Ozaukee, WI 55133. Waukesha, WI 56007. Carbon, WY ============================== VAR M923062 TRACT/ED INDICATOR COLUMNS 194 - 194 NUMERIC TRACT/ED INDICATOR ------------------ 1. Sample address is in a tracted and blocked area 2. Sample address is not in a blocked area (it was in a 1980 Enumeration District) ============================== VAR M923063 FIPS SMSA CODE COLUMNS 195 - 198 NUMERIC FIPS 1980 SMSA CODE ------------------- These FIPS SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in characteristics of areas. In the 1992 NES data, the 1980 SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for this sample, was most appropriate for all MSA or PMSA areas. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1992 NES), there are two PSUs (#64, Gardner, MA, and #82, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (Core segment 009 in Gardner, MA, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worchester, MA, MSA, and all of the NES segments in El Dorado/Alpine, CA,-- i.e., core segments 001 and 007 and panel segments 002, 003, 005, 007, 009 and 011-- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) 0360. Anaheim-Santa Ana-Garden Grove, CA 0520. Atlanta, GA 0560. Atlantic City, NJ 0720. Baltimore, MD 1000. Birmingham, AL 1120. Boston, MA 1280. Buffalo, NY 1600. Chicago, IL 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4760. Manchester, NH 4880. McAllen-Pharr-Edinburgh,TX 5000. Miami, FL 5080. Milwaukee, WI 5120. Mpls-St Paul,MN-WI 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5600. New York, NY-NJ 5640. Newark, NJ 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6760. Richmond, VA 6780. Riverside-San Bernardino-Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9240. Worcester, MA (1990 MSA definition) 0000. INAP; location not in SMSA (MSA) ============================== VAR M923064 FIPS SCSA CODE COLUMNS 199 - 200 NUMERIC FIPS (CENSUS) 1990 CONSOLIDATED METROPOLITAN STATISTICAL AREA CODES -------------------------------------------------------- The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis: In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 07. Boston-Lawrence-Salem MA-NH 10. Buffalo-Niagra Falls NY 14. Chicago-Gary-Lake County IL-IN-WI** 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 35. Detroit-Ann Arbor MI** 42. Houston-Galveston-Brazoria TX 49. Los Angeles-Anaheim-Riverside CA** 56. Miami-Fort Lauderdale FL 63. Milawaukee-Racine WI 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 84. San Francisco-Oakland-San Jose CA** 91. Seattle-Tacoma WA 00. INAP; location not in CMSA, this includes old code 32 (Dayton-Springfield, OH) which is nolonger consolidated in 1990 since Dayton and Springfield were combined in a single MSA ============================== VAR M923065 SIZE OF PLACE COLUMNS 201 - 202 NUMERIC SIZE OF PLACE OF INTERVIEW - 1990 --------------------------------- Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large cities. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. For the six largest CMSAs plus twelve of the fifteen next largest CMSA/MSAs (i.e., those coded 1 or 3 (possibly 5, rarely 6) on the Belt Code): 11. Central Cities (these would have been coded 1 on the Belt Code). Suburbs of the six largest CMSAs and twelve of the fifteen next largest CMSA/MSAs (coded 3 (sometimes 5 and rarely 6) on Belt Code): 20. Rural (including rural places with less than 2500 population) 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 22. 10,000-29,999 23. 30,000-49,999 24. 50,000-99,999 25. 100,000-149,999 26. 150,000-349,999 27. 350,000 and over, exclusive of cities coded 11 CMSA/MSAs with less than 2,000,000 population (exclusive of those in the six largest CMSAs and 12 of 15 next largest CMSA/MSAs) Central Cities in CMSA/MSAs with less than 2,000,000 population (coded 2 on Belt Code): 30. Under 50,000 (identified by OMB in 1990 as Central Cities) 31. 50,000-99,999 32. 100,000-149,000 33. 150,000-349,999 34. 350,000 and over Suburbs in CMSA/MSAs with less than 2,000,000 population (coded 4 (or 5 and rarely 6) on Belt Code): 40. Rural (including rural places with less than 2,500 population) 41. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census Places) 42. 10,000-29,999 43. 30,000-49,999 44. 50,000-99,999 45. 100,000-149,999 46. 150,000 and over "NON-CMSA/PMSA/MSAs"* Population of place, within these "non-SMSA" areas, as reported in 1990 Census. 50. Rural (including places with less than 2,500 population) 51. 2,500-9,999 52. 10,000-29,999 53. 30,000-49,999 * In a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown below. This occurred in El Dorado county, CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento, CA, MSA, and also for one SSU (segment) in the Gardner, MA (PSU #64) which is now a part of the Worchester, MA, MSA. ============================== VAR M923066 POPULATION IN 1000 COLUMNS 203 - 206 NUMERIC ACTUAL POPULATION OF INTERVIEW LOCATION - 1990 ---------------------------------------------- The actual 1990 population of the interview place was coded in thousands rounding to the nearest whole thousand. Actual number is coded 9999. 9,998,500 persons and over 0000. Rural place, no defined census place, or census place with fewer than 500 persons ============================== VAR M923067 BELT CODE COLUMNS 207 - 207 NUMERIC BELT CODE - 1990 - NES ---------------------- Coded according to the 1990 Census and 1990 OMB definitions, 1990 census population reports and 1980 (since 1990 not available) maps showing "urban areas". 1. Central Cities* of the six largest** (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus 12*** of the 15 next largest CMSA/MSA (population over 2,000,000) This would include all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as SRP Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus three other non-selfrepresenting primary areas included within the "population over 2,000,000" definition (Miami-Fort Lauderdale, FL CMSA, Seattle-Tacoma, WA CMSA, and Phoenix, AZ MSA). 2. Central Cities of CMSAs and Metropolitan Statistical Areas (MSAs) with fewer than 2,000,000 population (exclusive of those in the twenty-one largest CMSA/MSAs--i.e., those listed above) 3. Suburbs**** of the six largest CMSAs and 12 of the 15 next largest CMSA/MSAs 4. Suburbs of all other CMSA/MSAs 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within fifty miles of the central business district of a central city 6. Outlying Area: includes all territory more than fifty miles from the central business district of a central city * Central Cities as designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, DC (Jun 1990). ** Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas--Racial and Hispanic Origin Populations: 1990" Pp 33. *** Cleveland-Akron-Lorain, OH CMSA, Tampa-St Petersburg- Clearwater, FL CMSA and San Diego, CA MSA are not primary selections within the two-thirds SRC National Sample so do not occur in the 1992 NES data set. ***** Suburbs are defined as all "urbanized areas" in the Primary Area exclusive of the areas coded "1" and "2" above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: In the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which included a central city.) ============================== VAR M923068 92SAMPL ERROR COLUMNS 208 - 210 NUMERIC SAMPLING ERROR CODE 1992 (FOR COMBINED PANEL/CROSS-SECTION ANALYSIS) ---------------------------------------------------------- This code contains information for computing sampling errors for "cross-section" analysis of combined panel and cross-section data. Contact NES project staff or ISR's Sampling Section for further details. ============================== VAR M923069 90SAMPL ERROR/PANEL COLUMNS 211 - 213 NUMERIC SAMPLING ERROR CODE (FOR PANEL-ONLY ANALYSIS) --------------------------------------------- This code contains information for computing sampling errors for longitudinal panel-only analysis. Contact NES Project Staff or ISR's Sampling Section for further details. ============================== VAR M923070 92PRE: # HUS AT SAMP COLUMNS 214 - 214 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF HOUSEHOLD UNITS AT SAMPLE LOCATION ---------------------------------------------------------- 1. One HU 2. Two HUs 9. NA 0. INAP, 1992 Panel ============================== VAR M923071 92PRE: NEW ADDR COLUMNS 215 - 215 NUMERIC PRE-ELECTION, PANEL ONLY: RESPONDENT FOUND NOT LIVING AT SAMPLE LABEL ADDRESS, NEW ADDRESS IS: --------------------------------------------------------- Panel respondents who moved to areas where SRC doesn't have interviewing staff, were supposed to be questioned over the phone with an abbreviated version of the face to face questionnaire (Short-form). See variable 3011. 1. Within range 2. Out of range 3. Cannot obtain address 9. NA 0. INAP, 1992 Cross-section; R living at sample label address ============================== VAR M923072 92PRE: HU LST FRM COLUMNS 216 - 216 NUMERIC PRE-ELECTION, CROSS-SECTION: HOUSHOLD LISTING OBTAINED FROM: ------------------------------------------------------- NOTE: The Household listing in the cover sheet is used mainly to "select" the respondent, consequently no Household information was gathered for Panel respondents (Inap. in V3072-3082). 1. HU member 2. Neighbor 3. Apartment manager 5. Observation 7. Other (specify) 9. NA 0. INAP, 1992 Panel ============================== VAR M923073 92PRE: SEL TABLE COLUMNS 217 - 218 NUMERIC PRE-ELECTION, CROSS-SECTION: SELECTION TABLE -------------------------------------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel columns. In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the "Number" of the person who will be the respondent. Below is an example of what one Selection Table looks like [Table A]: SELECTION TABLE A If the number Interview of eligible the person persons is: numbered: 1 1 2 1 3 1 4 1 5 1 6 or more 1 There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. # PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 01. Table A 02. Table B1 03. Table C 04. Table D 05. Table E1 06. Table F 07. Table A 08. Table B2 09. Table C 10. Table D 11. Table E2 12. Table F 00. INAP, 1992 Panel case ============================== VAR M923074 92PRE: R PERS # COLUMNS 219 - 219 NUMERIC PRE-ELECTION, CROSS-SECTION: (FROM SELECTION TABLE) PERSON NUMBER SELECTED AS R ---------------------------------------------------------- See Note at 3072. 1. R is person numbered 1 2. R is person numbered 2 3. R is person numbered 3 4. R is person numbered 4 5. R is person numbered 5 6. R is person numbered 6 0. INAP, 1992 Panel ============================== VAR M923075 92PRE: # PERSONS COLUMNS 220 - 220 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF PERSONS IN HOUSEHOLD ------------------------------------------------------------ This number is on information provided in the household listing and includes all persons in the HH whether eligible or not for participation in the study according to the criteria of age and citizenship. Actual number (1-9) coded, except: See Note at 3072. 00. INAP, 1992 Panel ============================== VAR M923076 92PRE: # ELIG ADULTS COLUMNS 221 - 221 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF POLITICALLY ELIGIBLE ADULTS IN HH ------------------------------------------------------------ This number is derived from information provided in the household listing (cover-sheet) and includes HH members who were both U.S. citizens AND 18 years of age or older by election day 1992 See Note at 3072. 01. One eligible adult in HH 02. Two eligible adults in HH 03. Three eligible adults in HH 04. Four eligible adults in HH 05. Five eligible adults in HH 00. INAP, 1992 panel ============================== VAR M923077 92PRE: HH COMP COLUMNS 222 - 223 NUMERIC PRE-ELECTION, CROSS-SECTION: HOUSEHOLD COMPOSITION CODE -------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election da@y) or older; all individuals included in the HH composition codes below refer to adults. A designation of a HH member as "the householder" (HHR) describes HU member who owns or rents the home (in whose name the lease is held). Cohabiting couples are coded as married (30,40, 50-52). Roommates of opposite sex are coded 11,12,21,22; in all cases of unrelated roommates the respondent is HHR. See Note at 3072. 10. 1 adult male HHR 11. 1 adult male HHR plus 1 other non-relative 12. 1 adult male HHR plus 2 or more non-relatives 20. 1 adult female HHR 21. 1 adult female HHR plus 1 other non-relative 22. 1 adult female HHR plus 2 or more non-relatives 30. 1 married couple: no children or all children living at home are under 18 40. 1 married couple plus 1 other relative 50. 1 married couple plus 2 or more other relatives 51. 1 married couple plus 1 other non-relative 52. 1 married couple plus 2 or more non-relatives 60. 1 unmarried male HHR plus 1 other relative 70. 1 unmarried male HHR plus 2 or more other relatives 80. 1 unmarried female HHR plus 1 other relative 90. 1 unmarried female HHR plus 2 or more other relatives 95. Relatives of opposite sex, unclear who is HHR 00. INAP, 1992 Panel ============================== VAR M923078 92PRE: HH DESCR ALL COLUMNS 224 - 225 NUMERIC PRE-ELECTION: HOUSEHOLD DESCRIPTION FOR PANEL AND CROSS- SECTION -------------------------------------------------------- This variable was built for cross-section cases using: (1) questions Y55-Y56d for information about R's children and children for which R is responsible living with R at least half time; and (2) the household composition variable (3077) and marital status variable (Y2) for information about other adults. For cross-section cases, codes 10 and 11 correspond to 10 and 20 in 3077 (HH composition), codes 20 and 21 correspond to 1 and 7 in Y2 (marital status), and codes 30-31 correspond to cases in the non-married categories of Y2 (marital status) and not 10 nor 20 in CS15 (HH composition). Note, however, that six cases [IDs 39,92,224,359,599,704] coded 10 or 20 in the HH composition were actually cases of married Rs (spouse in nursing home, spouse living away due to work requirements, spouse in service), and these cases are included in codes 20-21 here. Since there was no Household Listing in 1992 for panel respondents, this variable was built using survey variables: (1) questions Y55-Y55d for information about R's children and children for which R is responsible living with R at least half time; and (2), since no HH composition variable is present, marital status (Y2) and question Y39 for information about other "adults." This means that for Panel cases coded 30-31, a person counted as another "adult" may include a household member 14-17 years old as well as persons 18 or older. Panel cases coded 10 and 11 correspond to 1 in Y39, codes 20 and 21 correspond to 1 and 7 in Y2 (marital status), and codes 30-31 correspond to cases coded 2 in Y39 and not 1 nor 7 in Y2. In all cases coded 20-21, adults other than R and spouse may also be in household. 10. One adult (R), no children 11. One adult (R), child/ren 20. Married/partnered couple including R, no children 21. Married/partnered couple including R, child/ren 30. 2 or more adults (R not married), no children 31. 2 or more adults (R not married), child/ren 99. NA 00. INAP, 3-4, 6-7 in FS3 ============================== VAR M923079 92PRE: KID 0 TO 5 COLUMNS 226 - 226 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN UNDER 6 YEARS OLD IN HH -------------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR M923080 92PRE: KID 6 TO 9 COLUMNS 227 - 227 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN 6-9 YEARS OLD IN HH ---------------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing. 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR M923081 92PRE: KID 10 TO 13 COLUMNS 228 - 228 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN 10-13 YEARS OLD ------------------------------------------------------------ See Note at 3081. This number is derived from information provided in the household listing. 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR M923082 92PRE: KID 14 TO 17 COLUMNS 229 - 229 NUMERIC PRE-ELECTION, CROSS-SECTION: NUMBER OF CHILDREN 14-17 YEARS OLD IN HH ----------------------------------------------------------- See Note at 3072. This number is derived from information provided in the household listing (CS14). 1. One child 2. . 3. . 4. . 5. Five children 9. NA; INAP, 1992 Panel ============================== VAR M923083 92PRE: SUPERVISOR ID COLUMNS 230 - 233 NUMERIC PRE-ELECTION: INTERVIEWER'S ID NUMBER ------------------------------------- Code actual NUMBER (0001-9999) from interviewer's label ============================== VAR M923084 SUPERVISOR COLUMNS 234 - 237 NUMERIC PRE-ELECTION: SUPERVISOR ID NUMBER ---------------------------------- SRC Interviewers report to regional Supervisors, whose ID numbers are entered here. These numbers range from 2576- 9958. ============================== VAR M923085 92PRE: IWER RACE COLUMNS 238 - 238 NUMERIC PRE-ELECTION: INTERVIEWER'S RACE -------------------------------- 1. White 2. Black 3. Native American 4. Asian 7. Other 9. NA ============================== VAR M923086 92PRE: IWER ETHNICITY COLUMNS 239 - 239 NUMERIC PRE-ELECTION: INTERVIEWER'S ETHNICITY ------------------------------------- 0. No ethnic identity coded 1. Hispanic 7. Other 9. NA ============================== VAR M923087 92PRE: IWER AGE BRACK COLUMNS 240 - 240 NUMERIC PRE-ELECTION: INTERVIEWER'S AGE BRACKETED ----------------------------------------- 1. 18-34 years 2. 35-40 3. 41-45 4. 46-50 5. 51-55 6. 56-60 7. 61-64 8. 65-79 9. NA ============================== VAR M923088 92PRE: IWER YRS EXPER COLUMNS 241 - 242 NUMERIC PRE-ELECTION: INTERVIEWER'S YEARS OF EXPERIENCE -- up to September 1, 1992 -------------------------------------------------------- 00. Less than one year . . 33. Thirty three years ============================== VAR M923089 92PRE: IWER GENDER COLUMNS 243 - 243 NUMERIC PRE-ELECTION: INTERVIEWER'S GENDER ---------------------------------- 1. Male 2. Female 9. NA ============================== VAR M923090 92PRE: IWER EDUC BRACK COLUMNS 244 - 244 NUMERIC PRE-ELECTION: INTERVIEWER'S EDUCATION ------------------------------------- 1. Some high school/HS diploma/equivalency 2. Some College 3. College: degree at Bachelor's level or greater 9. NA There are no variables in range 3091-3100 ============================== VAR M923101 92PRE: A1. ATTENT CAMP COLUMNS 245 - 245 NUMERIC A1. Some people don't pay much attention to political campaigns. How about you? Would you say that you have been very much interested, somewhat interested, or not much interested in the political campaigns so far this year? ------------------------------------------------------------ 1. VERY MUCH INTERESTED 3. SOMEWHAT INTERESTED 5. NOT MUCH INTERESTED 8. DK 9. NA ============================== VAR M923102 92PRE: A2. COLUMNS 246 - 246 NUMERIC A2. Who do you think will be elected President in November? ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. PEROT (volunteered) 7. OTHER, SPECIFY: 8. DK 9. NA ============================== VAR M923103 92PRE: A2a/b. COLUMNS 247 - 247 NUMERIC A2a. (IF R GIVES NAME:) Do you think the Presidential race will be close, or will (NAME GIVEN IN A2) win by quite a bit? A2b. (IF R SAYS DK:) Do you think the Presidential race will be close, or will one candidate win by quite a bit? ----------------------------------------------------------- 1. CLOSE RACE 3. WIN BY QUITE A BIT 8. DK 9. NA 0. Inap, 9 in A2 ============================== VAR M923104 92PRE: A3. COLUMNS 248 - 248 NUMERIC A3. How about here in (R's STATE)? Which candidate for President do you think will carry this state? (IF NECESSARY: Which candidate will win in this state?) ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. PEROT (volunteered) 7. OTHER, SPECIFY: 8. DK 9. NA ============================== VAR M923105 92PRE: A3a/b COLUMNS 249 - 249 NUMERIC A3a. (IF R GIVES NAME:) Do you think the Presidential race will be close here, or will (NAME GIVEN IN A2) win by quite a bit? A3b. (IF R SAYS DK:) Do you think the Presidential race will be close here, or will one candidate win by quite a bit? ------------------------------------------------------------ 1. CLOSE RACE 3. WIN BY QUITE A BIT 8. DK 9. NA 0. Inap, 9 in A3 ============================== VAR M923106 92PRE: A4. COLUMNS 250 - 250 NUMERIC A4. Generally speaking, would you say that you personally care a good deal who wins the presidential election this fall, or that you don't care very much who wins? ---------------------------------------------------------- 1. CARE A GOOD DEAL 3. DON'T CARE VERY MUCH 8. DK 9. NA ============================== VAR M923107 92PRE: A5. COLUMNS 251 - 251 NUMERIC A5. In 1988 George Bush ran on the Republican ticket against Michael Dukakis for the Democrats. Do you remember for sure whether or not you voted in that election? ----------------------------------------------------------- 1. YES, DID VOTE 5. NO, DIDN'T VOTE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923108 92PRE: A5a. COLUMNS 252 - 252 NUMERIC A5a. Which one did you vote for? --------------------------------- 1. BUSH 2. DUKAKIS 5. OTHER 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in A5 ============================== VAR M923109 92PRE: B1. LIKES BUSH COLUMNS 253 - 253 NUMERIC B1. Now I'd like to ask you about the good and bad points of the major candidates for President. Is there anything in particular about Mr. Bush that might make you want to vote for him? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M923110 92PRE: B1a. MENTION 1 COLUMNS 254 - 257 NUMERIC B1a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR M923111 92PRE: B1a. MENTION 2 COLUMNS 258 - 261 NUMERIC B1a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR M923112 92PRE: B1a. MENTION 3 COLUMNS 262 - 265 NUMERIC B1a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR M923113 92PRE: B1a. MENTION 4 COLUMNS 266 - 269 NUMERIC B1a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR M923114 92PRE: B1a. MENTION 5 COLUMNS 270 - 273 NUMERIC B1a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B1 ============================== VAR M923115 92PRE: B2. DISLIKE BUSH; COLUMNS 274 - 274 NUMERIC B2. Is there anything in particular about Mr. Bush that might make you want to vote against him? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923116 92PRE: B2a. MENTION 1 COLUMNS 275 - 278 NUMERIC B2a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR M923117 92PRE: B2a. MENTION 2 COLUMNS 279 - 282 NUMERIC B2a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR M923118 92PRE: B2a. MENTION 3 COLUMNS 283 - 286 NUMERIC B2a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR M923119 92PRE: B2a. MENTION 4 COLUMNS 287 - 290 NUMERIC B2a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR M923120 92PRE: B2a. MENTION 5 COLUMNS 291 - 294 NUMERIC B2a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B2 ============================== VAR M923121 92PRE: B3. LIKES CLINTON COLUMNS 295 - 295 NUMERIC B3. Is there anything in particular about Mr. Clinton that might make you want to vote for him? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923122 92PRE: B3a. MENTION 1 COLUMNS 296 - 299 NUMERIC B3a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR M923123 92PRE: B3a. MENTION 2 COLUMNS 300 - 303 NUMERIC B3a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR M923124 92PRE: B3a. MENTION 3 COLUMNS 304 - 307 NUMERIC B3a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR M923125 92PRE: B3a. MENTION 4 COLUMNS 308 - 311 NUMERIC B3a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR M923126 92PRE: B3a. MENTION 5 COLUMNS 312 - 315 NUMERIC B3a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B3 ============================== VAR M923127 92PRE: B4. DSLKE CLINTON COLUMNS 316 - 316 NUMERIC B4. Is there anything in particular about Mr. Clinton that might make you want to vote against him? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923128 92PRE: B4a. MENTION 1 COLUMNS 317 - 320 NUMERIC B4a(1). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR M923129 92PRE: B4a. MENTION 2 COLUMNS 321 - 324 NUMERIC B4a(2). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR M923130 92PRE: B4a. MENTION 3 COLUMNS 325 - 328 NUMERIC B4a(3). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR M923131 92PRE: B4a. MENTION 4 COLUMNS 329 - 332 NUMERIC B4a(4). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR M923132 92PRE: B4a. MENTION 5 COLUMNS 333 - 336 NUMERIC B4a(5). (What is that?) (5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 8-9 in B4 ============================== VAR M923133 92PRE: B4b. LIKE PEROT COLUMNS 337 - 337 NUMERIC B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4b. Is there anything about Mr. Perot that might make you want to vote for him? ----------------------------------------------------------- 1. YES 5. NO 7. Interview taken before question was added 8. DON'T KNOW 9. NA ============================== VAR M923134 92PRE: B4c. MENTION 1 COLUMNS 338 - 341 NUMERIC B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4c(1). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR M923135 92PRE: M4c. MENTION 2 COLUMNS 342 - 345 NUMERIC B4c(2). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR M923136 92PRE: B4c. MENTION 3 COLUMNS 346 - 349 NUMERIC B4c(3). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR M923137 92PRE: B4c. MENTION 4 COLUMNS 350 - 353 NUMERIC B4c(4). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR M923138 92PRE: B4c. MENTION 5 COLUMNS 354 - 357 NUMERIC B4c(5). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4b; no further mention ============================== VAR M923139 92PRE: B4d. DISLKE PEROT COLUMNS 358 - 358 NUMERIC B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4d. Is there anything about Mr. Perot that might make you want to vote against him? ----------------------------------------------------------- 1. YES 5. NO 7. Interview taken before question was asked 8. DON'T KNOW 9. NA ============================== VAR M923140 92PRE: B4e. MENTION 1 COLUMNS 359 - 362 NUMERIC B4b - B4e were added to the Pre-Election survey as of October 1, 1992 B4e(1). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR M923141 92PRE: B4e. MENTION 2 COLUMNS 363 - 366 NUMERIC B4e(2). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR M923142 92PRE: B4e. MENTION 3 COLUMNS 367 - 370 NUMERIC B4e(3). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR M923143 92PRE: B4e. MENTION 4 COLUMNS 371 - 374 NUMERIC B4e(4). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR M923144 92PRE: B4e. MENTION 5 COLUMNS 375 - 378 NUMERIC B4e(5). (What is that?) (PROBE: "Anything else?" Until R says "NO." 5 MENTIONS. See the PARTY-CANDIDATE Master Code.) ----------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 9998. DK 0000. Inap, 5, 7-9 in B4d; no further mention ============================== VAR M923145 92PRE: B5. COLUMNS 379 - 379 NUMERIC B5. (RB, P. 1) Please turn to page one of this booklet. How satisfied are you with the choice you have among the candidates running for president--very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ---------------------------------------------------------- 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 3. NOT VERY SATISFIED 4. NOT AT ALL SATISFIED 8. DK 9. NA There are no variables in range 3146-3200 ============================== VAR M923201 92PRE: C1. COLUMNS 380 - 380 NUMERIC C1. How many days in the past week did you watch the news on TV? ---------------------------------------------------------- Code NUMBER OF DAYS (0-7) 0. NONE 1. ONE DAY 2. TWO DAYS 3. THREE DAYS 4. FOUR DAYS 5. FIVE DAYS 6. SIX DAYS 7. EVERY DAY 8. DK 9. NA; Inap, 3-4, 6-7 in V3011 ============================== VAR M923202 92PRE: C1A. COLUMNS 381 - 381 NUMERIC C1a. (RB, P. 2) How much attention did you pay to news on TV about the campaign for President -- a great deal, quite a bit, some, very little, or none? ------------------------------------------------------------ 1. A GREAT DEAL 2. QUITE A BIT 3. SOME 4. VERY LITTLE 5. NONE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C1 ============================== VAR M923203 92PRE: C2. COLUMNS 382 - 382 NUMERIC C2. How many days in the past week did you read a daily newspaper? -------------------------------------------------------- Code NUMBER OF DAYS (1-7) 1. ONE DAY 2. . 3. . 4. . 5. . 6. . 7. EVERY DAY 8. DK 9. NA; Inap, 3-4, 6-7 in V3011 0. NONE ============================== VAR M923204 92PRE: C2a. COLUMNS 383 - 383 NUMERIC C2a. Did you read about the campaign in any newspaper? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C2 ============================== VAR M923205 92PRE: C2b. COLUMNS 384 - 384 NUMERIC C2b. How much attention did you pay to newspaper articles about the campaign for President -- a great deal, quite a bit, some, very little, or none? ------------------------------------------------------------ 1. A GREAT DEAL 2. QUITE A BIT 3. SOME 4. VERY LITTLE 5. NONE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in C2; 5, 8-9 in C2a ============================== VAR M923206 92PRE: C3. COLUMNS 385 - 385 NUMERIC C3. How about magazines -- did you read about the campaign in any magazines? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923207 92PRE: C3a. COLUMNS 386 - 386 NUMERIC C3a. How much attention did you pay to magazine articles about the campaign for President -- a great deal, quite a bit, some very little, or none? --------------------------------------------------------- 1. A GREAT DEAL 2. QUITE A BIT 3. SOME 4. VERY LITTLE 5. NONE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in C3 ============================== VAR M923208 92PRE: C4. COLUMNS 387 - 387 NUMERIC C4. Did you listen to any speeches or discussions about the campaign on the radio? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923209 92PRE: C4a. COLUMNS 388 - 388 NUMERIC C4a. Would you say you listened to a good many, several, or just one or two? ----------------------------------------------------------- 1. GOOD MANY 3. SEVERAL 5. ONE OR TWO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in C4 ============================== VAR M923210 92PRE: C5. COLUMNS 389 - 389 NUMERIC C5. Do you listen to or watch talk shows on radio or tv where people call in to voice their opinions? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923211 92PRE: C6. COLUMNS 390 - 390 NUMERIC C6. Do you recall seeing any presidential campaign advertisements on television? --------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923212 92PRE:C6A(1) COLUMNS 391 - 393 NUMERIC C6a(1). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 998. DK (C6a(1) only) 999. NA (C6a(1) only) 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR M923213 92PRE:C6A(2) COLUMNS 394 - 396 NUMERIC C6a(2). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR M923214 92PRE:C6A(3) COLUMNS 397 - 399 NUMERIC C6a(3). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR M923215 92PRE:C6A(4) COLUMNS 400 - 402 NUMERIC C6a(4). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information ============================== VAR M923216 92PRE:C6A(5) COLUMNS 403 - 405 NUMERIC C6a(5). Please tell me, what do you remember about any of these ads? (Do you remember any others?) (5 MENTIONS. See the POLITICAL ADVERTISEMENT Master Code.) ---------------------------------------------------------- SEE NOTE(S) 18 001. . . 997. 000. Inap, 3-4, 6-7, in V3011; 5, 8-9 in C6; no further information There are no variables in range 3217-3300 ============================== VAR M923301 92PRE: D1. VOTE PRIMARY COLUMNS 406 - 406 NUMERIC ARIZONA, IOWA, MINNESOTA, MISSOURI, VIRGINIA, WYOMING. D1 This state held its Democratic presidential nominating caucus in __________ and its Republican caucus in _________. In talking to people about caucuses, we find that many people did not vote for a variety of reasons. How about you - - did you vote in either of those caucuses? ALL OTHER STATES. D1. This state held a Presidential (primary/caucus) election in _________. In talking to people about elections, we find that many people did not vote for a variety of reasons. How about you -- did you vote in that (primary election/caucus)? ------------------------------------------------------------ 1. YES, VOTED 5. NO, DIDN'T VOTE 8. DK, CAN'T REMEMBER 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923302 92PRE: D1a. VOTE WHICH COLUMNS 407 - 407 NUMERIC D1a. Did you vote in the Republican or the Democratic (primary/caucus)? ------------------------------------------------------ 1. REPUBLICAN 5. DEMOCRATIC 8. DK, CAN'T REMEMBER 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1 ============================== VAR M923303 92PRE: D1b. COLUMNS 408 - 409 NUMERIC D1b. (BALLOT CARD) Here is a list of the Republican Presidential candidates in your state's (primary/caucus). Who did you vote for? --------------------------------------------------------- SEE NOTE(S) 22 01. George Bush 02. Patrick Buchanan 03. Uncommitted 90. Ross Perot (write-in) 96. Didn't vote for a presidential candidate/voted only for state or local candidates 97. Other 98. DK, CAN'T REMEMBER 99. NA 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1 or D1a ============================== VAR M923304 92PRE: D1c. COLUMNS 410 - 411 NUMERIC D1c. (BALLOT CARD) Here is a list of the Democratic Presidential candidates in your state's (primary/caucus). Who did you vote for? --------------------------------------------------------- 01. Bill Clinton 02. Paul Tsongas 03. Jerry Brown 04. Bob Kerry 05. Tom Harkin 06. Uncommitted 07. Voted for Bill Clinton as write-in in Republican primary (TN only) 90. Ross Perot (write-in) 96. Didn't vote for a presidential candidate/voted only for state or local candidates 97. Other 98. DK, CAN'T REMEMBER 99. NA 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in D1; 1, 8-9 in D1a ============================== VAR M923305 92PRE: D2a. THERM BUSH COLUMNS 412 - 414 NUMERIC D2. (RB, P.3) I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. Our first person is George Bush. How would you rate him using the thermometer? PROBE FOR "I DON'T KNOW" RESPONSE: When you say "don't know" do you mean that you don't know who the person is, or do you have something else in mind? D2a. GEORGE BUSH ------------------------------------------------------------ Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923306 92PRE: D2b. TH CLINTON COLUMNS 415 - 417 NUMERIC D2b. Bill Clinton ---------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923307 92PRE: D2c. TH PEROT COLUMNS 418 - 420 NUMERIC D2c. Ross Perot -------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923308 92PRE: D2d. TH QUAYLE COLUMNS 421 - 423 NUMERIC D2d. Dan Quayle -------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923309 92PRE: D2e. TH GORE COLUMNS 424 - 426 NUMERIC D2e. Albert Gore --------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923310 92PRE: D2f. TH A HILL COLUMNS 427 - 429 NUMERIC D2f. Anita Hill -------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923311 92PRE: D2g. FOLEY COLUMNS 430 - 432 NUMERIC D2g. Tom Foley ------------------------------------- Code actual number NOTE: It was discovered during interviewing that Tom Foley was also the name of a prominent district attorney in Ramsey County, MN. It is possible that some respondents in MN had that individual in mind. 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923312 92PRE: D2h. TH B BUSH COLUMNS 433 - 435 NUMERIC D2h. Barbara Bush ---------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923313 92PRE: D2j. TH HILLARY COLUMNS 436 - 438 NUMERIC D2j. Hillary Clinton ------------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923314 92PRE: D2k. THOMAS COLUMNS 439 - 441 NUMERIC D2k. Clarence Thomas ------------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923315 92PRE: D2m. BUCHANAN COLUMNS 442 - 444 NUMERIC D2m. Pat Buchanan ---------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923316 92PRE: D2n. TH JACKSON COLUMNS 445 - 447 NUMERIC D2n. Jesse Jackson ----------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE ["PROBE USED" variables are 4224-4237] 999. NA ============================== VAR M923317 92PRE: D3a. TH DEM PTY COLUMNS 448 - 450 NUMERIC D3. (RB, STILL ON P. 3) And still using the thermometer, how would you rate the following: D3a. The Democratic Party ---------------------------------------------------------- Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M923318 92PRE: D3b. TH REP PTY COLUMNS 451 - 453 NUMERIC D3b. The Republican Party ------------------------------------------------ Code actual number 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M923319 92PRE: D4. COLUMNS 454 - 454 NUMERIC D4. Do you approve or disapprove of the way George Bush is handling his job as president? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR M923320 92PRE: D4a/b. BUSH APPRV COLUMNS 455 - 455 NUMERIC D4a. Do you approve strongly or not strongly? D4b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D4 ============================== VAR M923321 92PRE: D5. COLUMNS 456 - 456 NUMERIC D5. Do you approve or disapprove of the way George Bush is handling our relations with foreign countries? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR M923322 92PRE: D5a/b. BUSH FORGN COLUMNS 457 - 457 NUMERIC D5a. Do you approve strongly or not strongly? D5b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D5 ============================== VAR M923323 92PRE: D6. COLUMNS 458 - 458 NUMERIC D6. Do you approve or disapprove of the way George Bush is handling the economy? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR M923324 92PRE: D6a/b. BUSH ECON COLUMNS 459 - 459 NUMERIC D6a. Do you approve strongly or not strongly? D6b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D6 ============================== VAR M923325 92PRE: D7. COLUMNS 460 - 460 NUMERIC D7. Do you approve or disapprove of the way George Bush is handling the crisis in the Persian Gulf? ----------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR M923326 92PRE: D7a/b. BUSH GOLF COLUMNS 461 - 461 NUMERIC D7a. Do you approve strongly or not strongly? D7b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in D7 ============================== VAR M923327 92PRE: D8a. COLUMNS 462 - 462 NUMERIC D8. (RB, P.4) Which presidential candidate do you think would do a better job at handling the nation's economy--George Bush, Bill Clinton, or wouldn't there be any difference between them?: (Who do you think would do a better job at...) D8a. HANDLING THE NATION'S ECONOMY? ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR M923328 92PRE: D8b. COLUMNS 463 - 463 NUMERIC D8b. handling foreign affairs? ---------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR M923329 92PRE: D8c. COLUMNS 464 - 464 NUMERIC D8c. solving the problem of poverty? ------------------------------------------------------------ 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR M923330 92PRE: D8d. COLUMNS 465 - 465 NUMERIC D8d. handling the problem of pollution and protecting the environment? ---------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR M923331 92PRE: D8e. COLUMNS 466 - 466 NUMERIC D8e. making health care more affordable? ----------------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA ============================== VAR M923332 92PRE: D8f. COLUMNS 467 - 467 NUMERIC D8f. reducing the budget deficit? ---------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. PEROT (volunteered) 8. DK 9. NA There are no variables in range 3333-3400 ============================== VAR M923401 92PRE: E1. LIKES DEM PTY COLUMNS 468 - 468 NUMERIC E1. I'd like to ask you what you think are the good and bad points about the two national parties. Is there anything in particular that you like about the Democratic Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M923402 92PRE: E1a. MENTION 1 COLUMNS 469 - 472 NUMERIC E1a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR M923403 92PRE: E1a. MENTION 2 COLUMNS 473 - 476 NUMERIC E1a(2). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR M923404 92PRE: E1a. MENTION 3 COLUMNS 477 - 480 NUMERIC E1a(3). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR M923405 92PRE: E1a. MENTION 4 COLUMNS 481 - 484 NUMERIC E1a(4). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR M923406 92PRE: E1a. MENTION 5 COLUMNS 485 - 488 NUMERIC E1a(5). [PROBE: Anything else you like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E1 ============================== VAR M923407 92PRE: E2. DSLKE DEM PTY COLUMNS 489 - 489 NUMERIC E2. Is there anything in particular that you don't like about the Democratic Party? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923408 92PRE: E2a. MENTION 1 COLUMNS 490 - 493 NUMERIC E2a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR M923409 92PRE: E2a. MENTION 2 COLUMNS 494 - 497 NUMERIC E2a(2). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR M923410 92PRE: E2a. MENTION 3 COLUMNS 498 - 501 NUMERIC E2a(3). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR M923411 92PRE: E2a. MENTION 4 COLUMNS 502 - 505 NUMERIC E2a(4). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR M923412 92PRE: E2a. MENTION 5 COLUMNS 506 - 509 NUMERIC E2a(5). [PROBE: Anything else you don't like about the Democratic Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E2 ============================== VAR M923413 92PRE: E3. LIKES REP PTY COLUMNS 510 - 510 NUMERIC E3. Is there anything in particular that you like about the Republican Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M923414 92PRE: E3a. MENTION 1 COLUMNS 511 - 514 NUMERIC E3a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) --------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR M923415 92PRE: E3a. MENTION 2 COLUMNS 515 - 518 NUMERIC E3a(2). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR M923416 92PRE: E3a. MENTION 3 COLUMNS 519 - 522 NUMERIC E3a(3). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR M923417 92PRE: E3a. MENTION 4 COLUMNS 523 - 526 NUMERIC E3a(4). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR M923418 92PRE: E3a. MENTION 5 COLUMNS 527 - 530 NUMERIC E3a(5). [PROBE: Anything else you like about the Republican Party? -- until R says "NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E3 ============================== VAR M923419 92PRE: E4. DSLKE REP PTY COLUMNS 531 - 531 NUMERIC E4. Is there anything in particular that you don't like about the Republican Party? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923420 92PRE: E4a. MENTION 1 COLUMNS 532 - 535 NUMERIC E4a(1). [IF NECESSARY: What is that?] [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ---------------------------------------------------------- SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR M923421 92PRE: E4a. MENTION 2 COLUMNS 536 - 539 NUMERIC E4a(2). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR M923422 92PRE: E4a. MENTION 3 COLUMNS 540 - 543 NUMERIC E4a(3). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR M923423 92PRE: E4a. MENTION 4 COLUMNS 544 - 547 NUMERIC E4a(4). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR M923424 92PRE: E4a. MENTION 5 COLUMNS 548 - 551 NUMERIC E4a(5). [PROBE: Anything else you don't like about the Republican Party? -- until R says"NO"] (5 mentions. See the PARTY-CANDIDATE Master Code.) ------------------------------------------------------------ SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, 5, 8-9 in E4 ============================== VAR M923425 92PRE: F1. COLUMNS 552 - 552 NUMERIC F1. We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are better off or worse off financially than you were a year ago? ----------------------------------------------------------- 1. BETTER OFF 3. SAME 5. WORSE OFF 8. DK 9. NA ============================== VAR M923426 92PRE: F1a/b. R FINANC COLUMNS 553 - 553 NUMERIC F1a. Is that much better off or somewhat better off? F1b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in F1 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in F1 ============================== VAR M923427 92PRE: F2. COLUMNS 554 - 554 NUMERIC F2. Now looking ahead, do you think that a year from now you (and your family living here) will be better off financially, or worse off, or just about the same as now? --------------------------------------------------------- 1. BETTER YEAR FROM NOW 3. SAME 5. WORSE YEAR FROM NOW 8. DK 9. NA ============================== VAR M923428 92PRE:F2A/B COLUMNS 555 - 555 NUMERIC F2a. Is that much better off or somewhat better off? F2b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in F2 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in F2 ============================== VAR M923429 92PRE: F3. COLUMNS 556 - 556 NUMERIC F3. Do you think that over the last year (your/your family's) income has gone up more than the cost of living, has it fallen behind, or has it stayed about even with the cost of living? ---------------------------------------------------------- 1. GONE UP MORE 3. STAYED ABOUT EVEN 5. FALLEN BEHIND 8. DK 9. NA ============================== VAR M923430 92PRE: F3a/b. COST LIVNG COLUMNS 557 - 557 NUMERIC F3a. Has it gone up a lot more or a little more? F3b. Has it fallen behind a lot or a little? ------------------------------------------------- 1. GONE UP A LOT 2. GONE UP A LITTLE 3. Same; 3 in F3 4. FALLEN BEHIND A LITTLE 5. FALLEN BEHIND A LOT 8. DK 9. NA 0. Inap, 8-9 in F3 ============================== VAR M923431 92PRE: F4. COLUMNS 558 - 558 NUMERIC F4. Over the past year have the economic policies of the federal government made you (and your family living here) better off, worse off,or haven't they made much of a difference either way? --------------------------------------------------------- 1. BETTER OFF 3. HAVEN'T MADE MUCH DIFFERENCE 5. WORSE OFF 8. DK 9. NA ============================== VAR M923432 92PRE: F4a/b. COLUMNS 559 - 559 NUMERIC F4a. Is that much better off or somewhat better off? F4b. Is that much worse off or somewhat worse off? ----------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in F4 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in F4 ============================== VAR M923433 92PRE: F5. COLUMNS 560 - 560 NUMERIC F5. During the past year (have you/has your family living here) been able to buy most of the things you needed and planned on buying or have you had to put off buying these things? ---------------------------------------------------------- 1. BEEN ABLE TO BUY 5. HAD TO PUT OFF BUYING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923434 92PRE: F6. COLUMNS 561 - 561 NUMERIC F6. In the past year did you (or anyone in your family living here) put off medical or dental treatment because you didn't have the money? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923435 92PRE: F7a. BORROW COLUMNS 562 - 562 NUMERIC F7. In order to make ends meet this past year did (any of) you do any of the following: F7a. borrow money from a bank, a lending institution, or from relatives or friends? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923436 92PRE: F7b. USE SAVING COLUMNS 563 - 563 NUMERIC F7b. (Did you) dip into your savings? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923437 92PRE: F7c. SEC JOB COLUMNS 564 - 564 NUMERIC F7c. (Did you) look for a job, look for a second job, or try to work more hours at your present job? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923438 92PRE: F8. COLUMNS 565 - 565 NUMERIC F8. Over the past year have you (and your family) been able to save any money? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923439 92PRE: F9. COLUMNS 566 - 566 NUMERIC F9. This past year have you (or anyone in your family living here) fallen behind in rent or house payments? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923440 92PRE: F10a. SOC SEC COLUMNS 567 - 567 NUMERIC F10. (RB, P. 5) Do you (or any family member living with you) currently receive payments from... F10a. ...Social Security? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923441 92PRE: F10b. FOOD STAMP COLUMNS 568 - 568 NUMERIC F10b. ...Food Stamps? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923442 92PRE: F10c. MEDICARE COLUMNS 569 - 569 NUMERIC F10c. ...Medicare? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923443 92PRE: F10d. MEDICAID COLUMNS 570 - 570 NUMERIC F10d. ...Medicaid? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923444 92PRE: F10e. UNEMPLOYM COLUMNS 571 - 571 NUMERIC F10e. ...Unemployment Compensation? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923445 92PRE: F10f. FDC COLUMNS 572 - 572 NUMERIC F10f. ...Aid to Families with Dependent Children? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923446 92PRE: F10G. VET BENF COLUMNS 573 - 573 NUMERIC F10g. ...Veterans Benefits? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M923447 92PRE: F10h. PENSION COLUMNS 574 - 574 NUMERIC F10h. ...Retirement pensions for federal government employees? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923448 92PRE: F10j. DISABILITY COLUMNS 575 - 575 NUMERIC F10j. ...Disability payments? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923449 92PRE: F10k. WORK COMP COLUMNS 576 - 576 NUMERIC F10k. ...Workman's compensation? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M923450 92PRE: F11. COLUMNS 577 - 577 NUMERIC F11. Which candidate for President would be more likely to try to raise taxes: George Bush or Bill Clinton, or wouldn't there be much difference between them? ----------------------------------------------------------- 1. BUSH 2. CLINTON 3. NO DIFFERENCE 4. Perot (volunteered) 8. DK 9. NA There are no variables in range 3451-3500 ============================== VAR M923501 92PRE: G1a. B ANGRY COLUMNS 578 - 578 NUMERIC G1. Now we would like to know something about the feelings you have toward the candidates for President. I am going to name a candidate, and I want you to tell me whether something about that person, or something he has done, has made you have certain feelings like anger or pride. Has George Bush -- because of the kind of person he is, or because of something he has done--ever made you feel: G1a. angry? ------------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923502 92PRE: G1b. B HOPEFUL COLUMNS 579 - 579 NUMERIC G1b. hopeful? ------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923503 92PRE: G1c. B AFRAID COLUMNS 580 - 580 NUMERIC G1c. afraid? ----------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923504 92PRE: G1d. B PROUD COLUMNS 581 - 581 NUMERIC G1d. proud? ---------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923505 92PRE: G2a. C ANGRY COLUMNS 582 - 582 NUMERIC G2. Think about Bill Clinton. Has Bill Clinton (-- because of the kind of person he is, or because of something he has done --) ever made you feel: G2a. angry? ------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923506 92PRE: G2b. C HOPEFUL COLUMNS 583 - 583 NUMERIC G2b. hopeful? ------------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923507 92PRE: G2c. C AFRAID COLUMNS 584 - 584 NUMERIC G2c. afraid? ------------------------------------------------------ 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923508 92PRE: G2d. C PROUD COLUMNS 585 - 585 NUMERIC G2d. proud? ----------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M923509 92PRE: G3a. LIB/CON 7PT COLUMNS 586 - 586 NUMERIC G3. (RB, P. 6) We hear a lot of talk these days about liberals and conservatives. Here is a 7-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. G3a. Where would you place yourself on this scale, or haven't you thought much about this? ---------------------------------------------------------- RATING (1-7) 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK; [DO NOT PROBE] 9. NA 0. HAVEN'T THOUGHT MUCH; [DO NOT PROBE] ============================== VAR M923510 92PRE: G3b. COLUMNS 587 - 587 NUMERIC G3b. INTERVIEWER CHECKPOINT ---------------------------- 1. RATING AT G3a IS 4 2. ALL OTHERS 0. Inap, 0, 8-9 in G3 ============================== VAR M923511 92PRE: G3c. COLUMNS 588 - 588 NUMERIC G3c. (IF MODERATE, MIDDLE OF ROAD) If you had to choose would you consider yourself a liberal or a conservative? -------------------------------------------------------- 1. LIBERAL 3. MODERATE, MIDDLE OF ROAD 5. CONSERVATIVE 7. REFUSES TO CHOOSE 8. DK 9. NA 0. Inap, 0, 1-3, 5-9 in G3 (2 in G3b) ============================== VAR M923512 92PRE: G3d. COLUMNS 589 - 589 NUMERIC G3d. (IF DON'T KNOW OR HAVEN'T THOUGHT MUCH:) If you had to choose would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 1. LIBERAL 3. MODERATE, MIDDLE OF ROAD 5. CONSERVATIVE 7. REFUSES TO CHOOSE 8. DK 9. NA 0. Inap, 1-7,9 in G3a ============================== VAR M923513 92PRE: G3x. LIB/CON 3P COLUMNS 590 - 590 NUMERIC G3x. SUMMARY: R's Ideological Placement, Bracketed --------------------------------------------------- Built from G3a, G3c-d 1. Liberal (1-3 in G3a; 1 in G3c; 1 in G3d) 3. Moderate (4 in G3a and 3, 7-9 in G3c; 3 in G3d) 5. Conservative (5-7 in G3a; 5 in G3c; 5 in G3d) 7. Refused to choose (0, 8 in G3a and 7 in G3d) 8. Don't Know (0, 8 in G3a and 8 in G3d) 9. NA to entire question series G3 (9 in G3a) 0. NA to follow up question G3d ============================== VAR M923514 92PRE: G3e/d1. BUSH COLUMNS 591 - 591 NUMERIC G3e/G3d1. (RB, STILL ON P. 6) Where would you place George Bush on this scale? ----------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 9 in G3d ============================== VAR M923515 92PRE: G3f/d2. CLINTON COLUMNS 592 - 592 NUMERIC G3f/G3d2. (Where would you place) Bill Clinton (on this scale)? -------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 9 in G3d ============================== VAR M923516 92PRE: G3g/d3. PEROT COLUMNS 593 - 593 NUMERIC G3g/G3d3. (Where would you place) Ross Perot (on this scale)? ------------------------------------------------------ 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 9 in G3d ============================== VAR M923517 92PRE: G3h. REP PTY COLUMNS 594 - 594 NUMERIC G3h. The Republican party? ------------------------------------------------------ 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 8-9 in G3d ============================== VAR M923518 92PRE: G3j. DEM PTY COLUMNS 595 - 595 NUMERIC G3j. The Democratic party? ------------------------------------------------------ 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK 9. NA 0. Inap, 9 in G3a; 8-9 in G3d ============================== VAR M923519 92PRE: G4. COLUMNS 596 - 596 NUMERIC G4. Do you think people who run for high public office should display higher moral standards in their personal life than does the average citizen? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923520 92PRE: G5a. COLUMNS 597 - 597 NUMERIC G5. (RB, P. 7) Some people say that there are certain qualities that make a person a true American. Others say that there isn't anything that makes one person more American than another. I'm going to read some of the things that have been mentioned. For each of the following, tell me how important you think it is in making someone a true American -- extremely important, very (important), somewhat (important), or not at all important. G5a. Trying to get ahead on your own effort? ------------------------------------------------------------ 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923521 92PRE: G5b. COLUMNS 598 - 598 NUMERIC G5b. (How about) believing in God? ------------------------------------------------------------ 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923522 92PRE: G5c. COLUMNS 599 - 599 NUMERIC G5c. Treating people of all races and backgrounds equally? ------------------------------------------------------- 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923523 92PRE: G5d. COLUMNS 600 - 600 NUMERIC G5d. Speaking English? ------------------------------------------------------- 1. EXTREMELY IMPORTANT 2. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 4. NOT AT ALL IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923524 92PRE: G6. COLUMNS 601 - 601 NUMERIC G6. (RB, P. 8) Some people say that it is better for America if different racial and ethnic groups maintain their distinct cultures. Others say that it is better if groups change so that they blend into the larger society as in the idea of a melting pot. Which of these positions comes closer to your own opinion: Racial and ethnic groups should maintain their distinct cultures, or groups should change so that they blend into the larger society? ------------------------------------------------------------ 1. GROUPS SHOULD MAINTAIN THEIR DISTINCT CULTURES 3. NEITHER/BOTH, ETC. (VOLUNTEERED) 5. GROUPS SHOULD CHANGE AND BLEND INTO THE LARGER SOCIETY 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923525 92PRE: G7. COLUMNS 602 - 602 NUMERIC G7. Do you think that most men who tried to avoid military service during the Vietnam War should have served regardless of their personal beliefs? ------------------------------------------------------------ 1. YES, SHOULD HAVE SERVED 2. NO, NEED NOT HAVE SERVED 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923526 92PRE: H1. COLUMNS 603 - 603 NUMERIC H1. Do you feel things in this country are generally going in the right direction, or do you feel things have pretty seriously gotten off on the wrong track? ----------------------------------------------------------- 1. RIGHT DIRECTION 5. WRONG TRACK 8. DK 9. NA ============================== VAR M923527 92PRE: H2. COLUMNS 604 - 604 NUMERIC H2. Would you say that over the past year, the level of unemployment in the country has gotten better, stayed about the same, or gotten worse? ----------------------------------------------------------- 1. BETTER 3. STAYED SAME 5. WORSE 8. DK 9. NA ============================== VAR M923528 92PRE: H2a/b. COLUMNS 605 - 605 NUMERIC H2a. Would you say much better or somewhat better? H2b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H2 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H2 ============================== VAR M923529 92PRE: H3. COLUMNS 606 - 606 NUMERIC H3. Would you say that over the past year, inflation has gotten better, stayed about the same, or gotten worse? --------------------------------------------------------- 1. BETTER 3. STAYED SAME 5. WORSE 8. DK 9. NA ============================== VAR M923530 92PRE: H3a/b. COLUMNS 607 - 607 NUMERIC H3a. Would you say much better or somewhat better? H3b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H3 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H3 ============================== VAR M923531 92PRE: H4. COLUMNS 608 - 608 NUMERIC H4. How about the economy. Would you say that over the past year the nation's economy has gotten better, stayed about the same, or gotten worse? -------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA ============================== VAR M923532 92PRE: H4a/b. NAT ECON COLUMNS 609 - 609 NUMERIC H4a. Would you say much better or somewhat better? H4b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H4 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H4 ============================== VAR M923533 92PRE: H5. COLUMNS 610 - 610 NUMERIC H5. What about in the last few months, since about the 4th of July. Would you say that the nation's economy has gotten better, stayed about the same, or gotten worse? ----------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923534 92PRE: H5a/b. COLUMNS 611 - 611 NUMERIC H5a. Would you say much better or somewhat better? H5b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H5 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 8-9 in H5 ============================== VAR M923535 92PRE: H6. COLUMNS 612 - 612 NUMERIC H6. Compared to four years ago, would you say that the nation's economy has gotten better, stayed about the same, or gotten worse? ---------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923536 92PRE: H6a/b. COLUMNS 613 - 613 NUMERIC H6a. Would you say much better or somewhat better? H6b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H6 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 8-9 in H6 ============================== VAR M923537 92PRE: H7. COLUMNS 614 - 614 NUMERIC H7. What about the next 12 months? Do you expect the national economy to get better, get worse, or stay about the same? ------------------------------------------------------------ 1. GET BETTER 3. STAY THE SAME 5. GET WORSE 8. DK 9. NA ============================== VAR M923538 92PRE: H8. COLUMNS 615 - 615 NUMERIC H8. What about America's ability to compete in the world economy? Over the past year has that gotten better, stayed the same, or gotten worse? ---------------------------------------------------------- 1. BETTER 3. STAYED SAME 5. WORSE 8. DK 9. NA ============================== VAR M923539 92PRE: H8a/b. COLUMNS 616 - 616 NUMERIC H8a. Would you say much better or somewhat better? H8b. Would you say much worse or somewhat worse? --------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H8 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H8 ============================== VAR M923540 92PRE: H9. COLUMNS 617 - 617 NUMERIC H9. Do you think that twenty years from now, the standard of living for the people who are just children now will be better, about the same, or worse than it is today? ---------------------------------------------------------- 1. BETTER 3. SAME 5. WORSE 8. DK 9. NA ============================== VAR M923541 92PRE: H10. COLUMNS 618 - 618 NUMERIC H10. Over the past year would you say that the economic policies of the federal government have made the nation's economy better, worse, or haven't they made much difference either way? ----------------------------------------------------------- 1. BETTER 3. HAVEN'T MADE MUCH DIFFERENCE 5. WORSE 8. DK 9. NA ============================== VAR M923542 92PRE: H10a/b. COLUMNS 619 - 619 NUMERIC H10a. Would you say much better or somewhat better? H10b. Would you say much worse or somewhat worse? ---------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H10 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H10 ============================== VAR M923543 92PRE: H11. COLUMNS 620 - 620 NUMERIC H11. What about the economic conditions in this state. Would you say that over the past year economic conditions in this state have gotten better, stayed about the same, or gotten worse? ------------------------------------------------------------ 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA ============================== VAR M923544 92PRE: H11a/b. COLUMNS 621 - 621 NUMERIC H11a. Would you say much better or somewhat better? H11b. Would you say much worse or somewhat worse? ---------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in H11 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in H11 ============================== VAR M923545 92PRE: H12a. COLUMNS 622 - 622 NUMERIC H12a. (RB, P. 9) Which party do you think would do a better job of handling the nation's economy, the Democrats, the Republicans, or wouldn't there be much difference between them? ----------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR M923546 92PRE: H12b. COLUMNS 623 - 623 NUMERIC H12b. Which party do you think would do a better job of handling foreign affairs? -------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR M923547 92PRE: H12c. COLUMNS 624 - 624 NUMERIC H12c. Which party do you think would do a better job of handling solving the problem of poverty? -------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR M923548 92PRE: H12d. COLUMNS 625 - 625 NUMERIC H12d. Which party do you think would do a better job of handling making health care more affordable? -------------------------------------------------------- 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL) 7. NEITHER (VOL) 8. DK 9. NA ============================== VAR M923549 92PRE: H13. COLUMNS 626 - 626 NUMERIC H13. (RB, STILL P.9) Which party is more likely to cut social security benefits; the Democrats, the Republicans, or wouldn't there be much difference between them? ------------------------------------------------------------ 1. DEMOCRATS 3. NOT MUCH DIFFERENCE 5. REPUBLICANS 8. DK 9. NA ============================== VAR M923550 92PRE: H14. COLUMNS 627 - 627 NUMERIC H14. (RB, STILL P. 9) Which party is more likely to raise taxes; the Democrats, the Republicans or wouldn't there be much difference between them? ---------------------------------------------------------- 1. DEMOCRATS 3. NOT MUCH DIFFERENCE 5. REPUBLICANS 8. DK 9. NA ============================== VAR M923551 92PRE: H15. COLUMNS 628 - 628 NUMERIC H15. Who do you think is more to blame for the federal budget deficit, the Bush administration or the Democratic Congress? --------------------------------------------------------- 1. BUSH ADMINISTRATION 2. DEMOCRATIC CONGRESS 3. BOTH (VOL) 7. Reagan (volunteered) 8. DK 9. NA There are no variables in range 3552-3600 ============================== VAR M923601 92PRE: J1. US WEAKER COLUMNS 629 - 629 NUMERIC J1. During the past year, would you say that the United States' position in the world has grown weaker, stayed about the same, or has it grown stronger? ------------------------------------------------------------ 1. WEAKER 3. STAYED THE SAME 5. STRONGER 8. DK 9. NA ============================== VAR M923602 92PRE: J2. COLUMNS 630 - 630 NUMERIC J2. Looking ahead, do you think the problem of keeping out of war would be handled better in the next four years by the Republicans, by the Democrats, or about the same by both? ------------------------------------------------------------ 1. BETTER BY REPUBLICANS 3. SAME BY BOTH 5. BETTER BY DEMOCRATS 8. DK 9. NA ============================== VAR M923603 92PRE: J3. COLUMNS 631 - 631 NUMERIC J3. (RB, P. 10) Some people say the U.S. should maintain its position as the world's strongest military power even if it means continuing high defense spending. Would you say that you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, disagree strongly? ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE OR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M923604 92PRE: J4. COLUMNS 632 - 632 NUMERIC J4. I am going to read you a statement about U.S. foreign policy and I would like you to tell me whether you agree or disagree. This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world. ----------------------------------------------------------- 1. AGREE 5. DISAGREE 8. DK 9. NA ============================== VAR M923605 92PRE: J5. COLUMNS 633 - 633 NUMERIC J5. (RB, P. 11) In the future, how willing should the United States be to use military force to solve international problems... extremely willing, very willing, somewhat willing, not very willing, or never willing? ---------------------------------------------------------- 1. EXTREMELY WILLING 2. VERY WILLING 3. SOMEWHAT WILLING 4. NOT VERY WILLING 5. NEVER WILLING 8. DK 9. NA ============================== VAR M923606 92PRE: J6. COLUMNS 634 - 634 NUMERIC J6. How worried are you about our country getting into a nuclear war at this time? Are you very worried, somewhat worried, or not worried at all? --------------------------------------------------------- 1. VERY WORRIED 3. SOMEWHAT WORRIED 5. NOT WORRIED 8. DK 9. NA ============================== VAR M923607 92PRE: J7. COLUMNS 635 - 635 NUMERIC J7. How worried are you about our country getting into a conventional war at this time, one in which nuclear weapons are not used? Are you very worried, somewhat worried, or not worried at all? ----------------------------------------------------------- 1. VERY WORRIED 3. SOMEWHAT WORRIED 5. NOT WORRIED 8. DK 9. NA ============================== VAR M923608 92PRE: J8. COLUMNS 636 - 636 NUMERIC J8. Now we want to ask you about the Persian Gulf war that took place in early 1991. Do you think we did the right thing in sending U.S. military forces to the Persian Gulf or should we have stayed out? ------------------------------------------------------------ 1. DID THE RIGHT THING 3. DEPENDS (VOL.) 5. SHOULD HAVE STAYED OUT 7. OTHER - SPECIFY 8. DK 9. NA ============================== VAR M923609 92PRE: J9. COLUMNS 637 - 637 NUMERIC J9. Before the war actually started, do you think one political party was more in favor of using military force in the Persian Gulf than the other party was, or do you think they were about equal in their support for using force? ------------------------------------------------------------ 1. ONE PARTY MORE 5. ABOUT EQUAL 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923610 92PRE: J9a. COLUMNS 638 - 638 NUMERIC J9a. (Which party supported the use of force more?) ---------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J9 ============================== VAR M923611 92PRE: J10. COLUMNS 639 - 639 NUMERIC NOTE: J10-J11b presented difficult problems for interviewers and respondents alike. The intended reference was the incumbent of the 102nd Congress running for re-election as the district was constituted for the 103 rd Congress. Thus, many respondents were asked to evaluate the performance of an incumbent who was not their Representative in the 102nd Congress. Second, primaries were not held in FL, AZ, CT,NH, LA, MA MN NY, WA, WI until after the start of interviewing on September 1, so in many cases names of candidates were not decided at the start of interviewing. The candidate names were given to interviewers as soon as they became available. J10. INTERVIEWER CHECKPOINT ------------------------------------------------------------ 1. J11 PRE-EDITED WITH NAME #33 OR #34 FROM CANDIDATE LIST 2. NO NAME #33 OR #34 IN CANDIDATE LIST ============================== VAR M923612 92PRE: J11. COLUMNS 640 - 640 NUMERIC J11. Do you remember how (_____________________) who is running (NAME #33, #34) for re-election in this district, voted on the use of force in the Persian Gulf? --------------------------------------------------------- 1. YES 5. NO/DON'T REMEMBER/DK [DO NOT PROBE] 9. NA 0. Inap, 2 in J10 ============================== VAR M923613 92PRE: J11a. COLUMNS 641 - 641 NUMERIC J11a. Did (he/she) vote for or against the use of force? --------------------------------------------------------- 1. FOR 5. AGAINST 8. DK 9. NA 0. Inap, 2 in J10; 5, 8-9 in J11 ============================== VAR M923614 92PRE: J11b. COLUMNS 642 - 642 NUMERIC J11b. Would you guess that (he/she) probably voted for or against the use of force? ---------------------------------------------------------- 1. FOR 5. AGAINST 8. DK 9. NA 0. Inap, 2 in J10; 1, 8-9 in J11 ============================== VAR M923615 92PRE: J12. COLUMNS 643 - 643 NUMERIC J12. Do you approve or disapprove of the way George Bush handled the war in the Persian Gulf? --------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DK 9. NA ============================== VAR M923616 92PRE: J12a/b. COLUMNS 644 - 644 NUMERIC J12a. Do you approve strongly or not strongly? J12b. Do you disapprove strongly or not strongly? -------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in J12 ============================== VAR M923617 92PRE: J13. CONSEQ WAR G COLUMNS 645 - 645 NUMERIC J13. As you look back on the Persian Gulf War now, do you think that anything good came out of it for the United States? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923618 92PRE: J13a. MENTION 1 COLUMNS 646 - 647 NUMERIC J13a(1). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; decreased the trade deficit; unemployment went down/ jobs opened up 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention ============================== VAR M923619 92PRE: J13a. MENTION 2 COLUMNS 648 - 649 NUMERIC J13a(2). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; decreased the trade deficit; unemployment went down/ jobs opened up 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention ============================== VAR M923620 92PRE: J13a. MENTION 3 COLUMNS 650 - 651 NUMERIC J13a(3). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; decreased the trade deficit; unemployment went down/ jobs opened up 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention ============================== VAR M923621 92PRE: J13a. MENTION 4 COLUMNS 652 - 653 NUMERIC J13a(4). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; decreased the trade deficit; unemployment went down/ jobs opened up 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention ============================== VAR M923622 92PRE: J13a. MENTION 5 COLUMNS 654 - 655 NUMERIC J13a(5). What did you have in mind? (5 MENTIONS) ------------------------------------------------------------ NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) Good Effects 11. National Unity--united the country; showed we can pull together in a crisis/will support our troops in war 12. National Confidence--raised our self- esteem/self-confidence; showed we are willing to stand up for ourselves/not willing to be pushed around; put to rest the self-doubts/bad feelings over the Viet Nam war. 13. Patriotism--increased pride in the nation/flag; made people proud to be American 14. Made people (more) aware of international situation(s) 16. U.S. Troops--low U.S. casualties; brought soldiers back safely; troops performed well; good leaders emerged during the war 17. The Military--raised the morale/pride of our armed forces; increased respect for the military/veterans; gave the Viet Nam veterans the approval/recognition they deserve 18. Military Victory--we won; proved we are capable of winning a war; showed that we could go into a war to win; demonstrated that we could win a war quickly/with minimum casualties 19. Military Capability--successfully tested our military capability; proved our high technology weapons would work; proved that a volunteer army could fight/defend the U.S.; raised confidence in our defense systems/ program; gave us experience in fighting against Soviet equipment/strategies; gained experience in mobilization and deployment of military forces. 21. Respect--other nations have more respect for us; it made the U.S. well-liked; demonstrated U.S. leadership in the world; showed the world that we are powerful; strengthened our position in the world; will make other countries think twice before tangling with us 22. Resolution--showed we are willing to back up our words with actions/that we mean what we say/that we keep our promises 23. New World Order--showed we will stand up to aggression/will protect our interests/are willing to fight for what is right; shows we will protect weaker countries from aggression by big countries/that we will defend freedom and democracy throughout the world; brought the U.S. recognition as a peace-keeping nation/force; might deter other dictators from trying the same thing in the future; increased the chances/ opportunity for world peace 24. Collective Security--proved that the nations of the world could work together for the good of mankind; strengthened the United Nations as a force for peace 25. Contributed to ending cold war/breakup of Soviet Union/stopping spread of communism; improved relations with Russia 31. U.S. Economy--strengthened/helped the economy; decreased the trade deficit; unemployment went down/ jobs opened up 32. Oil--secured our oil supply; we can get the oil we need/more oil now; lowered the price of oil/gasoline; kept Saddam Hussein from taking control of the world's oil supply 41. Mideast Stability--increased the stability/prospects for peace in the mideast. 42. Relations with Mideast Nations--improved our relations with Israel/Arab countries/Gulf states 43. Kuwait--helped/liberated Kuwait; drove Iraq/Saddam Hussein from Kuwait 44. Iraq--defeated Iraq; destroyed Saddam Hussein's military strength/ability to make nuclear or biological weapons; stopped Iraq/Saddam Hussein from taking over other countries; cut Iraq/Saddam Hussein down to size 49. Other Good Effects Miscellaneous Responses (Use for both F9a and F10a) 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J13; no further mention ============================== VAR M923623 92PRE: J14. CONSEQ WAR B COLUMNS 656 - 656 NUMERIC J14. Other than losing lives, do you think anything bad came out of the war for the United States? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923624 92PRE: J14a. MENTION 1 COLUMNS 657 - 658 NUMERIC J14a(1). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will decrease or has decreased the supply of oil in the world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention ============================== VAR M923625 92PRE: J14a. MENTION 2 COLUMNS 659 - 660 NUMERIC J14a(2). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will decrease or has decreased the supply of oil in the world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention ============================== VAR M923626 92PRE: J14a. MENTION 3 COLUMNS 661 - 662 NUMERIC J14a(3). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will decrease or has decreased the supply of oil in the world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention ============================== VAR M923627 92PRE: J14a. MENTION 4 COLUMNS 663 - 664 NUMERIC J14a(4). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will decrease or has decreased the supply of oil in the world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention ============================== VAR M923628 92PRE: J14a. MENTION 5 COLUMNS 665 - 666 NUMERIC J14a(5). What did you have in mind? (5 MENTIONS) ----------------------------------------------------------- NOTE: This code has been updated from the one used for the 1991 Political Consequences of War Study (ICPSR #9673) 5 mentions. Bad Effects 51. Tarnished U.S. Image (NFS)--projected a bad image of U.S. to the world/in poor countries/in the mideast; lost us the respect of other nations; generated ill will/made enemies for us in other countries 52. Aggressor Nation--gives us the image of being an aggressor/warmonger nation; makes us appear willing to fight for pay for anyone who has the money; makes it easier for us to use force again when faced with an international problem; might make us overconfident in our ability to get our way by use of force 53. International Policeman--made ourselves the international policeman; obligated ourselves to give military protection to all/other (small) countries 61. Foreign Deaths--a lot of innocent people in the mideast were killed, displaced or wounded; deaths in Israel from missile attacks; Iraqis killed during and after the war 62. Environmental Damage--burning oil wells polluting the air; oil released into the Gulf polluting water and beaches; damage done to wild fowl and sealife 63. War Damage--damage done to countries in the mideast; we will have to pay for/be responsible for cleaning up the damage done to Iraq/Kuwait/Israel during the war 64. Deepened Our Involvement--we are now more deeply involved in the politics of the mideast/in the Arab-Israeli problem 71. Hurt the U.S. Economy--caused a recession; people lost their jobs/can't find jobs 72. Energy Costs--increased the cost of oil/gasoline; didn't lower/change the cost of oil/gasoline; will decrease or has decreased the supply of oil in the world/destroyed oil wells 73. Oil Dependency--increased our dependence on (mideast) oil for energy; made us less willing to develop other sources of energy 74. Financial Cost--we spent a lot of money; lost a lot of supplies/armaments/equipment; need to raise taxes to pay for the war; increased our national debt 75. Neglected Domestic Needs--money diverted from domestic programs/needs in order to finance the war 76. Defense Spending--will encourage increased spending on defense; will lessen pressure to cut defense spending 77. Effect on U.S. Civilians--disrupted the lives of people called into the service/sent overseas; caused hardship for families of reservists called to active duty; created stress/emotional problems for children 78. Effect on U.S. Soldiers-- emotional/psychological problems caused by combat; medical problems/diseases contracted while in the Gulf; sexual assaults suffered by female soldiers 79. Bad effect on U.S. morale or character; caused internal divisions and/or unrest; nationalistic frenzy; distorted national goals and priorities; caused U.S. to do bad or immoral things 80. Military conduct of war was bad/doesn't reflect favorably on U.S.; American soldiers being killed by own forces; weapons that didn't work (properly); bad or botched military strategy 81. Left Saddam in Power--didn't get rid of/punish Saddam Hussein; didn't finish the job 82. Kuwait Not a Democracy--failure of Kuwait to establish a democratic government; repression/injustice being committed in Kuwait since the end of the war 83. Failed Rebellion--we encouraged Iraqis to rebel against Saddam Hussein then didn't support them/left them to fight alone; Kurdish refugee problem--all mentions 84. Troops Still in Iraq--we still have forces in Iraq; the war is not over yet 85. "Iraqgate"--all mentions of selling arms to/failing to restrain Iraq; diminished support for Gulf War/ confidence in government because of "Iraqgate" events 86. Doubts about having been told the truth about the conduct of the war/goals of the war; skepticism about motives for going to war (e.g., political play, gain economic advantages, protect oil supply) Miscellaneous Responses (Use for both F9a and F10a) 87. Solved No Problems--didn't resolve any of the problem in the mideast; didn't cause the countries in the mideast to unite/get along better; didn't bring peace to the mideast 88. Didn't Accomplish Anything (NFS)--everything about the war was bad; nothing good came from the war; nothing (good) was accomplished 89. Other Bad Effects 95. Nothing that I can pinpoint/think of right now (ONLY answer given by R) 96. I can't explain it/put it into words (ONLY answer given by R) 97. Other Miscellaneous Response 98. DK; haven't really thought about it (first mention only) 99. NA; refused; R only mentions loss of American lives/people losing loved ones in the war (first mention only) 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in J14; no further mention ============================== VAR M923629 92PRE: J15. COLUMNS 667 - 667 NUMERIC J15. All things considered, do you think the war was worth the cost or not? ----------------------------------------------------------- 1. WORTH IT 5. NOT WORTH IT 8. DK 9. NA ============================== VAR M923630 92PRE: J16. COLUMNS 668 - 668 NUMERIC J16. Some people think that the U.S. and its allies should have continued to fight Iraq until Saddam Hussein was driven from power. Others think that the U.S. was right to stop fighting after Kuwait was liberated. What do you think? Should the war have continued or should it have stopped? ------------------------------------------------------------ 1. SHOULD HAVE CONTINUED 3. SHOULD HAVE STOPPED 5. DK/NEITHER/BOTH, ETC. (VOL.) 8. DK 9. NA ============================== VAR M923631 92PRE: K1. COLUMNS 669 - 669 NUMERIC K1. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? ------------------------------------------------------------ 1. REPUBLICAN 5. DEMOCRAT 2. INDEPENDENT 3. NO PREFERENCE 4. OTHER PARTY 8. DK 9. NA ============================== VAR M923632 92PRE: K1a/b. COLUMNS 670 - 670 NUMERIC K1a. Would you call yourself a strong Republican or a not very strong Republican? K1b. Would you call yourself a strong Democrat or a not very strong Democrat? ---------------------------------------------------------- 1. STRONG 5. NOT VERY STRONG 8. DK 9. NA 0. Inap, 2-4, 8-9 in K1 ============================== VAR M923633 92PRE: K1c. COLUMNS 671 - 671 NUMERIC K1c. Do you think of yourself as closer to the Republican Party or to the Democratic Party? ---------------------------------------------------------- 1. CLOSER TO REPUBLICAN 3. NEITHER 5. CLOSER TO DEMOCRATIC 8. DK 9. NA 0. Inap, 1, 5, 8-9 in K1 ============================== VAR M923634 92PRE: K1z. PARTY ID COLUMNS 672 - 672 NUMERIC K1z. SUMMARY: R's Party ID ---------------------------- Built from K1, K1a-c Code 8 (APOLITICAL) was used only if Respondent had a code of 3 (NO PREFERENCE) in K1 and a code of 3, 8, or 9 (NEITHER, DK, OR NA) in K1c and also showed little or no interest in politics in response to each of the following questions: A1 (pre), A4 (pre), M4 (pre), F1 (post). Respondents who showed interest in politics in response to A1 (pre), A4 (pre), M4 (pre), or F1 (post) were recoded to 3. 0. STRONG DEMOCRAT (510) 1. WEAK DEMOCRAT (550, 580, 590) 2. INDEPENDENT-DEMOCRAT (205, 305, 405) 3. INDEPENDENT-INDEPENDENT (203, 208, 209) 4. INDEPENDENT-REPUBLICAN (201, 301, 401) 5. WEAK REPUBLICAN (150, 180, 190) 6. STRONG REPUBLICAN (110) 7. OTHER-MINOR PARTY, REFUSES TO SAY (403, 408, 409) 8. APOLITICAL (303, 308, 309) 9. NA (800, 900) ============================== VAR M923635 92PRE: K2a. B INTELLIG COLUMNS 673 - 673 NUMERIC K2. (RB, P. 12) I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate I name. Think about George Bush. In your opinion does the phrase "he is intelligent" describe George Bush extremely well, quite well, not too well, or not well at all? K2a. INTELLIGENT? ---------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923636 92PRE: K2b. B COMPASS COLUMNS 674 - 674 NUMERIC K2b. (How about) Compassionate? <...as a word or phrase that describes George Bush> -------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923637 92PRE: K2c. B MORAL COLUMNS 675 - 675 NUMERIC K2c. Moral? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923638 92PRE: K2d. B INSPIRING COLUMNS 676 - 676 NUMERIC K2d. Inspiring? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923639 92PRE: K2e. B LEADER COLUMNS 677 - 677 NUMERIC K2e. Provides strong leadership? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923640 92PRE: K2f. B CARES COLUMNS 678 - 678 NUMERIC K2f. Really cares about people like you? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923641 92PRE: K2g. B KNOWLEDG COLUMNS 679 - 679 NUMERIC K2g. Knowledgeable? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923642 92PRE: K2h. B HONEST COLUMNS 680 - 680 NUMERIC K2h. Honest? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923643 92PRE: K2i. THINGS DONE COLUMNS 681 - 681 NUMERIC K2i. Gets things done? ------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923644 92PRE: K3a. C INTELLIG COLUMNS 682 - 682 NUMERIC K3. (RB, STILL ON P. 12) Think about Bill Clinton. In your opinion, does "intelligent" describe Bill Clinton extremely well, quite well, not too well, or not well at all? K3a. INTELLIGENT? ------------------------------------------------------------ 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923645 92PRE: K3b. C COMPASS COLUMNS 683 - 683 NUMERIC K3b. (How about) Compassionate? <...as a word or phrase that describes Bill Clinton> -------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923646 92PRE: K3c. C MORAL COLUMNS 684 - 684 NUMERIC K3c. Moral? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923647 92PRE: K3d. C INSPIRING COLUMNS 685 - 685 NUMERIC K3d. Inspiring? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923648 92PRE: K3e. C LEADER COLUMNS 686 - 686 NUMERIC K3e. Provides strong leadership? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923649 92PRE: K3f. C CARES COLUMNS 687 - 687 NUMERIC K3f. Really cares about people like you? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923650 92PRE: K3g. C KNOWLEDG COLUMNS 688 - 688 NUMERIC K3g. Knowledgeable? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923651 92PRE: K3h. C HONEST COLUMNS 689 - 689 NUMERIC K3h. Honest? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA ============================== VAR M923652 92PRE: K3i. C THING DONE COLUMNS 690 - 690 NUMERIC K3i. Gets things done? ----------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA There are no variables in range 3653-3700 ============================== VAR M923701 92PRE: L1a. SPEND/SERV COLUMNS 691 - 691 NUMERIC L1. (RB, P. 13) Some people think the government should provide fewer services, even in areas such as health and education in order to reduce spending. Suppose these people are at one end of the scale at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. L1a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923702 92PRE: L1b. B SPEND COLUMNS 692 - 692 NUMERIC L1b. Where would you place George Bush on this scale? ----------------------------------------------------------- 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L1 ============================== VAR M923703 92PRE: L1c. C SPEND COLUMNS 693 - 693 NUMERIC L1c. (Where would you place) Bill Clinton (on this scale)? ----------------------------------------------------------- 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L1 ============================== VAR M923704 92PRE: L1d. REP SPEND COLUMNS 694 - 694 NUMERIC L1d/L1ad. The Republican Party ---------------------------------------------------- 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 9 in L1 ============================== VAR M923705 92PRE: L1e. DEM SPEND COLUMNS 695 - 695 NUMERIC L1e/L1ae. The Democratic Party ---------------------------------------------------- 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 9 in L1 ============================== VAR M923706 92PRE: L1f. FED SPEND COLUMNS 696 - 696 NUMERIC L1f. What the federal government is doing now? ------------------------------------------------------------ 1. GOV'T PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOV'T PROVIDE MANY MORE SERVICES INCREASE SPENDING A LOT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L1 ============================== VAR M923707 92PRE: L2a. DEFENS 7P COLUMNS 697 - 697 NUMERIC L2. (RB, P. 14) Some people believe that we should spend much less money for defense. Others feel that defense spending should be greatly increased. L2a. Where would you place yourself on this scale, or haven't you thought much about this? --------------------------------------------------------- 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923708 92PRE: L2b. BUSH DEF COLUMNS 698 - 698 NUMERIC L2b. Where would you place George Bush on this scale? -------------------------------------------------------- 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L21 ============================== VAR M923709 92PRE: L2c. CLINTON DEF COLUMNS 699 - 699 NUMERIC L2c. (Where would you place) Bill Clinton (on this scale)? ------------------------------------------------------------ 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L2 ============================== VAR M923710 92PRE: L2d. REP DEF COLUMNS 700 - 700 NUMERIC L2d/L2ad. The Repubican Party? ----------------------------------------------------------- 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 9 in L2 ============================== VAR M923711 92PRE: L2e. DEM DEF COLUMNS 701 - 701 NUMERIC L2e/L2ae. The Democratic Party? ------------------------------------------------------------ 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 9 in L2 ============================== VAR M923712 92PRE: L2f. FED DEF COLUMNS 702 - 702 NUMERIC L2f. What the federal government is doing now? --------------------------------------------------------- 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L2 ============================== VAR M923713 92PRE: L3. COLUMNS 703 - 703 NUMERIC L3. Now, thinking about health care. Can you (and your family) afford to pay for the health care that you need? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923714 92PRE: L3a. COLUMNS 704 - 704 NUMERIC L3a. Do you presently have any kind of health insurance? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923715 92PRE: L4. COLUMNS 705 - 705 NUMERIC L4. Are you satisfied or dissatisfied with the quality of the health care available to you and your family? ---------------------------------------------------------- 1. SATISFIED 5. DISSATISFIED 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923716 92PRE: L5a. HEALTH 7P COLUMNS 706 - 706 NUMERIC L5. (RB, P. 15) There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. Others feel that all medical expenses should be paid by individuals, and through private insurance plans like Blue Cross or other company paid plans. L5a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923717 92PRE: L6. COLUMNS 707 - 707 NUMERIC L6. Do you think the government should require companies to allow up to six months unpaid leave for parents to spend time with their newborn or newly adopted children, or is this something that should be left up to the individual employer? ------------------------------------------------------------ 1. GOVERNMENT SHOULD REQUIRE 2. LEFT TO INDIVIDUAL EMPLOYER 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923718 92PRE: L7a. JOB/LIV 7P COLUMNS 708 - 708 NUMERIC L7. (RB, P. 16) Some people feel the government in Washington should see to it that every person has a job and a good standard of living. Others think the government should just let each person get ahead on their own. L7a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 1. GOVERNMENT SEE TO JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923719 92PRE: L7b. BUSH JOB COLUMNS 709 - 709 NUMERIC L7b/L7ab. Where would you place George Bush on this scale? --------------------------------------------------------- 1. GOVERNMENT SEE TO JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 9 in L7 ============================== VAR M923720 92PRE: L7c. CLINTON JOB COLUMNS 710 - 710 NUMERIC L7c/L7ac. (Where would you place) Bill Clinton (on this scale)? -------------------------------------------------------- 1. GOVERNMENT SEE TO JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 9 in L7 ============================== VAR M923721 92PRE: L7d. REP JOB COLUMNS 711 - 711 NUMERIC L7d. The Republican party? ----------------------------------------------------------- 1. GOVERNMENT SEE TO JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L7 ============================== VAR M923722 92PRE: L7e. DEM JOB COLUMNS 712 - 712 NUMERIC L7e. The Democratic party? ----------------------------------------------------------- 1. GOVERNMENT SEE TO JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L7 ============================== VAR M923723 92PRE: L7f. FED JOB COLUMNS 713 - 713 NUMERIC L7f. What the federal government is doing now? ------------------------------------------------------ 1. GOVERNMENT SEE TO JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 0, 8-9 in L7 ============================== VAR M923724 92PRE: L8a. HELP BLK 7P COLUMNS 714 - 714 NUMERIC L8. (RB, P. 17) Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. Others feel that the government should not make any special effort to help blacks because they should help themselves. L8a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. GOVERNMENT SHOULD HELP BLACKS 2. 3. 4. 5. 6. 7. BLACKS SHOULD HELP THEMSELVES 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923725 92PRE: L9a. COLUMNS 715 - 715 NUMERIC L9. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending increased and for which would you like to see spending decreased? L9a. Should federal spending on Food stamps be increased, decreased, or kept about the same? ----------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923726 92PRE: L9b. COLUMNS 716 - 716 NUMERIC L9b. (Should federal spending on) Welfare programs (be increased, decreased, or kept about the same?) ------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923727 92PRE: L9c. COLUMNS 717 - 717 NUMERIC L9c. AIDS research? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923728 92PRE: L9d. COLUMNS 718 - 718 NUMERIC L9d. Financial aid for college students? --------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923729 92PRE: L9e. COLUMNS 719 - 719 NUMERIC L9e. Programs that assist Blacks? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923730 92PRE: L9f. COLUMNS 720 - 720 NUMERIC L9f. Solving the problem of the homeless? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923731 92PRE: L9g. COLUMNS 721 - 721 NUMERIC L9g. Aid to countries of the former Soviet Union? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923732 92PRE: L10. OP ABORTN COLUMNS 722 - 722 NUMERIC L10. (RB, P.18) There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. ----------------------------------------------------------- 1. BY LAW, ABORTION SHOULD NEVER BE PERMITTED 2. THE LAW SHOULD PERMIT ABORTION ONLY IN CASE OF RAPE, INCEST OR WHEN THE WOMAN'S LIFE IS IN DANGER 3. THE LAW SHOULD PERMIT ABORTION FOR REASONS OTHER THAN RAPE, INCEST, OR DANGER TO THE WOMAN'S LIFE, BUT ONLY AFTER THE NEED FOR THE ABORTION HAS BEEN CLEARLY ESTABLISHED 4. BY LAW, A WOMAN SHOULD ALWAYS BE ABLE TO OBTAIN AN ABORTION AS A MATTER OF PERSONAL CHOICE 6. R rejects concept that abortion should be regulated at all by law; "law has nothing to do with it" (volunteered) 7. OTHER, SPECIFY 8. DK 9. NA ============================== VAR M923733 92PRE: L10a. COLUMNS 723 - 723 NUMERIC L10a. (RB, STILL ON P. 18) What do you think is George Bush's position ? ------------------------------------------------------- 1. BY LAW, ABORTION SHOULD NEVER BE PERMITTED 2. THE LAW SHOULD PERMIT ABORTION ONLY IN CASE OF RAPE, INCEST OR WHEN THE WOMAN'S LIFE IS IN DANGER 3. THE LAW SHOULD PERMIT ABORTION FOR REASONS OTHER THAN RAPE, INCEST, OR DANGER TO THE WOMAN'S LIFE, BUT ONLY AFTER THE NEED FOR THE ABORTION HAS BEEN CLEARLY ESTABLISHED 4. BY LAW, A WOMAN SHOULD ALWAYS BE ABLE TO OBTAIN AN ABORTION AS A MATTER OF PERSONAL CHOICE 6. R rejects concept that abortion should be regulated at all by law; "law has nothing to do with it" (volunteered) 7. OTHER, SPECIFY 8. DK 9. NA ============================== VAR M923734 92PRE: L10b. COLUMNS 724 - 724 NUMERIC L10b. (RB, STILL ON P. 18) What do you think is Bill Clinton's position ? ----------------------------------------------------- 1. BY LAW, ABORTION SHOULD NEVER BE PERMITTED 2. THE LAW SHOULD PERMIT ABORTION ONLY IN CASE OF RAPE, INCEST OR WHEN THE WOMAN'S LIFE IS IN DANGER 3. THE LAW SHOULD PERMIT ABORTION FOR REASONS OTHER THAN RAPE, INCEST, OR DANGER TO THE WOMAN'S LIFE, BUT ONLY AFTER THE NEED FOR THE ABORTION HAS BEEN CLEARLY ESTABLISHED 4. BY LAW, A WOMAN SHOULD ALWAYS BE ABLE TO OBTAIN AN ABORTION AS A MATTER OF PERSONAL CHOICE 6. R rejects concept that abortion should be regulated at all by law; "law has nothing to do with it" (volunteered) 7. OTHER, SPECIFY 8. DK 9. NA ============================== VAR M923735 92PRE: L11. COLUMNS 725 - 725 NUMERIC L11. Would you favor or oppose a law in your state that would require parental consent before a teenager under 18 can have an abortion? --------------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DK 9. NA ============================== VAR M923736 92PRE: L11a/b. COLUMNS 726 - 726 NUMERIC L11a. Do you favor this law strongly or not strongly? L11b. Do you oppose this law strongly or not strongly? ------------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in L11 ============================== VAR M923737 92PRE: L12. COLUMNS 727 - 727 NUMERIC L12. Would you favor or oppose a law in your state that would allow the use of government funds to help pay for the costs of abortion for women who cannot afford them? ----------------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DK 9. NA ============================== VAR M923738 92PRE: L12a/b. COLUMNS 728 - 728 NUMERIC L12a. Do you favor government funding for abortions strongly or not strongly? L12b. Do you oppose government funding for abortions strongly or not strongly? ----------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in L12 ============================== VAR M923739 92PRE: L13. COLUMNS 729 - 729 NUMERIC L13. Would you favor or oppose a law in your state that would require a married woman to notify her husband before she can have an abortion? ---------------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DK 9. NA ============================== VAR M923740 92PRE: L13a/b. COLUMNS 730 - 730 NUMERIC L13a. Do you favor this law strongly or not strongly? L13b. Do you oppose this law strongly or not strongly? ------------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in L13 ============================== VAR M923741 92PRE: L14. HARRASS SER COLUMNS 731 - 731 NUMERIC L14. Recently there has been a lot of discussion about sexual harassment. How serious a problem do you think sexual harassment in the work place is? Is it very serious, somewhat serious or not too serious? ------------------------------------------------------------ 1. VERY SERIOUS 2. SOMEWHAT SERIOUS 3. NOT TOO SERIOUS 8. DK 9. NA ============================== VAR M923742 92PRE: L15. COLUMNS 732 - 732 NUMERIC L15. Have you or has anyone you know been subjected to sexual harassment in the workplace? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923743 92PRE: L16. COLUMNS 733 - 733 NUMERIC L16. Do you think that enough is being done to protect women from being sexually harassed in the workplace, is too much being done or too little being done? ----------------------------------------------------------- 1. TOO MUCH 2. ENOUGH 3. TOO LITTLE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923744 92PRE: L17. COLUMNS 734 - 734 NUMERIC L17. If a woman says that she has been sexually harassed at work and the man denies it, would you be more inclined to believe the woman or the man? ------------------------------------------------------------ 1. WOMAN 2. MAN 3. IT DEPENDS (VOL) 8. DK 9. NA ============================== VAR M923745 92PRE: L18. COLUMNS 735 - 735 NUMERIC L18. Do you think government should provide child care assistance to low and middle income working parents, or isn't it the government's responsibility? ------------------------------------------------------- 1. GOVERNMENT SHOULD PROVIDE 5. NOT GOVERNMENT RESPONSIBILITY 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923746 92PRE: L19a. UNREST 7P COLUMNS 736 - 736 NUMERIC L19. (RB, P. 19) There is much discussion about the best way to deal with the problem of urban unrest and rioting. Some say it is more important to use all available force to maintain law and order -- no matter what results. Others say it is more important to correct the problems of poverty and unemployment that give rise to the disturbances. And, of course, other people have opinions in between. L19a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ NOTE: Due to a design error, abbreviated telephone (short form) and Spanish language questionnaires were produced with the L19a scale printed reversed in the text. Because interviewers handled this problem in different ways, it was impossible to determine which scale position a number given by Rs response corresponds. Therefore, all cases of short form or Spanish questionnaires (3,4,6,7 in V3011) have been coded 9 (NA) in L19a. 1. SOLVE PROBLEMS OF POVERTY AND UNEMPLOYMENT 2. 3. 4. 5. 6. 7. USE ALL AVAILABLE FORCE 8. DK 9. NA; Inap, 3-4, 6-7 in V3011 0. HAVEN'T THOUGHT MUCH ============================== VAR M923747 92PRE: L20. TERM LIMIT COLUMNS 737 - 737 NUMERIC L20. A law has been proposed that would limit members of Congress to no more than 12 years of service in that office. Do you favor or oppose such a law? ------------------------------------------------------------ 1. FAVOR 5. OPPOSE 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923748 92PRE: L21. SAV/LOANS COLUMNS 738 - 738 NUMERIC L21. Have you heard or read anything about the problems in the savings and loan business? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923749 92PRE: L21A. S&L 2DIG COLUMNS 739 - 740 NUMERIC L21a. Who do you think is more to blame for the problems of the savings and loans business--former president Reagan, President Bush, the Congress, or the owners and managers of the savings and loans? ------------------------------------------------------------ 01. REAGAN 02. BUSH 03. CONGRESS 04. OWNERS & MANAGERS 11. REAGAN AND BUSH (VOL) 12. REAGAN AND CONGRESS (VOL) 13. REAGAN AND OWNERS/MANAGERS (VOL) 14. BUSH AND CONGRESS (VOL) 15. BUSH AND OWNERS/MANAGERS (VOL) 16. CONGRESS AND OWNERS/MANAGERS (VOL) 21. REAGAN, BUSH AND CONGRESS (VOL) 22. REAGAN, BUSH AND OWNERS/MANAGERS (VOL) 23. REAGAN, CONGRESS AND OWNERS/MANAGERS (VOL) 24. BUSH, CONGRESS AND OWNERS/MANAGERS (VOL) 30. ALL OF THEM (VOL) 70. OTHER 80. NONE OF THEM (VOL) 98. DK 99. NA 00. Inap, 3-4, 6-7 in V3011; 5, 8-9 in L21 There are no variables in range 3750-3800 ============================== VAR M923801 92PRE: M1a. WOMAN EQ ROL COLUMNS 741 - 741 NUMERIC M1. (RB, P. 20) Recently there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. Others feel that women's place is in the home. M1a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. WOMEN AND MEN SHOULD HAVE AN EQUAL ROLE 2. 3. 4. 5. 6. 7. WOMEN'S PLACE IS IN THE HOME 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923802 92PRE: M2. COLUMNS 742 - 742 NUMERIC M2. Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you favor or oppose placing new limits on imports, or haven't you thought much about this? ------------------------------------------------------------ 1. FAVOR NEW LIMITS 5. OPPOSE NEW LIMITS 8. DK 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M923803 92PRE: M3. COLUMNS 743 - 743 NUMERIC M3. Which of the following statements comes closer to your opinion--one, Japanese companies are competing unfairly with American companies; OR two, the United States is blaming Japan for its own economic problems. ------------------------------------------------------------ 1. COMPETING UNFAIRLY 2. U.S. BLAMING JAPAN FOR OWN PROBLEMS 3. BOTH/DEPENDS (VOL.) 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923804 92PRE: M4. WILL VOTE? COLUMNS 744 - 744 NUMERIC M4. So far as you know now, do you expect to vote in the national elections this coming November or not? --------------------------------------------------------- 1. YES, WILL VOTE 5. NO, WILL NOT VOTE 8. DK 9. NA ============================== VAR M923805 92PRE: M4a. VOTE WHO? COLUMNS 745 - 745 NUMERIC M4a. Who do you think you will vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you will vote for in the election for President?) ------------------------------------------------------------ 1. GEORGE BUSH 2. BILL CLINTON 5. ROSS PEROT (VOL) 7. OTHER, SPECIFY 8. DK 9. NA 0. Inap, 5, 8-9 in M4 ============================== VAR M923806 92PRE: M4b. PREF STRONG COLUMNS 746 - 746 NUMERIC M4b. Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- 1. STRONG 5. NOT STRONG 8. DK 9. NA 0. Inap, 5, 8-9 in M4; 8-9 in M4a ============================== VAR M923807 92PRE: M4c. COLUMNS 747 - 747 NUMERIC M4c. If you were going to vote, who do you think you would vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you would vote for in the election for President?) ------------------------------------------------------------ 1. GEORGE BUSH 2. BILL CLINTON 5. ROSS PEROT (VOL) 7. OTHER, SPECIFY 8. DK 9. NA 0. Inap, 1, 9 in M4 ============================== VAR M923808 92PRE: M4d. COLUMNS 748 - 748 NUMERIC M4d. Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- 1. STRONG 5. NOT STRONG 8. DK 9. NA 0. Inap, 1, 9 in M4; 8-9 in M4c ============================== VAR M923809 92PRE: M5. COLUMNS 749 - 749 NUMERIC M5. INTERVIEWER CHECKPOINT --------------------------- 1. BOX 5 IS MARKED (R VOLUNTEERED ROSS PEROT) 2. ALL OTHERS ============================== VAR M923810 92PRE: M6. COLUMNS 750 - 750 NUMERIC M6. Was Ross Perot ever your first choice for president? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 1 in M5 ============================== VAR M923811 92PRE: N1a. COLUMNS 751 - 751 NUMERIC N1. Here are some more questions about federal spending. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending increased and for which would you like to see spending decreased... N1a. Should federal spending on social security be increased, decreased, or kept about the same? ----------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923812 92PRE: N2b. COLUMNS 752 - 752 NUMERIC N2b. (Should federal spending on) science and technology (be increased, decreased, or kept about the same?) --------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923813 92PRE: N2c. COLUMNS 753 - 753 NUMERIC N2c. Child Care? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923814 92PRE: N2d. COLUMNS 754 - 754 NUMERIC N2d. Dealing with Crime? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923815 92PRE: N2e. COLUMNS 755 - 755 NUMERIC N2e. Improving and protecting the environment? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923816 92PRE: N2f. COLUMNS 756 - 756 NUMERIC N2f. Government assistance to the unemployed? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923817 92PRE: N2g. COLUMNS 757 - 757 NUMERIC N2g. Poor people? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923818 92PRE: N2h. COLUMNS 758 - 758 NUMERIC N2h. Public schools? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923819 92PRE: N2j. COLUMNS 759 - 759 NUMERIC N2j. Aid to big cities? ---------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 7. CUT OUT ENTIRELY (VOL) 8. DK 9. NA ============================== VAR M923820 92PRE: Q1. RELIG IMP COLUMNS 760 - 760 NUMERIC Q1. Do you consider religion to be an important part of your life, or not? -------------------------------------------------------- 1. YES, IMPORTANT 5. NO, NOT IMPORTANT 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923821 92PRE: Q2. COLUMNS 761 - 761 NUMERIC Q2. Would you say your religion provides some guidance in your day-to-day living, quite a bit of guidance, or a great deal of guidance in your day-to-day life? ----------------------------------------------------------- 1. SOME 2. QUITE A BIT 3. A GREAT DEAL 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in Q1 ============================== VAR M923822 92PRE: Q3. COLUMNS 762 - 762 NUMERIC Q3. (RB, P.21) People practice their religion in different ways. Outside of attending religious services, do you pray several times a day, once a day, a few times a week, once a week or less or never? ----------------------------------------------------------- 1. SEVERAL TIMES A DAY 2. ONCE A DAY 3. FEW TIMES A WEEK 4. ONCE A WEEK OR LESS 5. NEVER 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923823 92PRE: Q4. COLUMNS 763 - 763 NUMERIC Q4. (RB, STILL ON P.21) Outside of attending religious services, do you read the Bible several times a day, once a day, a few times a week, once a week or less or never? ----------------------------------------------------------- 1. SEVERAL TIMES A DAY 2. ONCE A DAY 3. FEW TIMES A WEEK 4. ONCE A WEEK OR LESS 5. NEVER 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923824 92PRE: Q5. BIBLE COLUMNS 764 - 764 NUMERIC Q5. (RB, P.22) Which of these statements comes closest to describing your feelings about the Bible? You can just tell me the number of the statement you choose. ------------------------------------------------------------ 1. ONE, THE BIBLE IS THE ACTUAL WORD OF GOD AND IS TO BE TAKEN LITERALLY, WORD FOR WORD, OR 2. TWO, THE BIBLE IS THE WORD OF GOD BUT NOT EVERYTHING IN IT SHOULD BE TAKEN LITERALLY, WORD FOR WORD, OR 3. THREE, THE BIBLE IS A BOOK WRITTEN BY MEN AND IS NOT THE WORD OF GOD. 7. OTHER, SPECIFY 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M923825 92PRE: Q6. COLUMNS 765 - 765 NUMERIC Q6. (RB, P.23) How often during the past week did you watch religious programs on TV? ------------------------------------------------------------ 1. DAILY 2. SEVERAL DAYS 3. ONCE OR TWICE 4. NEVER 8. DK 9. NA 0. Inap, 6-7 in V3011 ============================== VAR M923826 92PRE: X1. ATTEND SERV COLUMNS 766 - 766 NUMERIC X1. Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? ------------------------------------------------------------ This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. 1. YES 5. NO 8. DK 9. NA 0. Inap, 4 in V3011 ============================== VAR M923827 92PRE: X1a. COLUMNS 767 - 767 NUMERIC X1a. Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? -------------------------------------------------------- This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. 1. YES 5. NO 8. DK 9. NA 0. Inap, 4 in V3011; 1, 8-9 in X1 ============================== VAR M923828 92PRE: X2. COLUMNS 768 - 768 NUMERIC X2. Do you go to religious services every week, almost every week, once or twice a month, a few times a year, or never? --------------------------------------------------------- This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. 1. EVERY WEEK 2. ALMOST EVERY WEEK 3. ONCE OR TWICE A MONTH 4. A FEW TIMES A YEAR 5. NEVER 8. DK 9. NA 0. Inap, 4 in V3011; 5, 8-9 in X1 ============================== VAR M923829 92PRE: X2a. COLUMNS 769 - 769 NUMERIC X2a. Would you say you go to religious services once a week or more often than once a week? ------------------------------------------------------------ This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. 1. MORE OFTEN 2. JUST ONCE A WEEK 8. DK 9. NA 0. Inap, 4 in V3011; 5, 8-9 in X1; 2-5, 8-9 in X2 ============================== VAR M923830 92PRE: X3a/b. COLUMNS 770 - 770 NUMERIC [X3 IS NOT CODED] Responses to individual questions X3a,b; X4, X4a-k and X5 are summarized in VARIABLE 3850 X4z, R's RELIGION AFFILIATION SUMMARY. Users who wish to understand the inner working of this section are strongly encouraged to examine the questionnaire in the appendix of this codebook as well. X3a. Do you mostly attend a place of worship that is Protestant, Roman Catholic, Jewish, or what? X3b. Do you consider yourself Protestant, Roman Catholic, Jewish, or what? ------------------------------------------------------------ 1. PROTESTANT 2. CATHOLIC 3. JEWISH 4. ANY OTHER 8. R refused to answer (see Supervisor before using) 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a ============================== VAR M923831 92PRE: X4. COLUMNS 771 - 772 NUMERIC X4. (What church or denomination is that?) ------------------------------------------- 01. BAPTIST 02. EPISCOPALIAN/ANGLICAN/CHURCH OF ENGLAND 03. LUTHERAN 04. METHODIST 05. "JUST PROTESTANT" 06. PRESBYTERIAN 07. REFORMED 08. BRETHREN 09. EVANGELICAL UNITED BRETHREN 10. CHRISTIAN OR JUST CHRISTIAN 11. CHRISTIAN SCIENTIST 12. CHURCH (or CHURCHES) OF CHRIST 13. UNITED CHURCH OF CHRIST 14. DISCIPLES OF CHRIST 15. CHURCH OF GOD 16. ASSEMBLY OF GOD 17. CONGREGATIONALIST 18. HOLINESS (SPECIFY) 19. PENTECOSTAL (SPECIFY) 20. FRIENDS, QUAKER 21. ORTHODOX, e.g. Greek, Russian (SPECIFY) 22. NON-DENOMINATIONAL--PROTESTANT 23. MORMONS 24. JEHOVAH'S WITNESSES 25. LATTER DAY SAINTS 26. UNITARIAN/UNIVERSALIST 27. BUDDHIST 28. HINDU 29. MUSLIM/ISLAM 30. NATIVE AMERICAN 31. OTHER (SPECIFY) 98. DK 99. NA 00. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b ============================== VAR M923832 92PRE: X4a. COLUMNS 773 - 773 NUMERIC X4a. (BAPTIST) With which Baptist group is your church associated? Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, the National Baptist Convention USA, an independent Baptist church or some other Baptist group? ------------------------------------------------------------ 1. SOUTHERN 2. AMERICAN BAPTIST U.S.A. 3. AMERICAN BAPTIST ASSOCIATION 4. INDEPENDENT BAPTIST 5. NATIONAL BAPTIST CONVENTION USA 7. OTHER (SPECIFY) 8. DK; "JUST BAPTIST" 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 02-31, 98-99 in X4 ============================== VAR M923833 92PRE: X4b. COLUMNS 774 - 774 NUMERIC X4b. Are you affiliated with any larger Baptist group or is this strictly a local church? ------------------------------------------------------------ 1. LOCAL 7. AFFILIATED WITH LARGER GROUP: (SPECIFY) 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 02-31, 98-99 in X4; 1-3, 5-9 in X4a ============================== VAR M923834 92PRE: X4c. COLUMNS 775 - 775 NUMERIC X4c. (LUTHERAN) Is this church part of the Evangelical Lutheran Church in America, the Missouri Synod, or some other Lutheran group? ------------------------------------------------------- 1. EVANGELICAL LUTHERAN CHURCH IN AMERICA (formerly Lutheran Church in America, American Lutheran Church) 2. MISSOURI SYNOD 7. OTHER (Specify) 8. DK; "JUST LUTHERAN" 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-02, 04-31, 98-99 in X4 ============================== VAR M923835 92PRE: X4d. COLUMNS 776 - 776 NUMERIC X4d. (METHODIST) Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? ------------------------------------------------------------ 1. UNITED METHODIST 2. AFRICAN METHODIST EPISCOPAL (AME) 7. OTHER (Specify) 8. DK; "JUST METHODIST" 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-03, 05-31, 98-99 in X4 ============================== VAR M923836 92PRE: X4e. COLUMNS 777 - 777 NUMERIC X4e. (PRESBYTERIAN) Is this the Presbyterian Church in the USA or some other Presbyterian group? ----------------------------------------------------------- 1. PRESBYTERIAN CHURCH IN THE U.S.A. (FORMERLY UNITED PRESBYTERIAN CHURCH) 7. OTHER (Specify) 8. DK; "JUST PRESBYTERIAN" 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-05, 07-31, 98-99 in X4 ============================== VAR M923837 92PRE: X4f. COLUMNS 778 - 778 NUMERIC X4f. (REFORMED) Is this the Christian Reformed Church, the Reformed Church in America, or some other Reformed group? ----------------------------------------------------------- 1. CHRISTIAN REFORMED 2. REFORMED CHURCH IN AMERICA 7. OTHER (Specify) 8. DK; "JUST REFORMED" 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-06, 08-31, 98-99 in X4 ============================== VAR M923838 92PRE: X4g. COLUMNS 779 - 779 NUMERIC X4g. (BRETHREN) Is this the Church of the Brethren, the Plymouth Brethren, or what? -------------------------------------------------------- 1. CHURCH OF THE BRETHREN 2. PLYMOUTH BRETHREN 7. OTHER (Specify) 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-07, 09-31, 98-99 in X4 ============================== VAR M923839 92PRE: X4h. COLUMNS 780 - 780 NUMERIC X4h. ('CHRISTIAN' OR 'JUST CHRISTIAN') When you say "Christian" does that mean the denomination called the "Christian Church (Disciples of Christ)", or some other Christian denomination, or do you mean to say "I am just a Christian"? ---------------------------------------------------------- 1. DISCIPLES OF CHRIST 2. JUST CHRISTIAN 7. OTHER, CHRISTIAN (Specify) 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-09, 11-31, 98-99 in X4 ============================== VAR M923840 92PRE: X4i. COLUMNS 781 - 781 NUMERIC X4i. (CHURCH OR CHURCHES OF CHRIST) Is this the Church of Christ or the United Church of Christ? ---------------------------------------------------------- 1. CHURCH OF CHRIST 2. UNITED CHURCH OF CHRIST 7. OTHER (Specify) 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-11, 13-31, 98-99 in X4 ============================== VAR M923841 92PRE: X4j. COLUMNS 782 - 782 NUMERIC X4j. (CHURCH OF GOD) Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? ------------------------------------------------------------ 1. ANDERSON, IN 2. CLEVELAND, TN 3. IN CHRIST 7. OTHER (Specify) 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-14, 16-31, 98-99 in X4 ============================== VAR M923842 PRE 92: X4K/X5.DUMMY COLUMNS 783 - 783 NUMERIC NOTE: X4k and X5 are now padded with zeros. The open-ended responses, have been hand-coded into X4z - R's Religious Affiliation SUMMARY, but the actual responses were deleted. X4k. (Holiness, Pentecostal: Specify:) What kind of church is that? What is it called exactly? Is that part of a larger church or denomination? What is that church called? (THESE QUESTIONS ARE PROBES. USE THESE AND OTHERS TO GET AS MUCH SPECIFIC INFORMATION AS POSSIBLE) ------------------------------------------------------------ ============================== VAR M923843 PRE 92: X4K/X5.DUMMY COLUMNS 784 - 784 NUMERIC X5. (OTHER: SPECIFY:) What is it called exactly? Is that church part of a denomination? (USE ANY OR ALL AS NECESSARY, GET AS MUCH DETAIL AS POSSIBLE) ----------------------------------------------------------- ============================== VAR M923844 92PRE: X5a. COLUMNS 785 - 785 NUMERIC X5a. (OTHER:) Is that group Christian? --------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 2-3, 9 in X3a/b; 01-30, 98-99 in X4 ============================== VAR M923845 92PRE: X6a/b. COLUMNS 786 - 786 NUMERIC X6a. (JEWISH:) Do you usually attend a synagogue or temple that is Orthodox, Conservative, Reform or what? X6b. Do you consider yourself Orthodox, Conservative, Reform, or what? ----------------------------------------------------------- 1. ORTHODOX 2. REFORM 3. CONSERVATIVE 7. OTHER (Specify) 8. DK 9. NA 0. Inap, 3-4 in V3011; 8-9 in X1; 5, 8-9 in X1a; 1-2, 4, 9 in X3a/b ============================== VAR M923846 92PRE: X7. COLUMNS 787 - 787 NUMERIC X7. (ASK OF PROTESTANTS, CATHOLICS OR OTHER CHRISTIANS EXCEPT ORTHODOX:) (RB, P.24) Which one of these words best describes your kind of Christianity, fundamentalist, evangelical, charismatic or spirit filled, moderate to liberal? ---------------------------------------------------------- 1. FUNDAMENTALIST 2. EVANGELICAL 3. CHARISMATIC/SPIRIT FILLED 4. MODERATE TO LIBERAL 5. SOMETHING ELSE (VOLUNTEERED) 8. DK 9. NA 0. Inap, 3-4 in V3011; 5, 8-9 in X1a; 3, 9 in X3a/b; 11, 21, 27-30, 98-99 in X4; 5, 8-9 in X5a ============================== VAR M923847 92PRE: X8. COLUMNS 788 - 788 NUMERIC X8. (ASK OF ALL PROTESTANTS, CATHOLICS OR OTHER CHRISTIANS:) Would you call yourself a born-again Christian, that is, have you personally had a conversion experience related to Jesus Christ? -------------------------------------------------------- NOTE: 1990 data for the panel short form cases (3 in V3011) have been added to this variable. 1. YES 5. NO 8. DK 9. NA 0. Inap, 4 in V3011; 5, 8-9 in X1a; 3, 9 in X3a/b; 11, 27-30, 98-99 in X4; 5, 8-9 in X5a ============================== VAR M923848 92PRE: X9. COLUMNS 789 - 789 NUMERIC X9. Are you officially a member of a parish, congregation, temple, or other place of worship? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in X1a; 9 in X3a/b; 11, 27-30, 98-99 in X4; 5, 8-9 in X5a ============================== VAR M923849 92PRE: X10. COLUMNS 790 - 790 NUMERIC X10. Do you participate in a religious organization, society or group outside of (your/a) (parish/congregation/temple/ place of worship)? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4, 6-7 in V3011; 5, 8-9 in X1a; 9 in X3a/b; 11, 27-30, 98-99 in X4; 5, 8-9 in X5a ============================== VAR M923850 92PRE: X4z. R RELIGION COLUMNS 791 - 793 NUMERIC X4z. R's Religious Affiliation SUMMARY --------------------------------------- This set of religion codes, which was first used in the NES time series in 1990, was developed by a group of scholars headed by David Leege of the University of Notre Dame and is still in the process of refinement. A few changes have been made since the 1990 version: codes 127 and 133 have been combined into code 127 [no 1992 code 133]; code 102 has been moved to become code 306 [no 1992 code 102]; and codes 267 and 261 have been added [new]. Those interested in comparing 1992 codes to the set of codes in use through 1988, please see Addendum B Users who wish to understand the inner working of the religion section and summary are strongly encouraged to examine the questionnaire in the appendix of this codebook as well. Variable 3850 (X4z) contains the information gathered in question X3a,b; X4; X4a-k; X5; X5a and X6a,b. Information collected in open-ended responses (7 in X4a, X4b, X4c, X4d, X4e, X4f, X4g, X4h, X4i, X4j; open-ended responses for codes 18, 19, 21, 31 in X4) have been hand-coded into this summary variable. 1990 data for panel short form cases (3 in V3011) have been added to this variable (Although 1990 data were not added to the individual variables from which the summary was built). R's with NO RELIGIOUS PREFERENCE OR IDENTIFICATION have in all past years been included in missing data. To maintain consistency with past practice, such cases appear in missing data code 0 in this variable, but some users may wish to include these cases as valid data. GENERAL PROTESTANT 010. Protestant, no denomination given 020. Non-denominational Protestant 030. Community church 040. Inter-denominational Protestant 099. Christian (NFS); "just Christian" ADVENTIST 100. 7th Day Adventist 109. Adventist (NFS) ANGLICAN 110. Episcopalian; Anglican BAPTIST 120. American Baptist Association 121. American Baptist Churches U.S.A. (inaccurately known as "Northern Baptist") 122. Baptist Bible Fellowship 123. Baptist General Conference 124. Baptist Missionary Association of America 125. Conservative Baptist Association of America 126. General Association of Regular Baptist Churches (G.A.R.B.) 127. National Association of Free Will Baptists (United Free Will Baptist Church) 128. Primitive Baptists 129. National Baptist Convention in the U.S.A. 130. National Baptist Convention of America 131. National Primitive Baptist Convention of the U.S.A. 132. Progressive National Baptist Convention 134. Reformed Baptist (Calvinist) 135. Southern Baptist Convention 147. Fundamental Baptist (no denom. ties) 148. Local (independent) Baptist churches with no denominational ties or links to a national fellowship 149. Baptist (NFS) CONGREGATIONAL 150. United Church of Christ (includes Congregational, Evangelical and Reformed) 151. Congregational Christian EUROPEAN FREE CHURCH (ANABAPTISTS) 160. Church of the Brethren 161. Brethren (NFS) 162. Mennonite Church 163. Moravian Church 164. Old Order Amish 165. Quakers (Friends) 166. Evangelical Covenant Church (not Anabaptist in tradition) 167. Evangelical Free Church (not Anabaptist in tradition) 168. Brethren in Christ 170. Mennonite Brethren HOLINESS 180. Christian and Missionary Alliance (CMA) 181. Church of God (Anderson, IN) 182. Church of the Nazarene 183. Free Methodist Church 184. Salvation Army 185. Wesleyan Church 199. Holiness (NFS); Church of God (NFS); R not or NA whether R Pentecostal or Charismatic INDEPENDENT-FUNDAMENTALIST 200. Plymouth Brethren 201. Independent Fundamentalist Churches of America 219. Independent-Fundamentalist (NFS) LUTHERAN 220. Evangelical Lutheran Church in America (formerly Lutheran Church in America and The American Lutheran Church); ELCA 221. Lutheran Church--Missouri Synod; LC-MS 222. Wisconsin Evangelical Lutheran Synod; WELS 223. Other Conservative Lutheran 229. Lutheran (NFS) METHODIST 230. United Methodist Church; Evangelical United Brethren 231. African Methodist Episcopal Church 232. African Methodist Episcopal Zion Church 233. Christian Methodist Episcopal Church 249. Methodist (NFS) PENTECOSTAL 250. Assemblies of God 251. Church of God (Cleveland, TN) 252. Church of God (Huntsville, AL) 253. International Church of the Four Square Gospel 254. Pentecostal Church of God 255. Pentecostal Holiness Church 256. United Pentecostal Church International 257. Church of God in Christ (incl. NA whether 258) 258. Church of God in Christ (International) 260. Church of God of the Apostolic Faith 261. Church of God in Prophecy 267. Apostolic Pentecostal 268. Spanish Pentecostal 269. Pentecostal (NFS); Church of God (NFS); R not or NA whether R Pentecostal or Charismatic PRESBYTERIAN 270. Presbyterian Church in the U.S.A. 271. Cumberland Presbyterian Church 272. Presbyterian Church in American (PCA) 275. Evangelical Presbyterian 279. Presbyterian (NFS) REFORMED 280. Christian Reformed Church (inaccurately known as "Dutch Reformed") 281. Reformed Church in America 282. Free Hungarian Reformed Church 289. Reformed (NFS) RESTORATIONIST 290. Christian Church (Disciples of Christ) 291. Christian Churches and Churches of Christ 292. Churches of Christ; "Church of Christ" (NFS) 293. Christian Congregation NON-TRADITIONAL PROTESTANTS 300. Christian Scientists 301. Mormons; Latter Day Saints 302. Spiritualists 303. Unitarian; Universalist 304. Jehovah's Witnesses 305. Unity; Unity Church; Christ Church Unity 306. Fundamentalist Adventist (Worldwide Church of God) 309. Non-traditional Protestant (NFS) ROMAN CATHOLIC 400. Roman Catholic JEWISH 500. Jewish, no preference 501. Orthodox 502. Conservative 503. Reformed EASTERN ORTHODOX (GREEK RITE CATHOLIC) 700. Greek Rite Catholic 701. Greek Orthodox 702. Russian Orthodox 703. Rumanian Orthodox 704. Serbian Orthodox 705. Syrian Orthodox 706. Armenian Orthodox 707. Georgian Orthodox 708. Ukranian Orthodox 719. Eastern Orthodox (NFS) NON-CHRISTIAN/NON-JEWISH 720. Muslim; Mohammedan; Islam 721. Buddhist 722. Hindu 723. Bahai 724. American Indian Religions (Native American Religions) 729. Other non-Christian/non-Jewish 790. Religious/ethical cults OTHER/NO RELIGION/MISSING DATA 800. Agnostics 801. Atheists 997. Other 998. DK; refused 999. NA (8-9 in X1; 8-9 in X1a; 9 in X3a/b, 4 in V3011) 000. None, no preference (R does not attend a place of worship AND does not think of self as part of a church or denomination: 5 in V3826 AND 5 in V3827) Code 995 which appeared in the CPS Early Release codebook has been removed because no cases appeared in 995 and because cases of no preference were coded 0. There are no variables in range 3851-3900 ============================== VAR M923901 92PRE: Y1. MONTH BIRTH COLUMNS 794 - 795 NUMERIC Y1a. What is the month, day and year of your birth?--MONTH ----------------------------------------------------------- 01. January 02. February 03. March 04. April 05. May 06. June 07. July 08. August 09. September 10. October 11. November 12. December 98. DK 99. NA; refused 00. Inap, 3-4 in V3011 ============================== VAR M923902 92PRE: Y1. YEAR BIRTH COLUMNS 796 - 799 NUMERIC Y1b. What is the month, day and year of your birth?--YEAR ---------------------------------------------------------- Actual YEAR (1890-1975) 1890. . . 1975. 9998. DK 9999. NA; refused 0000. Inap, 3-4 in V3011 ============================== VAR M923903 92PRE: Y1x. R AGE COLUMNS 800 - 801 NUMERIC Y1x. Recoded AGE ----------------- This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. This variable was built by subtracting the month and year of R's birth from month and year of interview. For short form cross section (4 in V3011) and those cases who refused to give us their date of birth, we either transferred here their age from the Household Listing in the Cover Sheet (cross-section), or we updated their age from 1990 (panel). 17. . . 90. 91. 91 years or older 00. NA; 4 in V3011 ============================== VAR M923904 92PRE: Y2. R MARITAL ST COLUMNS 802 - 802 NUMERIC Y2. Are you married now and living with your (husband/wife)-- or are you widowed, divorced, separated, or have you never married? ------------------------------------------------------------ NOTE: Y2 was not asked of panel respondents interviewed using the "short form" questionnaire, and their marital status from 1990 was copied here. For 22 cases the 1990 data were inconsistent with the Y21 CHECKPOINT in 1992, alerting us to possible changes in marital status. Each case was reviewed and Y2 was corrected using information from the cover sheet, the thumbnail sketch and other variables. Y2 then represents our best estimate of R's PRESENT MARITAL STATUS. If it is known that R is not currently married/partnered (1 in Y3c), but R refused to define specific status either as never married, divorced, separated or widowed, then code 8 has been used. If spouse is in nursing home or spouse works and lives in another city, or if R's family is in the process of moving and is temporarily split between two residences, code 1 is used. 1. MARRIED AND LIVING WITH SPOUSE (OR SPOUSE IN SERVICE) 2. NEVER MARRIED 3. DIVORCED 4. SEPARATED 5. WIDOWED 7. PARTNERS NOT MARRIED (VOL.) 8. R not married/partnered (1 in Y3c), R refused to say whether never married, divorced, separated or widowed 9. NA 0. Inap, 4 in V3011 ============================== VAR M923905 92PRE: Y3. COLUMNS 803 - 804 NUMERIC EDUCATION SEQUENCE FOR R: (Y3 - Y3x) Y3. What is the highest grade of school or year of college you have completed? ----------------------------------------------------------- 00. NONE, no grades completed 01. One year completed 02. Two years completed 03. Three years completed 04. Four years completed 05. Five years completed 06. Six years completed 07. Seven years completed 08. Eight years completed 09. Nine years completed 10. Ten years completed 11. Eleven years completed 12. Twelve years completed (or 1 in Y3a) 13. Thirteen years 14. Fourteen years 15. Fifteen years 16. Sixteen years; four years of college completed 17. Seventeen years; graduate study 96. Inap, 3-4 in V3011 98. DK 99. NA ============================== VAR M923906 92PRE: Y3a. COLUMNS 805 - 805 NUMERIC Y3a. (IF 12 YEARS OR LESS:) Did you get a high school diploma or pass a high school equivalency test? ------------------------------------------------------ Note: if R responded "yes," Y3 has been coded 12. 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 13-17, 98-99 in Y3 ============================== VAR M923907 92PRE: Y3b. COLUMNS 806 - 807 NUMERIC Y3b. (IF 13 YEARS OR MORE:) What is the highest degree that you have earned? ------------------------------------------------------------ 01. Bachelor's degree: BS, BA, AB, AB in TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS in CE, BS in CHE, BS in ED, BS in LS, JCB, LITB, SB, STB, BD 02. Master's degree: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS in LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 03. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 04. LLB, JD 05. MD, DDS, DVM, MVS, DSC, DO (Doctor of Osteopathy) 06. JDC, STD, THD 07. Associate Degree, AA 96. No degree earned 98. DK 99. NA 00. Inap, 3-4 in V3011; 00-12, 98-99 in Y3 ============================== VAR M923908 92PRE: Y3x. R EDUCAT COLUMNS 808 - 809 NUMERIC Y3x. SUMMARY: R's Education ---------------------------- Y3, and Y3a-b were not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from the equivalent 1990 Post-election varialbe [although the data for the component variable Y3, Y3a-b was not copied]. Built from Y3, Y3a-b 01. 8 grades or less (0-8 in Y3) 02. 9-11 grades, no further schooling (incl. 12 yrs. without diploma or equivalency) (9-12 in Y3 and 5 in Y3a) 03. High school diploma, or equivalency test (1 in Y3a) 04. More than 12 years of schooling, no higher degree (13-17 in Y3 and 96 in Y3b) 05. Junior or community college level degrees (AA degrees) (07 in Y3b) 06. BA level degrees; 17+ years, no advanced degree (01 in Y3b) 07. Advanced degree, including LLB (02-06 in Y3b) 98. DK (98 in Y3; 8 in Y3a; 98 in Y3b) 99. NA (99 in Y3; 9-12 in Y3 and 9 in Y3a; 13-17 in Y3 and 99 in Y3b) 00. Inap,4 in V3011 ============================== VAR M923909 92PRE: Y3c. COLUMNS 810 - 810 NUMERIC EDUCATION SEQUENCE FOR R's SPOUSE OR PARTNER (Y3c - Y3z) Y3c. INTERVIEWER CHECKPOINT ----------------------------------------------------------- 1. R IS MARRIED OR LIVING WITH PARTNER (BOX '1' OR "7" MARKED AT Y2) 2. ALL OTHERS 0. Inap, 3-4 in V3011 ============================== VAR M923910 92PRE: Y3d. COLUMNS 811 - 812 NUMERIC Y3d. What is the highest grade of school or year of college (your husband/your wife/your partner) has completed? ------------------------------------------------------------ 00. NONE, no grades completed 01. One year completed 02. Two years completed 03. Three years completed 04. Four years completed 05. Five years completed 06. Six years completed 07. Seven years completed 08. Eight years completed 09. Nine years completed 10. Ten years completed 11. Eleven years completed 12. Twelve years completed (or 1 in Y3e) 13. Thirteen years 14. Fourteen years 15. Fifteen years 16. Sixteen years; four years of college completed 17. Seventeen years; graduate study 96. Inap, 3-4 in V3011; 2 in Y3c 98. DK 99. NA ============================== VAR M923911 92PRE: Y3e. COLUMNS 813 - 813 NUMERIC Y3e. (IF 12 YRS OR LESS:) Did (he/she) get a high school diploma or pass a high school equivalency test? --------------------------------------------------------- NOTE: if R responded "yes," Y3d has been coded 12. 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y3c; 13-17, 98-99 in Y3d ============================== VAR M923912 92PRE: Y3f. COLUMNS 814 - 815 NUMERIC Y3f. (IF 13 YRS. OR MORE:) What is the highest degree that (he/she) has earned? ----------------------------------------------------------- 01. Bachelor's degree: BS, BA, AB, AB in TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS in CE, BS in CHE, BS in ED, BS in LS, JCB, LITB, SB, STB, BD 02. Master's degree: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS in LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 03. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 04. LLB, JD 05. MD, DDS, DVM, MVS, DSC, DO (Doctor of Osteopathy) 06. JDC, STD, THD 07. Associate Degree, AA 96. No degree earned 98. DK 99. NA 00. Inap, 3-4 in V3011; 2 in Y3c; 00-12, 98-99 in Y3d ============================== VAR M923913 92PRE: Y3z. SPOUSE EDUC COLUMNS 816 - 817 NUMERIC Y3z. SUMMARY: Spouse's Education --------------------------------- Question Y3, Y3e-f were not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from the equivalent 1990 Post-election variables. Although data for the component variables was not copied. Built from Y3d, Y3e-f. 01. 8 grades or less (0-8 in Y3d) 02. 9-11 grades, no further schooling (incl. 12 yrs. without diploma or equivalency) (9-12 in Y3d and 5 in Y3e) 03. High school diploma, or equivalency test (1 in Y3e) 04. More than 12 years of schooling, no higher degree (13-17 in Y3d and 96 in Y3f) 05. Junior or community college level degrees (AA degrees) (07 in Y3f) 06. BA level degrees; 17+ years, no advanced degree (01 in Y3f) 07. Advanced degree, including LLB (02-06 in Y3f) 98. DK (98 in Y3d; 8 in Y3e; 98 in Y3f) 99. NA (99 in Y3d; 9-12 in Y3d and 9 in Y3e; 13-17 in Y3d and 99 in Y3f) 00. p, 3-4 in V3011; 2 in Y3c ============================== VAR M923914 92PRE: Y4. R WORK ST COLUMNS 818 - 819 NUMERIC Y4. (RB, P.25) We'd like to know if you are working now, temporarily laid off, or are you unemployed, retired, permanently disabled,(a homemaker), (a student), or what? (MARK ALL THAT APPLY). --------------------------------------------------------- 10. WORKING NOW only 15. R volunteers WORKING NOW and RETIRED--currently working 20 hours or more a week 16. PERMANENTLY DISABLED and WORKING NOW, currently working 20 hours or more a week 17. R volunteers WORKING NOW and HOMEMAKER, currently working 20 hours or more a week 18. R volunteers WORKING NOW and STUDENT, currently working 20 hours or more a week 20. TEMPORARILY LAID OFF 40. UNEMPLOYED 50. RETIRED--no other occupation 51. R volunteers RETIRED and WORKING NOW, currently working less than 20 hours a week 60. PERMANENTLY DISABLED--NOT WORKING 61. PERMANENTLY DISABLED and WORKING NOW, currently working less than 20 hours a week 70. HOMEMAKER--no other occupation 71. R volunteers HOMEMAKER and WORKING NOW, currently working less than 20 hours a week 75. R volunteers HOMEMAKER and STUDENT--no other occupation 80. STUDENT--no other occupation 81. R volunteers STUDENT and WORKING NOW, currently less than 20 hours a week 99. NA ============================== VAR M923915 92PRE: Y4x. COLUMNS 820 - 820 NUMERIC Y4x. SUMMARY: R's working status --------------------------------- Built from Y4. 1. R working now or is retired/permanently disabled/ homemaker/student working 20 hours or more per week (10, 15-18 in Y4) 2. R temporarily laid off (20 in Y4) 4. R unemployed (40 in Y4) 5. R retired and not working 20 hours or more per week (50, 51 in Y4) 6. R permanently disabled and not working 20 hours or more per week (60, 61 in Y4) 7. R homemaker not working 20 hours or more per week (70-71, 75 in Y4) 8. R student not working 20 hours or more per week (80, 81 in Y4) 9. NA (99 in Y4) ============================== VAR M923916 92PRE: Y4a. COLUMNS 821 - 821 NUMERIC Y4a. (IF R IS UNEMPLOYED) Have you ever done any work for pay? ---------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 15-18, 20, 50-51, 60-61, 70-71, 75, 80-81, 99 in Y4 ============================== VAR M923917 92PRE: Y4b. COLUMNS 822 - 823 NUMERIC Y4b. (IF R IS RETIRED) When did you retire? -------------------------------------------- Last two digits of YEAR (30-92) 30. . . 92. 99. NA 00. Inap, 10, 16-18, 20, 40, 60-61, 70-71, 75, 80-81, 99 in Y4 ============================== VAR M923918 92PRE: Y4c. COLUMNS 824 - 824 NUMERIC Y4c. (IF R IS DISABLED) Have you ever done any work for pay? -------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 15, 17-18, 20, 40, 50-51, 70-71, 75, 80-81, 99 in Y4 ============================== VAR M923919 92PRE: Y4d. COLUMNS 825 - 825 NUMERIC Y4d. (IF R IS HOMEMAKER OR STUDENT) Are you doing any work for pay at the present time? ----------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Y4 ============================== VAR M923920 92PRE: Y4e. COLUMNS 826 - 826 NUMERIC Y4e. (IF R IS HOMEMAKER OR STUDENT NOT WORKING AT PRESENT) In the last six months, did you do any work for pay? ----------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 8-9 in Y4d ============================== VAR M923921 2PO.Y5/A.R WKG NOW OCC COLUMNS 827 - 828 NUMERIC R WORKING NOW OR TEMPORARILY LAID OFF: Y5 - Y9b Y5. What is your main occupation? (What sort of work do you do?) Y5a. What are your most important activities or duties? --------------------------------------------------------- The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923922 92PRE: Y5x(1). COLUMNS 829 - 830 NUMERIC Y5x(1). Collapsed 1980 Occupation Code --------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Y5 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200- 235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286- 389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700- 799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923923 R WKG-OCC PREST COLUMNS 831 - 831 NUMERIC IMP DEC= 2 Y5x(2). PRESTIGE SCORE ----------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A Davis, Robert W. Hodge, Keiko Nakao, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to these data. 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923924 92PRE: Y5b. COLUMNS 832 - 834 NUMERIC Y5b. What kind of (business/industry) is that? ----------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. SEE NOTE(S) 10 010. . . 932. 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923925 92PRE: Y6. COLUMNS 835 - 835 NUMERIC Y6. Do you work for someone else, are you self-employed, or what? ------------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 3-4 in V3011; 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923926 92PRE: Y6a. COLUMNS 836 - 836 NUMERIC Y6a. Are you employed by a federal, state or local government? --------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 40, 50, 60, 70, 75, 80, 99 in Y4; 3, 8-9 in Y6 ============================== VAR M923927 92PRE: Y7. COLUMNS 837 - 838 NUMERIC Y7. About how many hours do you work on your job in the average week? -------------------------------------------------------- Actual number of HOURS A WEEK (01-96) 01. . . 96. 97. 97 or more hours 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923928 92PRE: Y7a. COLUMNS 839 - 839 NUMERIC Y7a. Is that more hours than you want to work, fewer hours than you want to work, or generally about right? ----------------------------------------------------------- 1. FEWER 3. ABOUT RIGHT 5. MORE 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923929 92PRE: Y8. COLUMNS 840 - 840 NUMERIC Y8. How worried are you about losing your job in the near future; a lot, somewhat, or not much at all? ---------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923930 92PRE: Y9. COLUMNS 841 - 841 NUMERIC Y9. INTERVIEWER CHECKPOINT --------------------------- SEE Y4 1. R IS WORKING NOW 2. R TEMPORARILY LAID OFF 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4 ============================== VAR M923931 92PRE: Y9a. COLUMNS 842 - 842 NUMERIC Y9a. Were you out of work or laid off at any time during the last six months? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4; 2 in Y9 ============================== VAR M923932 92PRE: Y9b. COLUMNS 843 - 843 NUMERIC Y9b. During the last six months, have you had a reduction in your work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Y4; 2 in Y9 ============================== VAR M923933 2PO.Y10/A.R UN/RT/D OCC COLUMNS 844 - 845 NUMERIC R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED AND HAS EVER WORKED FOR PAY: Y10 - Y15a Y10. What kind of work did you do on your last regular job? (What was your occupation?) Y10a. What were your most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923934 92PRE: Y10x(1). COLUMNS 846 - 847 NUMERIC Y10x(1). Collapsed 1980 Occupation Code ---------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Y10, Y10a. 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200- 235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286- 389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700- 799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923935 R U/R/D OCC PREST COLUMNS 848 - 848 NUMERIC IMP DEC= 2 Y10x(2). PRESTIGE SCORE ------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A Davis, Robert W. Hodge, Keiko Nakao, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to these data. 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923936 92PRE: Y10b. COLUMNS 849 - 851 NUMERIC Y10b. What kind of (business/industry) was that? ------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. SEE NOTE(S) 10 010. . . 932. 998. DK 999. NA 000. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923937 92PRE: Y11. COLUMNS 852 - 852 NUMERIC Y11. Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------ 1. ONE ELSE 2. SOMEONE ELSE AND SELF 3. ONLY 8. DK 9. NA 0. Inap, 3-4 in V3011; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923938 92PRE: Y11a. COLUMNS 853 - 853 NUMERIC Y11a. Were you employed by a federal, state or local government? ---------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c; 3, 8-9 in Y11 ============================== VAR M923939 92PRE: Y12. COLUMNS 854 - 854 NUMERIC Y12. Have you had a job in the past six months? ------------------------------------------------ 1. YES 5. NO 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923940 92PRE: Y12a. COLUMNS 855 - 856 NUMERIC Y12a. About how many hours did you work on your job in the average week? ---------------------------------------------------------- Actual number of HOURS A WEEK (01-96) 01. . . 96. 97. 97 or more hours 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c; 5, 9 in Y12 ============================== VAR M923941 92PRE: Y13. COLUMNS 857 - 857 NUMERIC Y13. INTERVIEWER CHECKPOINT: EMPLOYMENT STATUS ------------------------------------------------ See Y4 1. R IS UNEMPLOYED 2. R IS RETIRED OR PERMANENTLY DISABLED 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c ============================== VAR M923942 92PRE: Y14. COLUMNS 858 - 858 NUMERIC Y14. Are you doing any work for pay at the present time? --------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c; 1 in Y13 ============================== VAR M923943 92PRE: Y15. COLUMNS 859 - 859 NUMERIC Y15. Are you looking for work at the present time? --------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c; 1, 9 in Y14 ============================== VAR M923944 92PRE: Y15a. COLUMNS 860 - 860 NUMERIC Y15a. How worried are you about not being able to find a job in the near future; a lot, somewhat, or not much at all? ------------------------------------------------------------ 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y4; 5, 9 in Y4a; 5, 9 in Y4c; 1, 9 in Y14; 9 in Y15 ============================== VAR M923945 2PO.Y16/A.R HOM/STU OCC COLUMNS 861 - 862 NUMERIC R HOMEMAKER OR STUDENT NOT WORKING AT PRESENT AND HAS WORKED IN PAST 6 MONTHS: Y16 - Y20A Y16. What kind of work did you do on your last regular job? (What was your occupation?) Y16a. What were your most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923946 92PRE: Y16x(1). COLUMNS 863 - 864 NUMERIC Y16x(1). Collapsed 1980 Occupation Code ---------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Y16, Y16a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200- 235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286- 389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700- 799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923947 R HW/ST OCC PREST COLUMNS 865 - 865 NUMERIC IMP DEC= 2 Y16x(2). PRESTIGE SCORE ------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A Davis, Robert W. Hodge, Keiko Nakao, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to these data. 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923948 92PRE: Y17. COLUMNS 866 - 868 NUMERIC Y17. What kind of (business/industry) was that? ------------------------------------------------ See 1980 CENSUS INDUSTRY Master Code. SEE NOTE(S) 10 010. . . 932. 998. DK 999. NA 000. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923949 92PRE: Y18. COLUMNS 869 - 869 NUMERIC Y18. Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 3-4 in V3011; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923950 92PRE: Y18a. COLUMNS 870 - 870 NUMERIC Y18a. Were you employed by a federal, state or local government? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e; 3, 8-9 in Y18 ============================== VAR M923951 92PRE: Y19. COLUMNS 871 - 872 NUMERIC Y19. About how many hours did you work on your job in the average week? ---------------------------------------------------------- Actual number of HOURS A WEEK (01-96) 01. . . 96. 97. 97 or more hours 98. DK 99. NA 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923952 92PRE: Y29. COLUMNS 873 - 873 NUMERIC Y20. Are you looking for work at the present time? --------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923953 92PRE: Y20a. COLUMNS 874 - 874 NUMERIC Y20a. How worried are you about not being able to find a job in the near future; a lot, somewhat, or not much at all? ------------------------------------------------------------ 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y4; 1, 9 in Y4d; 5, 9 in Y4e ============================== VAR M923954 REC:R 80 CENSUS OCCUP COLUMNS 875 - 876 NUMERIC The stacked series of variables 3954-3963 combines occupation information about R from the "working now", "unemployed/retired/disabled" and "homemaker/student" sections. RC1. WHAT IS/WAS YOUR MAIN OCCUPATION? WHAT SORT OF WORK DO/DID YOU DO? RC1A. WHAT ARE/WERE YOUR MOST IMPORTANT ACTIVITIES OR DUTIES? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. SEE 1980 CENSUS OCCUPATION MASTER CODE. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN, Y4C ============================== VAR M923955 REC:R 80 CENS OCC CLPSD COLUMNS 877 - 878 NUMERIC RC2. COLLAPSED 1980 OCCUPATION CODE FOR R'S CURRENT/FORMER OCCUPATION ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. 1980 CENSUS MAJOR GROUP CATEGORIES 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL(001-039) 02. PROFESSIONAL SPECIALITY OCCUPATIONS(040-199) 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS(200-235) 04. SALES OCCUPATIONS (236-285) 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL(286-389) 06. PRIVATE HOUSEHOLD (403-407) 07. PROTECTIVE SERVICE (408-427) 08. SERVICE EXCEPT PROTECTIVE AND HOUSEHOLD(428-469) 09. FARMING, FORESTRY AND FISHING OCCUPATIONS(470-499) 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS(500-699) 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS(700-799) 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS(800-859) 13. HANDLERS, EQUIPMENT CLEARNERS, HELPERS AND LABORERS(860-890) 14. MEMBER OF ARMED FORCES (900) 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M923956 REC:R INDUSTRY COLUMNS 879 - 881 NUMERIC RC3. WHAT DO/DID THEY MAKE OR DO WHERE YOU WORK/ED? WHAT KIND OF BUSINESS OR INDUSTRY IS/WAS THAT? -------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. SEE 1980 CENSUS INDUSTRY MASTER CODE SEE NOTE(S) 10 010. . . 990. 998. DK 999. NA 000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M923957 REC:R SELF EMPLOYED? COLUMNS 882 - 882 NUMERIC RC4. DO/DID YOU WORK FOR SOMEONE ELSE, ARE/WERE YOU SELF-EMPLOYED, OR WHAT? --------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M923958 REC:R EMP BY GOVT? COLUMNS 883 - 883 NUMERIC RC5. ARE/WERE YOU EMPLOYED BY A FEDERAL, STATE OR LOCAL GOVERNMENT? ------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. 1. YES 5. NO 8. DK 9. NA 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 3, 8-9 IN Y6; 3, 8-9 IN Y11 ============================== VAR M923959 REC:R #HOURS WORK/WEEK COLUMNS 884 - 885 NUMERIC RC6. ABOUT HOW MANY HOURS DO/DID YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? --------------------------------------------------------- ACTUAL NUMBER OF HOURS A WEEK THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 5,9 IN Y12 ============================== VAR M923960 REC:R WORRIED LOSE JOB COLUMNS 886 - 886 NUMERIC RC7. HOW WORRIED ARE YOU ABOUT LOSING YOUR JOB/NOT BEING ABLE TO FIND A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF RESPONDENT WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW, REFUSED 9. NA 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 1,9 IN Y14 ============================== VAR M923961 REC:R JOB IN LAST 6 MOS COLUMNS 887 - 887 NUMERIC RC8. HAVE YOU HAD A JOB IN THE PAST SIX MONTHS? ------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. 1. YES 5. NO 8. DK 9. NA 0. INAP; 10,17-18,20,70-71,75,80-81,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M923962 REC:R LOOKING FOR WORK COLUMNS 888 - 888 NUMERIC RC9. ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? --------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. 1. YES 5. NO 8. DK 9. NA 0. INAP; 10,17-18,20,70-71,75,80-81,99 IN Y4; 5,9 IN Y4A; Y4A; 5,9 IN Y4C; 1,9 IN Y14 ============================== VAR M923963 REC:R EVER WORK FOR PAY COLUMNS 889 - 889 NUMERIC RC10. HAVE YOU EVER DONE ANY WORK FOR PAY? ------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL R'S WHO ARE UNEMPLOYED OR PERMANENTLY DISABLED. 1. YES 5. NO 9. NA 0. INAP; 10,15,17-18,20,50-51,70-71,75,80-81,99 IN Y4 There are no variables in range 3964-4000 ============================== VAR M924001 92PRE: Y21. COLUMNS 890 - 890 NUMERIC Y21. INTERVIEWER CHECKPOINT ---------------------------- NOTE: The Spanish language questionnaire contains for code 1 "R IS FEMALE AND MARRIED," so that married/ partnered males interviewed with the Spanish questionnaire are NOT asked the spouse/partner series of employment questions. 1. R IS MARRIED (OR PARTNERED) 2. ALL OTHERS ============================== VAR M924002 92PRE: Y22. COLUMNS 891 - 892 NUMERIC Y22. (RB, STILL ON P.25) We'd like to know about (your husband/your wife/your partner). Is he/she working now, temporarily laid off, or is he/she unemployed, retired, permanently disabled, (a homemaker), (a student), or what? (MARK ALL THAT APPLY) ---------------------------------------------------------- 10. WORKING NOW only 15. R volunteers WORKING NOW and RETIRED-- currently working 20 hours or more a week 16. PERMANENTLY DISABLED and WORKING NOW, currently working 20 hours or more a week 17. R volunteers WORKING NOW and HOMEMAKER, currently working 20 hours or more a week 18. R volunteers WORKING NOW and STUDENT, currently working 20 hours or more a week 20. TEMPORARILY LAID OFF 40. UNEMPLOYED 50. RETIRED--no other occupation 51. R volunteers RETIRED and WORKING NOW, currently working less than 20 hours a week 60. PERMANENTLY DISABLED--NOT WORKING 61. PERMANENTLY DISABLED and WORKING NOW, currently working less than 20 hours 70. HOMEMAKER--no other occupation 71. R volunteers HOMEMAKER and WORKING NOW, currently working less than 20 hours a week 75. R volunteers HOMEMAKER and STUDENT--no other occupation 80. STUDENT--no other occupation 81. R volunteers STUDENT and WORKING NOW, currently less than 20 hours a week 99. NA 00. Inap, 2 in Y21 ============================== VAR M924003 92PRE: Y22x. COLUMNS 893 - 893 NUMERIC Y22x. SUMMARY: Spouse's working status ---------------------------------------- Built from Y22 1. R working now or is retired/permanently disabled/ homemaker/student working 20 hours or more per week (10, 15-18 in Y22) 2. R temporarily laid off (20 in Y22) 4. R unemployed (40 in Y22) 5. R retired and not working 20 hours or more per week (50, 51 in Y22) 6. R permanently disabled and not working 20 hours or more per week (60, 61 in Y22) 7. R homemaker not working 20 hours or more per week (70-71, 75 in Y22) 8. R student not working 20 hours or more per week (80, 81 in Y22) 9. NA (99 in Y22) 0. Inap, 2 in Y21 ============================== VAR M924004 92PRE: Y22a. COLUMNS 894 - 894 NUMERIC Y22a. (IF SPOUSE IS UNEMPLOYED) Has (he/she) ever done any work for pay? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 15-18, 20, 50-51, 60-61, 70-71, 75, 80-81, 99 in Y22 ============================== VAR M924005 92PRE: Y22b. COLUMNS 895 - 896 NUMERIC Y22b. (IF SPOUSE IS RETIRED) When did (he/she) retire? ------------------------------------------------------- Last two digits of YEAR (41-92) 41. . . 92. 99. NA 00. Inap, 2 in Y21; 10, 16-18, 20, 40, 60-61, 70-71, 75, 80-81, 99 in Y22 ============================== VAR M924006 92PRE: Y22c. COLUMNS 897 - 897 NUMERIC Y22c. (IF SPOUSE IS DISABLED) Has (he/she) ever done any work for pay? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 15, 17-18, 20, 40, 50-51, 70-71, 75, 80-81, 99 in Y22 ============================== VAR M924007 92PRE: Y22d. COLUMNS 898 - 898 NUMERIC Y22d. (IF SPOUSE IS HOMEMAKER OR STUDENT) Is (he/she) doing any work for pay at the present time? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 15-16, 20, 40, 50-51, 60- 61, 99 in Y22 ============================== VAR M924008 92PRE: Y22e. COLUMNS 899 - 899 NUMERIC Y22e. In the last six months, did (he/she) do any work for pay? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 15-16, 20, 40, 50-51, 60- 61, 99 in Y22; 1, 8-9 in Y22d ============================== VAR M924009 2PO.Y23/A.SPSE WKG OCC COLUMNS 900 - 901 NUMERIC SPOUSE WORKING NOW OR TEMPORARILY LAID OFF: Y23 - Y27b Y23. What is (his/her) main occupation? (What sort of work does (he/she) do?) Y23a. What are (his/her) most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924010 92PRE: Y23x(1). COLUMNS 902 - 903 NUMERIC Y23x(1). Collapsed 1980 Occupation Code ---------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Y23. 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428- 469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924011 SP WKG-OCC PREST COLUMNS 904 - 904 NUMERIC IMP DEC= 2 Y23x(2). PRESTIGE SCORE ------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A Davis, Robert W. Hodge, Keiko Nakao, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to these data. 00. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924012 92PRE: Y23b. COLUMNS 905 - 907 NUMERIC Y23b. What kind of (business/industry) is that? ------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. SEE NOTE(S) 10 010. . . 990. 998. DK 999. NA 000. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924013 92PRE: Y24. COLUMNS 908 - 908 NUMERIC Y24. Does (he/she) work for someone else, is (he/she) self-employed, or what? ------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924014 92PRE: Y24a. COLUMNS 909 - 909 NUMERIC Y24a. Is (he/she) employed by a federal, state or local government? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22; 3, 8-9 in Y24 ============================== VAR M924015 92PRE: Y25. COLUMNS 910 - 911 NUMERIC Y25. About how many hours does (he/she) work on (his/her) job in the average week? ---------------------------------------------------------- Actual number of HOURS A WEEK (01-96) 01. . . 96. 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924016 92PRE: Y25a. COLUMNS 912 - 912 NUMERIC Y25a. Is that more hours than (he/she) wants to work, fewer hours than (he/she) wants to work, or generally about right? ------------------------------------------------------------ 1. FEWER 3. ABOUT RIGHT 5. MORE 8. DK 9. NA 0. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924017 92PRE: Y26. COLUMNS 913 - 913 NUMERIC Y26. How worried is (he/she) about losing (his/her) job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924018 92PRE: Y27. COLUMNS 914 - 914 NUMERIC Y27. INTERVIEWER CHECKPOINT ---------------------------- 1. SPOUSE/PARTNER IS WORKING NOW (1 AT Y22) 2. SPOUSE/PARTNER TEMPORARILY LAID OFF 0. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22 ============================== VAR M924019 92PRE: Y27a. COLUMNS 915 - 915 NUMERIC Y27a. Was (he/she) out of work or laid off at any time during the last six months? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22; 2 in Y27 ============================== VAR M924020 92PRE: Y27b. COLUMNS 916 - 916 NUMERIC Y27b. During the last six months, has (he/she) had a reduction in (his/her) work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 40, 50, 60, 70, 75, 80, 99 in Y22; 2 in Y27 ============================== VAR M924021 2PO.Y10/A.SP U/R/D OCC COLUMNS 917 - 918 NUMERIC SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED AND HAS EVER WORKED FOR PAY: Y28 - Y32a Y28. What kind of work did (he/she) do on (his/her) last regular job? (What was (his/her) occupation?) Y28a. What were (his/her) most important activities or duties? ---------------------------------------------------------- The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924022 92PRE: Y28x(1). COLUMNS 919 - 920 NUMERIC Y28x(1). Collapsed 1980 Occupation Code ---------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Y28. 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428- 469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924023 SP U/R/D OCC PREST COLUMNS 921 - 921 NUMERIC IMP DEC= 2 Y28x(2). PRESTIGE SCORE ------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A Davis, Robert W. Hodge, Keiko Nakao, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to these data. 00. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924024 92PRE: Y28b. COLUMNS 922 - 924 NUMERIC Y28b. What kind of (business/industry) was that? ------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. SEE NOTE(S) 10 010. . . 990. 998. DK 999. NA 000. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924025 92PRE: Y29. COLUMNS 925 - 925 NUMERIC Y29. Did (he/she) work for someone else, was (he/she) self-employed, or what? ------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924026 92PRE: Y29a. COLUMNS 926 - 926 NUMERIC Y29a. Was (he/she) employed by a federal, state or local government? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c; 3, 8-9 in Y29 ============================== VAR M924027 92PRE: Y30. COLUMNS 927 - 927 NUMERIC Y30. Has (he/she) had a job in the past six months? ---------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924028 92PRE: Y30a. COLUMNS 928 - 929 NUMERIC Y30a. About how many hours did (he/she) work on (his/her) job in the average week? ---------------------------------------------------------- Actual number of HOURS A WEEK (01-96) 01. . . 96. 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c; 5, 8-9 in Y30 ============================== VAR M924029 92PRE: Y31. COLUMNS 930 - 930 NUMERIC Y31. INTERVIEWER CHECKPOINT: EMPLOYMENT STATUS ------------------------------------------------ 1. SPOUSE IS UNEMPLOYED 2. SPOUSE IS RETIRED OR PERMANENTLY DISABLED 0. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c ============================== VAR M924030 92PRE: Y31a. COLUMNS 931 - 931 NUMERIC Y31a. Is (he/she) doing any work for pay at the present time? -------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c; 1 in Y31 ============================== VAR M924031 92PRE: Y32. COLUMNS 932 - 932 NUMERIC Y32. Is (he/she) looking for work at the present time? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c; 1, 9 in Y31a ============================== VAR M924032 92PRE: Y32a. COLUMNS 933 - 933 NUMERIC Y32a. How worried is (he/she) about not being able to find a job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DK; REFUSED 9. NA 0. Inap, 2 in Y21; 10, 17-18, 20, 70-71, 75, 80- 81, 99 in Y22; 5, 8-9 in Y22a; 5, 8-9 in Y22c; 1, 9 in Y31; 8-9 in Y32 ============================== VAR M924033 2PO.Y16/A.SP HOM/ST OCC COLUMNS 934 - 935 NUMERIC SPOUSE HOMEMAKER OR STUDENT NOT WORKING AT PRESENT AND HAS WORKED IN PAST 6 MONTHS: Y33 - Y37a Y33. What kind of work did (he/she) do on (his/her) last regular job? (What was (his/her) occupation?) Y33a. What were (his/her) most important activities or duties? ---------------------------------------------------------- The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924034 92PRE: Y33x(1). COLUMNS 936 - 937 NUMERIC Y33x(1). Collapsed 1980 Occupation Code ---------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Y33 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428- 469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60- 61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924035 SP HW/ST OCC PREST COLUMNS 938 - 938 NUMERIC IMP DEC= 2 Y33x(2). PRESTIGE SCORE ------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A Davis, Robert W. Hodge, Keiko Nakao, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to these data. 00. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60- 61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924036 92PRE: Y34. COLUMNS 939 - 941 NUMERIC Y34. What kind of (business/industry) was that? ------------------------------------------------ See 1980 CENSUS INDUSTRY Master Code. SEE NOTE(S) 10 010. . . 990. 998. DK 999. NA 000. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924037 92PRE: Y35. COLUMNS 942 - 942 NUMERIC Y35. Did (he/she) work for someone else, was (he/she) self-employed, or what? ------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924038 92PRE: Y35a. COLUMNS 943 - 943 NUMERIC Y35a. Was (he/she) employed by a federal, state or local government? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011; 2 in Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y22; 5, 8-9 in Y22e; 3, 8-9 in Y35 ============================== VAR M924039 92PRE: Y36. COLUMNS 944 - 945 NUMERIC Y36. About how many hours did (he/she) work on his job in the average week? ---------------------------------------------------------- Actual number of HOURS A WEEK (01-96) 01. . . 96. 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924040 92PRE: Y37. COLUMNS 946 - 946 NUMERIC Y37. Is (he/she) looking for work at the present time? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60- 61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924041 92PRE: Y37a. COLUMNS 947 - 947 NUMERIC Y37a. How worried is (he/she) about not being able to find a job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 0. Inap, 2 in Y21; 10, 15-18, 20, 40, 50-51, 60- 61, 71, 81, 99 in Y22; 5, 8-9 in Y22e ============================== VAR M924042 REC:S/PT 80 CENSUS OCCUP COLUMNS 948 - 949 NUMERIC The stacked series of variables 4042-4051 combines occupation information about spouse from the "working now", "unemployed/retired/disabled" and "homemaker/student" sections. RC1001. WHAT IS/WAS HIS/HER (SPOUSE'S/PARTNER'S) MAIN OCCUPATION? WHAT SORT OF WORK DO/DID HE/SHE DO? RC1001A. WHAT ARE/WERE HIS/HER MOST IMPORTANT ACTIVITIES OR DUTIES? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL RESPONDENTS' SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT'S SPOUSE/PARTNER WAS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondent's/spouse's/ partner's anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. SEE NOTE(S) 9 01. . . 71. 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M924043 REC:S/PT 80 OCCUP CLPSD COLUMNS 950 - 951 NUMERIC RC1002. COLLAPSED 1980 OCCUPATION CODE FOR R'S SPOUSE'S/PARTNER'S CURRENT/FORMER OCCUPATION ----------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF SPOUSE/PARTNER IS CODED 15 OR 51 (RETIRED, AND WORKING NOW) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION IS USED. 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL (001-039) 02. PROFESSIONAL SPECIALITY OCCUPATIONS (040-199) 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS (200-235) 04. SALES OCCUPATIONS (236-285) 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL (286-389) 06. PRIVATE HOUSEHOLD (403-407) 07. PROTECTIVE SERVICE (408-427) 08. SERVICE EXCEPT PROTECTIVE AND HOUSEHOLD (428-469) 09. FARMING, FORESTRY AND FISHING OCCUPATIONS (470-499) 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS (500-699) 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS (700-799) 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS (800-859) 13. HANDLERS, EQUIPMENT CLEARNERS, HELPERS AND LABORERS (860-890) 14. MEMBER OF ARMED FORCES (900) 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M924044 REC:S/PT INDUSTRY COLUMNS 952 - 954 NUMERIC RC1003. WHAT DO/DID THEY MAKE OR DO WHERE S/HE WORKS/WORKED? WHAT KIND OF BUSINESS OR INDUSTRY IS/WAS THAT? ------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF SPOUSE/PARTNER IS CODED 15 OR 51 (RETIRED, AND WORKING NOW) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION IS USED. SEE 1980 CENSUS INDUSTRY MASTER CODE. SEE NOTE(S) 10 010. . . 990. 998. DK 999. NA 000. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M924045 REC:S/PT SELF EMPLOYED? COLUMNS 955 - 955 NUMERIC RC1004. DOES/DID S/HE (SPOUSE/PARTNER) WORK FOR SOMEONE ELSE, IS/WAS S/HE SELF-EMPLOYED, OR WHAT? -------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED HOMEMAKERS OR STUDENTS. IF SPOUSE/PARTNER IS CODED 15 OR 51 (RETIRED, AND WORKING NOW) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION IS USED. 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M924046 REC:S/PT EMP BY GOVT? COLUMNS 956 - 956 NUMERIC RC1005. IS/WAS S/HE (SPOUSE/PARTNER) EMPLOYED BY A FEDERAL,STATE OR LOCAL GOVERNMENT? --------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF SPOUSE/PARTNER IS CODED 15 OR 51 (RETIRED, AND WORKING NOW) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION IS USED. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 3,8-9 IN Y24; 3,8-9 IN Y29 ============================== VAR M924047 REC:S/PT #HRS WORK/WEEK COLUMNS 957 - 958 NUMERIC RC1006. ABOUT HOW MANY HOURS DOES/DID S/HE (SPOUSE/PARTNER) WORK ON HIS/HER JOB IN THE AVERAGE WEEK? ----------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF SPOUSE/PARTNER IS CODED 15 OR 51 (RETIRED, AND WORKING NOW) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION IS USED. 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 5,8-9 IN Y30 ============================== VAR M924048 REC:S/PT WORRY LOSE JOB? COLUMNS 959 - 959 NUMERIC RC1007. HOW WORRIED IS S/HE (SPOUSE/PARTNER) ABOUT LOSING HIS/HER JOB/NOT BEING ABLE TO FIND JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. IF SPOUSE/PARTNER IS CODED 15 OR 51 (RETIRED, AND WORKING NOW) IN Y22, HIS/HER FORMER OCCUPATION INFORMATION IS USED. 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW, REFUSED 9. NA 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 1,8-9 IN Y31A ============================== VAR M924049 REC:S/PT WORK PAST 6 MOS COLUMNS 960 - 960 NUMERIC RC1008. HAS S/HE (SPOUSE/PARTNER) HAD A JOB IN THE PAST SIX MONTHS? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL SPOUSES/PARTNERS WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 10,17-18,20,70-71,75,80-81,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M924050 REC:S/PT LOOKING FR WORK COLUMNS 961 - 961 NUMERIC RC1009. IS S/HE (SPOUSE/PARTNER) LOOKING FOR WORK AT THE PRESENT TIME? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSE/PARTNERS WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 10,17-18,20,70-71,75,80-81,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 1,8-9 IN Y31A ============================== VAR M924051 REC:S/PT EVR WRK FOR PAY COLUMNS 962 - 962 NUMERIC RC1010. HAS S/HE (SPOUSE/PARTNER) EVER DONE ANY WORK FOR PAY? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FOR ALL SPOUSES/PARTNERS WHO ARE UNEMPLOYED OR PERMANENTLY DISABLED, HOMEMAKERS OR STUDENTS. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 10,17-18,20,50-51,70-71,75, 80-81,99 IN Y22 There are no variables in the range 4052-4100 ============================== VAR M924101 92PRE: Y38. COLUMNS 963 - 963 NUMERIC Y38. Do you or anyone else in this household belong to a labor union? --------------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. 1. YES 5. NO 8. DK 9. NA 0. Inap, 4 in V3011 ============================== VAR M924102 92PRE: Y38a. WHO UNION COLUMNS 964 - 965 NUMERIC Y38a. Who is it that belongs? (CHECK ALL THAT APPLY) ----------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. 11. (A) RESPONDENT only 13. (C) R's WIFE only 14. (D) R's HUSBAND only 15. (E) SOMEONE ELSE in household only 20. (A,D) RESPONDENT and R's HUSBAND 21. (A,C) RESPONDENT and R's WIFE 22. (A,E) RESPONDENT and SOMEONE ELSE 23. (C,E) R's WIFE and SOMEONE ELSE 26. (D,E) R's HUSBAND and SOMEONE ELSE 31. (A,C,E) RESPONDENT, R's WIFE and SOMEONE ELSE 32. (A,D,E) RESPONDENT, R's HUSBAND and SOMEONE ELSE 99. NA 00. Inap, 4 in V3011; 5, 8-9 in Y38 ============================== VAR M924103 92PRE: Y39. COLUMNS 966 - 966 NUMERIC NES income variables traditionally are administered by showing respondents a list of income groups (24 categories in all), and asking them which one corresponds to their situation. This procedure cannot be easily duplicated over the phone. Income information from the "long form" questionnaire was originally coded in variables 4103-4105. Information from the "short form" telephone questionnaire was coded in variables 4106-4110. For the users' convenience the information from the "short form" was copied into variables 4103-4105. For a complete layout of the income section in each form please see the composite questionnaire. Y39. INTERVIEWER CHECKPOINT ------------------------------------------------------------ NOTE: ALTHOUGH THIS IS THE LONG-FORM CHECKPOINT, DATA FROM THE SHORT FORM CHECKPOINT HAVE BEEN DUPLICATED HERE. 1. R ONLY FAMILY MEMBER AGE 14 OR OLDER 2. ALL OTHERS ============================== VAR M924104 92PRE: Y40. FAM INCOME COLUMNS 967 - 968 NUMERIC Y40. FAMILY INCOME -- LONG FORM AND SHORT FORM Y40. (RB, P.26) Please look at this page and tell me the letter of the income group that includes the income of all members of your family living here in 1991 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) ----------------------------------------------------------- NOTE: ALTHOUGH THIS IS THE FAMILY INCOME VARIABLE FOR LONG FORM INTERVIEWS, INCOME DATA FOR CASES INTERVIEWED WITH SHORT FORM QUESTIONNAIRES (SEE Y40 A/B) HAVE BEEN DUPLICATED HERE. Rs who do not live with a family member age 14 or older were not asked this question. Their response to Y41 was duplicated in this variable. 01. A. NONE OR LESS THAN $2,999 02. B. $3,000-$4,999 03. C. $5,000-$6,999 04. D. $7,000-$8,999 05. E. $9,000-$9,999 06. F. $10,000-$10,999 07. G. $11,000-$11,999 08. H. $12,000-$12,999 09. J. $13,000-$13,999 10. K. $14,000-$14,999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-$89,999 23. AA. $90,000-$104,999 24. BB. $105,000 AND OVER 66. Below $24,999 but NA category (short form) 77. Above $24,999 but NA category (short form) 88. DK 98. R REFUSED TO ANSWER 99. NA ============================== VAR M924105 92PRE: Y40a/Y41. R INC COLUMNS 969 - 970 NUMERIC Y40a/Y41. R's INCOME -- LONG FORM AND SHORT FORM Y40a. (RB, still on P. 26) Now we are interested in the income that you yourself received in 1991, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1991 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) Y41. (RB, still on P. 26) Please look at this page and tell me the letter of the income group that includes the income you had in 1991 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ------------------------------------------------------------ NOTE: ALTHOUGH THIS IS R's INCOME VARIABLE FOR LONG FORM INTERVIEWS, INCOME DATA FOR CASES INTERVIEWED WITH SHORT FORM QUESTIONNAIRES (SEE Y40d/e,Y41a/b) HAVE BEEN DUPLICATED HERE. 01. A. NONE OR LESS THAN $2,999 02. B. $3,000-$4,999 03. C. $5,000-$6,999 04. D. $7,000-$8,999 05. E. $9,000-$9,999 06. F. $10,000-$10,999 07. G. $11,000-$11,999 08. H. $12,000-$12,999 09. J. $13,000-$13,999 10. K. $14,000-$14,999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-$89,999 23. AA. $90,000-$104,999 24. BB. $105,000 AND OVER 66. Below $24,999 but NA category (short form) 77. Above $24,999 but NA category (short form) 88. DK 98. R REFUSED TO ANSWER; 98 in Y40 99. ============================== VAR M924106 92PRE: Y39. COLUMNS 971 - 971 NUMERIC THE FOLLOWING 5 INCOME-RELATED VARIABLES ARE FOR SHORT FORM INTERVIEWS ONLY. THESE DATA ARE ALSO DUPLICATED IN THE 3 LONG FORM VARIABLES WHICH IMMEDIATELY PRECEDE THIS NOTE. Y39. INTERVIEWER CHECKPOINT (SHORT FORM) ----------------------------------------------------------- 1. R ONLY FAMILY MEMBER AGE 14 OR OLDER 2. ALL OTHERS 0. Inap, 1-2, 6-7 in V3011 ============================== VAR M924107 92PRE: Y40. COLUMNS 972 - 972 NUMERIC Y40. (SHORT FORM ONLY) Can you give us an estimate of your total family income in 1991 before taxes? This figure should include salaries, wages, pensions, dividends, interest and all other income for every member of your family living in your house in 1991. First could you tell me if that was above or below $24,999? (IF UNCERTAIN: what would be your best guess?) ------------------------------------------------------------ 1. BELOW $24,999 2. ABOVE $24,999 3. $24,999 (VOL) 8. DK 9. REFUSE TO ANSWER 0. Inap, 1-2, 6-7 in V3011; 1 in Y39 ============================== VAR M924108 92PRE: Y40a/b. COLUMNS 973 - 974 NUMERIC Y40a/b. SHORT FORM FAMILY INCOME Y40a/b. (SHORT FORM ONLY) I will read you some income categories, could you please stop me when I reach the category that corresponds to your family situation? ----------------------------------------------------- Rs who do not live with a family member age 14 or older were not asked this question. Their response to Y41a/b was duplicated in this variable. 1 case which was coded 3 in Y40 has been coded 14 in Y40a/b. Two cases (IDs 2721, 2995) coded 2 in Y40 (above $24,999) but not categorized further by the respondent have been coded 77. 01. A. NONE OR LESS THAN $2,999 02. B. $3,000-$4,999 03. C. $5,000-$6,999 04. D. $7,000-$8,999 05. E. $9,000-$9,999 06. F. $10,000-$10,999 07. G. $11,000-$11,999 08. H. $12,000-$12,999 09. J. $13,000-$13,999 10. K. $14,000-$14,999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-$89,999 23. AA. $90,000-$104,999 24. BB. $105,000 AND OVER 66. Below 24,999 but NA category 77. Above 24,999 but NA category 88. DK; 8 in Y40 98. R REFUSED TO ANSWER; 9 in Y40 00. Inap, 1-2, 6-7 in V3011; 1 in Y39 ============================== VAR M924109 92PRE: Y40c/Y41. COLUMNS 975 - 975 NUMERIC Y40c. (SHORT FORM ONLY) Now we are interested in the income that you yourself received in 1991, not including any of the income received by (your spouse and) the rest of your family. Can you please tell me whether the income that you yourself had in 1991 before taxes was above or below $24,999. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) Y41. Can you please tell me whether the income that you had in 1991 before taxes was above or below $24,999. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ------------------------------------------------------------ 1. BELOW $24,999 2. ABOVE $24,999 3. $24,999 (VOL) 8. DK 9. REFUSE TO ANSWER 0. Inap, 1-2, 6-7 in V3011; 9 in Y40 ============================== VAR M924110 92PRE: Y40d/e. Y41a/b. COLUMNS 976 - 977 NUMERIC Y40d/e, Y41a/b. SHORT FORM, R's INCOME Y40d/e,Y41a/b. (SHORT FORM ONLY) I will read you some income categories, could you please stop me when I reach the category that corresponds to your situation ------------------------------------------------------------ One case (ID 2995) coded 2 in Y40c/Y41 (above $24,999) but not categorized further by the respondent has been coded 77. One case (ID 2846) coded 1 in Y40c/Y41 (below $24,999) but not categorized further by the respondent has been coded 66. 01. A. NONE OR LESS THAN $2,999 02. B. $3,000-$4,999 03. C. $5,000-$6,999 04. D. $7,000-$8,999 05. E. $9,000-$9,999 06. F. $10,000-$10,999 07. G. $11,000-$11,999 08. H. $12,000-$12,999 09. J. $13,000-$13,999 10. K. $14,000-$14,999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-$89,999 23. AA. $90,000-$104,999 24. BB. $105,000 AND OVER 66. Below $24,999 but NA category 77. Above $24,999 but NA category 88. DK; 8 in Y40c/Y41 98. R REFUSED TO ANSWER; 9 in Y40c/Y41 00. Inap, 1-2, 6-7 in V3011 ============================== VAR M924111 92PRE: Y42. COLUMNS 978 - 978 NUMERIC Y42. There's been some talk these days about different social classes. Most people say they belong either to the middle class or the working class. Do you ever think of yourself as belonging in one of these classes? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 3-4 in V3011 ============================== VAR M924112 92PRE: Y42a/b. COLUMNS 979 - 979 NUMERIC Y42a. (IF YES:) Which one? Y42b. (IF NO, DK:) Well, if you had to make a choice, would you call yourself middle class or working class? ------------------------------------------------------- 1. MIDDLE CLASS 2. WORKING CLASS 5. Lower class; poor 6. Upper class 7. OTHER (SPECIFY) 8. Refused to accept idea of classes 9. DK; NA 0. Inap, 3-4 in V3011; 9 in Y42 ============================== VAR M924113 92PRE: Y42c/e. COLUMNS 980 - 980 NUMERIC Y42c. (IF MIDDLE CLASS:) Would you say that you are about average middle class or that you are in the upper part of the middle class? Y42e. (IF WORKING CLASS:) Would you say that you are about average working class or that you are in the upper part of the working class? ------------------------------------------------------------ In the Questionnaire, Y42e, Category 1 is printed as "4" and Category 2 is printed as "6". 1. AVERAGE WORKING 2. UPPER WORKING 4. AVERAGE MIDDLE 6. UPPER MIDDLE 8. DK 9. NA 0. Inap, 3-4 in V3011; 9 in Y42; 5-9 in Y42a/b ============================== VAR M924114 92PRE: Y42x. COLUMNS 981 - 981 NUMERIC Y42x. SUMMARY: R's Social Class -------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. Built from Y42a/b, Y42c/e 0. Lower class (50) 1. Average working (21) 2. Working--NA average or upper (28,29) 3. Upper working (22) 4. Average middle (14) 5. Middle class--NA average or upper (18,19) 6. Upper middle (16) 7. Upper class (60) 8. Refused to accept idea of class (80) 9. NA; DK; other; Inap, 4 in V3011 ============================== VAR M924115 92PRE: Y42d/f. COLUMNS 982 - 982 NUMERIC Y42d. Would you say you feel pretty close to middle class people, or that you don't feel much closer to them than to people in other classes? Y42f. Would you say you feel pretty close to working class people, or that you don't feel much closer to them than to people in other classes? ----------------------------------------------------------- In the Questionnaire, Y42d, Category 1 is printed as "2" and Category 4 is printed as "5". 1. CLOSE to middle class 2. CLOSE to working class 4. NOT CLOSE to middle class 5. NOT CLOSE to working class 8. DK 9. NA 0. Inap, 3-4 in V3011; 9 in Y42; 5-9 in Y42a/b ============================== VAR M924116 92PRE: Y43(1). COLUMNS 983 - 984 NUMERIC Y43(1). In addition to being American, what do you consider your main ethnic group or nationality group? ------------------------------------------------------------ If R gave 3 or more mentions, the first 2 were coded in Y43, unless the nationality chosen in Y43b was not one of the first 2 mentions. If the Y43b choice was not a first or second mention, Y43 has been coded as if the Y43b nationality had been the first mention; the actual first mention is then coded in Y43 as the second mention. See ICPSR NATIONALITY Master Code. SEE NOTE(S) 12 01. . . 95. 97. Other 98. DK 99. NA 00. NONE; no further mention; "just American" Inap, 3-4 in V3011; 00, 98-99 in Y43 ============================== VAR M924117 92PRE: Y43(2). COLUMNS 985 - 986 NUMERIC Y43(2). In addition to being American, what do you consider your main ethnic group or nationality group? ------------------------------------------------------------ If R gave 3 or more mentions, the first 2 were coded in Y43, unless the nationality chosen in Y43b was not one of the first 2 mentions. If the Y43b choice was not a first or second mention, Y43 has been coded as if the Y43b nationality had been the first mention; the actual first mention is then coded in Y43 as the second mention. See ICPSR NATIONALITY Master Code. SEE NOTE(S) 12 01. . . 95. 97. Other 98. DK 99. NA 00. NONE; no further mention; "just American" Inap, 3-4 in V3011; 00, 98-99 in Y43 ============================== VAR M924118 92PRE: Y43a. COLUMNS 987 - 987 NUMERIC Y43a. INTERVIEWER CHECKPOINT ----------------------------- 1. ONE GROUP MENTIONED IN Y43 5. MORE THAN ONE GROUP MENTIONED IN Y43 0. Inap, 3-4 in V3011; 00, 98-99 in Y43 ============================== VAR M924119 92PRE: Y43b. COLUMNS 988 - 989 NUMERIC Y43b. With which of these groups do you most closely identify? ----------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable (although not for vars 4116-4118). NOTE: Rs giving only 1 mention in Y43 were not asked this question. Their response to Y43 was duplicated in this variable. See ICPSR NATIONALITY Master Code. SEE NOTE(S) 12 01. . . 90. NONE, NEITHER 97. Other; combinations not codeable elsewhere 99. DK; NA; "American"; both/all 00. Inap, 4 in V3011; 00, 98-99 in Y43; 1 in Y43a ============================== VAR M924120 92PRE: Y44. COLUMNS 990 - 990 NUMERIC Y44. Were both your parents born in this country? -------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 4 in V3011 ============================== VAR M924121 92PRE: Y45. COLUMNS 991 - 991 NUMERIC Y45. INTERVIEWER CHECKPOINT ---------------------------- 1. SOME HISPANIC GROUP MENTIONED IN Y43 (4, 5, 8, 12, 16, 62, 88 in Y43) 2. NO HISPANIC GROUP MENTIONED IN Y43 0. Inap, 3-4 in V3011 ============================== VAR M924122 92PRE: Y46. COLUMNS 992 - 992 NUMERIC Y46. Are you of Spanish or Hispanic origin or descent? ------------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 4 in V3011; 1 in Y45 ============================== VAR M924123 92PRE: Y46a. COLUMNS 993 - 993 NUMERIC Y46a. (RB, P. 27) Please look at the booklet and tell me which category best describes your Hispanic origin. --------------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. 1. MEXICAN 2. PUERTO RICAN 3. CUBAN 4. LATIN AMERICAN 5. CENTRAL AMERICAN 6. SPANISH 7. OTHER, SPECIFY 8. DK 9. NA 0. Inap, 4 in V3011; 5, 8-9 in Y46 ============================== VAR M924124 92PRE: Y47. COLUMNS 994 - 996 NUMERIC Y47. Where were you born? (IF UNITED STATES: Which state?) ----------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. See ICPSR STATE AND COUNTRY Master Code. SEE NOTE(S) 13 101. . . 997. 998. DK 999. NA 000. Inap,4 in V3011 ============================== VAR M924125 92PRE: Y48. COLUMNS 997 - 999 NUMERIC Y48. Where was it that you grew up? (IF UNITED STATES: Which state or states?) -------------------------------------------------------- NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. If R grew up in more than one state or country the place where R lived the longest between ages 6 and 18 was coded See ICPSR STATE AND COUNTRY Master Code. SEE NOTE(S) 13 101. . . 997. 998. DK 999. NA 000. Inap, 4 in V3011 ============================== VAR M924126 92PRE: Y49/Y49a/Y49b. COLUMNS 1000 - 1001 NUMERIC Y49. What kind of work did your father (OR FATHER SUBSTITUTE) do for a living while you were growing up? (What was his main occupation?) Y49a. What were his most important activities or duties? Y49b. What kind of business or industry was that? --------------------------------------------------------- This is a collapsed version of the 1980 U.S. Census occupation code. 2-digit CPS OCCUPATION CODE 01. Executive, Administrative and Managerial 02. Professional Speciality Occupations 03. Technicians and Related Support Occupations 04. Sales Occupation 05. Administrative Support, including Clerical 06. Private Household 07. Protective Service 08. Service exc. Protective and Household 09. Farming, Forestry and Fishing Occupations 10. Precision Production, Craft and Repair Occupations 11. Machine Operators, Assemblers and Inspectors 12. Transportation and Material Moving Occupations 13. Handler, Equipment Cleaners, Helpers and Laborers 14. Member of Armed Forces 15. Not in Labor Force 98. DK 99. NA 00. Inap, Father wasn't living; not raised by Father; no parallel information for parental surrogate; 3-4, 6-7 in V3011 ============================== VAR M924127 92PRE: Y50. COLUMNS 1002 - 1002 NUMERIC Y50. Other than being a homemaker, did your mother (OR MOTHER SUBSTITUTE) have a job while you were growing up? -------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, mother wasn't living; not raised by mother; no parallel information for maternal surrogate; 3-4, 6-7 in V3011 ============================== VAR M924128 92PRE: Y50a/Y50b/Y50c. COLUMNS 1003 - 1004 NUMERIC Y50a. What kind of work did she do while you were growing up? What was her main occupation?) Y50b. What were her most important activities or duties? Y50c. What kind of business or industry was that? ---------------------------------------------------------- 2-digit CPS OCCUPATION CODE. 01. Executive, Administrative and Managerial 02. Professional Speciality Occupations 03. Technicians and Related Support Occupations 04. Sales Occupation 05. Administrative Support, including Clerical 06. Private Household 07. Protective Service 08. Service exc. Protective and Household 09. Farming, Forestry and Fishing Occupations 10. Precision Production, Craft and Repair Occupations 11. Machine Operators, Assemblers and Inspectors 12. Transportation and Material Moving Occupations 13. Handler, Equipment Cleaners, Helpers and Laborers 14. Member of Armed Forces 15. Not in Labor Force 98. DK 99. NA 00. Inap, 3-4, 6-7 in V3011; 0, 5, 8-9 in Y50 ============================== VAR M924129 92PRE: Y51. COLUMNS 1005 - 1005 NUMERIC Y51. (RB, P. 28) Looking at this list, please tell me where you were mostly brought up? ------------------------------------------------------------ NOTE: 1990 data for panel short form cases (3 in V3011) have been added to this variable. 1. ON A FARM 2. IN THE COUNTRY, NOT ON A FARM 3. IN A SMALL CITY OR TOWN (UNDER 50,000 PEOPLE) 4. IN A MEDIUM-SIZED CITY (50,000 - 100,000) 5. IN A LARGE CITY (100,000 - 500,000) 6. IN A SUBURB OF A LARGE CITY 7. IN A VERY LARGE CITY (OVER 500,000) 8. IN A SUBURB OF A VERY LARGE CITY 9. NA 0. Inap, 4 in V3011 Users using OSIRIS or SPSS beware: This variable is specified in the CPS Early Release Dictionary as having MD2=8. The correct missing data specification is MD2=9. ============================== VAR M924130 92PRE: Y52. COLUMNS 1006 - 1007 NUMERIC Y52. How long have you lived in your present (CITY/TOWN/ TOWNSHIP/COUNTY)? --------------------------------------------------------- If gave fraction of a year when the number of years was greater than 2, the fraction was dropped. Actual number of years (01-89). 00. LESS THAN SIX MONTHS 01. 6-12 MONTHS; 1 YEAR 02. 13-23 MONTHS 92. 2 years 03. 3 years 89. 89 OR MORE 90. ALL OF LIFE 98. DK 99. NA ============================== VAR M924131 92PRE: Y52a. CITY COLUMNS 1008 - 1011 NUMERIC Y52a. Where did you live before you moved here?--CITY ------------------------------------------------------ See CITY Master Code. SEE NOTE(S) 14 0001. . . 5101. 9996. FOREIGN COUNTRY given 9997. CITY not on list 9998. DK 9999. NA 0000. Inap, 03-92, 98-99 in Y52 ============================== VAR M924132 92PRE: Y52a. ST/CONTRY COLUMNS 1012 - 1014 NUMERIC Y52a. Where did you live before you moved here?--STATE OR COUNTRY ---------------------------------------------------------- See ICPSR STATE AND COUNTRY Master Code. SEE NOTE(S) 13 101. . . 997. 998. DK 999. NA 000. Inap, 03-92, 98-99 in Y52 ============================== VAR M924133 92PRE: Y52b. COLUMNS 1015 - 1016 NUMERIC Y52b. How far away is that? ---------------------------- 01. One miles or less 02. 2-4 miles 03. 5-9 miles 04. 10-19 miles 05. 20-49 miles 06. 50-99 miles 07. 100-199 miles 08. 200-499 miles 09. 500 miles or more 97. Other 98. DK 99. NA 00. Inap, 3-4, 6-7 in V3011; 03-92, 98-99 in Y52 ============================== VAR M924134 92PRE: Y53. COLUMNS 1017 - 1018 NUMERIC Y53. How long have you lived in this (house/condo/ apartment)? --------------------------------------------------- If gave fraction of a year when the number of years was greater than 2, the fraction was dropped. Actual number of years (01-89) 00. LESS THAN SIX MONTHS 01. 6-12 MONTHS; 1 YEAR 02. 13-24 MONTHS; 2 YEARS 03. 3 YEARS . . 89. 89 OR MORE 90. ALL OF LIFE 98. DK 99. NA ============================== VAR M924135 92PRE: Y54. COLUMNS 1019 - 1019 NUMERIC Y54. Do you/Does your family own your home, pay rent, or what? --------------------------------------------------------- 1. OWN 2. RENT 3. Occupancy part of financial arrangement with employer or owner 7. OTHER (SPECIFY) 8. DK 9. NA 0. Inap, 3-4 in V3011 ============================== VAR M924136 92PRE: Y55. COLUMNS 1020 - 1020 NUMERIC Y55. These are our last few questions. Do you have any children? [IWER: INCLUDE ADOPTED AND STEPCHILDREN] -------------------------------------------------------- 1. YES 2. YES, STEPCHILDREN/ADOPTED (VOLUNTEERED) 5. NO 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M924137 92PRE: Y55a. COLUMNS 1021 - 1021 NUMERIC Y55a. How many children do you have who are less than 6 years old? -------------------------------------------------------- 0. None 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 8. DK 9. NA; Inap, 3-4, 6-7 in V3011; 5, 9 in Y55 ============================== VAR M924138 92PRE: Y55b. COLUMNS 1022 - 1022 NUMERIC Y55b. How many of these live with you at least half of the time? ----------------------------------------------------------- 0. None 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 9. NA; Inap, 3-4, 6-7 in V3011; 5, 9 in Y55; 0, 8- 9 in Y55a ============================== VAR M924139 92PRE: Y55c. COLUMNS 1023 - 1023 NUMERIC Y55c. How many children do you have who are between 6 and 18 years old? ---------------------------------------------------------- 0. None 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 8. DK 9. NA; Inap, 3-4, 6-7 in V3011; 5, 9 in Y55 ============================== VAR M924140 92PRE: Y55d. COLUMNS 1024 - 1024 NUMERIC Y55d. How many of these live with you at least half of the time? ----------------------------------------------------------- 0. None 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 9. NA; Inap, 3-4, 6-7 in V3011; 5, 9 in Y55; 0, 8- 9 in Y55c ============================== VAR M924141 92PRE: Y56. COLUMNS 1025 - 1025 NUMERIC Y56. Are you responsible for raising any children other than those we just talked about? -------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 3-4, 6-7 in V3011 ============================== VAR M924142 92PRE: Y56d. COLUMNS 1026 - 1027 NUMERIC Y56d. How many of these live with you at least half of the time? ----------------------------------------------------------- 00. None 01. One 02. Two 03. Three 04. Four 05. Five 06. Six 09. Nine 98. DK 99. NA; Inap, 3-4, 6-7 in V3011; 5, 9 in Y56 ============================== VAR M924143 92PRE: Y57. COLUMNS 1028 - 1031 NUMERIC Y57. Ending Time (local)--EXACT TIME NOW ----------------------------------------- HOUR (01-24) and MINUTES (00-59) 0100. . . 2459. There are no variables in the range 4144-4200 ============================== VAR M924201 92PRE: Z1. R SEX COLUMNS 1032 - 1032 NUMERIC Z1. Respondent's sex is: ------------------------- This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. 1. MALE 2. FEMALE 9. NA ============================== VAR M924202 92PRE: Z2. R RACE COLUMNS 1033 - 1033 NUMERIC Z2. Respondent's race is: This question was not asked of respondents on the short form questionnaire. For panel short form respondents the data for this variable was copied from their 1990 Post-election responses. ------------------------------------------------------------ 1. WHITE 2. BLACK 3. AMERICAN INDIAN OR ALASKAN NATIVE 4. ASIAN OR PACIFIC ISLANDER 7. Other 9. NA 0. Inap, 4, 6-7 in V3011 ============================== VAR M924203 92PRE: Z3. COLUMNS 1034 - 1035 NUMERIC Z3. Other persons present at interview were (CHECK MORE THAN ONE BOX IF NECESSARY): -------------------------------------------------------- 00. NONE (only box checked) 01. CHILDREN UNDER 6 ONLY 02. OLDER CHILDREN ONLY 03. Children under 6 and older children 04. SPOUSE ONLY 05. " and children under 6 06. " and older children 07. " and children under 6 and older children 08. OTHER RELATIVES ONLY 09. " " and children under 6 10. " " and older children 11. " " and children under 6 and older children 12. " " and spouse 13. " " and spouse and children under 6 14. " " and spouse and older children 15. " " and spouse and children under 6 and older children 16. OTHER ADULTS ONLY 17. " " and children under 6 18. " " and older children 19. " " and children under 6 and older children 20. " " and spouse 21. " " and spouse and children under 6 22. " " and spouse and older children 23. " " and spouse and children under 6 and older children 24. " " and other relatives 25. " " and other relatives and children under 6 26. " " and other relatives and older children 27. " " and other relatives and children under 6 and older children 28. " " and other relatives and spouse 29. " " and other relatives and spouse and children under 6 30. Other adults and other relatives and spouse and children under 6 and older children (all boxes checked in interview schedule) 99. NA ============================== VAR M924204 92PRE: Z4. COLUMNS 1036 - 1036 NUMERIC Z4. Respondent's cooperation was: ---------------------------------- 1. VERY GOOD 2. GOOD 3. FAIR 4. POOR 5. VERY POOR 9. NA ============================== VAR M924205 92PRE: Z5. COLUMNS 1037 - 1037 NUMERIC Z5. Respondent's general level of information about politics and public affairs seemed: ---------------------------------------------------- 1. VERY HIGH 2. FAIRLY HIGH 3. AVERAGE 4. FAIRLY LOW 5. VERY LOW 9. NA ============================== VAR M924206 92PRE: Z6. COLUMNS 1038 - 1038 NUMERIC Z6. Rate R's apparent intelligence: ------------------------------------ 1. VERY HIGH 2. ABOVE AVERAGE 3. AVERAGE 4. BELOW AVERAGE 5. VERY LOW 9. NA ============================== VAR M924207 92PRE: Z7. COLUMNS 1039 - 1039 NUMERIC Z7. How suspicious did R seem to be about the study, before the interview? ------------------------------------------------------------ 1. NOT AT ALL SUSPICIOUS 3. SOMEWHAT SUSPICIOUS 5. VERY SUSPICIOUS 9. NA ============================== VAR M924208 92PRE: Z8. COLUMNS 1040 - 1040 NUMERIC Z8. Overall, how great was R's interest in the interview? ---------------------------------------------------------- 1. VERY HIGH 2. ABOVE AVERAGE 3. AVERAGE 4. BELOW AVERAGE 5. VERY LOW 9. NA ============================== VAR M924209 92PRE: Z9. COLUMNS 1041 - 1041 NUMERIC Z9. How sincere did R seem to be in (his/her) answers? ------------------------------------------------------- 1. COMPLETELY SINCERE 2. USUALLY SINCERE 3. OFTEN SEEMED TO BE INSINCERE 9. NA ============================== VAR M924210 92PRE: Z11. COLUMNS 1042 - 1042 NUMERIC Z11. Do you feel R reported income correctly? ---------------------------------------------- 1. YES, THINK R REPORTED CORRECTLY 2. NO, THINK R REPORTED INCORRECTLY 3. R REFUSED INCOME QUESTIONS 5. NO, THINK R REPORTED DISHONESTLY 9. NA ============================== VAR M924211 92PRE: Z11a. COLUMNS 1043 - 1044 NUMERIC Z11a. If possible, give a reasonable estimate of what R's family income is: ---------------------------------------------------------- 01. NONE OR LESS THAN $2,999 02. $3,000-$4,999 03. $5,000-$6,999 04. $7,000-$8,999 05. $9,000-$9,999 06. $10,000-$10,999 07. $11,000-$11,999 08. $12,000-$12,999 09. $13,000-$13,999 10. $14,000-$14,999 11. $15,000-$16,999 12. $17,000-$19,999 13. $20,000-$21,999 14. $22,000-$24,999 15. $25,000-$29,999 16. $30,000-$34,999 17. $35,000-$39,999 18. $40,000-$44,999 19. $45,000-$49,999 20. $50,000-$59,999 21. $60,000-$74,999 22. $75,000 AND OVER 98. IMPOSSIBLE TO ESTIMATE 99. NA 00. Inap, 1, 9 in Z11 ============================== VAR M924212 92PRE: Z12. COLUMNS 1045 - 1045 NUMERIC Z12. Was this interview conducted entirely in English, or was it necessary to translate some (or all) questions into another language? ---------------------------------------------------------- 1. INTERVIEW CONDUCTED ENTIRELY IN ENGLISH 2. SOME (OR ALL) QUESTIONS TRANSLATED INTO ANOTHER LANGUAGE 9. NA ============================== VAR M924213 92PRE: Z12a. COLUMNS 1046 - 1046 NUMERIC Z12a. What language? --------------------- 1. Spanish 4. Vietnamese 7. Other 9. NA 0. Inap, 1, 9 in Z12 ============================== VAR M924214 92PRE: Z13(1). COLUMNS 1047 - 1048 NUMERIC Z13(1). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 98. DK (V4214 only) 99. NA (V4214 only) ============================== VAR M924215 92PRE: Z13(2). COLUMNS 1049 - 1050 NUMERIC Z13(2). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924216 92PRE: Z13(3). COLUMNS 1051 - 1052 NUMERIC Z13(3). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924217 92PRE: Z13(4). COLUMNS 1053 - 1054 NUMERIC Z13(4). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924218 92PRE: Z13(5). COLUMNS 1055 - 1056 NUMERIC Z13(5). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924219 92PRE: Z13(6). COLUMNS 1057 - 1058 NUMERIC Z13(6). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924220 92PRE: Z13(7). COLUMNS 1059 - 1060 NUMERIC Z13(7). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924221 92PRE: Z13(8). COLUMNS 1061 - 1062 NUMERIC Z13(8). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924222 92PRE: Z13(9). COLUMNS 1063 - 1064 NUMERIC Z13(9). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924223 92PRE: Z13(10). COLUMNS 1065 - 1066 NUMERIC Z13(10). What was R's reaction to interview, after completion or expressed during interview? (CIRCLE CODES OF ALL THAT APPLY.) ----------------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 00. No further mention ============================== VAR M924224 92PRE: D2a. PROBE COLUMNS 1067 - 1067 NUMERIC D2a. GEORGE BUSH--Probe Indicator ---------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924225 92PRE: D2b. PROBE COLUMNS 1068 - 1068 NUMERIC D2b. Bill Clinton--Probe Indicator ----------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924226 92PRE: D2c. PROBE COLUMNS 1069 - 1069 NUMERIC D2c. Ross Perot--Probe Indicator --------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924227 92PRE: D2d. PROBE COLUMNS 1070 - 1070 NUMERIC D2d. Dan Quayle--Probe Indicator --------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924228 92PRE: D2e. PROBE COLUMNS 1071 - 1071 NUMERIC D2e. Albert Gore--Probe Indicator ---------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924229 92PRE: D2f. PROBE COLUMNS 1072 - 1072 NUMERIC D2f. Anita Hill--Probe Indicator --------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924230 92PRE: D2g. PROBE COLUMNS 1073 - 1073 NUMERIC D2g. Tom Foley--Probe Indicator -------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924231 92PRE: D2h. PROBE COLUMNS 1074 - 1074 NUMERIC D2h. Barbara Bush--Probe Indicator ----------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924232 92PRE: D2j. PROBE COLUMNS 1075 - 1075 NUMERIC D2j. Hillary Clinton--Probe Indicator -------------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924233 92PRE: D2k. PROBE COLUMNS 1076 - 1076 NUMERIC D2k. Clarence Thomas--Probe Indicator -------------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924234 92PRE: D2m. PROBE COLUMNS 1077 - 1077 NUMERIC D2m. Pat Buchanan--Probe Indicator ----------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924235 92PRE: D2n. PROBE COLUMNS 1078 - 1078 NUMERIC D2n. Jesse Jackson--Probe Indicator ------------------------------------ 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924236 92PRE: D3a. PROBE COLUMNS 1079 - 1079 NUMERIC D3a. The Democratic Party--Probe Indicator ------------------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed ============================== VAR M924237 92PRE: D3b. PROBE COLUMNS 1080 - 1080 NUMERIC D3b. The Republican Party--Probe Indicator ------------------------------------------- 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM; RQ and DK; DK and WT 7. Other probe; type of probe unclear 0. Not probed There are no variables in the range 4238-5000 ============================== VAR M925001 92POST: CASE ID COLUMNS 1081 - 1084 NUMERIC 1992 POST-ELECTION CASE ID NUMBER --------------------------------- 5001-6251. Panel respondents (there is no ID 5903) 3001-4005. Cross-section respondents 8001-8113. Panel non-interviews 7001-7121. Cross-section non-interviews ============================== VAR M925002 92POST: IW FORM COLUMNS 1085 - 1085 NUMERIC POST-ELECTION SAMPLE-FORM INDICATOR ----------------------------------- The SHORT-FORM questionnaire was intended to be used exclusively with respondents who had moved to areas where SRC doesn't have interviewing staff. Please see 3011. 1. Long Questionnaire: PANEL 2. Long Questionnaire: CROSS-SECTION 3. Short Questionnaire: PANEL 4. Short Questionnaire: CROSS-SECTION 0. Inap, no post-interview ============================== VAR M925003 92POST: IW MODE COLUMNS 1086 - 1086 NUMERIC POST-ELECTION: MODE OF INTERVIEW TELEPHONE, PERSONAL ---------------------------------------------------- The study design called for face-to-face interviews for all respondents except for a few panel respondents who had moved out of the range of SRC interviewers. See v3071 for coding of whether the respondents were in range or not. A SHORT-FORM or abbreviated questionnaire was prepared to use with these respondents over the phone. See v5002 which records use of short-form versus long- form questionnaires. Telephone interviews were in fact taken with a number of cross-section respondents and a number of panel respondents who had not moved out of range. This situation is fully described in the introduction, pp. v and in Technical Report #43, available from NES Project Staff. 1. Personal (face to face) 2. Telephone 0. INAP, no post interview ============================== VAR M925004 92POST: TIME BEGIN COLUMNS 1087 - 1090 NUMERIC A0. EXACT TIME NOW: (Beginning of interview) --------------------------------------------- Actual time using 24 HOUR CLOCK 0001. 12:01 AM . 0600. 6:00 AM . 1200. NOON . 1800. 6:00 PM . 2400. MIDNIGHT 9999. NA 0000. Inap, no post-interview ============================== VAR M925005 92POST: IW DATE, MONTH COLUMNS 1091 - 1092 NUMERIC POST-ELECTION: DATE OF INTERVIEW -- MONTH ----------------------------------------- MONTH 01. January 11. November 12. December 99. NA 00. Inap, no post-interview ============================== VAR M925006 92POST: IW DATE, DAY COLUMNS 1093 - 1094 NUMERIC POST-ELECTION: DATE OF INTERVIEW -- DAY --------------------------------------- DAY OF MONTH 01. . . 31. 99. NA 00. Inap, no post-interview ============================== VAR M925007 92POST: IWER IW # COLUMNS 1095 - 1096 NUMERIC POST-ELECTION: INTERVIEWER'S INTERVIEW NUMBER --------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. "01" is the first interview on the Post-election study taken by a particular interviewer; "02" the second, and so on. Actual NUMBER 01. . . 69. 00. Inap, no post-interview ============================== VAR M925008 92POST: IW LENGTH COLUMNS 1097 - 1099 NUMERIC POST-ELECTION: INTERVIEW LENGTH IN MINUTES ------------------------------------------ Number of minutes is coded 014. . . 195. 999. NA 000. INAP, no post interview ============================== VAR M925009 92POST: PRE/ED LEN COLUMNS 1100 - 1102 NUMERIC POST-ELECTION: LENGTH OF PRE-EDIT IN MINUTES -------------------------------------------- Number of minutes is coded 001. . . 045. 999. NA 000. INAP, no post interview ============================== VAR M925010 92POST: PST/ED LEN COLUMNS 1103 - 1105 NUMERIC POST-ELECTION: LENGTH OF POST-EDIT IN MINUTES --------------------------------------------- Number of minutes is coded 005. . . 219. 999. NA 000. INAP, no post interview ============================== VAR M925011 92POST: TOT CALLS COLUMNS 1106 - 1107 NUMERIC POST-ELECTION: TOTAL NUMBER OF CALLS ------------------------------------ If case is not an interview, this is the call number of final call. Number of calls is coded 01. . . 55. 99. NA ============================== VAR M925012 92POST: RESULT COLUMNS 1108 - 1108 NUMERIC POST-ELECTION: RESULT CODE -------------------------- 01. INTERVIEW, complete 05. INTERVIEW, partial; short questionnaire 51. NON-INTERVIEW: refusal by eligible R 52. NON-INTERVIEW: refusal by someone other than eligible R 53. NON-INTERVIEW: refusal before R selected but eligible person in HU 57. NON-INTERVIEW: refusal, DK if eligible person in HU 61. NON-INTERVIEW: no contact, eligible person in HU 62. NON-INTERVIEW: no contact, DK if eligible person in HU 63. NON-INTERVIEW: permanent condition, eligible person in HU 64. NON-INTERVIEW: permanent condition, DK if eligible person in HU 65. NON-INTERVIEW: language barrier, eligible person in HU 66. NON-INTERVIEW: language barrier, DK if eligible person in HU 67. NON-INTERVIEW: other reason, eligible person in HU 68. NON-INTERVIEW: other reason, DK if eligible person in HU 71. NONSAMPLE: house vacant (HV) 72. NONSAMPLE: seasonal vacant (SV) or seasonal occupant in residence elsewhere (SORE) 73. NONSAMPLE: occupants in residence elsewhere (ORE) 75. NONSAMPLE: unsafe/dangerous area or no access 81. NONSAMPLE: sample listing isn't proper (SLIP) 83. NONSAMPLE: vacant trailer space (VTS) 91. NONSAMPLE: no eligible respondent (NER) ============================== VAR M925013 92POST: REASON PHONE COLUMNS 1109 - 1109 NUMERIC POST-ELECTION SHORT-FORM PANEL FORM ONLY. REASONS FOR USING THE SHORT-FORM QUESTIONNAIRE: ------------------------------------------------------------ 1. Assigned to telephone by office 2. R moved out of sample 3. Other, specify 9. NA 0. Inap, no post-interview; not a short-form interview ============================== VAR M925014 92POST: NEW ADDR COLUMNS 1110 - 1110 NUMERIC POST-ELECTION: IS RESPONDENT LIVING AT SAMPLE LABEL ADDRESS? ("May I please speak with [R's name]?") ------------------------------------------------------------ 1. Yes 2. No, R no longer lives here 3. No, never heard of R 9. NA ============================== VAR M925015 92POST: OBT R NAME COLUMNS 1111 - 1111 NUMERIC POST-ELECTION, RECONTACT: WAS R's NAME OBTAINED ("What is your full legal name as it appears on official documents such as your voter's registration, Social Security card or driver's license?") ---------------------------------------------------------- 1. Name obtained 5. Name not obtained 9. NA 0. INAP, no post interview ============================== VAR M925016 92POST: ADDR SAME COLUMNS 1112 - 1112 NUMERIC POST-ELECTION, RECONTACT: INTERVIEWER CHECKPOINT: ADDRESS OBTAINED ("What is your address?") --------------------------------------------------------- 1. Identical to sample label address 2. Corrected version of sample label address 3. Different from sample label 9. NA 0. INAP, no post interview ============================== VAR M925017 92POST: ADDR DIFF COLUMNS 1113 - 1113 NUMERIC POST-ELECTION, RECONTACT: IF ADDRESS GIVEN IS DIFFERENT FROM SAMPLE LABEL: "Is this an address you will be moving to, a relative's address, the address of a friend, a business address, or what?" ---------------------------------------------------------- Note: because the codes provided on the coversheet did not include a category for addresses to which R has already moved, such cases were often placed in code 7 by interviewers. 1. Mailing address 2. Address to which R is moving 3. Relative 4. Friend 5. Business 7. Other 9. NA 0. INAP, no post interview; address not different or NA if different from sample label ============================== VAR M925018 92POST: OBT TEL # COLUMNS 1114 - 1114 NUMERIC POST-ELECTION, RECONTACT: WAS R'S PHONE NUMBER OBTAINED? ("And what is your telephone number?)" --------------------------------------------------------- 1. Telephone number obtained 5. R has no phone 7. Phone number refused 9. NA 0. INAP, no post interview ============================== VAR M925019 92POST: TEL IN DIR COLUMNS 1115 - 1115 NUMERIC POST-ELECTION, RECONTACT: "Is your phone number listed in the current directory?" ---------------------------------------------------------- 1. Yes, listed 5. No, not listed 8. Not sure, don't know 9. NA 0. INAP, no post interview; R has no phone or phone number refused/NA 5,7,9 in 5018 ============================== VAR M925020 92POST: TEL IN R NAM COLUMNS 1116 - 1116 NUMERIC POST-ELECTION, RECONTACT: "Is your phone listed in your name?" ------------------------------------------------------- 1. Yes (listed in R's name) 5. No (not listed in R's name) 8. Not sure 9. NA 0. INAP, no post interview; R has no phone or phone number refused/NA 5,7,9 in 5018; number not listed/DK/NA if listed 5,8,9 in 5019 ============================== VAR M925021 92POST: OTHER HOME COLUMNS 1117 - 1117 NUMERIC POST-ELECTION, RECONTACT: "Do you have another place of residence or somewhere else you live during different times of the year?" ----------------------------------------------------------- 1. Yes (R has another residence) 5. No (no other residence) 9. NA 0. INAP, no post interview ============================== VAR M925022 92POST: ADDR RECON COLUMNS 1118 - 1118 NUMERIC POST-ELECTION, RECONTACT: "If for any reason we should have difficulty contacting you, could you give me the name, address, and telephone number of two close friends or relatives who do not live with you and will know how to get in touch with you?" ------------------------------------------------------------ 1. R gave contact information 5. R did not give contact information 9. NA 0. INAP, no post interview ============================== VAR M925023 92POST: REF CONV IND COLUMNS 1119 - 1119 NUMERIC POST-ELECTION: REFUSAL CONVERSION INDICATOR ------------------------------------------- This refers to interviews initially refused by the respondent. 0. Not a refusal conversion situation 1. Refusal conversion (noninterviews: attempt to convert) ============================== VAR M925024 92POST: PERS LETTR COLUMNS 1120 - 1120 NUMERIC POST-ELECTION: PERSUASION LETTER REQUESTED ------------------------------------------ Interviewers ask their supervisor to mail a "persuasion letter" to the prospective R, when faced with resistance to cooperate. 1. Yes 5. No 9. NA ============================== VAR M925025 92POST: R PMT OFF COLUMNS 1121 - 1122 NUMERIC POST-ELECTION: RESPONDENT PAYMENT OFFERED--AMOUNT ------------------------------------------------- Interviewers were authorized to offer payment to reluctant respondents in order to insure their cooperation. The amount offered was left to the interviewer's discretion. 005. $5 offered as respondent payment 010. $10 offered as respondent payment 015. $15 offered as respondent payment 020. $20 offered as respondent payment 025. $25 offered as respondent payment 030. $30 offered as respondent payment 998. Respondent payment offered, NA how much 000. INAP, no respondent payment offered ============================== VAR M925026 92POST: R PMT PAID COLUMNS 1123 - 1124 NUMERIC POST-ELECTION: RESPONDENT PAYMENT PAID--AMOUNT ---------------------------------------------- 005. $5 paid as respondent payment 010. $10 paid as respondent payment 015. $15 paid as respondent payment 020. $20 paid as respondent payment 025. $25 offered as respondent payment 040. $40 offered as respondent payment 998. Respondent payment paid, NA how much 000. INAP, no respondent payment paid ============================== VAR M925027 92POST: INIT REF COLUMNS 1125 - 1125 NUMERIC POST-ELECTION, CONTACT DESCRIPTION: DID R REFUSE INITIALLY? ------------------------------------------------------------ 1. Yes 5. No 9. NA 0. INAP, no contact with R ============================== VAR M925028 92POST: BREAK APPT COLUMNS 1126 - 1126 NUMERIC POST-ELECTION, CONTACT DESCRIPTION: DID R BREAK ANY APPOINTMENTS? ---------------------------------------------------- 0. None 1. One 2. Two or more 9. NA; INAP, no contact with R ============================== VAR M925029 92POST: WASTE TIME COLUMNS 1127 - 1127 NUMERIC POST-ELECTION, CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: A. SURVEYS ARE A WASTE OF TIME ----------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925030 92POST: VERY ILL COLUMNS 1128 - 1128 NUMERIC B. VERY ILL. ----------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925031 92POST: TOO BUSY COLUMNS 1129 - 1129 NUMERIC C. TOO BUSY. ----------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925032 92POST: FAM SITUAT COLUMNS 1130 - 1130 NUMERIC D. STRESSFUL FAMILY SITUATION ------------------------------------------------------------ 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925033 92POST: CONFIDENTL COLUMNS 1131 - 1131 NUMERIC E. CONFIDENTIALITY. ------------------------------------------------------------ 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925034 92POST: PRIVACY COLUMNS 1132 - 1132 NUMERIC F. INVASION OF PRIVACY. ------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925035 92POST: RESIS OTHR COLUMNS 1133 - 1133 NUMERIC H. OTHER REASON (SPECIFY). -------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no contact with R was made ============================== VAR M925036 92POST: IWER ID # COLUMNS 1134 - 1137 NUMERIC POST-ELECTION: INTERVIEWER'S ID NUMBER -------------------------------------- Actual number is coded 1020. . . 9628. ============================== VAR M925037 92POST: SUPERVSOR ID COLUMNS 1138 - 1141 NUMERIC POST-ELECTION: SUPERVISOR'S ID NUMBER ------------------------------------- Actual number is coded 2576. . . 9958. ============================== VAR M925038 92POST: IWER RACE COLUMNS 1142 - 1142 NUMERIC POST-ELECTION: INTERVIEWER'S RACE --------------------------------- 1. White 2. Black 3. Native American 4. Asian 7. Other 9. NA ============================== VAR M925039 92POST: IWER ETHNICITY COLUMNS 1143 - 1143 NUMERIC POST-ELECTION: INTERVIEWER'S ETHNICITY -------------------------------------- 0. Non-ethnic 1. Hispanic 7. Other 9. NA ============================== VAR M925040 92POST: IWER AGE BRACK COLUMNS 1144 - 1144 NUMERIC POST-ELECTION: INTERVIEWER'S AGE BRACKETED ------------------------------------------ 1. 18-34 years 2. 35-40 3. 41-45 4. 46-50 5. 51-55 6. 56-60 7. 61-64 8. 65-79 9. NA ============================== VAR M925041 92POST: IWER YRS EXPER COLUMNS 1145 - 1146 NUMERIC POST-ELECTION: INTERVIEWER'S YEARS OF EXPERIENCE -- up to September 1, 1992 --------------------------------------------------------- 00. Less than one year . . 33. Thirty-three years 99. NA ============================== VAR M925042 92POST: IWER GENDER COLUMNS 1147 - 1147 NUMERIC POST-ELECTION: INTERVIEWER'S GENDER ----------------------------------- 1. Male 2. Female 9. NA ============================== VAR M925043 92POST: IWER ED BRACK COLUMNS 1148 - 1148 NUMERIC POST-ELECTION: INTERVIEWER'S EDUCATION -------------------------------------- 1. Some high school/HS Diploma/equivalency 2. Some College 3. College: degree at Bachelor's level or greater 9. NA There are no variables in range 5044-5100 ============================== VAR M925101 92POST: ICPSR & CD outs COLUMNS 1149 - 1152 NUMERIC ICPSR State and Congressional District for Respondent who voted outside of sample address --------------------------------------------------------- Some respondents voted in congressional districts other than the district associated with their sample address. Whenever the study staff was able to determine the congressional district where R voted, the information was recorded in this variable. 0104. . . 7307. 0000. Inap, no post-interview; R voted at sample address; no additional state and CD written in ============================== VAR M925102 92POST: A1. INTERST CM COLUMNS 1153 - 1153 NUMERIC A1. Some people don't pay much attention to political campaigns. How about you? Would you say that you were very much interested, somewhat interested, or not much interested in following the political campaigns this year? ------------------------------------------------------------ 1. VERY MUCH INTERESTED 3. SOMEWHAT INTERESTED 5. NOT MUCH INTERESTED 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925103 92POST: A2. COLUMNS 1154 - 1154 NUMERIC A2. Did you watch any programs about the campaigns on television? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925104 92POST: A2a. COLUMNS 1155 - 1155 NUMERIC A2a. (RB, P. 1) Would you say you watched a good many, several, or just one or two? ------------------------------------------------------- 1. A GOOD MANY 2. SEVERAL 3. JUST ONE OR TWO 5. NONE 8. DK 9. NA 0. Inap, no post-interview; 5, 8-9 in A2 ============================== VAR M925105 92POST: A3. DISCUSS POL COLUMNS 1156 - 1156 NUMERIC A3. Do you ever discuss politics with your family or friends? ----------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925106 92POST: A3a. COLUMNS 1157 - 1157 NUMERIC A3a. (RB, P. 2) How often do you discuss politics with your family or friends -- every day, 3 or 4 times a week, once or twice a week, or less often than that? ------------------------------------------------------------ 1. EVERY DAY 2. 3 OR 4 TIMES A WEEK 3. ONCE OR TWICE A MONTH 4. LESS OFTEN 5. R VOLUNTEERS: NEVER 8. DK 9. NA 0. Inap, no post-interview; 5, 8-9 in A3 ============================== VAR M925107 92POST: A3b. COLUMNS 1158 - 1158 NUMERIC A3b. How many days in the past week did you talk about politics with family or friends? ------------------------------------------------------- NUMBER OF DAYS 0. NONE 1. ONE 2. TWO 3. THREE 4. FOUR 5. FIVE 6. SIX 7. SEVEN 8. DON'T KNOW 9. NA; Inap, no post-interview; 5, 8-9 in A3; 5, 9 in A3a ============================== VAR M925108 92POST: A4. CARE ELECT COLUMNS 1159 - 1159 NUMERIC Throughout the post-election questionnaire, whenever the term "incumbents" is used in the documentation or questionnaire , we are referring to a representative who was a member of the 102nd Congress, i.e, prior to the 1992 General election. Due to the U.S. Census based redistricting, the incumbents district for the 103rd Congress may consist of a fairly different geographical area from the area covered by the district prior to the boundary changes. Therefore, the "incumbent" may or may not have been the respondent's district's incumbent before 1992. An additional complication is that a panel respondent may have moved since we interviewed them in 1990, or pre-election respondents may have moved between the pre- and the post-election interview. Unless stated otherwise survey questions always refer to R's original locations. A4. As you know, representatives to Congress in Washington were chosen in this election from congressional districts all around the country. How much would you say that you personally cared about the way the election to the U.S. House of Representatives came out: did you care very much, pretty much, not very much, or not at all? ------------------------------------------------------------ 1. VERY MUCH 2. PRETTY MUCH 4. NOT VERY MUCH 5. NOT AT ALL 8. DK 9. NA 0. Inap, no post-interview; 3, 4 in V5002 ============================== VAR M925109 92POST: A5. RECALL HSE COLUMNS 1160 - 1160 NUMERIC A5. Do you happen to remember the names of the candidates for congress--that is, for the House of Representatives in Washington--who ran in this district this November? ---------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, no post-interview; 3, 4 in V5002 ============================== VAR M925110 92POST: A5a1. COLUMNS 1161 - 1162 NUMERIC A5a(1). Who were they? (PROBE: Any others?) ------------------------------------------------------- Senatorial Candidates or Senators Mentioned: 11. DEMOCRATIC CANDIDATE TO SENATE* 12. REPUBLICAN CANDIDATE TO SENATE* 13. DEMOCRATIC INCUMBENT TO SENATE* 93. DEMOCRATIC CANDIDATE IN SECOND RACE* 94. REPUBLICAN CANDIDATE IN SECOND RACE* 14. REPUBLICAN INCUMBENT TO SENATE* 15. DEMOCRATIC CHALLENGER TO SENATE* 16. REPUBLICAN CHALLENGER TO SENATE* 17. FIRST DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 18. FIRST REPUBLICAN SENATOR IN STATE WITHOUT RACE* 19. DEMOCRATIC SENATOR NOT UP* 21. "RETIRING" DEMOCRATIC SENATOR* 22. "RETIRING" REPUBLICAN SENATOR* 27. SECOND DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 28. SECOND REPUBLICAN SENATOR IN STATE WITHOUT RACE* 29. REPUBLICAN SENATOR NOT UP* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE (incl. Republican candidate for LA06--see LA06 note in V3021. Use V3021=45 to exclude these cases.) 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 51. DEMOCRATIC CANDIDATE IN OPEN RACE* 52. REPUBLICAN CANDIDATE IN OPEN RACE* 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION* 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION* 55. DEMOCRATIC CHALLENGER* 56. REPUBLICAN CHALLENGER* 57. DEMOCRATIC GOVERNOR, NO RACE IN STATE* 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 61. "RETIRING" DEMOCRATIC GOVERNOR* 62. "RETIRING" REPUBLICAN GOVERNOR* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention *If a senator or senatorial candidate, if a governor or gubernatorial candidate, or if a non-running ("retiring") House Representative was mentioned in error at A5a, the candidate or officeholder named was coded. Built variables A5aa (code 7) and A5x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925111 92POST: A5b1. COLUMNS 1163 - 1163 NUMERIC A5b(1). (ASK FOR EACH NAME IN A5a) What was (NAME's) party? <1st mention> ------------------------------------------------------------ 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925112 92POST: A5aa1. COLUMNS 1164 - 1164 NUMERIC A5aa(1). Who were they? -------------------------------------------------------- Built from A5a(#1)/A5a(#2)/A5a(#3) 1. DEMOCRATIC CANDIDATE (31, 33, 35, exc. LA06) 2. REPUBLICAN CANDIDATE (32, 34, 36, also 31 in LA06) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 21, 22, 27-29, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK NAME AND DK/NA PARTY; NA 0. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925113 92POST: A5x1. COLUMNS 1165 - 1165 NUMERIC A5x(1). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's congressional district. <1st mention> ----------------------------------------------------------- See note preceding V5108 Built from A5a(#1) & A5b(#1) / A5a(#2) & A5b(#2) / A5a(#3) & A5b(#3) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 3, 4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925114 92POST: A5a2. COLUMNS 1166 - 1167 NUMERIC A5a(2). Who were they? (PROBE: Any others?) ------------------------------------------------------- Senatorial Candidates or Senators Mentioned: 11. DEMOCRATIC CANDIDATE TO SENATE* 12. REPUBLICAN CANDIDATE TO SENATE* 93. DEMOCRATIC CANDIDATE IN SECOND RACE* 94. REPUBLICAN CANDIDATE IN SECOND RACE* 13. DEMOCRATIC INCUMBENT TO SENATE* 14. REPUBLICAN INCUMBENT TO SENATE* 15. DEMOCRATIC CHALLENGER TO SENATE* 16. REPUBLICAN CHALLENGER TO SENATE* 17. FIRST DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 18. FIRST REPUBLICAN SENATOR IN STATE WITHOUT RACE* 19. DEMOCRATIC SENATOR NOT UP* 21. "RETIRING" DEMOCRATIC SENATOR* 22. "RETIRING" REPUBLICAN SENATOR* 27. SECOND DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 28. SECOND REPUBLICAN SENATOR IN STATE WITHOUT RACE* 29. REPUBLICAN SENATOR NOT UP* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE (incl. Republican candidate for LA06--see LA06 note in V3021. Use V3021=45 to exclude these cases.) 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Resentative: 33. DEMOCRATIC INCUMBENT 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 51. DEMOCRATIC CANDIDATE IN OPEN RACE* 52. REPUBLICAN CANDIDATE IN OPEN RACE* 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION* 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION* 55. DEMOCRATIC CHALLENGER* 56. REPUBLICAN CHALLENGER* 57. DEMOCRATIC GOVERNOR, NO RACE IN STATE* 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 61. "RETIRING" DEMOCRATIC GOVERNOR* 62. "RETIRING" REPUBLICAN GOVERNOR* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention *If a senator or senatorial candidate, if a governor or gubernatorial candidate, or if a non-running ("retiring") House Representative was mentioned in error at A5a, the candidate or officeholder named was coded. Built variables A5aa (code 7) and A5x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925115 92POST: A5b2. COLUMNS 1168 - 1168 NUMERIC A5b(2). (ASK FOR EACH NAME IN A5a) What was (NAME's) party? <2nd mention> ------------------------------------------------------------ 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925116 92POST: A5aa2. COLUMNS 1169 - 1169 NUMERIC A5aa(2). Who were they? -------------------------------------------------------- Built from A5a(#1)/A5a(#2)/A5a(#3) 1. DEMOCRATIC CANDIDATE (31, 33, 35, exc. LA06) 2. REPUBLICAN CANDIDATE (32, 34, 36, also 31 in LA06) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 21, 22, 27-29, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK NAME AND DK/NA PARTY; NA 0. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925117 92POST: A5x2. COLUMNS 1170 - 1170 NUMERIC A5x(2). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's congressional district. <2nd mention> ----------------------------------------------------------- See note preceding V5108 Built from A5a(#1) & A5b(#1) / A5a(#2) & A5b(#2) / A5a(#3) & A5b(#3) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 3, 4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925118 92POST: A5a3. COLUMNS 1171 - 1172 NUMERIC A5a(3). Who were they? (PROBE: Any others?) ------------------------------------------------------- Senatorial Candidates or Senators Mentioned: 11. DEMOCRATIC CANDIDATE TO SENATE* 12. REPUBLICAN CANDIDATE TO SENATE* 93. DEMOCRATIC CANDIDATE IN SECOND RACE* 94. REPUBLICAN CANDIDATE IN SECOND RACE* 13. DEMOCRATIC INCUMBENT TO SENATE* 14. REPUBLICAN INCUMBENT TO SENATE* 15. DEMOCRATIC CHALLENGER TO SENATE* 16. REPUBLICAN CHALLENGER TO SENATE* 17. FIRST DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 18. FIRST REPUBLICAN SENATOR IN STATE WITHOUT RACE* 19. DEMOCRATIC SENATOR NOT UP* 21. "RETIRING" DEMOCRATIC SENATOR* 22. "RETIRING" REPUBLICAN SENATOR* 27. SECOND DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 28. SECOND REPUBLICAN SENATOR IN STATE WITHOUT RACE* 29. REPUBLICAN SENATOR NOT UP* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE (incl. Republican candidate for LA06--see LA06 note in V3021. Use V3021=45 to exclude these cases.) 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 51. DEMOCRATIC CANDIDATE IN OPEN RACE* 52. REPUBLICAN CANDIDATE IN OPEN RACE* 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION* 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION* 55. DEMOCRATIC CHALLENGER* 56. REPUBLICAN CHALLENGER* 57. DEMOCRATIC GOVERNOR, NO RACE IN STATE* 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 61. "RETIRING" DEMOCRATIC GOVERNOR* 62. "RETIRING" REPUBLICAN GOVERNOR* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention *If a senator or senatorial candidate, if a governor or gubernatorial candidate, or if a non-running ("retiring") House Representative was mentioned in error at A5a, the candidate or officeholder named was coded. Built variables A5aa (code 7) and A5x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925119 92POST: A5b3. COLUMNS 1173 - 1173 NUMERIC A5b(3). (ASK FOR EACH NAME IN A5a) What was (NAME's) party? <3rd mention> ------------------------------------------------------------ 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925120 92POST: A5aa3. COLUMNS 1174 - 1174 NUMERIC A5aa(3). Who were they? --------------------------------------------------------- Built from A5a(#1)/A5a(#2)/A5a(#3) 1. DEMOCRATIC CANDIDATE (31, 33, 35, exc. LA06) 2. REPUBLICAN CANDIDATE (32, 34, 36, also 31 in LA06) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 21, 22, 27-29, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK NAME AND DK/NA PARTY; NA 0. Inap, no post-interview; 3,4 in V5002; 5 or 9 in A5; no further mention ============================== VAR M925121 92POST: A5x3. COLUMNS 1175 - 1175 NUMERIC A5x(3). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's congressional district. <3rd mention> ----------------------------------------------------------- See note preceding V5108 Built from A5a(#1) & A5b(#1) / A5a(#2) & A5b(#2) / A5a(#3) & A5b(#3) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 3, 4 in V5002; 5 or 9 in A5; no further mention There are no variables in range 5122-5200 ============================== VAR M925201 92POST: A6. CHECKPOINT COLUMNS 1176 - 1176 NUMERIC A6. INTERVIEWER CHECKPOINT --------------------------- 1. U.S. SENATE RACE IN STATE: EXCEPT CA (CANDIDATE LIST INCLUDES AT LEAST ONE NAME FROM #11-#16) (01, 04, 13-14, 21-22, 24-25, 31-32, 34, 41-45, 47, 52, 61-62, 72-73 in V3017) 2. CALIFORNIA (71 in V3017) 3. ALL OTHERS (03, 12, 23, 33, 35, 40, 49, 54, 56, 68 in V3017) 0. Inap, no post-interview ============================== VAR M925202 92POST: A7. RECALL SEN COLUMNS 1177 - 1177 NUMERIC A7. And how about the candidates who ran in this state for the United States Senate in Washington? Do you happen to remember what the candidates' names were? ----------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, no post-interview; 2-3 in A6; 81, 82, 85, 95 in V3022 ============================== VAR M925203 92POST: A7a1. COLUMNS 1178 - 1179 NUMERIC A7a(1). Who were they? (PROBE: Any others?) -------------------------------------------------------- Precoded in box by interviewer Senatorial Candidates or Senators Mentioned: 11. DEMOCRATIC CANDIDATE TO SENATE 12. REPUBLICAN CANDIDATE TO SENATE 13. DEMOCRATIC INCUMBENT TO SENATE 14. REPUBLICAN INCUMBENT TO SENATE 15. DEMOCRATIC CHALLENGER TO SENATE 16. REPUBLICAN CHALLENGER TO SENATE 17. FIRST DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 18. FIRST REPUBLICAN SENATOR IN STATE WITHOUT RACE* 19. DEMOCRATIC SENATOR NOT UP* 21. "RETIRING" DEMOCRATIC SENATOR* 22. "RETIRING" REPUBLICAN SENATOR* 27. SECOND DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 28. SECOND REPUBLICAN SENATOR IN STATE WITHOUT RACE* 29. REPUBLICAN SENATOR NOT UP* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* Gubernatorial Candidates Mentioned: 51. DEMOCRATIC CANDIDATE IN OPEN RACE* 52. REPUBLICAN CANDIDATE IN OPEN RACE* 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION* 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION* 55. DEMOCRATIC CHALLENGER* 56. REPUBLICAN CHALLENGER* 57. DEMOCRATIC GOVERNOR, NO RACE IN STATE* 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 61. "RETIRING" DEMOCRATIC GOVERNOR* 62. "RETIRING" REPUBLICAN GOVERNOR* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; no further mention *If a House Representative or candidate, if a governor or gubernatorial candidate, or if a non-running Senator was mentioned in error at A7a, the candidate or officeholder named was coded. Built variables A7aa (code 7) and A7x (codes 4,5) assigned these cases to "name given not on candidate list for that race," or "invalid candidate name given." ============================== VAR M925204 92POST: A7b1. COLUMNS 1180 - 1180 NUMERIC A7b(1). (ASK FOR EACH NAME IN A7a) What was (NAME's) party? <1st mention> ------------------------------------------------------------ 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925205 92POST: A7aa1. COLUMNS 1181 - 1181 NUMERIC A7aa(1). Who were they? --------------------------------------------------------- Built from A7a(1) 1. DEMOCRATIC CANDIDATE (11, 13, 15) 2. REPUBLICAN CANDIDATE (12, 14, 16) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (19, 21, 22, 29, 31-36, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK name and DK/NA party (per V5204); NA 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925206 92POST: A7x1. COLUMNS 1182 - 1182 NUMERIC A7x(1). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence. <1st mention> ----------------------------------------------------------- See note preceding V5108 Built from V5203 & V5204 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925207 92POST: A7a2. COLUMNS 1183 - 1184 NUMERIC A7a(2). Who were they? (PROBE: Any others?) -------------------------------------------------------- Precoded in box by interviewer Senatorial Candidates or Senators Mentioned: 11. DEMOCRATIC CANDIDATE TO SENATE 12. REPUBLICAN CANDIDATE TO SENATE 13. DEMOCRATIC INCUMBENT TO SENATE 14. REPUBLICAN INCUMBENT TO SENATE 15. DEMOCRATIC CHALLENGER TO SENATE 16. REPUBLICAN CHALLENGER TO SENATE 17. FIRST DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 18. FIRST REPUBLICAN SENATOR IN STATE WITHOUT RACE* 19. DEMOCRATIC SENATOR NOT UP* 21. "RETIRING" DEMOCRATIC SENATOR* 22. "RETIRING" REPUBLICAN SENATOR* 27. SECOND DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 28. SECOND REPUBLICAN SENATOR IN STATE WITHOUT RACE* 29. REPUBLICAN SENATOR NOT UP* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* Gubernatorial Candidates Mentioned: 51. DEMOCRATIC CANDIDATE IN OPEN RACE* 52. REPUBLICAN CANDIDATE IN OPEN RACE* 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION* 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION* 55. DEMOCRATIC CHALLENGER* 56. REPUBLICAN CHALLENGER* 57. DEMOCRATIC GOVERNOR, NO RACE IN STATE* 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 61. "RETIRING" DEMOCRATIC GOVERNOR* 62. "RETIRING" REPUBLICAN GOVERNOR* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; no further mention *If a House Representative or candidate, if a governor or gubernatorial candidate, or if a non-running Senator was mentioned in error at A7a, the candidate or officeholder named was coded. Built variables A7aa (code 7) and A7x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925208 92POST: A7b2. COLUMNS 1185 - 1185 NUMERIC A7b(2). (ASK FOR EACH NAME IN A7a) What was (NAME's) party? <2nd mention> ------------------------------------------------------------ 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925209 92POST: A7aa2. COLUMNS 1186 - 1186 NUMERIC A7aa(2). Who were they? --------------------------------------------------------- Built from A7a(2) 1. DEMOCRATIC CANDIDATE (11, 13, 15) 2. REPUBLICAN CANDIDATE (12, 14, 16) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (19, 21, 22, 29, 31-36, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK name and DK/NA party (per V5204); NA 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925210 92POST: A7x2. COLUMNS 1187 - 1187 NUMERIC A7x(2). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence. <2nd mention> ----------------------------------------------------------- See note preceding V5108 Built from V5208 & V5209 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925211 92POST: A7a3. COLUMNS 1188 - 1189 NUMERIC A7a(3). Who were they? (PROBE: Any others?) -------------------------------------------------------- Precoded in box by interviewer Senatorial Candidates or Senators Mentioned: 11. DEMOCRATIC CANDIDATE TO SENATE 12. REPUBLICAN CANDIDATE TO SENATE 13. DEMOCRATIC INCUMBENT TO SENATE 14. REPUBLICAN INCUMBENT TO SENATE 15. DEMOCRATIC CHALLENGER TO SENATE 16. REPUBLICAN CHALLENGER TO SENATE 17. FIRST DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 18. FIRST REPUBLICAN SENATOR IN STATE WITHOUT RACE* 19. DEMOCRATIC SENATOR NOT UP* 21. "RETIRING" DEMOCRATIC SENATOR* 22. "RETIRING" REPUBLICAN SENATOR* 27. SECOND DEMOCRATIC SENATOR IN STATE WITHOUT RACE* 28. SECOND REPUBLICAN SENATOR IN STATE WITHOUT RACE* 29. REPUBLICAN SENATOR NOT UP* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* Gubernatorial Candidates Mentioned: 51. DEMOCRATIC CANDIDATE IN OPEN RACE* 52. REPUBLICAN CANDIDATE IN OPEN RACE* 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION* 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION* 55. DEMOCRATIC CHALLENGER* 56. REPUBLICAN CHALLENGER* 57. DEMOCRATIC GOVERNOR, NO RACE IN STATE* 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 61. "RETIRING" DEMOCRATIC GOVERNOR* 62. "RETIRING" REPUBLICAN GOVERNOR* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; no further mention *If a House Representative or candidate, if a governor or gubernatorial candidate, or if a non-running Senator was mentioned in error at A7a, the candidate or officeholder named was coded. Built variables A7aa (code 7) and A7x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925212 92POST: A7b3. COLUMNS 1190 - 1190 NUMERIC A7b(3). (ASK FOR EACH NAME IN A7a) What was (NAME's) party? <3rd mention> ------------------------------------------------------------ 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925213 92POST: A7aa3. COLUMNS 1191 - 1191 NUMERIC A7aa(3). Who were they? --------------------------------------------------------- Built from A7a(3) 1. DEMOCRATIC CANDIDATE (11, 13, 15) 2. REPUBLICAN CANDIDATE (12, 14, 16) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (19, 21, 22, 29, 31-36, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK name and DK/NA party (per V5204); NA 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925214 92POST: A7x3. COLUMNS 1192 - 1192 NUMERIC A7x(3). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence. <3rd mention> ----------------------------------------------------------- See note preceding V5108 Built from V5211 & V5212 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 2-3 in A6; 5, 9 in A7; 81, 82, 85, 95 in V3022; no further mention ============================== VAR M925215 92POST: A8. COLUMNS 1193 - 1193 NUMERIC A8. As you know, there were two Senate races in California this year. Do you happen to remember what the candidates' names were? ----------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, no post-interview; 1, 3 in A6; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017 ============================== VAR M925216 92POST: A8a1. COLUMNS 1194 - 1195 NUMERIC A8a(1). Who were they? (PROBE: Any others?)--CALIFORNIA -------------------------------------------------------- Precoded in box by interviewer 11. DEMOCRATIC CANDIDATE 93. (11a) DEMOCRATIC CANDIDATE IN SECOND RACE 12. REPUBLICAN CANDIDATE 94. (14a) REPUBLICAN CANDIDATE IN SECOND RACE 21. "RETIRING" DEMOCRATIC SENATOR* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* CA Governor Mentioned: 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 1, 3 in A6, 5, 9 in A8; no further mention *If a House Representative or candidate, or if a governor was mentioned in error at A8a, the candidate or officeholder named was coded. Built variables A8aa (code 7) and A8x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925217 92POST: A8b1. COLUMNS 1196 - 1196 NUMERIC A8b(1). (ASK FOR EACH NAME IN A8a) What was (NAME's) party?--CALIFORNIA <1st mention> ----------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925218 92POST: A8aa1. COLUMNS 1197 - 1197 NUMERIC A8aa(1). Who were they?--CALIFORNIA ------------------------------------------------------------ Built from A8a(1) 1. DEMOCRATIC CANDIDATE (11, 93 [11a]) 2. REPUBLICAN CANDIDATE (12, 94 [14a]) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (21, 31-36, 41, 42, 58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. DK name and DK/NA party; NA (99) 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925219 92POST: A8x1. COLUMNS 1198 - 1198 NUMERIC A8x(1). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence--CALIFORNIA. <1st mention> ----------------------------------------------------------- See box preceding V5108 Built from A8a(1) & A8b(#1) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925220 92POST: A8a2. COLUMNS 1199 - 1200 NUMERIC A8a(2). Who were they? (PROBE: Any others?)--CALIFORNIA -------------------------------------------------------- Precoded in box by interviewer 11. DEMOCRATIC CANDIDATE 93. (11a) DEMOCRATIC CANDIDATE IN SECOND RACE 12. REPUBLICAN CANDIDATE 94. (14a) REPUBLICAN CANDIDATE IN SECOND RACE 21. "RETIRING" DEMOCRATIC SENATOR* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* CA Governor Mentioned: 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 1, 3 in A6, 5, 9 in A8; no further mention *If a House Representative or candidate, or if a governor was mentioned in error at A8a, the candidate or officeholder named was coded. Built variables A8aa (code 7) and A8x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925221 92POST: A8b2. COLUMNS 1201 - 1201 NUMERIC A8b(2). (ASK FOR EACH NAME IN A8a) What was (NAME's) party?--CALIFORNIA <2nd mention> ----------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925222 92POST: A8aa2. COLUMNS 1202 - 1202 NUMERIC A8aa(2). Who were they?--CALIFORNIA ------------------------------------------------------------ Built from A8a(2) 1. DEMOCRATIC CANDIDATE (11, 93 [11a]) 2. REPUBLICAN CANDIDATE (12, 94 [14a]) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (21, 31-36, 41, 42, 58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. DK name and DK/NA party; NA (99) 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925223 92POST: A8x2. COLUMNS 1203 - 1203 NUMERIC A8x(2). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence--CALIFORNIA. <2nd mention> ----------------------------------------------------------- See box preceding V5108 Built from A8a(2) & A8b(2) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925224 92POST: A8a3. COLUMNS 1204 - 1205 NUMERIC A8a(3). Who were they? (PROBE: Any others?)--CALIFORNIA -------------------------------------------------------- Precoded in box by interviewer 11. DEMOCRATIC CANDIDATE 93. (11a) DEMOCRATIC CANDIDATE IN SECOND RACE 12. REPUBLICAN CANDIDATE 94. (14a) REPUBLICAN CANDIDATE IN SECOND RACE 21. "RETIRING" DEMOCRATIC SENATOR* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* CA Governor Mentioned: 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 1, 3 in A6, 5, 9 in A8; no further mention *If a House Representative or candidate, or if a governor was mentioned in error at A8a, the candidate or officeholder named was coded. Built variables A8aa (code 7) and A8x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925225 92POST: A8b3. COLUMNS 1206 - 1206 NUMERIC A8b(3). (ASK FOR EACH NAME IN A8a) What was (NAME's) party?--CALIFORNIA <3rd mention> ----------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925226 92POST: A8aa3. COLUMNS 1207 - 1207 NUMERIC A8aa(3). Who were they?--CALIFORNIA ------------------------------------------------------------ Built from A8a(3) 1. DEMOCRATIC CANDIDATE (11, 93 [11a]) 2. REPUBLICAN CANDIDATE (12, 94 [14a]) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (21, 31-36, 41, 42, 58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. DK name and DK/NA party; NA (99) 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925227 92POST: A8x3. COLUMNS 1208 - 1208 NUMERIC A8x(3). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence--CALIFORNIA. <3rd mention> ----------------------------------------------------------- See box preceding V5108 Built from A8a(3) & A8b(3) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925228 92POST: A8a4. COLUMNS 1209 - 1210 NUMERIC A8a(4). Who were they? (PROBE: Any others?)--CALIFORNIA -------------------------------------------------------- Precoded in box by interviewer 11. DEMOCRATIC CANDIDATE 93. (11a) DEMOCRATIC CANDIDATE IN SECOND RACE 12. REPUBLICAN CANDIDATE 94. (14a) REPUBLICAN CANDIDATE IN SECOND RACE 21. "RETIRING" DEMOCRATIC SENATOR* For Districts with No Running Incumbents: 31. DEMOCRATIC CANDIDATE* 32. REPUBLICAN CANDIDATE* 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT* 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT* For Districts with Running Incumbent Representative: 33. DEMOCRATIC INCUMBENT* 34. REPUBLICAN INCUMBENT* 35. DEMOCRATIC CHALLENGER* 36. REPUBLICAN CHALLENGER* CA Governor Mentioned: 58. REPUBLICAN GOVERNOR, NO RACE IN STATE* 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. Inap, no post-interview; 1, 3 in A6, 5, 9 in A8; no further mention *If a House Representative or candidate, or if a governor was mentioned in error at A8a, the candidate or officeholder named was coded. Built variables A8aa (code 7) and A8x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." ============================== VAR M925229 92POST: A8b4. COLUMNS 1211 - 1211 NUMERIC A8b(4). (ASK FOR EACH NAME IN A8a) What was (NAME's) party?--CALIFORNIA <4th mention> ----------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925230 92POST: A8aa4. COLUMNS 1212 - 1212 NUMERIC A8aa(4). Who were they?--CALIFORNIA ------------------------------------------------------------ Built from A8a(4) 1. DEMOCRATIC CANDIDATE (11, 93 [11a]) 2. REPUBLICAN CANDIDATE (12, 94 [14a]) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (21, 31-36, 41, 42, 58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. DK name and DK/NA party; NA (99) 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention ============================== VAR M925231 92POST: A8x4. COLUMNS 1213 - 1213 NUMERIC A8x(4). Respondent's knowledge of the names and parties of candidates running in the Senate race for R's State of residence--CALIFORNIA. <4th mention> ----------------------------------------------------------- See box preceding V5108 Built from A8a(4) & A8b(4) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. Inap, no post-interview; 1, 3 in A6; 5, 9 in A8; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; no further mention There are no variables in range 5232-5300 ============================== VAR M925301 92POST: B1a. TH BUSH COLUMNS 1214 - 1216 NUMERIC B1. (RB, P. 3) Please turn to page three of this booklet. I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward that person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. Our first person is George Bush. How would you rate him using the feeling thermometer? B1a. GEORGE BUSH ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview ============================== VAR M925302 92POST: B1b. TH CLINTON COLUMNS 1217 - 1219 NUMERIC B1b. Bill Clinton ---------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview ============================== VAR M925303 92POST: B1c. TH PEROT COLUMNS 1220 - 1222 NUMERIC B1c. Ross Perot -------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview ============================== VAR M925304 92POST: B1d. TH #11,13,15 COLUMNS 1223 - 1225 NUMERIC B1d. (NAME # 11, 13 or 15) ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 81, 82, 85 in V3022 ============================== VAR M925305 92POST: B1e. TH #12,14,16 COLUMNS 1226 - 1228 NUMERIC B1e. (NAME # 12, 14, or 16) ---------------------------------------------------- RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 81, 82, 85 in V3022 ============================== VAR M925306 92POST: B1f. 11a,13a,15a COLUMNS 1229 - 1231 NUMERIC B1f. (NAME # 11a, 13a OR 15a) CALIFORNIA ONLY ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61-62, 68, 72-73 in V3017 ============================== VAR M925307 92POST: B1g. 12a,14a,16a COLUMNS 1232 - 1234 NUMERIC B1g. (NAME # 12a, 14a, or 16a) CALIFORNIA ONLY ----------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 01, 03, 04, 12-14, 21-25, 31-35, 40-45, 47, 49, 52, 54, 56, 61-62, 68, 72-73 in V3017 ============================== VAR M925308 92POST: B1h. TH 19, 29 COLUMNS 1235 - 1237 NUMERIC B1h. (NAME # 19, 29) ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 81, 82, 85, 95 in V3022 ============================== VAR M925309 92POST: B1j. TH SEN 1 COLUMNS 1238 - 1240 NUMERIC B1j. (NAME, SENATOR #1) ------------------------ RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 12, 21, 55, 65, 95 in V3022 ============================== VAR M925310 92POST: B1k. TH SEN 2 COLUMNS 1241 - 1243 NUMERIC B1k. (NAME, SENATOR #2) ------------------------ RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 12, 21, 55, 65, 95 in V3022 ============================== VAR M925311 92POST: B1m. TH 31,33,35 COLUMNS 1244 - 1246 NUMERIC B1m. (NAME # 31, 33, or 35) ---------------------------------------------------------- NOTE: LA06 Republican candidate 31 is also coded here. See LA06 note in V3021. Use V3021=45 to exclude these cases. RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 24, 52 in V3021; 3,4 in V5002 ============================== VAR M925312 92POST: B1n. TH 32,34,36 COLUMNS 1247 - 1249 NUMERIC B1n. (NAME #32, 34, OR 36) --------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 14, 51 in V3021; 3,4 in V5002 ============================== VAR M925313 92POST: B1p. TH #41, 42 COLUMNS 1250 - 1252 NUMERIC B1p. (NAME # 41, 42) ----------------------------------------------------------- In CA06 and WA08 a Senate candidate was also the retiring Representative. In these CD's, a thermometer was asked only once in 5304-5305 and answers were duplicated here. RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview; 12, 14, 21, 24, 45, 85 in V3021; 3,4 in V5002 ============================== VAR M925314 92POST: B1g. TH #30 COLUMNS 1253 - 1255 NUMERIC B1q. (NAME # 30) ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) SEE NOTE(S) 5 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview. No name #30 ============================== VAR M925315 92POST: B1r. STOCKDALE COLUMNS 1256 - 1258 NUMERIC B1r. James Stockdale ------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE. Variables denoting use of Don't Know probes are located at V6301-6315 999. NA 888. Inap, no post-interview. ============================== VAR M925316 92POST: B2a. UNIONS COLUMNS 1259 - 1261 NUMERIC B2. (RB, STILL ON P. 3) And still using the feeling thermometer, how would you rate the following groups: B2a. Labor unions (USE SAME CODE FOR B2b-B2aa) ----------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925317 92POST: B2b. FEMINIST COLUMNS 1262 - 1264 NUMERIC B2b. Feminists (USE SAME CODE FOR B2b-B2aa) -------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925318 92POST: B2c. P WELFARE COLUMNS 1265 - 1267 NUMERIC B2c. People on Welfare (USE SAME CODE FOR B2b-B2aa) ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925319 92POST: B2d. CONSERV COLUMNS 1268 - 1270 NUMERIC B2d. Conservatives (USE SAME CODE FOR B2b-B2aa) ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925320 92POST: B2e. POOR COLUMNS 1271 - 1273 NUMERIC B2e. Poor People (USE SAME CODE FOR B2b-B2aa) ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925321 92POST: B2f. CATHOLICS COLUMNS 1274 - 1276 NUMERIC B2f. Catholics (USE SAME CODE FOR B2b-B2aa) -------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925322 92POST: B2g. B BUSINESS COLUMNS 1277 - 1279 NUMERIC B2g. Big Business (USE SAME CODE FOR B2b-B2aa) ----------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925323 92POST: B2h. BLACKS COLUMNS 1280 - 1282 NUMERIC B2h. Blacks (USE SAME CODE FOR B2b-B2aa) ----------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925324 92POST: B2j. W MOVEMENT COLUMNS 1283 - 1285 NUMERIC B2j. The Women's Movement (USE SAME CODE FOR B2b-B2aa) ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925325 92POST: B2k. FED GOV COLUMNS 1286 - 1288 NUMERIC B2k. The federal government in Washington (USE SAME CODE FOR B2b-B2aa) --------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925326 92POST: B2l. LIBERALS COLUMNS 1289 - 1291 NUMERIC B2l. Liberals (USE SAME CODE FOR B2b-B2aa) ------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925327 92POST: B2m. HISPANICS COLUMNS 1292 - 1294 NUMERIC B2m. Hispanic-Americans (USE SAME CODE FOR B2b-B2aa) -------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925328 92POST: B2n. MILITARY COLUMNS 1295 - 1297 NUMERIC B2n. The Military (USE SAME CODE FOR B2b-B2aa) ----------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925329 92POST: B2p. ENVIRONMT COLUMNS 1298 - 1300 NUMERIC B2p. Environmentalists (USE SAME CODE FOR B2b-B2aa) ------------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925330 92POST: B2q. LAWYERS COLUMNS 1301 - 1303 NUMERIC B2q. Lawyers (USE SAME CODE FOR B2b-B2aa) ------------------------------------------------------ RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925331 92POST: B2r. IL IMMIGRANT COLUMNS 1304 - 1306 NUMERIC B2r. Illegal Immigrants (USE SAME CODE FOR B2b-B2aa) -------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925332 92POST: B2s. SOUTHNERS COLUMNS 1307 - 1309 NUMERIC B2s. Southerners (USE SAME CODE FOR B2b-B2aa) ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925333 92POST: B2t. WHITES COLUMNS 1310 - 1312 NUMERIC B2t. Whites (USE SAME CODE FOR B2b-B2aa) ----------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925334 92POST: B2u. JEWS COLUMNS 1313 - 1315 NUMERIC B2u. Jews (USE SAME CODE FOR B2b-B2aa) --------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925335 92POST: B2v. HOMOSEXUAL COLUMNS 1316 - 1318 NUMERIC B2v. Gay men and lesbians; that is, homosexuals (USE SAME CODE FOR B2b-B2aa) --------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925336 92POST: B2w. IMMIGR LEG COLUMNS 1319 - 1321 NUMERIC B2w. Immigrants (USE SAME CODE FOR B2b-B2aa) --------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925337 92POST: B2x. CONGRESS COLUMNS 1322 - 1324 NUMERIC B2x. Congress--That is, the U.S. Senate and the House of Representatives (USE SAME CODE FOR B2b-B2aa) --------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925338 92POST: B2y. FUNDAMENTAL COLUMNS 1325 - 1327 NUMERIC B2y. Christian Fundamentalists (USE SAME CODE FOR B2b-B2aa) ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925339 92POST: B2z. ASIANS COLUMNS 1328 - 1330 NUMERIC B2z. Asian-Americans (USE SAME CODE FOR B2b-B2aa) ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview ============================== VAR M925340 92POST: B2aa. POLICE COLUMNS 1331 - 1333 NUMERIC B2aa. The Police (USE SAME CODE FOR B2b-B2aa) ---------------------------------------------------------- RATING (RECORD ACTUAL NUMBER) 000. . . 100. 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA 888. Inap, no post-interview There are no variables in range 5341-5400 ============================== VAR M925401 92POST: C1. LIKES DEM COLUMNS 1334 - 1334 NUMERIC Next I would like to ask some questions about the candidate(s) who ran in this district for the U.S. House of Representatives. C1. Was there anything in particular that you liked about (NAME # 31, 33, or 35), the Democratic candidate [LA06 only: the Republican candidate] for the U.S. House of Representatives? ------------------------------------------------------------ For a discussion of the meaning of "this district, " see note preceding V5108 C1-C2a were asked about second Rep. candidate in LA06. See LA06 note in V3021. Use V3021=45 to exclude these cases. 1. YES 5. NO Rep. 7. R VOLUNTEERS: "I DON'T KNOW ANYTHING ABOUT THIS PERSON" 8. DON'T KNOW 9. NA 0. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002 ============================== VAR M925402 92POST: C1a1. COLUMNS 1335 - 1338 NUMERIC C1a(1). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 9998. DK (V5402 only) 9999. NA (V5402 only) 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 5, 7-9 in C1; no further mention ============================== VAR M925403 92POST: C1a2. COLUMNS 1339 - 1342 NUMERIC C1a(2). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 5, 7-9 in C1; no further mention ============================== VAR M925404 92POST: C1a3. COLUMNS 1343 - 1346 NUMERIC C1a(3). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 5, 7-9 in C1; no further mention ============================== VAR M925405 92POST: C1a4. COLUMNS 1347 - 1350 NUMERIC C1a(4). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 5, 7-9 in C1; no further mention ============================== VAR M925406 92POST: C1a5. COLUMNS 1351 - 1353 NUMERIC C1a(5). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 5, 7-9 in C1; no further mention ============================== VAR M925407 92POST: C2. DISLIKE DEM COLUMNS 1354 - 1354 NUMERIC C2. Was there anything in particular that you didn't like about (NAME # 31, 33, or 35)? ------------------------------------------------------------ See note at C1. 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 7 in C1 ============================== VAR M925408 92POST: C2a1. COLUMNS 1355 - 1358 NUMERIC C2a(1). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 9998. DK (V5408 only) 9999. NA (V5408 only) 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M925409 92POST: C2a2. COLUMNS 1359 - 1362 NUMERIC C2a(2). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M925410 92POST: C2a3. COLUMNS 1363 - 1366 NUMERIC C2a(3). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M925411 92POST: C2a4. COLUMNS 1367 - 1370 NUMERIC C2a(4). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M925412 92POST: C2a5. COLUMNS 1371 - 1373 NUMERIC C2a(5). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See note at C1. See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Democratic US House candidate (24, 52 in V3021); 3, 4 in V5002; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M925413 92POST: C3. LIKES REPUB COLUMNS 1374 - 1374 NUMERIC C3. Was there anything in particular that you liked about (NAME # 32, 34, or 36), the Republican candidate for the U.S. House of Representatives? ---------------------------------------------------------- 1. YES 5. NO 7. R VOLUNTEERS: "I DON'T KNOW ANYTHING ABOUT THIS PERSON" 8. DON'T KNOW 9. NA 0. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002 ============================== VAR M925414 92POST: C3a1. COLUMNS 1375 - 1378 NUMERIC C3a(1). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 9998. DK (V5414 only) 9999. NA (V5414 only) 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 5, 7-9 in C3; no further mention ============================== VAR M925415 92POST: C3a2. COLUMNS 1379 - 1382 NUMERIC C3a(2). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 5, 7-9 in C3; 9998-9999 in C3a(1); no further mention ============================== VAR M925416 92POST: C3a3. COLUMNS 1383 - 1386 NUMERIC C3a(3). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 5, 7-9 in C3; 9998-9999 in C3a(1); no further mention ============================== VAR M925417 92POST: C3a4. COLUMNS 1387 - 1390 NUMERIC C3a(4). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 5, 7-9 in C3; 9998-9999 in C3a(1); no further mention ============================== VAR M925418 92POST: C3a5. COLUMNS 1391 - 1393 NUMERIC C3a(5). [IF NECESSARY: What was that?] (PROBE: Anything else you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 5, 7-9 in C3; 9998-9999 in C3a(1); no further mention ============================== VAR M925419 92POST: C4. DISLIKE REPUB COLUMNS 1394 - 1394 NUMERIC C4. Was there anything in particular that you didn't like about (NAME # 32, 34, or 36)? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 7 in C3 ============================== VAR M925420 92POST: C4a1. COLUMNS 1395 - 1398 NUMERIC C4a(1). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ------------------------------------------------------------ See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 9998. DK (V5420 only) 9999. NA (V5420 only) 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 7 in C3; 5, 8-9 in C4; no further mention ============================== VAR M925421 92POST: C4a2. COLUMNS 1399 - 1402 NUMERIC C4a(2). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ------------------------------------------------------------ See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 7 in C3; 5, 8-9 in C4; 9998-9999 in C4a(1); no further mention ============================== VAR M925422 92POST: C4a3. COLUMNS 1403 - 1406 NUMERIC C4a(3). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ------------------------------------------------------------ See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 7 in C3; 5, 8-9 in C4; 9998-9999 in C4a(1); no further mention ============================== VAR M925423 92POST: C4a4. COLUMNS 1407 - 1410 NUMERIC C4a(4). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ------------------------------------------------------------ See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 7 in C3; 5, 8-9 in C4; 9998-9999 in C4a(1); no further mention ============================== VAR M925424 92POST: C4a5. COLUMNS 1411 - 1413 NUMERIC C4a(5). [IF NECESSARY: What was that?] (PROBE: Anything else you didn't like about this candidate? UNTIL R SAYS "NO.") ------------------------------------------------------------ See the PARTY-CANDIDATE Master Code. SEE NOTE(S) 3 0001. . . 9997. 0000. Inap, no post-interview; no Republican US House candidate (14, 51 in V3021); 3, 4 in V5002; 7 in C3; 5, 8-9 in C4; 9998-9999 in C4a(1); no further mention ============================== VAR M925425 92POST: C5(1). COLUMNS 1414 - 1416 NUMERIC C5(1). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you?--First Mention ----------------------------------------------------------- See the CAMPAIGN ISSUES Master Code. SEE NOTE(S) 4 000. None 001. . . 991. 996. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002 998. DK 999. NA ============================== VAR M925426 92POST: C5(2). COLUMNS 1417 - 1419 NUMERIC C5(2). Second Mention --------------------------------------------------------- See the CAMPAIGN ISSUES Master Code. SEE NOTE(S) 4 001. . . 991. 998. DK 999. NA 000. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 000, 998-999 in 5425; no further mention ============================== VAR M925427 92POST: C5(3). COLUMNS 1420 - 1422 NUMERIC C5(3). Third Mention -------------------------------------------------------- See the CAMPAIGN ISSUES Master Code. SEE NOTE(S) 4 001. . . 991. 998. DK 999. NA 000. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 000, 998-999 in 5425; no further mention ============================== VAR M925428 92POST: C6. CHECKPOINT COLUMNS 1423 - 1423 NUMERIC C6. INTERVIEWER CHECKPOINT --------------------------- 1. R HAS NOT MENTIONED ANY ISSUES [000, 998, 999 in C5(1)] 2. R HAS MENTIONED ONLY ONE ISSUE 3. ALL OTHERS 0. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002 ============================== VAR M925429 92POST: C7. COLUMNS 1424 - 1426 NUMERIC C7. Of those you've mentioned, what would you say is the single most important issue? --------------------------------------------------------- If R mentioned only 1 issue in C5 then that response has been duplicated here. See the CAMPAIGN ISSUES Master Code. SEE NOTE(S) 4 001. . . 991. 998. DK 999. NA 000. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 1-2 in C6 ============================== VAR M925430 92POST: C8. CHECKPOINT COLUMNS 1427 - 1427 NUMERIC C8. INTERVIEWER CHECKPOINT --------------------------- 1. DISTRICT IN WHICH TWO HOUSE CANDIDATES RAN (CANDIDATE LIST INCLUDES ONE NAME #31, 33 OR 35 AND ONE NAME #32, 34 OR 36) (12, 21, 45, 55, 65, 85 in V3021) 2. DISTRICT IN WHICH ONLY ONE HOUSE CANDIDATE RAN (CANDIDATE LIST INCLUDES EITHER NAME #31, 33 or 35 OR NAME #32, 34, OR 36, BUT NOT BOTH) (14, 24, 51, 52 in V3021) 0. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 1 in C6; 998, 999 in C7 ============================== VAR M925431 92POST: C8A. COLUMNS 1428 - 1428 NUMERIC C8a. Did you tend to prefer one of the candidates because of this issue? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 1 in C6; 998, 999 in C7; 2 in C8 ============================== VAR M925432 92POST: C8b. COLUMNS 1429 - 1430 NUMERIC C8b. Which candidate did you prefer? ------------------------------------------------------ See the Candidate Number Master Code. SEE NOTE(S) 5 31. . . 36. 97. Name not given on list for this race 98. DK 99. NA 00. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 1 in C6; 998, 999 in C7; 2 in C8; 5, 8, 9 in C8a ============================== VAR M925433 92POST: C8bb. COLUMNS 1431 - 1431 NUMERIC C8bb. Candidate Named ----------------------------------- Built from V5432 1. Democratic candidate (31, 33, 35 exc. LA06) 2. Republican " (32, 34, 36, 31 in LA06) 7. Name not on candidate list for this race (97) 8. DK (98) 9. NA (99) 0. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 1 in C6; 998, 999 in C7; 2 in C8; 5, 8, 9 in C8a ============================== VAR M925434 92POST: C9. CHECKPOINT COLUMNS 1432 - 1432 NUMERIC C9. INTERVIEWER CHECKPOINT --------------------------- 1. DISTRICT IN WHICH TWO HOUSE CANDIDATES RAN (CANDIDATE LIST INCLUDES ONE NAME #31, 33 OR 35 AND ONE NAME #32, 34 OR 36) (12, 21, 45, 55, 65, 85 in V3021) 2. DISTRICT IN WHICH ONLY ONE HOUSE CANDIDATE RAN CANDIDATE LIST INCLUDES EITHER NAME #31, 33 or 35 OR NAME #32, 34, OR 36, BUT NOT BOTH) (14, 24, 51, 52 in V3021) 0. Inap, no post-interview; 3, 4 in V5002; 2 in C8; 5, 8-9 in C8a ============================== VAR M925435 92POST: C10. COLUMNS 1433 - 1433 NUMERIC C10. Do you happen to know if either of these candidates, (NAME #31, 33 or 35) or (NAME #32, 34 or 36) was already in the U.S. House of Representatives before the election? ----------------------------------------------------------- 1. YES, ONE CANDIDATE WAS 2. NEITHER CANDIDATE WAS 3. Both candidates were 5. DON'T KNOW (DON'T PROBE) 9. NA 0. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 2 in C8 or C9 ============================== VAR M925436 92POST: C10a. COLUMNS 1434 - 1435 NUMERIC C10a. Which candidate was that? ------------------------------------------------------- Code 31 includes 2nd Republican in LA06. See LA06 note in V3021. Use V3021=45 to exclude these cases See the Candidate Number Master Code. SEE NOTE(S) 5 31. . . 36. Both candidates 97. 98. DK 99. NA 00. Inap, no post interview; 3, 4 in V5002; 14, 24, 51, 52 in V3021; 2 in C8 or C9; 2, 5 or 9 in C10 ============================== VAR M925437 92POST: C10aa. COLUMNS 1436 - 1436 NUMERIC C10aa. Candidate Named ----------------------------------------------- Built from V5436 1. Democratic candidate (31, 33, 35) 2. Republican " (32, 34, 36; 31 in LA06) 6. Both candidates (90) 8. DK (98) 9. NA (99) 0. Inap, no post-interview; 14, 24, 51, 52 in V3021; 3, 4 in V5002; 2 in C8 or C9; 2, 5 or 9 in C10 ============================== VAR M925438 92POST: C11. COLUMNS 1437 - 1437 NUMERIC C11. IF ONLY ONE HOUSE CANDIDATE RAN IN THE DISTRICT: Do you happen to know if (NAME #31, 32, 33, 34) was already in the U.S. House of Representatives before the election? ----------------------------------------------------------- 1. YES, CANDIDATE WAS 3. NO, CANDIDATE WAS NOT 5. DON'T KNOW (DON'T PROBE) 9. NA 0. Inap, no post-interview; 12, 21, 45, 55, 65, 85 in V3021; 3, 4 in V5002; 1 in C8 or C9 ============================== VAR M925439 92POST: C11a. COLUMNS 1438 - 1439 NUMERIC C11a. Candidate Number of the House Candidate ------------------------------------------------------------ See the Candidate Number code. 31. . . 34. 98. DK 99. NA 00. Inap, no post-interview; 12, 21, 45, 55, 65, 85 in V3021; 3, 4 in V5002; 1 in C8 or C9; 3, 5, 9 in C11 ============================== VAR M925440 92POST: C11aa. COLUMNS 1440 - 1440 NUMERIC C11aa. Candidate Named ----------------------------------------------------------- Built from V5439 1. Democratic candidate (31, 33) 2. Republican " (32, 34) 8. DK (98) 9. NA (99) 0. Inap, no post-interview; 12, 21, 45, 55, 65, 85 in V3021; 3, 4 in V5002; 1 in C8 or C9; 3, 5, 9 in C11 There are no variables in range 5441-5500 ============================== VAR M925501 92POST: C12. COLUMNS 1441 - 1441 NUMERIC C12. INTERVIEWER CHECKPOINT ---------------------------- 1. DISTRICT IN WHICH THERE WAS A DEMOCRATIC CANDIDATE (CANDIDATE LIST INCLUDES NAME #31, 33, OR 35--Race type 12, 14, 21, 45, 51, 55, 65, 85 in V3021) or LOUISIANA (2 Republican candidates, coded 31 and 32--Race type 45) 2. NO DEMOCRATIC CANDIDATE IN RACE (CANDIDATE LIST INCLUDES NAME #32 OR 34 ONLY) (24, 52, 99 in V3021) 0. Inap, no post-interview; 3, 4 in V5002 ============================== VAR M925502 92POST: C13. CONTACT DEM COLUMNS 1442 - 1442 NUMERIC C13. (RB, P. 4) There are many ways in which congressional candidates can have contact with the people from their district. On this page are some of these ways. Think about (NAME # 31, 33, 35) who ran for the U.S. House of Representatives from this district in the last election. Have you come into contact with or learned anything about (him/her) through any of these ways? ------------------------------------------------------------ C13-C14 were asked about 2nd Republican candidate in LAO6. See LAO6 note in V3021. Use V3021=45 to exclude these cases. 1. YES 5. NO; NO CONTACT AT ALL 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12 ============================== VAR M925503 92POST: C13aa. COLUMNS 1443 - 1443 NUMERIC C13a. Which ones? (MARK ALL MENTIONS) C13aa. MET HIM/HER PERSONALLY ---------------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925504 92POST: C13ab. COLUMNS 1444 - 1444 NUMERIC C13ab. ATTENDED A MEETING OR GATHERING WHERE HE/SHE SPOKE ---------------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925505 92POST: C13ac. COLUMNS 1445 - 1445 NUMERIC C13ac. TALKED TO A MEMBER OF HIS/HER STAFF OR SOMEONE IN HIS/HER OFFICE --------------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925506 92POST: C13ad. COLUMNS 1446 - 1446 NUMERIC C13ad. RECEIVED SOMETHING IN THE MAIL FROM HIM/HER --------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925507 92POST: C13ae. COLUMNS 1447 - 1447 NUMERIC C13ae. READ ABOUT HIM/HER IN A NEWSPAPER OR MAGAZINE ----------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925508 92POST: C13af. COLUMNS 1448 - 1448 NUMERIC C13af. HEARD HIM/HER ON THE RADIO ---------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925509 92POST: C13ag. COLUMNS 1449 - 1449 NUMERIC C13ag. SAW HIM/HER ON TV ------------------------------------------------------ See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925510 92POST: C13ah. COLUMNS 1450 - 1450 NUMERIC C13ah. OTHER CONTACT NOT INCLUDED IN A-G ABOVE ----------------------------------------------------------- See note in C13 1. Marked 5. Not marked 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12; 5, 9 in C13 ============================== VAR M925511 92POST: C14. COLUMNS 1451 - 1451 NUMERIC C14. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME # 31, 33, 35)? ---------------------------------------------------------- See note in C13. 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 24, 52 in V3021; 3, 4 in V5002; 2 in C12 ============================== VAR M925512 92POST: C15. CHECKPOINT COLUMNS 1452 - 1452 NUMERIC C15. INTERVIEWER CHECKPOINT ---------------------------- 1. REPUBLICAN CANDIDATE (NAME #32, 34, 36 ON CAND. LIST--Race type 12, 21, 24, 45, 52, 52, 55, 65, 85 in V3021) or LOUISIANA (2 Republican candidates, coded 31 and 32--Race type 45) 2. NO REPUBLICAN CANDIDATE (14, 51, 99 in V3021) 0. Inap, no post-interview; 3, 4 in V5002 ============================== VAR M925513 92POST: C16. CONTACT REP COLUMNS 1453 - 1453 NUMERIC C16. (RB, STILL ON P. 4) (There are many ways in which congressional candidates can have contact with the people from their district). How about: (NAME # 32, 34 36) who (also) ran for the U.S. House of Representatives from this district in the last election. Have you come into contact with or learned anything about (him/her) through any of these ways? ---------------------------------------------------------- 1. YES 5. NO; NO CONTACT AT ALL 9. NA 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15 ============================== VAR M925514 92POST: C16aa. COLUMNS 1454 - 1454 NUMERIC C16a. Which ones? (MARK ALL MENTIONS) C16aa. MET HIM/HER PERSONALLY ------------------------------------------------------------ 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925515 92POST: C16ab. COLUMNS 1455 - 1455 NUMERIC C16ab. ATTENDED A MEETING OR GATHERING WHERE HE/SHE SPOKE ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925516 92POST: C16ac. COLUMNS 1456 - 1456 NUMERIC C16ac. TALKED TO A MEMBER OF HIS/HER STAFF OR SOMEONE IN HIS/HER OFFICE --------------------------------------------------------- 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925517 92POST: C16ad. COLUMNS 1457 - 1457 NUMERIC C16ad. RECEIVED SOMETHING IN THE MAIL FROM HIM/HER --------------------------------------------------- 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925518 92POST: C16ae. COLUMNS 1458 - 1458 NUMERIC C16ae. READ ABOUT HIM/HER IN A NEWSPAPER OR MAGAZINE ----------------------------------------------------- 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925519 92POST: C16af. COLUMNS 1459 - 1459 NUMERIC C16af. HEARD HIM/HER ON THE RADIO ---------------------------------------------------- 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925520 92POST: C16ag. COLUMNS 1460 - 1460 NUMERIC C16ag. SAW HIM/HER ON TV ------------------------------------------------------ 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925521 92POST: C16ah. COLUMNS 1461 - 1461 NUMERIC C16ah. OTHER CONTACT NOT INCLUDED IN A-G ABOVE ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA to entire question C16a 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15; 5, 9 in C16 ============================== VAR M925522 92POST: C17. COLUMNS 1462 - 1462 NUMERIC C17. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME # 32, 34, 36)? ---------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 14, 51 in V3021; 3, 4 in V5002; 2 in C15 There are no variables in range 5523-5600 ============================== VAR M925601 92POST: D1. R VOTE COLUMNS 1463 - 1463 NUMERIC D1. In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you--did you vote in the elections this November? ------------------------------------------------------------ 1. YES, DID VOTE 5. NO, DID NOT VOTE 6. Refuses to say whether voted 7. Not old enough to vote 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925602 92POST: D1a. R REGIST COLUMNS 1464 - 1464 NUMERIC D1a. Were you registered to vote in this election? --------------------------------------------------- 1. YES 5. NO 6. R VOLUNTEERS: VOTERS NOT REQUIRED TO REGISTER 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 1, 6-7, 9 in D1 ============================== VAR M925603 92POST: D2. COLUMNS 1465 - 1465 NUMERIC D2. Your residence is located in (County/City/Town, State). Are you registered to vote in (County/City/Town, State)? ------------------------------------------------------------ 1. YES 5. NO 9. NA 0. Inap, no post-interview; 3,4 in V5002; 6-7, 9 in D1; 5-6, 8-9 in D1a ============================== VAR M925604 92POST: D2A COLUMNS 1466 - 1466 CHARACTER D2a. In what county and state are you registered? -------------------------------------------------- THIS FIELD IS PADDED WITH ZEROS ============================== VAR M925605 92POST: D2c. CHECKPOINT COLUMNS 1467 - 1467 NUMERIC D2c. INTERVIEWER CHECKPOINT ---------------------------- 1. R VOTED (YES IN D1) 2. R DID NOT VOTE 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a ============================== VAR M925606 92POST: D3. COLUMNS 1468 - 1468 NUMERIC D3. Did you vote in person or by absentee ballot? -------------------------------------------------- 1. IN PERSON 2. ABSENTEE BALLOT 8. DK 9. NA 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c (YOU MAY REASSURE R THAT WE NEED THIS INFORMATION BECAUSE: We are interested in the frequency with which people have to update voting registration as a result of changes in residence. Voting rules vary from community to community. Knowing the locale at which you are currently registered will enable us to identify the regulations that apply to those who live in that area.) ============================== VAR M925607 92POST: D4/D5. COLUMNS 1469 - 1469 CHARACTER D4. We're interested in how far people have to go to vote. Where did you go to vote in the November election? (IWER: PROBE FOR NAME OR PLACE OR SPECIFIC LOCATION: E.G., LINCOLN SCHOOL, 87TH STREET FIRE STATION.) D5. REGISTERED BUT DID NOT VOTE We're interested in how far people have to go to vote. When you have voted, where did you go to vote? (IWER: PROBE FOR NAME OF PLACE OR SPECIFIC LOCATION; E.G., LINCOLN SCHOOL, 87TH STREET FIRE STATION.) ------------------------------------------------------------ THIS FIELD IS PADDED WITH ZEROS ============================== VAR M925608 92POST: D6. VOTE PRES COLUMNS 1470 - 1470 NUMERIC D6. How about the election for President? Did you vote for a candidate for President? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c ============================== VAR M925609 92POST: D6a. WHO? COLUMNS 1471 - 1471 NUMERIC D6a. Who did you vote for? --------------------------- 1. BUSH 2. CLINTON 3. ROSS PEROT 7. OTHER, SPECIFY 8. Refused 9. NA 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6 ============================== VAR M925610 92POST: D6b. COLUMNS 1472 - 1472 NUMERIC D6b. Would you say that your preference for this candidate was strong or not strong? ----------------------------------------------------------- 1. STRONG 5. NOT STRONG 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 9 in D6a ============================== VAR M925611 92POST: D6c. COLUMNS 1473 - 1474 NUMERIC D6c. How long before the election did you decide that you were going to vote the way you did? (IF R GIVES RANGE OF TIME, CODE MIDPOINT AND ROUND FRACTIONS TO EVEN WHOLE NUMBER.) ---------------------------------------------------------- 01. Knew all along/from the first; always vote for the same party; before the convention/nomination (no mention of Bush, Clinton or Perot); before the primaries; 9 months or more 02. Before the convention because of Bush's, Clinton's or Perot's candidacy; as soon as Bush/Clinton/Perot said he would run; "months before"; "early on"; "long time/quite a bit before the election" 03. At the time of the Republican convention/when Bush was nominated; just after the Republican convention; 3 months; August 04. During the Democratic convention when Clinton was nominated; just after the Democratic convention; 4 months; July; when Perot dropped out of the race 05. After the convention(s); during the campaign (NFS); 2 months; "a couple of months"; September 06. Five to seven weeks before the election 07. One month; three weeks; October; after the presidential debates; when Perot re-entered the race 08. About two weeks before the election 09. In the last few days of the campaign; the last part of it 10. On election day 11. During/after the primaries (not codeable in 02); "several months"; 5-8 months 12. After the vice-presidential debate 97. Other 98. DK 99. NA 00. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8- 9 in D1a; 2 in D2c; 5, 8-9 in D6; 9 in D6a ============================== VAR M925612 92POST: D6d. CHECKPOINT COLUMNS 1475 - 1475 NUMERIC D6d. INTERVIEWER CHECKPOINT ---------------------------- 1. BUSH IN D6a 2. CLINTON IN D6a 3. PEROT IN D6a 9. 7, 8, 9 in D6a 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6 ============================== VAR M925613 92POST: D6e. COLUMNS 1476 - 1476 NUMERIC D6e. (IF VOTED FOR BUSH:) Was there ever a time when you thought you were going to vote for Clinton or Perot? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 2-3, 9 in D6d ============================== VAR M925614 92POST: D6f. COLUMNS 1477 - 1477 NUMERIC D6f. IF NECESSARY: Which (one)? -------------------------------------------------------- 1. CLINTON 2. PEROT 3. BOTH 8. DK 9. NA 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 2-3, 9 in D6d; 5, 8-9 in D6e ============================== VAR M925615 92POST: D6g. COLUMNS 1478 - 1478 NUMERIC D6g. (IF VOTED FOR CLINTON): Was there ever a time when you thought you were going to vote for Bush or Perot? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 1, 3, 9 in D6d ============================== VAR M925616 92POST: D6h. COLUMNS 1479 - 1479 NUMERIC D6h. IF NECESSARY: Which (one)? -------------------------------- 1. BUSH 2. PEROT 3. BOTH 8. DK 9. NA 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 1, 3, 9 in D6d; 5, 8-9 in D6g ============================== VAR M925617 92POST: D6j. COLUMNS 1480 - 1480 NUMERIC D6j. (IF VOTED FOR PEROT:) Was there ever a time when you thought you were going to vote for Clinton or Bush? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 1-2, 9 in D6d ============================== VAR M925618 92POST: D6k. COLUMNS 1481 - 1481 NUMERIC D6k. IF NECESSARY: Which (one)? ----------------------------------------------------------- 1. CLINTON 2. BUSH 3. BOTH 8. DK 9. NA 0. Inap, no post-interview; 6-7 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D6; 1-2, 9 in D6d; 5, 8-9 in D6j ============================== VAR M925619 92POST: D6x. CHANGE PREF COLUMNS 1482 - 1483 NUMERIC D6x. CONSIDERATION OF OTHER CANDIDATES--SUMMARY ------------------------------------------------ Built from V5608-5618 10. R voted for Bush, never considered other (D6d=1, D6e=5, D6f=0) 11. R voted for Bush, considered Clinton (D6d=1, D6e=1, D6f=1) 12. R voted for Bush, considered Perot (D6d=1, D6e=1, D6f=2) 13. R voted for Bush, considered both Clinton and Perot (D6d=1, D6e=1, D6f=3) 20. R voted for Clinton, never considered other (D6d=2, D6e=5, D6f=0) 21. R voted for Clinton, considered Bush (D6d=2, D6e=1, D6f=1) 22. R voted for Clinton, considered Perot (D6d=2, D6e=1, D6f=2) 23. R voted for Clinton, considered both Bush and Perot (D6d=2, D6e=1, D6f=3) 25. R voted for Clinton, considered other but DK/NA who (D6d=2, D6e=1, D6f=8/9) 30. R voted for Perot, never considered other (D6d=3, D6e=5, D6f=0) 31. R voted for Perot, considered Clinton (D6d=3, D6e=1, D6f=1) 32. R voted for Perot, considered Bush (D6d=3, D6e=1, D6f=2) 33. R voted for Perot, considered both Clinton and Bush (D6d=3, D6e=1, D6f=3) 50. Voted for candidate other than Bush, Clinton or Perot (1 in D6, 7 in D6a) 55. Didn't vote for any presidential candidate (1 in D6, 5 in D6a) 98. NA/DK whether voted for any presidential candidate (8/9 in D6, 0 in D6a) 99. Voted for a presidential candidate, but NA/DK which one (1 in D6, 8/9 in D6a) 00. Inap, no post-interview; did not vote or did not vote for presidential candidate (0,2 in D2c; 0,5 in D6) ============================== VAR M925620 92POST: D7. COLUMNS 1484 - 1484 NUMERIC D7. INTERVIEWER CHECKPOINT FOR VOTING R: ----------------------------------------- (SEE D2, D2a; ADDRESS OF VOTER REGISTRATION) 1. R REGISTERED TO VOTE IN COUNTY AND STATE OF INTERVIEW 2. R REGISTERED TO VOTE OUTSIDE OF COUNTY AND/OR STATE OF INTERVIEW 3. R REFUSED TO CONFIRM ADDRESS WHERE REGISTERED 0. Inap, no post-interview; 3,4 in V5002; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c ============================== VAR M925621 92POST: D8/D11. COLUMNS 1485 - 1485 NUMERIC D8. (BALLOT CARD) Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington? Did you vote for a candidate for the U.S. House of Representative? D11. How about the election for the House of Representatives in Washington? Did you vote for a candidate for the U.S. House of Representatives? ------------------------------------------------------------ 1. YES 7. R VOLUNTEERS: VOTED FOR CANDIDATE WHOSE NAME IS NOT ON BALLOT CARD 5. NO 8. DK 9. NA 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c ============================== VAR M925622 92POST: D8a/D11a. COLUMNS 1486 - 1487 NUMERIC D8a/D11a. Who did you vote for? --------------------------------------------------------- NOTE: code 97 includes a few instances where R volunteered that he/she voted "a straight ticket" but no candidate for R's party ran; it also includes a few cases where R insists that he/she voted for a specific party's candidate but there was no candidate from that party. For Rs who voted outside of sample location district, code 97 includes House candidate, whose name is given but CD and party are not known, and also includes cases where R names candidate but name is not among names of candidates in 'outside' CD. CODES 31-36 IF R VOTED IN DISTRICT OF SAMPLE LOCATION: 31. Democratic candidate in open House race (incl. 2nd Republican candidate for LA06--see LA06 note in V3021. Use V3021=45 to exclude these cases.) 32. Republican candidate in open House race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger CODES 81-92 VOTED OUTSIDE DISTRICT OF SAMPLE LOCATION: Districts with No Running Incumbents 81. Dem. Candidate 82. Rep. Candidate Districts with Running Incumbents 83. Dem. Incumbent 84. Rep. Incumbent 85. Dem. Challenger 86. Rep. Challenger All districts outside district of sample location: 91. Democrat -- no name given 92. Republican -- no name given ALL Rs: 97. Name not on candidate list; 3rd party or independent candidate not appearing on candidate list 98. DK, refused to name candidate 99. NA 00. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D8/D11 ============================== VAR M925623 92POST: D8x/D11x. COLUMNS 1488 - 1488 NUMERIC D8x/D11x. CANDIDATE NAMED--U.S. HOUSE OF REPRESENTATIVES --------------------------------------------------------- Built from 5622 1. DEMOCRATIC CANDIDATE (31,33,35,81,83,85,91) 2. REPUBLICAN CANDIDATE (32,34,36,82,84,86,92 and 31 in LA06) 7. Name given not in Candidate List for that race (97) 8. DK (98) 9. NA (99) 0. Inap, no post-interview; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 5, 8-9 in D8/D11 ============================== VAR M925624 92POST: D8b. COLUMNS 1489 - 1489 NUMERIC D8b. Would you say your preference for this candidate was strong or not strong? ---------------------------------------------------------- 1. STRONG 5. NOT STRONG 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 2 in D7; 5, 8-9 in D8/D11; 98-99 in D8a/D11a ============================== VAR M925625 92POST: D9. CHECKPOINT COLUMNS 1490 - 1490 NUMERIC D9. INTERVIEWER CHECKPOINT --------------------------- 1. U.S. SENATE RACE IN THIS STATE (CANDIDATE LIST INCLUDES AT LEAST ONE NAME FROM #11-#16) (01, 04, 13-14, 21-22, 24-25, 31-32, 34, 41-45, 47, 52, 61-62, 72-73 in V3017) 2. CALIFORNIA (71 in V3017) 3. NO U.S. SENATE RACE (NO NAME FROM #11-#16 ON CANDIDATE LIST) (03, 12, 23, 33, 35, 40, 49, 54, 56, 68 in V3017) 9. R registered outside state of interview; 2 in D7 0. Inap, no post-interview; 3,4 in V5002; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c ============================== VAR M925626 92POST: D10/D12. VOTE SEN COLUMNS 1491 - 1491 NUMERIC D10. (BALLOT CARD) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? D12. Did you vote for a candidate for the U.S. Senate? ---------------------------------------------------------- R's may be legally registered in states other than that of their sample address. If they are registered out of state, and if that state had a Senate race, they were asked D12, regardless of whether the state for the sample address actually had a Senate race in 1992. 1. YES 5. NO 7. R volunteers: No Senate race in the state 8. DK 9. NA 0. Inap, no post-interview; 03, 12, 23, 33, 35, 40, 49, 54, 56, 68 in V3017; 71 in V3017 and 1,2 in V5002; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 2-3 in D9; R voted out of state (9 in D9 exc. short form) and no Senate race where R voted ============================== VAR M925627 92POST: D10a/D12a. COLUMNS 1492 - 1493 NUMERIC D10a/D12a. (SENATE VOTE) Who did you vote for? ----------------------------------------------- SEE NOTE D10/D12. FOR CALIFORNIA RESIDENTS: There were two Senate races in California, one for a full term, the other for a special election to fill an unexpired term. Vote for the regular election is duplicated here. See D10b1/D12a1 and D10b2/D12a2. In two cases R voted in CA, outside state of sample address. Because there is only one variable for Senate vote for Rs not living in California, R's vote in the regular (full term) CA Senate election has been coded here. These two Rs' votes in the special CA Senate election are as follow: post case 3718: candidate 84; post case 5360: candidate 85. CODES 11-16 IF R VOTED IN STATE OF SAMPLE LOCATION: 11. Democratic candidate in open Senate race 12. Republican candidate in open Senate race 13. Democratic Senate incumbent 14. Republican Senate incumbent 15. Democratic Senate challenger 16. Republican Senate challenger CODES 81-92 IF R VOTED OUTSIDE STATE OF SAMPLE LOCATION: States with No Running Incumbents 81. Dem. Candidate 82. Rep. Candidate States with Running Incumbents 83. Dem. Incumbent 84. Rep. Incumbent 85. Dem. Challenger 86. Rep. Challenger All states outside sample location: 91. Democrat -- no name given 92. Republican -- no name given ALL Rs: 97. Name not on candidate list; 3rd party or independent candidate not appearing on candidate list 98. DK, refused to name candidate 99. NA 00. Inap, no post-interview; 03, 12, 23, 33, 35, 40, 48, 54, 56, 68, 71 in V3017; 6-7, 9 in D1; 5- 6, 8-9 in D1a; 2 in D2c; 2-3 in D9; 5, 7-9 in D10/D12; R voted out of state (9 in D9 exc. short form) and no Senate race where R voted; R voted in CA but not in regular Senate race ============================== VAR M925628 92POST: D10x. COLUMNS 1494 - 1494 NUMERIC D10x. CANDIDATE NAMED--U.S. SENATE ----------------------------------- Built from 5627 SEE NOTE D10/D12. 01. DEMOCRATIC CANDIDATE (11, 13, 15, 81, 83, 85, 91) 02. REPUBLICAN CANDIDATE (12, 14, 16, 82, 84, 86, 92) 07. Name given not in Candidate List for that race (97) 08. DK (98) 09. NA (99) 00. Inap, no post-interview; 03, 12, 23, 33, 35, 40, 48, 54, 56, 68, 71 in V3017; 6-7, 9 in D1; 5- 6, 8-9 in D1a; 2 in D2c; 2-3 in D9; 5, 7-9 in D10/D12; R voted out of state (9 in D9 exc. short form) and no Senate race where R voted ============================== VAR M925629 92POST: D10b1/D12a1. COLUMNS 1495 - 1496 NUMERIC D10b1. (CALIFORNIA FIRST RACE) We had two Senate races in California. Which candidate did you vote for: D12a1. Who did you vote for? ---------------------------------------------------------- Responses 11, 12, 81-86, 91, 92, 97-99 were copied to D10a/D12a. CODES, IF R VOTED IN STATE OF SAMPLE LOCATION (CA): 11. Democratic candidate in open Senate race 12. Republican candidate in open Senate race 93. Democratic candidate in second Senate race 94. Republican candidate in second Senate race CODES 81-92 IF R VOTED OUTSIDE STATE OF SAMPLE LOCATION (CA): States with No Running Incumbents 81. Dem. Candidate 82. Rep. Candidate States with Running Incumbents 83. Dem. Incumbent 84. Rep. Incumbent 85. Dem. Challenger 86. Rep. Challenger All states outside of sample location (CA): 91. Democrat -- no name given 92. Republican -- no name given 97. Name not on candidate list 98. DK, refused to name candidate 99. NA 00. Inap, no post-interview; 01, 03, 04, 12-14, 21- 25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 1, 3 in D9; 3,4 in V5002 and 5, 7-9 in D10/D12; 1-2 in V5002 and R said didn't vote for Senator; R voted out of state and no race in state where R voted ============================== VAR M925630 92POST: D10b1x. COLUMNS 1497 - 1497 NUMERIC D10b1x. CANDIDATE NAMED--U.S. SENATE, CALIFORNIA (1st candidate) ------------------------------------------------------ Responses derived from codes 11, 12, 81-86, 91, 92, 97-99 were copied to D10x. Built from 5629 1. DEMOCRATIC CANDIDATE (11, 13, 15, 81, 83, 85, 91) 2. REPUBLICAN CANDIDATE (12, 14, 16, 82, 84, 86, 92) 7. Name given not in Candidate List for that race (97) 8. DK (98) 9. NA (99) 0. Inap, no post-interview; 01, 03, 04, 12-14, 21- 25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 1, 3 in D9; 3,4 in V5002 and 5, 7-9 in D10/D12; 1-2 in V5002 and R said didn't vote for Senator; R voted out of state and no race in state where R voted ============================== VAR M925631 92POST: D10b2/D12a2. COLUMNS 1498 - 1499 NUMERIC D10b2. (CALIFORNIA SECOND RACE) We had two Senate races in California. Which candidate did you vote for: 2nd CANDIDATE D12a2. Who did you vote for? ------------------------------------------------------------ Responses 11 and 12 (and 97 or 99 if regular Senate race vote) were copied to D10a/D12a. CODES, IF R VOTED IN STATE OF SAMPLE LOCATION (CA): 11. Democratic candidate in open Senate race 12. Republican candidate in open Senate race 93. Democratic candidate in second Senate race 94. Republican candidate in second Senate race 97. Name not on candidate list 98. DK, refused to name candidate 99. NA 00. Inap, no post-interview; 01, 03, 04, 12-14, 21- 25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 1, 3 in D9; 3,4 in V5002 and 5, 7-9 in D10/D12; 1-2 in V5002 and R said didn't vote for Senator; R voted out of state and no race in state where R voted; R voted out of state, no second race; R voted in CA but did not vote in both Senate races ============================== VAR M925632 92POST: D10b2x. COLUMNS 1500 - 1500 NUMERIC D10b2x. CANDIDATE NAMED--U.S. SENATE, CALIFORNIA (2nd candidate) ------------------------------------------------------ Responses derived from codes 11 and 12 were copied to D10x. Built from 5629 01. DEMOCRATIC CANDIDATE (11, 13, 15, 81, 83, 85, 91) 02. REPUBLICAN CANDIDATE (12, 14, 16, 82, 84, 86, 92) 07. Name given not in Candidate List for that race (97) 08. DK (98) 09. NA (99) 00. Inap, no post-interview; 01, 03, 04, 12-14, 21- 25, 31-35, 40-45, 47, 49, 52, 54, 56, 61, 62, 68, 72, 73 in V3017; 6-7, 9 in D1; 5-6, 8-9 in D1a; 2 in D2c; 1, 3 in D9; 3,4 in V5002 and 5, 7-9 in D10/D12; 1-2 in V5002 and R said didn't vote for Senator; R voted out of state and no race in state where R voted; R voted out of state, no second race; R voted in CA but did not vote in both Senate races ============================== VAR M925633 92POST: D13. COLUMNS 1501 - 1501 NUMERIC FOR R'S WHO DID NOT VOTE: D13-D14ax D13. How about the election for President? Did you prefer one of the candidates for President? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 1, 6-7, 9 in D1; 9 in D1a; 1 in D2c ============================== VAR M925634 92POST: D13a. COLUMNS 1502 - 1502 NUMERIC D13a. Who did you prefer? ------------------------------------------ 1. BUSH 2. CLINTON 3. ROSS PEROT 7. OTHER, SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 1, 6-7, 9 in D1; 9 in D1a; 1 in D2c; 5, 8-9 in D13 ============================== VAR M925635 92POST: D13b. COLUMNS 1503 - 1503 NUMERIC D13b. Would you say that your preference for this candidate was strong or not strong? ------------------------------------------------------------ 1. STRONG 5. NOT STRONG 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 1, 6-7, 9 in D1; 9 in D1a; 1 in D2c; 5, 8-9 in D13; 8-9 in D13a ============================== VAR M925636 92POST: D14. COLUMNS 1504 - 1504 NUMERIC D14. (BALLOT CARD) Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington? Did you prefer one of the candidates for the U.S. House of Representatives? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 1, 6-7, 9 in D1; 9 in D1a; 1 in D2c ============================== VAR M925637 92POST: D14a. COLUMNS 1505 - 1506 NUMERIC D14a. Which candidate was that? ------------------------------------------------- See CANDIDATE NUMBER Master Code. Code 31 includes 2nd Republican candidate in LA06. See LA06 note in V3021. Use V3021=45 to exclude these cases. SEE NOTE(S) 5 31. . . 36. 97. Name given not on Candidate List for this race; 3rd party or independent candidate not appearing on Candidate List 98. DK, refused to name candidate 99. NA 00. Inap, no post-interview; 1, 6-7, 9 in D1; 9 in D1a; 1 in D2c; 5, 8-9 in D14 ============================== VAR M925638 92POST: D14ax. COLUMNS 1507 - 1507 NUMERIC D14ax. CANDIDATE NAMED--U.S. HOUSE OF REPRESENTATIVES ------------------------------------------------------ Built from 5637 1. DEMOCRATIC CANDIDATE (31, 33, 35) 2. REPUBLICAN CANDIDATE (32, 34, 36, includes 31 in LA06; see LA06 note in V3021) 7. Name given not in Candidate List for that race (97) 8. DK (98) 9. NA (99) 0. Inap, no post-interview; 1, 6-7, 9 in D1; 9 in D1a; 1 in D2c; 5, 8-9 in D14 ============================== VAR M925639 92POST: D15. CHECKPOINT COLUMNS 1508 - 1508 NUMERIC D15. INTERVIEWER CHECKPOINT ---------------------------- NOTE: 41 cases changed their marital status to married or to divorced/separated since the Pre-election interview. D15 incorporates these changes. 1. R IS MARRIED (OR PARTNERED) 2. ALL OTHERS 0. Inap, no post-interview ============================== VAR M925640 92POST: D16. COLUMNS 1509 - 1509 NUMERIC D16. Did your (husband/wife/partner) vote in the election this November either in person or by absentee ballot? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 2 in D15 There are no variables in range 5641-5700 ============================== VAR M925701 92POST: E1. COLUMNS 1510 - 1510 NUMERIC E1. Have you (or anyone in your family living here) ever contacted Representative (NAME #33 or 34) or anyone in (his/her) office? --------------------------------------------------------- Please see note preceding V5108 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002 ============================== VAR M925702 92POST: E1a1. COLUMNS 1511 - 1511 NUMERIC E1a. Was it to express an opinion, seek information, or to seek help on a problem you had? (CHECK ALL THAT APPLY) E1a. 1. EXPRESS AN OPINION ----------------------------------------------------------- 1. Checked 5. Not checked 9. NA to entire question E1a 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E1 ============================== VAR M925703 92POST: E1a2. COLUMNS 1512 - 1512 NUMERIC E1a(2). 2. SEEK INFORMATION -------------------------------------------------------- 1. Checked 5. Not checked 9. NA to entire question E1a 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E1 ============================== VAR M925704 92POST: E1a3. COLUMNS 1513 - 1513 NUMERIC E1a. 3. SEEK HELP ON A PROBLEM YOU HAD ----------------------------------------------------------- 1. Checked 5. Not checked 9. NA to entire question E1a 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E1 ============================== VAR M925705 92POST: E1b. COLUMNS 1514 - 1514 NUMERIC E1b. Did you get a response from your Representative or (his/her) office? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E1; 9 in E1a ============================== VAR M925706 92POST: E1c. COLUMNS 1515 - 1515 NUMERIC E1c. How satisfied were you with the response: very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ------------------------------------------------------------ 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 4. NOT VERY SATISFIED 5. NOT AT ALL SATISFIED 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E1; 9 in E1a; 5, 8-9 in E1b ============================== VAR M925707 92POST: E2. COLUMNS 1516 - 1516 NUMERIC E2. Do you know anyone else who has contacted Representative (NAME #33 or 34) or anyone in (his/her) office? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002 ============================== VAR M925708 92POST: E2a. COLUMNS 1517 - 1517 NUMERIC E2a. Did this (person/group) get a response? -------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E2 ============================== VAR M925709 92POST: E2b. COLUMNS 1518 - 1518 NUMERIC E2b. How satisfied was this (person/group) with the response: very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ------------------------------------------------------ 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 4. NOT VERY SATISFIED 5. NOT AT ALL SATISFIED 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 86 in V3021; 3,4 in V5002; 5, 8-9 in E2; 5, 8-9 in E2a ============================== VAR M925710 92POST: E3. COLUMNS 1519 - 1519 NUMERIC E3. In general, do you approve or disapprove of the way Representative (NAME # 33 or 34) has been handling (his/her) job? ------------------------------------------------------------ 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002 ============================== VAR M925711 92POST: E3a/b. COLUMNS 1520 - 1520 NUMERIC E3a. Do you approve strongly or not strongly? E3b. Do you disapprove strongly or not strongly? ------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 8-9 in E3 ============================== VAR M925712 92POST: E4. COLUMNS 1521 - 1521 NUMERIC E4. If you had (another/a) problem that Representative (NAME # 33 or 34) could do something about, do you think (he/she) would be very helpful, somewhat helpful, or not very helpful to you? -------------------------------------------------------- 1. VERY HELPFUL 2. SOMEWHAT HELPFUL 3. NOT VERY HELPFUL 7. DEPENDS 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002 ============================== VAR M925713 92POST: E5. COLUMNS 1522 - 1522 NUMERIC E5. Do you happen to remember anything special that Representative (NAME #33 or 34) has done for the people in (his/her) district while (he/she) has been in Congress? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002 ============================== VAR M925714 92POST: E6. COLUMNS 1523 - 1523 NUMERIC E6. How good a job would you say U.S. Representative (NAME #33 or 34) does of keeping in touch with the people in your district--does (he/she) do a very good job, fairly good, fairly poor, or a poor job of keeping in touch with the people in this district? ----------------------------------------------------------- 1. VERY GOOD 2. FAIRLY GOOD 3. FAIRLY POOR 4. POOR 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002 ============================== VAR M925715 92POST: E7. COLUMNS 1524 - 1524 NUMERIC E7. Have you read or heard about U.S. Representatives writing checks when they didn't have enough money to cover them in their House bank account? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M925716 92POST: E7a. COLUMNS 1525 - 1525 NUMERIC E7a. (RB, P. 5) Which of these statements is closer to your opinion on the bad checks: ------------------------------------------------------------ 1. Representatives who wrote bad checks acted so dishonestly they should be voted out of office. 2. Writing bad checks is not a serious enough mistake to disqualify someone for office. 3. Representatives who wrote only a few bad checks should not be voted out of office just for that reason, but representatives who wrote a lot of bad checks should be voted out of office. 8. DK, [VOLUNTEERED] 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in E7 ============================== VAR M925717 92POST: E7b. CHECKPOINT COLUMNS 1526 - 1526 NUMERIC E7b. INTERVIEWER CHECKPOINT ---------------------------- 1. CANDIDATE LIST INCLUDES NAME #33 OR #34 (12, 14, 21, 24 in V3021) 2. NO NAME #33 OR #34 IN LIST (45, 51, 52, 55, 65, 85 in V3021) 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in E7 ============================== VAR M925718 92POST: E7c. COLUMNS 1527 - 1527 NUMERIC E7c. Did (NAME # 33, 34) write any bad checks? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E7; 2 in E7b ============================== VAR M925719 92POST: E7d. COLUMNS 1528 - 1528 NUMERIC E7d. Did (NAME # 33, 34) write a lot of bad checks, or just a few? ------------------------------------------------------------ 1. A LOT 2. A FEW 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 45, 51, 52, 55, 65, 85 in V3021; 3,4 in V5002; 5, 8-9 in E7; 2 in E7b; 5, 8-9 in E7c ============================== VAR M925720 92POST: E8. COLUMNS 1529 - 1529 NUMERIC E8. Do you think that representatives who wrote bad checks broke any laws? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in E7 ============================== VAR M925721 92POST: F1. COLUMNS 1530 - 1530 NUMERIC F1. Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs most of the time, some of the time, only now and then, or hardly at all? ----------------------------------------------------------- 1. MOST OF THE TIME 2. SOME OF THE TIME 3. ONLY NOW AND THEN 4. HARDLY AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925722 92POST: F2(1). MIP COLUMNS 1531 - 1533 NUMERIC F2(1). What do you think are the most important problems facing this country? (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO") <1st mention> ----------------------------------------------------------- See the IMPORTANT PROBLEMS Master Code. SEE NOTE(S) 6 001. . . 997. 998. DK (V5722 only) 999. NA (V5722 only) 000. Inap, no post-interview; 3,4 in V5002; no problem mentioned ============================== VAR M925723 92POST: F2(2). COLUMNS 1534 - 1536 NUMERIC F2(2). What do you think are the most important problems facing this country? (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO") <2nd mention> ----------------------------------------------------------- See the IMPORTANT PROBLEMS Master Code. SEE NOTE(S) 6 001. . . 997. 000. Inap, no post-interview; 3,4 in V5002; no problem mentioned ============================== VAR M925724 92POST: F2(3). COLUMNS 1537 - 1539 NUMERIC F2(3). What do you think are the most important problems facing this country? (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO") <3rd mention> ----------------------------------------------------------- See the IMPORTANT PROBLEMS Master Code. SEE NOTE(S) 6 001. . . 997. 000. Inap, no post-interview; 3,4 in V5002; no problem mentioned ============================== VAR M925725 92POST: F3. CHECKPOINT COLUMNS 1540 - 1540 NUMERIC F3. INTERVIEWER CHECKPOINT --------------------------- 1. R HAS NOT MENTIONED ANY PROBLEMS; 998-999 in F2 2. R HAS MENTIONED ONLY ONE PROBLEM 3. ALL OTHERS 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M925726 92POST: F4. COLUMNS 1541 - 1543 NUMERIC F4. Of those you've mentioned, what would you say is the single most important problem the country faces? --------------------------------------------------------- If R mentioned only one problem in F2, that response has been duplicated here. See the IMPORTANT PROBLEMS Master Code. SEE NOTE(S) 6 001. . . 997. 998. DK 999. NA 000. Inap, no post-interview; 3,4 in V5002; 1-2 in F3 ============================== VAR M925727 92POST: F5. COLUMNS 1544 - 1544 NUMERIC F5. How good a job is the government in Washington doing in dealing with this problem, a good job, only fair, or a poor job? ------------------------------------------------------------ 1. GOOD JOB 3. ONLY FAIR 5. POOR JOB 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 1 in F3 ============================== VAR M925728 92POST: F6. COLUMNS 1545 - 1545 NUMERIC F6. Which political party do you think would be most likely to get the government to do a better job in dealing with this problem--the Republicans, the Democrats, or wouldn't there be much difference between them? ------------------------------------------------------------ 1. REPUBLICANS 3. NOT MUCH DIFFERENCE 5. DEMOCRATS 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 1 in F3 ============================== VAR M925729 92POST: F7. COLUMNS 1546 - 1546 NUMERIC F7. Next, I am going to ask you to choose which of two statements I read comes closer to your own opinion. You might agree to some extent with both, but we want to know which one is closer to your views. [IF NECESSARY, PROBE "Which Closer" ONCE EACH QUESTION] One, the less government the better; or two, there are more things that government should be doing? ----------------------------------------------------------- NOTE: Code boxes GOVERNMENT for F7 & F8 were interchanged in the questionnaire. Interviewers were to edit the instrument to make sure that the post-interview correct code was marked. 1. LESS GOVERNMENT 2. MORE THINGS GOVERNMENT SHOULD DO 3. BOTH, DEPENDS (VOLUNTEERED) 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925730 92POST: F8. COLUMNS 1547 - 1547 NUMERIC F8. One, we need a strong government to handle today's complex economic problems; or two, the free market can handle these problems without government being involved? -------------------------------------------------------- 1. STRONG GOVERNMENT 2. FREE MARKET 3. BOTH, DEPENDS (VOLUNTEERED) 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925731 92POST: F9. COLUMNS 1548 - 1548 NUMERIC F9. One, the main reason government has become bigger over the years is because it has gotten involved in things that people should do for themselves; or two, government has become bigger because the problems we face have become bigger? ----------------------------------------------------------- 1. GOTTEN INVOLVED IN THINGS 2. PROBLEMS WE FACE ARE BIGGER 3. BOTH, DEPENDS (VOLUNTEERED) 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925732 92POST: F10. COLUMNS 1549 - 1549 NUMERIC F10. Do you think it is better when one party controls both the presidency and Congress; better when control is split between the Democrats and Republicans, or doesn't it matter? ------------------------------------------------------------ 1. ONE PARTY CONTROL BOTH 2. CONTROL IS SPLIT 3. IT DOESN'T MATTER 8. DK 9. NA 0. Inap, no post-interview There are no variables in range 5733-5800 ============================== VAR M925801 92POST: G1. PTY SUPPORT COLUMNS 1550 - 1550 NUMERIC G1. The political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the political parties call you up or come around and talk to you about the campaign this year? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925802 92POST: G1A.WHICH PTY COLUMNS 1551 - 1551 NUMERIC G1a. Which party was that? ------------------------------------------------------- 1. REPUBLICAN 3. BOTH 5. DEMOCRATIC 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 5, 8-9 in G1 ============================== VAR M925803 92POST: G2.OTHER SUPPORT COLUMNS 1552 - 1552 NUMERIC G2. Other than someone from the two major parties, did anyone else call you up or come around and talk to you about supporting specific candidates in this last election? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925804 92POST: G2A(1).CAND SUPPT COLUMNS 1553 - 1554 NUMERIC G2a(1). Which candidate(s) did (he/she/they) ask you to support? <1st mention> -------------------------------------------------------- See SUPPORT Master Code for additional information. SEE NOTE(S) 20 REPUBLICAN: Presidential 01. Incumbent Presidential Candidate, Republican Senate 12. U.S. Senate candidate, Republican, in race w/o incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate challenger candidate, Republican 28. U.S. Senate, no race in state (used ONLY in error by R) House 32. U.S. House candidate, Republican, in race w/o incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in race w/o incumbent Miscellaneous 72. NA which candidate(s), Republican 74. Other candidate not listed above, Republican 76. Republican party 94. Republican Candidate in second race DEMOCRATIC: Presidential 04. Nonincumbent Presidential Candidate, Democratic Senate 11. U.S. Senate candidate, Democratic, in race w/o incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate challenger candidate, Democratic 93. Democratic Candidate in Second Race House 31. U.S. House candidate, Democratic, in race w/o incumbent, incl. 2nd Republican candidate in LA06. See LA06 note on V3021. Use V3021=45 to exclude these cases. 33. U.S. House incumbent candidate, Democratic 35. U.S. House challenger candidate, Democratic 41. Retiring U.S. House Representative (used ONLY in error by R) Miscellaneous 71. NA which candidate(s), Democratic 73. Other candidate not listed above, Democratic 75. Democratic party OTHER: Presidential 05. Presidential candidate, independent Miscellaneous 80. Other minor party or minor independent candidate--any office level 85. 3rd/other party 95. Other candidate(s) for state/local offices (office given but party NA), or non-party candidate 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but office and party NA 98. DK, CAN'T REMEMBER (G2a-first mention only) 99. NA (G2a-first mention only) 00. Inap, no post-interview; 5, 8-9 in G2; 98-99 in G2a; no further mention ============================== VAR M925805 92POST: G2A(2). COLUMNS 1555 - 1556 NUMERIC G2a(2). Which candidate(s) did (he/she/they) ask you to support? <2nd mention> -------------------------------------------------------- See SUPPORT Master Code for additional information. SEE NOTE(S) 20 REPUBLICAN: Presidential 01. Incumbent Presidential Candidate, Republican Senate 12. U.S. Senate candidate, Republican, in race w/o incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate challenger candidate, Republican House 32. U.S. House candidate, Republican, in race w/o incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House challenger candidate, Republican Miscellaneous 72. NA which candidate(s), Republican 74. Other candidate not listed above, Republican 76. Republican party DEMOCRATIC: Presidential 04. Nonincumbent Presidential Candidate, Democratic Senate 11. U.S. Senate candidate, Democratic, in race w/o incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in race w/o incumbent, incl. 2nd Republican candidate in LA06. See LA06 note on V3021. Use V3021=45 to exclude these cases. 33. U.S. House incumbent candidate, Democratic 35. U.S. House challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic Miscellaneous 71. NA which candidate(s), Democratic 73. Other candidate not listed above, Democratic 75. Democratic party OTHER: Presidential 05. Presidential candidate, independent Miscellaneous 80. Other minor party or minor independent candidate--any office level 85. 3rd/other party 95. Other candidate(s) for state/local offices (office given but party NA), or non-party candidate 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but office and party NA 00. Inap, no post-interview; 5, 8-9 in G2; 98-99 in G2a; no further mention ============================== VAR M925806 92POST: G2A(3). COLUMNS 1557 - 1558 NUMERIC G2a(3). Which candidate(s) did (he/she/they) ask you to support? <3rd mention> -------------------------------------------------------- See SUPPORT Master Code for additional information. SEE NOTE(S) 20 REPUBLICAN: Presidential 01. Incumbent Presidential Candidate, Republican Senate 12. U.S. Senate candidate, Republican, in race w/o incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate challenger candidate, Republican House 32. U.S. House candidate, Republican, in race w/o incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in race w/o incumbent Miscellaneous 72. NA which candidate(s), Republican 74. Other candidate not listed above, Republican 76. Republican party DEMOCRATIC: Presidential 04. Nonincumbent Presidential Candidate, Democratic Senate 11. U.S. Senate candidate, Democratic, in race w/o incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in race w/o incumbent, incl. 2nd Republican candidate in LA06. See LA06 note on V3021. Use V3021=45 to exclude these cases. 33. U.S. House incumbent candidate, Democratic 35. U.S. House challenger candidate, Democratic Governor 55. Gubernatorial candidate, Democratic, in race w/o incumbent Miscellaneous 71. NA which candidate(s), Democratic 73. Other candidate not listed above, Democratic 75. Democratic party OTHER: Presidential 05. Presidential candidate, independent Miscellaneous 80. Other minor party or minor independent candidate--any office level 85. 3rd/other party 95. Other candidate(s) for state/local offices (office given but party NA), or non-party candidate 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but office and party NA 00. Inap, no post-interview; 5, 8-9 in G2; 98-99 in G2a; no further mention ============================== VAR M925807 92POST: G3.R TALK OTHERS COLUMNS 1559 - 1559 NUMERIC G3. We would like to find out about some of the things people do to help a party or a candidate win an election. During the campaign, did you talk to any people and try to show them why they should vote for or against one of the parties or candidates? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925808 92POST: G3A.OTHERS TALK R COLUMNS 1560 - 1560 NUMERIC G3a. During the past year, have you been contacted directly by any person, intent on showing you why you should vote for or against one of the candidates or parties? ------------------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925809 92POST: G4.CMPAIGN BUTTN COLUMNS 1561 - 1561 NUMERIC G4. Did you wear a campaign button, put a campaign sticker on your car, or place a sign in your window or in front of your house? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925810 92POST: G5.R GO TO MEETGS COLUMNS 1562 - 1562 NUMERIC G5. Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925811 92POST: G5A.CALL TO MTG COLUMNS 1563 - 1563 NUMERIC G5a. Did anyone call you up or come around to ask you to go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? ------------------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925812 92POST: G6.OTHER WORK COLUMNS 1564 - 1564 NUMERIC G6. Did you do any (other) work for one of the parties or candidates? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925813 92POST: G6A.CALL-OTH WORK COLUMNS 1565 - 1565 NUMERIC G6a. Did anyone call you to ask you to do any (other) work for one of the parties or candidates? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925814 92POST: G7.$1 CHECKOFF COLUMNS 1566 - 1566 NUMERIC G7. Did you use the one-dollar check-off option on your federal income tax return to make a political contribution this year? ---------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925815 92POST: G8.$ TO CANDIDATE COLUMNS 1567 - 1567 NUMERIC G8. During an election year people are often asked to make a contribution to support campaigns. Did you give money to an individual candidate running for public office? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925816 92POST: G8A.WHCH PTY-CAND COLUMNS 1568 - 1568 NUMERIC G8a. Which party did that candidate belong to? ----------------------------------------------- 1. REPUBLICAN 3. BOTH 5. DEMOCRATIC 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 5, 8-9 in G8 ============================== VAR M925817 92POST: G9.$ TO PARTY COLUMNS 1569 - 1569 NUMERIC G9. Did you give money to a political party during this election year? -------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925818 92POST: G9A.WHCH PTY-$ COLUMNS 1570 - 1570 NUMERIC G9a. To which party did you give money? ---------------------------------------- 1. REPUBLICAN 3. BOTH 5. DEMOCRATIC 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 5, 8-9 in G9 ============================== VAR M925819 92POST: G10.$ TO OTHER COLUMNS 1571 - 1571 NUMERIC G10. Did you give any money to any other group that supported or opposed candidates? ---------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925820 92POST: G11.TALK REG/VOTE COLUMNS 1572 - 1572 NUMERIC G11. During the campaign this year, did anyone talk to you about registering to vote or getting out to vote? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925821 92POST: G12.MAIL $ REQST COLUMNS 1573 - 1573 NUMERIC G12. During the past year did you receive any requests through the mail asking you to contribute money to a candidate, a party or an issue group? ------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M925822 92POST: G12A.HOW MANY COLUMNS 1574 - 1574 NUMERIC G12a. Did you get quite a few or not very many requests through the mail asking you to contribute money to a candidate, a party or issue group? -------------------------------------------------------- 1. QUITE A FEW 5. NOT VERY MANY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in G12 ============================== VAR M925823 92POST: G12B.GIVE $ COLUMNS 1575 - 1575 NUMERIC G12b. Did you contribute any money because of the mail you received? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in G12 ============================== VAR M925824 92POST: G13.PHON $ REQST COLUMNS 1576 - 1576 NUMERIC G13. In the past year, did you receive any telephone calls asking you to contribute money to a candidate, a party, or an issue group? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M925825 92POST: G13A.HOW MANY COLUMNS 1577 - 1577 NUMERIC G13a. Did you get quite a few (of these calls) or not very many? ----------------------------------------------------------- 1. QUITE A FEW 5. NOT VERY MANY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in G13 ============================== VAR M925826 92POST: G13B.GIVE $ COLUMNS 1578 - 1578 NUMERIC G13b. Did you contribute any money because of (this/these) telephone call(s)? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in G13 ============================== VAR M925827 92POST: G14.FTF $ REQ COLUMNS 1579 - 1579 NUMERIC G14. During the past year, have you been contacted directly, in person, and asked to contribute money to a candidate, a party, or an issue group? ------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M925828 92POST: G14A.HOW MANY COLUMNS 1580 - 1580 NUMERIC G14a. Did you get quite a few or not very many (contacts)? ----------------------------------------------------------- 1. QUITE A FEW 5. NOT VERY MANY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in G14 ============================== VAR M925829 92POST: G14B.GIVE $ COLUMNS 1581 - 1581 NUMERIC G14b. Did you contribute any money because of (this/these) personal contact(s)? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002; 5, 8-9 in G14 There are no variables in range 5830-5900 ============================== VAR M925901 92POST: H1.PTY DIFFRNCES COLUMNS 1582 - 1582 NUMERIC H1. Do you think there are any important differences in what the Republicans and Democrats stand for? -------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925902 92POST: H1A(1)-1.DIFF1 COLUMNS 1583 - 1583 NUMERIC H1a-1(1). What are those differences? --------------------------------------------------------- Responses that refer specifically to the candidates rather than parties should be coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the response should be coded with the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK (code in V5902 only) 9. NA (code in V5902 only) 0. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925903 92POST: H1A(2)-1.CONTENT1 COLUMNS 1584 - 1586 NUMERIC H1a-2(1). CONTENT CODE --------------------------------------------------------- See PARTY DIFFERENCES Master Code. SEE NOTE(S) 7 001. . . 997. 998. DK (code in 5903 only; 8 in 5902) 999. NA (code in 5903 only; 9 in 5902) 000. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925904 92POST: H1A(1)-2.DIFF2 COLUMNS 1587 - 1587 NUMERIC H1a-1(2). What are those differences? --------------------------------------------------------- Responses that refer specifically to the candidates rather than parties should be coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the response should be coded with the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925905 92POST: H1A(2)-2.CONTENT2 COLUMNS 1588 - 1590 NUMERIC H1a-2(2). CONTENT CODE --------------------------------------------------------- See PARTY DIFFERENCES Master Code. SEE NOTE(S) 7 001. . . 997. 000. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925906 92POST: H1A(1)-3.DIFF3 COLUMNS 1591 - 1591 NUMERIC H1a-1(3). What are those differences? --------------------------------------------------------- Responses that refer specifically to the candidates rather than parties should be coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the response should be coded with the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925907 92POST: H1A(2)-3.CONTENT3 COLUMNS 1592 - 1594 NUMERIC H1a-2(3). CONTENT CODE --------------------------------------------------------- See PARTY DIFFERENCES Master Code. SEE NOTE(S) 7 001. . . 997. 000. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925908 92POST: H1A(1)-4.DIFF4 COLUMNS 1595 - 1595 NUMERIC H1a-1(4). What are those differences? --------------------------------------------------------- Responses that refer specifically to the candidates rather than parties should be coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the response should be coded with the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925909 92POST: H1A(2)-4.CONTENT4 COLUMNS 1596 - 1598 NUMERIC H1a-2(4). CONTENT CODE --------------------------------------------------------- See PARTY DIFFERENCES Master Code. SEE NOTE(S) 7 001. . . 997. 000. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925910 92POST: H1A(1)-5.DIFF5 COLUMNS 1599 - 1599 NUMERIC H1a-1(5). What are those differences? --------------------------------------------------------- Responses that refer specifically to the candidates rather than parties should be coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the response should be coded with the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925911 92POST: H1A(2)-5.CONTENT5 COLUMNS 1600 - 1602 NUMERIC H1a-2(5). CONTENT CODE --------------------------------------------------------- See PARTY DIFFERENCES Master Code. SEE NOTE(S) 7 001. . . 997. 000. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925912 92POST: H1A(1)-6.DIFF6 COLUMNS 1603 - 1603 NUMERIC H1a-1(6). What are those differences? --------------------------------------------------------- Responses that refer specifically to the candidates rather than parties should be coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the response should be coded with the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925913 92POST: H1A(2)-6.CONTENT6 COLUMNS 1604 - 1606 NUMERIC H1a-2(6). CONTENT CODE --------------------------------------------------------- See PARTY DIFFERENCES Master Code. SEE NOTE(S) 7 001. . . 997. 000. Inap, no post-interview; 5, 8-9 in H1; 8-9 in H1a; no further mention ============================== VAR M925914 92POST: H2.PTY MOR CNSRTV COLUMNS 1607 - 1607 NUMERIC H2. Would you say that one of the parties is more conservative than the other at the national level? -------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925915 92POST: H2A.WHICH PTY COLUMNS 1608 - 1608 NUMERIC H2a. Which party is more conservative? --------------------------------------- 1. DEMOCRATS 5. REPUBLICANS 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 5, 8-9 in H2 ============================== VAR M925916 92POST: H3/A.QUAYLE OFFCE COLUMNS 1609 - 1609 NUMERIC H3. Now we have a set of questions concerning various public figures. We want to see how much information about them gets out to the public from television, newspapers and the like. The first name is Dan Quayle. What job or political office does he now hold? H3a. DAN QUAYLE ----------------------------------------------------------- 1. Correctly identifies Quayle as the Vice President 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA 0. Inap, no post-interview ============================== VAR M925917 92POST: H3B.REHNQUIST OFF COLUMNS 1610 - 1610 NUMERIC H3b. William Rehnquist (pron. Renn-Kwist) --------------------------------------------------------- 1. Correctly identifies Rehnquist as Chief Justice of the Supreme Court 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA 0. Inap, no post-interview ============================== VAR M925918 92POST: H3C.YELTSIN OFFCE COLUMNS 1611 - 1611 NUMERIC H3c. Boris Yeltsin ----------------------------------------------- 1. Correctly identifies Yeltsin as President of Russia 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA 0. Inap, no post-interview ============================== VAR M925919 92POST: H3D.FOLEY OFFCE COLUMNS 1612 - 1612 NUMERIC H3d. Tom Foley ------------------------------------------- 1. Correctly identifies Foley as Speaker of the House of Representatives 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA 0. Inap, no post-interview ============================== VAR M925920 92POST: H4.LAW CONSTITNL COLUMNS 1613 - 1613 NUMERIC H4. Who has the final responsibility to decide if a law is constitutional or not... is it the President, the Congress, the Supreme Court, or don't you know? ------------------------------------------------------------ 1. PRESIDENT 2. CONGRESS 3. SUPREME COURT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925921 92POST: H5.NOMINATE JUDGE COLUMNS 1614 - 1614 NUMERIC H5. And whose responsibility is it to nominate judges to the Federal Courts... the President, the Congress, the Supreme Court, or don't you kow? --------------------------------------------------------- 1. PRESIDENT 2. CONGRESS 3. SUPREME COURT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925922 92POST: H6.TAX FOR SERVCS COLUMNS 1615 - 1615 NUMERIC H6. Would you personally be willing to pay more in taxes so that the government could spend more on the services you favor or would you rather keep your taxes the same even if this meant the government couldn't increase its spending as you would like? ------------------------------------------------------------ 1. PAY MORE 2. KEEP TAXES THE SAME 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925923 92POST: H7.GAY DSCRMN LAW COLUMNS 1616 - 1616 NUMERIC H7. Do you favor or oppose laws to protect homosexuals against job discrimination? ------------------------------------------------------- 1. YES (Favor) 5. NO (Oppose) 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925924 92POST: H7A/B.STRNGLY/NOT COLUMNS 1617 - 1617 NUMERIC H7a. Do you favor such laws strongly or not strongly? H7b. Do you oppose such laws strongly or not strongly? ------------------------------------------------------------ 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 8-9 in H7 ============================== VAR M925925 92POST: H8.GAYS ARMED FCS COLUMNS 1618 - 1618 NUMERIC H8. Do you think homosexuals should be allowed to serve in the United States Armed Forces or don't you think so? ----------------------------------------------------------- 1. YES, THINK SO 5. DON'T THINK SO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925926 92POST: H8A/B.STRNGLY/NOT COLUMNS 1619 - 1619 NUMERIC H8a. Do you feel strongly or not strongly that homosexuals should be allowed to serve in the United States Armed Forces? H8b. Do you feel strongly or not strongly that homosexuals should not be allowed to serve in the United States Armed Forces? ----------------------------------------------------------- 1. FEEL STRONGLY SHOULD BE ALLOWED 2. FEEL NOT STRONGLY SHOULD BE ALLOWED 4. FEEL NOT STRONGLY SHOULD NOT BE ALLOWED 5. FEEL STRONGLY SHOULD NOT BE ALLOWED 8. DK 9. NA 0. Inap, no post-interview; 8-9 in H8 ============================== VAR M925927 92POST: H9.GAYS ADOPT COLUMNS 1620 - 1620 NUMERIC H9. Do you think gay or lesbian couples, in other words, homosexual couples, should be legally permitted to adopt children? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925928 92POST: H9A/B.STRNGLY/NOT COLUMNS 1621 - 1621 NUMERIC H9a. Do you feel strongly or not strongly that homosexuals couples should be legally permitted to adopt children? H9b. Do you feel strongly or not strongly that homosexuals couples should not be legally permitted to adopt children? ----------------------------------------------------------- 1. FEEL STRONGLY SHOULD BE PERMITTED 2. FEEL NOT STRONGLY SHOULD BE PERMITTED 4. FEEL NOT STRONGLY SHOULD NOT BE PERMITTED 5. FEEL STRONGLY SHOULD NOT BE PERMITTED 8. DK 9. NA 0. Inap, no post-interview; 8-9 in H9 ============================== VAR M925929 92POST: J1.CVL RGHTS FAST COLUMNS 1622 - 1622 NUMERIC J1. Some say that the civil rights people have been trying to push too fast. Others feel they haven't pushed fast enough. How about you: Do you think that civil rights leaders are trying to push too fast, are going too slowly, or are they moving at about the right speed? ----------------------------------------------------------- 1. TOO FAST 3. ABOUT RIGHT 5. TOO SLOWLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925930 92POSNT:J2.BLKS POS CHNG COLUMNS 1623 - 1623 NUMERIC J2. In the past few years we have heard a lot about improving the position of black people in this country. How much real change do you think there has been in the position of black people in the past few years; a lot, some, or not much at all? ------------------------------------------------------------ 1. A LOT 3. SOME 5. NOT MUCH AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925931 92POST: J3.B/W SCHL KIDS COLUMNS 1624 - 1624 NUMERIC J3. Some people say that the government in Washington should see to it that white and black children go to the same schools. Others claim that this is not the government's business. Have you been interested enough in this question to favor one side over the other? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925932 92POST: J3A.GVT INTGR SCH COLUMNS 1625 - 1625 NUMERIC J3a. Do you think the government in Washington should... --------------------------------------------------------- 1. ...see to it that white and black children go to the same schools? 5. ...stay out of this area as it is not the government's business? 7. R; DEPENDS 8. DK 9. NA 0. Inap, no post-interview; 5, 8-9 in J3 ============================== VAR M925933 92POST: J4.DEATH PENALTY COLUMNS 1626 - 1626 NUMERIC J4. Do you favor or oppose the death penalty for persons convicted of murder? --------------------------------------------------------- 1. FAVOR 3. DEPENDS 5. OPPOSE 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925934 92POST: J4A/B.STRNGLY/NOT COLUMNS 1627 - 1627 NUMERIC J4a. Do you favor the death penalty for persons convicted of murder strongly or not strongly? J4b. Do you oppose the death penalty for persons convicted of murder strongly or not strongly? ----------------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 3, 8-9 in J4 ============================== VAR M925935 92POST: J5.PREF HIR-BLKS COLUMNS 1628 - 1628 NUMERIC J5. Some people say that because of past discrimination, blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it gives blacks advantages they haven't earned. What about your opinion--are you for or against preferential hiring and promotion of blacks? ---------------------------------------------------------- 1. FOR 5. AGAINST 8. DON'T KNOW; REFUSED 9. NA 0. Inap, no post-interview ============================== VAR M925936 92POST: J5A/B.STRNGLY/NOT COLUMNS 1629 - 1629 NUMERIC J5a. Do you favor preference in hiring and promotion strongly or not strongly? J5b. Do you oppose preference in hiring and promotion strongly or not strongly? ------------------------------------------------------ 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 8-9 in J5 ============================== VAR M925937 92POST: J6.GVT-BLK HIRING COLUMNS 1630 - 1630 NUMERIC J6. Some people feel that if black people are not getting fair treatment in jobs, the government in Washington ought to see to it that they do. Others feel that this is not the federal government's business. Have you had enough interest in this question to favor one side over the other? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M925938 92POST: J6A.R OPINION COLUMNS 1631 - 1631 NUMERIC J6a. How do you feel? Should the government in Washington see to it that black people get fair treatment in jobs or is this not the federal government's business? ------------------------------------------------------------ 1. SEE TO IT THAT BLACK PEOPLE GET FAIR TREATMENT IN JOBS 5. NOT THE FEDERAL GOVERNMENT'S BUSINESS 7. OTHER; DEPENDS 8. DK 9. NA 0. Inap, no post-interview; 5, 8-9 in J6 ============================== VAR M925939 92POST: J7.P/XS CHECKPT COLUMNS 1632 - 1632 NUMERIC J7. INTERVIEWER CHECKPOINT --------------------------- 1. PANEL RESPONDENT (1, 3 in V5002) 2. CROSS-SECTION RESPONDENT (2 in V5002) 0. Inap, no post-interview ============================== VAR M925940 92POST: J8/A.FGN POL-ENGY COLUMNS 1633 - 1633 NUMERIC J8. (RB, P. 6) I am going to read a list of possible foreign policy goals that the United States might have. For each one, please say how important you think it should be? J8a. Should securing adequate supplies of energy be a very important foreign policy goal, a somewhat important foreign policy goal, or not an important foreign policy goal at all? ------------------------------------------------------------ 1. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 5. NOT IMPORTANT AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 2 in J7 ============================== VAR M925941 92POST: J8B.FGN POL-NUCLR COLUMNS 1634 - 1634 NUMERIC J8b. (How about...) Preventing the spread of nuclear weapons? ---------------------------------------------------------- 1. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 5. NOT IMPORTANT AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 2 in J7 ============================== VAR M925942 92POST: J8C.FGN POL-POLLN COLUMNS 1635 - 1635 NUMERIC J8c. Reducing environmental pollution around the world? ----------------------------------------------------- 1. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 5. NOT IMPORTANT AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 2 in J7 ============================== VAR M925943 92POST: J8D.FGN POL-PROTC COLUMNS 1636 - 1636 NUMERIC J8d. Protecting weaker nations against foreign aggression? ------------------------------------------------------ 1. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 5. NOT IMPORTANT AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 2 in J7 ============================== VAR M925944 92POST: J8E.FGN POL-DEMOC COLUMNS 1637 - 1637 NUMERIC J8e. Helping to bring a democratic form of government to other nations? ------------------------------------------------------------ 1. VERY IMPORTANT 3. SOMEWHAT IMPORTANT 5. NOT IMPORTANT AT ALL 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 2 in J7 ============================== VAR M925945 92POST: J9.SCHOOL PRAYER COLUMNS 1638 - 1638 NUMERIC J9. (RB, P. 7) Which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. ------------------------------------------------------------ 1. BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 2. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 3. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN, AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 4. BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M925946 92POST: J9A.STRNGLY/NOT COLUMNS 1639 - 1639 NUMERIC J9a. Do you favor that choice strongly or not strongly? -------------------------------------------------------- 1. STRONGLY 5. NOT STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 7-9 in J9 ============================== VAR M925947 92POST: J10.COLLG QUOTA COLUMNS 1640 - 1640 NUMERIC J10. Some people say that because of past discrimination it is sometimes necessary for colleges and universities to reserve openings for black students. Others oppose quotas because they say quotas give blacks advantages they haven't earned. What about your opinion--are you for or against quotas to admit black students? ------------------------------------------------------------ 1. FOR 5. AGAINST 8. DON'T KNOW; REFUSED 9. NA 0. Inap, no post-interview ============================== VAR M925948 92POST: J10A/B.STNGLY/NOT COLUMNS 1641 - 1641 NUMERIC J10a. Do you favor quotas strongly or not strongly? J10b. Do you oppose quotas strongly or not strongly? ----------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 8-9 in J10 ============================== VAR M925949 92POST: J11.APP/DIS CONGR COLUMNS 1642 - 1642 NUMERIC J11. In general, do you approve or disapprove of the way the U.S. Congress has been handling its job? --------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925950 92POST: J11A/B.STNGLY/NOT COLUMNS 1643 - 1643 NUMERIC J11a. Do you approve strongly or not strongly? J11b. Do you disapprove strongly or not strongly? -------------------------------------------------- 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 8-9 in J11 ============================== VAR M925951 92POST: J12.# IN HSE-PTY COLUMNS 1644 - 1644 NUMERIC J12. Do you happen to know which party had the most members in the House of Representatives in Washington before the election (this/last) month? (IF NECESSARY: Which one?) ------------------------------------------------------------ 1. REPUBLICANS 5. DEMOCRATS 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M925952 92POST: J13.# IN SEN-PTY COLUMNS 1645 - 1645 NUMERIC J13. Do you happen to know which party had the most members in the U.S. Senate before the election (this/last) month? (IF NECESSARY: Which one?) ------------------------------------------------------------ 1. REPUBLICANS 5. DEMOCRATS 8. NO, DON'T KNOW 9. NA 0. Inap, no post-interview There are no variables in range 5953-6000 ============================== VAR M926001 92POST: K1.WOMN NEWS-ATTN COLUMNS 1646 - 1646 NUMERIC K1. (RB, P.8) When reading or listening to the news, how much attention do you pay to issues that especially affect women? A lot, some, a little, or not at all? ---------------------------------------------------------- 1. A LOT 2. SOME 3. A LITTLE 4. NOT AT ALL 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926002 92POST: K2.R FEMINIST COLUMNS 1647 - 1647 NUMERIC K2. Do you think of yourself as a feminist or not? --------------------------------------------------- 1. YES 3. DON'T THINK IN THOSE TERMS (VOLUNTEERED) 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926003 92POST: K2A.STRONG/NOT COLUMNS 1648 - 1648 NUMERIC K2a. Would you describe yourself as a strong feminist or a not so strong feminist? ----------------------------------------------------------- 1. STRONG 2. NOT SO STRONG 8. DK 9. NA 0. Inap, no post-interview; 3, 5, 8-9 in K2 ============================== VAR M926004 92POST: K3.WOMEN-INDV/GRP COLUMNS 1649 - 1649 NUMERIC K3. Some people think that the best way for women to improve their position is for each woman to become better trained and more qualified, and do the best she can as an individual. Others think that while individual effort is important, the best way for women to really improve their position is if they work together. Which is closest to your view: is individual effort enough, or do women also need to work together? ------------------------------------------------------------ 1. INDIVIDUAL EFFORT 2. WOMEN ALSO NEED TO WORK TOGETHER 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926005 92POST: K4.PRIDE-WOMEN COLUMNS 1650 - 1650 NUMERIC K4. (RB, P. 9) How often do you find yourself feeling a sense of pride in the accomplishments of women? Very often, some of the time, occasionally, or almost never? ----------------------------------------------------------- 1. VERY OFTEN 2. SOME OF THE TIME 3. OCCASIONALLY 4. ALMOST NEVER 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926006 92POST: K5.ANG-WMN TREATM COLUMNS 1651 - 1651 NUMERIC K5. (RB, STILL ON P. 9) How often do you find yourself angry about the way women are treated in society? Very often, some of the time, occasionally, or almost never? ------------------------------------------------------- 1. VERY OFTEN 2. SOME OF THE TIME 3. OCCASIONALLY 4. ALMOST NEVER 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926007 92POST: K6.WMN POWR-SOCTY COLUMNS 1652 - 1652 NUMERIC K6. (RB, P. 10) People have different opinions about how much power and influence women have in society compared to men. Thinking about the way things really are in government, business and industry today, do you think men have more power and influence than women, OR that men and women have about equal power and influence, OR, that women have more power and influence than men? ---------------------------------------------------------- 1. MEN HAVE MORE POWER AND INFLUENCE THAN WOMEN 2. MEN AND WOMEN HAVE ABOUT EQUAL POWER AND INFLUENCE 3. WOMEN HAVE MORE POWER AND INFLUNCE THAN MEN 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926008 92POST: K7.AMT SHD HAVE COLUMNS 1653 - 1653 NUMERIC K7. (RB, P. 11) People disagree about how much power and influence they think women ought to have compared to men. Thinking about how you would like things to be in government, business and industry, do you think men should have more power and influence, OR that men and women should have about equal power and influence, OR that women should have more power and influence? ----------------------------------------------------------- 1. MEN SHOULD HAVE MORE POWER AND INFLUENCE THAN WOMEN 2. MEN AND WOMEN SHOULD HAVE ABOUT EQUAL POWER AND INFLUENCE 3. WOMEN SHOULD HAVE MORE POWER AND INFLUENCE THAN MEN 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926009 92POST: K7A/B.STRNGLY/NOT COLUMNS 1654 - 1654 NUMERIC K7a/b. Do you feel strongly or not so strongly about this? ----------------------------------------------------------- 1. FEEL STRONGLY THAT MEN SHOULD HAVE MORE POWER 2. FEEL NOT SO STRONGLY THAT MEN SHOULD HAVE MORE POWER 4. FEEL NOT SO STRONGLY THAT WOMEN SHOULD HAVE MORE POWER 5. FEEL STRONGLY THAT WOMEN SHOULD HAVE MORE POWER 8. DK 9. NA 0. Inap, no post-interview; 2, 8-9 in K7 ============================== VAR M926010 92POST: K8.WMN POWR-FAMLY COLUMNS 1655 - 1655 NUMERIC K8. (RB, P. 12) Thinking about the way things really are in most families, do you think men have more power and influence, OR that men and women have about equal power and influence, OR that women have more power and influence? ------------------------------------------------------------ 1. MEN HAVE MORE POWER AND INFLUENCE THAN WOMEN 2. MEN AND WOMEN HAVE ABOUT EQUAL POWER AND INFLUENCE 3. WOMEN HAVE MORE POWER AND INFLUNCE THAN MEN 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926011 92POST: K9.AMT SHD HAVE COLUMNS 1656 - 1656 NUMERIC K9. (RB, P. 13) In most families, do you think men should have more power and influence, OR that men and women should have about equal power and influence, OR that women should have more power and influence? ----------------------------------------------------------- 1. MEN SHOULD HAVE MORE POWER AND INFLUENCE THAN WOMEN 2. MEN AND WOMEN SHOULD HAVE ABOUT EQUAL POWER AND INFLUENCE 3. WOMEN SHOULD HAVE MORE POWER AND INFLUENCE THAN MEN 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926012 92POST: K9A/B.STRNGLY/NOT COLUMNS 1657 - 1657 NUMERIC K9a/b. Do you feel strongly or not so strongly about this? ----------------------------------------------------------- 1. FEEL STRONGLY THAT MEN SHOULD HAVE MORE POWER 2. FEEL NOT SO STRONGLY THAT MEN SHOULD HAVE MORE POWER 4. FEEL NOT SO STRONGLY THAT WOMEN SHOULD HAVE MORE POWER 5. FEEL STRONGLY THAT WOMEN SHOULD HAVE MORE POWER 8. DK 9. NA 0. Inap, no post-interview; 2, 8-9 in 6011 ============================== VAR M926013 92POST: L1.NATL GOAL-1 COLUMNS 1658 - 1658 NUMERIC L1. (RB, P. 14) For a nation, it is not always possible to obtain everything one might wish. On page ten of the booklet, several different goals are listed. If you had to choose among them, which one seems most desirable to you? ----------------------------------------------------------- 1. MAINTAINING ORDER IN THE NATION 2. GIVING THE PEOPLE MORE SAY IN IMPORTANT POLITICAL DECISIONS 3. FIGHTING RISING PRICES 4. PROTECTING FREEDOM OF SPEECH 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926014 92POST: L1A.NATL GOAL-2 COLUMNS 1659 - 1659 NUMERIC L1a. Which one would be your second choice? -------------------------------------------------------- Use same code as L1 1. MAINTAINING ORDER IN THE NATION 2. GIVING THE PEOPLE MORE SAY IN IMPORTANT POLITICAL DECISIONS 3. FIGHTING RISING PRICES 4. PROTECTING FREEDOM OF SPEECH 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 8-9 in L1 ============================== VAR M926015 92POST: L2.GOVT TOO PWRFL COLUMNS 1660 - 1660 NUMERIC L2. Some people are afraid the government in Washington is getting too powerful for the good of the country and the individual person. Others feel that the government in Washington is not getting too strong. Do you have an opinion on this or not? ------------------------------------------------------------ 46 cases are NA in L2 due to an error in the skip instructions for DK in L1. 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926016 92POST: L2A.R OPINION COLUMNS 1661 - 1661 NUMERIC L2a. What is your feeling, do you think the government is getting too powerful or do you think the government is not getting too strong? ---------------------------------------------------------- 1. GOVERNMENT TOO POWERFUL 5. GOVERNMENT NOT GETTING TOO STRONG 7. OTHER; DEPENDS, SPECIFY 8. DK 9. NA 0. Inap, no post-interview; 5, 8-9 in L2 ============================== VAR M926017 92POST: L2B.SHD BE MORE P COLUMNS 1662 - 1662 NUMERIC (GOVERNMENT NOT GETTING TOO STRONG) L2b. Do you think the government should become more powerful or should it stay the way it is? ---------------------------------------------------- 1. BECOME MORE POWERFUL 5. STAY THE WAY IT IS 8. DK 9. NA 0. Inap, no post-interview; 5, 8-9 in L2; 1, 7-9 in L2a ============================== VAR M926018 92POST: L2C.PTY FAV PWFL COLUMNS 1663 - 1663 NUMERIC L2c. Which party do you think is more likely to favor a powerful government in Washington -- the Democrats, the Republicans, or wouldn't there be much difference between them on this? --------------------------------------------------------- 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 5, 8-9 in L2; 7-9 in L2a; 5, 8-9 in L2b ============================== VAR M926019 92POST: L3/A.CHLD-IND/RSP COLUMNS 1664 - 1664 NUMERIC L3. Although there are a number of qualities that people feel that children should have, every person thinks that some are more important than others. I am going to read you pairs of desirable qualities. For each pair please tell me which one you think is more important for a child to have: (Both should be volunteered) L3a. Independence or respect for elders ------------------------------------------------------------ 1. INDEPENDENCE 3. BOTH (VOL) 5. RESPECT FOR ELDERS 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926020 92POST: L3B.-OBED/SLF REL COLUMNS 1665 - 1665 NUMERIC L3b. Obedience or self-reliance ----------------------------------------------------------- 1. OBEDIENCE 3. BOTH (VOL) 5. SELF-RELIANCE 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926021 92POST: L3C.-CURIOS/MNNRS COLUMNS 1666 - 1666 NUMERIC L3c. Curiosity or good manners ----------------------------------------------------------- 1. CURIOSITY 3. BOTH (VOL) 5. GOOD MANNERS 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926022 92POST: L3D.CONSID/WL BEH COLUMNS 1667 - 1667 NUMERIC L3d. Being considerate or well behaved ---------------------------------------------------- 1. BEING CONSIDERATE 3. BOTH (VOL) 5. WELL BEHAVED 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926023 92POST: L4.G FUND PRV SCH COLUMNS 1668 - 1668 NUMERIC L4. Some people feel that we should use government funds only to support children who go to public school, others feel that we should use government funds to support children's schooling regardless of whether their parents choose to send them to a public, private or parochial school. How do you feel, or haven't you thought much about it? ----------------------------------------------------------- 1. ONLY PUBLIC 2. BOTH PUBLIC AND PAROCHIAL/PRIVATE 8. DK, HAVEN'T DECIDED 9. NA 0. HAVEN'T THOUGHT MUCH; Inap, no post-interview ============================== VAR M926024 92POST: L5/A.SOC SEE EQLT COLUMNS 1669 - 1669 NUMERIC L5. (RB, P. 15) Using page twelve for your choice of answers, I would like you to tell me how much you agree or disagree with each statement. The first is: L5a. Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926025 92POST: L5B.GN TOO FAR-EQ COLUMNS 1670 - 1670 NUMERIC L5b. We have gone too far in pushing equal rights in this country. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926026 92POST: L5C.WORRY LESS EQ COLUMNS 1671 - 1671 NUMERIC L5c. This country would be better off if we worried less about how equal people are. --------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926027 92POST: L5D.INEQ NOT PROB COLUMNS 1672 - 1672 NUMERIC L5d. It is not really that big a problem if some people have more of a chance in life than others. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926028 92POST: L5E.FEWER PROB-EQ COLUMNS 1673 - 1673 NUMERIC L5e. If people were treated more equally in this country we would have many fewer problems. --------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926029 92POST: L5F.BIG PROB-INEQ COLUMNS 1674 - 1674 NUMERIC L5f. One of the big problems in this country is that we don't give everyone an equal chance. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview There are no variables in range 6030-6100 ============================== VAR M926101 92POST: M1/A.DONT CAR/VOT COLUMNS 1675 - 1675 NUMERIC M1. (RB, STILL ON P. 15) Now I'd like to read some of the kinds of things people tell us when we interview them and ask you whether you agree or disagree with them. I'll read them one at a time and you just tell me whether you agree or disagree. M1a. If people don't care how an election comes out, they shouldn't vote in it. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926102 92POST: M1B.R HAS NO SAY COLUMNS 1676 - 1676 NUMERIC M1b. People like me don't have any say about what the government does. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M6103 92POST: M1C.OFFC DNT CARE MD=0 OR GE 8 M1c. I don't think public officials care much what people like me think. ------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926104 92POST: M1D.GOVT COMPLIC COLUMNS 1678 - 1678 NUMERIC M1d. Sometimes politics and government seem so complicated that a person like me can't really understand what's going on. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926105 92POST: M1E.R GD UNDRSTDG COLUMNS 1679 - 1679 NUMERIC M1e. I feel that I have a pretty good understanding of the important political issues facing our country. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926106 92POST: M1F.R QUALIFIED COLUMNS 1680 - 1680 NUMERIC M1f. I consider myself well-qualified to participate in politics. ---------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926107 92POST: M1G.R DO GOOD JOB COLUMNS 1681 - 1681 NUMERIC M1g. I feel that I could do as good a job in public office as most other people. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926108 92POST: M1H.R BETTR INFMD COLUMNS 1682 - 1682 NUMERIC M1h. I think that I am better informed about politics and government than most people. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926109 92POST: M2(1).MEANING-LIB COLUMNS 1683 - 1685 NUMERIC M2. People have different things in mind when they say that someone's political views are liberal or conserva- tive. M2(1). We'd like to know more about this. Let's start with liberal. What sorts of things do you have in mind when you say someone's political views are liberal? (PROBE: Can you give me an example?) (PROBE: Anything else? UNTIL R SAYS "NO") ------------------------------------------------------------ See LIBERAL-CONSERVATIVE Master Code. SEE NOTE(S) 19 010. . . 903. 998. DK (M2-first mention only) 999. NA (M2-first mention only) 000. Inap, no post-interview; 3,4 in V5002; no further mention ============================== VAR M926110 92POST: M2(2).MEANING-LIB COLUMNS 1686 - 1688 NUMERIC M2(2). What sorts of things do you have in mind when you say someone's political views are liberal? (PROBE: Can you give me an example?) (PROBE: Anything else? UNTIL R SAYS "NO") <2nd mention> ---------------------------------------------------------- See LIBERAL-CONSERVATIVE Master Code. SEE NOTE(S) 19 010. . . 903. 000. Inap, no post-interview; 3,4 in V5002; 998-999 in M2(1); no further mention ============================== VAR M926111 92POST: M2(3).MEANING-LIB COLUMNS 1689 - 1691 NUMERIC M2(3). What sorts of things do you have in mind when you say someone's political views are liberal? (PROBE: Can you give me an example?) (PROBE: Anything else? UNTIL R SAYS "NO") <3rd mention> ---------------------------------------------------------- See LIBERAL-CONSERVATIVE Master Code. SEE NOTE(S) 19 010. . . 903. 000. Inap, no post-interview; 3,4 in V5002; 998-999 in M2(1); no further mention ============================== VAR M926112 92POST: M3(1).MEANG-CONSV COLUMNS 1692 - 1694 NUMERIC M3(1). And what do you have in mind when you say that someone's political views are conservative? (PROBE: Can you give me an example) (PROBE: Anything else? UNTIL R SAYS "NO") <1st mention> ----------------------------------------------------------- See LIBERAL-CONSERVATIVE Master Code. SEE NOTE(S) 19 010. . . 903. 998. DK (V6112 only) 999. NA (V6112 only) 000. Inap, no post-interview; 3,4 in V5002; no further mention ============================== VAR M926113 92POST: M3(2).MEANG-CONSV COLUMNS 1695 - 1697 NUMERIC M3(2). And what do you have in mind when you say that someone's political views are conservative? (PROBE: Can you give me an example) (PROBE: Anything else? UNTIL R SAYS "NO") <2nd mention> ----------------------------------------------------------- See LIBERAL-CONSERVATIVE Master Code. SEE NOTE(S) 19 010. . . 903. 000. Inap, no post-interview; 3,4 in V5002; 998-999 in M3(1); no further mention ============================== VAR M926114 92POST: M3(3).MEANG-CONSV COLUMNS 1698 - 1700 NUMERIC M3(3). And what do you have in mind when you say that someone's political views are conservative? (PROBE: Can you give me an example) (PROBE: Anything else? UNTIL R SAYS "NO") <3rd mention> ----------------------------------------------------------- See LIBERAL-CONSERVATIVE Master Code. SEE NOTE(S) 19 010. . . 903. 000. Inap, no post-interview; 3,4 in V5002; 998-999 in M3(1); no further mention ============================== VAR M926115 92POST: M4/A.WORLD CHNGNG COLUMNS 1701 - 1701 NUMERIC M4. (RB, STILL ON P. 15) Here are several more statements. As before, you can just give me the number of your choice from the booklet. The first statement is... M4a. The world is always changing and we should adjust our view of moral behavior to those changes. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926116 92POST: M4B.SHD BE TOLRNT COLUMNS 1702 - 1702 NUMERIC M4b. We should be more tolerant of people who choose to live according to their own moral standards even if they are very different from our own. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926117 92POST: M4C.TRAD FAM TIES COLUMNS 1703 - 1703 NUMERIC M4c. This country would have many fewer problems if there were more emphasis on traditional family ties. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926118 92POST: M4D.LIFESTY BRKDN COLUMNS 1704 - 1704 NUMERIC M4d. The newer lifestyles are contributing to the breakdown of our society. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926119 92POST: M4E.EXTRAMAR WRNG COLUMNS 1705 - 1705 NUMERIC M4e. It is always wrong for a married person to have sexual relations with someone other than their marriage partner. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926120 92POST: M5.TRUST IN GOVT COLUMNS 1706 - 1706 NUMERIC People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: M5. How much of the time do you think you can trust the government in Washington to do what is right--just about always, most of the time, or only some of the time? ------------------------------------------------------------ 1. JUST ABOUT ALWAYS 3. MOST OF THE TIME 5. SOME OF THE TIME 7. R VOL: NONE OF THE TIME 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926121 92POST: M6.GOVT WAST TAXS COLUMNS 1707 - 1707 NUMERIC M6. Do you think that people in government waste a lot of the money we pay in taxes, waste some of it, or don't waste very much of it? ----------------------------------------------------------- 1. NOT VERY MUCH 3. SOME 5. A LOT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926122 92POST: M7.BIG INTRTS/ALL COLUMNS 1708 - 1708 NUMERIC M7. Would you say the government is pretty much run by a few big interests looking out for themselves or that it is run for the benefit of all the people? ---------------------------------------------------------- 1. FOR THE BENEFIT OF ALL 5. FEW BIG INTERESTS 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926123 92POST: M8.GOVT CROOKED COLUMNS 1709 - 1709 NUMERIC M8. Do you think that quite a few of the people running the government are crooked, not very many are, or do you think hardly any of them are crooked? ------------------------------------------------------------ 1. HARDLY ANY 3. NOT MANY 5. QUITE A FEW 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926124 92POST: M9.ELCTS-PAY ATTN COLUMNS 1710 - 1710 NUMERIC M9. How much do you feel that having elections makes the government pay attention to what the people think -- a good deal, some or not much? ----------------------------------------------------------- 1. A GOOD DEAL 3. SOME 5. NOT MUCH 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926125 92POST: M10.GOVT ATTNTN COLUMNS 1711 - 1711 NUMERIC M10. Over the years, how much attention do you feel the government pays to what people think when it decides what to do -- a good deal, some, or not much? ------------------------------------------------------------ 1. A GOOD DEAL 3. SOME 5. NOT MUCH 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926126 92POST: M11/A.IRISH/IT/J COLUMNS 1712 - 1712 NUMERIC M11. (RB, STILL ON P. 15) Now, looking again at page 15 for your choices, here are several more statements. M11a. Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Blacks should do the same without any special favors. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926127 92POST: M11B.BLKS LSS DSV COLUMNS 1713 - 1713 NUMERIC M11b. Over the past few years blacks have gotten less than they deserve. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926128 92POST: M11C.BLKS TRY HRD COLUMNS 1714 - 1714 NUMERIC M11c. It's really a matter of some people not trying hard enough; if blacks would only try harder they could be just as well off as whites. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926129 92POST: M11D.GEN OF SLAVY COLUMNS 1715 - 1715 NUMERIC M11d. Generations of slavery and discrimination have created conditions that make it difficult for blacks to work their way out of the lower class. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926130 92POST: M12/A.SEE AM FLAG COLUMNS 1716 - 1716 NUMERIC M12. (RB, P.16) Please turn to page 16 for your choice of answers. M12a. When you see the American flag flying does it make you feel extremely good, very good, somewhat good, or not very good? ---------------------------------------------------------- 1. EXTREMELY GOOD 2. VERY GOOD 3. SOMEWHAT GOOD 4. NOT VERY GOOD 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926131 92POST: M12B.LOV FR CNTRY COLUMNS 1717 - 1717 NUMERIC M12b. How strong is your love for your country ... extremely strong, very strong, somewhat strong, or not very strong? ----------------------------------------------------------- 1. EXTREMELY STRONG 2. VERY STRONG 3. SOMEWHAT STRONG 4. NOT VERY STRONG 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926132 92POST: N1.S.S.BENFTS H/L COLUMNS 1718 - 1718 NUMERIC N1. We'd like to talk about a different topic now. In your opinion, are Social Security retirement benefits too low, about the right amount, or too high? ------------------------------------------------------------ 1. TOO LOW 3. ABOUT RIGHT 5. TOO HIGH 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926133 92POST: N1A/B.HW MCH TOO COLUMNS 1719 - 1719 NUMERIC N1a. Are these benefits much too low, or somewhat too low? N1b. Are these benefits much too high, or somewhat too high? ------------------------------------------------------------ 1. MUCH TOO LOW 2. SOMEWHAT TOO LOW 3. About right; 3 in N1 4. SOMEWHAT TOO HIGH (Typo in q'naire's box) 5. MUCH TOO HIGH (Typo in q'naire's box) 8. DK 9. NA 0. Inap, no post-interview; 8-9 in N1 ============================== VAR M926134 92POST: N2.F/O TX SOC SEC COLUMNS 1720 - 1720 NUMERIC N2. Do you favor or oppose taxes on social security retirement benefits? ---------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926135 92POST: N2A/B.HW MCH F/O COLUMNS 1721 - 1721 NUMERIC N2a. Do you favor this strongly or not so strongly? N2b. Do you oppose this strongly or not so strongly? ---------------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT SO STRONGLY 4. OPPOSE NOT SO STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 8-9 in N2 ============================== VAR M926136 92POST: N3.F/O NURS HM COLUMNS 1722 - 1722 NUMERIC N3. Do you favor or oppose expanding Medicare to pay for nursing home care and long hospital stays for the elderly? ---------------------------------------------------------- 1. FAVOR 3. NEITHER (VOLUNTEERED) 5. OPPOSE 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926137 92POST: N3A/B.MW MCN F/O COLUMNS 1723 - 1723 NUMERIC N3a. Do you favor expanding Medicare strongly or not so strongly? N3b. Do you oppose expanding Medicare strongly or not so strongly? --------------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT SO STRONGLY 3. Neither; 3 in N3 4. OPPOSE NOT SO STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, no post-interview; 8-9 in N3 ============================== VAR M926138 92POST: N4.VOLUNTEER WORK COLUMNS 1724 - 1724 NUMERIC N4. Many people say they have less time these days to do volunteer work. What about you, were you able to devote any time to volunteer work in the last 12 months? ------------------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926139 92POST: N5.MST PEOP TRSTD COLUMNS 1725 - 1725 NUMERIC N5. Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? ------------------------------------------------------------ 1. MOST PEOPLE CAN BE TRUSTED 2. CAN'T BE TOO CAREFUL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926140 92POST: N6.PEOPL HELPFL COLUMNS 1726 - 1726 NUMERIC N6. Would you say that most of the time people try to be helpful, or that they are mostly just looking out for themselves? --------------------------------------------------------- 1. TRY TO BE HELPFUL 2. JUST LOOK OUT FOR THEMSELVES 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926141 92POST: N7.TLK TO NEIGHBS COLUMNS 1727 - 1727 NUMERIC N7. Do you have any neighbors that you know and talk to regularly? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926142 92POST: N7A.HOW MANY NEIB COLUMNS 1728 - 1728 NUMERIC N7a. About how many (do you talk to regularly)? (Would that be just one, two or three, four or five, or more than five)? ---------------------------------------------------------- 1. JUST ONE 2. "ONE OR TWO" 3. TWO OR THREE 4. FOUR OR FIVE/"SEVERAL" 5. MORE THAN FIVE 8. DON'T KNOW 9. NA 0. Inap, no post-interview; 5, 8-9 in N7 ============================== VAR M926143 92POST: N8.SERVE ON JURY COLUMNS 1729 - 1729 NUMERIC N8. If you were selected to serve on a jury, would you be happy to do it or would you rather not serve? ---------------------------------------------------------- 1. WOULD BE HAPPY TO DO IT 5. WOULD RATHER NOT SERVE 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926144 92POST: N9.WRK IN COMMNTY COLUMNS 1730 - 1730 NUMERIC N9. In the last twelve months, have you worked with others or joined an organization in your community to do something about some community problem? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926145 92POST: N10.MAD CONTRIBNS COLUMNS 1731 - 1731 NUMERIC N10. Many people are finding it more difficult to make contributions to church or charity as much as they used to. How about you, were you able to contribute any money to church or charity in the last 12 months? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926146 92POST: N11.NXT YR BTR/WS COLUMNS 1732 - 1732 NUMERIC N11. Now let's talk about the next 12 months. Looking ahead, do you think that a year from now you (and your family living here) will be better off financially, or worse off, or just about the same as now? ------------------------------------------------------------ 1. BETTER YEAR FROM NOW 3. SAME 5. WORSE YEAR FROM NOW 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926147 92POST: N11A/B.HW MCH B/W COLUMNS 1733 - 1733 NUMERIC N11a. Is that much better off or somewhat better off? N11b. Is that much worse off or somewhat worse off? ------------------------------------------------------ 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in N11 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, no post-interview; 8-9 in N11 ============================== VAR M926148 92POST: N12.ECON BET/WRS COLUMNS 1734 - 1734 NUMERIC N12. How about the national economy. Would you say that over the next year the nation's economy will get better, get worse or stay about the same? ------------------------------------------------------------ 1. GET BETTER 3. STAY THE SAME 5. GET WORSE 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926149 92POST: N12A/B.HW MCH B/W COLUMNS 1735 - 1735 NUMERIC N12a. Would you say much better or somewhat better? N12b. Would you say much worse or somewhat worse? ---------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Stay the same; 3 in N12 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, no post-interview; 8-9 in N12 ============================== VAR M926150 92POST: N13.TAXS UP/DOWN COLUMNS 1736 - 1736 NUMERIC N13. Would you say that what you pay in federal income taxes over the next year, will go up, go down, or stay about the same? ------------------------------------------------------------ 1. WILL GO UP 3. STAY ABOUT THE SAME 5. GO DOWN 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926151 92POST: N13A/B.HW MCH U/D COLUMNS 1737 - 1737 NUMERIC N13a. Would you say it will go up a lot or a little? N13b. Would you say it will go down a lot or a little? ------------------------------------------------------- 1. GO UP A LOT 2. GO UP A LITTLE 3. Stay the same; 3 in N13 4. DOWN A LITTLE 5. DOWN A LOT 8. DK 9. NA 0. Inap, no post-interview; 8-9 in N13 ============================== VAR M926152 92POST: N14.UNEMP MOR/LSS COLUMNS 1738 - 1738 NUMERIC N14. How about people out of work during the coming 12 months-- do you think that there will be more unemployment than now, about the same, or less? ---------------------------------------------------------- 1. MORE UNEMPLOYMENT 3. ABOUT THE SAME 5. LESS UNEMPLOYMENT 8. DK 9. NA 0. Inap, no post-interview There are no variables in range 6135-6200 ============================== VAR M926201 92POST: P1/A.CLOS TO POOR COLUMNS 1739 - 1739 NUMERIC P1. (RB, P. 17) Here is a list of groups. Please read over the list and tell me the letter for those groups you feel particularly close to--people who are most like you in their ideas and interests and feelings about things. (MARK ALL MENTIONS) P1a. POOR PEOPLE ------------------------------------------------------------ 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926202 92POST: P1B.CLOS TO ASIAN COLUMNS 1740 - 1740 NUMERIC P1b. ASIAN-AMERICANS ------------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926203 92POST: P1C.CLOS TO LIBS COLUMNS 1741 - 1741 NUMERIC P1c. LIBERALS ------------------------------------------ 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926204 92POST: P1D.CLOS TO ELDY COLUMNS 1742 - 1742 NUMERIC P1d. THE ELDERLY --------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926205 92POST: P1E.CLOS TO BLKS COLUMNS 1743 - 1743 NUMERIC P1e. BLACKS ---------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926206 92POST: P1F.CLOS-UNIONS COLUMNS 1744 - 1744 NUMERIC P1f. LABOR UNIONS ---------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926207 92POST: P1G.CLOS-FEMNSTS COLUMNS 1745 - 1745 NUMERIC P1g. FEMINISTS ------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926208 92POST: P1H.CLOS-SOUTHNRS COLUMNS 1746 - 1746 NUMERIC P1h. SOUTHERNERS --------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926209 92POST: P1J.CLOS-BUSN PEO COLUMNS 1747 - 1747 NUMERIC P1j. BUSINESS PEOPLE ------------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926210 92POST: P1K.CLOS-YOUNG COLUMNS 1748 - 1748 NUMERIC P1k. YOUNG PEOPLE ---------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926211 92POST: P1M.CLOS-CONSVTVS COLUMNS 1749 - 1749 NUMERIC P1m. CONSERVATIVES ----------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926212 92POST: P1N.CLOS-HISPAN COLUMNS 1750 - 1750 NUMERIC P1n. HISPANIC-AMERICANS ---------------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926213 92POST: P1P.CLOS-WOMEN COLUMNS 1751 - 1751 NUMERIC P1p. WOMEN --------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926214 92POST: P1Q.CLOS-WKG CLSS COLUMNS 1752 - 1752 NUMERIC P1q. ASIAN-AMERICANS ------------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926215 92POST: P1R.CLOS-WHITES COLUMNS 1753 - 1753 NUMERIC P1r. WHITES ---------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926216 92POST: P1S.CLOS-MID CLSS COLUMNS 1754 - 1754 NUMERIC P1s. MIDDLE-CLASS PEOPLE ----------------------------------------------------- 1. Mentioned/marked 5. Not mentioned/marked 9. NA to entire question P1 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926217 92POST: P2.CHKPT:HW MANY COLUMNS 1755 - 1755 NUMERIC P2. INTERVIEWER'S CHECKPOINT ----------------------------- 1. R MENTIONED MORE THAN ONE GROUP IN P1 2. R MENTIONED ONLY ONE GROUP IN P1 3. R MENTIONED NO GROUPS IN P1 9. NA; 9 in P1a 0. Inap, no post-interview; 3,4 in V5002 ============================== VAR M926218 92POST: P2A.GRP CLOSEST COLUMNS 1756 - 1757 NUMERIC P2a. Look at the list again. Of the groups you just mentioned, which one do you feel closest to? ----------------------------------------------------- If only one group was mentioned at P1, that response has been duplicated here. 10. (a) POOR PEOPLE 11. (b) ASIAN-AMERICANS 12. (c) LIBERALS 13. (d) THE ELDERLY 14. (e) BLACKS 15. (f) LABOR UNIONS 16. (g) FEMINISTS 17. (h) SOUTHERNERS 18. (j) BUSINESS PEOPLE 19. (k) YOUNG PEOPLE 20. (m) CONSERVATIVES 21. (n) HISPANIC-AMERICANS 22. (p) WOMEN 23. (q) WORKING-CLASS PEOPLE 24. (r) WHITES 25. (s) MIDDLE-CLASS PEOPLE 98. DK 99. NA 00. Inap, no post-interview; 3, 4 in V5002; 3, 9 in V6217 ============================== VAR M926219 92POST: P2B.GRP ORGNZATNS COLUMNS 1758 - 1758 NUMERIC (MORE THAN ONE MENTION) P2b. Do you belong to any organizations or take part in any activities that represent the interests and viewpoints of GROUP NAMED IN P2a? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 2-3, 9 in P2; 98-99 in P2a ============================== VAR M926220 92POST: P2C.GRP ORGNZATNS COLUMNS 1759 - 1759 NUMERIC (SINGLE MENTION) P2c. Do you belong to any organizations or take part in any activities that represent the interests and viewpoints of GROUP NAMED IN P1? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, no post-interview; 3,4 in V5002; 1, 3, 9 in P2 ============================== VAR M926221 92POST: P3/A.HRD WRK-WHIT COLUMNS 1760 - 1760 NUMERIC P3. (RB, P. 18) Now I have some questions about different groups in our society. I'm going to show you a seven-point scale on which the characteristics of the people in a group can be rated. In the first statement a score of 1 means that you think almost all of the people in that group tend to be "hard-working." A score of 7 means that almost all of the people in the group are "lazy." A score of 4 means that you think that most people in the group are not closer to one end or the other, and of course you may choose any number in between. P3a. Where would you rate whites in general on this scale? ------------------------------------------------------------ 1. HARD-WORKING 2. 3. 4. 5. 6. 7. LAZY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926222 92POST: P3B.HRD WRK-BLCKS COLUMNS 1761 - 1761 NUMERIC P3b. Blacks? ------------------------------------------------------------ 1. HARD-WORKING 2. 3. 4. 5. 6. 7. LAZY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926223 92POST: P3C.HRD WRK-ASIAN COLUMNS 1762 - 1762 NUMERIC P3c. Asian Americans? ---------------------------------------------------------- 1. HARD-WORKING 2. 3. 4. 5. 6. 7. LAZY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926224 92POST: P3D.HRD WRK-HISP COLUMNS 1763 - 1763 NUMERIC P3d. Hispanic Americans? ---------------------------------------------------- 1. HARD-WORKING 2. 3. 4. 5. 6. 7. LAZY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926225 92POST: P4/A.INTEL-WHITES COLUMNS 1764 - 1764 NUMERIC P4. (RB, P. 19) The next set asks if people in each group tend to be unintelligent or tend to be intelligent? P4a. Where would you rate whites in general on this scale? ----------------------------------------------------------- 1. UNINTELLIGENT 2. 3. 4. 5. 6. 7. INTELLIGENT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926226 92POST: P4B.INTEL-BLACKS COLUMNS 1765 - 1765 NUMERIC P4b. Blacks? ------------------------------------------------------ 1. UNINTELLIGENT 2. 3. 4. 5. 6. 7. INTELLIGENT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926227 92POST: P4C.INTEL-ASIANS COLUMNS 1766 - 1766 NUMERIC P4c. Asian Americans? ------------------------------------------------------------ 1. UNINTELLIGENT 2. 3. 4. 5. 6. 7. INTELLIGENT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926228 92POST: P4D.INTEL-HISP COLUMNS 1767 - 1767 NUMERIC P4d. Hispanic Americans? ------------------------------------------------------------ 1. UNINTELLIGENT 2. 3. 4. 5. 6. 7. INTELLIGENT 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926229 92POST: P5/A.VI0LT-WHITES COLUMNS 1768 - 1768 NUMERIC P5. (RB, P. 20) Do people in these groups tend to be violent or do they tend to be peaceful? ) P5a. Where would you rate whites in general on this scale? ------------------------------------------------------ 1. VIOLENT 2. 3. 4. 5. 6. 7. PEACEFUL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926230 92POST: P5B.VI0LT-BLACKS COLUMNS 1769 - 1769 NUMERIC P5b. Blacks? ----------------------------------------------------- 1. VIOLENT 2. 3. 4. 5. 6. 7. PEACEFUL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926231 92POST: P5C.VI0LT-ASIANS COLUMNS 1770 - 1770 NUMERIC P5c. Asian Americans? ----------------------------------------------------------- 1. VIOLENT 2. 3. 4. 5. 6. 7. PEACEFUL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926232 92POST: P5D.VIOLNT-HISP COLUMNS 1771 - 1771 NUMERIC P5d. Hispanic Americans? ----------------------------------------------------- 1. VIOLENT 2. 3. 4. 5. 6. 7. PEACEFUL 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926233 92POST: Q1.ENGL OFCL LANG COLUMNS 1772 - 1772 NUMERIC Q1. Do you favor a law making English the official language of the United States, meaning government business would be conducted in English only, or do you oppose such a law? ------------------------------------------------------------ 1. FAVOR 3. NEITHER FAVOR NOR OPPOSE 5. OPPOSE 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926234 92POST: Q2.TEACH ENGL COLUMNS 1773 - 1773 NUMERIC Q2. (RB, P. 21) There are several different ideas about how to teach children who don't speak English when they enter our public schools. Which one of the following three statements best describe how you feel: ------------------------------------------------------------ 1. ONE, ALL CLASSES SHOULD BE CONDUCTED ONLY IN ENGLISH SO THAT CHILDREN HAVE TO LEARN ENGLISH RIGHT FROM THE START. 2. TWO, CHILDREN WHO DON'T KNOW ENGLISH SHOULD HAVE CLASSES IN THEIR NATIVE LANGUAGE JUST FOR A YEAR OR TWO UNTIL THEY LEARN ENGLISH. 3. THERE SHOULD BE ONE SET OF CLASSES IN ENGLISH AND ANOTHER SET IN SPANISH OR OTHER LANGUAGES ALL THE WAY THROUGH HIGH SCHOOL SO THAT CHILDREN CAN KEEP UP THEIR NATIVE LANGUAGES AND CULTURE IF THEY CHOOSE. 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926235 92POST: Q3.LEVEL IMMIGRTN COLUMNS 1774 - 1774 NUMERIC Q3. Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be increased a little, increased a lot, decreased a little, decreased a lot, or left the same as it is now? ----------------------------------------------------------- 1. INCREASE A LOT 2. INCREASE A LITTLE 3. SAME AS NOW 4. DECREASED A LITTLE 5. DECREASED A LOT 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926236 92POST: Q4/A.HISP-IMPR C COLUMNS 1775 - 1775 NUMERIC Q4. (RB, P. 22) Many different groups of people have come to the United States at different times in our history. In recent years the population of the United States has been changing to include many more people of Hispanic and Asian background. I'm going to read a list of things that people say may happen because of the growing number of Hispanic people in the United States. For each of these things, please say how likely it is to happen. Q4a. How likely is it that the growing number of Hispanics will improve our culture with new ideas and customs--extremely likely, very likely, somewhat likely, or not at all likely? ----------------------------------------------------------- 1. EXTREMELY LIKELY 2. VERY LIKELY 3. SOMEWHAT LIKELY 4. NOT AT ALL LIKELY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926237 92POST: Q4B.HISP-HGHR TX COLUMNS 1776 - 1776 NUMERIC Q4b. (How likely is it) to cause higher taxes due to more demands for public services?--extremely likely, very likely, somewhat likely, or not at all likely? ----------------------------------------------------------- 1. EXTREMELY LIKELY 2. VERY LIKELY 3. SOMEWHAT LIKELY 4. NOT AT ALL LIKELY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926238 92POST: Q4C.HISP-TK JBS COLUMNS 1777 - 1777 NUMERIC Q4c. (How likely is it) to take jobs away from people already here--extremely likely, very likely, somewhat likely, or not at all likely? ----------------------------------------------------------- 1. EXTREMELY LIKELY 2. VERY LIKELY 3. SOMEWHAT LIKELY 4. NOT AT ALL LIKELY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926239 92POST: Q5/A.ASNS-IMP CLT COLUMNS 1778 - 1778 NUMERIC Q5. (RB, STILL ON P. 22) How about Asians? Q5a. How likely is it that the growing number of Asians will improve our culture with new ideas and customs--extremely likely, very likely, somewhat likely, or not at all likely? ----------------------------------------------------------- 1. EXTREMELY LIKELY 2. VERY LIKELY 3. SOMEWHAT LIKELY 4. NOT AT ALL LIKELY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926240 92POST: A5B.ASNS-HGHR TXS COLUMNS 1779 - 1779 NUMERIC Q5b. (How likely is it) to cause higher taxes due to more demands for public services?--extremely likely, very likely, somewhat likely, or not at all likely? ----------------------------------------------------------- 1. EXTREMELY LIKELY 2. VERY LIKELY 3. SOMEWHAT LIKELY 4. NOT AT ALL LIKELY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926241 92POST: A5C.ASNS-TK JOBS COLUMNS 1780 - 1780 NUMERIC Q5c. (How likely is it) to take jobs away from people already here--extremely likely, very likely, somewhat likely, or not at all likely? ----------------------------------------------------------- 1. EXTREMELY LIKELY 2. VERY LIKELY 3. SOMEWHAT LIKELY 4. NOT AT ALL LIKELY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926242 92POST: Q6.IMMGR ELIG AID COLUMNS 1781 - 1781 NUMERIC Q6. Do you think that immigrants who come to the U.S. should be eligible as soon as they come here for government services such as Medicaid, Food Stamps, Welfare, or should they have to be here a year or more? ----------------------------------------------------------- 1. ELIGIBLE IMMEDIATELY 2. WAIT A YEAR OR MORE 8. DK 9. NA 0. Inap, no post-interview ============================== VAR M926243 92POST: Q7.FATHER DEM/REP COLUMNS 1782 - 1782 NUMERIC Q7. And now for our last questions--When you were growing up, did your father or stepfather think of himself as a Democrat, as a Republican, as an independent, or what? ---------------------------------------------------------- 1. DEMOCRAT 3. INDEPENDENT 5. REPUBLICAN 7. OTHER; SPECIFY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926244 92POST: Q8.MOTHER DEM/REP COLUMNS 1783 - 1783 NUMERIC Q8. When you were growing up, did your mother or stepmother think of herself as a Democrat, as a Republican, as an independent, or what? ------------------------------------------------------------ 1. DEMOCRAT 3. INDEPENDENT 5. REPUBLICAN 7. OTHER; SPECIFY 8. DON'T KNOW 9. NA 0. Inap, no post-interview ============================== VAR M926245 92POST: Q10.TIME-END IW COLUMNS 1784 - 1787 NUMERIC Q10. EXACT TIME NOW: (end of interview) ----------------------------------------- Code actual time using 24 HOUR CLOCK 0001. 12:01 AM . 0600. 6:00 AM . 1200. NOON . 1800. 6:00 PM . 2400. MIDNIGHT 9999. NA 0000. Inap, no post-interview ============================== VAR M926246 92POST: Z1.IW OBS: R SEX COLUMNS 1788 - 1788 NUMERIC The high number of missing data in the Z section is due to: 1) the original exclusion of the section from the printed questionnaire, with the subsequent delay for the additional pages to reach the field, and 2) the failure of most interviewers who did phone interviews to complete this section. Z1. Respondent's sex is: ----------------------------------------------------------- 1. MALE 2. FEMALE 9. NA 0. Inap, no post-interview ============================== VAR M926247 92POST: Z2.IWR OBS:R RACE COLUMNS 1789 - 1789 NUMERIC Z2. Respondent's race is: -------------------------- 1. WHITE 2. BLACK 3. AMERICAN INDIAN OR ALASKAN NATIVE 4. ASIAN OR PACIFIC ISLANDER 7. Other 9. NA 0. Inap, no post-interview ============================== VAR M926248 92POST: Z3.IWR OB:OTHERS COLUMNS 1790 - 1791 NUMERIC Z3. Other persons present at interview were (CHECK MORE THAN ONE BOX IF NECESSARY): -------------------------------------------------------- 00. NONE (only box checked) 01. CHILDREN UNDER 6 ONLY 02. OLDER CHILDREN ONLY 03. Children under 6 and older children 04. SPOUSE ONLY 05. " and children under 6 06. " and older children 07. " and children under 6 and older children 08. OTHER RELATIVES ONLY 09. " " and children under 6 10. " " and older children 11. " " and children under 6 and older children 12. " " and spouse 13. " " and spouse and children under 6 14. " " and spouse and older children 15. " " and spouse and children under 6 and older children 16. OTHER ADULTS ONLY 17. " " and children under 6 18. " " and older children 19. " " and children under 6 and older children 20. " " and spouse 21. " " and spouse and children under 6 22. " " and spouse and older children 23. " " and spouse and children under 6 and older children 24. " " and other relatives 25. " " and other relatives and children under 6 26. " " and other relatives and older children 27. " " and other relatives and children under 6 and older children 28. " " and other relatives and spouse 29. " " and other relatives and spouse and children under 6 30. Other adults and other relatives and spouse and children under 6 and older children (all boxes checked in interview schedule) 99. NA; Inap, no post-interview ============================== VAR M926249 92POST: Z4.I.O: R COOPRTN COLUMNS 1792 - 1792 NUMERIC Z4. Respondent's cooperation was: ---------------------------------- 1. VERY GOOD 2. GOOD 3. FAIR 4. POOR 5. VERY POOR 9. NA 0. Inap, no post-interview ============================== VAR M926250 92POST: Z5.I.O.: R INFRMD COLUMNS 1793 - 1793 NUMERIC Z5. Respondent's general level of information about politics and public affairs seemed: ---------------------------------------------------- 1. VERY HIGH 2. FAIRLY HIGH 3. AVERAGE 4. FAIRLY LOW 5. VERY LOW 9. NA 0. Inap, no post-interview ============================== VAR M926251 92POST: Z6.I.O:ALL ENGLSH COLUMNS 1794 - 1794 NUMERIC Z6. Was this interview conducted entirely in English, or was it necessary to translate some (or all) questions into another language? ---------------------------------------------------------- 1. INTERVIEW CONDUCTED ENTIRELY IN ENGLISH 2. SOME (OR ALL) QUESTIONS TRANSLATED INTO ANOTHER LANGUAGE 9. NA 0. Inap, no post-interview ============================== VAR M926252 92POST: Z6A.I.O:WCH LANG COLUMNS 1795 - 1795 NUMERIC Z6a. What language? ------------------------------------------------- 1. Spanish 4. Vietnamese 7. Other 9. NA 0. Inap, no post-interview; 1, 9 in Z6 There are no variables in range 6253-6300 ============================== VAR M926301 92POST: B1A PROBE-BUSH COLUMNS 1796 - 1796 NUMERIC B1a. GEORGE BUSH--Probe Indicator ---------------------------------- 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview ============================== VAR M926302 92POST: B1B PROBE-CLINTON COLUMNS 1797 - 1797 NUMERIC B1b. BILL CLINTON--Probe Indicator ----------------------------------- 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview ============================== VAR M926303 92POST: B1C PROBE-PEROT COLUMNS 1798 - 1798 NUMERIC B1c. ROSS PEROT--Probe Indicator --------------------------------- 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview ============================== VAR M926304 92POST: B1D PROBE COLUMNS 1799 - 1799 NUMERIC B1d. (NAME # 11, 13 or 15) ------------------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, 24, 81, 82, 85, 99 in V3022 ============================== VAR M926305 92POST: B1E PROBE COLUMNS 1800 - 1800 NUMERIC B1e. (NAME # 12, 14 or 16) ------------------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, 81, 82, 85, 99 in V3022 ============================== VAR M926306 92POST: B1F PROBE COLUMNS 1801 - 1801 NUMERIC B1f. (NAME # 11a) CALIFORNIA ONLY ----------------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 01, 03, 04, 12-14, 21- 25, 31-35, 40-45, 47, 49, 52, 54, 56, 61-62, 68, 72-73 in V3017 ============================== VAR M926307 92POST: B1G PROBE COLUMNS 1802 - 1802 NUMERIC B1g. (NAME # 14a) CALIFORNIA ONLY ----------------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 01, 03, 04, 12-14, 21- 25, 31-35, 40-45, 47, 49, 52, 54, 56, 61-62, 68, 72-73 in V3017 ============================== VAR M926308 92POST: B1H PROBE COLUMNS 1803 - 1803 NUMERIC B1h. (NAME # 19, 29) ---------------------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 81, 82, 85, 99 in V3022 ============================== VAR M926309 92POST: B1J PROBE COLUMNS 1804 - 1804 NUMERIC B1j. (NAME, SENATOR #1) ------------------------------------------ 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 12, 21, 24, 55, 65 in V3022 ============================== VAR M926310 92POST: B1K PROBE COLUMNS 1805 - 1805 NUMERIC B1k. (NAME, SENATOR #2) ------------------------------------------ 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 12, 21, 24, 55, 65 in V3022 ============================== VAR M926311 92POST: B1M PROBE COLUMNS 1806 - 1806 NUMERIC B1m. (NAME # 31, 33 or 35) --------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 24, 52, 99 in V3021; 3,4 in V5002 ============================== VAR M926312 92POST: B1N PROBE COLUMNS 1807 - 1807 NUMERIC B1n. (NAME # 32, 34 or 36) --------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 14, 51, 99 in V3021; 3,4 in V5002 ============================== VAR M926313 92POST: B1P PROBE COLUMNS 1808 - 1808 NUMERIC B1p. (NAME # 41, 42) ------------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post-interview; 12, 14, 21, 24, 45, 85, 99 in V3021; 3,4 in V5002 ============================== VAR M926314 92POST: B1Q PROBE COLUMNS 1809 - 1809 NUMERIC B1q. (NAME # 30) <3rd Party/Independent House candidate-Probe indicator> ---------------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, dummy variable ============================== VAR M926315 92POST: B1R PROBE COLUMNS 1810 - 1810 NUMERIC B1r. James Stockdale --------------------------------------- SEE NOTE(S) 5 0. Not probed 1. RQ (Repeat question) 2. WT (What do you think) 3. WC (Which is closer) 4. WM (Whatever it means to you) 5. DK PROBE USED?--box marked yes 6. RQ and WT; RQ and WC; RQ and WM 7. Other probe; type of probe unclear 9. Inap, no post interview ============================== VAR M927000 TIME SERIES WEIGHT COLUMNS 1811 - 1811 NUMERIC Time Series Weight ------------------ NOTE: THIS VAR ASSIGNED DECIMAL WEIGHTS TO 1992 'PANEL' CASES (RS PREVIOUSLY INTERVIEWED IN 1990). IN THE 1992-1997 COMBINED FILE ALL 1992 CASES ARE 1992 CROSS-SECTION AND THUS HAVE VALUES OF 1 IN THIS VARIABLE. THIS VAR DOES NOT APPLY TO THE 1992-1997 COMBINED FILE. ============================== VAR M927001 TYPE OF INCUMBENT COLUMNS 1812 - 1812 NUMERIC Was incumbent candidate respondent's representative in last Congress? ----------------------------------------------------------- Substantial reapportionment following the 1990 Census occurred between the elections to the 102nd Congress (1990) and the 103rd Congress (1992). Variables 3019 and 3020 give the 1992 and the 1990 congressional district numbers for the sample address in which the respondent resided at the time of their Pre-election interview. Redistricting between the 1990 and 1992 elections was quite extensive. As district boundary lines changed, it is possible that the incumbent running for re-election in a respondent's district was not the incumbent who had previously represented the segment in which the respondent lived. For example, for the 102nd Congress, Ann Arbor, Michigan was in Michigan's 2nd District represented by Carl Pursell. After redistricting, Ann Arbor was part of the 13th Congressional District whose incumbent, Representative William Ford, ran for re-election to the 103rd Congress. Ford's constituents now include Ann Arborites who had previously been part of the 2nd District. These constituents would be coded "2" on variable 7001, which basically records whether respondent was represented by the same or different incumbents in the 102nd and 103rd Congresses. 0. Neither of the candidates for the 103rd Congress runing in respondents district was an incumbent in the 102nd Congress. 1. The incumbent who ran for re-election to the 103rd Congress in the congressional district for the sample segment in which respondent resided in 1992, is the same incumbent who represented that segment in the 102nd Congress. 2. The incumbent who ran for re-election in respondent's district in 1992 did not represent the sample segment in which respondent lives in the 102nd Congress. 3. LA06: Two Republican incumbents ran in 1992, neither of whom represented this segment in the 102nd Congress. 9. Indeterminate; NA. ============================== WAS INCUMBENT CANDIDATE R'S REPRESENTATIVE IN LAST CONGRESS? Substantial reapportionment following the 1990 Census occurred between the elections to the 102nd Congress (1990) and 103rd Congress (1992). Variables 3019 and 3020 give the 1992 and the 1990 congressional district numbers for the sample address in which the respondent resided at the time of their Pre-election interview. Redistricting between the 1990 and 1992 elections was quite extensive. As district boundary lines changed, it is possible that the incumbent running for re-election in a respondent's district was not the incumbent who had previously represented the segment in which the respondent lived. For example, for the 102nd Congress, Ann Arbor Michigan was in Michigan's 2nd District represented by Carl Pursell. After redistricting, Ann Arbor was part of the 13th Congressional District, whose incumbent, Representative William Ford, ran for re-election to the 103rd Congress. Ford's constituents now include Ann Arborites who had previously been part of the 2nd District. These constituents would be coded "2" on variable 7001, which basically records whether R was represented by the same or different incumbents in the 102nd and 103rd Congresses. 0. Neither of the candidates for the 103rd Congress running in R's district was an incumbent in the 102nd Congress. 1. The incumbent who ran for re-election to the 103rd Congress in the congressional district for the sample segment in which R resided in 1992, is the same incumbent who represented that segment in the 102nd Congress. 2. The incumbent who ran for re-election in R's district in 1992 did not represent the sample segment in which R lives in the 102nd Congress. 3. LA06: Two Republican incumbents ran in 1992, neither of whom represented this segment in the 102nd Congress. 9. Indeterminate, NA [85 typerace] ============================== VAR M937001 1993 PILOT CASE ID NUMBER -- 5-DIGIT NUMBER ASSIGNED BY CATI 0000 INAP, no Pilot Study ============================== VAR M937002 1992 POST-ELECTION CASE ID # -- 4-DIGIT 3001- 4005 Cross-section respondents 0000 INAP, no Pilot Study ============================== VAR M937003 FORM ASSIGNMENT 1. FORM A 2. FORM A1 3. FORM B 4. FORM B1 0. INAP, no Pilot Study ============================== VAR M937004 ADDRESS CHANGE FLAG SINCE THE 1992 POST-ELECTION INTERVIEW 0. R living at 1992 address 1. R moved since 1992. New address known by the end of the interviewing period 5. R moved since 1992. New address not known by the end of the interviewing period. ============================== VAR M937005 ICPSR STATE CODE: R's RESIDENCE AT TIME OF 1993 PILOT STUDY New England 01. Connecticut 02. Maine 03. Massachusetts 04. New Hampshire 05. Rhode Island 06. Vermont Middle Atlantic 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania East North Central 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin West North Central 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota Solid South 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas Border States 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington, D.C. 56. West Virginia Mountain States 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming Pacific States 71. California 72. Oregon 73. Washington External States 81. Alaska 82. Hawaii 99. NA 00. INAP, no Pilot Study ============================== VAR M937006 1992 CONGRESSIONAL DISTRICT NUMBER (2 DIGITS, 01- 98) This variable, combined with the ICPSR State Code (V7005), gives the congressional district for the sample location in which the R resided at the time of the 1993 Pilot Study. 00. INAP, no Pilot Study ============================== VAR M937007 CONGRESSIONAL DISTRICT CHANGE FLAG 0. R has not moved from 1992 address 1. R moved to a different Congressional District from 1992 5. R moved within same Congressional District where interviewed in 1992 8. DK if moved to a different Congressional District ============================== VAR M937008 FLAG TO SKIP G3b(A) and G9b(A) Questions G3b(A) and G9b(A) were slated to be dropped from the instrument because of time considerations. In order to secure a descriptive notion of what R had in mind when answering G3(A) (V7374) or G9(B) (V7383), it was decided to ask the follow-up questions of a small number of people, who were randomly selected. V3008 flags Rs who could be asked G3b(A) or G9b(A). 0. Eligible to be asked 1. Not eligible 8. NA ============================== VAR M937009 A0-6. Before we begin, I do need to make sure we are talking to the same person who was interviewed before. Would you please tell me in what month and year you were born? 1-12. ENTER MONTH: 98. DK 99. NA 00. INAP, no Pilot Study ============================== VAR M937010 1890-1975. ENTER YEAR: 9998. DK 9999. NA 0000. INAP, no Pilot Study ============================== VAR M937011 A0-8. First, let me verify your address. The address I have on file for you is: Are there any corrections? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937012 ID # OF INTERVIEWER OF RECORD Interviewer ID code ranges from 454 to 9570 9999. NA 0000. INAP, never assigned to an Interviewer ============================== VAR M937013 YEAR OF INTERVIEW 1993. 0000. INAP, no Pilot Study ============================== VAR M937014 MONTH OF INTERVIEW 09. September 10. October 11. November 00. INAP, no Pilot Study ============================== VAR M937015 DAY OF INTERVIEW 1-31. ENTER DAY 00. INAP, no Pilot Study ============================== VAR M937016 INTERVIEW LENGTH IN MINUTES The actual number of minutes (22-127) is coded, except: 999. NA 000. INAP, no Pilot Study ============================== VAR M937017 TOTAL NUMBER OF CALLS TO OBTAIN INTERVIEW; LAST CALL NUMBER Number of calls 1 - 32 is coded, except: 99. NA 00. INAP, no Pilot Study ============================== VAR M937018 RESULT CODE 01. INTERVIEW, complete 05. INTERVIEW, partial 34. No contact after refusal 51. Final refusal by R 52. Final refusal by someone other than R 56. Final refusal, no persuasion attempt; conversion attempt not warranted 62. Never able to contact 63. Permanent condition 75. Lost -- initial phone number not good, unable to locate R ============================== VAR M937019 REFUSAL CONVERSION This refers to interviews initially refused by the Respondent. 0. R was never assigned to Refusal Conversion 1. R refused initially and was assigned to refusal conversion procedures ============================== VAR M937020 CONTACT FLAG 0. This variable contains no data; all cases set to 0 ============================== VAR M937021 INTERVIEWER'S GENDER 1. MALE 2. FEMALE 9. NA 0. INAP, no Pilot Study ============================== VAR M937022 INTERVIEWER'S EDUCATION 1. 1 - 8 YEARS 2. SOME HIGH SCHOOL 3. HIGH SCHOOL GRADUATE 4. SOME COLLEGE 5. COLLEGE DEGREE 6. MASTER'S DEGREE 7. PhD DEGREE 9. NA 0. INAP, no Pilot Study ============================== VAR M937023 INTERVIEWER'S RACE 1. WHITE 2. BLACK 3. NATIVE AMERICAN 4. ASIAN 7. OTHER 9. NA 0. INAP, no Pilot Study ============================== VAR M937024 INTERVIEWER'S ETHNICITY 0. NO ETHNIC IDENTITY CODED; not assigned to an interviewer 1. HISPANIC 7. OTHER 9. NA ============================== VAR M937025 INTERVIEWER'S AGE -- Code age in years 99. NA 00. INAP, not assigned to an Interviewer ============================== VAR M937026 INTERVIEWER'S YEARS OF EXPERIENCE -- up to 1993 0. LESS THAN ONE YEAR . 33. THIRTY-THREE YEARS 99. NA; not assigned to an Interviewer ============================== VAR M937101 A1. Do you approve or disapprove of the way Bill Clinton is handling his job as president? 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937102 (See V937101) A1a. (FORMS 1,2) Do you approve strongly or not strongly? (FORM3 3,4) Do you approve strongly or not strongly of the way Bill Clinton is handling his job as president? 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in A1 ============================== VAR M937103 (See V937101) A1b. (FORMS 1,2) Do you disapprove strongly or not strongly? (FORMS 3,4) Do you disapprove strongly or not strongly of the way Bill Clinton is handling his job as president? 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in A1 ============================== VAR M937104 A1x. Clinton presidential approval SUMMARY. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW STRONG 8. DISAPPROVE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in A1 ============================== VAR M937105 A2. Do you approve or disapprove of the way Bill Clinton is handling the economy? 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937106 (See V937105) a2a. (Do you approve strongly or not strongly?) 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in A2 ============================== VAR M937107 (See V937105) A2b. (Do you disapprove strongly or not strongly?) 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in A2 ============================== VAR M937108 A2x. Approval of Clinton handling the economy SUMMARY. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW STRONG 8. DISAPPROVE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in A2 ============================== VAR M937109 A3. Do you approve or disapprove of the way Bill Clinton is handling our relations with foreign countries? 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937110 (See V937109) A3a. (Do you approve strongly or not strongly?) 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in A3 ============================== VAR M937111 (See V937109) A3b. (Do you disapprove strongly or not strongly?) 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in A3 ============================== VAR M937112 A3x. SUMMARY: Approval of Clinton handling foreign relations. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW STRONG 8. DISAPPROVE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in A3 ============================== VAR M937113 A4. Do you approve or disapprove of the way Bill Clinton has 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937114 (See V937113) A4a. (Do you approve strongly or not strongly?) 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in A4 ============================== VAR M937115 (See V937113) A4b. (Do you disapprove strongly or not strongly?) 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in A4 ============================== VAR M937116 A4x. SUMMARY: Approval of Clinton handling of gays and lesbians in the military. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW STRONG 8. DISAPPROVE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in A4 ============================== VAR M937117 A5. Do you approve or disapprove of the way Bill Clinton is 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937118 (See V937117) A5a. (Do you approve strongly or not strongly?) 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in A5 ============================== VAR M937119 (See V937117) A5b. (Do you disapprove strongly or not strongly?) 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in A5 ============================== VAR M937120 A5x. SUMMARY: Approval of Clinton handling Bosnia. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW STRONG 8. DISAPPROVE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in A5 ============================== VAR M937121 B1. Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who ran in this district this past November? NOTE: The candidates considered correct in B1a-B1x were those running in the Congressional District where R was living when interviewed in 1993. Users should exercise caution with these data for Respondents who moved between 1992 and 1993. 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937122 (See V937121) B1a. Who were they (Any others?) 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. INAP, no Pilot Study; 5, 8-9 in B1; no further mention ============================== VAR M937123 (See V937121) B1b. What was CANDIDATES's party? 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY - SPECIFY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in B1; no further information ============================== VAR M937124 (See V937121) B1aa. Who were they? Built from B1a(#1)/B1a(#2)/B1a(#3) 1. DEMOCRATIC CANDIDATE (31, 33, 35, exc. LA06) 2. REPUBLICAN CANDIDATE (32, 34, 36, also 31 in LA06) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 21, 22, 27-29, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK NAME AND DK/NA PARTY; NA 0. INAP, no Pilot Study; 5, 8-9 in B1; no further mention ============================== VAR M937125 B1x. Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's congressional district Built from B1a(#1) & B1b(#1) / B1a(#2) & B1b(#2) / B1a(#3) & B1b(#3) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. INAP, no Pilot Study; 5, 8-9 in B1; no further mention ============================== VAR M937126 (See V937121) 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. INAP, no Pilot Study; 5, 8-9 in B1; no further mention ============================== VAR M937127 (See V937121) 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY - SPECIFY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in B1; no further information ============================== VAR M937128 (See V937121) 1. DEMOCRATIC CANDIDATE (31, 33, 35, exc. LA06) 2. REPUBLICAN CANDIDATE (32, 34, 36, also 31 in LA06) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 21, 22, 27-29, 41, 42, 51-58, 61, 62, 97) 8. DON'T KNOW NAME BUT KNOW PARTY 9. DK NAME AND DK/NA PARTY; NA 0. INAP, no Pilot Study; 5, 8-9 in B1; no further mention ============================== VAR M937129 (See V937125) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. INAP, no Pilot Study; 5, 8-9 in B1; no further mention ============================== VAR M937130 B2a. I'd like to get your feelings toward some of our political leaders and other people who have been in the news. I'll read the name of a person and I'd like you to rate that person using something called the feeling thermometer. You can choose any number between 0 and 100. The higher the number, the warmer or more favorable you feel toward that person; the lower the number, the colder or less favorable. You would rate the person at the 50 degree mark if you feel neither warm nor cold toward them. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. PROBE FOR DK RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?" B2a. Our first person is Bill Clinton? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937131 (See V937130) B2b. Ross Perot? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937132 (See V937130) B2c. INCUMBENT SENATOR 1? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937133 (See V937130) B2d. INCUMBENT SENATOR 2? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937134 (See V937130) B2e. SENATE CANDIDATE who lost in 1992? Due to a flaw in the CATI logic, this question was not asked; all cases are coded 999. 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937135 (See V937130) B2f. SECOND CANDIDATE who lost in CALIFORNIA? Due to a flaw in the CATI logic, this question was not asked; all cases are coded 999. 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937136 (See V937130) B2g. HOUSE INCUMBENT? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937137 B2gg. Do you happen to recall what job or office (HOUSE INCUMBENT) has? 1. YES - U.S. HOUSE OF REPRESENTATIVES 2. YES - OTHER JOB OR OFFICE NAMED 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 997-999 in B2g The order of administration of Questions B2h-B2r was random. ============================== VAR M937138 (See V937137) B2h. Hillary Clinton? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937139 (See V937137) B2i Rush Limbaugh? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937140 (See V937137) B2j. Don Young? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937141 (See V937137) B2k. the Democratic Party? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937142 (See V937137) B2l. the Republican Party? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937143 (See V937137) B2m. people who call themselves independents? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937144 (See V937137) B2n. political parties in general? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937145 (See V937137) B2o. gay men and lesbians -- that is homosexuals? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937146 (See V937137) B2p. the military? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937147 (See V937137) B2q. the wealthy? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937148 (See V937137) B2r. the middle class? 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937149 (See V937137) B2s. United We Stand America? NOTE: Overwhelmingly, the Interviewers reported that Rs had no idea what we were referring to, most assuming we were saying something like "E Pluribus Unum" and they registered their approval of that sentiment, but when we asked next "Who founded it?" these same respondents were quite taken aback to find that this was in fact a group instead of a sentiment they were being asked to endorse. USE THIS VARIABLE WITH EXTREME CAUTION. 0 - 100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA; INAP, no Pilot Study ============================== VAR M937150 (See V937149) B2ss. Do you know who founded it? 1. YES - PEROT 2. YES - OTHER PERSON NAMED 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 998-999 in B2s ============================== VAR M937151 B2a1. WAS SPECIAL DK PROBE USED WITH B2a? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937152 B2b1. WAS SPECIAL DK PROBE USED WITH B2b? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937153 B2c1. WAS SPECIAL DK PROBE USED WITH B2c? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937154 B2d1. WAS SPECIAL DK PROBE USED WITH B2d? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937155 B2e1. WAS SPECIAL DK PROBE USED WITH B2e? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937156 B2f1. WAS SPECIAL DK PROBE USED WITH B2f? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937157 B2g1. WAS SPECIAL DK PROBE USED WITH B2g? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937158 B2h1. WAS SPECIAL DK PROBE USED WITH B2h? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937159 B2i1. WAS SPECIAL DK PROBE USED WITH B2i? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937160 B2j1. WAS SPECIAL DK PROBE USED WITH B2j? 1. YES 5. NO 0. INAP, no Pilot Study ============================== VAR M937161 B3. If you had to vote for President today, who would you vote for: Bill Clinton, George Bush, or Ross Perot? 1. BILL CLINTON 3. GEORGE BUSH 5. ROSS PEROT 7. NONE OF THEM (VOLUNTEERED) 8. DK 9. NA 0. INAP, no Pilot Study NOTE: The Representative R was asked about throughout the C Section is the one representing the Congressional District in which R was residing at the time of the 1993 interview, as well as could be determined. ============================== VAR M937162 C1. Next I would like to ask some questions about your U.S. Representative in Washington. Is there anything in particular that you like about (REPRESENTATIVE NAME), the (Democrat/Republican) who 1. YES 5. NO 7. R VOL - I DON'T KNOW ANYTHING ABOUT THIS PERSON 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937163 (See V937162) C1a. What is that? PROBE: "Anything else you like about your U.S. Representative?" UNTIL R SAYS "NO". Code 5 Mentions [Mention 1] See PARTY-CANDIDATE Master Code, except: ============================== VAR M937164 (See V937163) [Mention 2] See PARTY-CANDIDATE Master Code, except: ============================== VAR M937165 (See V937163) [Mention 3] See PARTY-CANDIDATE Master Code, except: ============================== VAR M937166 (See V937163) [Mention 4] See PARTY-CANDIDATE Master Code, except: ============================== VAR M937167 (See V937163) [Mention 5] See PARTY-CANDIDATE Master Code, except: ============================== VAR M937168 C2. Was there anything in particular that you don't like about (REPRESENTATIVE NAME), the (Democrat/Republican) who represents your district in the U.S. House of Representatives? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 7 in C1 ============================== VAR M937169 C2a. What is that? PROBE: "Anything else you don't like about your U.S. Representative?" UNTIL R SAYS "NO". Code 5 mentions [Mention 1] See PARTY-CANDIDATE Master Code, except: 0000. INAP, no Pilot Study; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M937170 (See V937169) [Mention 2] See PARTY-CANDIDATE Master Code, except: 0000. INAP, no Pilot Study; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M937171 (See V937169) [Mention 3] See PARTY-CANDIDATE Master Code, except: 0000. INAP, no Pilot Study; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M937172 (See V937169) [Mention 4] See PARTY-CANDIDATE Master Code, except: 0000. INAP, no Pilot Study; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M937173 (See V937169) [Mention 5] See PARTY-CANDIDATE Master Code, except: 0000. INAP, no Pilot Study; 7 in C1; 5, 8-9 in C2; no further mention ============================== VAR M937174 C3. There are many ways in which U.S. representatives ca have contact with the people from their district. Think of (NAME), who is your U.S. representative in Washington. C3a. Have you met (him/her) personally? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937175 (See V937174) C3b. Have you attended a meeting or gathering where (he/she) spoke? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937176 (See V937174) C3c. Have you talked to a member of (his/her) staff or someone in (his/her) office? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937177 (See V937174) C3d. Have you received something in the mail from (him/her)? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937178 (See V937174) C3e. Have you read about (him/her) in a newspaper or magazine? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937179 (See V937174) C3f. Have you heard (him/her) on the radio? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937180 (See V937174) C3g. Have you seen (him/her) on TV? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937181 (See V937174) C3h. Have you had any other contact with (him/her)? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937182 (See V937174) C3hh. (What type of contact was that?) 01. Have met personally 02. Have attended meeting or gathering 03. Have talked to staff or someone in office 04. Have received something in mail 05. Have read about in newspaper or magazine 06. Have heard on the radio 07. Have seen on TV 98. DK 99. NA 00. INAP, NO OTHER CONTACT ============================== VAR M937183 C4. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME)? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937184 C5. (FORMS 1,3) In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you -- did you vote in the election this past November? NOTE: Data from Q. E17 (FORMS 2,4) have been copied here. 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 2, 4 in 7003 ============================== VAR M937185 C5a. (FORM 1) Did you vote for the Democratic candidate or the Republican candidate in the election for the House of Representatives in this district last November? (FORM 3) Did you vote for (NAME), the Democratic candidate or (NAME), the Republican candidate in the election for the House of Representatives in this district last November? NOTE: R was read the names of the candidates who ran in the Congressional District where he/she was residing at the time of the Pilot Interview. Voters who had moved out of their 1992 Congressional District could not have voted for these candidates. Users are advised to delete these cases (V7007=1) when using this variable. Data from Q. E17a (FORMS 2,4) have been copied here. 1. DEMOCRATIC CANDIDATE 2. REPUBLICAN CANDIDATE 5. R DIDN'T VOTE LAST NOVEMBER 8. DK 9. NA 0. INAP, no Pilot Study; 2, 4 in 7003; 5, 8-9 in C5 ============================== VAR M937186 C6. Have you or anyone in your family living there ever contacted Representative (NAME) or anyone in (his/her) office? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937187 (See V937186) C7. Was it to: C7a. express an opinion? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in C6 ============================== VAR M937188 (See V937186) C7. Was it to: C7b. seek information? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in C6 ============================== VAR M937189 (See V937186) C7. Was it to: C7c. seek help on a problem you had? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in C6 ============================== VAR M937190 C8. Do you know anyone else who has contacted Representative (NAME), or anyone in (his/her) office? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937191 C9. In general, do you approve or disapprove of the way Representative (NAME) has been handling (his/her) job? 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937192 (See V937191) C9a. Do you approve strongly or not strongly? 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in C9 ============================== VAR M937193 (See V937191) C9b. Do you disapprove strongly or not strongly? 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in C9 ============================== VAR M937194 C9x. SUMMARY: Representative approval. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW STRONG 8. DISAPPROVE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in C9 ============================== VAR M937195 C10. How often has Representative (NAME) supported President Clinton's legislative proposals? More than half the time, half, less than half the time, or are you not sure? 1. MORE THAN HALF THE TIME 3. HALF THE TIME 5. LESS THAN HALF THE TIME 7. NOT SURE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937196 (See V937195) C10a. Would you say it was almost always? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 7-9 in C10 ============================== VAR M937197 (See V937195) C10b. Would you say it was almost never? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 7-9 in C10 ============================== VAR M937198 C10x. SUMMARY: Representative's support for Clinton. 1. ALMOST ALWAYS 2. MORE THAN HALF OF THE TIME 3. ABOUT HALF OF THE TIME -- 3 in C10 4. LESS THAN HALF OF THE TIME 5. ALMOST NEVER 6. MORE THAN HALF -- DK/NA IF ALMOST ALWAYS 7. LESS THAN HALF -- DK/NA IF ALMOST NEVER 8. NOT SURE (7 in C10) 0. INAP, no Pilot Study; 8-9 in C10 ============================== VAR M937199 (See V937198) C10c. What would be your best guess - more than half of the time or less than half of the time? 1. MORE THAN HALF OF THE TIME 2. LESS THAN HALF OF THE TIME 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 5, 9 in C10 ============================== VAR M937200 C11. (FORMS 1,2) One of the main parts of President Clinton's program this year was his deficit reduction package. Do you happen to know whether Representative (NAME) voted for it? (FORMS 3,4) One of the main parts of President Clinton's program this year was his budget package. Do you happen to know whether Representative (NAME) voted for it? 1. YES - REMEMBERS 5. NO - DOESN'T REMEMBER 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937201 (See V937200) C11b. How did (he/she) vote? 1. VOTED IN FAVOR 5. VOTED AGAINST 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in C11 ============================== VAR M937202 (See V937200) C11c. Could you guess or what would be your best guess? 1. VOTED IN FAVOR 5. VOTED AGAINST 8. DK 9. NA 0. INAP, no Pilot Study; 1 in C11 ============================== VAR M937203 C12. How good a job would you say U.S. Representative (NAME) does of keeping in touch with the people in your district -- does (he/she) do a very good job, fairly good, fairly poor, or a poor job of keeping in touch with the people in this district? 1. VERY GOOD 2. FAIRLY GOOD 4. FAIRLY POOR 5. POOR 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937204 D1. (FORMS 1,2) We hear a lot of talk these days about liberals and conservatives. Think about a ruler where we are measuring political views that people might hold, from liberal to conservative. On this ruler, which goes from one to seven, the number 1 means very liberal political views, and the number seven would be very conservative. Just like a regular ruler, it has points in between at 2, 3, 4, 5, or 6. Where would you place yourself on this ruler or haven't you thought much about this? NOTE: See V7217 for FORMS 3,4. 0. HAVEN'T THOUGHT MUCH - DO NOT PROBE 1. VERY LIBERAL . 7. VERY CONSERVATIVE 8. DK - DO NOT PROBE 9. NA; INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937205 D1a. (FORMS 1,2) Let me make sure that I got that right. A the previous question you placed yourself at number (1/2/3) -- that is on the liberal side. Is that right? Let me make sure that I got that right. At the previous question, you placed yourself at number (5/6/7) -- that is on the conservative side. Is that right? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 0, 4, 8-9 in D1 ============================== VAR M937206 D1b. (FORMS 1,2) The ruler measures political views that people hold from 1 meaning very liberal to 7 meaning very conservative. Like a ruler it has points in between at 2, 3, 4, 5, or 6. Where would you place yourself on this ruler? [This question is repeated if and only if R says previous response is incorrect.] 1. VERY LIBERAL . 7. VERY CONSERVATIVE 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 0, 4, 8-9 in D1; 1, 8-9 in D1a ============================== VAR M937207 D1c. (FORMS 1,2) If you had to choose, would you consider yourself a liberal or a conservative? NOTE: See V7218 for FORMS 3,4. 1. LIBERAL 3. MODERATE, MIDDLE OF THE ROAD 5. CONSERVATIVE 7. R REFUSES TO CHOOSE 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 1-7, 9 in D1 ============================== VAR M937208 D1d. (FORMS 1,2) [If D1a = 1] OK, good, I did get your position right. Let me ask you - are you very certain of where you stand on this, pretty certain, or not very certain? [If D1a = 5, and D1b is different from D1] Now that I have that right, let me ask you - are you very certain of where you stand on this, pretty certain, or not very certain? [If D1 = 4, OR D1a = 5 and D1b = D1] Now let me ask you - are you very certain of where you stand on this, pretty certain, or not very certain? NOTE: See V7219 for FORMS 3,4. 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 0, 8-9 in D1 ============================== VAR M937209 D1e. (FORMS 1,2) Where would you place Bill Clinton on this ruler? NOTE: See V7212 for FORMS 3,4. 1. VERY LIBERAL . 7. VERY CONSERVATIVE 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 9 in D1 ============================== VAR M937210 D1ee. (FORMS 1,2) If you had to choose, would you consider Bill Clinton a liberal or a conservative? NOTE: See V7215 for FORMS 3,4. 1. LIBERAL 3. MODERATE, MIDDLE OF THE ROAD 5. CONSERVATIVE 7. R REFUSES TO CHOOSE 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 9 in D1; 1-7, 9 in D1e ============================== VAR M937211 D1f. (FORMS 1,2) How certain are you of Bill Clinton's position on this? Very certain, pretty certain, or not very certain? NOTE: See V7216 for FORMS 3,4. 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DK 9. NA ============================== VAR M937212 D1-1. (FORMS 3,4) We hear a lot of talk these days abou liberals and conservatives. Think about a ruler where we are measuring political views that people might hold, from liberal to conservative. On this ruler, which goes from one to seven, the number 1 means very liberal political views, and the number seven would be very conservative. Just like a regular ruler, it has points in between at 2, 3, 4, 5, or 6. Where would you place Bill Clinton on this ruler or haven't you thought much about this? 0. HAVEN'T THOUGHT MUCH - DO NOT PROBE 1. VERY LIBERAL 7. VERY CONSERVATIVE 8. DK - DO NOT PROBE 9. NA; INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937213 D1a-1. (FORMS 3,4) Let me make sure that I got that right. At the previous question, you placed Bill Clinton at number (1/2/3) -- that is on the liberal side. Is that right? Let me make sure that I got that right. At the previous question, you placed Bill Clinton at number (5/6/7) -- that is on the conservative side. Is that right? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 0,4,8-9 in D1-1 ============================== VAR M937214 D1b-1. (FORMS 3,4) The ruler measures political views tha people hold from 1 meaning very liberal to 7 meaning very conservative. Like a ruler it has points in between at 2, 3, 4, 5, or 6. Where would you place Bill Clinton on this ruler? 1. VERY LIBERAL 7. VERY CONSERVATIVE 8. DK 9. 0. INAP, no Pilot Study; 1-2 in 7003; 0, 4, 8-9 in D1-1; 1, 8-9 in D1a-1 ============================== VAR M937215 D1c-1. (FORMS 3,4) If you had to choose, would you conside Bill Clinton a liberal or a conservative? 1. LIBERAL 3. MODERATE, MIDDLE OF THE ROAD 5. CONSERVATIVE 7. R REFUSES TO CHOOSE 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 1-7, 9 in D1-1 ============================== VAR M937216 D1d-1. (FORMS 3,4) [If D1a-1 = 1] OK, good, I did get Bill Clinton's position right. Let me ask you - are you very certain of Bill Clinton's position on this, pretty certain, or not very certain? [If D1a-1 = 5, and D1b-1 is different from D1-1] Now that I have that right, let me ask you - are you very certain of Bill Clinton's position on this, pretty certain, or not very certain? [If D1-1 = 4, OR D1a-1 = 5 and D1b-1 = D1-1] Now let me ask you - are you very certain of Bill Clinton's position on this, pretty certain, or not very certain? 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 0, 8-9 in D1-1 ============================== VAR M937217 (See V937216) D1e-1. (FORMS 3,4) Where would you place yourself on this ruler or haven't you thought much about this? 0. HAVEN'T THOUGHT MUCH - DO NOT PROBE 1. VERY LIBERAL 7. VERY CONSERVATIVE 8. DK - DO NOT PROBE 9. NA; INAP, no Pilot Study; 1-2 in 7003; 9 in D1-1 ============================== VAR M937218 D1ee-1. (FORMS 3,4) If you had to choose, would you consider yourself a liberal or a conservative? 1. LIBERAL 3. MODERATE, MIDDLE OF THE ROAD 5. CONSERVATIVE 7. R REFUSES TO CHOOSE 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 9 in D1-1; 1-7, 9 in D1e ============================== VAR M937219 (See V937218) D1f-1. (FORMS 3,4) How certain are you of where you stand on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 9 in D1-1; 0, 8 in D1e ============================== VAR M937220 D1g. Where would you place Ross Perot on this ruler? 1. VERY LIBERAL 7. VERY CONSERVATIVE 8. DK 9. 0. INAP, no Pilot Study; NA in either D1 or D1-1 ============================== VAR M937221 (See V937220) D1h. How certain are you of Ross Perot's position on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DK 9. NA 0. INAP, no Pilot Study; NA in either D1 or D1-1; 8-9 in D1g ============================== VAR M937222 (See V937220) D1i. Where would you place (HOUSE INCUMBENT) on this ruler? 1. VERY LIBERAL 7. VERY CONSERVATIVE 8. DK 9. NA 0. INAP, no Pilot Study; NA in either D1 or D1-1 ============================== VAR M937223 (See V937220) D1ii. How certain are you of (HOUSE INCUMBENT)'s position on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DK 9. NA 0. INAP, no Pilot Study; NA in either D1 or D1-1; 8-9 in D1i ============================== VAR M937224 D1j. Where would you place the Republican Party on this ruler? 1. VERY LIBERAL 7. VERY CONSERVATIVE 8. DK 9. NA 0. INAP, no Pilot Study; NA in either D1 or D1-1 ============================== VAR M937225 D1k. Where would you place the Democratic Party on this ruler? 1. VERY LIBERAL . 7. VERY CONSERVATIVE 8. DK 9. NA 0. INAP, no Pilot Study; NA in either D1 or D1-1 ============================== VAR M937226 D2. I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the person I name. D2a. Think about Bill Clinton. In your opinion, does the phrase he is "honest" describe Bill Clinton extremely well, quite well, not too well, or not well at all? **NOTE: THE ORDER OF ADMINISTRATION OF THE TRAITS WAS RANDOM** 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937227 (See V937226) D2b. provides strong leadership 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937228 (See V937226) D2c. really cares about people like you 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937229 (See V937226) D2d. is knowledgeable 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937230 (See V937226) D2e. gets things done 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937231 D3a. Think about Ross Perot. In your opinion, does the phras he is "honest" describe Ross Perot extremely well, quite well, not too well, or not well at all? 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937232 (See V937231) D3b. provides strong leadership 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937233 (See V937231) D3c. really cares about people like you 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937234 (See V937231) D3d. is knowledgeable 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937235 (See V937231) D3e. gets things done 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937236 E1. Do you feel things in this country are generally going in the right direction, or do you feel things have pretty seriously gotten off on the wrong track? 1. RIGHT DIRECTION 5. WRONG TRACK 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937237 E2. During the past year, would you say that the Unite States' position in the world has grown weaker, stayed about the same, or has it grown stronger? 1. WEAKER 3. STAYED THE SAME 5. STRONGER 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937238 E3. We are interested in how people are getting along financially these days. Would you say that you (and your family living there) are better off or worse off financially than you were a year ago? 1. BETTER OFF 3. SAME 5. WORSE OFF 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937239 (See V937238) E3a. Is that much better off or somewhat better off? 1. MUCH BETTER 2. SOMEWHAT BETTER 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 8-9 in E3 ============================== VAR M937240 (See V937238) E3b. Is that much worse off or somewhat worse off? 1. MUCH WORSE 2. SOMEWHAT WORSE 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 8-9 in E3 ============================== VAR M937241 E3x. R getting along financially SUMMARY. 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in E3 4. SOMEWHAT WORSE 5. MUCH WORSE 7. BETTER -- DK/NA HOW MUCH 8. WORSE -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 8-9 in E3 ============================== VAR M937242 E4. Now looking ahead, do you think that a year from now, you (and your family living there) will be better off financially, or worse off, or just about the same as now? 1. BETTER OFF 3. SAME 5. WORSE OFF 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937243 (See V937242) E4a. (Is that much better off or somewhat better off?) 1. MUCH BETTER 2. SOMEWHAT BETTER 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 8-9 in E4 ============================== VAR M937244 (See V937242) E4b. (Is that much worse off or somewhat worse off?) 1. MUCH WORSE 2. SOMEWHAT WORSE 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 8-9 in E4 ============================== VAR M937245 E4x. R's family better/worse off a year from now SUMMARY. 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in E4 4. SOMEWHAT WORSE 5. MUCH WORSE 7. BETTER -- DK/NA HOW MUCH 8. WORSE -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 8-9 in E4 ============================== VAR M937246 E5. Would you say that what you pay in federal income taxes over the next year will go up, go down, or stay about the same? 1. WILL GO UP 3. STAY ABOUT THE SAME 5. GO DOWN 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937247 (See V937246) E5a. (Would you say it will go up a lot or a little?) 1. GO UP A LOT 2. GO UP A LITTLE 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 8-9 in E5 ============================== VAR M937248 (See V937246) E5b. (Would you say it will go down a lot or a little?) 1. GO DOWN A LOT 2. GO DOWN A LITTLE 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 8-9 in E5 ============================== VAR M937249 E5x. R payment of income tax next year SUMMARY. 1. GO UP A LOT 2. GO UP A LITTLE 3. Stay the same; 3 in E5 4. DOWN A LITTLE 5. DOWN A LOT 7. UP -- DK/NA HOW MUCH 8. DOWN -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 8-9 in E5 ============================== VAR M937250 E6. How about the economy. Would you say that over the past year, the nation's economy has gotten better, stayed about the same, or gotten worse? 1. GOTTEN BETTER 3. SAME 5. GOTTEN WORSE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937251 (See V937250) E6a. (Would you say much better or somewhat better?) 1. MUCH BETTER 2. SOMEWHAT BETTER 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 8-9 in E6 ============================== VAR M937252 (See V93 7250) E6b. (Would you say much worse off or somewhat worse off?) 1. MUCH WORSE 2. SOMEWHAT WORSE 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 8-9 in E6 ============================== VAR M937253 E6x. National economy in the past year -- SUMMARY. 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Same; 3 in E6 4. SOMEWHAT WORSE 5. MUCH WORSE 7. BETTER -- DK/NA HOW MUCH 8. WORSE -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 8-9 in E6 ============================== VAR M937254 E7. Over the past year, would you say that the economic policies of the federal government have made the nation's economy better, worse, or haven't they made much difference either way? 1. BETTER 3. HAVEN'T MADE MUCH DIFFERENCE 5. WORSE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937255 (See V937254) E7a. (Would you say much better or somewhat better?) 1. MUCH BETTER 2. SOMEWHAT BETTER 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 8-9 in E7 ============================== VAR M937256 (See V937254) E7b. (Would you say much worse or somewhat worse?) 1. MUCH WORSE 2. SOMEWHAT WORSE 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 8-9 in E7 ============================== VAR M937257 (See V937254) E7c. If you had to choose, would it be close to better or worse? 1. CLOSER TO BETTER 5. CLOSER TO WORSE 7. HAVEN'T MADE MUCH DIFFERENCE (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study; 1, 5, 8-9 in E7 ============================== VAR M937258 E7x. SUMMARY: Federal government economic policies. 11. MUCH BETTER 12. SOMEWHAT BETTER 13. CLOSER TO BETTER 14. HAVEN'T MADE MUCH DIFFERENCE (7 IN E7c) 15. CLOSER TO WORSE 16. SOMEWHAT WORSE 17. MUCH WORSE 96. HAVEN'T MADE MUCH DIFFERENCE -- DK/NA WHICH CLOSER 97. BETTER -- DK/NA HOW MUCH 98. WORSE -- DK/NA HOW MUCH 00. INAP, no Pilot Study; 8, 9 in E7 ============================== VAR M937259 E8. What about the next 12 months? Do you expect the national economy to get better, get worse, or stay about the same? 1. GET BETTER 3. STAY THE SAME 5. GET WORSE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937260 E9. Do you think that twenty years from now, the standard of living for people who are just children now will be better, about the same, or worse than it is today? 1. BETTER 3. SAME 5. WORSE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937261 E10. Over the long haul, is free trade between the U.S. an other countries more likely to bring about higher levels of prosperity for all, or more likely to cause American jobs to be lost to foreign competition? 1. MORE LIKELY TO BRING HIGHER LEVELS OF PROSPERITY 5. MORE LIKELY TO BRING LOSSES OF AMERICAN JOBS 7. BOTH (VOLUNTEERED) 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937262 (See V937261) E10a(A). (FORMS 1,2) Do you feel strongly or not strongly about that? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 7-9 in E10 ============================== VAR M937263 E10x(A). SUMMARY: (FORMS 1,2) Trade, strength. 1. HIGHER LEVELS OF PROSPERITY -- STRONG 2. HIGHER LEVELS OF PROSPERITY -- NOT STRONG 3. BOTH (VOLUNTEERED) 4. LOSSES OF AMERICAN JOBS -- NOT STRONG 5. LOSSES OF AMERICAN JOBS -- STRONG 7. HIGHER PROSPERITY -- DK/NA HOW STRONG 8. LOSSES OF AMERICAN JOBS -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 3-4 in 7003; 8-9 in E10 ============================== VAR M937264 E10a(B). (FORMS 3,4) Do you think that the level of prosperit will be a lot higher or just somewhat higher? 1. PROSPERITY - A LOT HIGHER 2. PROSPERITY - SOMEWHAT HIGHER 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 5, 7-9 in E10 ============================== VAR M937265 E10b(B). (FORMS 3,4) Do you think a lot of jobs or only som jobs will be lost? 1. A LOT OF JOBS WILL BE LOST 2. SOME JOBS WILL BE LOST 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 1, 7-9 in E10 ============================== VAR M937266 E10x(B). (FORMS 3,4) Trade amount jobs lost -- SUMMARY 1. PROSPERITY -- A LOT HIGHER 2. PROSPERITY -- SOMEWHAT HIGHER 3. Both (VOLUNTEERED) (7 in E10) 4. SOME JOBS WILL BE LOST 5. A LOT OF JOBS WILL BE LOST 7. PROSPERITY -- DK/NA HOW HIGH 8. JOBS LOST -- DK/NA HOW MANY 0. INAP, no Pilot Study; 1-2 in 7003; 8-9 in E10 ============================== VAR M937267 E11. Now we would like to know something about the feelings you have toward Bill Clinton. Has Bill Clinton -- because of the kind of person he is, or because of something he has done -- ever made you feel: E11a. angry? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937268 (See V937267) E11b. hopeful? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937269 (See V937267) E11c. afraid? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937270 (See V937267) E11d. proud? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937271 E12. Think about Ross Perot. Has Ross Perot -- because of the kind of person he is, or because of something he has done -- ever made you feel: E12a. angry? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937272 (See V937271) E12b. hopeful? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937273 (See V937271) E12c. afraid? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937274 (See V937271) E12d. proud? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937275 E13. Do you think it is better when one party controls both the presidency and the Congress; better when control is split between the Democrats and the Republicans, or doesn't it matter? 1. ONE PARTY CONTROLS BOTH 3. CONTROL IS SPLIT 5. IT DOESN'T MATTER 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937276 E14a. President Clinton has asked Congress for a combination of tax increases and cuts in government spending. Do you think Clinton asked for too large a tax increase, about the right amount, or too samll of a tax increase? 1. TOO LARGE 3. RIGHT AMOUNT 5. TOO SMALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937277 E14b. Do you think Clinton asked for too much, the right amount, or not enough cuts in government programs? 1. TOO LARGE 3. RIGHT AMOUNT 5. TOO SMALL 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937278 E15a. Which party do you think would do a better job of handling the nation's economy..., the Democrats, the Republicans, or wouldn't there be much difference between them? 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL.) 7. NEITHER (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937279 (See V937278) E15b. ...handling foreign affairs? 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL.) 7. NEITHER (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937280 (See V937278) E15c. ...making health care more affordable? 1. DEMOCRATS 2. REPUBLICANS 3. NO DIFFERENCE 4. PEROT (VOL.) 7. NEITHER (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937281 E16. Which party is more likely to raise taxes; the Democrats, 1. DEMOCRATS 3. NOT MUCH DIFFERENCE 5. REPUBLICANS 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937282 E17. (FORMS 2,4) In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you -- did you vote in the election this past November? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3 in 7003 ============================== VAR M937283 E17a. (FORM 2) Did you vote for the Democratic candidate or the Republican candidate in the election for the House of Representatives in this district last November? (FORM 4) Did you vote for (NAME), the Democratic candidate or (NAME), the Republican candidate in the election for the House of Representatives in this district last November? NOTE: R was read the names of the candidates who ran in the Congressional District where he/she was residing at the time of the Pilot Interview. Voters who had moved out of their 1992 Congressional District could not have voted for these candidates. Users are advised to delete these cases (V7007=1) when using this variable. 1. DEMOCRATIC CANDIDATE 2. REPUBLICAN CANDIDATE 5. R DIDN'T VOTE LAST NOVEMBER 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3 in 7003; 5, 8-9 in E17 ============================== VAR M937284 E18. Have you heard or read enough about the proposed North American Free Trade Treaty, NAFTA, to have an opinion about it? 1. YES I HAVE 5. NO I HAVEN'T 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937285 (See V937284) E18a. Do you favor or oppose this agreement? 1. FAVOR 5. OPPOSE 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in E18 ============================== VAR M937286 (See V937284) E18b. Do you favor it strongly or not strongly? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5,8-9 in E18; 5,8-9 in E18a ============================== VAR M937287 (See V937284) E18b. Do you oppose it strongly or not strongly? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in E18; 1,8-9 in E18a ============================== VAR M937288 E18x. SUMMARY: NAFTA approval. 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 7. FAV0R -- DK/NA HOW STRONG 8. OPPOSE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 5, 8-9 in E18; 8-9 in E18a ============================== VAR M937289 E19. Which comes closer to your view: In raising their children, parents should encourage boys to be masculine and girls to be feminine, or Parents should pay little attention to traditional notions of masculinity and feminity. 1. PARENTS SHOULD ENCOURAGE 5. PARENTS SHOULD PAY LITTLE ATTENTION 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937290 (See V937289) E19a(A). (FORMS 1,2) Do you feel strongly or not strongly about that? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 8-9 in E19 ============================== VAR M937291 E19x(A). SUMMARY: (FORMS 1,2) Gender socialization. 1. ENCOURAGE STRONGLY 2. ENCOURAGE NOT STRONGLY 4. LITTLE ATTENTION NOT STRONGLY 5. LITTLE ATTENTION STRONGLY 7. ENCOURAGE -- DK/NA HOW MUCH 8. PAY LITTLE ATTENTION -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 3-4 in 7003; 8-9 in E19 ============================== VAR M937292 (See V937291) E19c(B). (FORMS 3,4) Do you think parents should give a lot of attention to this matter or only some? 1. A LOT OF ATTENTION 2. SOME ATTENTION 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 5,8-9 in E19 ============================== VAR M937293 (See V937291) E19d(B). (FORMS 3,4) Do you think parents should pay any attention at all to this? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 1, 8-9 in E19 ============================== VAR M937294 E19x1. (FORMS 3,4) Parents gender socialization -- SUMMARY 1. A LOT OF ATTENTION 2. SOME ATTENTION 4. LITTLE ATTENTION 5. NO ATTENTION AT ALL 7. PAY ATTENTION -- DK/NA HOW MUCH 8. LITTLE ATTENTION -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 1-2 in 7003; 8-9 in E19 ============================== VAR M937295 E20. Do you ever think of yourself as an independent in politics, or does being a political independent not really apply to the way you think of yourself? 1. YES, THINK OF MYSELF AS INDEPENDENT 5. NO, DON'T THINK OF MYSELF AS INDEPENDENT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937296 E20a. Do you consider yourself a strong independent or a not so strong independent? 1. STRONG INDEPENDENT 5. NOT SO STRONG INDEPENDENT 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in E20 ============================== VAR M937297 E21. In general, do you approve or disapprove of the way the U.S. Congress has been handling its job? 1. APPROVE 5. DISAPPROVE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937298 (See V937297) E21a(A). (FORMS 1,2) Do you approve strongly or not strongly? 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 5, 8-9 in E21 ============================== VAR M937299 (See V937297) E21b(A). (FORMS 1,2) Do you disapprove strongly or not strongly? 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 1, 8-9 in E21 ============================== VAR M937300 E21x(A). (FORMS 1,2) Congress approval -- SUMMARY. 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 7. APPROVE -- DK/NA HOW MUCH 8. DISAPPROVE -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 3-4 in 7003; 8-9 in E21 ============================== VAR M937301 (See V937300) E21c(B). (FORMS 3,4) Do you approve of almost everything it has done or most things? 1. APPROVE OF ALMOST EVERYTHING 2. APPROVE OF MOST THINGS 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 5, 8-9 in E21 ============================== VAR M937302 (See V937300) E21d(B). (FORMS 3,4) Do you disapprove of almost everything it has done or just most things? 1. DISAPPROVE OF ALMOST EVERYTHING 2. DISAPPROVE OF MOST THINGS 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 1, 8-9 in E21 ============================== VAR M937303 E21x1(B). SUMMARY: (FORM 3/4) Approval of amounts of things Congress has done. 1. APPROVE OF ALMOST EVERYTHING 2. APPROVE OF MOST THINGS 4. DISAPPROVE OF MOST THINGS 5. DISAPPROVE OF ALMOST EVERYTHING 7. APPROVAL -- DK/NA QUANTITY 8. DISAPPROVAL -- DK/NA QUANTITY 0. INAP, no Pilot Study; 1-2 in 7003; 8-9 in E21 ============================== VAR M937304 E22. How much attention do U.S. Senators and members of th U.S. House of Representatives pay to the people who elected them - a good deal, some, or not much? 1. A GOOD DEAL OF ATTENTION 3. SOME ATTENTION 5. NOT MUCH ATTENTION 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937305 E23. Please tell me whether you agree or disagree with each of the following statements: The truth is we probably don't need political parties in America anymore. Do you agree strongly, agree somewhat, disagree somewhat, or disagree strongly? 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937306 (See V937305) E24. If special interests in Washington didn't have so much power, most of the problems government deals with could be easily solved. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937307 (See V937305) E25. Media coverage of politics often reflects the media's own biases more than facts. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937308 (See V937305) E26. The more I learn about what's going on in Washington, the more I feel that the government in this country has broken down and needs big changes. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937309 (See V937305) E27. We need to reduce the federal budget deficit, even if that means ordinary people will have to pay more taxes. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937310 (See V937305) E28. We need to reduce the federal budget deficit, even if that means spending less money for health care and education. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937311 E29. Which of the following would you prefer: a. A continuation of the two party system of Democrats and Republicans, or b. Elections in which candidates run as individuals without party labels, or c. The growth of one or more new parties that could effectively challenge the Democrats and the Republicans. 1. TWO-PARTY SYSTEM, DEMOCRATS AND REPUBLICANS 2. CANDIDATES WITHOUT PARTY LABELS 3. ONE OR MORE NEW PARTIES 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937312 E30. Since the last November election, have you been contacte by a representative of Ross Perot or of United We Stand America? 1. YES, I HAVE 5. NO, I HAVEN'T 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937313 E31. Have you ever thought of yourself as a supporter of Ross Perot or of United We Stand America? 1. YES, I HAVE 5. NO, I HAVEN'T 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937314 E32. Are you a member of United We Stand America, that is, have you paid the $15 membership fee? 1. YES, I HAVE 5. NO, I HAVEN'T 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in E31 ============================== VAR M937315 E33. As you know, there is a great deal of debate in Washington about budget politics -- that is, about how much government spending we need, how high taxes need to be to pay for it, and how to reduce the budget deficit. Is this something you have an opinion about or haven't you paid much attention to this issue? 1. YES, HAVE AN OPINION 5. HAVEN'T THOUGHT MUCH ABOUT IT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937316 E33a. What is most important for the government to do right now: keep up current levels of government spending on domestic programs like health care and education; prevent tax increases, or cut the budget deficit? 1. KEEP CURRENT LEVELS 2. PREVENT TAX INCREASES 3. CUT THE DEFICIT 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in E33 ============================== VAR M937317 E33b. E33(1) What is second most important for the government to do right now:prevent tax increases or cut the budget deficit? E33(2) What is second most important for the government to do right now: keep up current levels of spending on domestic programs like health care and education or cut the budget deficit? E33(3) What is second most important for the government to do right now: keep up current levels of government spending on domestic programs like health care and education or prevent tax increases? 1. KEEP CURRENT LEVELS 2. PREVENT TAX INCREASES. 3. CUT THE DEFICIT 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in E33; 8-9 in E33a ============================== VAR M937318 E33c. What should the government in Washington do to cut the budget deficit? (What else should it do?) Code up to 6 Mentions 01. Cut/limit/freeze spending - across the board or areas not specified. 02. Cut/eliminate wasteful, useless, unimportant, unnecessary spending; get rid of the fat; eliminate pork barrel spending - programs or areas of spending not specified; spending designed to benefit one congressman's district/one city or county - all mentions. 03. Get rid of fraud/corruption/graft/kickbacks in government and government spending - all mentions. 04. Reorganize spending priorities to cut/eliminate least important programs so more can be spent on important programs - all mentions (also code specific program mentions in 21-39, if given). 05. Run the government more efficiently/carefully; run the government (more) like a business/evaluate the need for all programs, departments and spending in a business-like way - all mentions. 06. Reduce the size of the federal government (except 07) - cut size of the bureaucracy; eliminate duplication of services or programs; pass responsibility for certain programs back to the states or local governments; support fewer programs/stop trying to be all things to all people. 07. Reduce the cost/size of the Congress (except 22) - have fewer committees/congressional staff. 08. Reduce/eliminate/simplify federal regulation, red tape, paperwork. 19. Other general spending mentions. 21. Cut/eliminate the pay, fringe benefits, retirement programs, perks of federal employees (except 22). 22. Cut/eliminate the pay, fringe benefits, retirement programs, perks of politicians, members of Congress, ex-members of Congress, ex-presidents. 23. Cut/eliminate spending for the military, defense, overseas bases and deployment of troops. 24. Cut/eliminate spending for the space program. 25. Cut/eliminate spending for aid or support given foreign nations, the U.N. 26. Cut/eliminate spending for education; change the way money is spent for education. 27. Cut/eliminate spending for the arts. 28. Cut/eliminate spending for research programs, grants. 29. Cut/eliminate spending for domestic (special) interest subsidies (farm subsidies, rural electricity subsidies, merchant marine subsidies, etc.). 30. Cut/eliminate spending for entitlement programs - programs not specified. 31. Cut/eliminate spending for welfare, social programs (including medicaid, food stamps, ADC, etc.). 32. Cut/eliminate spending on illegal immigrants - all mentions. 33. Cut/eliminate spending for social security, medicare. 39. Other specific spending mentions. 41. Raise taxes - not specified which taxes or on whom. 42. Close tax loopholes - not specified which taxes or for whom. 43. Raise income taxes - across the board or not specified for whom. 44. Raise tariffs on imported goods. 45. Raise taxes on goods and services - gasoline, heating fuels, alcohol, tobacco, telephone service, luxury items, etc. 46. Raise taxes/close loopholes for corporations/businesses - all mentions. 47. Raise taxes/close loopholes for the "wealthy", the people who can afford to pay more - all mentions. 55. Cut taxes - all mentions. 59. Other revenue or tax mentions. 71. Limit the terms of members of Congress. 72. Reform financing of Congressional elections. 73. Control/eliminate lobbying, lobbyists. 81. Create more jobs for people/provide (more) incentive for business to create more jobs (so tax revenues will increase); provide retraining for unemployed workers (so they can become taxpayers again). 89. Other political system mentions. 96. Balance the budget - not further specified. 97. Other miscellaneous mentions. 98. DK 99. NA 00. INAP, no Pilot Study; no further mention ============================== VAR M937319 (See V937318 for question and codes) [Mention 2] ============================== VAR M937320 (See V937318 for question and codes) [Mention 3] ============================== VAR M937321 (See V937318 for question and codes) [Mention 4] ============================== VAR M937322 (See V937318 for question and codes) [Mention 5] ============================== VAR M937323 (See V937318 for question and codes) [Mention 6] ============================== VAR M937324 F1. Do you favor or oppose laws to protect homosexuals against job discrimination? 1. FAVOR 5. OPPOSE 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937325 (See V937324) F1a. Do you favor such laws strongly or not strongly? 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in F1 ============================== VAR M937326 (See V937324) F1b. Do you oppose such laws strongly or not strongly? 1. OPPOSE STRONGLY 2. OPPOSE NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in F1 ============================== VAR M937327 F1x. Favor/oppose law to protect homosexuals -- SUMMARY 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 7. FAVOR -- DK/NA HOW STRONG 8. OPPOSE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F1 ============================== VAR M937328 F2. Do you think homosexuals should be allowed to serve in the United States Armed Forces or don't you think so? 1. YES, THINK SO 5. DON'T THINK SO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937329 F2a. Do you feel (that) strongly or not strongly (that homosexuals should be allowed to serve in the United States Armed Forces)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in F2 ============================== VAR M937330 F2b. Do you feel (that) strongly or not strongly (that homosexuals should not be allowed to serve in the United States Armed Forces)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in F2 ============================== VAR M937331 F2x. Homosexuals should be allowed into the Armed Forces--SUMMARY 1. FEEL STRONGLY SHOULD BE ALLOWED 2. FEEL NOT STRONGLY SHOULD BE ALLOWED 4. FEEL NOT STRONGLY SHOULD NOT BE ALLOWED 5. FEEL STRONGLY SHOULD NOT BE ALLOWED 7. SHOULD BE ALLOWED -- DK/NA HOW STRONG 8. SHOULD NOT BE ALLOWED -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F2 ============================== VAR M937332 F3. Do you think gay or lesbian couples, in other words homosexual couples, should be legally permitted to adopt children? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937333 F3a. Do you feel (that) strongly or not strongly (tha homosexual couples should be legally permitted to adopt children)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in F3 ============================== VAR M937334 F3b. Do you feel (that) strongly or not strongly (that homosexual couples should not be legally permitted to adopt children)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in F3 ============================== VAR M937335 F3x. Should homosexual couples be allowed to adopt children -- SUMMARY 1. FEEL STRONGLY SHOULD BE PERMITTED 2. FEEL NOT STRONGLY SHOULD BE PERMITTED 4. FEEL NOT STRONGLY SHOULD NOT BE PERMITTED 5. FEEL STRONGLY SHOULD NOT BE PERMITTED 7. SHOULD BE PERMITTED -- DK/NA HOW STRONG 8. SHOULD NOT BE PERMITTED -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F3 ============================== VAR M937336 F4. Do you think being homosexual is something people choos to be, or do you think it is something they cannot change? 1. PEOPLE CHOOSE TO BE HOMOSEXUALS 5. SOMETHING THEY CANNOT CHANGE 7. NEITHER (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937337 F4a. Do you believe (this) strongly or not strongly (that being homosexual is something that people choose to be)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 7-9 in F4 ============================== VAR M937338 F4b. Do you believe (this) strongly or not strongly (that being homosexual is something that people cannot change)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 7-9 in F4 ============================== VAR M937339 F4x. Homosexuality cannot be changed -- SUMMARY 1. PEOPLE CHOOSE -- STRONGLY 2. PEOPLE CHOOSE -- NOT STRONGLY 4. PEOPLE CANNOT CHANGE -- NOT STRONGLY 5. PEOPLE CANNOT CHANGE -- STRONGLY 6. NEITHER (7 in F4) 7. PEOPLE CHOOSE -- DK/NA HOW STRONG 8. PEOPLE CANNOT CHANGE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F4 ============================== VAR M937340 F5. Which comes closer to your view: One: If they get the chance, many homosexuals will try to seduce people who are not homosexual. Or, Two: Like the majority of people, homosexuals don't make sexual advances on people who are not interested. 1. WILL TRY TO SEDUCE 2. DON'T MAKE ADVANCES 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937341 F5a. Do you believe (that) strongly or not so strongly (tha many homosexuals will try to seduce people who are not homosexuals)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 2, 8-9 in F5 ============================== VAR M937342 F5b. Do you believe (that) strongly or not so strongly (tha like most people, homosexuals don't make advances on people who are not interested)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in F5 ============================== VAR M937343 F5x. Seduction and homosexuality -- SUMMARY 1. WILL TRY TO SEDUCE -- STRONGLY 2. WILL TRY TO SEDUCE -- NOT STRONGLY 4. DON'T MAKE ADVANCES -- NOT STRONGLY 5. DON'T MAKE ADVANCES -- STRONGLY 7. TRY TO SEDUCE -- DK/NA HOW STRONG 8. DON'T MAKE ADVANCES -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F5 ============================== VAR M937344 F6. Some people find the very idea of homosexuality disgusting, while others don't have that particular emotional reaction. What about you? 1. YES, FEEL DISGUSTED 5. NO, DON'T HAVE THAT REACTION 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937345 F6a. Do you feel strongly or not so strongly disgusted by homosexuality? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in F6 ============================== VAR M937346 F6b. Would you say that the idea of other people practicing homosexuality makes you feel personally uncomfortable, or that you don't have that reaction either? 1. FEEL UNCOMFORTABLE 2. DON'T HAVE THAT REACTION 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in F6 ============================== VAR M937347 F6x. Homosexuality disgusting -- SUMMARY 1. FEEL STRONGLY DISGUSTED 2. FEEL NOT STRONGLY DISGUSTED 4. FEEL UNCOMFORTABLE BUT NOT DISGUSTED 5. NOT UNCOMFORTABLE OR DISGUSTED 7. DISGUSTED -- DK/NA HOW STRONG 8. NOT UNCOMFORTABLE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F6 ============================== VAR M937348 F7. Which comes closer to how you feel: "If I had a job working with a gay or lesbian, I would be worried about getting AIDS or some other disease", or "I don't worry that working with a homosexual would pose any special danger of disease." 1. AFRAID OF GETTING AIDS OR SOME OTHER DISEASE 5. WON'T POSE ANY SPECIAL DANGER 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937349 F7a. (FORMS 1,2) Would you worry about that a lot or a little? (FORMS 3,4) Would you worry a lot or a little about getting a disease from working with homosexuals? 1. WORRY A LOT 2. WORRY A LITTLE 8. DK 9. NA 0. INAP, no Pilot Study; 5, 8-9 in F7 ============================== VAR M937350 (See V937349) (FORMS 3,4) Are you somewhat confident or very confident that working with a homosexual poses no special danger of disease? 1. SOMEWHAT CONFIDENT - NO DANGER 2. VERY CONFIDENT - NO DANGER 8. DK 9. NA 0. INAP, no Pilot Study; 1, 8-9 in F7 ============================== VAR M937351 F7x. Getting disease by working with gays/lesbian -- SUMMARY 1. VERY WORRIED 2. A LITTLE WORRIED 4. SOMEWHAT CONFIDENT -- NO DANGER 5. VERY CONFIDENT -- NO DANGER 7. WORRIED -- DK/NA HOW MUCH 8. CONFIDENT -- DK/NA HOW MUCH 0. INAP, no Pilot Study; 8-9 in F7 ============================== VAR M937352 F8. Which of these statements comes closer to your view: One, homosexuality is unnatural. Or, Two, for some people, homosexuality is their natural sexuality. 1. HOMOSEXUALITY UNNATURAL 2. HOMOSEXUALITY NATURAL TO HOMOSEXUALS 7. NEITHER 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937353 F8a. Do you feel (that way) strongly or not strongly (that homosexuality is unnatural)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 2, 7-9 in F8 ============================== VAR M937354 F8b. Do you feel (that way) strongly or not strongly (that homosexuality is the natural sexuality of gays and lesbians)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 7-9 in F8 ============================== VAR M937355 F8x. Homosexuality natural -- SUMMARY 1. STRONGLY -- HOMOSEXUALITY IS UNNATURAL 2. NOT STRONGLY -- HOMOSEXUALITY IS UNNATURAL 4. NOT STRONGLY -- IS NATURAL-SEXUALITY 5. STRONGLY -- IS NATURAL-SEXUALITY 6. NEITHER 7. UNNATURAL -- DK/NA HOW STRONG 8. NATURAL-SEXUALITY -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in F8 ============================== VAR M937356 F9. Some people think that homosexuals have too much influence in American life and politics, others think they have just about the right amount of influence, while other people feel they don't have enough influence. What is your opinion? OPTIONS MUST BE READ! Homosexuals have too much influence; homosexuals have just the right amount of influence, or homosexuals don't have enough influence? 1. HAVE TOO MUCH INFLUENCE 3. HAVE JUST THE RIGHT AMOUNT OF INFLUENCE 5. DON'T HAVE ENOUGH INFLUENCE 7. NONE OF THESE IS RIGHT (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937357 F9a. Do you feel that homosexuals have much too much influence or only a little too much influence? 1. MUCH TOO MUCH INFLUENCE 2. LITTLE TOO MUCH INFLUENCE 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 7-9 in F9 ============================== VAR M937358 F9b. Do you feel that homosexuals have far too little influence or only slightly too little influence? 1. FAR TOO LITTLE INFLUENCE 2. ONLY SLIGHTLY TOO LITTLE INFLUENCE 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 7-9 in F9 ============================== VAR M937359 F9c. Are you closer to feeling that homosexuals have a little too much influence or only slightly too little influence? 1 CLOSER TO A LITTLE TOO MUCH 2 CLOSER TO SLIGHTLY TOO LITTLE 7 RIGHT AMOUNT (VOL.) 8 DK 9 NA 0 INAP, no Pilot Study; 1, 5, 7-9 in F9 ============================== VAR M937360 F9x. Homosexual influence -- SUMMARY 11. MUCH TOO MUCH INFLUENCE 12. LITTLE TOO MUCH INFLUENCE 13. CLOSER TO A LITTLE TOO MUCH 14. HOMOSEXUALS HAVE JUST THE RIGHT AMOUNT OF INFLUENCE (7-9 in 12c) 15. CLOSER TO SLIGHTLY TOO LITTLE 16. SLIGHTLY TOO LITTLE INFLUENCE 17. FAR TOO LITTLE INFLUENCE 97. TOO MUCH -- DK/NA (follow-up) 98. TOO LITTLE -- DK/NA (follow-up) 00. INAP, no Pilot Study; 7-9 in F9 ============================== VAR M937361 F10. Do you feel that: Homosexuality is against the will of God; That homosexuality can be acceptable to God; or That homosexuality should have nothing to do with God? 1. AGAINST THE WILL OF GOD 3. CAN BE ACCEPTABLE TO GOD 5. SHOULD HAVE NOTHING TO DO WITH GOD 7. NONE OF THESE ARE RIGHT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937362 F10a. Do you feel (that) strongly or not strongly (that homosexuality is against God's will)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3, 5, 7-9 in F10 ============================== VAR M937363 F10b. Do you feel (that) strongly or not strongly (that homosexuality can be acceptable to God)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 5, 7-9 in F10 ============================== VAR M937364 F10c. Do you feel (that) strongly or not strongly (that homosexuality should have nothing to do with God)? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3, 7-9 in F10 ============================== VAR M937365 F10x. Homosexuality and God -- SUMMARY 1. HOMOSEXUALITY AGAINST GOD'S WILL -- STRONGLY 2. HOMOSEXUALITY AGAINST GOD'S WILL -- NOT STRONGLY 3. HOMOSEXUALITY SHOULD HAVE NOTHING TO DO WITH GOD OR RELIGION 4. HOMOSEXUALITY ACCEPTABLE TO GOD -- NOT STRONGLY 5. HOMOSEXUALITY ACCEPTABLE TO GOD -- STRONGLY 6. None of the above 7. HOMOSEXUALITY AGAINST GOD'S WILL -- DK STRENGTH 8. HOMOSEXUALITY ACCEPTABLE TO GOD -- DK STRENGTH. 0. INAP, no Pilot Study; 7-9 in F10 ============================== VAR M937366 G1. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? 1. REPUBLICAN 2. INDEPENDENT 3. NO PREFERENCE 4. OTHER PARTY 5. DEMOCRAT 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937367 G1a. Would you call yourself a strong Republican or a not very strong Republican? 1. STRONG 5. NOT VERY STRONG 8. DK 9. NA 0. INAP, no Pilot Study; 2-5, 8-9 in G1 ============================== VAR M937368 G1b. Would you call yourself a strong Democrat or a not very strong Democrat? 1. STRONG 5. NOT VERY STRONG 8. DK 9. NA 0. INAP, no Pilot Study; 1-4, 8-9 in G1 ============================== VAR M937369 G1c. Do you think of yourself as closer to the Republican Party or to the Democratic Party? 1. CLOSER TO REPUBLICAN 3. NEITHER 5. CLOSER TO DEMOCRATIC 8. DK 9. NA 0. INAP, no Pilot Study; 1, 5, 8-9 in G1 ============================== VAR M937370 G1x. SUMMARY: R's Party ID Built from G1, G1a-c 0. STRONG DEMOCRAT (5010) 1. WEAK DEMOCRAT (5050, 5080, 5090) 2. INDEPENDENT-DEMOCRAT (2005, 3005, 4005) 3. INDEPENDENT-INDEPENDENT (2003, 2008, 2009) 4. INDEPENDENT-REPUBLICAN (2001, 3001, 4001) 5. WEAK REPUBLICAN (1500, 1800, 1900) 6. STRONG REPUBLICAN (1100) 7. OTHER-MINOR PARTY, REFUSES TO SAY (4003, 4008, 4009) *8. APOLITICAL (3003, 3008, 3009) 9. INAP, no Pilot Study; NA (8000,9000) *NOTE: This variable was built in the same way as the 1992 Pre-Post V3634 except for the Apolitical category, code 8. For the 1993 Pilot V7370, Apoliticals who had voted in 1992 or who had some interest in politics were not recoded to Independents. ============================== VAR M937371 G2. Should the government see to it that everyone has health insurance or should health insurance be left to individuals and their employers? 1. GOVERNMENT SHOULD SEE TO IT 5. SHOULD BE LEFT TO INDIVIDUALS 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937372 (See V937371) G2a. Do you feel strongly or not strongly about that? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 8-9 in G2 ============================== VAR M937373 G2x. Government, health insurance -- SUMMARY 1. STRONGLY -- GOVERNMENT SHOULD SEE TO IT 2. NOT STRONGLY -- GOVERNMENT SHOULD SEE TO IT 4. NOT STRONGLY -- LEFT TO INDIVIDUALS .... 5. STRONGLY -- LEFT TO INDIVIDUALS 7. GOVERNMENT SHOULD SEE TO IT -- DK/NA HOW STRONG 8. LEFT TO INDIVIDUALS -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 8-9 in G2 ============================== VAR M937374 G3(A). (FORMS 1,2) We're going to ask you now to think abou how various government policies might affect you personally and also different groups in American society. First, thinking about you personally and your life as it is: if the government set up a national health insurance plan, would the consequences for you, in general, be very positive, somewhat positive, somewhat negative, very negative, or would there be no consequences for you personally? NOTE: This documentation reflects the sequence in which data were collected. For users' convenience, data from Q. G9(B) (FORMS 3,4) have been copied here. 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937375 (See V937374) G3b(A). (FORMS 1,2) What kind of things do you have in mind? NOTE: This question was asked only of a randomly selected subset (1 out of 10) of those who said there would be personal consequences for them. The responses were not coded. ============================== VAR M937376 G3(B). (FORMS 3,4) We're going to ask you now to think about how various government policies might affect different groups in American society as well as you personally. First, thinking about the country as a whole: if the government set up a national health insurance plan, would the consequences for the country, in general, be very positive, somewhat positive, somewhat negative, very negative, or would there be no consequences for the country as a whole? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937377 (See V937376) G4. Now thinking about our first group, middle-class Americans: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937378 (See V937376) G5. What about wealthy Americans? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937379 (See V937376) G6. What about poor Americans? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937380 (See V937376) G7. What about whites? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937381 (See V937376) G8. What about Blacks? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937382 (See V937376) G9(A). (FORMS 1,2) What about the country as a whole? NOTE: Data from Q. G3(B) (FORMS 3,4) have been copied here. 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937383 (See V937376) G9(B). (FORMS 3,4) Thinking now about you personally and your life as it is: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 G9b(A). (FORMS 3,4) What kind of things do you have in mind? NOTE: This question was asked only of a randomly selected subset (1 out of 10) of those who said there would be personal consequences for them. The responses were not coded. 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937384 G10. Are you currently covered by any health insurance plan? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study ============================== VAR M937385 G11. (FORMS 1,2) At present, only public schools get government tax funds to educate children. Some people, however, say that private and parochial schools should receive tax support too. What is your opinion -- should we continue the policy of giving tax dollars only to public schools, or should we give tax dollars to private and parochial schools too? 1. ONLY TO PUBLIC SCHOOLS 2. PRIVATE AND PAROCHIAL SCHOOLS TOO 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937386 G11a. (FORMS 1,2) Do you support using tax dollars only fo public schools strongly or not strongly? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 2, 8-9 in G11 ============================== VAR M937387 G11b. (FORMS 1,2) Do you support using tax dollars for privat and parochial schools strongly or not strongly? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 1, 8-9 in G11 ============================== VAR M937388 G11x. (FORMS 1,2) Approval of the use of government funds regardless of type of school -- SUMMARY 1. PUBLIC SCHOOLS ONLY STRONGLY 2. PUBLIC SCHOOLS NOT STRONGLY 4. PRIVATE AND PAROCHIAL SCHOOLS NOT STRONGLY 5. PRIVATE AND PAROCHIAL STRONGLY 7. PUBLIC SCHOOLS ONLY -- DK/NA HOW STRONG 8. PRIVATE AND PAROCHIAL -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 3-4 in 7003; 8-9 in G11 ============================== VAR M937389 G12(1). (FORMS 1, First, thinking about you personally and your life as it is: if the government began supporting the education of children attending private and parochial as well as public schools, would the consequences for you, in general, be very positive, somewhat positive, somewhat negative, very negative, or would there be no consequences for you personally? NOTE: Data fom Q. G18(2) (FORM 2) have been copied here 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 2-4 in 7003 ============================== VAR M937390 (See V937389) G12(2). (FORM 2) First, thinking about the country as a whole: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3-4 in 7003 ============================== VAR M937391 (See V937389) G13. (FORMS 1,2) Now thinking about our first group, middle-class Americans: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937392 (See V937389) G14. (FORMS 1,2) What about wealthy Americans? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937393 (See V937389) G15. (FORMS 1,2) What about poor Americans? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937394 (See V937389) G16. (FORMS 1,2) What about whites? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937395 (See V937389) G17. (FORMS 1,2) What about Blacks? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937396 (See V937389) G18(1). (FORM 1) What about the country as a whole? NOTE: Data from Q. G12(2) (FORM 2) have been copied here. 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 2-4 in 7003 ============================== VAR M937397 (See V937389) G18(2) (FORM 2) Thinking now about you personally and your life as it is: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1, 3-4 in 7003 ============================== VAR M937398 G19. (FORMS 1,2) Do you have any children or grandchildren enrolled in either elementary or high school? 1. YES 5. NO 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003 ============================== VAR M937399 (See V937398) G19b. (FORMS 1,2) How many is that? 01-20. ENTER NUMBER 98. DK 99. NA 00. INAP, no Pilot Study; 3-4 in 7003; 5,8-9 in G19 ============================== VAR M937400 G19c. (FORMS 1,2) Are you basically satisfied or dissatisfied with the education that your (grand) (child/children) (is/are) receiving? 1. SATISFIED 3. NEITHER SATISFIED NOR DISSATISFIED (VOL.) 5. DISSATISFIED 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 5, 8-9 in G19 ============================== VAR M937401 (See V937400) G19c1. (FORMS 1,2) Are you completely satisfied, mostly satisfied, or somewhat satisfied with it? 1. COMPLETELY SATISFIED 2. MOSTLY SATISFIED 3. SOMEWHAT SATISFIED 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 5,8-9 in G19; 3, 5, 8-9 in G19c ============================== VAR M937402 (See V937400) G19c2. (FORMS 1,2) Are you completely dissatisfied, mostly dissatisfied, or somewhat dissatisfied with it? 1. COMPLETELY DISSATISFIED 2. MOSTLY DISSATISFIED 3. SOMEWHAT DISSATISFIED 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 5,8-9 in G19; 1, 3, 8-9 in G19c ============================== VAR M937403 G19x. (FORMS 1,2) Satisfaction with children's education -- SUMMARY 10. COMPLETELY SATISFIED 11. MOSTLY SATISFIED 12. SOMEWHAT SATISFIED 13. Neither satisfied nor dissatisfied (VOLUNTEERED) 14. SOMEWHAT DISSATISFIED 15. MOSTLY DISSATISFIED 16. COMPLETELY DISSATISFIED 97. SATISFIED -- DK/NA HOW MUCH 98. DISSATISFIED -- DK/NA HOW MUCH 00. INAP, no Pilot Study; 3-4 in 7003; 5, 9 in G19; 8-9 in G19c ============================== VAR M937404 G19d. (FORMS 1,2) (Does your child/Do your children) attend a public school, a private school, or a parochial school? RECORD VOLUNTEERED COMBINATIONS, e.g. "One goes to public, one to private" 1. PUBLIC SCHOOL 2. PRIVATE SCHOOL 3. PAROCHIAL SCHOOL 4. PUBLIC AND PRIVATE (VOL.) 5. PUBLIC AND PAROCHIAL (VOL.) 6. PRIVATE AND PAROCHIAL (VOL.) 8. DK 9. NA 0. INAP, no Pilot Study; 3-4 in 7003; 5,8-9 in G19 ============================== VAR M937405 G20. (FORMS 3,4) Some people say that because of past discrimination blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion is wrong because it gives blacks advantages they haven't earned. What about your opinion -- are you for or against preferential hiring and promotion of blacks? 1. FOR 5. AGAINST 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937406 (See V937405) G20a. (FORMS 3,4) Do you favor preference in hiring and promotion strongly or not strongly? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 5, 8-9 in G20 ============================== VAR M937407 (See V937405) G20b. (FORMS 3,4) Do you oppose preference in hiring and promotion strongly or not strongly? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 1, 8-9 in G20 ============================== VAR M937408 G20x. (FORMS 3,4) Preference in hiring and promotion of blacks -- SUMMARY 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 7. FAVOR -- DK/NA HOW STRONG 8. OPPOSE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 1-2 in 7003; 8-9 in G20 ============================== VAR M937409 G21(1). (FORM 3) First, thinking about you personally an your life as it is: Have programs that give blacks preferences in hiring and promotion, had in general very positive consequences for you, somewhat positive, somewhat negative, very negative, or no consequences at all for you? NOTE: Data from Q. G27(2) (FORM 4) have been copied here. 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2, 4 in 7003 ============================== VAR M937410 (See V937409) G21(2). (FORM 4) First, thinking about the country as a whole: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-3 in 7003 ============================== VAR M937411 (See V937409) G22. (FORMS 3,4) Now thinking about our first group, middle-class Americans: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937412 (See V937409) G23. (FORMS 3,4) What about wealthy Americans? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE³ 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937413 (See V937409) G24. (FORMS 3,4) What about poor Americans? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937414 (See V937409) G25. (FORMS 3,4) What about whites? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937415 (See V937409) G26. (FORMS 3,4) What about Blacks? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE³ 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937416 (See V937409) G27(1). (FORM 3) What about the country as a whole? 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-2, 4 in 7003 NOTE: Data from Q. G21(2) (FORM 4) have been copied here. ============================== VAR M937417 (See V937409) G27(2).(FORM 4) Now, thinking now about you personally and your life as it is: 1. VERY POSITIVE 2. SOMEWHAT POSITIVE 4. SOMEWHAT NEGATIVE 5. VERY NEGATIVE 7. NO CONSEQUENCES 8. DK 9. NA 0. INAP, no Pilot Study; 1-3 in 7003 ============================== VAR M937418 G28. (FORMS 3,4) What do you think the chances are these days that you or anyone in your family won't get a job or promotion while an equally or less qualified (black/white) employee receives one instead? Is this very likely, somewhat likely, somewhat unlikely, or very unlikely? 1. VERY LIKELY 2. SOMEWHAT LIKELY 3. SOMEWHAT UNLIKELY 4. VERY UNLIKELY 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937419 G29. (FORMS 3,4) I would like you to tell me whether you agre or disagree with the following statement: Affirmative action programs for blacks have reduced whites' chances for jobs and promotions. 1. AGREE 5. DISAGREE 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003 ============================== VAR M937420 G29a. (FORMS 3,4) Do you agree strongly or not strongly with the statement that affirmative action programs for blacks have reduced whites' chances for jobs and promotions? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 5, 8-9 in G29 ============================== VAR M937421 G29b. (FORMS 3,4) Do you disagree strongly or not strongly with the statement that affirmative action programs for blacks have reduced whites' chances for jobs and promotions? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. NA 0. INAP, no Pilot Study; 1-2 in 7003; 1, 8-9 in G29 ============================== VAR M937422 G29x. (FORMS 3,4) Affirmative action programs for blacks have reduced whites' chances for jobs and promotions -- SUMMARY 1. AGREE STRONGLY 2. AGREE NOT STRONGLY 4. DISAGREE NOT STRONGLY 5. DISAGREE STRONGLY 7. AGREE -- DK/NA HOW STRONG 8. DISAGREE -- DK/NA HOW STRONG 0. INAP, no Pilot Study; 1-2 in 7003; 8-9 in G29 ============================== VAR M940001 94PO: 1994 CASE ID COLUMNS 2268 - 2271 NUMERIC 1994 POST CASE ID ----------------- 759 of the 1994 Election Study respondents were initially interviewed in the 1992 Election Study. Please see introduction for further details of the 1994 Study design. 1001. Panel interviews - initially interviewed in 1992 . . 1759. " " 2001. Cross-section interviews . . 3036. " " ============================== VAR M940002 94PO: 94PANEL/CROSS INDICATOR COLUMNS 2272 - 2272 NUMERIC 1994: PANEL/CROSS-SECTION INDICATOR ----------------------------------- 1. PANEL IN 1994 (Tan Coversheet) 2. CROSS-SECTION IN 1994 (Lilac Coversheet) ============================== VAR M940003 94PO: 93PILOT INDICATOR COLUMNS 2273 - 2273 NUMERIC 93 PILOT INDICATOR ------------------ 1. R interviewed in: 92 Pre-post, the 93 Pilot and the 94 Post Study 2. R interviewed in: 92 Pre-post and the 94 Post Study 3. 94 cross-section ============================== VAR M940004 94PO: FULL SAMPLE WEIGHT COLUMNS 2274 - 2279 NUMERIC DEC 4 FULL SAMPLE WEIGHT ------------------ This weight compensates for the unequal probabilities of selection for respondents in different size househols and for different non-response across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to the July 1993 Census population projections for 24 age, by sex by Census region categories (Current Population Reports, P25-1111, Table 4). This is a 6 digit variable with a coded decimal point and 4 actual decimal places. The weight is centered with a mean of 1.0. This weight is particularly appropriate for descriptive statistics. See also the "Construction of Analysis Weights" in the Sample Design section of the Appendix to the codebook for the 1994 Post-election Survey. ============================== VAR M940005 94PO: PANEL ONLY WEIGHT COLUMNS 2280 - 2285 NUMERIC DEC 4 PANEL ONLY WEIGHT ----------------- This weight is to be used for analyses which use only the 759 panel cases; the cross-section cases have a value of "0" in this field. The weight compensates for the unequal probabilities of selection for respondents in different size households, and for differential nonresponse across geographic sample design categories. It is post-stratified to the July 1993 Census population projections for 24 age, by sex by Census region categories (Current Population Reports, P25-1111, Table 4). This weight is centered with a mean of 1.0. This is a 6 digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR M940006 94PO: TIME SERIES WEIGHT COLUMNS 2286 - 2291 NUMERIC DEC 4 TIME SERIES WEIGHT ------------------ This weight should be used in analyses in which the 1994 Panel is compared to earlier unweighted National Election Studies data collections. Variable 6 corrects for panel attrition and for the aging of the panel respondents. Details on the construction of this variable are provided in the Sample Design section of the Appendix to the codebook for the 1994 Post-election Survey. This weight is centered with a mean of 1.0. This is a 6 digit variable with a coded decimal point and 4 actual decimal places. Cross-section cases have a value of 1.0000 in this variable. ============================== VAR M940006A 94PO: TIME SERIES WEIGHT COLUMNS 2292 - 2297 NUMERIC DEC 4 ADDITONAL TIME SERIES WEIGHT - POST-STRATIFIED ---------------------------------------------- This weight was created because V940006 did not correct for an underrepresentation in study data of younger and less-educated respondents. V960006A is constructed to post-stratify the NES data to match the Current Population Study (CPS) estimate of the distribution of age group by education level. See "NEW WEIGHTS FOR THE 1996 STUDY" in the introductory portion of this codebook and Appendix document "Post-Stratified Cross-Sectional Analysis Weights the 1992, 1994 and 1996 NES data." This weight should be used in analyses in which the 1994 Panel is compared to earlier unweighted National Election Studies data collections. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR M940007 94PO: FORM YELLOW/BLUE COLUMNS 2298 - 2298 NUMERIC FORM ---- The original form assignment is recorded here. The only function of this variable is to assign cases to the ballot card experiment. In 1994 respondents were presented alternative versions of the ballot card identical in content, but different in design. Please see Appendix V, Note 4 for sample ballots of each design. Users wishing to employ Form in their analysis should use V611 as a filter to eliminate either cases administered over the phone or cases where it is unclear which form was used. 1. YELLOW 2. BLUE ============================== VAR M940008 94PO: PRIMARY AREA CODE COLUMNS 2299 - 2301 NUMERIC PRIMARY AREA ------------ For Panel respondents who moved since the 1992 Pre-election study, the primary area corresponding to their original sampling address was coded here. The first digit of the Primary Area Code (4 or 5) is meaningless to the user. Its purpose is to allow the Sampling office to track the history of segments as they become active. In the code below, the first digit has been replaced by a "dot" to avoid double listing of the same Primary Area. .01 New York, NY .02 Los Angeles, CA .03 Chicago, IL .04 Philadelphia, PA .05 Detroit, MI .06 San Francisco, CA .07 Washington, DC-MD-VA .08 Dallas-Ft Worth, TX .09 Houston, TX .10 Boston, MA .11 Nassau-Suffolk, NY .12 St Louis, MO-IL .13 Pittsburgh, PA .14 Baltimore, MD .15 Minneapolis, MN-WI .16 Atlanta, GA .17 Buffalo, NY .18 Newark, NJ .21 New Haven, CT .23 Atlantic City, NJ .24 Manchester, NH .26 Milwaukee, WI .27 Dayton, OH .28 Kansas City, MO-KS .29 Des Moines, IA .31 Grand Rapids, MI .32 Ft Wayne, IN .33 Steubenville, OH-WV .34 Saginaw, MI .36 Birmingham, AL .39 Columbus, GA-AL .40 Miami, FL .42 Jacksonville, FL .43 Lakeland, FL .44 McAllen, TX .45 Waco, TX .47 Wheeling, WV-OH .49 Knoxville, TN .50 Richmond, VA .53 Seattle, WA .55 Denver, CO .56 Anaheim, CA .57 Riverside, CA .58 Fresno, CA .59 Eugene, OR .60 Phoenix, AZ .63 Schuyler Co, NY .64 Gardner, MA .65 Sanilac Co, MI .66 Decatur Co, IN .68 Saline Co, NE .70 Mower Co, MN .73 Bulloch Co, GA .74 Sabine Parish, LA .76 Hale Co, TX .77 Ashley Co, AR .78 Bedford Co, TN .80 Montgomery Co, VA .81 Robeson Co, NC .82 El Dorado Co, CA .84 Carbon Co, WY ============================== VAR M940009 94PO: PRIMARY AREA NAME ALPHANUMERIC COLUMNS 2302 - 2322 CHARACTER PRIMARY AREA NAME ----------------- This is an alphabetic variable. For the Panel component of the sample, variable 9 refers to the primary area of the segment from which respondent's household was selected in 1992; respondent may have moved since then. For Cross-Section component, it reflects the primary area of the segment from which the 1994 respondent was selected and was living when interviewed in 1994. ============================== VAR M940010 94PO: SEGMENT COLUMNS 2323 - 2323 NUMERIC SEGMENT ------- For Panel component, variable 10 refers to the location of the area segment from which the respondent's household was selected in 1992; respondent may have moved since then. For Cross-Section component, it reflects the location of the area segment from which the 1994 respondent was selected and was living when interviewed in 1994. This variable has been recoded to missing data for the Public Use Data File. Contact NES if access to this information in desired. ============================== VAR M940011 94PO: CENSUS REGION IN 94 COLUMNS 2324 - 2324 NUMERIC CENSUS REGION (1994) --------------------- For Panel respondents who have moved since the 1992 Pre-election study, the Region where they were residing at the time of the 1994 Post was recorded here. For original sampling assignment see V68. 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, South Dakota, Wisconsin) 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisiana, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 4. West (Arizona, California, Colorado, Oregon, Utah, Washington, Wyoming) ============================== VAR M940012 94PO: STATE ABBREVIATION ALPHANUMERIC COLUMNS 2325 - 2326 CHARACTER STATE ABBREVIATION ------------------ This is a character variable. For Panel respondents who moved since the 1992 Pre-interview the state where they are currently residing is coded here. ============================== VAR M940013 94PO: ICPSR STATE CODE COLUMNS 2327 - 2328 NUMERIC ICPSR STATE CODE ---------------- New England 01. Connecticut 02. Maine 03. Massachusetts 04. New Hampshire 05. Rhode Island 06. Vermont Middle Atlantic 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania East North Central 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin West North Central 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota Solid South 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas Border States 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington, D.C. 56. West Virginia Mountain States 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming Pacific States 71. California 72. Oregon 73. Washington External States 81. Alaska 82. Hawaii ============================== VAR M940014 94PO: FIPS STATE CODE COLUMNS 2329 - 2330 NUMERIC FIPS STATE CODE --------------- States represented in 1994 sample have one asterisk (*). Two asterisks (**) indicate not belonging to the sample, but the state to which a Panel R has moved since 1992. 01. Alabama* 02. Alaska 04. Arizona 05. Arkansas* 06. California* 08. Colorado* 09. Connecticut* 10. Delaware 11. Washington, D.C. 12. Florida* 13. Georgia* 15. Hawaii 16. Idaho 17. Illinois* 18. Indiana* 19. Iowa* 20. Kansas* 21. Kentucky 22. Louisiana* 23. Maine 24. Maryland* 25. Massachusetts* 26. Michigan* 27. Minnesota* 28. Mississippi 29. Missouri* 30. Montana 31. Nebraska* 32. Nevada 33. New Hampshire* 34. New Jersey* 35. New Mexico 36. New York* 37. North Carolina* 38. North Dakota 39. Ohio* 40. Oklahoma 41. Oregon* 42. Pennsylvania* 44. Rhode Island 45. South Carolina 46. South Dakota** 47. Tennessee* 48. Texas* 49. Utah** 50. Vermont 51. Virginia* 53. Washington* 54. West Virginia* 55. Wisconsin* 56. Wyoming* ============================== VAR M940015 94PO: CONGRESSIONAL DISTRICT # COLUMNS 2331 - 2332 CHARACTER CONGRESSIONAL DISTRICT ---------------------- This var refers to the congressional district in which R was residing at the time of the 1994 study. Ranges from 1-50. ============================== VAR M940016 94PO: ICPSR STATE & CD COLUMNS 2333 - 2336 NUMERIC STATE AND CONGRESSIONAL DISTRICT CODE ------------------------------------- This var refers to the congressional district where R was residing at the time of the 1994 Study. Codes sorted in alphabetic order 4103. AL03 4104. AL04 4105. AL05 4106. AL06 4107. AL07 4204. AR04 6101. AZ01 6102. AZ02 6103. AZ03 6104. AZ04 6106. AZ06 7102. CA02 7104. CA04 7106. CA06 7108. CA08 7109. CA09 7110. CA10 7112. CA12 7113. CA13 7119. CA19 7120. CA20 7126. CA26 7127. CA27 7128. CA28 7129. CA29 7132. CA32 7135. CA35 7138. CA38 7139. CA39 7140. CA40 7142. CA42 7143. CA43 7144. CA44 7145. CA45 7146. CA46 7147. CA47 7148. CA48 7150. CA50 6201. CO01 6202. CO02 6204. CO04 6205. CO05 6206. CO06 0103. CT03 4302. FL02 4303. FL03 4304. FL04 4306. FL06 4312. FL12 4313. FL13 4315. FL15 4317. FL17 4318. FL18 4321. FL21 4222. FL22 4401. GA01 4402. GA02 4403. GA03 4404. GA04 4405. GA05 4406. CA06 4407. GA07 4408. GA08 3103. IA03 3104. IA04 2101. IL01 2102. IL02 2103. IL03 2104. IL04 2105. IL05 2106. IL06 2109. IL09 2110. IL10 2112. IL12 2119. IL19 2202. IN02 2204. IN04 2206. IN06 3203. KS03 4504. LA04 0301. MA01 0302. MA02 0306. MA06 0308. MA08 0310. MA10 5202. MD02 5203. MD03 5204. MD04 5205. MD05 5206. MD06 5208. MD08 2302. MI02 2303. MI03 2304. MI04 2305. MI05 2309. MI09 2311. MI11 2312. MI12 2315. MI15 2316. MI16 3301. MN01 3302. MN02 3304. MN04 3305. MN05 3306. MN06 3308. MN08 3402. MO02 3403. MO03 3404. MO04 3405. MO05 3406. MO06 3409. MO09 4701. NC01 4707. NC07 4708. NC08 4709. NC09 3501. NE01 1201. NJ01 1202. NJ02 1205. NJ05 1207. NJ07 1209. NJ09 1210. NJ10 1211. NJ11 1301. NY01 1302. NY02 1303. NY03 1304. NY04 1306. NY06 1307. NY07 1308. NY08 1310. NY10 1311. NY11 1314. NY14 1316. NY16 1317. NY17 1318. NY18 1319. NY19 1327. NY27 1329. NY29 1330. NY30 1331. NY31 2403. OH03 2407. OH07 2408. OH08 2418. OH18 7204. OR04 1401. PA01 1402. PA02 1408. PA08 1412. PA12 1413. PA13 1414. PA14 1418. PA18 3701. SD01 5402. TN02 5403. TN03 5404. TN04 5405. TN05 4903. TX03 4906. TX06 4907. TX07 4908. TX08 4909. TX09 4911. TX11 4913. TX13 4914. TX14 4915. TX15 4918. TX18 4921. TX21 4926. TX26 4929. TX29 4930. TX30 6702. UT02 4001. VA01 4003. VA03 4004. VA04 4007. VA07 4008. VA08 4009. VA09 4010. VA10 7302. WA02 7307. WA07 7308. WA08 7309. WA09 2504. WI04 2505. WI05 2509. WI09 5601. WV01 6801. WY01 Codes sorted in numeric order 0103. CT03 0301. MA01 0302. MA02 0306. MA06 0308. MA08 0310. MA10 0401. NH01 1201. NJ01 1202. NJ02 1205. NJ05 1207. NJ07 1209. NJ09 1210. NJ10 1211. NJ11 1301. NY01 1302. NY02 1303. NY03 1304. NY04 1306. NY06 1307. NY07 1308. NY08 1310. NY10 1311. NY11 1314. NY14 1316. NY16 1317. NY17 1318. NY18 1319. NY19 1327. NY27 1329. NY29 1330. NY30 1331. NY31 1401. PA01 1402. PA02 1408. PA08 1412. PA12 1413. PA13 1414. PA14 1418. PA18 2101. IL01 2102. IL02 2103. IL03 2104. IL04 2105. IL05 2106. IL06 2109. IL09 2110. IL10 2112. IL12 2119. IL19 2202. IN02 2204. IN04 2206. IN06 2302. MI02 2303. MI03 2304. MI04 2305. MI05 2309. MI09 2311. MI11 2312. MI12 2315. MI15 2316. MI16 2403. OH03 2407. OH07 2408. OH08 2418. OH18 2504. WI04 2505. WI05 2509. WI09 3103. IA03 3104. IA04 3203. KS03 3301. MN01 3302. MN02 3304. MN04 3305. MN05 3306. MN06 3308. MN08 3402. MO02 3403. MO03 3404. MO04 3405. MO05 3406. MO06 3409. MO09 3501. NE01 3701. SD01 4001. VA01 4003. VA03 4004. VA04 4007. VA07 4008. VA08 4009. VA09 4010. VA10 4103. AL03 4104. AL04 4105. AL05 4106. AL06 4107. AL07 4204. AR04 4302. FL02 4303. FL03 4304. FL04 4306. FL06 4312. FL12 4313. FL13 4315. FL15 4317. FL17 4318. FL18 4321. FL21 4322. FL22 4401. GA01 4402. GA02 4403. GA03 4404. GA04 4405. GA05 4406. GA06 4407. GA07 4408. GA08 4504. LA04 4701. NC01 4707. NC07 4708. NC08 4709. NC09 4903. TX03 4906. TX06 4907. TX07 4908. TX08 4909. TX09 4911. TX11 4913. TX13 4914. TX14 4915. TX15 4918. TX18 4921. TX21 4926. TX26 4929. TX29 4930. TX30 5202. MD02 5203. MD03 5204. MD04 5205. MD05 5206. MD06 5208. MD08 5402. TN02 5403. TN03 5404. TN04 5405. TN05 5601. WV01 6101. AZ01 6102. AZ02 6103. AZ03 6104. AZ04 6106. AZ06 6201. CO01 6202. CO02 6204. CO04 6205. CO05 6206. CO06 6702. UT02 6801. WY01 7102. CA02 7104. CA04 7106. CA06 7108. CA08 7109. CA09 7110. CA10 7112. CA12 7113. CA13 7119. CA19 7120. CA20 7126. CA26 7127. CA27 7128. CA28 7129. CA29 7132. CA32 7135. CA35 7138. CA38 7139. CA39 7140. CA40 7142. CA42 7143. CA43 7144. CA44 7145. CA45 7146. CA46 7147. CA47 7148. CA48 7150. CA50 7204. OR04 7301. WA01 7302. WA02 7307. WA07 7308. WA08 7309. WA09 ============================== VAR M940017 94PO: TYPE OF HOUSE RACE COLUMNS 2337 - 2338 NUMERIC TYPE OF CONGRESSIONAL RACE (HOUSE OF REPRESENTATIVES) ----------------------------------------------------- Codes represent types of race in 1994 sample CDs. For a complete list of codes for the type of congressional race see Candidate Number Master Code in Note 3. *VA10 only. The independent candidate was treated as the Democratic candidate through the interview. INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 14. Democratic incumbent running -- Unopposed 21. Republican incumbent running -- Democratic challenger 23. Republican incumbent running -- Other challenger* 24. Republican incumbent running -- Unopposed 55. Democratic incumbent not running -- Dem. & Rep. candidates 65. Republican incumbent not running -- Dem. & Rep. candidates 75. Other party incumbent not running -- Dem. & Rep. candidates (NY04 only) ============================== VAR M940018 94PO: TYPE OF SENATE RACE COLUMNS 2339 - 2340 NUMERIC TYPE OF SENATE RACE ------------------- Codes represent types of race in 1994 sample states. For a complete list of codes for the type of Senate race see Candidate Number Master Code in Note 3. INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 19. Democratic incumbent running -- Republican & Independent challengers 21. Republican incumbent running -- Democratic challenger 55. Democratic incumbent not running -- Dem. & Rep. candidates 65. Republican incumbent not running -- Dem. & Rep. candidates 81. Democratic incumbents -- no race in Senate 82. Republican incumbents -- no race in Senate 85. Democratic and Republican incumbents -- no race in state 95. Two senate races in the state (Tennessee only) ============================== VAR M940019 94PO: TYPE OF GOVERNOR RACE COLUMNS 2341 - 2342 NUMERIC TYPE OF GOVERNOR RACE --------------------- Codes represent types of race in 1994 sample states. For a complete list of codes for the type of Gubernatorial race see Candidate Number Master Code in Note 3. INCUMBENT CANDIDATE(S) 12. Democratic incumbent running -- Republican challenger 21. Republican incumbent running -- Democratic challenger 24. Republican incumbent running -- Unopposed 55. Democratic incumbent not running -- Dem. & Rep. candidates 65. Republican incumbent not running -- Dem. & Rep. candidates 75. Other party incumbent not running -- Dem. & Rep. candidates (Connecticut only) 81. Democratic incumbent -- no race in state 82. Republican incumbent -- no race in state ============================== VAR M940020 94PO: ST & CD FOR VOTER OUTSTATE COLUMNS 2343 - 2346 NUMERIC State and Congressional District for Respondents Who Voted Outside of Sample Address ---------------------------------------------------------- The first two digits correspond to the ICPSR state code, the last two digits correspond to the CD number. State is always coded; 99 in last two digits indicates Congressional District number is NA. See V16 for codes. 0000. INAP, did not vote outside sample address, or R did not vote. ============================== VAR M940021 94PO: FIPS STATE & COUNTY COLUMNS 2347 - 2351 NUMERIC FIPS STATE AND COUNTY CODE -- ----------------------------- For Panel respondents who moved since 1992, the State and county where they were residing at the time of the 1994 Post was coded here. 01033. Colbert, AL 01073. Jefferson, AL 01113. Russell, AL 01117. Shelby, AL 01127. Walker, AL 04007. Gila, AZ 04013. Maricopa, AZ 04021. Pinal, AZ 05003. Ashley, AR 06001. Alameda, CA 06013. Contra Costa, CA 06017. El Dorado, CA 06019. Fresno, CA 06037. Los Angeles, CA 06041. Marin, CA 06059. Orange, CA 06065. Riverside, CA 06071. San Bernardino, CA 06073. San Diego, CA 06075. San Francisco, CA 06081. San Mateo, CA 08001. Adams, CO 08005. Arapahoe, CO 08013. Boulder, CO 08031. Denver, CO 08041. El Paso, CO 08059. Jefferson, CO 09009. New Haven, CT 12013. Calhoun, FL 12025. Dade. FL 12027. De Soto, FL 12031. Duval, FL 12073. Leon, FL 12089. Nassau, FL 12105. Polk, FL 12109. St Johns, FL 12115. Sarasota, FL 13031. Bulloch, GA 13063. Clayton, GA 13089. De Kalb, GA 13097. Douglas, GA 13121. Fulton, GA 13135. Gwinnett, GA 13193. Macon, GA 13215. Muscogee, GA 13247. Rockdale, GA 13277. Tift, GA 17029. Coles, IL 17031. Cook, IL 17043. Du Page, IL 17097. Lake, IL 17163. St Clair, IL 18003. Allen, IN 18031. Decatur, IN 18097. Marion, IN 18139. Rush, IN 18179. Wells, IN 19049. Dallas, IA 19153. Polk, IA 19181. Warren, IA 20091. Johnson, KS 22085. Sabine, LA 24005. Baltimore, MD 24025. Harford, MD 24027. Howard, MD 24031. Montgomery, MD 24033. Prince Georges, MD 24510. Baltimore City, MD 25009. Essex, MA 25015. Hampshire, MA 25017. Middlesex, MA 25021. Norfolk, MA 25027. Worcester, MA 26081. Kent, MI 26087. Lapeer, MI 26099. Macomb, MI 26125. Oakland, MI 26139. Ottawa, MI 26145. Saginaw, MI 26151. Sanilac, MI 26157. Tuscola, MI 26163. Wayne, MI 27003. Anoka, MN 27025. Chisago, MN 27053. Hennepin, MN 27065. Kanabec, MN 27099. Mower, MN 27123. Ramsey, MN 27171. Wright, MN 29007. Audrain, MO 29019. Boone, MO 29047. Clay, MO 29085. Hickory, MO 29095. Jackson, MO 29099. Jefferson, MO 29189. St Louis, MO 29510. St Louis City, MO 31067. Gage, NE 31151. Saline, NE 33011. Hillsborough, NH 33015. Rockingham, NH 34001. Atlantic, NJ 34003. Bergen, NJ 34007. Camden, NJ 34013. Essex, NJ 34027. Morris, NJ 34035. Somerset, NJ 34039. Union, NJ 36005. Bronx, NY 36029. Erie, NY 36047. Kings, NY 36059. Nassau, NY 36061. New York, NY 36063. Niagara, NY 36081. Queens, NY 36097. Schuyler, NY 36103. Suffolk, NY 36119. Westchester, NY 37011. Avery, NC 37119. Mecklenburg, NC 37155. Robeson, NC 39013. Belmont, OH 39057. Greene, OH 39081. Jefferson, OH 39109. Miami, OH 39113. Montgomery, OH 41011. Coos, OR 41039. Lane, OR 42003. Allegheny, PA 42017. Bucks, PA 42045. Delaware, PA 42091. Montgomery, PA 41011. Coos, OR 42101. Philadelphia, PA 42129. Westmoreland, PA 46103. Pennington, SD 47001. Anderson, TN 47003. Bedford, TN 47009. Blount, TN 47037. Davidson, TN 47065. Hamilton, TN 47093. Knox, TN 48039. Brazoria, TX 48071. Chambers, TX 48091. Comal, TX 48113. Dallas, TX 48121. Denton, TX 48139. Ellis, TX 48145. Falls, TX 48189. Hale, TX 48201. Harris, TX 48209. Hays, TX 48215. Hidalgo, TX 48309. McLennan, TX 48439. Tarrant, TX 48451. Tom Green, TX 49035. Salt Lake, UT 51013. Arlington, VA 51041. Chesterfield, VA 51059. Fairfax, VA 51075. Goochland, VA 51087. Henrico, VA 51095. James City, VA 51121. Montgomery, VA 51510. Alexandria City, VA 51650. Hampton City, VA 51750. Radford City, VA 51760. Richmond City, VA 51775. Salem City, VA 51830. Williamsburg City, VA 53011. Clark, WA 53013. Columbia, WA 53033. King, WA 53053. Pierce, WA 53061. Snohomish, WA 54009. Brooke, WV 54029. Hancock, WV 54051. Marshall, WV 54069. Ohio, WV 55079. Milwaukee, WI 55089. Ozaukee, WI 55131. Washington, WI 55133. Waukesha, WI 56007. Carbon, WY ============================== VAR M940022 94PO: R MOVED 92-94 COLUMNS 2352 - 2352 NUMERIC PANEL SUMMARY 1992,1994: DID R MOVE BETWEEN 1992 AND 1994 (1994 INTERVIEW LOCATION DIFFERENT FROM 1992 LOCATION)?. ---------------------------------------------------------- Sabine Parish (Primary area 474) was redistricted after the 1992 election from LA06 to LA04. Several panel respondents who resided in this PA in 1992 had moved before the 1994 interview, but all were located in 1994 within new district LA04 and are coded 2 (non-movers are coded 4). 1. R moved OUT OF 1992 Congressional District 2. R moved WITHIN 1992 Congressional District 3. R did not move but has 2 residences and was at different residence in 1994 4. R DID NOT MOVE to different location in 1994 0. INAP, 1994 cross-section ============================== VAR M940023 94PO: REDISTRICTING AFTER 92 COLUMNS 2353 - 2353 NUMERIC PANEL SUMMARY 1994: WAS R'S 1992 Congressional District REDISTRICTED IN 1994? -------------------------------------------------------- Note: in MN05 limited redistricting took place, but the portion of MN05 containing NES Panel cases was not affected in 1994 (coded 2). Code 1 includes cases from Sabine parish LA (Primary Area 474, segments 1,4,7,8,11) 1. R's 1992 Congressional District WAS redistricted in 1994 2. R's 1992 Congressional District WAS NOT redistricted in 1994 0. INAP, 1994 cross-section ============================== VAR M940024 94PO: 92 CD ASSIGNMENT WRONG COLUMNS 2354 - 2354 NUMERIC PANEL SUMMARY 1992: WAS 1992 CD ASSIGNMENT IN ERROR? ---------------------------------------------------- Code 1 includes the following PAs and segments: 501-103, 501-148,503-129, 505-105, 511-111, 516-108 (part), 528-106, 557-104, 515-105, 481-008. Code 3 - in 1992, it was thought that this case had been assigned the wrong CD number; the CD number was changed and the substantive data for this case were made NA in 1992. However, it was discovered in 1994 that the 1992 'correction' itself was a misassignment (the original 1992 CD assignment was correct); in the 1994 data the 1994 CD is correct but no further change to the 1992 data (1992 CD number or 1992 substantive data) has been made. Note that for this case the 93 Pilot was administered according to the original (correct) 92 CD assignment. 1. Yes, 1992 CD error, discovered in 1994; CD number and substantive responses in 1992 data have not been corrected 2. Yes, 1992 CD error, discovered in 1992; CD number corrected and substantive responses were made NA in 1992 3. Yes, 1992 CD error, both 1 and 2 apply 5. No, 1992 CD assignment was not in error 0. INAP, 1994 cross-section ============================== VAR M940025 94PO: R'S 93 PIL CD IN ERROR COLUMNS 2355 - 2355 NUMERIC SUMMARY 1993: WAS THE RESPONDENT'S 1993 PILOT CONGRESSIONAL DISTRICT ASSIGNMENT IN ERROR? ------------------------------------------------------------ V25, together with V7007 (Did the R Move) accounts for differences in Congressional District assignment between 1992 and 1993. The information from these variables is incorporated in summary variables V30 and V32. 1. Yes, ERROR because R moved out of 1992 CD, (9 in V7007), but 93 Pilot not conducted according to new CD 2. Yes, ERROR due to 1992 CD misassignment (1,3 in V24) continued in 1993 Pilot 3. Yes, ERROR, both 1 and 2 apply: 1992 CD misassigned, 1992 CD used in 1993 after R had moved and changed CDs (1 case) 5. NO, Pilot CD CORRECT (includes 1 case 1 in V24 where R moved and was assigned correct new CD in 93 and includes 1 case 3 in v24, 1992 misassigned CD corrected in 1993) 9. NA, R's 1993 CD indeterminate (1 case) 0. Inap, no 1993 Pilot; 1994 Cross-Section ============================== VAR M940026 94PO: ADMINIST OF CAND LIST COLUMNS 2356 - 2356 NUMERIC ERROR IN ADMINISTRATION OF CANDIDATE LIST:1994. ----------------------------------------------- Either the interviewer used the wrong candidate list for R or the candidate list itself contained an error. See the introductory section, "Congressional District Assignment and Congressional Candidates" for further description of this problem. This variable was used to build V28 and V29. 0. There was NOT a problem in the candidate list administration. 1. ERROR:Candidate List from wrong CD used, names not correct 2. ERROR:CD assignment correct but Candidate List was in error (wrong or missing names) ============================== VAR M940027 94PO: R REGIST IN 94 CD LOCATION COLUMNS 2357 - 2357 NUMERIC SUMMARY 1994: WAS R REGISTERED TO VOTE IN CONGRESSIONAL DISTRICT OF 1994 INTERVIEW LOCATION? ------------------------------------------------------- Interview location is the location where R was residing at the time of the 1994 interview. This variable was built by comparing the county where R says they are registered with current CD assignment. In a very few cases, due to split county CDs, the information was ambiguous but almost always it was possible to determine whether the county was in the same or a different CD. 1. Yes, R registered in CD where interviewed in 1994 2. No, R not registered in CD of interview location 9. Not clear whether registration in same or different CD (DK/NA where R registered: 8,9 in v603, 99999 in v604, or CD is 99 and state is not different from state of interview in V20) 0. Inap, R not registered (5 in 602); DK/NA whether R registered or R says not required to register (6,8,9 in 602); refused to say whether voted (6 in 601) ============================== VAR M940028 94PO: CAND NAMES/CAND RUNNING COLUMNS 2358 - 2358 NUMERIC SUMMARY 1994: WERE CANDIDATE NAMES ADMINISTERED IN 1994 THE SAME AS THE CANDIDATES RUNNING IN THE DISTRICT WHERE R WAS REGISTERED/VOTED IN 1994? ------------------------------------------------------------ This variable compares the congressional candidates which the R was asked to evaluate throughout the 1994 questionnaire, with those who actually were on the ballot in the congressional district where R voted (or would have voted). V28 incorporates the information from V26 and V27, that is, was R read the correct set of candidate names, and was the R registered to vote in the congressional district in which h/she was actually interviewed. 0. Yes, administered names same as vote choice names 1. No, not same, due to error in candidate name administration (1,2 in V26) 2. No, not same, R registered in district other than the district of candidates whose names were administered (2 in V27) 3. No, not same, both 1 and 2 apply 4. No, not same, both 1 and 9 apply 9. Inap, 0,9 in V27 ============================== VAR M940029 94PO: EVAL SAME INCUMBENT 92/94 COLUMNS 2359 - 2359 NUMERIC PANEL SUMMARY 1992,1994: DID R EVALUATE THE SAME INCUMBENT CANDIDATE IN 1992 AND 1994? ----------------------------------------------------------- This variable incorporates information from V17, V22-V24 and V26. The 1994 administered candidate names were, in all cases except those of error (1,2 in V26), the names of the candidates who ran in the CD of R's residence at the time of the 1994 interview. 1. Yes, 1994 incumbent was also evaluated in 1992 2. No, because type of race for 1994 IW location did not include an incumbent (55,65,75 in V17) 3. No, because CD of 1994 interview location was different from CD of 1992 interview: R either moved to a different CD after 1992 (1 in V22) or R has 2 residences and lived at different residence in 1994 (3 in V22) 4. No, because R was redistricted after 1992: R's 1994 incumbent was not a candidate in R's 1992 CD (1 in V23, Sabine Parish LA; no cases in this category also fit into codes 2,3 or 5) 5. No, because an error was made in the 1992 or 1994 CD assignment (1,2,3 in V24 or 1,2 in V26) 6. No, both 2 and 3 7. No, both 2 and 5 8. No, both 3 and 5 9. Candidate names were consistent but wrong CD (wrong names) in both 1992 and 1994 (3 cases) 0. Inap, 1994 cross-section ============================== VAR M940030 94PO: EVAL SAME INCUMBENT 92/93 COLUMNS 2360 - 2360 NUMERIC PANEL SUMMARY 1992,1993: DID R EVALUATE THE SAME INCUMBENT CANDIDATE IN 1992 AND 1993? ----------------------------------------------------------- This variable incorporates the data from V24, V25 and V7007. Information from V30 was used to build V32. 1. Yes, same, 1993 incumbent had been evaluated in 1992 3. No, not same, because R moved and changed CD between 1992 and 1993, 1993 Pilot conducted according to new CD (1 in V7007 and administered according to new CD) 5. No, not same, both 3 and 9 apply (3 in V25) or 3 in V24 8. Same but error: names 1992 and 1993 were consistent but an error was made in 1993, R had moved and changed CD but 1993 Pilot was not conducted according to new CD (1 in V25) 9. 1992 Candidate names were for wrong CD (2 in V25). If 9 is coded the error continued in 1993 and the names were consistent and wrong in both years. (If 5 is coded the names were not consistent and were wrong in 1992 only) 0. Inap, no 1993 Pilot interview; 1993 CD indeterminate (9 in V25) ============================== VAR M940031 94PO: EVAL SAME INCUMBENT 93/94 COLUMNS 2361 - 2361 NUMERIC PANEL SUMMARY 1993,1994: DID R EVALUATE THE SAME INCUMBENT CANDIDATE IN 1993 AND 1994? ----------------------------------------------------------- This variable incorporates information from V17, V22-V26. Information from V31 was used to build V32. Note: Rs with 2 residences in V22 changed to other residence in 1993 but made no further change in residence in 1994. 1. Yes, 1993 incumbent was also evaluated in 1994 2. No, because type of race for 1994 IW location did not include an incumbent (55,65,75 in V17) 3. No, because CD of 1994 interview location was different than CD of 1993 interview: R moved to a different CD after the 1993 IW 4. No, because R was redistricted 1993-1994: R's 1994 incumbent was not in office in R's 1993 CD (1 in V23, Sabine Parish LA; no cases in this category also fit into codes 2,3 or 5) 5. No, because an error was made in the 1993 or 1994 CD assignment (1,2,3 in v25 or 1,2 in V26) 6. No, both 2 and 3 7. No, both 2 and 5 8. No, both 3 and 5 9. Candidate names were consistent but wrong CD (wrong names) in both 1993 and 1994 0. Inap, no 1993 Pilot; 1993 CD indeterminate (9 in V25) ============================== VAR M940032 94PO: EVAL SAME INCUMBENT 92/93/94 COLUMNS 2362 - 2362 NUMERIC PANEL SUMMARY 1992,1993,1994: DID R EVALUATE THE SAME CANDIDATE (INCUMBENT) IN 1992,1993,1994? ------------------------------------------------------ V32 incorporates information form V25, V29-V31 1. Same incumbent in 1992 and 1993, not same in 1994 (v30=1) 2. Same incumbent in 1993 and 1994, not same in 1992 (v31=1) 3. Same incumbent in 1992 and 1994, not same in 1993 (v29=1) 4. Same incumbent in 1992 and 1994, no 93 Pilot (v29=1) 5. Same incumbent in 1992, 1993, 1994 (v29,v30,v31=1) 7. Not same in any 2 years (includes 9 in v25) 9. Error made in 1992,1993 or 1994 (5,7,8,9 in v29 and/ or 5,8,9 in v30 and/or 5,7,8,9 in v31); 0. Inap, 1994 cross-section ============================== VAR M940033 94PO: MONTH OF INTERVIEW COLUMNS 2363 - 2364 NUMERIC MONTH OF INTERVIEW ------------------ 11. November 1994 12. December 1994 01. January 1995 99. NA ============================== VAR M940034 94PO: DAY OF INTERVIEW COLUMNS 2365 - 2366 NUMERIC DAY OF INTERVIEW ---------------- Day of interview 1-31 coded, except: 99. NA 00. INAP, not an interview ============================== VAR M940035 94PO: YEAR OF INTERVIEW COLUMNS 2367 - 2368 NUMERIC YEAR OF INTERVIEW ----------------- 1994. 1995. ============================== VAR M940036 94PO: # OF DAYS SINCE ELECTION COLUMNS 2369 - 2370 NUMERIC NUMBER OF DAYS SINCE ELECTION DAY -- Nov 8, 1994 ------------------------------------------------ This variable is based on the date of interview. It counts the number of days since the election. It ranges from 1 to 61 days ============================== VAR M940037 94PO: INTERVIEWER INTERVIEW # COLUMNS 2371 - 2372 NUMERIC INTERVIEWER'S INTERVIEW NUMBER ------------------------------ This number records the sequence in which each interviewer's interviews were completed. "01" is the first interview on the Pre-election study taken by a particular interviewer; "02" the second, and so on. The actual number (1-32) is coded. ============================== VAR M940038 94PO: LENGTH OF INTERVIEW COLUMNS 2373 - 2375 NUMERIC INTERVIEW LENGTH IN MINUTES --------------------------- The actual number of minutes (16-234) is coded. ============================== VAR M940039 94PO: LENGTH OF PRE-EDIT COLUMNS 2376 - 2378 NUMERIC PRE-EDIT LENGTH IN MINUTES -------------------------- The actual number of minutes (1-45) is coded, except: 999. NA ============================== VAR M940040 94PO: LENGTH OF POST-EDIT COLUMNS 2379 - 2381 NUMERIC POST-EDIT LENGTH, IN MINUTES ---------------------------- The actual number of minutes( 1-163) is coded, except: 999. NA ============================== VAR M940041 94PO: # OF PHONE CALLS TO HU COLUMNS 2382 - 2383 NUMERIC NUMBER OF TELEPHONE CALLS (TOTAL NUMBER OF CALLS) ------------------------------------------------- Number of calls (0-26) is coded. ============================== VAR M940042 94PO: # OF FTF CALLS TO HU COLUMNS 2384 - 2385 NUMERIC NUMBER OF FACE TO FACE CALLS (TOTAL NUMBER OF CALLS) ---------------------------------------------------- Number of calls (0-23) is coded. ============================== VAR M940043 94PO: TOTAL # OF CALLS COLUMNS 2386 - 2387 NUMERIC TOTAL NUMBER OF CALLS (Phone + FTF) ----------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the "number of calls" variable in past studies. It ranges from 1 to 47 calls ============================== VAR M940044 94PO: INTERVIEW WITHIN/OUT RANGE COLUMNS 2388 - 2388 NUMERIC WITHIN RANGE OF FIELD INTERVIEWER? ---------------------------------- The address for every Panel respondent who had moved since the 1992 Pre- election study was evaluated by the field supervisors. Addresses beyond reasonable driving distance by local interviewers were classified as out of range and transfered to the Detroit staff who conducted these interviews over the phone. 1. FIELD -- includes cross-section 2. OUT OF RANGE ============================== VAR M940045 94PO: INTERVIEW FACE TO FACE/PHONE COLUMNS 2389 - 2389 NUMERIC WAS THIS A TELEPHONE INTERVIEW? ------------------------------- 1. YES - Telephone Interview 5. NO - Not a Telephone Interview ============================== VAR M940046 94PO: ADMINISTRATION/MODE SUMMARY COLUMNS 2390 - 2390 NUMERIC ADMINISTRATION/MODE SUMMARY --------------------------- This variable summarizes the information in v44 and v45. 1. Within range -- face to face 2. Within range -- administered by phone (with permission of study staff) 3. Out of range -- administered by phone ============================== VAR M940047 94PO: LANGUAGE OF INTERVIEW COLUMNS 2391 - 2391 NUMERIC LANGUAGE OF INTERVIEW --------------------- 1. English 2. Spanish 9. NA ============================== VAR M940048 94PO: RESULT CODE COLUMNS 2392 - 2392 NUMERIC FINAL RESULT CODE ----------------- 01. INTERVIEW, complete 05. INTERVIEW, partial ============================== VAR M940049 94PO: PANEL SAME ADDRESS/MOVED COLUMNS 2393 - 2393 NUMERIC (PANEL ONLY) DOES R LIVES AT ADDRESS PRINTED ON SAMPLE LABEL? ------------------------------------------------------ The address on the label for Panel repondents reflected our knowledge of their whereabouts right before the field period. 1. YES 5. NO 9. NA 0. INAP, 1994 cross-section ============================== VAR M940050 94PO: PANEL DIFF SEX/NAME/AGE COLUMNS 2394 - 2394 NUMERIC (PANEL) I need to verify that your full name is (NAME OF RESPONDENT). I also need to verify that were born on (BIRTH MONTH AND YEAR). R NAME, BIRTH AND GENDER ARE: ----------------------------------------------------------- 1. IDENTICAL TO SAMPLE LABEL 5. NOT IDENTICAL 9. NA 0. Inap, 1994 cross-section ============================== VAR M940051 94PO: PANEL NAME DIFFERENT COLUMNS 2395 - 2395 NUMERIC (PANEL) NAME DIFFERENT MARKED ----------------------------- 1. YES 5. NO 9. NA 0. Inap, 1994 cross-section ============================== VAR M940052 94PO: PANEL SEX DIFFERENT COLUMNS 2396 - 2396 NUMERIC (PANEL) SEX DIFFERENT MARKED ---------------------------- 1. YES 5. NO 9. NA 0. Inap, 1994 cross-section ============================== VAR M940053 94PO: PANEL AGE DIFFERENT COLUMNS 2397 - 2397 NUMERIC (PANEL) DIFFERENT BIRTH DATE MARKED ----------------------------------- 1. YES 5. NO 9. NA 0. Inap, 1994 cross-section ============================== VAR M940054 94PO: CROSS # OF HU AT SAMPL ADDR COLUMNS 2398 - 2398 NUMERIC (CROSS-SECTION): NUMBER OF HOUSEHOLD UNITS AT SAMPLE LOCATION ----------------------------------------------------- 1. One HU 2. Two HUs 3. Three HUs 9. NA 0. INAP, 1994 Panel ============================== VAR M940055 94PO: HH LISTING OBTAINED FROM COLUMNS 2399 - 2399 NUMERIC (CROSS-SECTION) HOUSEHOLD LISTING OBTAINED FROM: ------------------------------------------------- For Panel respondents the data from 1992 was copied here. 1. HU MEMBER 2. NEIGHBOR 3. APARTMENT MANAGER 4. LANDLORD 5. OBSERVATION 7. OTHER 9. NA ============================== VAR M940056 94PO: SELECTION TABLE COLUMNS 2400 - 2401 NUMERIC SELECTION TABLE --------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel columns. In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the "Number" of the person who will be the respondent. There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 ============================== VAR M940057 94PO: R IS PERSON # COLUMNS 2402 - 2402 NUMERIC SELECTION TABLE: PERSON NUMBER SELECTED AS R -------------------------------------------- For panel respondents the data from 1992 was copied here. 1. R is person numbered 1 2. R is person numbered 2 3. R is person numbered 3 4. R is person numbered 4 5. R is person numbered 5 6. R is person numbered 6 9. R is person numbered 9 ============================== VAR M940058 94PO: # OF ELIGIBLE ADULTS COLUMNS 2403 - 2403 NUMERIC TOTAL NUMBER OF ELIGIBLE ADULTS IN HU: FROM HOUSEHOLD LISTING ----------------------------------------------------- For panel respondents the data from 1992 was copied here. 9. NA ============================== VAR M940059 94PO: BELT CODE COLUMNS 2404 - 2404 NUMERIC BELT CODE - 1990 - NES ---------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. Coded according to the 1990 Census and 1990 Office of Management and Budget (OMB) definitions, 1990 census population reports and 1980 (since 1990 not available) maps showing "urban areas". 1. Central Cities (*) of the six largest (**) (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus 12 (***) of the 15 next largest CMSA/MSA (population over 2,000,000). This would include all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as Self Representing (SRP) Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus three other non-self representing primary areas included within the "population over 2,000,000" definition (Miami-Fort Lauderdale, FL CMSA, Seattle-Tacoma, WA CMSA, and Phoenix, AZ MSA). 2. Central Cities of CMSAs and Metropolitan Statistical Areas (MSAs) with fewer than 2,000,000 population (exclusive of those in the twenty-one largest CMSA/MSAs--i.e., those listed above) 3. Suburbs (****) of the six largest CMSAs and 12 of the 15 next largest CMSA/MSAs. 4. Suburbs of all other CMSA/MSAs. 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within fifty miles of the central business district of a central city. 6. Outlying Area: includes all territory more than fifty miles (*) Central Cities designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, DC (Jun 1990). (**) Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas -- Racial and Hispanic Origin Populations: 1990" Pp 33. (***) Cleveland-Akron-Lorain, OH CMSA, Tampa-St Petersburg-Clearwater, FL CMSA and San Diego, CA MSA are not primary selections within the two-thirds SRC National Sample so do not occur in the 1992 NES data set. (****) Suburbs are defined as all "urbanized areas" in the Primary Area exclusive of the areas coded "1" and "2" above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: In the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which included a central city.) ============================== VAR M940060 94PO: 1990 POP IN 1000'S COLUMNS 2405 - 2408 NUMERIC ACTUAL POPULATION OF FIRST INTERVIEW LOCATION - 1990 ---------------------------------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. The actual 1990 population of the place of first interview was coded in thousands rounding to the nearest whole thousand. For Panel component, respondent may have moved since time of first interview in 1992. Actual number is coded 9999. 9,998,500 persons and over. 0000. Rural place, no defined census place, or census place with less than 500 persons. ============================== VAR M940061 94PO: SIZE OF PLACE COLUMNS 2409 - 2410 NUMERIC SIZE OF PLACE OF INTERVIEW - 1990 --------------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large cities. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. Again, it should be noted that Panel respondents may have moved from place of first interview. The six largest CMSAs plus twelve of the fifteen next largest CMSA/MSAs (i.e., those coded 1 or 3 (possibly 5, rarely 6) on the Belt Code): 11. Central Cities (these would have been coded 1 on the Belt Code). Suburbs of the six largest CMSAs and twelve of the fifteen next largest CMSA/MSAs (coded 3 (sometimes 5 and rarely 6) on Belt Code): 20. Rural (including rural places with less than 2500 population) 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 22. 10,000-29,999 23. 30,000-49,999 24. 50,000-99,999 25. 100,000-149,999 26. 150,000-349,999 27. 350,000 and over, exclusive of cities coded 11 CMSA/MSAs with less than 2,000,000 population (exclusive of those in the six largest CMSAs and 12 of 15 next largest CMSA/MSAs) Central Cities in CMSA/MSAs with less than 2,000,000 population (coded 2 on Belt Code): 30. Under 50,000 (identified by OMB in 1990 as Central Cities) 31. 50,000-99,999 32. 100,000-149,999 33. 150,000-349,999 34. 350,000 and over Suburbs in CMSA/MSAs with less than 2,000,000 population (coded 4 (or 5 and rarely 6) on Belt Code): 40. Rural (including rural places with less than 2,500 population) 41. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census Places) 42. 10,000-29,999 43. 30,000-49,999 44. 50,000-99,999 45. 100,000-149,999 46. 150,000 and over "NON-CMSA/PMSA/MSAs" Population of place, within these "non-MSA" areas, as reported in 1990 Census. 50. Rural (including places with less than 2,500 population) 51. 2,500-9,999 52. 10,000-29,999 53. 30,000-49,999 In a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown below. This occurred in El Dorado county, CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento, CA, MSA, and also for one SSU (segment) in the Gardner, MA (PSU #64) which is now a part of the Worcester, MA, MSA. ============================== VAR M940062 94PO: TRACT ED INDICATOR COLUMNS 2411 - 2411 NUMERIC 1980 CENSUS TRACT/ED FLAG ------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. 1. Was a Census Tract in 1980 when area segment was selected. 2. Was a Census Enumeration District in 1980 when area segment was selected. ============================== VAR M940063 94PO: 1994 SE STRATUM CODE COLUMNS 2412 - 2413 NUMERIC 1994 SAMPLING ERROR STRATUM CODE -------------------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and panel-only analysis. See 1994 NES sample documentation in Appendix to the codebook or contact NES project staff or ISR's Sampling Section for further details. ============================== VAR M940064 94PO: 1994 SECU CODE COLUMNS 2414 - 2414 NUMERIC 1994 SECU (SAMPLING ERROR COMPUTATION UNIT) CODE ------------------------------------------------ For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and for panel-only analysis. See 1994 NES sample documentation or contact NES project staff or ISR's Sampling Section for further details. ============================== VAR M940065 94PO: REGION 92 FOR PANEL COLUMNS 2415 - 2415 NUMERIC CENSUS REGION (1992) -------------------- This variable identifies the four major geographic regions on which the sample was stratified for the purpose of sample selection. (See Sampling Information in the Introduction.) For Panel respondents who moved since the 1992 Pre-election study, the Census Region corresponding to their original address was coded here. See V11 for Census Region of 1994 location. 1. Northeast (Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania) 2. North Central (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, Wisconsin) 3. South (Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Louisiana, Maryland, North Carolina, Tennessee, Texas, Virginia, West Virginia) 4. West (Arizona, California, Colorado, Oregon, Washington, Wyoming) ============================== VAR M940066 94PO: 1980 SMSA CODE COLUMNS 2416 - 2419 NUMERIC 1980 CENSUS SMSA CODE --------------------- For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. These SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in characteristics of areas. In the 1994 NES data, the 1980 SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for this sample, was most appropriate for all MSA or PMSA areas. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1992 NES), there are two PSUs (#464, Gardner, MA, and #482, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (segment 009 in Gardner, MA, used in both the 1994 cross-section and the 1994 panel, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worcester, MA, MSA, and all of the 1994 NES segments in El Dorado/Alpine, CA,-- i.e., cross-section segments 002, 004, 005, 007, 009 and 012 and panel segment 007 -- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) 0360. Anaheim-Santa Ana-Garden Grove, CA 0520. Atlanta, GA 0560. Atlantic City, NJ 0720. Baltimore, MD 1000. Birmingham, AL 1120. Boston, MA 1280. Buffalo, NY 1600. Chicago, IL 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4760. Manchester, NH 4880. McAllen-Pharr-Edinburgh, TX 5000. Miami, FL 5080. Milwaukee, WI 5120. Mpls-St Paul, MN-WI 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5600. New York, NY-NJ 5640. Newark, NJ 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6760. Richmond, VA 6780. Riverside-San Bernardino, Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9240. Worcester, MA (1990 MSA definition) 0000. INAP; location not in SMSA (MSA) ============================== VAR M940067 94PO: 1980 SCSA CODE COLUMNS 2420 - 2421 NUMERIC CENSUS 1990 CONSOLIDATED METROPOLITAN STATISTICAL AREA CODES ------------------------------------------------------------ For Panel respondents who moved since the 1992 Pre-election study, the data corresponding to their original sampling address was coded here. The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis: In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 07. Boston-Lawrence-Salem MA-NH 10. Buffalo-Niagara Falls NY 14. Chicago-Gary-Lake County IL-IN-WI** 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 35. Detroit-Ann Arbor MI** 42. Houston-Galveston-Brazoria TX 49. Los Angeles-Anaheim-Riverside CA** 56. Miami-Fort Lauderdale FL 63. Milwaukee-Racine WI 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 84. San Francisco-Oakland-San Jose CA** 91. Seattle-Tacoma WA 00. INAP; Location not in CMSA. This includes old code 32 (Dayton Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield are combined in a single MSA in 1990). ============================== VAR M940068 94PO: OBTAINED Rs NAME COLUMNS 2422 - 2422 NUMERIC RECONTACT: WAS R's NAME OBTAINED ("What is your full legal name as it appears on official documents such as your voter's registration, Social Security card or driver's license?") ---------------------------------------------------------- 1. Name obtained 5. Name not obtained 9. NA ============================== VAR M940069 94PO: IS RECONTACT ADDRESS SAME COLUMNS 2423 - 2423 NUMERIC RECONTACT: INTERVIEWER CHECKPOINT: Is address given by R the same as the address printed in the sample label? ------------------------------------------------------------ 1. Identical address printed on sample address 2. Same address as printed on sample label, but with minor corrections 3. Entirely different address from sample label 4. P.O. Box for sample label 9. NA ============================== VAR M940070 94PO: RECONTACT ADDRESS DIFF HOW COLUMNS 2424 - 2424 NUMERIC RECONTACT: IF ADDRESS GIVEN BY R IS DIFFERENT FROM SAMPLE LABEL: "Is this an address you will be moving to, a relative's address, the address of a friend, a business address, or what?" ---------------------------------------------------------- 1. Mailing address 2. Address to which R has moved or is moving 3. Relative 4. Friend 5. Business 7. Other 9. NA 0. INAP, address not different or NA if different from sample label (1,2,4,9 in V69) ============================== VAR M940071 94PO: OBTAINED PHONE # COLUMNS 2425 - 2425 NUMERIC RECONTACT: WAS R'S PHONE NUMBER OBTAINED? ("And what is your telephone number?)" -------------------------------------------------------- 1. Telephone number obtained 5. R has no phone 7. Phone number refused 9. NA ============================== VAR M940072 94PO: PHONE LISTED IN DIRECTORY COLUMNS 2426 - 2426 NUMERIC RECONTACT: "Is your phone number listed in the current telephone directory?" ------------------------------------------------------- 1. Yes, listed 5. No, not listed 8. Not sure, don't know 9. NA 0. INAP, R has no phone or phone number refused/NA (5,7,9 in V71) ============================== VAR M940073 94PO: PHONE LISTED IN Rs NAME COLUMNS 2427 - 2427 NUMERIC RECONTACT: "Is your phone listed in your name?" ----------------------------------------------- 1. Yes (listed in R's name) 5. No (not listed in R's name) 8. Not sure 9. NA 0. INAP, R has no phone or phone number refused/NA (5,7,9 in V71); number not listed/DK/NA if listed (5,8,9 in V72) ============================== VAR M940074 94PO: OTHER RESIDENCE COLUMNS 2428 - 2428 NUMERIC RECONTACT: "Do you have another place of residence or somewhere else you live during different times of the year?" ------------------------------------------------------------ 1. Yes (R has another residence) 5. No (no other residence) 9. NA ============================== VAR M940075 94PO: CONTACT ADDRESS GIVEN COLUMNS 2429 - 2429 NUMERIC RECONTACT: "If for any reason we should have difficulty contacting you, could you give me the name, address, and telephone number of two close friends or relatives who do not live with you and will know how to get in touch with you?" --------------------------------------------------------- 1. R gave contact information 2. R did not give contact information 9. NA ============================== VAR M940076 94PO: PROBLEM TO INTERVIEW PHONE COLUMNS 2430 - 2430 NUMERIC RECONTACT COMPLETED BY INTERVIEWER DURING POST-EDIT: Assuming we have or could obtain a telephone number for this respondent, is there any reason (e.g. hearing problem, illness) why we should not conduct an interview with this person by phone? ------------------------------------------------------------ 1. Yes (reason exists) 5. No (no reason exists) 9. NA ============================== VAR M940077 94PO: TYPE OF HU COLUMNS 2431 - 2431 NUMERIC CONTACT DESCRIPTION: DESCRIBE THE TYPE OF STRUCTURE IN WHICH THE RESPONDENT LIVES (SAMPLE ADDRESS) [completed by IWR] ---------------------------------------------------------- 1. Mobile home 2. Detached single family 3. Multi family 4. Apartment house 5. Condo complex 7. Other 9. NA ============================== VAR M940078 94PO: WAS THERE GATEKEEPER COLUMNS 2432 - 2432 NUMERIC CONTACT DESCRIPTION: IS THERE A BUILDING MANAGER, SECURITY GUARD, OR OTHER GATEKEEPER WHOSE COOPERATION YOU NEED IN ORDER TO GAIN ACCESS TO THE R'S HOUSING UNIT? [completed by IWR] ----------------------------------------------------------- 1. Yes 2. No, but the building is locked/subdivision is gated or locked 5. No 9. NA ============================== VAR M940079 94PO: GATEKEEPER DESCRIPTION COLUMNS 2433 - 2433 NUMERIC CONTACT DESCRIPTION: (IF BUILDING MANAGER/GUARD/GATEKEEPER): CHECK THE BOX WHICH BEST DESCRIBES THE SITUATION. [completed by IWR] ---------------------------------------------------- 1. Building manager or other gatekeeper must let you in the building (on the grounds, into the mobile home park) but then you are free to attempt contact with R's HU 2. Building manager/other gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 7. Other (describe situation) 9. NA 0. INAP, 5,9 in V78 ============================== VAR M940080 94PO: WHO WAS CONTACTED AT HU COLUMNS 2434 - 2434 NUMERIC PANEL SUMMARY 1992,1993,1994: WHEN RS MOVED -------------------------------------------- This summarizes knowledge about Panel respondents before the 1994 interviewing period began. Code 1 includes cases coded 3 in V22. 1. R moved before the 93 Pilot study, new address known 2. R moved between the 93 Pilot and the 94 Post, new address known 3. R moved both before and after the 93 Pilot 5. R moved before the 93 Pilot, new address unknown 6. R moved between 93 and 94 Studies, new address unknown 0. No indication of R moving before start of 1994 interviewing period; 1994 cross-section ============================== VAR M940081 94PO: INITIAL REFUSAL? COLUMNS 2435 - 2435 NUMERIC CONTACT DESCRIPTION: DID R REFUSE INITIALLY? [completed by IWR] ----------------------------------------------------------- 1. Yes 5. No 9. NA ============================== VAR M940082 94PO: BREAK APPOINTMENT COLUMNS 2436 - 2436 NUMERIC CONTACT DESCRIPTION: DID R BREAK ANY APPOINTMENT? [completed by IWR] -------------------------------------------------- 0. None 1. One 2. Two or more 9. NA ============================== VAR M940083 94PO: WAS THERE RESISTANCE COLUMNS 2437 - 2437 NUMERIC Was there resistance from this person? -------------------------------------- 1. Yes 5. No 9. NA ============================== VAR M940084 94PO: WASTE OF TIME COLUMNS 2438 - 2438 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (A) ...SURVEYS WASTE OF TIME; PREVIOUS BAD EXPERIENCE. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940085 94PO: VERY ILL COLUMNS 2439 - 2439 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (B) ... VERY ILL. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940086 94PO: TOO BUSY COLUMNS 2440 - 2440 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (C) ... 'TOO BUSY'. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940087 94PO: DIFFICULT FAMLY SITUATION COLUMNS 2441 - 2441 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (D) ... STRESSFUL FAMILY SITUATION. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940088 94PO: CONFIDENTIALITY COLUMNS 2442 - 2442 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (E) ... CONFIDENTIALITY. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940089 94PO: PRIVACY COLUMNS 2443 - 2443 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (F) ... INVASION OF PRIVACY. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940090 94PO: NO SPECIAL REASON COLUMNS 2444 - 2444 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (G) ... NOT SPECIFIED, JUST UNWILLINGNESS. [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940091 94PO: OTHER REASON COLUMNS 2445 - 2445 NUMERIC CONTACT DESCRIPTION: IF THERE WAS ANY RESISTANCE FROM THE R, WHAT REASONS WERE GIVEN: (H) ... OTHER (SPECIFY). [completed by IWR] ---------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, 5, 9 in 83 ============================== VAR M940092 94PO: REFUSAL CONVERSION INDICATOR COLUMNS 2446 - 2446 NUMERIC REFUSAL CONVERSION INDICATOR ---------------------------- This refers to interviews initially refused by the respondent. 1. Refusal conversion attempted 5. Not a refusal conversion situation. ============================== VAR M940093 94PO: PERSUASION LETTER SENT COLUMNS 2447 - 2447 NUMERIC WAS PERSUASION LETTER SENT? --------------------------- 1. A persuasion letter was sent to R 2. No persuasion letter was sent. ============================== VAR M940094 94PO: PAYMENT AMOUNT COLUMNS 2448 - 2450 NUMERIC AMOUNT OF PAYMENT FOR INTERVIEW ------------------------------- In selected cases supervisors authorized interviewers to offer payment to obtain R's cooperation. The actual dollar amount was coded here. Payments ranged from 0 to $40. 000. R was not paid 003. R was paid $3 040. R was paid $40 999. NA whether or not R was paid. ============================== VAR M940095 94PO: CHECK SENT/JAN95 COLUMNS 2451 - 2451 NUMERIC CHECK SENT -- during Jan 95. ---------------------------- In an effort to end the field period by no later than January 8 without compromising our production goal, a check for $25 and a letter were mailed to a few HU where the selected R had not refused outright to cooperate. 1. $25 check was sent 5. No check was sent ============================== VAR M940096 94PO: VERIFICATION INDICATOR COLUMNS 2452 - 2452 NUMERIC VERIFICATION INDICATOR ---------------------- 0. Not flagged for verification 1. Flagged for verification 2. Verified 3. Verified with discrepancy 4. Not verified 5. Unable to verify ============================== VAR M940097 94PO: EVALUATION INDICATOR COLUMNS 2453 - 2453 NUMERIC EVALUATION INDICATOR -------------------- 0. Interview not evaluated 1. Interview evaluated by supervisor 2. Interview evaluated by team leader ============================== VAR M940098 94PO: INTERVIEW TAPED ALPHANUMERIC COLUMNS 2454 - 2454 CHARACTER WAS INTERVIEW TAPE RECORDED --------------------------- 1. YES 5. NO 9. NA ============================== VAR M940099 94PO: FIELD SUPERVISOR ID COLUMNS 2455 - 2458 NUMERIC 1994 FIELD SUPERVISOR ID ------------------------ Supervisor's 4-digit ID is entered, 2576-9958. ============================== VAR M940100 94PO: INTERVIEWER OF RECORD ID COLUMNS 2459 - 2462 NUMERIC INTERVIEWER ID -- interviewer of record --------------------------------------- Interviewer's 4-digit ID is entered, 1020-9666. ============================== VAR M940101 94PO: INTERVIEWER GENDER COLUMNS 2463 - 2463 NUMERIC INTERVIEWER'S GENDER -------------------- 1. Male 2. Female ============================== VAR M940102 94PO: INTERVIEWER EDUCATION COLUMNS 2464 - 2464 NUMERIC INTERVIEWER'S EDUCATION ----------------------- 1. 1-8 years 2. Some High School 3. High School graduate 4. Some College 5. College graduate 6. Master's degree 7. PhD degree ============================== VAR M940103 94PO: INTERVIEWER RACE COLUMNS 2465 - 2465 NUMERIC INTERVIEWER'S RACE ------------------ 1. White 2. Black 3. Native American 4. Asian 7. Other 9. NA ============================== VAR M940104 94PO: INTERVIEWER ETHNICITY COLUMNS 2466 - 2466 NUMERIC INTERVIEWER'S ETHNICITY ----------------------- 0. No ethnic identity coded 1. Hispanic 7. Other ============================== VAR M940105 94PO: INTERVIEWER LANGUAGES COLUMNS 2467 - 2467 NUMERIC LANGUAGES SPOKEN BY INTERVIEWER ------------------------------- 0. English 1. Spanish 7. Other ============================== VAR M940106 94PO: INTERVIEWER YRS EXPER BRACK COLUMNS 2468 - 2469 NUMERIC INTERVIEWER'S YEARS OF EXPERIENCE -- up to November 1, 1994 ----------------------------------------------------------- 00. Less than one year . 28. Years ============================== VAR M940107 94PO: INTERVIEWER AGE BRACKETTED COLUMNS 2470 - 2470 NUMERIC INTERVIEWER'S AGE BRACKETED --------------------------- 1. 18-34 years 2. 35-40 3. 41-45 4. 46-50 5. 51-55 6. 56-60 7. 61-64 8. 65-79 ============================== VAR M940124 94PO: INTERS POLIT (A1.) COLUMNS 2471 - 2471 NUMERIC Q.A1. In this interview I will be talking with you about the recent elections, as well as a number of other things. First, I have some questions about the political campaigns which took place this election year. Some people don't pay much attention to political campaigns. How about you? Would you say that you were very much interested, somewhat interested, or not much interested in following the political campaigns this year? ------------------------------------------------------------ 1. VERY MUCH INTERESTED 3. SOMEWHAT INTERESTED 5. NOT MUCH INTERESTED 8. DK 9. NA ============================== VAR M940125 94PO: READ PAPER (A2.) COLUMNS 2472 - 2472 NUMERIC Q.A2. How many days in the past week did you read a daily newspaper? ------------------------------------------------------------ Code actual number of DAYS (1-7), except: 0. NONE 7. EVERY DAY; seven days 8. DON'T KNOW 9. NA ============================== VAR M940126 94PO: WATCH NEWS (A3.) COLUMNS 2473 - 2473 NUMERIC Q.A3. How many days in the past week did you watch the news on TV? --------------------------------------------------------- Code actual number of DAYS (1-7), except: 0. NONE 7. EVERY DAY; seven days 8. DON'T KNOW 9. NA ============================== VAR M940127 94PO: LISTEN RADIO (A4.) COLUMNS 2474 - 2474 NUMERIC Q.A4. How many days in the past week did you listen to the news on radio? --------------------------------------------------------- Code actual number of DAYS (1-7), except: 0. NONE 7. EVERY DAY; seven days 8. DON'T KNOW 9. NA ============================== VAR M940128 94PO: DISCUSS POLIT (A5.) COLUMNS 2475 - 2475 NUMERIC Q.A5. Do you ever discuss politics with your family or friends? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M940129 94PO: TALK OFTEN (A5A.) COLUMNS 2476 - 2476 NUMERIC Q.A5a. (RB, P. 1), (Please look at P.1 of the gold booklet). How often do you discuss politics with your family or friends? Every day, 3 or 4 times a week, once or twice a week, or less often than that? ------------------------------------------------------------ 1. EVERY DAY 2. 3 OR 4 TIMES A WEEK 3. ONCE OR TWICE A WEEK 4. LESS OFTEN 5. R VOLUNTEERS: NEVER 8. DK 9. NA 0. Inap, 5, 8-9 in Q.A5 ============================== VAR M940130 94PO: TALK #DAYS (A5B.) COLUMNS 2477 - 2477 NUMERIC Q.A5b. (Not using the booklet) How many days in the past week did you talk about politics with family or friends? ---------------------------------------------------------- Code NUMBER OF DAYS (1-7) 0. NONE 8. DON'T KNOW 9. NA; Inap, 5, 8-9 in QA5; 5 or 9 in Q.A5a ============================== VAR M940131 94PO: LIKE DEM PTY? (B1.) COLUMNS 2478 - 2478 NUMERIC Q.B1. I'd like to ask you what you think are the good and bad points about the two national parties. Is there anything in particular that you like about the Democratic Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M940132 94PO: LIKE DEM PTY #1 (B1A.) COLUMNS 2479 - 2482 NUMERIC Q.B1a. [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR M940133 94PO: LIKE DEM PTY #2 (B1A.) COLUMNS 2483 - 2486 NUMERIC Q.B1a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR M940134 94PO: LIKE DEM PTY #3 (B1A.) COLUMNS 2487 - 2490 NUMERIC Q.B1a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR M940135 94PO: LIKE DEM PTY #4 (B1A.) COLUMNS 2491 - 2494 NUMERIC Q.B1a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B1; no further mention ============================== VAR M940136 94PO: LIKE DEM PTY #5 (B1A.) COLUMNS 2495 - 2498 NUMERIC Q.B1a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap 5, 8-9 in Q.B1; no further mention ============================== VAR M940137 94PO: DISLK DEM PTY? (B2.) COLUMNS 2499 - 2499 NUMERIC Q.B2. Is there anything in particular that you don't like about the Democratic Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M940138 94PO: DISLK DEM PTY #1 (B2A.) COLUMNS 2500 - 2503 NUMERIC Q.B2a. [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR M940139 94PO: DISLK DEM PTY #2 (B2A.) COLUMNS 2504 - 2507 NUMERIC Q.B2a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR M940140 94PO: DISLK DEM PTY #3 (B2A.) COLUMNS 2508 - 2511 NUMERIC Q.B2a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR M940141 94PO: DISLK DEM PTY #4 (B2A.) COLUMNS 2512 - 2515 NUMERIC Q.B2a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR M940142 94PO: DISLK DEM PTY #5 (B2A.) COLUMNS 2516 - 2519 NUMERIC Q.B2a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Democratic Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B2; no further mention ============================== VAR M940143 94PO: LIKE REPUB PTY? (B3.) COLUMNS 2520 - 2520 NUMERIC Q.B3. Is there anything in particular that you like about the Republican Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M940144 94PO: LIKE REPUB PTY #1 (B3A.) COLUMNS 2521 - 2524 NUMERIC Q.B3a. [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR M940145 94PO: LIKE REPUB PTY #2 (B3A.) COLUMNS 2525 - 2528 NUMERIC Q.B3a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR M940146 94PO: LIKE REPUB PTY #3 (B3A.) COLUMNS 2529 - 2532 NUMERIC Q.B3a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR M940147 94PO: LIKE REPUB PTY #4 (B3A.) COLUMNS 2533 - 2536 NUMERIC Q.B3a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR M940148 94PO: LIKE REPUB PTY #5 (B3A.) COLUMNS 2537 - 2540 NUMERIC Q.B3a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B3; no further mention ============================== VAR M940149 94PO: DISLK REPUB PTY? (B4.) COLUMNS 2541 - 2541 NUMERIC Q.B4. Is there anything in particular that you don't like about the Republican Party? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M940150 94PO: DISLK REPUB PTY #1 (B4A.) COLUMNS 2542 - 2545 NUMERIC Q.B4a. [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR M940151 94PO: DISLK REPUB PTY #2 (B4A.) COLUMNS 2546 - 2549 NUMERIC Q.B4a(2). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR M940152 94PO: DISLK REPUB PTY #3 (B4A.) COLUMNS 2550 - 2553 NUMERIC Q.B4a(3). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR M940153 94PO: DISLK REPUB PTY #4 (B4A.) COLUMNS 2554 - 2557 NUMERIC Q.B4a(4). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR M940154 94PO: DISLK REPUB PTY #5 (B4A.) COLUMNS 2558 - 2561 NUMERIC Q.B4a(5). [IF NECESSARY: What is that? ] (PROBE: Anything else you don't like about the Republican Party? UNTIL R SAYS "NO.") ---------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 0000. Inap, 5, 8-9 in Q.B4; no further mention ============================== VAR M940201 94PO: APP/DIS CLINTON (B5.) COLUMNS 2562 - 2562 NUMERIC Q.B5. Do you approve or disapprove of the way Bill Clinton is handling his job as president? ----------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA ============================== VAR M940202 94PO: APP/DIS CLINTON SCALE (B5A/B5B.) COLUMNS 2563 - 2563 NUMERIC Q.B5a. Do you approve strongly or not strongly? Q.B5b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 8-9 in Q.B5 ============================== VAR M940203 94PO: APP/DIS CLINTON ECON (B6.) COLUMNS 2564 - 2564 NUMERIC Q.B6. Do you approve or disapprove of the way Bill Clinton is handling the economy? ----------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA ============================== VAR M940204 94PO: CLINTON A/D ECON SCALE (B6A/B6B.) COLUMNS 2565 - 2565 NUMERIC Q.B6a. Do you approve strongly or not strongly? Q.B6b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 8-9 in Q.B6 ============================== VAR M940205 94PO: APP/DIS CLINTON FORGN POL (B7.) COLUMNS 2566 - 2566 NUMERIC Q.B7. Do you approve or disapprove of the way Bill Clinton is handling our relations with foreign countries? --------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA ============================== VAR M940206 94PO: CLINTON A/D FORGN SCALE (B7A/B7B.) COLUMNS 2567 - 2567 NUMERIC Q.B7a. Do you approve strongly or not strongly? Q.B7b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 8-9 in Q.B7 ============================== VAR M940207 94PO: APP/DIS CLINTON HLTH CARE (B8.) COLUMNS 2568 - 2568 NUMERIC Q.B8. Do you approve or disapprove of the way Bill Clinton is handling health care reform? ----------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA ============================== VAR M940208 94PO: CLINTON A/D HLTH SCALE (B8A/B8B.) COLUMNS 2569 - 2569 NUMERIC Q.B8a. Do you approve strongly or not strongly? Q.B8b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 8-9 in Q.B8 ============================== VAR M940209 94PO: CARE HOUSE RACE OUTCOME (B9.) COLUMNS 2570 - 2570 NUMERIC Q.B9. As you know, representatives to Congress in Washington were chosen in this election from congressional districts all around the country. How much would you say that you personally cared about the way the election to the U.S. House of Representatives came out: did you care very much, pretty much, not very much, or not at all? ----------------------------------------------------------- 1. VERY MUCH 2. PRETTY MUCH 4. NOT VERY MUCH 5. NOT AT ALL 8. DK 9. NA ============================== VAR M940210 94PO: HSE RECALL? (B10.) COLUMNS 2571 - 2571 NUMERIC Q.B10. Do you happen to remember the names of the candidates for Congress--that is, for the House of Representatives in Washington--who ran in this district this November? ------------------------------------------------------------ 1. YES 5. NO 9. NA ============================== VAR M940211 94PO: #1 RECALL HOUSE - CODE (B10A.) COLUMNS 2572 - 2573 NUMERIC Q.B10a(1). Who were they? <1st mention> (PROBE: Any others?) ---------------------------------------------------- Precoded by interviewer If a senator, senatorial candidate, or gubernatorial candidate was mentioned at Q.B10a, the senator or senatorial candidate (#11-19, 27-29) or gubernatorial candidate (#51-56) was coded. Built variables Q.B10aa (code 7) and Q.B10x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." Senatorial Candidates or Senators Mentioned: 10. INDEPENDENT OR MINOR PARTY SENATE CANDIDATE 11. DEMOCRATIC CANDIDATE TO SENATE 12. REPUBLICAN CANDIDATE TO SENATE 13. DEMOCRATIC INCUMBENT TO SENATE 14. REPUBLICAN INCUMBENT TO SENATE 15. DEMOCRATIC CHALLENGER TO SENATE 16. REPUBLICAN CHALLENGER TO SENATE 17. DEMOCRATIC SENATOR 1 [NO RACE] 18. REPUBLICAN SENATOR 1 [NO RACE] 19. DEMOCRATIC SENATOR NOT UP 29. REPUBLICAN SENATOR NOT UP 27. DEMOCRATIC SENATOR 2 [NO RACE] 28. REPUBLICAN SENATOR 2 [NO RACE] For Districts with No Running Incumbents: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 31. DEMOCRATIC CANDIDATE 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT For Districts with Running Incumbent Representative: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 33. DEMOCRATIC INCUMBENT 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 50. MINOR PARTY OR INDEPENDENT GUBERNATORIAL CANDIDATE 51. DEMOCRATIC CANDIDATE IN OPEN RACE 52. REPUBLICAN CANDIDATE IN OPEN RACE 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION 55. DEMOCRATIC CHALLENGER 56. REPUBLICAN CHALLENGER 57. DEMOCRATIC INCUMBENT NOT UP 58. REPUBLICAN INCUMBENT NOT UP 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940212 94PO: #1 RECALL HOUSE - PTY (B10B.) COLUMNS 2574 - 2574 NUMERIC Q.B10b(1). (ASK FOR EACH NAME IN B10a) What was (NAME's) party? --------------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, 5 or 9 in Q.B10; no further mention ============================== VAR M940213 94PO: #1 RECALL HOUSE - SUMM (B10AA.) COLUMNS 2575 - 2575 NUMERIC Q.B10aa(1). Who were they? <1st mention> ----------------------------------------- Built from Q.B10a(1) 1. DEMOCRATIC CANDIDATE (31, 33, 35) 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 27-29, 41-42, 51-58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. NA (99) 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940214 94PO: #1 RECALL HOUSE - ACCURACY (B10X.) COLUMNS 2576 - 2576 NUMERIC Q.B10x(1). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's district ----------------------------------------------------------- Built from Q.B10a(1) & Q.B10b(1) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940215 94PO: #2 RECALL HOUSE - CODE (B10A.) COLUMNS 2577 - 2578 NUMERIC Q.B10a(2). Who were they? <2nd mention> (PROBE: Any others?) ---------------------------------------------------- Precoded by interviewer If a senator, senatorial candidate, or gubernatorial candidate was mentioned at Q.B10a, the Senator or senatorial candidate (#11-16,19, 27-29) or gubernatorial candidate (#51-56) was coded. Built variables Q.B10aa (code 7) and Q.B10x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." Senatorial Candidates or Senators Mentioned: 10. INDEPENDENT OR MINOR PARTY CANDIDATE TO SENATE 11. DEMOCRATIC CANDIDATE TO SENATE 12. REPUBLICAN CANDIDATE TO SENATE 13. DEMOCRATIC INCUMBENT TO SENATE 14. REPUBLICAN INCUMBENT TO SENATE 15. DEMOCRATIC CHALLENGER TO SENATE 16. REPUBLICAN CHALLENGER TO SENATE 17. DEMOCRATIC SENATOR 1 [NO RACE] 18. REPUBLICAN SENATOR 1 [NO RACE] 19. DEMOCRATIC SENATOR NOT UP 29. REPUBLICAN SENATOR NOT UP 27. DEMOCRATIC SENATOR 2 [NO RACE] 28. REPUBLICAN SENATOR 2 [NO RACE] For Districts with No Running Incumbents: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 31. DEMOCRATIC CANDIDATE 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT For Districts with Running Incumbent Representative: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 33. DEMOCRATIC INCUMBENT 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 50. MINOR PARTY OR INDEPENDENT GUBERNATORIAL CANDIDATE 51. DEMOCRATIC CANDIDATE IN OPEN RACE 52. REPUBLICAN CANDIDATE IN OPEN RACE 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION 55. DEMOCRATIC CHALLENGER 56. REPUBLICAN CHALLENGER 57. DEMOCRATIC INCUMBENT NOT UP 58. REPUBLICAN INCUMBENT NOT UP 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940216 94PO: #2 RECALL HOUSE - PTY (B10B.) COLUMNS 2579 - 2579 NUMERIC Q.B10b(2). (ASK FOR EACH NAME IN B10a) What was (NAME's) party? --------------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, 5 or 9 in Q.B10; no further mention ============================== VAR M940217 94PO: #2 RECALL HOUSE - SUMM (B10AA.) COLUMNS 2580 - 2580 NUMERIC Q.B10aa(2). Who were they? <2nd mention> ---------------------------------------- Built from Q.B10a(2) 1. DEMOCRATIC CANDIDATE (31, 33, 35) 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 27-29, 41-42, 51-58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. NA (99) 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940218 94PO: #2 RECALL HOUSE - ACCURACY (B10X.) COLUMNS 2581 - 2581 NUMERIC Q.B10x(2). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's district ----------------------------------------------------------- Built from Q.B10a(2) & Q.B10b(2) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940219 94PO: #3 RECALL HOUSE - CODE (B10A.) COLUMNS 2582 - 2583 NUMERIC Q.B10a(3). Who were they? <3rd mention> (PROBE: Any others?) ---------------------------------------------------- If a senator, senatorial candidate or gubernatorial candidate was mentioned at Q.B10a, the senator or senatorial candidate (#11-19, 27-29) or gubernatorial candidate (#51-56) was coded. Built variables Q.B10aa (code 7) and Q.B10x (codes 4,5) assigned these cases to "name given not on candidate list for that race,"or "invalid candidate name given." Senatorial Candidates or Senators Mentioned: 10. INDEPENDENT OR MINORITY PARTY CHALLENGER TO SENATE 11. DEMOCRATIC CANDIDATE TO SENATE 12. REPUBLICAN CANDIDATE TO SENATE 13. DEMOCRATIC INCUMBENT TO SENATE 14. REPUBLICAN INCUMBENT TO SENATE 15. DEMOCRATIC CHALLENGER TO SENATE 16. REPUBLICAN CHALLENGER TO SENATE 17. DEMOCRATIC SENATOR 1 [NO RACE] 18. REPUBLICAN SENATOR 1 [NO RACE] 19. DEMOCRATIC SENATOR NOT UP 29. REPUBLICAN SENATOR NOT UP 27. DEMOCRATIC SENATOR 2 [NO RACE] 28. REPUBLICAN SENATOR 2 [NO RACE] For Districts with No Running Incumbents: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 31. DEMOCRATIC CANDIDATE 32. REPUBLICAN CANDIDATE 41. "RETIRING" DEMOCRATIC HOUSE INCUMBENT 42. "RETIRING" REPUBLICAN HOUSE INCUMBENT For Districts with Running Incumbent Representative: 30. THIRD PARTY OR INDEPENDENT HOUSE CANDIDATE 33. DEMOCRATIC INCUMBENT 34. REPUBLICAN INCUMBENT 35. DEMOCRATIC CHALLENGER 36. REPUBLICAN CHALLENGER Gubernatorial Candidates Mentioned: 50. MINOR PARTY OR INDEPENDENT GUBERNATORIAL CANDIDATE 51. DEMOCRATIC CANDIDATE IN OPEN RACE 52. REPUBLICAN CANDIDATE IN OPEN RACE 53. DEMOCRATIC INCUMBENT RUNNING FOR RE-ELECTION 54. REPUBLICAN INCUMBENT RUNNING FOR RE-ELECTION 55. DEMOCRATIC CHALLENGER 56. REPUBLICAN CHALLENGER 57. DEMOCRATIC INCUMBENT NOT UP 58. REPUBLICAN INCUMBENT NOT UP 97. NAME GIVEN NOT ON CANDIDATE LIST FOR THIS RACE 98. DK 99. NA 00. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940220 94PO: #3 RECALL HOUSE - PTY (B10B.) COLUMNS 2584 - 2584 NUMERIC Q.B10b(3). (ASK FOR EACH NAME IN B10a) What was (NAME's) party? --------------------------------------------------------- 1. DEMOCRATIC 5. REPUBLICAN 7. OTHER PARTY; SPECIFY 8. DK 9. NA 0. Inap, 5 or 9 in Q.B10; no further mention ============================== VAR M940221 94PO: #3 RECALL HOUSE - SUMM (B10AA.) COLUMNS 2585 - 2585 NUMERIC Q.B10aa(3). Who were they? <3rd mention> ---------------------------------------- Built from Q.B10a(3) 1. DEMOCRATIC CANDIDATE (31, 33, 35) 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 7. NAME GIVEN NOT ON CANDIDATE LIST FOR THAT RACE (11-19, 27-29, 41-42, 51-58, 97) 8. DON'T KNOW NAME BUT KNOW PARTY (98) 9. NA (99) 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940222 94PO: #3 RECALL HOUSE - ACCURACY (B10X.) COLUMNS 2586 - 2586 NUMERIC Q.B10x(3). Respondent's knowledge of the names and parties of candidates running in the Congressional race for R's district ----------------------------------------------------------- Built from Q.B10a(3) & Q.B10b(3) 1. VALID CANDIDATE NAME GIVEN AND CORRECT PARTY ASSOCIATED WITH NAME 2. VALID CANDIDATE NAME GIVEN, BUT INCORRECT PARTY ASSOCIATED WITH NAME 3. VALID CANDIDATE NAME GIVEN, DK OR NA FOR PARTY ASSOCIATED WITH NAME 4. INVALID CANDIDATE NAME GIVEN WITH ANY MENTION OF PARTY ASSOCIATED WITH NAME 5. INVALID CANDIDATE NAME GIVEN WITH DK OR NA FOR PARTY ASSOCIATED WITH NAME 6. NO CANDIDATE NAME GIVEN (DK OR NA) -- ANY PARTY MENTION 7. NO CANDIDATE NAME GIVEN (DK) -- DK OR NA FOR PARTY MENTION; NO CANDIDATE NAME (NA) -- DK FOR PARTY MENTION 9. NA FOR CANDIDATE NAME AND NA FOR PARTY MENTION 0. INAP, 5 or 9 in Q.B10; no further mention ============================== VAR M940223 94PO: FEEL THERM-CLINTON (B11A.) COLUMNS 2587 - 2589 NUMERIC Q.B11. (RB, P. 2) I'd like to get your feelings toward some of our political leaders and other people who have been in the news. I'll read the name of a person and I'd like you to rate that person using something called the feeling thermometer. You can choose any number between 0 and 100. The higher the number, the warmer or more favorable you feel toward that person; the lower the number, the colder or less favorable. You would rate the person at the 50 degree mark if you feel neither warm nor cold toward them. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. Our first person is Bill Clinton. Using the thermometer, how would you rate Bill Clinton? PROBE FOR "I DON'T KNOW" RESPONSE: When you say "don't know" do you mean that you don't know who the person is, or do you have something else in mind? Q.B11a. BILL CLINTON ------------------------------------------------------------ CODE actual NUMBER (000-100), except: 997. R DOESN"T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940224 94PO: FEEL THERM-PEROT (B11B.) COLUMNS 2590 - 2592 NUMERIC Q.B11b. Ross Perot ----------------------------------------- CODE actual NUMBER (000-100), except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940225 94PO: FEEL THERM-DOLE (B11C.) COLUMNS 2593 - 2595 NUMERIC Q.B11c. Robert Dole ------------------------------------------ CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940226 94PO: FEEL THERM-QUAYLE (B11D.) COLUMNS 2596 - 2598 NUMERIC Q.B11d. Dan Quayle ----------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940227 94PO: FEEL THERM-GORE (B11E.) COLUMNS 2599 - 2601 NUMERIC Q.B11e. Al Gore -------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940228 94PO: FEEL THERM-JACKSON (B11F.) COLUMNS 2602 - 2604 NUMERIC Q.B11f. Jesse Jackson -------------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940229 94PO: FEEL THERM-HILLARY (B11G.) COLUMNS 2605 - 2607 NUMERIC Q.B13g. Hillary Clinton ---------------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940230 94PO: FEEL THERM-C POWELL (B11H.) COLUMNS 2608 - 2610 NUMERIC Q.B11h. Colin Powell ------------------------------------------- CODES 000-100, except: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940231 94PO: FEEL THERM-SEN DEM (B11K.) COLUMNS 2611 - 2613 NUMERIC Q.B11k. (NAME # 11, 13 or 15) DEMOCRATIC U.S. SENATE CANDIDATE ----------------------------------------------------- CODES 000-100, except: 888. INAP, 81, 82, 85 in V18 - No Senate race in state 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940232 94PO: FEEL THERM-SEN REP (B11M.) COLUMNS 2614 - 2616 NUMERIC Q.B11m. (NAME # 12, 14 or 16) REPUBLICAN U.S. SENATE CANDIDATE ----------------------------------------------------- CODES 000-100, except: 888. INAP, 81, 82, 85 in V18 - No Senate race in state 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940233 94PO: FEEL THERM-TN SEN CAND DEM (B11N.) COLUMNS 2617 - 2619 NUMERIC Q.B11n. (NAME # 11a, 13a or 15a--TENNESSEE ONLY) ---------------------------------------------------------- CODES 000-100, except: 888. INAP, 01-53, 55-82, 99 in V13; 81-82, 85 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940234 94PO: FEEL THERM-TN SEN CAND REP (B11P.) COLUMNS 2620 - 2622 NUMERIC Q.B11p. (NAME # 12a, 14a or 16a--TENNESSEE ONLY) ---------------------------------------------------------- CODES 000-100, except: 888. INAP, 01-53, 55-82, 99 in V13; 81-82, 85 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940235 94PO: FEEL THERM-SEN TNU (B11Q.) COLUMNS 2623 - 2625 NUMERIC Q.B11q. (NAME # 19 or 29) SENATE INCUMBENT WHOSE TERM IS NOT UP--RACE IN STATE --------------------------------------------------------- CODES 000-100, except: 888. INAP, 81, 82, 85-95 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940236 94PO: FEEL THERM-SEN 1 NO RACE (B11R.) COLUMNS 2626 - 2628 NUMERIC Q.B11r. FIRST U.S. SENATOR--NO RACE IN STATE ------------------------------------------------------ CODES 000-100, except: 888. INAP, 12, 19, 21, 55, 65, 95 in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940237 94PO: FEEL THERM-SEN 2 NO RACE (B11S.) COLUMNS 2629 - 2631 NUMERIC Q.B11s. SECOND U.S. SENATOR--NO RACE IN STATE ------------------------------------------------------- CODES 000-100, except: 888. INAP, 12, 19, 21, 55, 65, 95, in V18 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940238 94PO: FEEL THERM-HSE DEM (B11T.) COLUMNS 2632 - 2634 NUMERIC Q.B11t. (NAME # 31, 33 or 35) DEMOCRATIC U.S. HOUSE CANDIDATE ---------------------------------------------------- CODES 000-100, except: NOTE: Rating for the independent candidate running in VA10 was coded here. Type of House Race (V17) can be used to exclude these cases. 888. INAP, 24 in V17 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940239 94PO: FEEL THERM-HSE REP (B11U.) COLUMNS 2635 - 2637 NUMERIC Q.B11u. (NAME # 32, 34 or 36) REPUBLICAN U.S. HOUSE CANDIDATE ---------------------------------------------------- CODES 000-100, except: 888. INAP, 14 in V17 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940301 94PO: FEEL THERM-DEM PTY (B12A.) COLUMNS 2638 - 2640 NUMERIC Q.B12. (RB, STILL ON P. 2) And still using the thermometer, how would you rate the following: Q.B12a. The Democratic Party ------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940302 94PO: FEEL THERM-REP PTY (B12B.) COLUMNS 2641 - 2643 NUMERIC Q.B12b. The Republican Party --------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940303 94PO: FEEL THERM-POL PART IN GEN (B12C.) COLUMNS 2644 - 2646 NUMERIC Q.B12c. Political parties in general ----------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940304 94PO: FEEL THERM-HISPANICS (B12D.) COLUMNS 2647 - 2649 NUMERIC Q.B12d. Hispanics or Latinos --------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940305 94PO: FEEL THERM-BLACKS (B12E.) COLUMNS 2650 - 2652 NUMERIC Q.B12e. Blacks ------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940306 94PO: FEEL THERM-CONSERVATIVES (B12F.) COLUMNS 2653 - 2655 NUMERIC Q.B12f. Conservatives -------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940307 94PO: FEEL THERM-LABOR UNIONS (B12G.) COLUMNS 2656 - 2658 NUMERIC Q.B12g. Labor unions ------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940308 94PO: FEEL THERM-WOMENS MVMENT (B12H.) COLUMNS 2659 - 2661 NUMERIC Q.B12h. The Women's Movement --------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940309 94PO: FEEL THERM-PEOPLE ON WELF (B12J.) COLUMNS 2662 - 2664 NUMERIC Q.B12j. People on welfare ------------------------------------------------ CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940310 94PO: FEEL THERM-ENVRNMENTLSTS (B12K.) COLUMNS 2665 - 2667 NUMERIC Q.B12k. People seeking to protect the environment ----------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940311 94PO: FEEL THERM-LIBERALS (B12M.) COLUMNS 2668 - 2670 NUMERIC Q.B12m. Liberals --------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940312 94PO: FEEL THERM-POOR PEOPLE (B12N.) COLUMNS 2671 - 2673 NUMERIC Q.B12n. Poor people ------------------------------------------ CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940313 94PO: FEEL THERM-WHITES (B12O.) COLUMNS 2674 - 2676 NUMERIC Q.B12o. Whites ------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940314 94PO: FEEL THERM-BIG BUSINESS (B12P.) COLUMNS 2677 - 2679 NUMERIC Q.B12p. Big Business ------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940315 94PO: FEEL THERM-CHRST FUNDMLSTS (B12Q.) COLUMNS 2680 - 2682 NUMERIC Q.B12q. Christian Fundamentalists -------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940316 94PO: FEEL THERM-ELDERLY (B12R.) COLUMNS 2683 - 2685 NUMERIC Q.B12r. The elderly ------------------------------------------ CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940317 94PO: FEEL THERM-ILLEGAL IMMMGS (B12S.) COLUMNS 2686 - 2688 NUMERIC Q.B12s. Illegal immigrants ------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940318 94PO: FEEL THERM-GAYS, LESBIANS (B12T.) COLUMNS 2689 - 2691 NUMERIC Q.B12t. Gay men & lesbians (i.e., homosexuals) -------------------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940319 94PO: FEEL THERM-WEALTHY PEOPLE (B12U.) COLUMNS 2692 - 2694 NUMERIC Q.B12u. Wealthy people --------------------------------------------- CODES 000-100, except: 998. DK WHERE TO RATE; CAN'T JUDGE 999. NA ============================== VAR M940320 94PO: APP/DIS CONG (B13.) COLUMNS 2695 - 2695 NUMERIC Q.B13. Do you approve or disapprove of the way the U.S. Congress has been handling its job? --------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA ============================== VAR M940321 94PO: APP/DIS CONG SCALE (B13A/B13B.) COLUMNS 2696 - 2696 NUMERIC Q.B13a. Do you approve strongly or not strongly? Q.B13b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 8-9 in Q.B13 ============================== VAR M940322 94PO: APP/DIS CONGR HLTH CARE (B14.) COLUMNS 2697 - 2697 NUMERIC Q.B14. Do you approve or disapprove of the way that the Congress is handling health care reform? --------------------------------------------------------- 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA ============================== VAR M940323 94PO: A/D CONGR HLTH SCALE (B14A/B14B.) COLUMNS 2698 - 2698 NUMERIC Q.B14a. Do you approve strongly or not strongly? Q.B14b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 8-9 in Q.B14 ============================== VAR M940324 94PO: VOTED IN 1992? (B15.) COLUMNS 2699 - 2699 NUMERIC Q.B15. In 1992 George Bush ran on the Republican ticket against the independent Ross Perot, and against Bill Clinton for the Democrats. Do you remember for sure whether or not you voted in that election? ------------------------------------------------------------ 1. YES, DID VOTE 5. NO, DIDN'T VOTE 8. DON'T KNOW 9. NA ============================== VAR M940325 94PO: PRES VOTE 1992 (B15A.) COLUMNS 2700 - 2700 NUMERIC Q.B15a. Which one did you vote for? ------------------------------------ 1. BUSH 2. CLINTON 3. PEROT 5. OTHER 8. DON'T KNOW 9. NA 0. Inap, 5, 8-9 in Q.B15 ============================== VAR M940401 94PO: LIKE DEM CAND? (C1.) COLUMNS 2701 - 2701 NUMERIC Next I would like to ask you some questions about the candidate(s) who ran in this district for the U.S. House of Representatives. Q.C1. Was there anything in particular that you liked about (NAME # 31, 33, or 35), the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------- NOTE: the independent candidate running in VA10 was treated as a Democratic candidate for this series. 1. YES 5. NO 7. R VOLUNTEERS: "I DON'T KNOW ANYTHING ABOUT THIS PERSON" 8. DK 9. NA 0. Inap, 24 in V17 (No Democratic U.S. House candidate) ============================== VAR M940402 94PO: LIKE #1 DEM CAND (C1A.) COLUMNS 2702 - 2705 NUMERIC Q.C1a(1). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <1st mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR M940403 94PO: LIKE #2 DEM CAND (C1A.) COLUMNS 2706 - 2709 NUMERIC Q.C1a(2). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <2nd mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR M940404 94PO: LIKE #3 DEM CAND (C1A.) COLUMNS 2710 - 2713 NUMERIC Q.C1a(3). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <3rd mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR M940405 94PO: LIKE #4 DEM CAND (C1A.) COLUMNS 2714 - 2717 NUMERIC Q.C1a(4). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <4th mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR M940406 94PO: LIKE #5 DEM CAND (C1A.) COLUMNS 2718 - 2721 NUMERIC Q.C1a(5). [IF NECESSARY: What was that?] (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") <5th mention> ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S.House candidate); 5, 7-9 in Q.C1; 9998-9999 in Q.C1a(1); no further mention ============================== VAR M940407 94PO: DISLIK DEM CAND? (C2.) COLUMNS 2722 - 2722 NUMERIC Q.C2. Was there anything in particular that you didn't like about (NAME # 31, 33, or 35)? --------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1 ============================== VAR M940408 94PO: DISLK #1 DEM CAND (C2A.) COLUMNS 2723 - 2726 NUMERIC Q.C2a(1). [IF NECESSARY: What was that?] <1st mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK (0 in Q.C2a(2)-C2a(5)) 9999. NA (0 in Q.C2a(2)-C2a(5)) 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR M940409 94PO: DISLK #2 DEM CAND (C2A.) COLUMNS 2727 - 2730 NUMERIC Q.C2a(2). [IF NECESSARY: What was that?] <2nd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR M940410 94PO: DISLK #3 DEM CAND (C2A.) COLUMNS 2731 - 2734 NUMERIC Q.C2a(3). [IF NECESSARY: What was that?] <3rd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR M940411 94PO: DISLK #4 DEM CAND (C2A.) COLUMNS 2735 - 2738 NUMERIC Q.C2a(4). [IF NECESSARY: What was that?] <4th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR M940412 94PO: DISLK #5 DEM CAND (C2A.) COLUMNS 2739 - 2742 NUMERIC Q.C2a(5). [IF NECESSARY: What was that?] <5th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 24 in V17 (No Democratic U.S. House candidate); 7 in Q.C1; 5, 8-9 in Q.C2; 9998-9999 in Q.C2a; no further mention ============================== VAR M940413 94PO: LIKE REPUB CAND? (C3.) COLUMNS 2743 - 2743 NUMERIC V17. Was there anything in particular that you liked about (NAME # 32, 34,or 36), the Republican candidate for the U.S. House of Representatives? --------------------------------------------------------- 1. YES 5. NO 7. R VOLUNTEERS: "I DON'T KNOW ANYTHING ABOUT THIS PERSON" 8. DK 9. NA 0. Inap, 14 in V17 (No Republican U.S. House candidate) ============================== VAR M940414 94PO: LIKE #1 REP CAND (C3A.) COLUMNS 2744 - 2747 NUMERIC Q.C3a(1). [IF NECESSARY: What was that?] <1st mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR M940415 94PO: LIKE #2 REP CAND (C3A.) COLUMNS 2748 - 2751 NUMERIC Q.C3a(2). [IF NECESSARY: What was that?] <2nd mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3(1); no further mention ============================== VAR M940416 94PO: LIKE #3 REP CAND (C3A.) COLUMNS 2752 - 2755 NUMERIC Q.C3a(3). [IF NECESSARY: What was that?] <3rd mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR M940417 94PO: LIKE #4 REP CAND (C3A.) COLUMNS 2756 - 2759 NUMERIC Q.C3a(4). [IF NECESSARY: What was that?] <4th mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR M940418 94PO: LIKE #5 REP CAND (C3A.) COLUMNS 2760 - 2762 NUMERIC Q.C3a(5). [IF NECESSARY: What was that?] <5th mention> (PROBE: Anything else that you liked about this candidate? UNTIL R SAYS "NO.") ----------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 5, 7-9 in Q.C3; 9998-9999 in Q.C3a(1); no further mention ============================== VAR M940419 94PO: DISLK REPUB CAND? (C4.) COLUMNS 2763 - 2763 NUMERIC Q.C4. Was there anything in particular that you didn't like about (NAME # 32, 34, or 36)? --------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3 ============================== VAR M940420 94PO: DISLK #1 REP CAND (C4A.) COLUMNS 2764 - 2767 NUMERIC Q.C4a(1). [IF NECESSARY: What was that?] <1st mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR M940421 94PO: DISLK #2 REP CAND (C4A.) COLUMNS 2768 - 2771 NUMERIC Q.C4a(2). [IF NECESSARY: What was that?] <2nd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR M940422 94PO: DISLK #3 REP CAND (C4A.) COLUMNS 2772 - 2775 NUMERIC Q.C4a(3). [IF NECESSARY: What was that?] <3rd mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR M940423 94PO: DISLK #4 REP CAND (C4A.) COLUMNS 2776 - 2779 NUMERIC Q.C4a(4). [IF NECESSARY: What was that?] <4th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR M940424 94PO: DISLK #5 REP CAND (C4A.) COLUMNS 2780 - 2783 NUMERIC Q.C4a(5). [IF NECESSARY: What was that?] <5th mention> (PROBE: Anything else that you didn't like about this candidate? UNTIL R SAYS "NO.") --------------------------------------------------------- See PARTY-CANDIDATE Master Code, except: 9998. DK 9999. NA 0000. Inap, 14 in V17 (No Republican U.S. House candidate); 7 in Q.C3; 5, 8-9 in Q.C4; 9998-9999 in Q.C4a(1); no further mention ============================== VAR M940425 94PO: CKPT: NO. HSE CANDS (C5.) COLUMNS 2784 - 2784 NUMERIC Q.C5. INTERVIEWER CHECKPOINT ------------------------------- NOTE: Respondents in VA10, where an independent candidate opposed a Republican candidate, are coded "1" on the variable. 1. DISTRICT IN WHICH TWO MAJOR PARTY HOUSE CANDIDATES RAN (CANDIDATE LIST INCLUDES ONE NAME #31, 33 OR 35 AND ONE NAME #32, 34 OR 36) 2. DISTRICT IN WHICH ONLY ONE MAJOR PARTY HOUSE CANDIDATE RAN (CANDIDATE LIST INCLUDES EITHER NAME #31, 33 or 35 OR NAME #32, 34, OR 36, BUT NOT BOTH) ============================== VAR M940426 94PO: DISTRICT ISSUE #1 (C6.) COLUMNS 2785 - 2787 NUMERIC Q.C6(1). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you? <1st mention> ----------------------------------------------------------- See CAMPAIGN ISSUE Master Code, except: 995. "There was no campaign in my district." 998. DK 999. NA 000. Inap, 2 in Q.C5; 998-999 in Q.C6(1); no further mention ============================== VAR M940427 94PO: DISTRICT ISSUE #2 (C6.) COLUMNS 2788 - 2790 NUMERIC Q.C6(2). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you? <2nd mention> ----------------------------------------------------------- See CAMPAIGN ISSUE Master Code, except: 998. DK 999. NA 000. Inap, 2 in Q.C5; 998-999 in Q.C6(1); no further mention ============================== VAR M940428 94PO: DISTRICT ISSUE #3 (C6.) COLUMNS 2791 - 2793 NUMERIC Q.C6(3). In the campaign in this district for the U.S. House of Representatives, what would you say was the single most important issue to you? <3rd mention> ----------------------------------------------------------- See CAMPAIGN ISSUE Master Code, except: 998. DK 999. NA 000. Inap, 2 in Q.C5; 998-999 in Q.C6(1); no further mention ============================== VAR M940429 94PO: CKPT: NO. DISTR. ISSUES (C7.) COLUMNS 2794 - 2794 NUMERIC Q.C7. INTERVIEWER CHECKPOINT ------------------------------- 1. R HAS NOT MENTIONED ANY ISSUES (995, 998-999 in Q.C6(1)) 2. R HAS MENTIONED ONLY ONE ISSUE (995, 998-999 in Q.C6(1)) 3. ALL OTHERS 0. Inap, 2 in Q.C5 ============================== VAR M940430 94PO: MOST IMP DISTR ISSUE (C8.) COLUMNS 2795 - 2797 NUMERIC Q.C8. Of those you've mentioned, what would you say is the single most important issue to you? --------------------------------------------------------- Use CAMPAIGN ISSUE Master Code, except: 998. DK 999. NA 000. Inap, 2 in Q.C5; 995, 998-999 in Q.C6(1); 1, 2 in Q.C7 ============================== VAR M940431 94PO: EITHER HSE CAND INCUMBENT (C9.) COLUMNS 2798 - 2798 NUMERIC Q.C9. Do you happen to know if either of these candidates, (NAME #31, 33 or 35) or (NAME #32, 34 or 36) was already in the U.S. House of Representatives before the election? ------------------------------------------------------------ 1. YES, ONE CANDIDATE WAS 2. NEITHER CANDIDATE WAS 3. Both candidates were 5. DON'T KNOW (DON'T PROBE) 9. NA 0. Inap, 2 in Q.C5 ============================== VAR M940432 94PO: WHICH HSE CAND INCUMB -NUM (C9A.) COLUMNS 2799 - 2800 NUMERIC Q.C9a. Which candidate was that? ---------------------------------- HOUSE RACE For States with No Incumbent Representative(s) Running 31. Democratic candidate - open race 32. Republican candidate - open race For States with Running Incumbent 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 98. DK 99. NA 00. Inap, 2 in Q.C5; 2, 5 or 9 in Q.C9 ============================== VAR M940433 94PO: PTY HSE CAND INCUM- 2 CAND (C9AA.) COLUMNS 2801 - 2801 NUMERIC Q.C9aa. Candidate Named ------------------------ Built from Q.C9 1. Democratic candidate (31, 33, 35) 2. Republican " (32, 34, 36) 8. DK (98) 9. NA (99) 0. Inap, 2 in Q.C5; 2, 5 or 9 in Q.C9 ============================== VAR M940434 94PO: WAS CAND INCUMB (C10.) COLUMNS 2802 - 2802 NUMERIC Q.C10. IF ONLY ONE HOUSE CANDIDATE RAN IN THE DISTRICT: Do you happen to know if (NAME #31,32,33,34,35, or 36) was already in the U.S. House of Representatives before the election? ---------------------------------------------------------- Interviewers were instructed not to probe "don't know" responses to Q.C10. 1. YES, CANDIDATE WAS 3. NO, CANDIDATE WAS NOT 5. DON'T KNOW (DON'T PROBE) 9. NA 0. Inap, 1 in Q.C5 ============================== VAR M940435 94PO: NUMBER OF INCUMB CAND (C10A.) COLUMNS 2803 - 2804 NUMERIC Q.C10a. Candidate Number of the House Candidate ------------------------------------------------ HOUSE RACE For States with No Incumbent Representative(s) Running 31. Democratic candidate - open race 32. Republican candidate - open race For States with Running Incumbent 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 98. DK 99. NA 00. Inap, 1 in Q.C5; 3, 5, 9 in Q.C10 ============================== VAR M940436 94PO: PTY HSE CAND INCUM-1 CAND (C10AA.) COLUMNS 2805 - 2805 NUMERIC Q.C10aa. Candidate Named ------------------------ Built from Q.C10a 1. Democratic candidate (31, 33, 35) 2. Republican " (32, 34, 36) 8. DK (98) 9. NA (99) 0. Inap, 1 in 425; 3, 5, 9 in Q.C10 ============================== VAR M940501 94PO: CKPT: DEM CAND IN HSE RACE? (C11.) COLUMNS 2806 - 2806 NUMERIC Q.C11. INTERVIEWER CHECKPOINT ------------------------------- NOTE: VA10 was coded 1 in this checkpoint. The independent candidate running in VA10 was treated as a Democratic candidate in this series. 1. DISTRICT IN WHICH THERE WAS A DEMOCRATIC CANDIDATE (CANDIDATE LIST INCLUDES NAME # 31, 33, 35 or includes #30 if VA10 2. NO DEMOCRATIC CANDIDATE IN THE RACE (CANDIDATE LIST INCLUDES ONLY NAME # 32, 34 OR 36) ============================== VAR M940502 94PO: CONTACT W/DEM HSE CAND? (C12.) COLUMNS 2807 - 2807 NUMERIC Q.C12. (RB, P.3) (Looking at page 3 of the booklet) There are many ways in which Congressional candidates can have contact with the people from their districts. On this page are some of these ways. Think of (NAME # 31, 33 or 35) who ran for the U.S. House of Representatives from this district in the last election. Have you come into contact with or learned anything about (him/her) through any of these ways? ------------------------------------------------------------ 1. YES 5. NO; NO CONTACT AT ALL 8. DK 9. NA 0. Inap, 2 in Q.C11 ============================== VAR M940503 94PO: MET DEM HSE CAND (C12AA.) COLUMNS 2808 - 2808 NUMERIC Q.C12a. Which ones? (MARK ALL MENTIONS) Q.C12aa. MET HIM/HER PERSONALLY ----------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940504 94PO: ATTEND MEET DEM HSE CAND (C12AB.) COLUMNS 2809 - 2809 NUMERIC Q.C12ab. ATTENDED A MEETING OR GATHERING WHERE HE/SHE SPOKE ----------------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940505 94PO: TALK STAFF DEM HSE CAND (C12AC.) COLUMNS 2810 - 2810 NUMERIC Q.C12ac. TALKED TO A MEMBER OF HIS/HER STAFF OR SOMEONE IN HIS/HER OFFICE ---------------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940506 94PO: MAIL FR DEM HSE CAND (C12AD.) COLUMNS 2811 - 2811 NUMERIC Q.C12ad. RECEIVED SOMETHING IN THE MAIL FROM HIM/HER ---------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940507 94PO: READ NEWS DEM HSE CAND (C12AE.) COLUMNS 2812 - 2812 NUMERIC Q.C12ae. READ ABOUT HIM/HER IN A NEWSPAPER OR MAGAZINE ------------------------------------------------------ 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940508 94PO: HEARD RADIO DEM HSE CAND (C12AF.) COLUMNS 2813 - 2813 NUMERIC Q.C12af. HEARD HIM/HER ON THE RADIO ----------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940509 94PO: SAW TV DEM HSE CAND (C12AG.) COLUMNS 2814 - 2814 NUMERIC Q.C12ag. SAW HIM/HER ON TV -------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940510 94PO: OTH CONTACT DEM HSE CAND (C12AH.) COLUMNS 2815 - 2815 NUMERIC Q.C12ah. OTHER CONTACT NOT INCLUDED IN a-g ABOVE (PLEASE SPECIFY) -------------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 2 in Q.C11; 5, 8-9 in Q.C12 ============================== VAR M940511 94PO: ANYONE ELS CONT D HSE CAND? (C13.) COLUMNS 2816 - 2816 NUMERIC Q.C13. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME # 31, 33 or 35)? ------------------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.C11 ============================== VAR M940512 94PO: CKPT: REP CAND IN HSE RACE? (C14.) COLUMNS 2817 - 2817 NUMERIC Q.C14. INTERVIEWER CHECKPOINT ------------------------------- NOTE: VA10 was coded 1 in this checkpoint. The independent candidate running in VA10 was treated as a Democratic candidate in this series. 1. THERE IS A REPUBLICAN CANDIDATE AND A DEMOCRATIC CANDIDATE IN THE DISTRICT (NAME # 32, 34, 36 AND 31, 33, 35 or includes #30 if VA10; CODES 12, 21, 23, 55, 65 in V17) 2. THERE IS A REPUBLICAN CANDIDATE IN THE DISTRICT (NAME # 32, 34 OR 36 ON CANDIDATE LIST), BUT NO DEMOCRATIC CANDIDATE (CODE 24 in V17) 3. NO REPUBLICAN CANDIDATE (CANDIDATE LIST INCLUDES NAME #31, 33 OR 35 ONLY; CODE 14 in V17) ============================== VAR M940513 94PO: CNTCT W/REP HSE CAND? (C14A/C14B.) COLUMNS 2818 - 2818 NUMERIC Q.C14a. (RB, STILL ON P. 3) How about (NAME #32, 34 OR 36) who also ran for the House of Representatives from this district in the last election? Q.C14b. (RB, P. 3) (Looking at Page 3 of the booklet) There are many ways in which Congressional candidates can have contact with the people from their districts. On this page are some of the ways. Think of (NAME # 32, 34 OR 36) who ran for the U.S. House of Representatives from this district in the last election. Have you come into contact with or learned anything about (him/her) through any of these ways? ------------------------------------------------------------ 1. YES 5. NO; NO CONTACT AT ALL 8. DK 9. NA 0. Inap, 3 in Q.C14 ============================== VAR M940514 94PO: MET REP HSE CAND (C15A.) COLUMNS 2819 - 2819 NUMERIC Q.C15. Which ones? (MARK ALL MENTIONS) Q.C15a. MET HIM/HER PERSONALLY ----------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940515 94PO: ATTEND MEET REP HSE CAND (C15B.) COLUMNS 2820 - 2820 NUMERIC Q.C15b. ATTENDED A MEETING OR GATHERING WHERE HE/SHE SPOKE ----------------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940516 94PO: TALK STAFF REP HSE CAND (C15C.) COLUMNS 2821 - 2821 NUMERIC Q.C15c. TALKED TO A MEMBER OF HIS/HER STAFF OR SOMEONE IN HIS/HER OFFICE ---------------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940517 94PO: MAIL FR REP HSE CAND (C15D.) COLUMNS 2822 - 2822 NUMERIC Q.C15d. RECEIVED SOMETHING IN THE MAIL FROM HIM/HER ---------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940518 94PO: READ NEWS REP HSE CAND (C15E.) COLUMNS 2823 - 2823 NUMERIC Q.C15e. READ ABOUT HIM/HER IN A NEWSPAPER OR MAGAZINE ------------------------------------------------------ 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940519 94PO: HEARD RADIO REP HSE CAND (C15F.) COLUMNS 2824 - 2824 NUMERIC Q.C15f. HEARD HIM/HER ON THE RADIO ----------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940520 94PO: SAW TV REP HSE CAND (C15G.) COLUMNS 2825 - 2825 NUMERIC Q.C15g. SAW HIM/HER ON TV -------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940521 94PO: OTH CONTACT REP HSE CAND (C15H.) COLUMNS 2826 - 2826 NUMERIC Q.C15h. OTHER CONTACT NOT INCLUDED IN a-g ABOVE (PLEASE SPECIFY) -------------------------------------------------------- 1. Checked 5. Not checked 9. NA 0. Inap, 3 in Q.C14; 5, 8-9 in Q.C14b ============================== VAR M940522 94PO: ANYONE ELS CONT R HSE CAND? (C16.) COLUMNS 2827 - 2827 NUMERIC Q.C16. Do you know anyone, any of your family, friends, or people at work, who have had some contact with (NAME # 32, 34 OR 36)? ------------------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 3 in Q.C14 ============================== VAR M940601 94PO: DID R VOTE (D1.) COLUMNS 2828 - 2828 NUMERIC Q.D1. In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you--did you vote in the elections this November? ------------------------------------------------------------ 1. YES, DID VOTE 5. NO, DID NOT VOTE 6. Refused to say whether voted 7. Not old enough to vote (see Supervisor before using) 8. DON'T KNOW 9. NA ============================== VAR M940602 94PO: WAS R REGISTERED (D1A.) COLUMNS 2829 - 2829 NUMERIC Q.D1a. Were you registered to vote in this election? ------------------------------------------------------ 1. YES 5. NO 6. R VOLUNTEERS: VOTERS NOT REQUIRED TO REGISTER 8. DON'T KNOW 9. NA 0. Inap, 1, 6-7, 9 in Q.D1 ============================== VAR M940603 94PO: WHERE REGISTERED (D2.) COLUMNS 2830 - 2830 NUMERIC Q.D2. Your residence is located in [NAME] County. Are you registered to vote in [NAME] County? ------------------------------------------------------------ County name was pre-edited from the sample label on coversheet. 1. YES 5. NO 8. DK 9. NA 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a ============================== VAR M940604 94PO: FIPS ST/CNTY R (D2A-1.) COLUMNS 2831 - 2835 NUMERIC Q.D2a-1. In what county and state are you registered? ----------------------------------------------------- The question was asked only of Rs registered in a county different from where they were residing at the time of the 94 Post. The FIPS state and county code of registration address is coded here. 99998. DK 99999. NA 00000. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 1, 8-9 in Q.D2 ============================== VAR M940605 94PO: FIPS ST/CNTY R REG (D2A.) ALPHANUMERIC COLUMNS 2836 - 2836 CHARACTER Q.D2a. In what county and state are you registered? ----------------------------------------------------- This field is blank. ============================== VAR M940606 94PO: CKPT: DID R REG AND VOTE? (D2B.) COLUMNS 2837 - 2837 NUMERIC Q.D2b. INTERVIEWER CHECKPOINT - REGISTRATION AND VOTE ------------------------------------------------------- 1. R VOTED (1 in Q.D1) 2. R REGISTERED BUT DID NOT VOTE OR REGISTERED BUT DK IF VOTED (5, 8 in Q.D1 and 1 in Q.D1a) 0. INAP, NOT REGISTERED OR DK/NA IF REGISTERED (6-7, 9 in Q.D1a; 5-6, 8-9 in Q.D1a) ============================== VAR M940607 94PO: R VOTE ELECT DAY OR BEFORE (D3.) COLUMNS 2838 - 2838 NUMERIC Q.D3. Did you vote on election day -- that is November 8th 1994, or did you vote at some time before this? --------------------------------------------------------- 1. ON ELECTION DAY 2. SOME TIME BEFORE 8. DK 9. NA 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b ============================== VAR M940608 94PO: HOW LONG BEF ELCT DAY VOTED (D3A.) COLUMNS 2839 - 2840 NUMERIC Q.D3a. How long before November 8th did you vote? (PROBE: A few days, a week, longer than that?) ------------------------------------------------------------ * NFS (not further specified) 01. Less than one week; 1-6 days 02. One week; 7 days 03. 1-2 weeks; 8-14 days 04. 2-3 weeks; 15-21 days 05. 3-4 weeks; 22-28 days 06. One month; 29-31 days 07. More than one month; 32-60 days 11. A few days; a couple of days; several days--NFS* 12. A few weeks; a couple of weeks; several weeks--NFS* 91. More than a few days--NFS* 92. More than a few weeks--NFS* 97. Other 98. DK; not sure 99. NA 00. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 1, 8-9 in Q.D3 ============================== VAR M940609 94PO: VOTE IN PERS OR ABSENTEE (D4.) COLUMNS 2841 - 2841 NUMERIC Q.D4. Did you vote in person or by absentee ballot? ------------------------------------------------------ 1. IN PERSON 2. ABSENTEE BALLOT 8. DK 9. NA 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b ============================== VAR M940610 94PO: CKPT: REG IN CNTY/ST OF IW? (D5A.) COLUMNS 2842 - 2842 NUMERIC Q.D5a. INTERVIEWER CHECKPOINT - REGISTRATION OF VOTER ------------------------------------------------------- (SEE D2, D2a; COUNTY AND STATE OF REGISTRATION) 1. R VOTED, REGISTERED TO VOTE IN COUNTY AND STATE OF INTERVIEW (1 IN Q.D1 AND 1 IN Q.D2) 2. R VOTED, REGISTERED TO VOTE OUTSIDE OF COUNTY AND/OR STATE OF INTERVIEW (1 IN Q.D1 AND 5 IN Q.D2) 3. R VOTED BUT DK/NA ADDRESS WHERE REGISTERED (1 IN Q.D1 AND 8-9 IN Q.D2) 0. INAP, R DID NOT VOTE 5,6-7,9 IN Q.D1) ============================== VAR M940611 94PO: CKPT: FORM B OR Y (D5B.) COLUMNS 2843 - 2843 NUMERIC Q.D5b. INTERVIEWER CHECKPOINT -FORM TYPE OF BALLOT CARD --------------------------------------------------------- 1. R IS FORM B: USE BLUE BALLOT CARD 2. R IS FORM Y: USE YELOW BALLOT CARD 8. NA, IWR marked form type different from assigned type or did not mark at all 9. NA, telephone IW 0. INAP, R did not vote or voted outside county/state of interview (5, 6-7, 9 IN Q.D1; 2 IN Q.D5A) ============================== VAR M940612 94PO: DID R VOTE FOR HSE CAND (D6/D11.) COLUMNS 2844 - 2844 NUMERIC Q.D6/D11. Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington. Did you vote for a candidate for the U.S. House of Representatives? ----------------------------------------------------------- 1. YES 5. NO 7. R VOLUNTEERS: VOTED FOR CANDIDATE WHOSE NAME IS NOT ON BALLOT CARD 8. DK 9. NA 0. Inap, 5-7, 9 in Q.D1 ============================== VAR M940613 94PO: R'S HOUSE VOTE (D6A/D11A.) COLUMNS 2845 - 2846 NUMERIC Q.D6a/D11a. Who did you vote for? (The response was precoded by the interviewer) ---------------------------------------------------- 30. Third party or independent House candidate 31. Democratic candidate in open House race 32. Republican candidate in open House race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger If R Voted Outside District of Interview 80. Independent or minor party House candidate 81. Democratic candidate in open House race 82. Republican candidate in open House race 83. Democratic incumbent 84. Republican incumbent 85. Democratic House challenger 86. Republican House challenger 91. Democrat -- no name given 92. Republican -- no name given 97. Name given not on candidate list for this race 98. DK, refused to name candidate 99. NA 00. INAP, 5, 6-7, 9 in Q.D1; 5, 8-9 in Q.D6/D11 ============================== VAR M940614 94PO: R'S HSE VOTE - PARTY (D6X/D11X.) COLUMNS 2847 - 2847 NUMERIC Q.D6x/D11x. CANDIDATE NAMED--U.S. HOUSE OF REPRESENTATIVES ----------------------------------------------------------- Built from Q.D6/D11 1. DEMOCRATIC CANDIDATE (31, 33, 35, 81, 83, 85, 91) 2. REPUBLICAN CANDIDATE (32, 34, 36, 82, 84, 86, 92) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30, 80) 7. Name given not in Candidate List for that race (97) 8. DK OR REFUSED (98) 9. NA (99) 0. INAP, 5, 6-7, 9 in Q.D1; 5, 8-9 in Q.D6/D11 ============================== VAR M940615 94PO: CKPT: SENATE RACE? (D7.) COLUMNS 2848 - 2848 NUMERIC Q.D7. INTERVIEWER CHECKPOINT ------------------------------- 1. U.S. SENATE RACE IN THIS STATE (CANDIDATE LIST INCLUDES AT LEAST ONE NAME FROM #11-#16) 2. NO U.S. SENATE RACE (NO NAME FROM #11-#16 ON CANDIDATE LIST) 0. Inap, 5, 6-7, 9 in Q.D1; 2 in Q.D5a ============================== VAR M940616 94PO: DID R VOTE FOR SEN CAND (D8/D12.) COLUMNS 2849 - 2849 NUMERIC Q.D8. (BALLOT CARD) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? Q.D12. How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? ----------------------------------------------------------- 1. YES 5. NO 7. R volunteers: No Senate race in the state 8. DON'T KNOW 9. NA 0. Inap, 5, 6-7, 9 in Q.D1; 2 in Q.D7 ============================== VAR M940617 94PO: R'S SENATE VOTE (D8A/D12A.) COLUMNS 2850 - 2851 NUMERIC Q.D8a/D12a. Who did you vote for? (Precoded by interviewer) ------------------------------------------------ 10. Third part or independent Senate candidate 11. Democratic candidate in open Senate race 12. Republican candidate in open Senate race 13. Democratic Senate incumbent 14. Republican Senate incumbent 15. Democratic Senate challenger 16. Republican Senate challenger 26. Major independent candidate If R Voted Outside District of Interview 81. Democratic Candidate in open Senate race 82. Republican Candidate in open Seante race 83. Democratic Incumbent 84. Republican Incumbent 85. Democratic challenger 86. Republican challenger 91. Democrat -- no name given 92. Republican -- no name given 97. Name given not on candidate list for this race 98. DK, refused to name candidate 99. NA 00. INAP, 5-7, 9 in Q.D1; 2 in Q.D7; 5, 7-9 in Q.D8/D12 ============================== VAR M940618 94PO: R'S SEN VOTE -PARTY (D8X/D12X.) COLUMNS 2852 - 2852 NUMERIC Q.D8x/D12x. CANDIDATE NAMED--U.S. SENATE ----------------------------------------- Built from Q.D8a/D12a 1. DEMOCRATIC CANDIDATE (11, 13, 15, 81, 83, 85, 91) 2. REPUBLICAN CANDIDATE (12, 14, 16, 82, 84, 86, 92) 3. THIRD PARTY/INDEPENDENT CANDIDATE (10) 7. Name given not in Candidate List for that race (97) 8. DK OR REFUSED (98) 9. NA (99) 0. INAP, 5, 6-7, 9 in Q.D1; 2 in Q.D7; 5, 7-9 in Q.D8/D12 ============================== VAR M940619 94PO: CKPT: GUB RACE? (D9.) COLUMNS 2853 - 2853 NUMERIC Q.D9. INTERVIEWER CHECKPOINT ----------------------------- 1. GOVERNOR'S RACE IN THIS STATE (CANDIDATE LIST INCLUDES AT LEAST ONE NAME FROM #51-#56) 2. NO GOVERNOR'S RACE (NO NAME FROM #51-#56 ON CANDIDATE LIST) (81, 82, 99 in V19; 0 in Q.D13-D10x/D13x) IN, NJ, KY, LA, MO, NJ, NC, UT, VA, WA, WV (22, 12, 51, 45, 34, 12, 47, 67, 40, 73, 56 in V13) 9. NA; 2 in Q.D5a 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b ============================== VAR M940620 94PO: DID R VOTE FOR GUB CAND (D10/D13.) COLUMNS 2854 - 2854 NUMERIC Q.D10. (BALLOT CARD) How about the election for Governor--did you vote for a candidate for Governor? Q.D13. How about the election for Governor--did you vote for a candidate for Governor? ---------------------------------------------------------- 1. YES 5. NO 7. R Volunteers: No Governor race in the state 8. DON'T KNOW 9. NA 0. Inap, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 2 in Q.D9 ============================== VAR M940621 94PO: R'S GUB VOTE (D10A/D13A.) COLUMNS 2855 - 2856 NUMERIC Q.D10a/D13a. Who did you vote for? (Precoded by interviewer) ------------------------------------------------- 50. Third part or independent Gubernatorial candidate 51. Democratic candidate in open Gubernatorial race 52. Republican candidate in open Gubernatorial race 53. Democratic Gubernatorial incumbent 54. Republican Gubernatorial incumbent 55. Democratic Gubernatorial challenger 56. Republican Gubernatorial challenger If R Voted Outside District of Interview 80. Independent or minor party candidate 81. Democratic candidate in open Gubernatorial race 82. Republican candidate in open Gubernatorial race 80. Independent or minor party candidate 83. Democratic incumbent 84. Republican incumbent 85. Democratic challenger 86. Republican challenger 87. Liberal or Conservative Candidate 91. Democrat -- no name given 92. Republican -- no name given 97. Name given not on candidate list for this race 98. DK, refused to name candidate 99. NA 00. INAP, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 2 in Q.D9; 5, 7-9 in Q.D13 ============================== VAR M940622 94PO: R'S GUB VOTE -PARTY (D10X/D13X.) COLUMNS 2857 - 2857 NUMERIC Q.D10x/D13x. CANDIDATE NAMED--STATE GOVERNOR --------------------------------------------- Built from Q.D10a/D13a 1. DEMOCRATIC CANDIDATE (51, 53, 55, 81, 83, 85, 91) 2. REPUBLICAN CANDIDATE (52, 54, 56, 82, 84, 86, 92) 3. THIRD PARTY/INDEPENDENT CANDIDATE (50, 80) 7. Name given not in Candidate List for that race (97) 8. DK (98) 9. NA (99) 0. INAP, 6-7, 9 in Q.D1; 5-6, 8-9 in Q.D1a; 2 in Q.D2b; 2 in Q.D9; 5, 7-9 in Q.D13 ============================== VAR M940623 94PO: CKPT: FORM B OR Y (D14.) COLUMNS 2858 - 2858 NUMERIC Q.D14. INTERVIEWER CHECKPOINT ------------------------------- 1. R IS FORM B: USE BLUE BALLOT CARD 2. R IS FORM Y: USE YELOW BALLOT CARD 8. NA, IWR marked Form type different from assigned type or did not mark at all 9. NA, TELEPHONE IW 0. Inap, 6-7, 9 in Q.D1; 1 in Q.D2b ============================== VAR M940624 94PO: NONVOTER- HSE CAND PREF? (D15.) COLUMNS 2859 - 2859 NUMERIC Q.D15. FOR R'S WHO DID NOT VOTE Here is a list of candidates for the major races in this district. How about the election for the House of Representatives in Washington. Did you prefer one of the candidates for the U.S. House of Representatives? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 1, 6-7, 9 in Q.D1 ============================== VAR M940625 94PO: NONV HSE CAND PREF (D15A.) COLUMNS 2860 - 2861 NUMERIC Q.D15a. Which candidate was that? ---------------------------------- Precoded by interviewer 30. Third party or independent House candidate 31. Democratic candidate in open House race 32. Republican candidate in open House race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger If R Voted Outside District of Interview 80. Independent or minor party House candidate 81. Democratic candidate in open House race 82. Republican candidate in open House race 83. Democratic incumbent 84. Republican incumbent 85. Democratic House challenger 86. Republican House challenger 91. Democrat -- no name given 92. Republican -- no name given 97. Name given not on candidate list for this race 98. DK, refused to name candidate 99. NA 00. Inap, 1, 6-7, 9 in Q.D1; 1 in Q.D2b; 5, 8-9 in Q.D15 ============================== VAR M940626 94PO: NONV HSE CAND PREF-PARTY (D15X.) COLUMNS 2862 - 2862 NUMERIC Q.D15x. CANDIDATE NAMED--U.S. HOUSE OF REPRESENTATIVES ------------------------------------------------------- Built from Q.D15a 1. DEMOCRATIC CANDIDATE (31, 33, 35) 2. REPUBLICAN CANDIDATE (32, 34, 36) 3. THIRD PARTY/INDEPENDENT CANDIDATE (30) 7. Name given not in Candidate List for that race (97) 8. DK (98) 9. NA (99) 0. INAP, 1, 6-7, 9 in Q.D1; 1 in Q.D2b; 5, 8-9 in Q.D15 ============================== VAR M940627 94PO: CKPT: INCUMB IN HSE RACE? (E0.) COLUMNS 2863 - 2863 NUMERIC Q.E0. INTERVIEWER CHECKPOINT ------------------------------- 1. DISTRICT IN WHICH AN INCUMBENT IS RUNNING (CANDIDATE LIST INCLUDES # 33 OR #34) 2. NO INCUMBENT RUNNING (CANDIDATE LIST INCLUDES # 31, 32 OR BOTH) ============================== VAR M940628 94PO: R CONTACT HSE REPRESENTATVE? (E1.) COLUMNS 2864 - 2864 NUMERIC Q.E1. Have you (or anyone in your family living here) ever contacted Representative (NAME # 33 or 34) or anyone in (his/her) office? ------------------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940629 94PO: HSE CONTACT- EXPRESS OPIN (E1A-1.) COLUMNS 2865 - 2865 NUMERIC Q.E1a. Was it to: (ACCEPT MORE THAN ONE MENTION) Q.E1a-1. express an opinion? --------------------------------------------------- USE SAME CODE FOR Q.E1a-2-E1c 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E1 ============================== VAR M940633 94PO: SATISF RESPONSE FR HSE REPR (E1C.) COLUMNS 2869 - 2869 NUMERIC Q.E1c. How satisfied were you with the response: very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ------------------------------------------------------------ 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 4. NOT VERY SATISFIED 5. NOT AT ALL SATISFIED 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E1; 5, 8-9 in Q.E1b ============================== VAR M940634 94PO: ANYONE ELS CONT HSE REPR? (E2.) COLUMNS 2870 - 2870 NUMERIC Q.E2. Do you know anyone else who has contacted Representative (NAME # 33 or 34) or anyone in (his/her) office? ------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940635 94PO: DID PERSON GET RESPONSE? (E2A.) COLUMNS 2871 - 2871 NUMERIC Q.E2a. Did this (person/group) get a response? ------------------------------------------------ 1. YES 5. NO 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E2 ============================== VAR M940636 94PO: WAS PERSON SATISF W/ RESP? (E2B.) COLUMNS 2872 - 2872 NUMERIC Q.E2b. How satisfied was this (person/group) with the response --very satisfied, somewhat satisfied, not very satisfied, or not at all satisfied? ------------------------------------------------------- 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 4. NOT VERY SATISFIED 5. NOT AT ALL SATISFIED 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0; 5, 8-9 in Q.E2; 5, 8-9 in Q.E2a ============================== VAR M940637 94PO: APP/DIS HSE INC PERFORMANCE (E3.) COLUMNS 2873 - 2873 NUMERIC Q.E3. In general, do you approve or disapprove of the way Representative (NAME #33 or 34) has been handling (his/her) job? ------------------------------------------------------------ 1. APPROVE 5. DISAPPROVE 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940638 94PO: APP/DIS HSE INC SCALE (E3A/E3B.) COLUMNS 2874 - 2874 NUMERIC Q.E3a. Do you approve strongly or not strongly? Q.E3b. Do you disapprove strongly or not strongly? ---------------------------------------------------- 1. STRONGLY APPROVE 2. NOT STRONGLY APPROVE 4. NOT STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK 9. NA 0. Inap, 2 in Q.E0; 8-9 in Q.E3 ============================== VAR M940639 94PO: WOULD HSE REP BE HELPFUL (E4.) COLUMNS 2875 - 2875 NUMERIC Q.E4. If you had (another/a) problem that Representative (NAME # 33, 34) could do something about, do you think (he/she) would be very helpful, somewhat helpful, or not very helpful to you? ----------------------------------------------------------- 1. VERY HELPFUL 2. SOMEWHAT HELPFUL 3. NOT VERY HELPFUL 7. DEPENDS 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940640 94PO: HSE REP DO ANYTHING SPECIAL (E5.) COLUMNS 2876 - 2876 NUMERIC Q.E5. Do you happen to remember anything special that Representative (NAME # 33 or 34) has done for the people in (his/her) district while (he/she) has been in Congress? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940641 94PO: R KNOW #YRS HSE REPR IN OFC? (E6.) COLUMNS 2877 - 2877 NUMERIC Q.E6. Do you happen to know about how many years (he/she) has been in the House of Representatives? ------------------------------------------------------------ 1. YES 5. NO, DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940642 94PO: HOW MANY YR HSE REPR IN OFC (E6A.) COLUMNS 2878 - 2879 NUMERIC Q.E6a. (About how many?) -------------------------- If range given, midpoint was coded. Fractions were rounded to even number. If number of terms was given the number of terms was multiplied by 2. Code actual number of YEARS (01-38) 98. DK 99. NA 00. Inap, 2 in Q.E0; 5, 8-9 in Q.E6 ============================== VAR M940643 94PO: LT OR GT 12 YR IN OFFICE (E6B.) COLUMNS 2880 - 2880 NUMERIC Q.E6b. Would you say less than 12 years, about 12 years, or more than 12 years? ---------------------------------------------------------- 1. LESS THAN 12 YEARS 3. ABOUT 12 YEARS 5. MORE THAN 12 YEARS 8. DON'T KNOW (DO NOT PROBE) 9. NA 0. Inap, 2 in Q.E0; 1, 8-9 in Q.E6 ============================== VAR M940644 94PO: HSE INC SUPPORT FOR CLINTON (E7.) COLUMNS 2881 - 2881 NUMERIC Q.E7. How often has Representative (NAME # 33 or 34) supported President Clinton's legislative proposals? More than half the time, half, less than half the time, or are you not sure? ---------------------------------------------------------- 1. MORE THAN HALF 3. HALF 5. LESS THAN HALF 8. NOT SURE, DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940645 94PO: H INC SUPP CLINT ALM ALWAYS (E7A.) COLUMNS 2882 - 2882 NUMERIC Q.E7a. Would you say it was almost always? -------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.E0; 3, 5, 8-9 in Q.E7 ============================== VAR M940646 94PO: H INC SUPP CLINT ALM NEVER (E7B.) COLUMNS 2883 - 2883 NUMERIC Q.E7b Would you say it was almost never? ------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.E0; 1, 3, 8-9 in Q.E7 ============================== VAR M940647 94PO: H INC SUPP CLINT HALF TIME (E7C.) COLUMNS 2884 - 2884 NUMERIC Q.E7c. What would be your best guess--more than half the time, half the time, or less than half the time? ---------------------------------------------------------- 1. MORE THAN HALF 3. HALF 5. LESS THAN HALF 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0; 1, 3, 5, 9 in Q.E7 ============================== VAR M940648 94PO: HSE INC VOTE FOR CRIME BILL (E8.) COLUMNS 2885 - 2885 NUMERIC Q.E8. One of the main parts of President Clinton's program this year was his crime bill. Did Representative (NAME #33 OR 34) vote for or against the crime bill? --------------------------------------------------------- 1. VOTED FOR CRIME BILL 2. R VOLUNTEERS "THINK HE/SHE VOTED FOR IT; HE/SHE MUST HAVE VOTED FOR IT" 4. R VOLUNTEERS "THINK HE/SHE VOTED AGAINST IT; HE/SHE MUST HAVE VOTED AGAINST IT" 5. VOTED AGAINST CRIME BILL 8. DK 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940649 94PO: GUESS-H INC VOTE CRIME BILL (E8A.) COLUMNS 2886 - 2886 NUMERIC Q.E8a. What would be your best guess? (Did [he/she] vote for or against the crime bill?) ----------------------------------------------------------- 1. VOTED FOR CRIME BILL 5. VOTED AGAINST CRIME BILL 8. DON'T KNOW (DO NOT PROBE) 9. NA 0. Inap, 2 in Q.E0; 1-2, 4-5, 9 in Q.E8 ============================== VAR M940650 94PO: H INC SOLV PROB OR PRESTIGE (E9.) COLUMNS 2887 - 2887 NUMERIC Q.E9. (RB, P. 4) (Looking at page 4 of the booklet) Generally speaking, do you think your representative cares more about solving the problems that face people in your district, or more about gaining prestige and influence for (himself/herself) in Washington? ---------------------------------------------------------- 1. SOLVING PROBLEMS 3. R VOLUNTEERS: "ABOUT EQUAL" 5. GAINING PRESTIGE AND INFLUENCE 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.E0 ============================== VAR M940651 94PO: FAV/OPP TERM LIMITS (E10.) COLUMNS 2888 - 2888 NUMERIC Q.E10. (Not using the booklet) A law has been proposed that would limit members of Congress to no more than 12 consecutive years of service in that office. Do you favor or oppose such a law? ---------------------------------------------------------- 1. FAVOR 5. OPPOSE 7. OTHER: SPECIFY 8. DON'T KNOW 9. NA ============================== VAR M940652 94PO: R REPUB, DEM OR INDEP (E11.) COLUMNS 2889 - 2889 NUMERIC Q.E11. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? -------------------------------------------------------- 1. REPUBLICAN 2. INDEPENDENT 3. NO PREFERENCE 4. OTHER PARTY 5. DEMOCRAT 8. DK 9. NA ============================== VAR M940653 94PO: IS R STRONG REPUB/DEM (E11A/E11B.) COLUMNS 2890 - 2890 NUMERIC Q.E11a. Would you call yourself a strong Republican or a not very strong Republican? Q.E11b. Would you call yourself a strong Democrat or a not very strong Democrat? ----------------------------------------------------------- 1. STRONG 5. NOT VERY STRONG 8. DK 9. NA 0. Inap, 2-4, 8-9 in Q.E11 ============================== VAR M940654 94PO: R CLOSER TO REPUB/DEM (E11C.) COLUMNS 2891 - 2891 NUMERIC Q.E11c. Do you think of yourself as closer to the Republican Party or the Democratic Party? -------------------------------------------------- 1. CLOSER TO REPUBLICAN 3. NEITHER 5. CLOSER TO DEMOCRAT 8. DK 9. NA 0. Inap, 1, 5, 8-9 in Q.E11 ============================== VAR M940655 94PO: PARTY ID SUMMARY (E11X.) COLUMNS 2892 - 2892 NUMERIC Q.E11x. SUMMARY: R's Party ID ------------------------------- Built from Q.E11-E11c The numbers in parentheses refer to responses to Q.E11-E11c. Code 8 (APOLITICAL) was used only if Respondent had a code of 3 (NO PREFERENCE) in Q.E11 and a code of 3, 8, or 9 (NEITHER, DK, OR NA) in Q.Ellc and also showed little or no interest in politics in response to each of the following questions: A1. B9, D1, F1. Respondents who showed interest in politics in response to A1, B9, D1, or F1 were recoded to 3. 0. STRONG DEMOCRAT (510) 1. WEAK DEMOCRAT (550, 580, 590) 2. INDEPENDENT-DEMOCRAT (205, 305, 405) 3. INDEPENDENT-INDEPENDENT (203, 208, 209) 4. INDEPENDENT-REPUBLICAN (201, 301, 401) 5. WEAK REPUBLICAN (150, 180, 190) 6. STRONG REPUBLICAN (110) 7. OTHER-MINOR PARTY, REFUSES TO SAY (403, 408, 409) 8. APOLITICAL (303, 308, 309) 9. NA (800, 900) ============================== VAR M940701 94PO: R FOLLOW PUBLIC AFFAIRS (F1.) COLUMNS 2893 - 2893 NUMERIC Q.F1. Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs most of the time, some of the time, only now and then, or hardly at all? ----------------------------------------------------------- 1. MOST OF THE TIME 2. SOME OF THE TIME 3. ONLY NOW AND THEN 4. HARDLY AT ALL 8. DON'T KNOW 9. NA ============================== VAR M940702 94PO: #1 MOST IMP PROBLEM (F2.) COLUMNS 2894 - 2896 NUMERIC Q.F2(1). What do you think are the most important problems facing this country? <1st mention> (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO.") ---------------------------------------------------------- See IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 998-999 in Q.F2(1); no further mention ============================== VAR M940703 94PO: #2 MOST IMP PROBLEM (F2.) COLUMNS 2897 - 2899 NUMERIC Q.F2(2). What do you think are the most important problems facing this country? <2nd mention> (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO.") ---------------------------------------------------------- See IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 998-999 in Q.F2(1); no further mention ============================== VAR M940704 94PO: #3 MOST IMP PROBLEM (F2.) COLUMNS 2900 - 2902 NUMERIC Q.F2(3). What do you think are the most important problems facing this country? <3rd mention> (PROBE: Any other important problems facing the country? UNTIL R SAYS "NO.") ---------------------------------------------------------- See IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 998-999 in Q.F2(1); no further mention ============================== VAR M940705 94PO: NO. M IMP PROBS MENTIONED (F3.) COLUMNS 2903 - 2903 NUMERIC Q.F3. INTERVIEWER CHECKPOINT ------------------------------- 1. R HAS NOT MENTIONED ANY PROBLEMS (998, 999 in Q.F2(1)) 2. R HAS MENTIONED ONLY ONE PROBLEM 3. ALL OTHERS ============================== VAR M940706 94PO: WHICH PROB IS MOST IMP (F4.) COLUMNS 2904 - 2906 NUMERIC Q.F4. Of those you've mentioned, what would you say is the single most important problem the country faces? --------------------------------------------------------- Use IMPORTANT PROBLEM Master Code, except: 998. DK 999. NA 000. Inap, 1 in Q.F3 ============================== VAR M940707 94PO: PTY TO DEAL W/MOST IMP PROB (F5.) COLUMNS 2907 - 2907 NUMERIC Q.F5. Which political party do you think would be most likely to get the government to do a better job in dealing with this problem--the Republicans, the Democrats, or wouldn't there be much difference between them? ---------------------------------------------------------- 1. REPUBLICANS 3. NOT MUCH DIFFERENCE 5. DEMOCRATS 8. DON'T KNOW 9. NA 0. Inap, 1 in Q.F3 ============================== VAR M940708 94PO: ANY DIFFS BETW D/R PARTIES? (F6.) COLUMNS 2908 - 2908 NUMERIC Q.F6. Do you think there are any important differences in what the Republicans and Democrats stand for? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M940709 94PO: #1 PARTY DIFFERENCE (F6A-1.) COLUMNS 2909 - 2909 NUMERIC Q.F6a-1(1). What are those differences? <1st mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR M940710 94PO: #1 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 2910 - 2912 NUMERIC Q.F6a-2(1). CONTENT CODE <1st mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK Q.F6a-2(1) only; 8 in Q.F6a-1(1) 999. NA Q.F6a-2(1) only; 9 in Q.F6a-1(1) 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR M940711 94PO: #2 PARTY DIFFERENCE (F6A-1.) COLUMNS 2913 - 2913 NUMERIC Q.F6a-1(2). What are those differences? <2nd mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR M940712 94PO: #2 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 2914 - 2916 NUMERIC Q.F6a-2(2). CONTENT CODE <2nd mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR M940713 94PO: #3 PARTY DIFFERENCE (F6A-1.) COLUMNS 2917 - 2917 NUMERIC Q.F6a-1(3). What are those differences? <3rd mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR M940714 94PO: #3 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 2918 - 2920 NUMERIC Q.F6a-2(3). CONTENT CODE <3rd mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR M940715 94PO: #4 PARTY DIFFERENCE (F6A-1.) COLUMNS 2921 - 2921 NUMERIC Q.F6a-1(4). What are those differences? <4th mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR M940716 94PO: #4 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 2922 - 2924 NUMERIC Q.F6a-2(4). CONTENT CODE <4th mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR M940717 94PO: #5 PARTY DIFFERENCE (F6A-1.) COLUMNS 2925 - 2925 NUMERIC Q.F6a-1(5). What are those differences? <5th mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR M940718 94PO: #5 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 2926 - 2928 NUMERIC Q.F6a-2(5). CONTENT CODE <5th mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR M940719 94PO: #6 PARTY DIFFERENCE (F6A-1.) COLUMNS 2929 - 2929 NUMERIC Q.F6a-1(6). What are those differences? <6th mention> ----------------------------------------------------- Responses that refer specifically to the candidates rather than parties were coded "7". However, if the candidates are referred to as leaders or representatives of the parties, the responses were coded in the appropriate code category. 1. Democratic party mention 2. Democratic presidential candidate mention 4. Republican presidential candidate mention 5. Republican party mention 6. Other party mentioned instead 7. Unclear party reference--some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK 9. NA 0. Inap, 5, 8-9 in Q.F6; no further mention ============================== VAR M940720 94PO: #6 PARTY DIFFRNCE CONTENT (F6A-2.) COLUMNS 2930 - 2932 NUMERIC Q.F6a-2(6). CONTENT CODE <6th mention> -------------------------------------- See PARTY DIFFERENCES Master Code 998. DK 999. NA 000. Inap, 5, 8-9 in Q.F6; 8-9 in Q.F6a-1(1); no further mention ============================== VAR M940801 94PO: DID PARTIES CONTACT R (G1.) COLUMNS 2933 - 2933 NUMERIC Q.G1. As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the political parties call you up or come around and talk to you about the campaign this year? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M940802 94PO: WHICH PARTY CONTACTED R (G1A.) COLUMNS 2934 - 2934 NUMERIC Q.G1a. Which party was that? ------------------------------ 1. REPUBLICAN 3. BOTH 5. DEMOCRATIC 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, 5, 8-9 in Q.G1 ============================== VAR M940803 94PO: ANYONE ELSE CONT R ABT CANDS (G2.) COLUMNS 2935 - 2935 NUMERIC Q.G2. Other than someone from the two major parties, did anyone (else) call you up or come around and talk to you about supporting specific candidates in this last election? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA ============================== VAR M940804 94PO: #1 CAND SUPPORT ASKED (G2A.) COLUMNS 2936 - 2937 NUMERIC Q.G2a(1). Which candidate(s) did (he/she/they) ask you to support? <1st mention> ----------------------------------------------------------- Precoded by interviewer REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 10. Independent/minor party candidate 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level DEMOCRATIC CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 26. Senate candidate, Independent, in state with Democratic incumbent and republican candidate 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but party/office level NA (low priority) 98. DON'T KNOW, CAN'T REMEMBER Q.G2a(1) only: 0 in Q.G2a(2) 99. NA (Q.G2a(1) only) 00. Inap, 5, 8-9 in Q.G2; 98-99 in Q.G2a(1); no further mention ============================== VAR M940805 94PO: #2 CAND SUPPORT ASKED (G2A.) COLUMNS 2938 - 2939 NUMERIC Q.G2a(2). Which candidate(s) did (he/she/they) ask you to support? <2nd mention> ----------------------------------------------------------- Precoded by interviewer REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level DEMOCRATIC CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 26. Senate candidate, Independent, in state with Democratic incumbent and republican candidate 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but party/office level NA (low priority) 98. DON'T KNOW, CAN'T REMEMBER Q.G2a(1) only: 0 in Q.G2a(2) 99. NA (Q.G2a(1) only) 00. Inap, 5, 8-9 in Q.G2; 98-99 in Q.G2a(1); no further mention ============================== VAR M940806 94PO: ANYONE TALK TO R ABT VOT/REG (G3.) COLUMNS 2940 - 2940 NUMERIC Q.G3. During the campaign this year, did anyone talk to you about registering to vote or getting out to vote? ---------------------------------------------------------- [INTERVIEWER INSTRUCTION]: IF R RECEIVED A CALL ON ELECTION DAY REMINDING HIM/HER TO VOTE, OR OFFERING A RIDE, THAT COUNTS AS "YES". 1. YES 5. NO 8. DON'T KNOW 9. NA ============================== VAR M940807 94PO: ANY MORAL/RELG GRPS CONTCT R (G4.) COLUMNS 2941 - 2941 NUMERIC Q.G4. Were there any groups concerned with moral or religious issues that tried to encourage you to vote in a particular way? --------------------------------------------------------- 1. YES THERE WERE 5. NO THERE WEREN'T 8. DK 9. NA ============================== VAR M940808 94PO: R ADVISE ANYONE ABOUT VOTING (G5.) COLUMNS 2942 - 2942 NUMERIC Q.G5. We would like to find out about some of the things people do to help a party or a candidate win an election. During the campaign, did you talk to any people and try to show them why they should vote for or against one of the parties or candidates? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M940809 94PO: R DISPLAY BUTTON/STICKR/SIGN (G6.) COLUMNS 2943 - 2943 NUMERIC Q.G6. Did you wear a campaign button, put a campaign sticker on your car, or place a sign in your window or in front of your house? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M940810 94PO: R GO MEETINGS, RALLIES ETC. (G7.) COLUMNS 2944 - 2944 NUMERIC Q.G7. Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M940811 94PO: R DO (OTHR) WORK FOR CAN/PTY (G8.) COLUMNS 2945 - 2945 NUMERIC Q.G8. Did you do any (other) work for one of the parties or candidates? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M940812 94PO: R CONTRIBUTE TO CANDIDATE (G9.) COLUMNS 2946 - 2946 NUMERIC Q.G9. During an election year people are often asked to make a contribution to support campaigns. Did you give money to an individual candidate running for public office? ----------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA ============================== VAR M940813 94PO: PARTY OF CAND CONTRIBUTION (G9A.) COLUMNS 2947 - 2947 NUMERIC Q.G9a. Which party did that candidate belong to? -------------------------------------------------- 1. REPUBLICAN 3. BOTH 5. DEMOCRATIC 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, 5, 8-9 in Q.G9 ============================== VAR M940814 94PO: R CONTRIBUTE TO PARTY (G10.) COLUMNS 2948 - 2948 NUMERIC Q.G10. Did you give money to a political party during this election year? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M940815 94PO: PARTY OF CONTRIBUTION (G10A.) COLUMNS 2949 - 2949 NUMERIC Q.G10a. To which party did you give money? ------------------------------------------- 1. REPUBLICAN 3. BOTH 5. DEMOCRATIC 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA 0. Inap, 5, 8-9 in Q.G10 ============================== VAR M940816 94PO: R CONTRIB TO ANY OTH GROUP (G11.) COLUMNS 2950 - 2950 NUMERIC Q.G11. Did you give any money to any other group that supported or opposed candidates? ------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA ============================== VAR M940817 94PO: ENVIRONMENT - FED SPENDING (H1A.) COLUMNS 2951 - 2951 NUMERIC Q.H1. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending increased and for which would you like to see spending decreased Q.H1a. Should federal spending on improving and protecting the environment be increased, decreased, or kept about the same? ------------------------------------------------------------ 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940818 94PO: FOREIGN AID -FED SPENDING (H1B.) COLUMNS 2952 - 2952 NUMERIC Q.H1b. Should federal spending on aid to countries of the former Soviet Union be increased, decreased, or kept about the same? ----------------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940819 94PO: SOC SECURITY -FED SPENDING (H1C.) COLUMNS 2953 - 2953 NUMERIC Q.H1c. Social Security? ------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940820 94PO: WELFARE -FED SPENDING (H1D.) COLUMNS 2954 - 2954 NUMERIC Q.H1d. Welfare programs? -------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940821 94PO: AIDS RESEARCH -FED SPENDING (H1E.) COLUMNS 2955 - 2955 NUMERIC Q.H1e. Spending on AIDS research? ----------------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940822 94PO: FOOD STAMPS -FED SPENDING (H1F.) COLUMNS 2956 - 2956 NUMERIC Q.H1f. Should federal spending on food stamps be increased, decreased, or kept about the same? -------------------------------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940823 94PO: PUBL SCHOOLS -FED SPENDING (H1G.) COLUMNS 2957 - 2957 NUMERIC Q.H1g. Public schools? ------------------------ 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940824 94PO: CHILD CARE -FED SPENDING (H1I.) COLUMNS 2958 - 2958 NUMERIC Q.H1i. Child care? -------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940825 94PO: DEAL W/CRIME -FED SPENDING (H1J.) COLUMNS 2959 - 2959 NUMERIC Q.H1j. Dealing with crime? ---------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940826 94PO: HEALTH CARE -FED SPENDING (H1K.) COLUMNS 2960 - 2960 NUMERIC Q.H1k. Health care? --------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940827 94PO: DEFENSE -FED SPENDING (H1M.) COLUMNS 2961 - 2961 NUMERIC Q.H1m. Defense spending? -------------------------- 1. INCREASED 2. SAME 3. DECREASED 8. DON'T KNOW 9. NA ============================== VAR M940828 94PO: WHICH PARTY RAISE TAXES (H2.) COLUMNS 2962 - 2962 NUMERIC Q.H2. Which party is more likely to raise taxes, the Democrats, the Republicans, or wouldn't there be much difference between them? ------------------------------------------------------- 1. DEMOCRATS 3. NOT MUCH DIFFERENCE 5. REPUBLICANS 8. DON'T KNOW 9. NA ============================== VAR M940829 94PO: WHICH PARTY HANDLE ECONOMY (H3A.) COLUMNS 2963 - 2963 NUMERIC Q.H3. Which party do you think would do a better job of handling the nation's economy..., the Democrats, the Republicans, or wouldn't there be much difference between them? Q.H3a. (...HANDLING THE NATION'S ECONOMY?) ---------------------------------------------------------- 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 6. NEITHER 8. DK 9. NA ============================== VAR M940830 94PO: WHICH PARTY HANDLE POLLUTN (H3B.) COLUMNS 2964 - 2964 NUMERIC Q.H3b. ...handling the problem of pollution and protecting the environment? ------------------------------------------------------------ 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 6. NEITHER 8. DK 9. NA ============================== VAR M940831 94PO: WHICH PARTY HANDLE CRIME (H3C.) COLUMNS 2965 - 2965 NUMERIC Q.H3c. ...dealing with the crime problem? ------------------------------------------- 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 6. NEITHER 8. DK 9. NA ============================== VAR M940832 94PO: WHICH PTY HANDLE FOREIGN AF (H3D.) COLUMNS 2966 - 2966 NUMERIC Q.H3d. ...handling foreign affairs? ------------------------------------- 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 6. NEITHER 8. DK 9. NA ============================== VAR M940833 94PO: WHICH PTY FIX HEALTH CARE (H3E.) COLUMNS 2967 - 2967 NUMERIC Q.H3e. ...making health care more affordable? ----------------------------------------------- 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 6. NEITHER 8. DK 9. NA ============================== VAR M940834 94PO: WHICH PARTY REFORM WELFARE (H3F.) COLUMNS 2968 - 2968 NUMERIC Q.H3f. ...reforming the welfare system? ----------------------------------------- 1. DEMOCRATS 3. NO DIFFERENCE 5. REPUBLICANS 6. NEITHER 8. DK 9. NA ============================== VAR M940835 94PO: CLINTON EVER MADE R ANGRY (H4A.) COLUMNS 2969 - 2969 NUMERIC Q.H4. Think about Bill Clinton. Has Bill Clinton--because of the kind of person he is, or because of somethign he has done--ever made you feel: Q.H4a. angry? ----------------------------------------------------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M940836 94PO: CLINTON EVER MADE R HOPEUFL (H4B.) COLUMNS 2970 - 2970 NUMERIC Q.H4b. hopeful? ----------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M940837 94PO: CLINTON EVER MADE R AFRAID (H4C.) COLUMNS 2971 - 2971 NUMERIC Q.H4c. afraid? ---------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M940838 94PO: CLINTON EVER MADE R PROUD (H4D.) COLUMNS 2972 - 2972 NUMERIC Q.H4d. proud? --------------- 1. YES, HAVE FELT 5. NO; NEVER FELT 8. DK 9. NA ============================== VAR M940839 94PO: R SELF-RATED, 7-PT. LIB/CON (H5A.) COLUMNS 2973 - 2973 NUMERIC Q.H5. (RB, P. 5) We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. Q.H5a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF THE ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940840 94PO: IF HAD TO CHOOSE: LIB/CON (H5AA.) COLUMNS 2974 - 2974 NUMERIC Q.H5aa. If you had to choose, would you consider yourself a liberal or a conservative? ------------------------------------------------------------ 1. LIBERAL 3. MODERATE, MIDDLE OF THE ROAD 5. CONSERVATIVE 7. R REFUSES TO CHOOSE 8. DK 9. NA 0. Inap, 1-7, 9 in Q.H5a ============================== VAR M940841 94PO: CLINTON- 7-PT LIB/CON (H5B.) COLUMNS 2975 - 2975 NUMERIC Q.H5b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF THE ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK, (DON'T PROBE) 9. NA 0. Inap, 8-9 in Q.H5aa ============================== VAR M940842 94PO: CRTAIN ABT CLINTON LIB/CON (H5B1.) COLUMNS 2976 - 2976 NUMERIC Q.H5b1. How certain are you of Bill Clinton's position on this scale? Very certain, pretty certain, or not very certain? ---------------------------------------------------------- 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DON'T KNOW 9. NA 0. Inap, 8-9 in Q.H5aa; 8-9 in Q.H5b ============================== VAR M940843 94PO: HSE DEM 7-PT LIB/CON (H5C.) COLUMNS 2977 - 2977 NUMERIC Q.H5c. (Where would you place ) (NAME #31, 33 OR 35)? ------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF THE ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK, DON'T PROBE 9. NA 0. Inap, 24 in V17 (No Democratic candidate); 8-9 in Q.H5aa ============================== VAR M940844 94PO: CRTAIN ABT HSE D LIB/CON (H5C1.) COLUMNS 2978 - 2978 NUMERIC Q.H5c1. How certain are you of (NAME #31, 33 OR 35) position on this scale? Very certain, pretty certain, or not very certain? --------------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DON'T KNOW 9. NA 0. Inap, 24 in V17 (No Democratic candidate) 8-9 in Q.H5aa; 8-9 in Q.H5c ============================== VAR M940845 94PO: HSE REP 7-PT LIB/CON (H5D.) COLUMNS 2979 - 2979 NUMERIC Q.H5d. Where would you place (NAME #32, 34 OR 36) (Republican House candidate) on this scale? -------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF THE ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK, (DON'T PROBE) 9. NA 0. Inap, 14 in V17 (No Republican candidate); 8-9 in Q.H5aa ============================== VAR M940846 94PO: CRTAIN ABT HSE REP LIB/CON (H5D1.) COLUMNS 2980 - 2980 NUMERIC Q.H5d1. How certain are you of (NAME #32, 34 OR 36) position on this scale? Very certain, pretty certain, or not very certain? --------------------------------------------------------- 1. VERY CERTAIN 3. PRETTY CERTAIN 5. NOT VERY CERTAIN 8. DON'T KNOW 9. NA 0. Inap, 14 in V17 (No Republican candidate) 8-9 in Q.H5aa; 8-9 in Q.H5d ============================== VAR M940847 94PO: DEM PTY 7-PT LIB/CON (H5E.) COLUMNS 2981 - 2981 NUMERIC Q.H5e. And still on the scale, where would you place the Democratic Party? ---------------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF THE ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK, (DON'T PROBE) 9. NA 0. Inap, 8-9 in Q.H5aa ============================== VAR M940848 94PO: REP PTY 7-PT LIB/CON (H5F.) COLUMNS 2982 - 2982 NUMERIC Q.H5f. Where would you place the Republican Party? ---------------------------------------------------- 1. EXTREMELY LIBERAL 2. LIBERAL 3. SLIGHTLY LIBERAL 4. MODERATE; MIDDLE OF THE ROAD 5. SLIGHTLY CONSERVATIVE 6. CONSERVATIVE 7. EXTREMELY CONSERVATIVE 8. DK, (DON'T PROBE) 9. NA 0. Inap, 8-9 in Q.H5aa ============================== VAR M940901 94PO: U.S. RIGHT/WRONG TRACK (J1.) COLUMNS 2983 - 2983 NUMERIC Q.J1. (Not using the booklet) Do you feel things in this country are generally going in the right direction, or do you feel things have pretty seriously gotten off on the wrong track? ----------------------------------------------------------- 1. RIGHT DIRECTION 5. WRONG TRACK 8. DON'T KNOW 9. NA ============================== VAR M940902 94PO: R BETTR/WRSE OFF THAN YR AGO (J2.) COLUMNS 2984 - 2984 NUMERIC Q.J2. We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are better off or worse off financially than you were a year ago? ----------------------------------------------------------- 1. BETTER OFF 3. SAME (VOLUNTEERED) 5. WORSE OFF 8. DK 9. NA ============================== VAR M940903 94PO: R MUCH BTTR/WRS PAST YR (J2A/J2B.) COLUMNS 2985 - 2985 NUMERIC Q.J2a. Is that much better off or somewhat better off? Q.J1b. Is that much worse off or somewhat worse off? -------------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. SAME 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in Q.J2a/J1b ============================== VAR M940904 94PO: R BETTR/WRSE OFF YR FROM NOW (J3.) COLUMNS 2986 - 2986 NUMERIC Q.J3. Now looking ahead, do you think that a year from now you (and your family living here) will be better off financially, worse off, or just about the same as now? --------------------------------------------------------- 1. BETTER YEAR FROM NOW 3. SAME 5. WORSE YEAR FROM NOW 8. DK 9. NA ============================== VAR M940905 94PO: R MUCH BTTR/WRS NEXT YR (J3A/J3B.) COLUMNS 2987 - 2987 NUMERIC Q.J3a. (Is that much better off or somewhat better off?) Q.J3b. (Is that much worse off or somewhat worse off?) ---------------------------------------------------------- 1. MUCH BETTER 2. SOMEWHAT BETTER 3. SAME 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in Q.J3 ============================== VAR M940906 94PO: TAXES HIGHER/LOWER IN 1993? (J4.) COLUMNS 2988 - 2988 NUMERIC Q.J4. Would you say that the federal income taxes you paid for 1993 were higher, about the same, or lower than the federal income taxes you paid for 1992? ------------------------------------------------------------ 1. HIGHER 3. SAME 5. LOWER 8. DK 9. NA ============================== VAR M940907 94PO: MCH HIGHR/LOWR TAX 1993 (J4A/J4B.) COLUMNS 2989 - 2989 NUMERIC Q.J4a. Would you say they went up a lot or a little? Q.J4b. Would you say they went down a lot or a little? -------------------------------------------------------- 1. A LOT UP 2. A LITTLE UP 3. SAME 4. A LITTLE DOWN 5. A LOT DOWN 8. DK 9. NA 0. Inap, 8-9 in Q.J4 ============================== VAR M940908 94PO: ECONOMY BETTER/WORSE PAST YR (J5.) COLUMNS 2990 - 2990 NUMERIC Q.J5. How about the economy in the country as a whole. Would you say that over the past year the nation's economy has gotten better, stayed about the same, or gotten worse? ---------------------------------------------------------- 1. GOTTEN BETTER 3. STAYED THE SAME 5. GOTTEN WORSE 8. DK 9. NA ============================== VAR M940909 94PO: ECON MUCH B/W PAST YR (J5A/J5B.) COLUMNS 2991 - 2991 NUMERIC Q.J5a. (Would you say much better or somewhat better?) Q.J5b. (Would you say much worse or somewhat worse?) -------------------------------------------------------- Note: Parenthesis around the follow-up question allows the interviewer not to read the parenthesized text when R gives the answer without being prompted. 1. MUCH BETTER 2. SOMEWHAT BETTER 3. STAYED THE SAME 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in Q.J5 ============================== VAR M940910 94PO: ECONOMY BETTER/WORSE NEXT YR (J6.) COLUMNS 2992 - 2992 NUMERIC Q.J6. What about the next 12 months? Do you expect the economy to get better, get worse or stay about the same? ---------------------------------------------------------- 1. GET BETTER 3. STAY THE SAME 5. GET WORSE 8. DEPENDS; DK 9. NA ============================== VAR M940911 94PO: POLICY MAKE ECON BETTR/WORSE (J7.) COLUMNS 2993 - 2993 NUMERIC Q.J7. Over the past year would you say that the economic policies of the federal government have made the nation's economy better, worse, or haven't they made much difference either way? ----------------------------------------------------------- 1. BETTER 3. HAVEN'T MADE MUCH DIFFERENCE 5. WORSE 8. DON'T KNOW 9. NA ============================== VAR M940912 94PO: PLCY MAKE ECON MUCH B/W (J7A/J7B.) COLUMNS 2994 - 2994 NUMERIC Q.J7a. (Would you say much better or somewhat better?) Q.J7b. (Would you say much worse or somewhat worse?) -------------------------------------------------------- Note: Parenthesis around the follow-up question allows the interviewer not to read the parenthesized text when R gives the answer without being prompted. 1. MUCH BETTER 2. SOMEWHAT BETTER 3. STAYED THE SAME 4. SOMEWHAT WORSE 5. MUCH WORSE 8. DK 9. NA 0. Inap, 8-9 in Q.J7 ============================== VAR M940913 94PO: FAVR 2-PTY/NO PARTY/MULT PTY (J8.) COLUMNS 2995 - 2995 NUMERIC Q.J8. (RB, P. 6) (Looking at page 6 of the booklet) Here is a question about political parties. Which of the opinions on this page do you prefer... ------------------------------------------------------------ 1. ...a continuation of the two party system of Democrats and Republicans? 2. ...elections in which candidates run as individuals without party labels? 3. ...the growth of one or more parties that could effectively challenge the Democrats and Republicans? 8. DK 9. NA ============================== VAR M940914 94PO: SOCIETY ENSURE EQU OPPOR (J9A.) COLUMNS 2996 - 2996 NUMERIC Q.J9. (RB, P. 7) I am going to read several statements. After each one, I would like you to tell me whether you agree strongly with the statement, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly. The first statement is: Q.J9a. Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed. ------------------------------------------------------------ Q.J9a-f are the "Equalitarianism" scale. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M940915 94PO: GONE TOO FAR W/ EQU RIGHTS (J9B.) COLUMNS 2997 - 2997 NUMERIC Q.J9b. We have gone too far in pushing equal rights in this country. -------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M940916 94PO: BIG PROBLEM- NOT EQUAL OPP (J9C.) COLUMNS 2998 - 2998 NUMERIC Q.J9c. One of the big problems in this country is that we don't give everyone an equal chance. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M940917 94PO: BETTER NOT WORR ABT EQU OPP (J9D.) COLUMNS 2999 - 2999 NUMERIC Q.J9d. This country would be better off if we worried less about how equal people are. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M940918 94PO: NOT PROBLEM IF NOT EQU OPP (J9E.) COLUMNS 3000 - 3000 NUMERIC Q.J9e. It is not really that big a problem if some people have more of a chance in life than others. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M940919 94PO: FEWER PROB IF HAD EQUAL OPP (J9F.) COLUMNS 3001 - 3001 NUMERIC Q.J9f. If people were treated more equally in this country we would have many fewer problems. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M940920 94PO: MORAL - CLINTON (J10A.) COLUMNS 3002 - 3002 NUMERIC Q.J10. (RB, P. 8) (Looking at page 8 of the booklet) Think about Bill Clinton. In your opinion, does "moral" describe Bill Clinton extremely well, quite well, not too well, or not well at all? Q.J10a. MORAL? --------------------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT AT ALL WELL 8. DON'T KNOW (DON'T PROBE) 9. NA ============================== VAR M940921 94PO: STRNG LEADERSHIP - CLINTON (J10B.) COLUMNS 3003 - 3003 NUMERIC Q.J10b. Provides strong leadership? ------------------------------------ 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT AT ALL WELL 8. DON'T KNOW (DON'T PROBE) 9. NA ============================== VAR M940922 94PO: CARES ABT YOU - CLINTON (J10C.) COLUMNS 3004 - 3004 NUMERIC Q.J10c. Really cares about people like you? -------------------------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT AT ALL WELL 8. DON'T KNOW (DON'T PROBE) 9. NA ============================== VAR M940923 94PO: KNOWLEDGEABLE - CLINTON (J10D.) COLUMNS 3005 - 3005 NUMERIC Q.J10d. Knowledgeable? ----------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT AT ALL WELL 8. DON'T KNOW (DON'T PROBE) 9. NA ============================== VAR M940924 94PO: GETS THINGS DONE - CLINTON (J10E.) COLUMNS 3006 - 3006 NUMERIC Q.J10e. Gets things done? -------------------------- 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT AT ALL WELL 8. DON'T KNOW (DON'T PROBE) 9. NA ============================== VAR M940925 94PO: RAISE TAX TO REDUCE DEFCIT? (K1A.) COLUMNS 3007 - 3007 NUMERIC Q.K1. (RB, P. 9) (Please turn to page 9 of the booklet) Here are three statements about taxes and the budget deficit. Please tell me whether you agree or disagree with each: Q.K1a. We need to reduce the federal budget deficit, even if that means ordinary people will have to pay more in taxes. Do you agree strongly, agree somewhat, disagree somewhat, or disagree strongly? ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. DISAGREE SOMEWHAT 4. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M940926 94PO: CUT HLTH/EDUC- REDUCE DEFIC (K1B.) COLUMNS 3008 - 3008 NUMERIC Q.K1b. We need to reduce the federal budget deficit, even if that means spending less money for health and education. (Do you agree strongly, agree somewhat, disagree somewhat, or disagree strongly?) ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. DISAGREE SOMEWHAT 4. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M940927 94PO: INCR HLTH/EDUC- INCR TAXES (K1C.) COLUMNS 3009 - 3009 NUMERIC Q.K1c. We need to spend more money on health and education, even if that means ordinary people will have to pay more in taxes. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. DISAGREE SOMEWHAT 4. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M940928 94PO: 7PT WOMEN- EQUAL ROLE (K2A.) COLUMNS 3010 - 3010 NUMERIC Q.K2. (RB, P. 10) (Turn to page 10 of the booklet) Recently there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. Suppose these people are at one end of a scale, at point 1. Others feel that a woman's place is in the home. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. Q.K2a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 1. WOMEN AND MEN SHOULD HAVE AN EQUAL ROLE 2. 3. 4. 5. 6. 7. A WOMAN'S PLACE IS IN THE HOME 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940929 94PO: 7PT DEFENSE SPENDING (K3A.) COLUMNS 3011 - 3011 NUMERIC Q.K3. (RB, P. 11) (Please turn to page 11 of the booklet) Some people believe that we should spend much less money for defense. (Suppose these people are at one end of the scale, at point number 1.) Others feel that defense spending should be greatly increased. (Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, or 6.) Q.K3a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. GREATLY DECREASE DEFENSE SPENDING 2. 3. 4. 5. 6. 7. GREATLY INCREASE DEFENSE SPENDING 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940930 94PO: 7PT JOB/STANDARD OF LIVING (K4A.) COLUMNS 3012 - 3012 NUMERIC Q.K4. (RB, P. 13) Some people feel the government in Washington should see to it that every person has a job and a good standard of living. Others think the government should just let each person get ahead on their own. Q.K4a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940931 94PO: CLINTON 7PT JOB/STAND LIVG (K4B.) COLUMNS 3013 - 3013 NUMERIC Q.K4b. (RB, STILL ON P. 12) Where would you place Bill Clinton on this scale? --------------------------------------------------------- 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K4a ============================== VAR M940932 94PO: HSE DEM 7PT JOB/STAND LIVG (K4C.) COLUMNS 3014 - 3014 NUMERIC Q.K4c. (Where would you place ) (NAME #31, 33 OR 35)? ------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 8. DON'T KNOW 9. NA 0. Inap, 24 in V17; 0, 8-9 in Q.K4b ============================== VAR M940933 94PO: HSE REP 7PT JOB/STAND LIVG (K4D.) COLUMNS 3015 - 3015 NUMERIC Q.K4d. (NAME #32, 34 OR 36)? ----------------------------------------------------------- 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 8. DON'T KNOW 9. NA 0. Inap, 14 in V17; 0, 8-9 in Q.K4a ============================== VAR M940934 94PO: DEM PTY 7PT JOB/STAND LIVG (K4E.) COLUMNS 3016 - 3016 NUMERIC Q.K4e. the Democratic Party? ------------------------------ 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K4a ============================== VAR M940935 94PO: REP PTY 7PT JOB/STAND LIVG (K4F.) COLUMNS 3017 - 3017 NUMERIC Q.K4f. the Republican Party? ------------------------------ 1. GOVERNMENT SEE TO A JOB AND GOOD STANDARD OF LIVING 2. 3. 4. 5. 6. 7. GOVERNMENT LET EACH PERSON GET AHEAD ON OWN 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K4a ============================== VAR M940936 94PO: 7PT AID TO BLACKS (K5A.) COLUMNS 3018 - 3018 NUMERIC Q.K5. (RB, P. 13) (Please turn to page 13 of the booklet) Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. Others feel that the government should not make any special effort to help blacks because they should help themselves. Q.K5a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. GOVERNMENT SHOULD HELP BLACKS 2. 3. 4. 5. 6. 7. BLACKS SHOULD HELP THEMSELVES 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940937 94PO: CLINTON 7PT AID TO BLACKS (K5B.) COLUMNS 3019 - 3019 NUMERIC Q.K5b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 1. GOVERNMENT SHOULD HELP BLACKS 2. 3. 4. 5. 6. 7. BLACKS SHOULD HELP THEMSELVES 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K5a ============================== VAR M940938 94PO: DEM PTY 7PT AID TO BLACKS (K5C.) COLUMNS 3020 - 3020 NUMERIC Q.K5c. (Where would you place) the Democratic Party? ------------------------------------------------------ 1. GOVERNMENT SHOULD HELP BLACKS 2. 3. 4. 5. 6. 7. BLACKS SHOULD HELP THEMSELVES 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K5a ============================== VAR M940939 94PO: REP PTY 7PT AID TO BLACKS (K5D.) COLUMNS 3021 - 3021 NUMERIC Q.K5d. the Republican Party? ------------------------------ 1. GOVERNMENT SHOULD HELP BLACKS 2. 3. 4. 5. 6. 7. BLACKS SHOULD HELP THEMSELVES 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K5a ============================== VAR M940940 94PO: 7PT SERVICES/SPENDING (K6A.) COLUMNS 3022 - 3022 NUMERIC Q.K6. (RB, P. 14) (Looking at page 14 of the booklet) Some people think the government should provide fewer services, even in areas such as health and education in order to reduce spending. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Q.K6a. Where would you place yourself on this scale, or haven't you thought much about this? ----------------------------------------------------------- 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940941 94PO: CLINTON 7PT SERVICES/SPENDG (K6B.) COLUMNS 3023 - 3023 NUMERIC Q.K6b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K6a ============================== VAR M940942 94PO: HSE DEM 7PT SERVICES/SPENDG (K6C.) COLUMNS 3024 - 3024 NUMERIC Q.K6c. (Where would you place ) (NAME #31, 33 OR 35)? ----------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 8. DON'T KNOW 9. NA 0. Inap, 24 in V17; 0, 8-9 in Q.K6a ============================== VAR M940943 94PO: HSE REP 7PT SERVICES/SPENDG (K6D.) COLUMNS 3025 - 3025 NUMERIC Q.K6d. (NAME #32, 34 OR 36)? ---------------------------------------------------- 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 8. DON'T KNOW 9. NA 0. Inap, 14 in V17; 0, 8-9 in Q.K6a ============================== VAR M940944 94PO: DEM PTY 7PT SERVICES/SPENDG (K6E.) COLUMNS 3026 - 3026 NUMERIC Q.K6e. the Democratic Party? ------------------------------ 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K6a ============================== VAR M940945 94PO: REP PTY 7PT SERVICES/SPENDG (K6F.) COLUMNS 3027 - 3027 NUMERIC Q.K6f. the Republican Party? ------------------------------ 1. GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES; REDUCE SPENDING A LOT 2. 3. 4. 5. 6. 7. GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES; INCREASE SPENDING A LOT 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K6a ============================== VAR M940946 94PO: FAV/OPP CUT WELFRE MORE KIDS (K7.) COLUMNS 3028 - 3028 NUMERIC Q.K7. (Not using the booklet) Some people have proposed that a woman on welfare who has another child not be given an increase in her welfare check. Do you favor or oppose this change in welfare policy? ---------------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DON'T KNOW 9. NA ============================== VAR M940947 94PO: DEGR FAV/OPP EXTRA WELF (K7A/K7B.) COLUMNS 3029 - 3029 NUMERIC Q.K7a. Do you favor this change strongly or not strongly? Q.K7b. Do you oppose this change strongly or not strongly? ------------------------------------------------------------ 1. STRONGLY FAVOR 2. NOT STRONGLY FAVOR 4. NOT STRONGLY OPPOSE 5. STRONGLY OPPOSE 8. DK 9. NA 0. Inap, 8-9 in Q.K7 ============================== VAR M940948 94PO: FAV/OPP 2YR LIMIT WELFARE (K8.) COLUMNS 3030 - 3030 NUMERIC Q.K8. Another proposal is to put a two year limit on how long someone can receive welfare benefits. Do you favor or oppose this two year limit? ----------------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DON'T KNOW 9. NA ============================== VAR M940949 94PO: DEGR FAV/OPP 2YR WELFRE (K8A/K8B.) COLUMNS 3031 - 3031 NUMERIC Q.K8a. Do you favor the two year limit strongly or not strongly? Q.K8b. Do you oppose the two year limit strongly or not strongly? --------------------------------------------------------- 1. STRONGLY FAVOR 2. NOT STRONGLY FAVOR 4. NOT STRONGLY OPPOSE 5. STRONGLY OPPOSE 8. DK 9. NA 0. Inap, 8-9 in Q.K8 ============================== VAR M940950 94PO: 7PT FEDERAL HEALTH INSURNCE (K9A.) COLUMNS 3032 - 3032 NUMERIC Q.K9. (RB, P. 15) (Looking at page 15 of the booklet) There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical expenses for everyone. Others feel that all medical expenses should be paid by individuals, and through private insurance plans like Blue Cross or other company paid plans. Q.K9a. Where would you place yourself on this scale, or haven't you thought much about this? ------------------------------------------------------------ 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DON'T KNOW 9. NA 0. HAVEN'T THOUGHT MUCH ============================== VAR M940951 94PO: CLINTON 7PT FED HEALTH INS (K9B.) COLUMNS 3033 - 3033 NUMERIC Q.K9b. Where would you place Bill Clinton on this scale? ---------------------------------------------------------- 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K9a ============================== VAR M940952 94PO: HSE DEM 7PT FED HEALTH INS (K9C.) COLUMNS 3034 - 3034 NUMERIC Q.K9c. (Where would you place ) (NAME #31, 33 OR 35)? ------------------------------------------------- NOTE: The independent candidate running in VA10 was treated as a Democratic candidate in this variable. 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DON'T KNOW 9. NA 0. Inap, 24 in V17; 0, 8-9 in Q.K9a ============================== VAR M940953 94PO: HSE REP 7PT FED HEALTH INS (K9D.) COLUMNS 3035 - 3035 NUMERIC Q.K9d. (NAME #32, 34 OR 36)? ----------------------------------------------------------- 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DON'T KNOW 9. NA 0. Inap, 14 in V17; 0, 8-9 in Q.K9a ============================== VAR M940954 94PO: DEM PTY 7PT FED HEALTH INS (K9E.) COLUMNS 3036 - 3036 NUMERIC Q.K9e. the Democratic Party? ------------------------------ 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K9a ============================== VAR M940955 94PO: REP PTY 7PT FED HEALTH INS (K9F.) COLUMNS 3037 - 3037 NUMERIC Q.K9f. the Republican Party? ------------------------------ 1. GOVERNMENT INSURANCE PLAN 2. 3. 4. 5. 6. 7. PRIVATE INSURANCE PLAN 8. DON'T KNOW 9. NA 0. Inap, 0, 8-9 in Q.K9a ============================== VAR M941001 94PO: FAV/OPP PREF HIRING BLACKS (L1.) COLUMNS 3038 - 3038 NUMERIC Q.L1. Some people say that because of past discrimination blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it gives blacks advantages they haven't earned. What about your opinion --are you for or against preferential hiring and promotion of blacks? ---------------------------------------------------------- 1. FOR 5. AGAINST 8. DON'T KNOW; REFUSED 9. NA ============================== VAR M941002 94PO: DEGR FAV/OPP PREF HIRG (L1A/L1B.) COLUMNS 3039 - 3039 NUMERIC Q.L1a. Do you favor preference in hiring and promotion strongly or not strongly? Q.L1b. Do you oppose such preference in hiring and promotion strongly or not strongly? -------------------------------------------------------- 1. FAVOR STRONGLY 2. FAVOR NOT STRONGLY 4. OPPOSE NOT STRONGLY 5. OPPOSE STRONGLY 8. DK 9. NA 0. Inap, 8-9 in Q.L1a/b ============================== VAR M941003 94PO: GOVT ROLE-BLACK/WHITE SCHLS (L2.) COLUMNS 3040 - 3040 NUMERIC Q.L2. Some people say that the government in Washington should see to it that white and black children go to the same schools. Others claim that this is not the government's business. Have you been interested enough in this question to favor one side over the other? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M941004 94PO: R OPIN-GOVT BLK/WHIT SCHLS (L2A.) COLUMNS 3041 - 3041 NUMERIC Q.L2a. Do you think the government in Washington should... ------------------------------------------------------------ 1. ...see to it that white and black children go to the same schools? 5. ...stay out of this area as it is not the government's business? 7. OTHER; DEPENDS 8. DK 9. NA 0. Inap, 5, 8-9 in Q.L2 ============================== VAR M941005 94PO: CHANGE IN POSITN OF BLACKS (L3.) COLUMNS 3042 - 3042 NUMERIC Q.L3. In the past few years we have heard a lot about improving the position of black people in this country. How much real change do you think there has been in the position of black people in the past few years; a lot, some, or not much at all? ------------------------------------------------------------ 1. A LOT 3. SOME 5. NOT MUCH AT ALL 8. DON'T KNOW 9. NA ============================== VAR M941006 94PO: KNOWLEDGE - GORE (L4A.) COLUMNS 3043 - 3043 NUMERIC Q.L4. Now we have a set of questions concerning various public figures. We want to see how much information about them gets out to the public from television, newspapers and the like. The first name is Al Gore. What job or political office does he now hold? Q.L4a. AL GORE ----------------------------------------------------------- 1. Correctly identifies Gore as the Vice President 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA ============================== VAR M941007 94PO: KNOWLEDGE - REHNQUIST (L4B.) COLUMNS 3044 - 3044 NUMERIC Q.L4b. William Rehnquist -------------------------- 1. Correctly identifies Rehnquist as Chief Justice of the Supreme Court 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA ============================== VAR M941008 94PO: KNOWLEDGE - YELTSIN (L4C.) COLUMNS 3045 - 3045 NUMERIC Q.L4c. Boris Yeltsin ---------------------- 1. Correctly identifies Yeltsin as President of Russia; leader/top man/head of Russia 5. Identification is incomplete or wrong (incl. leader of Soviet Union or of former Soviet Union) 8. DK; makes no attempt to guess 9. NA ============================== VAR M941009 94PO: KNOWLEDGE - FOLEY (L4D.) COLUMNS 3046 - 3046 NUMERIC Q.L4d. Tom Foley ------------------ 1. Correctly identifies Foley as Speaker of the House of Representatives 5. Identification is incomplete or wrong 8. DK; makes no attempt to guess 9. NA ============================== VAR M941010 94PO: KNOWLDG - CONSTITUTIONALITY (L5.) COLUMNS 3047 - 3047 NUMERIC Q.L5. Who has the final responsibility to decide if a law is constitutional or not...is it the President, the Congress, the Supreme Court, or don't you know? ------------------------------------------------------------ 1. PRESIDENT 2. CONGRESS 3. SUPREME COURT 8. DON'T KNOW 9. NA ============================== VAR M941011 94PO: KNOWLDG - FED JUDGE NOMINAT (L6.) COLUMNS 3048 - 3048 NUMERIC Q.L6. And whose responsibility is it to nominate judges to the Federal Courts...the President, the Congress, the Supreme Court, or don't you know? ---------------------------------------------------------- 1. PRESIDENT 2. CONGRESS 3. SUPREME COURT 8. DON'T KNOW 9. NA ============================== VAR M941012 94PO: PTY CONTROL HSE BEF ELCTION (L7.) COLUMNS 3049 - 3049 NUMERIC Q.L7. Do you happen to know which party had the most members in the House of Representatives in Washington before the election (this/last) month? (IF NECESSARY: Which one?) ------------------------------------------------------------ 1. REPUBLICANS 5. DEMOCRATS 8. NO, DON'T KNOW 9. NA ============================== VAR M941013 94PO: PTY CONTROL SEN BEF ELCTION (L8.) COLUMNS 3050 - 3050 NUMERIC Q.L8. Do you happen to know which party had the most members in the U.S. Senate before the election (this/last) month? (IF NECESSARY: Which one?) ---------------------------------------------------------- 1. REPUBLICANS 5. DEMOCRATS 8. NO, DON'T KNOW 9. NA ============================== VAR M941014 94PO: ABORTION LEGAL WHEN? (L9.) COLUMNS 3051 - 3051 NUMERIC Q.L9. (RB, P. 16) (Please turn to page 16 of the booklet) There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. ------------------------------------------------------------ 1. BY LAW, ABORTION SHOULD NEVER BE PERMITTED 2. THE LAW SHOULD PERMIT ABORTION ONLY IN CASE OF RAPE, INCEST, OR WHEN THE WOMAN'S LIFE IS IN DANGER 3. THE LAW SHOULD PERMIT ABORTION FOR REASONS OTHER THAN RAPE, INCEST, OR DANGER TO THE WOMAN'S LIFE, BUT ONLY AFTER THE NEED FOR THE ABORTION HAS BEEN CLEARLY ESTABLISHED 4. BY LAW, A WOMAN SHOULD ALWAYS BE ABLE TO OBTAIN AN ABORTION AS A MATTER OF PERSONAL CHOICE 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA ============================== VAR M941015 94PO: U.S. POSITION STRNGR/WEAKER (M1.) COLUMNS 3052 - 3052 NUMERIC Q.M1. During the past year, would you say that the United States' position in the world has grown weaker, stayed about the same, or has it grown stronger? ------------------------------------------------------------ 1. WEAKER 3. STAYED THE SAME 5. STRONGER 8. DON'T KNOW 9. NA ============================== VAR M941016 94PO: LIMIT TO U.S.IMMIGRATION (M2.) COLUMNS 3053 - 3053 NUMERIC Q.M2. Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be increased a little, increased a lot, decreased a little, decreased a lot, or left the same as it is now? ----------------------------------------------------------- 1. INCREASE A LITTLE 2. INCREASE A LOT 3. SAME AS NOW 4. DECREASED A LITTLE 5. DECREASED A LOT 8. DK 9. NA ============================== VAR M941017 94PO: PREVENT NUCL WEAPONS - GOAL (M3.) COLUMNS 3054 - 3054 NUMERIC Q.M3. Thinking of our foreign policy--do you think that preventing the spread of nuclear weapons should be a very important, a somewhat important, or not an important foreign policy goal at all for the United States? ------------------------------------------------------------ 1. VERY IMPORTANT 2. SOMEWHAT IMPORTANT 3. NOT IMPORTANT 8. DK 9. NA ============================== VAR M941018 94PO: SPREAD DEMOCRACY - GOAL (M4.) COLUMNS 3055 - 3055 NUMERIC Q.M4. Should helping to bring a democratic form of government to other nations be a very important, a somewhat important, or not an important foreign policy goal at all for the United States? ----------------------------------------------------------- 1. VERY IMPORTANT 2. SOMEWHAT IMPORTANT 3. NOT IMPORTANT 8. DK 9. NA ============================== VAR M941019 94PO: U.S SHOULD STAY HOME (M5.) COLUMNS 3056 - 3056 NUMERIC Q.M5. Do you agree or disagree with this statement: This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world. ------------------------------------------------------------ 1. AGREE 5. DISAGREE 8. DON'T KNOW 9. NA ============================== VAR M941020 94PO: PRAYER IN PUBLIC SCHOOLS (M6.) COLUMNS 3057 - 3057 NUMERIC Q.M6. (RB, P. 17) (Looking at page 17 of the booklet) Which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. ---------------------------------------------------------- 1. BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 2. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 3. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN, AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 4. BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 7. OTHER, SPECIFY: 8. DON'T KNOW 9. NA ============================== VAR M941021 94PO: STR OPIN-PRAY IN PUBL SCHS (M6A.) COLUMNS 3058 - 3058 NUMERIC Q.M6a. Do you favor that choice strongly or not strongly? ----------------------------------------------------------- 1. STRONGLY 5. NOT STRONGLY 8. DK 9. NA 0. Inap, 7-9 in Q.M6 ============================== VAR M941022 94PO: DOES R HAVE HEALTH INS (M7.) COLUMNS 3059 - 3059 NUMERIC Q.M7. (Not using the booklet) Do you presently have some kind of health insurance? ------------------------------------------------------------ INTERVIEWER INSTRUCTION: "HEALTH INSURANCE" INCLUDES MEDICARE AND MEDICAID. 1. YES 5. NO 8. DON'T KNOW 9. NA ============================== VAR M941023 94PO: R SATISFIED W/ HEALTH PLAN (M7A.) COLUMNS 3060 - 3060 NUMERIC Q.M7a. Overall, would you say that you are very satisfied, somewhat satisfied, or somewhat dissatisfied with your health insurance plan? ------------------------------------------------------------ 1. VERY SATISFIED 3. SOMEWHAT SATISFIED 5. SOMEWHAT DISSATISFIED 8. DON'T KNOW 9. NA 0. Inap, 5, 8-9 in Q.M7 ============================== VAR M941024 94PO: R HLTH PLAN SERIOUS PROBL (M7B.) COLUMNS 3061 - 3061 NUMERIC Q.M7b. How big of a problem is that for you? Would you say it's a very serious problem for you, somewhat serious, or not very serious? ---------------------------------------------------------- 1. VERY SERIOUS 3. SOMEWHAT SERIOUS 5. NOT VERY SERIOUS 8. DON'T KNOW 9. NA 0. Inap, 1, 8-9 in Q.M7 ============================== VAR M941025 94PO: CAN R AFFORD HEALTH CARE (M8.) COLUMNS 3062 - 3062 NUMERIC Q.M8. Now, still thinking about health care. Can you (and your family) afford to pay for the health care that you need? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M941026 94PO: R SATISF W/ AVAIL HLTH CARE (M9.) COLUMNS 3063 - 3063 NUMERIC Q.M9. Are you satisfied or dissatisfied with the quality of the health care available to you and your family? ----------------------------------------------------------- 1. SATISFIED 5. DISSATISFIED 8. DK 9. NA ============================== VAR M941027 94PO: R PUT OFF DENTAL/MEDICAL (M10.) COLUMNS 3064 - 3064 NUMERIC Q.M10. During the past year did you (or anyone in your family living here) put off medical or dental treatment because you didn't have the money? -------------------------------------------------------- 1. YES 5. NO 8. DON'T KNOW 9. NA ============================== VAR M941028 94PO: R SATISF W/ U.S. HLTH CARE (M11.) COLUMNS 3065 - 3065 NUMERIC Q.M11. Thinking about our country's health care system as a whole, are you very satisfied, somewhat satisfied, somewhat dissatisfied, or very dissatisfied with this country's health care system? ----------------------------------------------------------- 1. VERY SATISFIED 2. SOMEWHAT SATISFIED 4. SOMEWHAT DISSATISFIED 5. VERY DISSATISFIED 8. DON'T KNOW 9. NA ============================== VAR M941029 94PO: NEW LIFESTY BREAK SOCIETY (N1A.) COLUMNS 3066 - 3066 NUMERIC Q.N1. (RB, P. 18) (Please turn to page 18 of the booklet) Now I am going to read several statements. After each one, I would like you tell me whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement. The first statement is... Q.N1a. The newer lifestyles are contributing to the breakdown of our society. ------------------------------------------------------------ Q.N1a-d Comprise the "Moral Traditionalism" scale. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M941030 94PO: ADJUST MORALS TO CHANGE (N1B.) COLUMNS 3067 - 3067 NUMERIC Q.N1b. The world is always changing and we should adjust our view of moral behavior to those changes. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M941031 94PO: EMPHASIZE TRAD FAMILY TIES (N1C.) COLUMNS 3068 - 3068 NUMERIC Q.N1c. This country would have many fewer problems if there were more emphasis on traditional family ties. ------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M941032 94PO: TOLERATE DIFF MORAL STANDS (N1D.) COLUMNS 3069 - 3069 NUMERIC Q.N1d. We should be more tolerant of people who choose to live according to their own moral standards, even if they are very different from our own. ----------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DON'T KNOW 9. NA ============================== VAR M941033 94PO: HOW OFTEN TRUST GOVT (N2.) COLUMNS 3070 - 3070 NUMERIC Q.N2. People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: How much of the time do you think you can trust the government in Washington to do what is right--just about always, most of the time, or only some of the time? ------------------------------------------------------------ 1. JUST ABOUT ALWAYS 3. MOST OF THE TIME 5. SOME OF THE TIME 7. R VOL: NONE OF THE TIME 8. DK 9. NA ============================== VAR M941034 94PO: FED GOVT WASTE TAXES (N3.) COLUMNS 3071 - 3071 NUMERIC Q.N3. Do you think that people in government waste a lot of the money we pay in taxes, waste some of it, or don't waste very much of it? ----------------------------------------------------------- 1. NOT VERY MUCH 3. SOME 5. A LOT 8. DON'T KNOW 9. NA ============================== VAR M941035 94PO: GOVT RUN BY BIG INTERESTS (N4.) COLUMNS 3072 - 3072 NUMERIC Q.N4. Would you say the government is pretty much run by a few big interests looking out for themselves or that it is run for the benefit of all the people? ------------------------------------------------------------ 1. FOR THE BENEFIT OF ALL 5. FEW BIG INTERESTS 8. DON'T KNOW 9. NA ============================== VAR M941036 94PO: HOW MANY IN GOVT CROOKED (N5.) COLUMNS 3073 - 3073 NUMERIC Q.N5. Do you think that quite a few of the people running the government are crooked, not very many are, or do you think hardly any of them are crooked? ------------------------------------------------------------ 1. HARDLY ANY 3. NOT MANY 5. QUITE A FEW 8. DON'T KNOW 9. NA ============================== VAR M941037 94PO: PUBLIC OFFICIALS DONT CARE (N6A.) COLUMNS 3074 - 3074 NUMERIC Q.N6. (RB, P. 19) Please tell me how much you agree or disagree with these statements. The first is: Q.N6a. Public officials don't care much what people like me think. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941038 94PO: PEOPLE LIKE R HAVE NO SAY (N6B.) COLUMNS 3075 - 3075 NUMERIC Q.N6b. People like me don't have any say about what the government does. --------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941039 94PO: POLIT/GOVT TOO COMPLICATED (N6C.) COLUMNS 3076 - 3076 NUMERIC Q.N6c. Sometimes politics and government seem so complicated that a person like me can't really understand what's going on. --------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941040 94PO: FAV/OPP CLINTON CRIME BILL (N7.) COLUMNS 3077 - 3077 NUMERIC Q.N7. (Not using the booklet) As you may know this summer Congress passed President Clinton's crime bill. Do you favor or oppose this law? ---------------------------------------------------------- 1. FAVOR 5. OPPOSE 8. DON'T KNOW 9. NA ============================== VAR M941041 94PO: FAV/OPP DEATH PENALTY (N8.) COLUMNS 3078 - 3078 NUMERIC Q.N8. Do you favor or oppose the death penalty for persons convicted of murder? ----------------------------------------------------- 1. FAVOR 3. DEPENDS (VOL.) 5. OPPOSE 8. DON'T KNOW 9. NA ============================== VAR M941042 94PO: STR FAV/OPP DEATH PEN (N8A/N8B.) COLUMNS 3079 - 3079 NUMERIC Q.N8a. Do you favor the death penalty for persons convicted of murder strongly or not strongly? Q.N8b. Do you oppose the death penalty for persons convicted of murder strongly or not strongly? ---------------------------------------------------- 1. STRONGLY FAVOR 2. NOT STRONGLY FAVOR 3. DEPENDS 4. NOT STRONGLY OPPOSE 5. STRONGLY OPPOSE 8. DK 9. NA 0. Inap, 8-9 in Q.N8 ============================== VAR M941043 94PO: IS RELIGION IMPORTANT TO R (P1.) COLUMNS 3080 - 3080 NUMERIC Q.P1. Do you consider religion to be an important part of your life, or not? ------------------------------------------------------------ 1. YES, IMPORTANT 5. NO, NOT IMPORTANT 8. DON'T KNOW 9. NA ============================== VAR M941044 94PO: AMT GUIDANCE FROM RELIGION (P2.) COLUMNS 3081 - 3081 NUMERIC Q.P2. Would you say your religion provides some guidance in your day-to-day living, quite a bit of guidance, or a great deal of guidance in your day-to-day life? ----------------------------------------------------------- 1. SOME 2. QUITE A BIT 3. A GREAT DEAL 8. DON'T KNOW 9. NA 0. Inap, 5, 8-9 in Q.P1 ============================== VAR M941045 94PO: HOW OFTEN DOES R PRAY (P3A.) COLUMNS 3082 - 3082 NUMERIC Q.P3. People practice their religion in different ways. Q.P3a. (RB, P. 19) (Looking at page 19 of the booklet) Outside of attending religious services, do you pray several times a day, once a day, a few times a week, once a week or less or never? ------------------------------------------------------------ 1. SEVERAL TIMES A DAY 2. ONCE A DAY 3. FEW TIMES A WEEK 4. ONCE A WEEK OR LESS 5. NEVER 8. DK 9. NA ============================== VAR M941046 94PO: HOW OFTN DOES R READ BIBLE (P3B.) COLUMNS 3083 - 3083 NUMERIC Q.P3b. (RB, still on p. 19) Outside of attending religious services, do you read the Bible several times a day, once a day, a few times a week, once a week or less or never? ----------------------------------------------------------- 1. SEVERAL TIMES A DAY 2. ONCE A DAY 3. FEW TIMES A WEEK 4. ONCE A WEEK OR LESS 5. NEVER 8. DK 9. NA ============================== VAR M941047 94PO: R OPIN- AUTHORITY OF BIBLE (P4.) COLUMNS 3084 - 3084 NUMERIC Q.P4. (RB, P. 20) (Turn to page 20 in the booklet) Which of these statements comes closest to describing your feelings about the Bible? ------------------------------------------------------------ 1. THE BIBLE IS THE ACTUAL WORD OF GOD AND IS TO BE TAKEN LITERALLY, WORD FOR WORD, OR 2. THE BIBLE IS THE WORD OF GOD BUT NOT EVERYTHING IN IT SHOULD BE TAKEN LITERALLY, WORD FOR WORD, OR 3. THE BIBLE IS A BOOK WRITTEN BY MEN AND IS NOT THE WORD OF GOD. 7. OTHER, SPECIFY 8. DON'T KNOW 9. NA ============================== VAR M941048 94PO: BLACKS GOTTEN L.T. DESERVE (P5A.) COLUMNS 3085 - 3085 NUMERIC Q.P5. (RB, P. 21) (Please turn to page 21 in the booklet) In past studies we have asked people why they think white people seem to get more of the good things in life in America--such as better jobs and more money--than black people do. These are some of the reasons given by both blacks and whites. Please tell me r disagree with each reason as to wgree or disagree with each reason as to wgree or disagree wit h each reason as to wgree or disagree wit life. The first statement is... (PROBE AS NECESSARY: Do you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement?) Q.P5a. Over the past few years, blacks have gotten less than they deserve. ------------------------------------------------------------ Q.P5a-P5d COMPRISE THE "RACIAL ATTITUDE" SCALE 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941049 94PO: NO SPECIAL FAVORS - BLACKS (P5B.) COLUMNS 3086 - 3086 NUMERIC Q.P5b. Irish, Italians, Jewish and many other minorities overcame prejudice and worked their way up. Blacks should do the same without any special favors. ---------------------------------------------------------- 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941050 94PO: BLACKS NEED TO TRY HARDER (P5C.) COLUMNS 3087 - 3087 NUMERIC Q.P5c. It's really a matter of some people not trying hard enough; if blacks would only try harder they could be just as well off as whites. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941051 94PO: SLAV/DISCR DIFFIC -BLACKS (P5D.) COLUMNS 3088 - 3088 NUMERIC Q.P5d. Generations of slavery and discrimination have created conditions that make it difficult for blacks to work their way out of the lower class. ------------------------------------------------------------ 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. NA ============================== VAR M941100 94PO: CKPT: CROSS-SECTION /PANEL (X0.) COLUMNS 3089 - 3089 NUMERIC Q.X0. INTERVIEWER CHECKPOINT ------------------------------- 1. CROSS-SECTION (LILAC COVERSHEET) 2. PANEL (TAN COVERSHEET) ============================== VAR M941101 94PO: DOES R ATTEND RELIG SERVICS (X1.) COLUMNS 3090 - 3090 NUMERIC Q. X1. Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.X0 ============================== VAR M941102 94PO: R PART OF DENOMINATION (X1A.) COLUMNS 3091 - 3091 NUMERIC Q.X1a. Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.X0; 1, 8-9 in Q.X1 ============================== VAR M941103 94PO: HOW OFTN ATTEND RELIG SRVCS (X2.) COLUMNS 3092 - 3092 NUMERIC Q.X2. Do you go to religious services every week, almost every week, once or twice a month, a few times a year, or never? ----------------------------------------------------------- 1. EVERY WEEK 2. ALMOST EVERY WEEK 3. ONCE OR TWICE A MONTH 4. A FEW TIMES A YEAR 5. NEVER 8. DK 9. NA 0. Inap, 2 in Q.X0; 1, 5, 8 in Q.X1a ============================== VAR M941104 94PO: RELIG SERVCS 1xWK OR MORE (X2A.) COLUMNS 3093 - 3093 NUMERIC Q.X2a. Would you say you go to religious services once a week or more often than once a week? ---------------------------------------------------------- 1. MORE OFTEN 2. JUST ONCE A WEEK 8. DK 9. NA 0. Inap, 2 in Q.X0; 1, 5, 8-9 in Q.X1a; 2-5, 8-9 in Q.X2 [Q.X3 and Interviewer Checkpoint is not coded] ============================== VAR M941105 94PO: R PROT/CATH/JEWISH/OTH (X3A/X3B.) COLUMNS 3094 - 3094 NUMERIC Q.X3a. Do you mostly attend a place of worship that is Protestant, Roman Catholic, Jewish, or what? Q.X3b. Do you consider yourself Protestant, Roman Catholic, Jewish, or what? -------------------------------------------------------- 1. PROTESTANT 2. CATHOLIC 3. JEWISH 4. ANY OTHER 8. DK 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a ============================== VAR M941106 94PO: R RELIGIOUS DEMONATION (X4.) COLUMNS 3095 - 3096 NUMERIC Q.X4. (What church or denomination is that?) ----------------------------------------------- 01. BAPTIST 02. EPISCOPALIAN/ANGLICAN/CHURCH OF ENGLAND 03. LUTHERAN 04. METHODIST 05. "JUST PROTESTANT" 06. PRESBYTERIAN 07. REFORMED 08. BRETHREN 09. EVANGELICAL UNITED BRETHREN 10. CHRISTIAN OR JUST CHRISTIAN 11. CHRISTIAN SCIENTIST 12. CHURCH (or CHURCHES) OF CHRIST 13. UNITED CHURCH OF CHRIST 14. DISCIPLES OF CHRIST 15. CHURCH OF GOD 16. ASSEMBLY OF GOD 17. CONGREGATIONALIST 18. HOLINESS 19. PENTECOSTAL 20. FRIENDS, QUAKER 21. ORTHODOX, e.g. Greek, Russian, SPECIFY 22. NON-DENOMINATIONAL--PROTESTANT 23. MORMONS 24. JEHOVAH'S WITNESSES 25. LATTER DAY SAINTS 26. UNITARIAN/UNIVERSALIST 26. UNITARIAN/UNIVERSALIST 27. BUDDHIST 28. HINDU 29. MUSLIM/ISLAM 30. NATIVE AMERICAN 31. OTHER, SPECIFY 98. DK 99. NA 00. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b ============================== VAR M941107 94PO: BAPTIST TYPE (X4A.) COLUMNS 3097 - 3097 NUMERIC Q.X4a. With which Baptist group is your church associated? Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group? ------------------------------------------------------------ 1. SOUTHERN 2. AMERICAN BAPTIST U.S.A. 3. AMERICAN BAPTIST ASSOCIATION 4. INDEPENDENT BAPTIST 7. OTHER, SPECIFY 8. DON'T KNOW; "JUST BAPTIST" 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 02-31, 98-99 in Q.X4 ============================== VAR M941108 94PO: BAPTIST LOCAL/LARGER GROUP (X4B.) COLUMNS 3098 - 3098 NUMERIC Q.X4b. Are you affiliated with any larger Baptist group or is this strictly a local church? ------------------------------------------------------------ 1. LOCAL 7. AFFILIATED WITH LARGER GROUP: (SPECIFY) 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 02-31, 98-99 in Q.X4; 1-3, 7-9 in Q.X4a ============================== VAR M941109 94PO: LUTHERAN TYPE (X4C.) COLUMNS 3099 - 3099 NUMERIC Q.X4c. Is this church part of the Evangelical Lutheran Church in America, the Missouri Synod, or some other Lutheran group? -------------------------------------------------------- 1. EVANGELICAL LUTHERAN CHURCH IN AMERICA (formerly Lutheran Church in America, American Lutheran Church) 2. MISSOURI SYNOD 7. OTHER (SPECIFY) 8. DON'T KNOW; "JUST LUTHERAN" 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-02, 04-31, 98-99 in Q.X4 ============================== VAR M941110 94PO: METHODIST TYPE (X4D.) COLUMNS 3100 - 3100 NUMERIC Q.X4d. Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? ------------------------------------------------------------ 1. UNITED METHODIST 2. AFRICAN METHODIST EPISCOPAL (AME) 7. OTHER (SPECIFY) 8. DON'T KNOW; "JUST METHODIST" 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-03, 05-31, 98-99 in Q.X4 ============================== VAR M941111 94PO: PRESBYTERIAN TYPE (X4E.) COLUMNS 3101 - 3101 NUMERIC Q.X4e. Is this the Presbyterian Church in the USA or some other Presbyterian group? ----------------------------------------------------------- 1. PRESBYTERIAN CHURCH IN THE U.S.A. (FORMERLY UNITED PRESBYTERIAN CHURCH) 7. OTHER (SPECIFY) 8. DON'T KNOW; "JUST PRESBYTERIAN" 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-05, 07-31, 98-99 in Q.X4 ============================== VAR M941112 94PO: REFORMED TYPE (X4F.) COLUMNS 3102 - 3102 NUMERIC Q.X4f. Is this the Christian Reformed Church, the Reformed Church in America, or some other Reformed group? ------------------------------------------------------------ 1. CHRISTIAN REFORMED 2. REFORMED CHURCH IN AMERICA 7. OTHER (SPECIFY) 8. DON'T KNOW; "JUST REFORMED" 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-06, 08-31, 98-99 in Q.X4 ============================== VAR M941113 94PO: CHURCH OF BRETHREN TYPE (X4G.) COLUMNS 3103 - 3103 NUMERIC Q.X4g. Is this the Church of the Brethren, the Plymouth Brethren, or what? --------------------------------------------------------- 1. CHURCH OF THE BRETHREN 2. PLYMOUTH BRETHREN 7. OTHER (SPECIFY) 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-07, 09-31, 98-99 in Q.X4 ============================== VAR M941114 94PO: 'CHRISTIAN' TYPE (X4H.) COLUMNS 3104 - 3104 NUMERIC Q.X4h. When you say "Christian" does that mean the denomination called the "Christian Church (Disciples of Christ)", or some other Christian denomination, or do you mean to say "I am just a Christian"? --------------------------------------------------------- 1. DISCIPLES OF CHRIST 2. JUST CHRISTIAN 7. OTHER, CHRISTIAN (SPECIFY) 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-09, 11-31, 98-99 in Q.X4 ============================== VAR M941115 94PO: CHURCH OF CHRIST TYPE (X4I.) COLUMNS 3105 - 3105 NUMERIC Q.X4i. Is this the Church of Christ or the United Church of Christ? ---------------------------------------------------------- 1. CHURCH OF CHRIST 2. UNITED CHURCH OF CHRIST 7. OTHER (SPECIFY) 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-11, 13-31, 98-99 in Q.X4 ============================== VAR M941116 94PO: CHURCH OF GOD TYPE (X4J.) COLUMNS 3106 - 3106 NUMERIC Q.X4j. Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? ------------------------------------------------------------ 1. ANDERSON, IN 2. CLEVELAND, TN 3. IN CHRIST 7. OTHER (SPECIFY) 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-14, 16-31, 98-99 in Q.X4 ============================== VAR M941117 94PO: 'OTHER' SUBGROUPINGS (X4X.) COLUMNS 3107 - 3107 NUMERIC Q.X4x. Text Pointer for Q.X4y ------------------------------- NOTE: Q.X4x and Q.X4y fields are blank. The open-ended responses here have been hand-coded into X7z-R's Religious Affiliation Summary, but the actual responses were deleted. ============================== VAR M941118 94PO: NAME OF 'OTHER' SUBGROUPS (X4Y.) ALPHANUMERIC COLUMNS 3108 - 3108 CHARACTER Q.X4y. Name of Other (Miscellaneous) Denomination --------------------------------------------------- NOTE: Q.X4x and Q.X4y fields are blank. The open-ended responses here have been hand-coded into X7z-R's Religious Affiliation Summary, but the actual responses were deleted. ============================== VAR M941119 94PO: IS CHURCH/DENOM CHRISTIAN (X5.) COLUMNS 3109 - 3109 NUMERIC Q.X5. Is that group Christian? --------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 2-3, 8-9 in Q.X3a/b; 01-30, 98-99 in Q.X4 ============================== VAR M941120 94PO: JEWISH ORTH/CONSRV/REF (X6A/X6B.) COLUMNS 3110 - 3110 NUMERIC Q.X6a. Do you usually attend a synagogue or temple that is Orthodox, Conservative, Reform or what? Q.X6b. Do you consider yourself Orthodox, Conservative, Reform, or what? ------------------------------------------------------------ 1. ORTHODOX 2. REFORM 3. CONSERVATIVE 7. OTHER, SPECIFY: 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 1-2, 4, 8-9 in Q.X3a/b; 5, 8-9 in Q.X5 ============================== VAR M941121 94PO: PROT FUND/EVANG/CHARIS/PENT (X7.) COLUMNS 3111 - 3111 NUMERIC Q.X7. (ASK OF PROTESTANTS, CATHOLICS OR OTHER CHRISTIANS) (RB, P. 22) Which one of these words best describes your kind of Christianity, fundamentalist, evangelical, charismatic or pentecostal, moderate to liberal? ------------------------------------------------------------ 1. FUNDAMENTALIST 2. EVANGELICAL 3. CHARISMATIC/PENTECOSTAL 4. MODERATE TO LIBERAL 5. SOMETHING ELSE (VOLUNTEERED, SPECIFY:) 8. DON'T KNOW 9. NA 0. Inap, 2 in Q.X0; 5, 8-9 in Q.X1a; 3, 9 in Q.X3a/b; 11, 21, 27-30, 98-99 in Q.X4; 5, 8-9 in Q.X5 ============================== VAR M941122 94PO: R'S RELGION - SUMMARY (X7Z.) COLUMNS 3112 - 3114 NUMERIC Q.X7z. Religious Affiliation -- SUMMARY ----------------------------------------- Variable 1122 (X7z) contains the information gathered in questions X3a,b; X4a-y and X5. Users who wish to understand the inner working of this section can write to the NES requesting a copy of the questionnaire. Information collected in the open-ended responses (7 in X4a, X4b, X4c, X4d, X4e, X4f, X4g, X4h, X4i, X4j; open-ended responses for codes 18, 19, 21, 31 in X4) have been hand-copied into this summary variable. 1992 data for 1994 panel respondents have been added to this variable. (Although not to the individual variables X4-X4j, X5a, X6a-b from which the summary was built). * Codes followed by an * were added in 1994. GENERAL PROTESTANT 010. Protestant, no denomination given 020. Non-denominational Protestant 030. Community church 040. Inter-denominational Protestant 099. Christian (NFS); "just Christian" ADVENTIST 100. 7th Day Adventist 109. Adventist (NFS) ANGLICAN 110. Episcopalian; Anglican 111. Independent Anglican, Episcopalian * BAPTIST 120. American Baptist Association 121. American Baptist Churches U.S.A. (inaccurately known as "Northern Baptist") 122. Baptist Bible Fellowship 123. Baptist General Conference 124. Baptist Missionary Association of America 125. Conservative Baptist Association of America 126. General Association of Regular Baptist Churches (G.A.R.B.) 127. National Association of Free Will Baptists (United Free Will Baptist Church) 128. Primitive Baptists 129. National Baptist Convention in the U.S.A. 130. National Baptist Convention of America 131. National Primitive Baptist Convention of the U.S.A. 132. Progressive National Baptist Convention 134. Reformed Baptist (Calvinist) 135. Southern Baptist Convention 147. Fundamental Baptist (no denom. ties) 148. Local (independent) Baptist churches with no denominational ties or links to a national fellowship 149. Baptist (NFS) CONGREGATIONAL 150. United Church of Christ (includes Congregational, Evangelical and Reformed) 155. Congregational Christian EUROPEAN FREE CHURCH (ANABAPTISTS) 160. Church of the Brethren 161. Brethren (NFS) 162. Mennonite Church 163. Moravian Church 164. Old Order Amish 165. Quakers (Friends) 166. Evangelical Covenant Church (not Anabaptist in tradition) 167. Evangelical Free Church (not Anabaptist in tradition) 168. Brethren in Christ 170. Mennonite Brethren HOLINESS 180. Christian and Missionary Alliance (CMA) 181. Church of God (Anderson, IN) 182. Church of the Nazarene 183. Free Methodist Church 184. Salvation Army 185. Wesleyan Church 186. Church of God of Findlay, OH * 199. Holiness (NFS); Church of God (NFS); R not or NA whether R Pentecostal or Charismatic INDEPENDENT-FUNDAMENTALIST 200. Plymouth Brethren 201. Independent Fundamentalist Churches of America 219. Independent-Fundamentalist (NFS) LUTHERAN 220. Evangelical Lutheran Church in America (formerly Lutheran Church in America and The American Lutheran Church); ELCA 221. Lutheran Church--Missouri Synod; LC-MS 222. Wisconsin Evangelical Lutheran Synod; WELS 223. Other Conservative Lutheran 229. Lutheran (NFS) METHODIST 230. United Methodist Church; Evangelical United Brethren 231. African Methodist Episcopal Church 232. African Methodist Episcopal Zion Church 233. Christian Methodist Episcopal Church 234. Primitive Methodist * 249. Methodist (NFS) PENTECOSTAL 250. Assemblies of God 251. Church of God (Cleveland, TN) 252. Church of God (Huntsville, AL) 253. International Church of the Four Square Gospel 254. Pentecostal Church of God 255. Pentecostal Holiness Church 256. United Pentecostal Church International 257. Church of God in Christ (incl. NA whether 258) 258. Church of God in Christ (International) 260. Church of God of the Apostolic Faith 261. Church of God of Prophecy 262. Vineyard Fellowship * 267. Apostolic Pentecostal 268. Spanish Pentecostal 269. Pentecostal (NFS); Church of God (NFS); R not or NA whether R Pentecostal or Chrismatic PRESBYTERIAN 270. Presbyterian Church in the U.S.A. 271. Cumberland Presbyterian Church 272. Presbyterian Church in American (PCA) 275. Evangelical Presbyterian 276. Reformed Presbyterian * 279. Presbyterian (NFS) REFORMED 280. Christian Reformed Church (inaccurately known as "Dutch Reformed") 281. Reformed Church in America 282. Free Hungarian Reformed Church 289. Reformed (NFS) RESTORATIONIST 290. Christian Church (Disciples of Christ) 291. Christian Churches and Churches of Christ 292. Churches of Christ; "Church of Christ" (NFS) 293. Christian Congregation NON-TRADITIONAL PROTESTANTS 300. Christian Scientists 301. Mormons; Latter Day Saints 302. Spiritualists 303. Unitarian; Universalist 304. Jehovah's Witnesses 305. Unity; Unity Church; Christ Church Unity 306. Fundamentalist Adventist (Worldwide Church of God) 309. Non-traditional Protestant (NFS) ROMAN CATHOLIC 400. Roman Catholic JEWISH 500. Jewish, no preference 501. Orthodox 502. Conservative 503. Reformed EASTERN ORTHODOX (GREEK RITE CATHOLIC) 700. Greek Rite Catholic 701. Greek Orthodox 702. Russian Orthodox 703. Rumanian Orthodox 704. Serbian Orthodox 705. Syrian Orthodox 706. Armenian Orthodox 707. Georgian Orthodox 708. Ukranian Orthodox 719. Eastern Orthodox (NFS) NON-CHRISTIAN/NON-JEWISH 720. Muslim; Mohammedan; Islam 721. Buddhist 722. Hindu 723. Bahai 724. American Indian Religions (Native American Religions) 729. Other non-Christian/non-Jewish 790. Religious/ethical cults OTHER/NO RELIGION/MISSING DATA 800. Agnostics 801. Atheists 997. Other 998. DK 999. NA 000. Inap, 2 in Q.X0 and short form in 1992; 5, 8-9 in Q.X1a (none, no preference) ============================== VAR M941123 94PO: CKPT: R CHURCH ATTENDANCE (X8.) COLUMNS 3115 - 3115 NUMERIC Q.X8. INTERVIEWER CHECKPOINT ------------------------------- 1. R ATTENDS CHURCH MORE OFTEN THAN "A FEW TIMES A YEAR" (1-3 in Q.X2) 2. R DOES NOT ATTEND CHURCH (5 in Q.X1; 4-5 in Q.X2) 9. NA HOW OFTEN ATTENDS CHURCH (9 in Q.X2) 0. Inap, 2 in Q.X0 ============================== VAR M941124 94PO: POLITICAL INFO IN CHURCH (X9.) COLUMNS 3116 - 3116 NUMERIC Q.X9. Was information about candidates, parties or political issues made available in your place of worship before the election? -------------------------------------------------------- 1. YES 5. NO 7. (VOL) DON'T ATTEND CHURCH 8. DON'T KNOW (DO NOT PROBE) 9. NA 0. Inap, 2, 9 in Q.X8 ============================== VAR M941125 94PO: DID CLERGY SUPPRT CAND/PTY (X10.) COLUMNS 3117 - 3117 NUMERIC Q.X10. Did the clergy or other church leaders at your place of worship encourage you to vote for a particular candidate or party? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2, 9 in Q.X8; 7, 9 in Q.X9 ============================== VAR M941126 94PO: #1 CLERGY SUPPORT (X10A.) COLUMNS 3118 - 3119 NUMERIC Q.X10a(1). Which candidate? <1st mention> IF R SAYS CAN'T REMEMBER CANDIDATE NAME, PROBE: [Which election or what office? Any others?] ---------------------------------------------------------- REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but party/office level NA (low priority) 98. DON'T KNOW, CAN'T REMEMBER 99. NA 00. Inap, 2, 9 in Q.X8; 7, 9 in Q.X9; 5, 8-9 in Q.X10; 98-99 in Q.X10a; no further mention ============================== VAR M941127 94PO: #2 CLERGY SUPPORT (X10A.) COLUMNS 3120 - 3121 NUMERIC Q.X10a(2). Which candidate? <2nd mention> IF R SAYS CAN'T REMEMBER CANDIDATE NAME, PROBE: [Which election or what office? Any others?] ---------------------------------------------------------- Senate 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but party/office level NA (low priority) 00. Inap, 2 in Q.X8; 7, 9 in Q.X9; 5, 8-9 in Q.X10; 98-99 in Q.X10a; no further mention ============================== VAR M941128 94PO: #3 CLERGY SUPPORT (X10A.) COLUMNS 3122 - 3123 NUMERIC Q.X10a(3). Which candidate? <3rd mention> IF R SAYS CAN'T REMEMBER CANDIDATE NAME, PROBE: [Which election or what office? Any others?] ---------------------------------------------------------- REPUBLICAN CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 12. U.S. Senate candidate, Republican, in state without incumbent 14. U.S. Senate incumbent candidate, Republican 16. U.S. Senate candidate challenger candidate, Republican Governor 52. Gubernatorial candidate, Republican, in state without incumbent 54. Gubernatorial incumbent candidate, Republican 56. Gubernatorial candidate challenger candidate, Republican House 32. U.S. House candidate, Republican, in district without incumbent 34. U.S. House incumbent candidate, Republican 36. U.S. House candidate challenger candidate, Republican 28. Republican Candidate(s)--NA which candidate(s) 29. Other Republican Candidate--any office level DEMOCRATIC CANDIDATES/ORGANIZED SUPPORTERS FOR: Senate 11. U.S. Senate candidate, Democratic, in state without incumbent 13. U.S. Senate incumbent candidate, Democratic 15. U.S. Senate candidate challenger candidate, Democratic Governor 51. Gubernatorial candidate, Democratic, in state without incumbent 53. Gubernatorial incumbent candidate, Democratic 55. Gubernatorial candidate challenger candidate, Democratic House 31. U.S. House candidate, Democratic, in district without incumbent 33. U.S. House incumbent candidate, Democratic 35. U.S. House candidate challenger candidate, Democratic 68. Democratic Candidate(s)--NA which candidate(s) 69. Other Democratic Candidate--any office level PARTY ORGANIZATION MENTIONED AS SUCH 71. Republican Party 75. Democratic Party 79. Other party (only) OTHER 80. Other independent or minor party candidate--any office level 85. Third/other party INDEPENDENT CANDIDATES 50. Gubernatorial candidate, Independent, in state without incumbent 93. Democratic candidate for short-term Senate seat (Tennessee) 94. Republican candidate for short-term Senate seat (Tennessee) 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates 97. Candidate name given but party/office level NA (low priority) 00. Inap, 2 in Q.X8; 7, 9 in Q.X9; 5, 8-9 in Q.X10; 98-99 in Q.X10a; no further mention ============================== VAR M941201 94PO: MONTH OF BIRTH (Y1A.) COLUMNS 3124 - 3125 NUMERIC Q.Y1a. What is the month, day and year of your birth?--MONTH ------------------------------------------------ MONTH was coded (01-12) 98. DK 99. NA; refused ============================== VAR M941202 94PO: YEAR OF BIRTH (Y1B.) COLUMNS 3126 - 3129 NUMERIC Q.Y1b. What is the month, day and year of your birth?--YEAR ------------------------------------------------ Actual YEAR was coded (1880-1978) 9998. DK 9999. NA; refused ============================== VAR M941203 94PO: RECODED AGE (Y1X.) COLUMNS 3130 - 3131 NUMERIC Q.Y1x. Recoded AGE -------------------- Built from Q.12, Q.Y1a and Q.Y1b--not entered by coder. Month and year of R's birth subtracted from month and year of interview. If year of birth was NA or refused (9999 in Q.Y1b), but age of respondent was given by informant in the household listing, then age from household listing was used in Q.Y1x. 18-91 = actual age 99. 99 years or older ============================== VAR M941204 94PO: MARITAL STATUS (Y2.) COLUMNS 3132 - 3132 NUMERIC Q.Y2. Are you married now and living with your (husband/wife) --or are you widowed, divorced, separated, or have you never married? ------------------------------------------------------------ If spouse in nursing home, or works and lives in another city, or family is in process of moving and temporarily holding 2 residences, code 1 is used. 1. MARRIED AND LIVING WITH SPOUSE (OR SPOUSE IN SERVICE) 2. NEVER MARRIED 3. DIVORCED 4. SEPARATED 5. WIDOWED 7. PARTNERS NOT MARRIED (VOL.) 8. DK 9. NA ============================== VAR M941205 94PO: CKPT: CROSS-SECTION/PANEL (Y2A.) COLUMNS 3133 - 3133 NUMERIC Q.Y2a. INTERVIEWER CHECKPOINT ------------------------------- 1. CROSS-SECTION (LILAC COVERSHEET) (2 in V2) 2. PANEL (TAN COVERSHEET) (1 in V2; 0 in Q.Y3a-Y3c, Q.Y3e-Y3xx; 96 in Q.Y3, Q.Y3d) ============================== VAR M941206 94PO: HIGHEST GRADE OF EDUCATION (Y3.) COLUMNS 3134 - 3135 NUMERIC Q.Y3. What is the highest grade of school or year of college you have completed? ------------------------------------------------------- Code Actual GRADE was coded (00-17), except: 96. Inap, 2 in Q.Y2a 98. DK 99. NA ============================== VAR M941207 94PO: R GET HS DIPLOMA OR EQUIV (Y3A.) COLUMNS 3136 - 3136 NUMERIC Q.Y3a. Did you get a high school diploma or pass a high school equivalency test? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y2a; 13-17, 98-99 in Q.Y3 ============================== VAR M941208 94PO: HIGHEST DEGREE OF EDUCATN (Y3B.) COLUMNS 3137 - 3138 NUMERIC Q.Y3b. What is the highest degree that you have earned? --------------------------------------------------------- 01. Bachelor's degree: BS, BA, AB, AB in TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS in CE, BS in CHE, BS in ED, BS in LS, JCB, LITB, SB, STB, BD 02. Master's degree: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS in LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 03. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 04. LLB, JD 05. MD, DDS, DVM, MVS, DSC, DO (Doctor of Osteopathy) 06. JDC, STD, THD 07. Associate Degree, AA 96. No degree earned 98. DK 99. NA 00. Inap, 2 in Q.Y2a; 00-12, 98-99 in Q.Y3 ============================== VAR M941209 94PO: R'S EDUCATION - SUMMARY (Y3X.) COLUMNS 3139 - 3140 NUMERIC Q.Y3x. SUMMARY: R's Education ------------------------------- Built from Q.Y3, Q.Y3a and Q.Y3b For panel respondents the data from 1992 was copied here. 01. 8 grades or less and no diploma or equivalency (0-8 in Q.Y3; 5 in Q.Y3a) 02. 9-11 grades, no further schooling (incl. 12 yrs. without diploma or equivalency) (9-12 in Q.Y3 and 5 in Q.Y3a) 03. High school diploma, or equivalency test (1 in Q.Y3a) 04. More than 12 years of schooling, no higher degree (13-17 in Q.Y3 and 96 in Q.Y3b) 05. Junior or community college level degrees (AA degrees) (07 in Q.Y3b) 06. BA level degrees; 17+ years, no advanced degree (01 in Q.Y3b) 07. Advanced degree, including LLB (02-06 in Q.Y3b) 98. DK (98 in Q.Y3; 8 in Q.Y3a; 98 in Q.Y3b) 99. NA (99 in Q.Y3; 9-12 in Q.Y3 and 9 in Q.Y3a; 13-17 in Q.Y3 and 99 in Q.Y3b) 00. Inap, 2 in Q.Y2a and short form in 1992 ============================== VAR M941210 94PO: CKPT: MARRIED/PARTNERED (Y3C.) COLUMNS 3141 - 3141 NUMERIC Q.Y3c. INTERVIEWER CHECKPOINT ------------------------------- 1. R IS MARRIED OR LIVING WITH PARTNER (BOX '1' OR "7" MARKED AT Y2) (1,7 in Q.Y2) 2. ALL OTHERS (2-5, 8-9 in Q.Y2) 0. INAP, 1994 Panel ============================== VAR M941211 94PO: HIGHEST GRADE SPOUSE EDUC (Y3D.) COLUMNS 3142 - 3143 NUMERIC Q.Y3d. What is the highest grade of school or year of college (your husband/your wife/your partner) has completed? ------------------------------------------------------------ Actual GRADE was coded (00-17), except: 96. Inap, 2 in Q.Y2a; 2 in Q.Y3c 98. DK 99. NA ============================== VAR M941212 94PO: SPOUSE GET HS DPLOMA/EQUIV (Y3E.) COLUMNS 3144 - 3144 NUMERIC Q.Y3e. Did (he/she) get a high school diploma or pass a high school equivalency test? --------------------------------------------------------- If YES coded here, Q.Y3d must be coded 12. 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y2a; 2 in Q.Y3c, 13-17, 98-99 in Q.Y3d ============================== VAR M941213 94PO: HIGHST DEGREE SPOUSE EDUC (Y3F.) COLUMNS 3145 - 3146 NUMERIC Q.Y3f. What is the highest degree that (he/she) has earned? ----------------------------------------------------- 01. Bachelor's degree: BS, BA, AB, AB in TH, B ARCH, BCH E, BCL, BCS, BE, B ED, BFA, BJ, B LIT, BSA, BSC, BSED, BSES, BS in CE, BS in CHE, BS in ED, BS in LS, JCB, LITB, SB, STB, BD 02. Master's degree: MS, MSC, MA MAT, MBA, BDS, MED, MFA, EDM, LIM, MPH, MPA, MS in LS, MSW, MUSM, SM, STM, MMUS, MFS, MSLS 03. PHD, LITD, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 04. LLB, JD 05. MD, DDS, DVM, MVS, DSC, DO (Doctor of Osteopathy) 06. JDC, STD, THD 07. Associate Degree, AA 96. No degree earned 98. DK 99. NA 00. Inap, 2 in Q.Y2a; 2 in Q.Y3c; 00-12, 98-99 in Q.Y3d ============================== VAR M941214 94PO: SPOUSE EDUCATN - SUMMARY (Y3XX.) COLUMNS 3147 - 3148 NUMERIC Q.Y3xx. SUMMARY: Spouse's Education ------------------------------------ Built from Q.Y3d, Q.Y3e and Q.Y3f For panel respondents the data from 1992 was copied here. 01. 8 grades or less and no diploma or equivalency (0-8 in Q.Y3d; 5 in Q.Y3e) 02. 9-11 grades, no further schooling (incl. 12 yrs. without diploma or equivalency) (9-12 in Q.Y3d and 5 in Q.Y3e) 03. High school diploma, or equivalency test (1 in Q.Y3e) 04. More than 12 years of schooling, no higher degree (13-17 in Q.Y3d and 96 in Q.Y3f) 05. Junior or community college level degrees (AA degrees) (07 in Q.Y3f) 06. BA level degrees; 17+ years, no advanced degree (01 in Q.Y3f) 07. Advanced degree, including LLB (02-06 in Q.Y3f) 98. DK (98 in Q.Y3d; 8 in Q.Y3e; 98 in Q.Y3f) 99. NA (99 in Q.Y3d; 9-12 in Q.Y3d and 9 in Q.Y3e; 13-17 in Q.Y3d and 99 in Q.Y3f) 00. Inap, 2 in Q.Y3c and short form in 1992 ============================== VAR M941215 94PO: R EMPLOYMENT STATUS (Y4.) COLUMNS 3149 - 3150 NUMERIC Q.Y4. (RB, P. 23) We'd like to know if you are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, (a homemaker), (a student), or what? (MARK ALL THAT APPLY) ---------------------------------------------------------- This variable is precoded by scanning the entire employment section for R (Q.Y4-Y20a) to determine if R has information in more than one work status category; e.g., is both a housewife and working now. 10. WORKING NOW only 15. R volunteers WORKING NOW and RETIRED--currently working 20 hours or more a week 16. PERMANENTLY DISABLED and WORKING NOW, currently working 20 hours or more a week 17. R volunteers WORKING NOW and HOMEMAKER, currently working 20 hours or more a week 18. R volunteers WORKING NOW and STUDENT, currently working 20 hours or more a week 20. TEMPORARILY LAID OFF 40. UNEMPLOYED 50. RETIRED--no other occupation 51. R volunteers RETIRED and WORKING NOW, currently working less than 20 hours a week 60. PERMANENTLY DISABLED--NOT WORKING 61. PERMANENTLY DISABLED and WORKING NOW, currently working less than 20 hours 70. HOMEMAKER--no other occupation 71. R volunteers HOMEMAKER and WORKING NOW, currently working less than 20 hours a week 75. R volunteers HOMEMAKER and STUDENT--no other occupation (0 in 80. STUDENT--no other occupation 81. R volunteers STUDENT and WORKING NOW, currently less than 20 hours a week 99. NA--see supervisor before using ============================== VAR M941216 94PO: R EMPLOYMNT STATUS SUMMARY (Y4X.) COLUMNS 3151 - 3151 NUMERIC Q.Y4x. SUMMARY: R's working status ------------------------------------ Built from Q.Y4--not entered by coders 1. R working now or is retired/permanently disabled/ homemaker/student working 20 hours or more per week (10, 15-18 in Q.Y4) 2. R temporarily laid off (20 in Q.Y4) 4. R unemployed (40 in Q.Y4) 5. R retired and not working 20 hours or more per week (50, 51 in Q.Y4) 6. R permanently disabled and not working 20 hours or more per week (60, 61 in Q.Y4) 7. R homemaker not working 20 hours or more per week (70-71, 75 in Q.Y4) 8. R student not working 20 hours or more per week (80, 81 in Q.Y4) 9. NA (99 in Q.Y4) ============================== VAR M941217 94PO: R UNEMPL- EVR WORK FOR PAY (Y4A.) COLUMNS 3152 - 3152 NUMERIC Q.Y4a. (IF R IS UNEMPLOYED) Have you ever done any work for pay? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 15-18, 20, 50-51, 60-61, 70-71, 75, 80-81, 99 in Q.Y4 ============================== VAR M941218 94PO: R RETIRED- WHEN RETIRED (Y4B.) COLUMNS 3153 - 3154 NUMERIC Q.Y4b. (IF R IS RETIRED) When did you retire? ----------------------------------------------- The last two digits of YEAR were coded (35-94), except: 99. NA 00. Inap, 10, 16-18, 20, 40, 60-61, 70-71, 75, 80-81, 99 in Q.Y4 ============================== VAR M941219 94PO: R DISABL- EVR WORK FOR PAY (Y4C.) COLUMNS 3155 - 3155 NUMERIC Q.Y4c. (IF R IS DISABLED) Have you ever done any work for pay? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 15, 17-18, 20, 40, 50-51, 70-71, 75, 80-81, 99 in Q.Y4 ============================== VAR M941220 94PO: R HMKER/STUD- WORKING NOW? (Y4D.) COLUMNS 3156 - 3156 NUMERIC Q.Y4d. (IF R IS HOMEMAKER OR STUDENT) Are you doing any work for pay at the present time? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y4 ============================== VAR M941221 94PO: R UNEMP HM/ST-WRK PAST 6MO (Y4E.) COLUMNS 3157 - 3157 NUMERIC Q. Y4e. (IF R IS HOMEMAKER OR STUDENT NOT WORKING AT PRESENT) In the last six months, did you do any work for pay? -------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y4; 1, 8-9 in Q.Y4d ============================== VAR M941222 94PO: R WORKING- OCCUPATION (Y5A.) COLUMNS 3158 - 3159 NUMERIC Q.Y5. (R WORKING NOW OR TEMPORARILY LAID OFF) What is your main occupation? (What sort of work do you do?) Q.Y5a. What are your most important activities or duties? ----------------------------------------------------------- The original 3-digit 1980 US Census Occupation variable has been recoded to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code value. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941223 94PO: R WORKING- COLLPSD OCCUP (Y5X-1.) COLUMNS 3160 - 3161 NUMERIC Q. Y5x(1). (R WORKING NOW OR TEMPORARILY LAID OFF) Collapsed 1980 Occupation Code --------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y5a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941224 94PO: R WORKING- PRESTGE SCORE (Y5X-2.) COLUMNS 3162 - 3162 NUMERIC Q.Y5x(2). (R WORKING NOW OR TEMPORARILY LAID OFF) PRESTIGE SCORES (00) ----------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR M941225 94PO: R WORKING- INDUSTRY (Y5B.) COLUMNS 3163 - 3165 NUMERIC Q.Y5b. (R WORKING NOW OR TEMPORARILY LAID OFF) What kind of (business/industry) is that? ---------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941226 94PO: R WORKING FOR SELF/OTHER (Y6.) COLUMNS 3166 - 3166 NUMERIC Q.Y6. (R WORKING NOW OR TEMPORARILY LAID OFF) Do you work for someone else, are you self-employed, or what? ------------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941227 94PO: R WORKING FOR GOVERNMENT (Y6A.) COLUMNS 3167 - 3167 NUMERIC Q.Y6a. (R WORKING NOW OR TEMPORARILY LAID OFF) Are you employed by a federal, state or local government? ------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4; 3, 8-9 in Q.Y6 ============================== VAR M941228 94PO: R WORKING- NO. HOURS (Y7.) COLUMNS 3168 - 3169 NUMERIC Q.Y7. (R WORKING NOW OR TEMPORARILY LAID OFF) About how many hours do you work on your job in the average week? ---------------------------------------------------------- Code actual number of HOURS A WEEK (01-95), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941229 94PO: R WORKNG- WANT MOR/FWR HRS (Y7A.) COLUMNS 3170 - 3170 NUMERIC Q.Y7a. (R WORKING NOW OR TEMPORARILY LAID OFF) Is that more hours than you want to work, fewer hours than you want to work, or generally about right? ----------------------------------------------------------- 1. FEWER 3. ABOUT RIGHT 5. MORE 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941230 94PO: R WORKING- WORRY LOSE JOB (Y8.) COLUMNS 3171 - 3171 NUMERIC Q.Y8. (R WORKING NOW OR TEMPORARILY LAID OFF) How worried are you about losing your job in the near future; a lot, somewhat, or not much at all? ------------------------------------------------------------ 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941231 94PO: CKPT: R WORK NOW OR TLO (Y9.) COLUMNS 3172 - 3172 NUMERIC Q.Y9. INTERVIEWER CHECKPOINT ------------------------------- 1. R IS WORKING NOW 2. R TEMPORARILY LAID OFF 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4 ============================== VAR M941232 94PO: R WORKG- LAID OFF IN PAST (Y9A.) COLUMNS 3173 - 3173 NUMERIC Q.Y9a. (R IS WORKING NOW) Were you out of work or laid off at any time during the last six months? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4; 2 in Q.Y9 ============================== VAR M941233 94PO: R WORKG- PAY/HRS CUT? (Y9B.) COLUMNS 3174 - 3174 NUMERIC Q.Y9b. (R IS WORKING NOW) During the last six months, have you had a reduction in your work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80, 99 in Q.Y4; 2 in Q.Y9 ============================== VAR M941234 94PO: R UN/RET/DIS- OCCUPTN (Y10/Y10A.) COLUMNS 3175 - 3176 NUMERIC Q.Y10. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of work did you do on your last regular job? (What was your occupation?) Q.Y10a. What were your most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code value. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR M941235 94PO: R UN/RET/DIS- COLL OCC (Y10X-1.) COLUMNS 3177 - 3178 NUMERIC Q.Y10x(1). (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Collapsed 1980 Occupation Code ----------------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y10/10a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR M941236 94PO: R UN/RET/DIS- PRESTIGE (Y10X-2.) COLUMNS 3179 - 3179 NUMERIC Q.Y10x(2). (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) PRESTIGE SCORES (00) ----------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR M941237 94PO: R UN/RET/DIS- INDUSTRY (Y10B.) COLUMNS 3180 - 3182 NUMERIC Q.Y10b. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of (business/industry) was that? -------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR M941238 94PO: R UN/RET/DIS- WRK FOR SELF (Y11.) COLUMNS 3183 - 3183 NUMERIC Q.Y11. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Did you work for someone else, were you self-employed, or what? ------------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR M941239 94PO: R UN/RET/DIS-WRK FOR GOVT (Y11A.) COLUMNS 3184 - 3184 NUMERIC Q.Y11a. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Were you employed by a federal, state or local government? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 3, 8-9 in Q.Y11 ============================== VAR M941240 94PO: R UN/RET/DIS-WORK PST 6 MO (Y12.) COLUMNS 3185 - 3185 NUMERIC Q.Y12. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Have you had a job in the past six months? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR M941241 94PO: R UN/RET/DIS- HOURS WORKD (Y12A.) COLUMNS 3186 - 3187 NUMERIC Q.Y12a. (R UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED: IF R HAS WORKED IN THE PAST 6 MONTHS) About how many hours did you work on your job in the average week? ----------------------------------------------------------- Code actual number of HOURS A WEEK (01-70), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 5, 8-9 in Q.Y12 ============================== VAR M941242 94PO: CKPT: UNEMPL OR RET/DISBLD (Y13.) COLUMNS 3188 - 3188 NUMERIC Q.Y13. INTERVIEWER CHECKPOINT: EMPLOYMENT STATUS --------------------------------------------------- 1. R IS UNEMPLOYED 2. R IS RETIRED OR PERMANENTLY DISABLED 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c ============================== VAR M941243 94PO: R RET/DIS- WORKING NOW (Y14.) COLUMNS 3189 - 3189 NUMERIC Q.Y14. (R IS RETIRED OR PERMANENTLY DISABLED) Are you doing any work for pay at the present time? ------------------------------------------------------------ 1. YES 5. NO 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 1 in Q.Y13 ============================== VAR M941244 94PO: R RET/DIS- LOOKNG FOR WORK (Y15.) COLUMNS 3190 - 3190 NUMERIC Q.Y15. (R IS RETIRED OR PERMANENTLY DISABLED) Are you looking for work at the present time? ------------------------------------------------------ 1. YES 5. NO 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 1, 9 in Q.Y14 ============================== VAR M941245 94PO: R UN/RET/D-WORRY FIND JOB (Y15A.) COLUMNS 3191 - 3191 NUMERIC Q.Y15a. (R IS RETIRED OR PERMANENTLY DISABLED) How worried are you about not being able to find a job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y4; 5, 8-9 in Q.Y4a; 5, 8-9 in Q.Y4c; 1, 9 in Q.Y14 ============================== VAR M941246 94PO: R HM/STUD- OCCUPATION (Y16/Y16A.) COLUMNS 3192 - 3193 NUMERIC Q.Y16. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) What kind of work did you do on your last regular job? (What was your occupation?) Q.Y16a. What were your most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code value. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941247 94PO: R HM/STUD- COLL OCCUP (Y16X-1.) COLUMNS 3194 - 3195 NUMERIC Q.Y16x(1). (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) 1980 CENSUS MAJOR GROUP CATEGORIES ------------------------------------------------------------ Built from Q.Y16/16a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941248 94PO: R HM/STUD- PRESTIGE (Y16X-2.) COLUMNS 3196 - 3196 NUMERIC Q.Y16x(2). (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) PRESTIGE SCORES (00) ---------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR M941249 94PO: R HM/STUD- INDUSTRY (Y17.) COLUMNS 3197 - 3199 NUMERIC Q.Y17. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) What kind of (business/industry) was that? ------------------------------------------------------------ Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941250 94PO: R HM/STUD- WORKD FOR SELF (Y18.) COLUMNS 3200 - 3200 NUMERIC Q.Y18. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) Did you work for someone else, were you self-employed, or what? ---------------------------------------------------------- 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941251 94PO: R HM/STUD- WORKD FOR GOVT (Y18A.) COLUMNS 3201 - 3201 NUMERIC Q.Y18a. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) Were you employed by a federal, state or local government? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e; 3, 8-9 in Q.Y18 ============================== VAR M941252 94PO: R HM/STUD- HOURS WORKED (Y19.) COLUMNS 3202 - 3203 NUMERIC Q.Y19. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) About how many hours did you work on your job in the average week? ---------------------------------------------------------- Code actual number of HOURS A WEEK (01-96), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941253 94PO: R HM STUD- LOOKNG FOR WORK (Y20.) COLUMNS 3204 - 3204 NUMERIC Q.Y20. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) Are you looking for work at the present time? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941254 94PO: R HM/STUD- WORRY FIND JOB (Y20A.) COLUMNS 3205 - 3205 NUMERIC Q.Y20a. (R IS HOMEMAKER OR STUDENT NOT CURRENTLY WORKING: IF R HAS WORKED IN PAST 6 MONTHS) How worried are you about not being able to find a job in the near future; a lot, somewhat, or not much at all? ----------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 0. Inap, 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y4; 1, 8-9 in Q.Y4d; 5, 8-9 in Q.Y4e ============================== VAR M941255 94PO: RC1. R'S OCCUPATION STACK COLUMNS 3206 - 3207 NUMERIC Q.RC1. WHAT IS/WAS YOUR MAIN OCCUPATION? WHAT SORT OF WORK DO/DID YOU DO? Q.RC1A. WHAT ARE/WERE YOUR MOST IMPORTANT ACTIVITIES OR DUTIES? ----------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. SEE CENSUS OCCUPATION MASTER CODE. 01. . . 71. 98. DK 99. NA 00. INAP; 70, 75, 80, 99 in Y4; 5, 9 IN Y4a; 5, 9 IN, Y4c ============================== VAR M941256 94PO: RC2. R'S OCCUP HEADINGS COLUMNS 3208 - 3209 NUMERIC Q.RC2. COLLAPSED 1980 OCCUPATION CODE FOR R'S CURRENT/FORMER OCCUPATION ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1980 CENSUS MAJOR GROUP CATEGORIES 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL(001-039) 02. PROFESSIONAL SPECIALITY OCCUPATIONS(040-199) 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS(200-235) 04. SALES OCCUPATIONS (236-285) 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL(286-389) 06. PRIVATE HOUSEHOLD (403-407) 07. PROTECTIVE SERVICE (408-427) 08. SERVICE EXCEPT PROTECTIVE AND HOUSEHOLD(428-469) 09. FARMING, FORESTRY AND FISHING OCCUPATIONS(470-499) 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS(500-699) 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS(700-799) 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS(800-859) 13. HANDLERS, EQUIPMENT CLEARNERS, HELPERS AND LABORERS(860-890) 14. MEMBER OF ARMED FORCES (900) 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M941257 94PO: RC3. R'S PRESTIGE BRACK COLUMNS 3210 - 3210 NUMERIC Q.RC3. COLLAPSED PRESTIGE SCORE -------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN, Y4C; 99 in RC1/1A ============================== VAR M941258 94PO: RC4. R'S INDUSTRY STACK COLUMNS 3211 - 3213 NUMERIC Q.RC4. WHAT DO/DID THEY MAKE OR DO WHERE YOU WORK/ED? WHAT KIND OF BUSINESS OR INDUSTRY IS/WAS THAT? ---------------------------------------------------------- SEE CENSUS INDUSTRY MASTER CODE THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 010. . . 990. 998. DK 999. NA 000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M941259 94PO: RC5. R'S EMPLOYED SELF/OTHER COLUMNS 3214 - 3214 NUMERIC Q.RC5. DO/DID YOU WORK FOR SOMEONE ELSE, ARE/WERE YOU SELF-EMPLOYED, OR WHAT? ----------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION WAS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M941260 94PO: RC6. R'S EMPLOYED BY GOVER COLUMNS 3215 - 3215 NUMERIC Q.RC6. ARE/WERE YOU EMPLOYED BY A FEDERAL, STATE OR LOCAL GOVERNMENT? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF RESPONDENT IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF R IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1. YES 5. NO 8. DK 9. NA 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 3, 8-9 IN Y6; 3, 8-9 IN Y11 ============================== VAR M941261 94PO: RC7. R'S # HOURS WORK A WEEK COLUMNS 3216 - 3217 NUMERIC Q.RC7. ABOUT HOW MANY HOURS DO/DID YOU WORK ON YOUR JOB IN THE AVERAGE WEEK? ---------------------------------------------------------- ACTUAL NUMBER OF HOURS A WEEK THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF RESPONDENT IS CODED 40 IN Y4 AND HAS WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS. FOR Rs WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS (FOR Rs CODED 15,16,51 OR 61 IN Y4, HOURS FROM Y12a RATHER THAN Y7 ARE CODED). 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 5,9 IN Y12 ============================== VAR M941262 94PO: RC8. R'S WORRY LOOSING JOB COLUMNS 3218 - 3218 NUMERIC Q.RC8. HOW WORRIED ARE YOU ABOUT LOSING YOUR JOB/NOT BEING ABLE TO FIND A JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] Rs CODED 40 OR 60 IN Y4 WHO HAVE NEVER WORKED FOR PAY ARE NOT ASKED THIS QUESTION. FOR Rs WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST 6 MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST 6 MONTHS (FOR Rs CODED 15,16,51,61 IN Y4, DATA FROM Y15a RATHER THAN FROM Y8 ARE CODED). 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW, REFUSED 9. NA 0. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C; 1,9 IN Y14 ============================== VAR M941263 94PO: RC9. R'S HAD JOB IN PAST 6 MONTH COLUMNS 3219 - 3219 NUMERIC Q.RC9. HAVE YOU HAD A JOB IN THE PAST SIX MONTHS? ------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. Rs CODED 40 OR 60 IN Y4 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 1. YES 5. NO 8. DK 9. NA 0. INAP; 10,17-18,20,70-71,75,80-81,99 IN Y4; 5,9 IN Y4A; 5,9 IN Y4C ============================== VAR M941264 94PO: RC10. R'S LOOKING FOR JOB NOW COLUMNS 3220 - 3220 NUMERIC Q.RC10. ARE YOU LOOKING FOR WORK AT THE PRESENT TIME? ----------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. Rs CODED 40 OR 60 IN Y4 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 1. YES 5. NO 8. DK 9. NA 0. INAP; 10,17-18,20,70-71,75,80-81,99 IN Y4; 5,9 IN Y4A; Y4A; 5,9 IN Y4C; 1,9 IN Y14 ============================== VAR M941265 94PO: RC11. R'S EVER WORKED FOR PAY COLUMNS 3221 - 3221 NUMERIC Q.RC11. HAVE YOU EVER DONE ANY WORK FOR PAY? -------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL Rs WHO ARE UNEMPLOYED OR PERMANENTLY DISABLED. 1. YES 5. NO 9. NA 0. INAP; 10,15,17-18,20,50-51,70-71,75,80-81,99 IN Y4 ============================== VAR M941301 94PO: CKPT: R MARRIED/PARTNERED (Y21.) COLUMNS 3222 - 3222 NUMERIC Q.Y21. INTERVIEWER CHECKPOINT ------------------------------- 1. R IS MARRIED (OR PARTNERED) (1 or 7 in Q.Y2) 2. ALL OTHERS (0 in Q.Y22-Y37a) ============================== VAR M941302 94PO: SPOUSE EMPLOYMENT STATUS (Y22.) COLUMNS 3223 - 3224 NUMERIC Q.Y22. (RB, STILL ON P. 23) We'd like to know about (your husband/wife/your partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, (a homemaker), (a student), or what? (MARK ALL THAT APPLY) ----------------------------------------------------------- See coding note at Y4 for assignment of 2-digit workstatus code. 10. WORKING NOW only 15. R volunteers WORKING NOW and RETIRED--currently working 20 hours or more a week 16. PERMANENTLY DISABLED and WORKING NOW, currently working 20 hours or more a week 17. R volunteers WORKING NOW and HOMEMAKER, currently working 20 hours or more a week 18. R volunteers WORKING NOW and STUDENT, currently working 20 hours or more a week 20. TEMPORARILY LAID OFF 40. UNEMPLOYED 50. RETIRED--no other occupation 51. R volunteers RETIRED and WORKING NOW, currently working less than 20 hours a week 60. PERMANENTLY DISABLED--NOT WORKING 61. PERMANENTLY DISABLED and WORKING NOW, currently working less than 20 hours 70. HOMEMAKER--no other occupation 71. R volunteers HOMEMAKER and WORKING NOW, currently working less than 20 hours a week 75. R volunteers HOMEMAKER and STUDENT--no other occupation 80. STUDENT--no other occupation 81. R volunteers STUDENT and WORKING NOW, currently less than 20 hours a week 99. NA--see supervisor before using 00. Inap, 2 in Q.Y21 ============================== VAR M941303 94PO: SPOUSE EMP STATUS SUMMARY (Y22X.) COLUMNS 3225 - 3225 NUMERIC Q.Y22x. SUMMARY: Spouse's working status ----------------------------------------- Built from Q.Y22--not entered by coders 1. R working now or is retired/permanently disabled/ homemaker/student working 20 hours or more per week (10, 15-18 in Q.Y22) 2. R temporarily laid off (20 in Q.Y22) 4. R unemployed (40 in Q.Y22) 5. R retired and not working 20 hours or more per week (50, 51 in Q.Y22) 6. R permanently disabled and not working 20 hours or more per week (60, 61 in Q.Y22) 7. R homemaker not working 20 hours or more per week (70-71, 75 in Q.Y22) 8. R student not working 20 hours or more per week (80, 81 in Q.Y22) 9. NA (99 in Q.Y22) 0. Inap, 2 in Q.Y21 ============================== VAR M941304 94PO: SP UNEMP-EVER WRK FOR PAY (Y22A.) COLUMNS 3226 - 3226 NUMERIC Q.Y22a. (IF SPOUSE IS UNEMPLOYED) Has (he/she) ever done any work for pay? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 50-51, 60-61, 70-71, 75, 80-81, 99 in Q.Y22 ============================== VAR M941305 94PO: SP RET- WHEN RETIRED (Y22B.) COLUMNS 3227 - 3228 NUMERIC Q.Y22b. (IF SPOUSE IS RETIRED) When did (he/she) retire? --------------------------------------------------------- Code last two digits of YEAR (58-94), except: 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 16-18, 20, 40, 60-61, 70-71, 75, 80-81, 99 in Q.Y22 ============================== VAR M941306 94PO: SP DIS- EVER WRK FOR PAY (Y22C.) COLUMNS 3229 - 3229 NUMERIC Q.Y22c. (IF SPOUSE IS DISABLED) Has (he/she) ever done any work for pay? ----------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15, 17-18, 20, 40, 50-51, 70-71, 75, 80-81, 99 in Q.Y22 ============================== VAR M941307 94PO: SP HM/STU- WORKING NOW (Y22D.) COLUMNS 3230 - 3230 NUMERIC Q.Y22d. (IF SPOUSE IS HOMEMAKER OR STUDENT) Is (he/she) doing any work for pay at the present time? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y22 ============================== VAR M941308 94PO: SP UNEM HM/ST-WRK PST 6MO (Y22E.) COLUMNS 3231 - 3231 NUMERIC Q.Y22e. In the last six months, did (he/she) do any work for pay? --------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y22; 1, 8-9 in Q.Y22d ============================== VAR M941309 94PO: SP WRKG- OCCUPATION (Y23/Y23A.) COLUMNS 3232 - 3233 NUMERIC Q.Y23. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) What is (his/her) main occupation? (What sort of work does (he/she) do?) Q.Y23a. What are (his/her) most important activities or duties? ------------------------------------------------------------ The orginal 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941310 94PO: SP WRKG- COLL OCCUP (Y23X-1.) COLUMNS 3234 - 3235 NUMERIC Q.Y23x(1). (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Collapsed 1980 Occupation Code -------------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from V1309 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941311 94PO: SP WRKG- PRESTIGE (Y23X-2.) COLUMNS 3236 - 3236 NUMERIC Q.Y23x(2). (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) PRESTIGE SCORES (00) -------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR M941312 94PO: SP WRKG- INDUSTRY (Y23B.) COLUMNS 3237 - 3239 NUMERIC Q.Y23b. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) What kind of (business/industry) is that? ---------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941313 94PO: SP WRKG- WORK FOR SELF (Y24.) COLUMNS 3240 - 3240 NUMERIC Q.Y24. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Does (he/she) work for someone else, is (he/she) self-employed, or what? ---------------------------------------------------------- 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941314 94PO: SP WRKG- WORK FOR GOVT (Y24A.) COLUMNS 3241 - 3241 NUMERIC Q.Y24a. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Is (he/she) employed by a federal, state or local government? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22; 3, 8-9 in Q.Y24 ============================== VAR M941315 94PO: SP WRKG- NO. HOURS (Y25.) COLUMNS 3242 - 3243 NUMERIC Q.Y25. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) About how many hours does (he/she) work on (his/her) job in the average week? ---------------------------------------------------------- Code actual number of HOURS A WEEK (01-96), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941316 94PO: SP WRKG- WANT MOR/FWR HRS (Y25A.) COLUMNS 3244 - 3244 NUMERIC Q.Y25a. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) Is that more hours than (he/she) wants to work, fewer hours than (he/she) wants to work, or generally about right? -------------------------------------------------------- 1. FEWER 3. ABOUT RIGHT 5. MORE 8. DK 9. NA 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941317 94PO: SP WRKG- WORRY LOSE JOB (Y26.) COLUMNS 3245 - 3245 NUMERIC Q.Y26. (SPOUSE WORKING NOW OR TEMPORARILY LAID OFF) How worried is (he/she) about losing (his/her) job in the near future; a lot, somewhat, or not much at all? ---------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941318 94PO: CKPT: SPOUSE WORKING/TLO (Y27.) COLUMNS 3246 - 3246 NUMERIC Q.Y27. INTERVIEWER CHECKPOINT ------------------------------- 1. SPOUSE/PARTNER IS WORKING NOW 2. SPOUSE/PARTNER TEMPORARILY LAID OFF 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22 ============================== VAR M941319 94PO: SP WRKG- LAYOFF PAST 6 MO (Y27A.) COLUMNS 3247 - 3247 NUMERIC Q.Y27a. (SPOUSE IS WORKING NOW) Was (he/she) out of work or laid off at any time during the last six months? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22; 2 in Q.Y27 ============================== VAR M941320 94PO: SP WRKG- PAY/HRS CUT? (Y27B.) COLUMNS 3248 - 3248 NUMERIC Q.Y27b. (SPOUSE IS WORKING NOW) During the last six months, has (he/she) had a reduction in (his/her) work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 40, 50, 60, 70, 75, 80, 99 in Q.Y22; 2 in Q.Y27 ============================== VAR M941321 94PO: SP UN/RET/DIS- OCCUPN (Y28/Y28A.) COLUMNS 3249 - 3250 NUMERIC Q.Y28. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of work did (he/she) do on (his/her) last regular job? (What was (his/her) occupation?) Q.Y28a. What were (his/her) most important activities or duties? ------------------------------------------------------------ The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION MASTER CODE 999. NA 000. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in 1306 ============================== VAR M941322 94PO: SP UN/RET/DIS- COLL OCC (Y28X-1.) COLUMNS 3251 - 3252 NUMERIC Q.Y28x(1). (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Collapsed 1980 Occupation Code ------------------------------------------------------ 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y28/a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c ============================== VAR M941323 94PO: SP UN/RET/DIS- PRESTIGE (Y28X-2.) COLUMNS 3253 - 3253 NUMERIC Q.Y28x(2). (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) PRESTIGE SCORES (00) ------------------------------------------------------ NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR M941324 94PO: SP UN/RET/DIS- INDUSTRY (Y28B.) COLUMNS 3254 - 3256 NUMERIC Q.Y28b. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) What kind of (business/industry) was that? ---------------------------------------------------- Code number pre-coded in green Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c ============================== VAR M941325 94PO: SP UN/RET/DIS-WRK FOR SELF (Y29.) COLUMNS 3257 - 3257 NUMERIC Q.Y29. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Did (he/she) work for someone else, was (he/she) self-employed, or what? ------------------------------------------------------------ 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c ============================== VAR M941326 94PO: SP UN/RET/DIS-WRK FOR GOVT (Y29A.) COLUMNS 3258 - 3258 NUMERIC Q.Y29a. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Was (he/she) employed by a federal, state or local government? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c; 3, 8-9 in Q.Y29 ============================== VAR M941327 94PO: SP UN/RET/DIS-JOB PST 6 MOS (Y30.) COLUMNS 3259 - 3259 NUMERIC Q.Y30. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED) Has (he/she) had a job in the past six months? -------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c ============================== VAR M941328 94PO: SP UN/RET/DIS- HRS WORKED (Y30A.) COLUMNS 3260 - 3261 NUMERIC Q.Y30a. (SPOUSE UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED: IF R HAS WORKED IN THE PAST 6 MONTHS) About how many hours did (he/she) work on (his/her) job in the average week? ------------------------------------------------------------ Code actual number of HOURS A WEEK (04-70), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in 1304; 5, 8-9 in Q.Y22c; 5, 8-9 in Q.Y30 ============================== VAR M941329 94PO: CKPT: SP UNEMPL OR RET/DIS (Y31.) COLUMNS 3262 - 3262 NUMERIC Q.Y31. INTERVIEWER CHECKPOINT: EMPLOYMENT STATUS --------------------------------------------------- 1. SPOUSE/PARTNER IS UNEMPLOYED 2. SPOUSE/PARTNER IS RETIRED OR PERMANENTLY DISABLED 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c ============================== VAR M941330 94PO: SP RET/DIS- WORKING NOW (Y31A.) COLUMNS 3263 - 3263 NUMERIC Q.Y31a. (SPOUSE IS RETIRED OR PERMANENTLY DISABLED) Is (he/she) doing any work for pay at the present time? ------------------------------------------------------- 1. YES 5. NO 9. NA 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c; 1 in Q.Y31 ============================== VAR M941331 94PO: SP RET/DIS- LOOKNG FOR WRK (Y32.) COLUMNS 3264 - 3264 NUMERIC Q.Y32. (SPOUSE IS RETIRED OR PERMANENTLY DISABLED) Is (he/she) looking for work at the present time? ------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c; 1, 9 in Q.Y31a ============================== VAR M941332 94PO: SP UN/RET/D-WORRY FND JOB (Y32A.) COLUMNS 3265 - 3265 NUMERIC Q.Y32a. (SPOUSE IS RETIRED OR PERMANENTLY DISABLED) How worried is (he/she) about not being able to find a job in the near future; a lot, somewhat, or not much at all? --------------------------------------------------------- 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 2 in Q.Y21; 10, 17-18, 20, 70-71, 75, 80-81, 99 in Q.Y22; 5, 8-9 in Q.Y22a; 5, 8-9 in Q.Y22c; 1, 9 in Q.Y31a ============================== VAR M941333 94PO: SP HM/STU- OCCUPATION (Y33/Y33A.) COLUMNS 3266 - 3267 NUMERIC Q.Y33. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) What kind of work did (he/she) do on (his/her) last regular job? (What was (his/her) occupation?) Q.Y33a. What were (his/her) most important activities or duties? ---------------------------------------------------------- The orginal 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION MASTER CODE 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 15-16, 20, 40, 50-51, 60-61, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941334 94PO: SP HM/STU- COLL OCCUP (Y33X-1.) COLUMNS 3268 - 3269 NUMERIC Q.Y33x(1). (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Collapsed 1980 Occupation Code ---------------------------------------------------------- 1980 CENSUS MAJOR GROUP CATEGORIES Built from Q.Y33/a 01. Executive, Administrative and Managerial (001-039) 02. Professional Speciality Occupations (040-199) 03. Technicians and Related Support Occupations (200-235) 04. Sales Occupation (236-285) 05. Administrative Support, including Clerical (286-389) 06. Private Household (403-407) 07. Protective Service (408-427) 08. Service exc. Protective and Household (428-469) 09. Farming, Forestry and Fishing Occupations (470-499) 10. Precision Production, Craft and Repair Occupations (500-699) 11. Machine Operators, Assemblers and Inspectors (700-799) 12. Transportation and Material Moving Occupations (800-859) 13. Handler, Equipment Cleaners, Helpers and Laborers (860-890) 14. Member of Armed Forces (900) 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941335 94PO: SP HM/STU- PRESTIGE (Y33X-2.) COLUMNS 3270 - 3270 NUMERIC Q.Y33x(2). (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) PRESTIGE SCORES (00) --------------------------------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-university Consortium for Political and Social Research, Ann Arbor, MI 48106, December 1991. Prestige Score data have been blanked out to preserve Respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. ============================== VAR M941336 94PO: SP HM/STU- INDUSTRY (Y34.) COLUMNS 3271 - 3273 NUMERIC Q.Y34. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) What kind of (business/industry) was that? ---------------------------------------------------------- Use 3-digit 1980 CENSUS INDUSTRY CODE, except: 998. DK 999. NA 000. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941337 94PO: SP HM/STU- WORKED FOR SELF (Y35.) COLUMNS 3274 - 3274 NUMERIC Q.Y35. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Did (he/she) work for someone else, was (he/she) self-employed, or what? ----------------------------------------------------------- 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941338 94PO: SP HM/STU- WORKED FOR GOVT (Y35A.) COLUMNS 3275 - 3275 NUMERIC Q.Y35a. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Was (he/she) employed by a federal, state or local government? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e; 3, 8-9 in Q.Y35 ============================== VAR M941339 94PO: SP HM/STU- HRS WORKED (Y36.) COLUMNS 3276 - 3277 NUMERIC Q.Y36. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) About how many hours did (he/she) work on (his/her) job in the average week? ------------------------------------------------------------ Code actual number of HOURS A WEEK (03-50), except: 97. 97 or more hours 98. DK 99. NA 00. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941340 94PO: SP HM/STU- LOOKG FOR JOB (Y37.) COLUMNS 3278 - 3278 NUMERIC Q.Y37. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) Is (he/she) looking for work at the present time? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941341 94PO: SP HM/STU- WORRY FIND JOB (Y37A.) COLUMNS 3279 - 3279 NUMERIC Q.Y37a. (SPOUSE IS HOMEMAKER OR STUDENT NOT CURRENTLY EMPLOYED: IF SPOUSE HAS WORKED IN PAST 6 MONTHS) How worried is (he/she) about not being able to find a job in the near future; a lot, somewhat, or not much at all? ------------------------------------------------------------ 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW; REFUSED 9. NA 0. Inap, 2 in Q.Y21; 10, 15-18, 20, 40, 50-51, 60-61, 71, 81, 99 in Q.Y22; 1, 8-9 in Q.Y22d; 5, 8-9 in Q.Y22e ============================== VAR M941342 94PO: RC1001. SPOUSE OCCUPATION STACK COLUMNS 3280 - 3281 NUMERIC Q.RC1001. WHAT IS/WAS HIS/HER (SPOUSE'S/PARTNER'S) MAIN OCCUPATION? WHAT SORT OF WORK DO/DID HE/SHE DO? Q.RC1001A. WHAT ARE/WERE HIS/HER MOST IMPORTANT ACTIVITIES OR DUTIES? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondent's/spouse's/ partner's anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION Master Code. 01. . . 71. 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M941343 94PO: RC1002. SPOUSE OCCUP HEADINGS COLUMNS 3282 - 3283 NUMERIC Q.RC1002. COLLAPSED 1980 OCCUPATION CODE FOR R'S SPOUSE'S/PARTNER'S CURRENT/FORMER OCCUPATION ------------------------------------------------ 1980 CENSUS MAJOR GROUP CATEGORIES THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 01. EXECUTIVE, ADMINISTRATIVE AND MANAGERIAL(001-039) 02. PROFESSIONAL SPECIALITY OCCUPATIONS(040-199) 03. TECHNICIANS AND RELATED SUPPORT OCCUPATIONS(200-235) 04. SALES OCCUPATIONS (236-285) 05. ADMINISTRATIVE SUPPORT, INCLUDING CLERICAL(286-389) 06. PRIVATE HOUSEHOLD (403-407) 07. PROTECTIVE SERVICE (408-427) 08. SERVICE EXCEPT PROTECTIVE AND HOUSEHOLD(428-469) 09. FARMING, FORESTRY AND FISHING OCCUPATIONS(470-499) 10. PRECISION PRODUCTION, CRAFT AND REPAIR OCCUPATIONS(500-699) 11. MACHINE OPERATORS, ASSEMBLERS, AND INSPECTORS(700-799) 12. TRANSPORTATION AND MATERIAL MOVING OCCUPATIONS(800-859) 13. HANDLERS, EQUIPMENT CLEARNERS, HELPERS AND LABORERS(860-890) 14. MEMBER OF ARMED FORCES (900) 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M941344 94PO: RC1003. SPOUSE PRESTIGE BRACK COLUMNS 3284 - 3284 NUMERIC Q.RC1003. COLLAPSED PRESTIGE SCORE ----------------------------------- NOTE: Prestige Scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas, (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. INAP; 70,75,80,99 IN Y4; 5,9 IN Y4A; 5,9 IN, Y4C; 99 in RC1001/1001A ============================== VAR M941345 94PO: RC1004. SPOUSE INDUSTRY STACK COLUMNS 3285 - 3287 NUMERIC Q.RC1004. WHAT DO/DID THEY MAKE OR DO WHERE S/HE WORKS/WORKED? WHAT KIND OF BUSINESS OR INDUSTRY IS/WAS THAT? ------------------------------------------------------- SEE CENSUS INDUSTRY MASTER CODE. THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 010. . . 990. 998. DK 999. NA 000. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M941346 94PO: RC1005. SPOUSE EMPLOYED SELF/OTHER COLUMNS 3288 - 3288 NUMERIC Q.RC1005. DOES/DID S/HE (SPOUSE/PARTNER) WORK FOR SOMEONE ELSE, IS/WAS S/HE SELF-EMPLOYED, OR WHAT? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1. SOMEONE ELSE 2. BOTH SOMEONE ELSE AND SELF 3. SELF ONLY 8. DK 9. NA 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M941347 94PO: RC1006. SPOUSE EMPLOY GOVERNMENT COLUMNS 3289 - 3289 NUMERIC Q.RC1006. IS/WAS S/HE (SPOUSE/PARTNER) EMPLOYED BY A FEDERAL,STATE OR LOCAL GOVERNMENT? ---------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 15 OR 51 (WORKING NOW AND RETIRED) IN Y4, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 40 OR 60 IN Y4 AND HAS EVER WORKED FOR PAY, HIS/HER FORMER OCCUPATION INFORMATION IS USED. IF SPOUSE IS CODED 16 OR 61, CURRENT EMPLOYMENT IS CODED. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 3,8-9 IN Y24; 3,8-9 IN Y29 ============================== VAR M941348 94PO: RC1007. SPOUSE # HOURS WORK A WEEK COLUMNS 3290 - 3291 NUMERIC Q.RC1007. ABOUT HOW MANY HOURS DOES/DID S/HE (SPOUSE/PARTNER) WORK ON HIS/HER JOB IN THE AVERAGE WEEK? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. STUDENTS. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] IF SPOUSE IS CODED 40 IN Y22 AND HAS WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS. FOR SPOUSES WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST SIX MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST SIX MONTHS (FOR SPOUSES CODED 15,16,51 OR 61 IN Y22, HOURS FROM Y30a RATHER THAN Y25 ARE CODED). 01. . . 96. 97. NINETY-SEVEN OR MORE 98. DK 99. NA 00. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 5,8-9 IN Y30 ============================== VAR M941349 94PO: RC1008. SPOUSE WORRY LOOSING JOB COLUMNS 3292 - 3292 NUMERIC Q.RC1008. HOW WORRIED IS S/HE (SPOUSE/PARTNER) ABOUT LOSING HIS/HER JOB/NOT BEING ABLE TO FIND JOB IN THE NEAR FUTURE; A LOT, SOMEWHAT, OR NOT MUCH AT ALL? ------------------------------------------------------------ THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE CURRENTLY EMPLOYED, TEMPORARILY LAID OFF, UNEMPLOYED, RETIRED OR PERMANENTLY DISABLED. [HOMEMAKERS OR STUDENTS WITHOUT CURRENT OUTSIDE EMPLOYMENT ARE CODED 0.] SPOUSES CODED 40 OR 60 IN Y22 WHO HAVE NEVER WORKED FOR PAY ARE NOT ASKED THIS QUESTION. FOR SPOUSES WHO ARE RETIRED OR DISABLED AND HAVE WORKED IN THE PAST 6 MONTHS, THIS VARIABLE DESCRIBES EMPLOYMENT DURING THE PAST 6 MONTHS (FOR SPOUSES CODED 15,16,51,61 IN Y22, DATA FROM Y32a RATHER THAN FROM Y26 ARE CODED). 1. A LOT 3. SOMEWHAT 5. NOT MUCH AT ALL 8. DON'T KNOW, REFUSED 9. NA 0. INAP; 2 IN Y21; 70,75,80,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 1,8-9 IN Y31A ============================== VAR M941350 94PO: RC1009. SPOUSE HAD JOB PAST 6 MO COLUMNS 3293 - 3293 NUMERIC Q.RC1009. HAS S/HE (SPOUSE/PARTNER) HAD A JOB IN THE PAST SIX MONTHS? --------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. SPOUSES CODED 40 OR 60 IN Y22 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 10,17-18,20,70-71,75,80-81,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C ============================== VAR M941351 94PO: RC1010. SPOUSE LOOKING FOR JOB NOW COLUMNS 3294 - 3294 NUMERIC Q.RC1010. IS S/HE (SPOUSE/PARTNER) LOOKING FOR WORK AT THE PRESENT TIME? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE UNEMPLOYED, RETIRED, OR PERMANENTLY DISABLED. SPOUSES CODED 40 OR 60 IN Y22 WHO HAVE NEVER WORKED ARE NOT ASKED THIS QUESTION. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 10,17-18,20,70-71,75,80-81,99 IN Y22; 5,8-9 IN Y22A; 5,8-9 IN Y22C; 1,8-9 IN Y31A ============================== VAR M941352 94PO: RC1011. SPOUSE EVER WORKED FOR PAY COLUMNS 3295 - 3295 NUMERIC Q.RC1011. HAS S/HE (SPOUSE/PARTNER) EVER DONE ANY WORK FOR PAY? ---------------------------------------------------------- THIS VARIABLE COMBINES DATA FROM ALL SPOUSES WHO ARE UNEMPLOYED OR PERMANENTLY DISABLED. 1. YES 5. NO 8. DK 9. NA 0. INAP; 2 IN Y21; 10,17-18,20,50-51,70-71,75, 80-81,99 IN Y22 PERMANENTLY DISABLED. ============================== VAR M941401 94PO: ANYONE IN LABOR UNION (Y38.) COLUMNS 3296 - 3296 NUMERIC Q.Y38. Do you or anyone else in this household belong to a labor union? ------------------------------------------------------------ 1. YES 5. NO 8. DK 9. NA ============================== VAR M941402 94PO: WHO BELNGS TO LABOR UNION (Y38A.) COLUMNS 3297 - 3298 NUMERIC Q.Y38a. Who is it that belongs? (CHECK ALL THAT APPLY) ------------------------------------------------------- 11. (A) RESPONDENT only 13. (C) R's WIFE only 14. (D) R's HUSBAND only 15. (E) SOMEONE ELSE in household only 20. (A,D) RESPONDENT and R's HUSBAND 21. (A,C) RESPONDENT and R's WIFE 22. (A,E) RESPONDENT and SOMEONE ELSE 23. (C,E) R's WIFE and SOMEONE ELSE 26. (D,E) R's HUSBAND and SOMEONE ELSE 31. (A,C,E) RESPONDENT, R's WIFE and SOMEONE ELSE 32. (A,D,E) RESPONDENT, R's HUSBAND and SOMEONE ELSE 99. NA 00. Inap, 5, 8-9 in Q.Y38 ============================== VAR M941403 94PO: CKPT: FAM MEMBERS OVER 14 (Y39.) COLUMNS 3299 - 3299 NUMERIC Q.Y39. INTERVIEWER CHECKPOINT ------------------------------- 1. R ONLY FAMILY MEMBER AGE 14 OR OLDER (0 in Q.Y40) 2. ALL OTHERS ============================== VAR M941404 94PO: FAMILY INCOME (Y40.) COLUMNS 3300 - 3301 NUMERIC Q.Y40. (RB, P. 23) Please look at this page and tell me the letter of the income group that includes the income of all members of your family living here in 1993 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) ------------------------------------------------------------ For respondents who are the only family member age 14 or older, data from v1405 (Q.Y40) have been duplicated here. 01. A. NONE OR LESS THAN $2,999 02. B. $3,000-$4,999 03. C. $5,000-$6,999 04. D. $7,000-$8,999 05. E. $9,000-$9,999 06. F. $10,000-$10,999 07. G. $11,000-$11,999 08. H. $12,000-$12,999 09. J. $13,000-$13,999 10. K. $14,000-$14,999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. Q. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-$89,999 23. AA. $90,000-$104,999 24. BB. $105,000 AND OVER 88. DK 98. R REFUSED TO ANSWER 99. NA ============================== VAR M941405 94PO: R INCOME (Y40A/Y41.) COLUMNS 3302 - 3303 NUMERIC Q.Y40a. (RB, P. 24) Now we are interested in the income that you yourself received in 1993, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1993 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. (IF UNCERTAIN: What would be your best guess?) Q.Y41. (RB, STILL ON P. 23) Please look at page 24 of the booklet and tell me the letter of the income group that includes the income you had in 1993 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ------------------------------------------------------------ 01. A. NONE OR LESS THAN $2,999 02. B. $3,000-$4,999 03. C. $5,000-$6,999 04. D. $7,000-$8,999 05. E. $9,000-$9,999 06. F. $10,000-$10,999 07. G. $11,000-$11,999 08. H. $12,000-$12,999 09. J. $13,000-$13,999 10. K. $14,000-$14,999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. Q. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-$89,999 23. AA. $90,000-$104,999 24. BB. $105,000 AND OVER 88. DK 98. R REFUSED TO ANSWER 99. NA 00. INAP, 98 in Q.Y40 ============================== VAR M941406 94PO: R BELONG TO SOCIAL CLASS (Y42.) COLUMNS 3304 - 3304 NUMERIC Q.Y42. There's been some talk these days about different social classes. Most people say they belong either to the middle class or the working class. Do you ever think of yourself as belonging in one of these classes? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA ============================== VAR M941407 94PO: R'S SOCIAL CLASS (Y42A/Y42B.) COLUMNS 3305 - 3305 NUMERIC Q.Y42a. Which one? (RECORD ONE) Q.Y42b. Well, if you had to make a choice, would you call yourself middle class or working class? ---------------------------------------------------------- 1. MIDDLE CLASS 2. WORKING CLASS 5. Lower class; poor 6. Upper class 7. OTHER (SPECIFY) 8. Refused to accept idea of classes 9. DK; NA 0. Inap, 9 in Q.Y42 ============================== VAR M941408 94PO: 'AVERAGE' SOC CLASS (Y42C/Y42E.) COLUMNS 3306 - 3306 NUMERIC Q.Y42c. Would you say that you are about average middle class or that you are in the upper part of the middle class? Q.Y42e. Would you say that you are about average working class or that you are in the upper part of the working class? ------------------------------------------------------------ 1. AVERAGE WORKING 2. UPPER WORKING 4. AVERAGE MIDDLE 6. UPPER MIDDLE 8. DK 9. NA 0. Inap, 0,5-9 in Q.Y42a ============================== VAR M941409 94PO: SOCIAL CLASS- SUMMARY (Y42X.) COLUMNS 3307 - 3307 NUMERIC Q.Y42x. SUMMARY: R's Social Class ---------------------------------- BUILT AND DISPLAYED Built from Q.Y42a/b and Q.Y42c/e The numbers in parentheses refer to values in variables 1407 and 1408. 0. Lower class (50) 1. Average working (21) 2. Working--NA average or upper (28,29) 3. Upper working (22) 4. Average middle (14) 5. Middle class--NA average or upper (18,19) 6. Upper middle (16) 7. Upper class (60) 8. Refused to accept idea of class (80) 9. NA; DK; other (70,90,00) ============================== VAR M941410 94PO: CLOSE TO SOC CLASS (Y42D/Y42F.) COLUMNS 3308 - 3308 NUMERIC Q.Y42d. Would you say you feel pretty close to middle class people, or that you don't feel much closer to them than to people in other classes? Q.Y42f. Would you say you feel pretty close to working class people, or that you don't feel much closer to them than to people in other classes? ------------------------------------------------------------ 1. CLOSE to middle class 2. CLOSE to working class 4. NOT CLOSE to middle class 5. NOT CLOSE to working class 8. DK 9. NA 0. Inap, 0, 5-9 in Q.Y42a/b ============================== VAR M941411 94PO: CKPT: CROSS SECTION/PANEL (Y43.) COLUMNS 3309 - 3309 NUMERIC Q.Y43. INTERVIEWER CHECKPOINT ------------------------------- 1. CROSS-SECTION (LILAC COVERSHEET) 2. PANEL (TAN COVERSHEET) ============================== VAR M941412 94PO: ETHNIC GROUP #1 (Y43A.) COLUMNS 3310 - 3311 NUMERIC Q.Y43a(1). In addition to being American, what do you consider your main ethnic group or nationality group? <1st mention> ---------------------------------------------------------- If R gives 3 or more nationalities, code the first two listed, EXCEPT when the nationality given in Y43c is not one of the first two listed. THEN, code the nationality listed in Y43c as the 1st mention and the first nationality listed for Y43a as the 2nd mention. See NATIONALITY CODE, except: 97. Other 96. Inap, 2 in Q.Y43; no further mention 98. DK 99. NA 00. NONE; no further mention; "just American" ============================== VAR M941413 94PO: ETHNIC GROUP #2 (Y43A.) COLUMNS 3312 - 3313 NUMERIC Q.Y43a(2). In addition to being American, what do you consider your main ethnic group or nationality group? <2nd mention> ---------------------------------------------------------- If R gives 3 or more nationalities, code the first two listed, EXCEPT when the nationality given in Y43c is not one of the first two listed. THEN, code the nationality listed in Y43c as the 1st mention and the first nationality listed for Y43a as the 2nd mention. See NATIONALITY CODE, except: 97. Other 96. Inap, 2 in Q.Y43; no further mention 98. DK 99. NA 00. NONE; no further mention; "just American" ============================== VAR M941414 94PO: NO. ETHNIC GROUPS GIVEN (Y43B.) COLUMNS 3314 - 3314 NUMERIC Q.Y43b. INTERVIEWER CHECKPOINT ------------------------------- 1. ONE GROUP MENTIONED IN Y43a 5. MORE THAN ONE GROUP MENTIONED IN Y43 0. Inap, 2 in Q.Y43; 00, 98-99 in Q.Y43a ============================== VAR M941415 94PO: CLOSEST ETHNIC GROUP (Y43C.) COLUMNS 3315 - 3316 NUMERIC Q.Y43c. With which of these groups do you most closely identify? ------------------------------------------------------- For panel respondents the data from 1992 was copied here. For R's who mentioned only one group at Y43a, the data from V1412 was copied here. Use same code as Q.Y43a, except: 90. NONE, NEITHER 98. DK 99. NA 00. Inap, 2 in Q.Y43 and "just American", DK/NA, or none in 1992; 00, 98-99 in Q.Y43a ============================== VAR M941416 94PO: BOTH PARENTS BORN IN U.S. (Y44.) COLUMNS 3317 - 3317 NUMERIC Q.Y44. Were both your parents born in this country? ----------------------------------------------------- For panel respondents the data from 1992 was copied here. 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y43 and short form in 1992 ============================== VAR M941417 94PO: CKPT: R MENTION HISPANIC (Y45.) COLUMNS 3318 - 3318 NUMERIC Q.Y45. INTERVIEWER CHECKPOINT ------------------------------- 1. SOME HISPANIC GROUP MENTIONED IN Y43a 2. NO HISPANIC GROUP MENTIONED IN Y43a 0. Inap, 2 in Q.Y43 ============================== VAR M941418 94PO: IS R HISPANIC (Y46.) COLUMNS 3319 - 3319 NUMERIC Q.Y46. Are you of Spanish or Hispanic origin or descent? ---------------------------------------------------------- 1. YES 5. NO 8. DK 9. NA 0. Inap, 2 in Q.Y43 ============================== VAR M941419 94PO: R TYPE HISPANIC (Y46A.) COLUMNS 3320 - 3320 NUMERIC Q.Y46a. (RB, P. 25) Please look at the booklet and tell me which category best describes your Hispanic origin. ------------------------------------------------------------ For panel respondents the data from 1992 was copied here. 1. MEXICAN 2. PUERTO RICAN 3. CUBAN 4. LATIN AMERICAN 5. CENTRAL AMERICAN 6. SPANISH 7. OTHER, SPECIFY 8. DK 9. NA 0. Inap, 2 in Q.Y43 and short form in 1992; 5, 8-9 in Q.Y46 ============================== VAR M941420 94PO: PLACE R WAS BORN (Y47.) COLUMNS 3321 - 3323 NUMERIC Q.Y47. Where were you born? (IF UNITED STATES: Which state?) -------------------------------------------------------- For panel respondents the data from 1992 was copied here. Use STATE AND COUNTRY CODE, except: 998. DK 14 999. NA 1 000. Inap, 2 in Q.Y43 and short form in 1992 ============================== VAR M941421 94PO: PLACE R GREW UP (Y48.) COLUMNS 3324 - 3326 NUMERIC Q.Y48. Where was it that you grew up? (IF UNITED STATES: Which state or states?) ----------------------------------------------------------- For panel respondents the data from 1992 was copied here. If R grew up in more than one state or country, code place where R lived longest, between ages 6 and 18. If NA where longest, use code which best reflects all mentioned places. Use STATE AND COUNTRY CODE, except: 1 998. DK 37 999. NA 1 000. Inap, 2 in Q.Y43 and short form in 1992 ============================== VAR M941422 94PO: WHERE WAS R BROUGHT UP (Y49.) COLUMNS 3327 - 3327 NUMERIC Q.Y49. (RB, P. 26) Looking at this list, please tell me where you were mostly brought up? --------------------------------------------------------- For panel respondents the data from 1992 was copied here. 1. ON A FARM 2. IN THE COUNTRY, NOT ON A FARM 3. IN A SMALL CITY OR TOWN (UNDER 50,000 PEOPLE) 4. IN A MEDIUM-SIZED CITY (50,000 - 100,000) 5. IN A LARGE CITY (100,000 - 500,000) 6. IN A SUBURB OF A LARGE CITY 7. IN A VERY LARGE CITY (OVER 500,000) 8. IN A SUBURB OF A VERY LARGE CITY 9. NA 0. Inap, 2 in Q.Y43 and short form in 1992 ============================== VAR M941423 94PO: HOW LONG IN COMMUNITY (Y50.) COLUMNS 3328 - 3329 NUMERIC Q.Y50. How long have you lived in your present (CITY/TOWN/TOWNSHIP/COUNTY)? ------------------------------------------------ If R gives fraction of year, drop the fraction and code the actual number of years when greater than 2. * 13-23 months and 2 years were coded 2 in Y50. Y50a was asked only of R's who answered 13-23. Code actual number of years (01-89), except: 00. LESS THAN 6 MONTHS 01. 6-12 MONTHS 02. 13-24 MONTHS; 2 YEARS * 89. 89 OR MORE 90. ALL OF LIFE 98. DK 99. NA ============================== VAR M941424 94PO: R LAST COMMUNITY- CITY (Y50A.) COLUMNS 3330 - 3333 NUMERIC Q.Y50a. Where did you live before you moved here? -------------------------------------------------- Use CITY CODE, except: 9996. FOREIGN COUNTRY given 9997. CITY not on list 9998. DK 9999. NA 0000. Inap, 03-90, 98-99 in Q.Y50; 2 in Y50 and more than 23 months ============================== VAR M941425 94PO: R LAST COMMUNITY-ST/CNTRY (Y50A.) COLUMNS 3334 - 3336 NUMERIC Q.Y50a. Where did you live before you moved here?--STATE OR COUNTRY ------------------------------------------------------------ This question was asked to Rs who had lived less than 2 years in the present city/town (Y50). Use STATE AND COUNTRY CODE, except: 998. DK 999. NA 000. Inap, 02-90, 98-99 in Q.Y50; 2 in Y50 and more than 23 months ============================== VAR M941426 94PO: HOW LONG LIVED IN RESIDNCE (Y51.) COLUMNS 3337 - 3338 NUMERIC Q.Y51. How long have you lived in this (house/condo/apartment)? ---------------------------------------- If R gives fraction of year, drop the fraction and code the actual number of years when greater than 2. Code actual number of years (01-89), except: 00. LESS THAN SIX MONTHS 01. 6-12 MONTHS; 1 YEAR 02. 13-24 MONTHS; 2 YEARS 03. 3 YEARS . . 89. 89 OR MORE 90. ALL OF LIFE 98. DK 99. NA ============================== VAR M941427 94PO: R OWN/PAY RENT (Y52.) COLUMNS 3339 - 3339 NUMERIC Q.Y52. (Do you/Does your family) own your home, pay rent, or what? ----------------------------------------------------------- If R states that this is only a seasonal home, or that his/her main residence is elsewhere, make a card with this information but code Y52 as written in interview. 1. OWN 2. RENT 3. Occupancy part of financial arrangement with employer or owner 7. OTHER (SPECIFY) 8. DK 9. NA ============================== VAR M941428 94PO: R HAVE CHILDREN (Y53.) COLUMNS 3340 - 3340 NUMERIC Q.Y53. These are our last few questions. Do you have any children? ----------------------------------------------------------- Include adopted and stepchildren. 1. YES 2. YES, STEPCHILDREN/ADOPTED (VOLUNTEERED) 5. NO 8. DK 9. NA ============================== VAR M941429 94PO: NO. R'S CHILDREN UNDER 6 (Y53A.) COLUMNS 3341 - 3341 NUMERIC Q.Y53a. How many children do you have who are less than 6 years old? ---------------------------------------------------------- Code actual NUMBER (0-6), except: 0. NONE; Inap, 5, 8-9 in Q.Y53 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 9. DK, NA ============================== VAR M941430 94PO: NO. CHILDREN <6 LIVG W/R (Y53B.) COLUMNS 3342 - 3342 NUMERIC Q.53b. How many of them live with you at least half of the time? ----------------------------------------------------------- In a few cases, the number of children under 6 living with R exceeds the number of children R "has" who are under 6 years old (Q.Y53a). The discrepancy appears to stem from R having his/her "own" children in mind in Q.Y53a, but including step children, foster children and grand children being raised in R's household in their answer to Q.Y53b. Code actual NUMBER (0-6), except: 0. NONE; Inap, 5, 8-9 in Q.Y53; 0, 9 in Q.Y53a 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 9. DK, NA ============================== VAR M941431 94PO: NO. R'S CHILDREN 6-18 YRS (Y53C.) COLUMNS 3343 - 3343 NUMERIC Q.Y53c. How many children do you have who are between 6 and 18 years old? ------------------------------------------------------------ Code actual NUMBER (0-6), except: 0. NONE; Inap, 5, 8-9 in Q.Y53 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 9. DK, NA ============================== VAR M941432 94PO: NO. CHILDRN 6-18 LIVG W/R (Y53D.) COLUMNS 3344 - 3344 NUMERIC Q.53d. How many of them live with you at least half of the time? ----------------------------------------------------------- In a few cases, the number of children mentioned here exceeds that given at Q.Y53c. See note at Q.Y53c for explanation. Code actual NUMBER (0-6), except: 0. NONE; Inap, 5, 8-9 in Q.Y53; 0 in Q.Y53c 1. One 2. Two 3. Three 4. Four 5. Five 6. Six 7. Seven or more 9. DK, NA ============================== VAR M941433 94PO: TIME ENDING (Y54.) COLUMNS 3345 - 3348 NUMERIC Q.Y54. EXACT TIME NOW: ------------------------ Code actual HOUR (01-24) and MINUTES (00-59) Convert PM times to 24 HOUR CLOCK 9999. NA ============================== VAR M941434 94PO: R'S GENDER (Z1.) COLUMNS 3349 - 3349 NUMERIC Q.Z1. Respondent's sex is: ----------------------------- 1. MALE 2. FEMALE 9. NA ============================== VAR M941435 94PO: R'S RACE (Z2.) COLUMNS 3350 - 3350 NUMERIC Q.Z2. Respondent's race is: ------------------------------ 1. WHITE 2. BLACK 3. AMERICAN INDIAN OR ALASKAN NATIVE 4. ASIAN OR PACIFIC ISLANDER 9. NA ============================== VAR M941436 94PO: OTHER PERSON AT INTERVIEW (Z3.) COLUMNS 3351 - 3352 NUMERIC Q.Z3. Other persons present at interview were (CHECK MORE THAN ONE BOX IF NECESSARY): ------------------------------------------------------------ 00. NONE (only box checked) 01. CHILDREN UNDER 6 ONLY 02. OLDER CHILDREN ONLY 03. Children under 6 and older children 04. SPOUSE ONLY 05. " and children under 6 06. " and older children 07. " and children under 6 and older children 08. OTHER RELATIVES ONLY 09. " " and children under 6 10. " " and older children 11. " " and children under 6 and older children 12. " " and spouse 13. " " and spouse and children under 6 14. " " and spouse and older children 15. " " and spouse and children under 6 and older children 16. OTHER ADULTS ONLY 17. " " and children under 6 18. " " and older children 19. " " and children under 6 and older children 20. " " and spouse 21. " " and spouse and children under 6 22. " " and spouse and older children 23. " " and spouse and children under 6 and older children 24. " " and other relatives 25. " " and other relatives and children under 6 26. " " and other relatives and older children 27. " " and other relatives and children under 6 and older children 28. " " and other relatives and spouse 29. " " and other relatives and spouse and children under 6 30. Other adults and other relatives and spouse and children under 6 and older children (all boxes checked in interview schedule) 99. NA ============================== VAR M941437 94PO: R'S LEVEL OF COOPERATION (Z4.) COLUMNS 3353 - 3353 NUMERIC Q.Z4. Respondent's cooperation was: -------------------------------------- 1. VERY GOOD 2. GOOD 3. FAIR 4. POOR 5. VERY POOR 9. NA ============================== VAR M941438 94PO: R'S LEVEL OF INFORMATION (Z5.) COLUMNS 3354 - 3354 NUMERIC Q.Z5. Respondent's general level of information about politics and public affairs seemed: -------------------------------------------------------- 1. VERY HIGH 2. FAIRLY HIGH 3. AVERAGE 4. FAIRLY LOW 5. VERY LOW 9. NA ============================== VAR M941439 94PO: R'S APPARENT INTELLIGENCE (Z6.) COLUMNS 3355 - 3355 NUMERIC Q.Z6. Rate R's apparent intelligence: ---------------------------------------- 1. VERY HIGH 2. ABOVE AVERAGE 3. AVERAGE 4. BELOW AVERAGE 5. VERY LOW 9. NA ============================== VAR M941440 94PO: R'S SUSPICIOUSNESS (Z7.) COLUMNS 3356 - 3356 NUMERIC Q.Z7. How suspicious did R seem to be about the study, before the interview? -------------------------------------------------------- 1. NOT AT ALL SUSPICIOUS 3. SOMEWHAT SUSPICIOUS 5. VERY SUSPICIOUS 9. NA ============================== VAR M941441 94PO: R'S INTEREST IN INTERVIEW (Z8.) COLUMNS 3357 - 3357 NUMERIC Q.Z8. Overall, how great was R's interest in the interview? --------------------------------------------------- 1. VERY HIGH 2. ABOVE AVERAGE 3. AVERAGE 4. BELOW AVERAGE 5. VERY LOW 9. NA ============================== VAR M941442 94PO: R'S SINCERITY (Z9.) COLUMNS 3358 - 3358 NUMERIC Q.Z9. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------- 1. COMPLETELY SINCERE 2. USUALLY SINCERE 3. OFTEN SEEMED TO BE INSINCERE 9. NA ============================== VAR M941443 94PO: R REPORT INCOME CORRECTLY (Z11.) COLUMNS 3359 - 3359 NUMERIC Q.Z11. Do you feel R reported income correctly? ------------------------------------------------- [Z10 NOT CODED] 1. YES, THINK R REPORTED CORRECTLY 2. NO, THINK R REPORTED INCORRECTLY 3. R REFUSED INCOME QUESTIONS 5. NO, THINK R REPORTED DISHONESTLY 9. NA ============================== VAR M941444 94PO: ESTIMATE R FAMILY INCOME (Z11A.) COLUMNS 3360 - 3361 NUMERIC Q.Z11a. If possible, give a reasonable estimate of what R's family income is: ------------------------------------------------------------ 01. NONE OR LESS THAN $2,999 02. $3,000-$4,999 03. $5,000-$6,999 04. $7,000-$8,999 05. $9,000-$9,999 06. $10,000-$10,999 07. $11,000-$11,999 08. $12,000-$12,999 09. $13,000-$13,999 10. $14,000-$14,999 11. $15,000-$16,999 12. $17,000-$19,999 13. $20,000-$21,999 14. $22,000-$24,999 15. $25,000-$29,999 16. $30,000-$34,999 17. $35,000-$39,999 18. $40,000-$44,999 19. $45,000-$49,999 20. $50,000-$59,999 21. $60,000-$74,999 22. $75,000 -$89,999 23. $90,000-104,999 24. $105,000 AND OVER 98. IMPOSSIBLE TO ESTIMATE 99. NA 00. Inap, 1, 9 in Q.Z11 ============================== VAR M941445 94PO: IW ENTIRELY IN ENGLISH (Z12.) COLUMNS 3362 - 3362 NUMERIC Q.Z12. Was this interview conducted entirely in English, or was it necessary to translate some (or all) questions into another language? ---------------------------------------------------------- 1. INTERVIEW CONDUCTED ENTIRELY IN ENGLISH 2. SOME (OR ALL) QUESTIONS TRANSLATED INTO ANOTHER LANGUAGE 9. NA (0 in Q.Z12a) ============================== VAR M941446 94PO: OTHER LANGUAGE USED (Z12A.) COLUMNS 3363 - 3363 NUMERIC Q.Z12a. What language? ----------------------- 1. Spanish 7. Other 9. NA 0. Inap, 1, 9 in Q.Z12 ============================== VAR M941447 94PO: #1 REACTION TO INTERVIEW (Z13.) COLUMNS 3364 - 3365 NUMERIC Q.Z13(1). What was R's reaction to interview, after completion or expressed during interview? <1st coded reaction> ----------------------------------------------------- 10. NEGATIVE--GENERAL 11. NEGATIVE--TOO LONG 12. NEGATIVE--TOO COMPLICATED 13. NEGATIVE--BORING/TEDIOUS/REPETITIOUS 15. R WANTED TO STOP BEFORE INTERVIEW COMPLETED. AFTER STARTING THE INTERVIEW R MADE COMMENTS INDICATING SHE/HE REGRETS HAVING AGREED TO BE INTERVIEWED. 20. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS ILL/DEAF/TIRED/HAD BAD EYESIGHT, ETC.; INTERVIEW WAS OBVIOUSLY HARD FOR R. 22. R COMPLAINED AND/OR INTERVIEWER OBSERVED THAT R WAS CONFUSED BY QUESTIONS, "COULDN'T UNDERSTAND THE SCALES", R WAS SLOW READER OR NON-READER; INTERVIEW WAS OBVIOUSLY HARD FOR R. 30. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF KNOWLEDGE OR OWN SUITABILITY FOR INTERVIEW. 31. R EXPRESSED (ESPECIALLY IF REPEATEDLY) DOUBTS/APOLOGIES/EMBARRASSMENT OVER LACK OF POLITICAL KNOWLEDGE: CANDIDATES: NAMES, ELECTION ISSUES; OR OWN LACK OF POLITICAL PARTICIPATION. 40. R WAS AGITATED OR STRESSED BY INTERVIEW PROCESS. 41. R BECAME ANGRY AT INTERVIEW CONTENT. 45. R BECAME CONCERNED ABOUT SAMPLING PURPOSES OR BIAS: "WHY DO YOU COME TO THE OLD FOLKS HOME?" "WHY THIS NEIGHBORHOOD?" "WHY/WHY NOT BLACKS/HISPANICS?" "WHY ME?", ETC. 50. R COULD NOT READ RESPONDENT BOOKLET. 70. R APPEARED TO ENJOY THE INTERVIEW (R WAS "COOPERATIVE"/"INTERESTED"/ "PLEASANT", ETC.) 80. NEUTRAL OR NO FEEDBACK 98. DK 99. NA 00. Inap, no further mention ============================== VAR M941448 94PO: #2 REACTION TO INTERVIEW (Z13.) COLUMNS 3366 - 3367 NUMERIC Q.Z13(2). What was R's reaction to interview, after completion or expressed during interview? <2nd coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941449 94PO: #3 REACTION TO INTERVIEW (Z13.) COLUMNS 3368 - 3369 NUMERIC Q.Z13(3). What was R's reaction to interview, after completion or expressed during interview? <3rd coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941450 94PO: #4 REACTION TO INTERVIEW (Z13.) COLUMNS 3370 - 3371 NUMERIC Q.Z13(4). What was R's reaction to interview, after completion or expressed during interview? <4th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941451 94PO: #5 REACTION TO INTERVIEW (Z13.) COLUMNS 3372 - 3373 NUMERIC Q.Z13(5). What was R's reaction to interview, after completion or expressed during interview? <5th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941452 94PO: #6 REACTION TO INTERVIEW (Z13.) COLUMNS 3374 - 3375 NUMERIC Q.Z13(6). What was R's reaction to interview, after completion or expressed during interview? <6th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941453 94PO: #7 REACTION TO INTERVIEW (Z13.) COLUMNS 3376 - 3377 NUMERIC Q.Z13(7). What was R's reaction to interview, after completion or expressed during interview? <7th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941454 94PO: #8 REACTION TO INTERVIEW (Z13.) COLUMNS 3378 - 3379 NUMERIC Q.Z13(8). What was R's reaction to interview, after completion or expressed during interview? <8th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941455 94PO: #9 REACTION TO INTERVIEW (Z13.) COLUMNS 3380 - 3381 NUMERIC Q.Z13(9). What was R's reaction to interview, after completion or expressed during interview? <9th coded reaction> ----------------------------------------------------- See Q.Z13(1) for coding scheme. ============================== VAR M941456 94PO: #10 REACTION TO INTERVIEW (Z13.) COLUMNS 3382 - 3383 NUMERIC Q.Z13(10). What was R's reaction to interview, after completion or expressed during interview? <10th coded reaction> ------------------------------------------------------ See Q.Z13(1) for coding scheme. ============================== VAR M941457 94PO: #11 REACTION TO INTERVIEW (Z13.) COLUMNS 3384 - 3384 NUMERIC Q.Z13(11). What was R's reaction to interview, after completion or expressed during interview? <11th coded reaction> ------------------------------------------------------ See Q.Z13(1) for coding scheme. ============================== VAR M941458 94PO: #12 REACTION TO INTERVIEW (Z13.) COLUMNS 3385 - 3385 NUMERIC Q.Z13(12). What was R's reaction to interview, after completion or expressed during interview? <12th coded reaction> ------------------------------------------------------ See Q.Z13(1) for coding scheme. ============================== VAR M941501 94PO: V223 CLINTON FT PROBE (B11A.) COLUMNS 3386 - 3386 NUMERIC Q.B11a. PROBE INDICATOR (for Q.B11a) ------------------------------------- USE SAME CODE FOR Q.B11b-B12u 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941502 94PO: V224 PEROT FT PROBE (B11B.) COLUMNS 3387 - 3387 NUMERIC Q.B11b. PROBE INDICATOR (for Q.B11b) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941503 94PO: V225 DOLE FT PROBE (B11C.) COLUMNS 3388 - 3388 NUMERIC Q.B11c. PROBE INDICATOR (for Q.B11c) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941504 94PO: V226 QUAYLE FT PROBE (B11D.) COLUMNS 3389 - 3389 NUMERIC Q.B11d. PROBE INDICATOR (for Q.B11d) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941505 94PO: V227 GORE FT PROBE (B11E.) COLUMNS 3390 - 3390 NUMERIC Q.B11e. PROBE INDICATOR (for Q.B11e) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941506 94PO: V228 JACKSON FT PROBE (B11F.) COLUMNS 3391 - 3391 NUMERIC Q.B11f. PROBE INDICATOR (for Q.B11f) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941507 94PO: V229 HILLARY FT PROBE (B11G.) COLUMNS 3392 - 3392 NUMERIC Q.B11g. PROBE INDICATOR (for Q.B11g) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941508 94PO: V230 C POWELL FT PROBE (B11H.) COLUMNS 3393 - 3393 NUMERIC Q.B11h. PROBE INDICATOR (for Q.B11h) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941509 94PO: V231 SEN DEM FT PROBE (B11K.) COLUMNS 3394 - 3394 NUMERIC Q.B11k. PROBE INDICATOR (for Q.B11k) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 81, 82, 85 in V18 ============================== VAR M941510 94PO: V232 SEN REP FT PROBE (B11M.) COLUMNS 3395 - 3395 NUMERIC Q.B11m. PROBE INDICATOR (for Q.B11m) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 81, 82, 85, 99 in V18 ============================== VAR M941511 94PO: V233 TN SEN DEM FT PROBE (B11N.) COLUMNS 3396 - 3396 NUMERIC Q.B11n. PROBE INDICATOR (for Q.B11n) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 01-53, 55-82, in V13 ============================== VAR M941512 94PO: V234 TN SEN REP FT PROBE (B11P.) COLUMNS 3397 - 3397 NUMERIC Q.B11p. PROBE INDICATOR (for Q.B11p) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 01-53, 55-82 in V13 ============================== VAR M941513 94PO: V235 SEN TNU FT PROBE (B11Q.) COLUMNS 3398 - 3398 NUMERIC Q.B11q. PROBE INDICATOR (for Q.B11q) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 81, 82, 85, 95 in V18 ============================== VAR M941514 94PO: V236 SENTR 1 FT PROBE (B11R.) COLUMNS 3399 - 3399 NUMERIC Q.B11r. PROBE INDICATOR (for Q.B11r) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 12, 21, 55, 65, 95 in V18 ============================== VAR M941515 94PO: V237 SENTR 2 FT PROBE (B11S.) COLUMNS 3400 - 3400 NUMERIC Q.B11s. PROBE INDICATOR (for Q.B11s) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 12, 21, 55, 65, 95 in V18 ============================== VAR M941516 94PO: V238 HSE DEM FT PROBE (B11T.) COLUMNS 3401 - 3401 NUMERIC Q.B11t. PROBE INDICATOR (for Q.B11t) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 24 in V17 ============================== VAR M941517 94PO: V239 HSE REP FT PROBE (B11U.) COLUMNS 3402 - 3402 NUMERIC Q.B11u. PROBE INDICATOR (for Q.B11u) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, 14 in V17 ============================== VAR M941518 94PO: V301 DEM PTY FT PROBE (B12A.) COLUMNS 3403 - 3403 NUMERIC Q.B12a. PROBE INDICATOR (for Q.B12a) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941519 94PO: V302 REP PTY FT PROBE (B12B.) COLUMNS 3404 - 3404 NUMERIC Q.B12b. PROBE INDICATOR (for Q.B12b) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941520 94PO: V303 POL PTIES FT PROBE (B12C.) COLUMNS 3405 - 3405 NUMERIC Q.B12c. PROBE INDICATOR (for Q.B12c) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941521 94PO: V304 HISPANICS FT PROBE (B12D.) COLUMNS 3406 - 3406 NUMERIC Q.B12d. PROBE INDICATOR (for Q.B12d) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941522 94PO: V305 BLACKS FT PROBE (B12E.) COLUMNS 3407 - 3407 NUMERIC Q.B12e. PROBE INDICATOR (for Q.B12e) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941523 94PO: V306 CONSERVATVS FT PROBE (B12F.) COLUMNS 3408 - 3408 NUMERIC Q.B12f. PROBE INDICATOR (for Q.B12f) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941524 94PO: V307 LABR UNIONS FT PROBE (B12G.) COLUMNS 3409 - 3409 NUMERIC Q.B12g. PROBE INDICATOR (for Q.B12g) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941525 94PO: V308 WOMN MOVEMT FT PROBE (B12H.) COLUMNS 3410 - 3410 NUMERIC Q.B12h. PROBE INDICATOR (for Q.B12h) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941526 94PO: V309 WELFARE FT PROBE (B12J.) COLUMNS 3411 - 3411 NUMERIC Q.B12j. PROBE INDICATOR (for Q.B12j) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941527 94PO: V310 ENVIRMNTLST FT PROBE (B12K.) COLUMNS 3412 - 3412 NUMERIC Q.B12k. PROBE INDICATOR (for Q.B12k) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941528 94PO: V311 LIBERALS FT PROBE (B12M.) COLUMNS 3413 - 3413 NUMERIC Q.B12m. PROBE INDICATOR (for Q.B12m) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941529 94PO: V312 POOR PEOPLE FT PROBE (B12N.) COLUMNS 3414 - 3414 NUMERIC Q.B12n. PROBE INDICATOR (for Q.B12n) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941530 94PO: V313 WHITES FT PROBE (B12O.) COLUMNS 3415 - 3415 NUMERIC Q.B12o. PROBE INDICATOR (for Q.B12o) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941531 94PO: V314 BIG BUSNESS FT PROBE (B12P.) COLUMNS 3416 - 3416 NUMERIC Q.B12p. PROBE INDICATOR (for Q.B12p) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941532 94PO: V315 XTIAN FUND FT PROBE (B12Q.) COLUMNS 3417 - 3417 NUMERIC Q.B12q. PROBE INDICATOR (for Q.B12q) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941533 94PO: V316 ELDERLY FT PROBE (B12R.) COLUMNS 3418 - 3418 NUMERIC Q.B12r. PROBE INDICATOR (for Q.B12r) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941534 94PO: V317 ILLEG IMMIG FT PROBE (B12S.) COLUMNS 3419 - 3419 NUMERIC Q.B12s. PROBE INDICATOR (for Q.B12s) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941535 94PO: V318 GAYS/LESBNS FT PROBE (B12T.) COLUMNS 3420 - 3420 NUMERIC Q.B12t. PROBE INDICATOR (for Q.B12t) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== VAR M941536 94PO: V319 WEALTHY FT PROBE (B12U.) COLUMNS 3421 - 3421 NUMERIC Q.B12u. PROBE INDICATOR (for Q.B12u) ------------------------------------- 0. NOT PROBED 1. (RQ) Repeat question 2. (WT) What do you think? 3. (WC) Which is closer? 4. (WM) Whatever it means to you 5. Probe box checked 6. RQ and WT; RQ and WM; RQ and WC 7. Other probe; type of probe unclear 9. INAP, question coded 888 ============================== Respondent ID ============================== 1994 Post ID ============================== VAR M952005 FORM OF QUESTIONNAIRE 1. FORM A 2. FORM B ============================== VAR M952006 A1. Do you have a television set in your home? 1. YES 3. NO, BUT REGULARY WATCH ELSEWHERE (VOLUNTEERED) 5. NO 8. DK 9. RF, NA ============================== VAR M952007 A2. Do you ever watch national network news programs like "World News Tonight" on ABC, "The NBC Nightly News", or "The CBS Evening News"? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; FORM B; 5, 8-9 in A1 ============================== VAR M952007A COLUMNS 3434 - 3434 NUMERIC A2/M9. SUMMARY: Ever watch national network news programs This variable combines Form A and Form B question administrations. 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 in A1/M9; 5 on M3 (FORM B) ============================== VAR M952008 A2a. How often do you watch those types of shows -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; FORM B; 5, 8-9 IN A1; 5, 8-9 IN A2 ============================== VAR M952008A COLUMNS 3436 - 3436 NUMERIC A2a/M9a SUMMARY: How often watch? This variable combines Form A and Form B question administrations. 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 IN A1; 5, 8-9 IN A2/M9a ============================== VAR M952009 A3. Which of the network news programs do you watch most often -- "World News Tonight" on ABC, "The NBC Nightly News," "The CBS Evening News," or some other network news program? 1. WORLD NEWS TONIGHT - ABC 2. THE NBC NIGHTLY NEWS 3. THE CBS EVENING NEWS 4. CNN (VOLUNTEERED) 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM B; 5, 8-9 IN A1; 5, 8-9 IN A2/M10 ============================== VAR M952009A COLUMNS 3438 - 3438 NUMERIC A3/M10 SUMMARY: Which network news program watched This variable combines Form A and Form B question administrations. 1. WORLD NEWS TONIGHT - ABC 2. THE NBC NIGHTLY NEWS 3. THE CBS EVENING NEWS 4. CNN (VOLUNTEERED) 7. OTHER (SPECIFY) 8. DK 9. RF, NA ============================== VAR M952010 A4. Do you get either cable or satellite television? 1. YES (EITHER CABLE OR SATELLITE) 5. NO 8. DK 9. RF, NA 0. INAP;5 ON A1 ============================== VAR M952011 A5a. Now we would like to know something about the feelings you have toward some people in politics. I am going to name a political leader and I want you to tell me whether something about that person, or something he has done, has made you have certain feelings like anger or pride. A5a.1 Has Bill Clinton -- because of the kind of person he is, or because of something he has done -- ever made you feel afraid? The exact order in which the twelve affects in A5 and A6 were read to respondents was varied randomly. * 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952012 A5a.2 Has Bill Clinton -- because of the kind of person he is, or because of something he has done -- ever made you feel anxious? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952013 (See V2012) A5a.3 ...worried? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952014 (See V2012) A5a.4 ...ever made you feel angry? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952015 (See V2012) A5a.5 (-- ever made you feel) bitter? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952016 (See V2012) A5a.6 (-- ever made you feel) resentful? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952017 (See V2012) A5a.7 ( --ever made you feel) proud? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952018 (See V2012) A5a.8 (-- ever made you feel) hope? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952019 (See V2012) A5a.9 (-- ever made you feel)enthusiastic? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952020 (See V2012) A5a.10 (-- ever made you feel)disgusted? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952021 (See V2012) A5a.11 (-- ever made you feel)hatred? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952022 (See V2012) A5a.12 (-- ever made you feel) contempt? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952023 A5b.1 How often would you say you've felt afraid -- very Often, fairly often, occasionally, or rarely? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.1) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 IN A5a.1 ============================== VAR M952024 A5b.2 How often would you say you've felt anxious -- very often, fairly often, occasionally, or rarely? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.2) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.2 ============================== VAR M952025 (See V2024) A5b.3 (How often) worried? -- (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.3) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.3 ============================== VAR M952026 (See V2024) A5b.4 (How often)angry? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.4) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.4 ============================== VAR M952027 (See V2024) A5b.5 (How often) bitter? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.5) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.5 ============================== VAR M952028 (See V2024) A5b.6 (How often)resentful? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.6) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.6 ============================== VAR M952029 (See V2024) A5b.7 (How often)proud? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.7) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.7 ============================== VAR M952030 (See V2024) A5b.8 (How often) hope? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.8) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.8 ============================== VAR M952031 (See V2024) A5b.9 (How often) enthusiastic? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.9) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.9 ============================== VAR M952032 (See V2024) A5b.10 (How often)disgusted? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.10) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.10 ============================== VAR M952033 (See V2024) A5b.11 (How often) hatred? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.11) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.11 ============================== VAR M952034 (See V2024) A5b.12 (How often) contempt? (RE: CLINTON) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A5a.12) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A5a.12 ============================== VAR M952035 A6a.1 Has Bob Dole -- because of the kind of person he is, or because of something he has done -- ever made you feel afraid? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952036 A6a.2 Has Bob Dole -- because of the kind of person he is, or because of something he has done -- ever made you feel anxious? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952037 (See V2036) A6a.3 ...worried? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952038 (See V2036) A6a.4 ...ever made you feel angry? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952039 (See V2036) A6a.5 (-- ever made you feel) bitter? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952040 (See V2036) A6a.6 (-- ever made you feel resentful? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952041 (See V2036) A6a.7 ( --ever made you feel) proud? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952042 (See V2036) A6a.8 (-- ever made you feel) hope? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952043 (See V2036) A6a.9 (-- ever made you feel) enthusiastic? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952044 (See V2036) A6a.10 (-- ever made you feel) disgusted? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952045 (See V2036) A6a.11 (-- ever made you feel)hatred? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952046 (See V2036) A6a.12 (-- ever made you feel) contempt? 1. YES, HAVE FELT 5. NO, NEVER FELT 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952047 A6b.1 How often would you say you've felt afraid -- very often, fairly often, occasionally, or rarely? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.1) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.1 ============================== VAR M952048 A6b.2 How often would you say you've felt anxious -- 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.2) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.2 ============================== VAR M952049 (See V2048) A6b.3 (How often) worried? -- (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.3) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.3 ============================== VAR M952050 (See V2048) A6b.4 (How often)angry? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.4) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.4 ============================== VAR M952051 (See V2048) A6b.5 (How often) bitter? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.5) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.5 ============================== VAR M952052 (See V2048) A6b.6 (How often)resentful? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.6) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.6 ============================== VAR M952053 (See V2048) A6b.7 (How often)proud? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.7) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.7 ============================== VAR M952054 (See V2048) A6b.8 (How often) hope? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.8) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.8 ============================== VAR M952055 (See V2048) A6b.9 (How often) enthusiastic? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.9) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.9 ============================== VAR M952056 (See V2048) A6b.10 (How often)disgusted? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.10) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.10 ============================== VAR M952057 (See V2048) A6b.11 (How often) hatred? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.11) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.11 ============================== VAR M952058 (See V2048) A6b.12 (How often) contempt? (RE: DOLE) 1. VERY OFTEN 2. FAIRLY OFTEN 3. OCCASIONALLY 4. RARELY 5. Never (5 on A6a.12) 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 in A6a.12 ============================== VAR M952059 A7. Now we would like to know something about the feelings you have toward some people in politics. I am going to name a political leader and I want you to tell me when you focus on that person how he makes you feel. How would you say Bill Clinton makes you feel at this moment? Does he make you feel very enthusiastic, somewhat enthusiastic, neither enthusiastic nor indifferent, somewhat indifferent, or very indifferent? 1. VERY ENTHUSIASTIC 2. SOMEWHAT ENTHUSIASTIC 3. NEITHER ENTHUSIASTIC NOR INDIFFERENT 4. SOMEWHAT INDIFFERENT 5. VERY INDIFFERENT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952060 A7b. And does Bill Clinton make you feel very hopeful, somewhat hopeful, neither hopeful nor discouraged, somewhat discouraged, or very discouraged? 1. VERY HOPEFUL 2. SOMEWHAT HOPEFUL 3. NEITHER HOPEFUL NOR DISCOURAGED 4. SOMEWHAT DISCOURAGED 5. VERY DISCOURAGED. 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952061 A7c. Does Bill Clinton make you feel very anxious, anxious, neither anxious nor calm, calm, or very calm? 1. VERY ANXIOUS 2. ANXIOUS 3. NEITHER ANXIOUS NOR CALM 4. CALM 5. VERY CALM 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952062 A7d. And would you say he [CLINTON] makes you feel very upset, upset, neither upset nor relaxed, relaxed, or very relaxed? 1. VERY UPSET 2. UPSET 3. NEITHER UPSET NOR RELAXED 4. RELAXED 5. VERY RELAXED 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952063 A7e. And finally, would you say he [CLINTON] makes you feel very angry, angry, neither angry nor comfortable, comfortable, or very comfortable? 1. VERY ANGRY 2. ANGRY 3. NEITHER ANGRY NOR COMFORTABLE 4. COMFORTABLE 5. VERY COMFORTABLE 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952064 A8. Now going on to Bob Dole. How would you say Bob Dole makes you feel at this moment? Does he make you feel very enthusiastic, somewhat enthusiastic, neither enthusiastic nor indifferent, somewhat indifferent, or very indifferent? 1. VERY ENTHUSIASTIC 2. SOMEWHAT ENTHUSIASTIC 3. NEITHER ENTHUSIASTIC NOR INDIFFERENT 4. SOMEWHAT INDIFFERENT 5. VERY INDIFFERENT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952065 A8b. And does Bob Dole make you feel very hopeful, somewhat hopeful, neither hopeful nor discouraged, somewhat discouraged, or very discouraged? 1. VERY HOPEFUL 2. SOMEWHAT HOPEFUL 3. NEITHER HOPEFUL NOR DISCOURAGED 4. SOMEWHAT DISCOURAGED 5. VERY DISCOURAGED 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952066 A8c. Does Bob Dole make you feel very anxious, anxious, neither anxious nor calm, calm, or very calm? 1. VERY ANXIOUS 2. ANXIOUS 3. NEITHER ANXIOUS NOR CALM 4. CALM 5. VERY CALM 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952067 A8d. And would you say he [DOLE] makes you feel very upset, upset, neither upset nor relaxed, relaxed, or very relaxed? 1. VERY UPSET 2. UPSET 3. NEITHER UPSET NOR RELAXED 4. RELAXED 5. VERY RELAXED 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952068 A8e. And finally, would you say he [DOLE] makes you feel very angry, angry, neither angry nor comfortable, comfortable, or very comfortable? 1. VERY ANGRY 2. ANGRY 3. NEITHER ANGRY NOR COMFORTABLE 4. COMFORTABLE 5. VERY COMFORTABLE 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952069 B1. Each year the government in Washington has to make decisions about taxes, spending, and the deficit. We'd like to know your opinions about what the government should do about the budget. I'm going to read you three proposals for cutting the federal budget deficit, and I'd like you to tell me whether or not you would favor each of them. Do you favor increases in taxes paid by ordinary 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952070 B2. Do you favor cuts in spending on domestic programs like Medicare, education, and highways in order to cut the federal budget deficit? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952071 B3. Do you favor cuts in spending on national defense in order to cut the federal budget deficit? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952072 B4. Please think about Bill Clinton. Does the phrase "provides strong leadership" describe Bill Clinton extremely well, quite well, not too well, or not well at all? 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. RF, NA ============================== VAR M952073 (See V2072) B4a. How certain are you about this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 8-9 ON B4 ============================== VAR M952074 B5. In your opinion, does the phrase "moral" describe Bill Clinton extremely well, quite well, not too well, or not well at all? 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. RF, NA ============================== VAR M952075 (See V2074) B5a. How certain are you about this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 8-9 ON B5 ============================== VAR M952076 B6. Now please think about Bob Dole. In your opinion, does the phrase "provides strong leadership" describe Bob Dole extremely well, quite well, not too well, or not well at all? 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. RF, NA ============================== VAR M952077 (See V2076) B6a. How certain are you about this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 8-9 ON B6 ============================== VAR M952078 B7. Does the phrase "moral" describe Bob Dole extremely well, quite well, not too well, or not well at all? 1. EXTREMELY WELL 2. QUITE WELL 3. NOT TOO WELL 4. NOT WELL AT ALL 8. DK 9. RF, NA ============================== VAR M952079 (See V2078) B7a. How certain are you about this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP;8-9 ON B7 ============================== VAR M952080 B8. Now I'm going to read you three proposals for cutting taxes, and I'd like you to tell me whether or not you favor each of them. Do you favor cuts in spending on national defense in order to cut the taxes paid by ordinary Americans? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952081 B9. Do you favor cuts in spending on domestic programs like Medicare, education and highways in order to cut the taxes paid by ordinary Americans? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952082 B10. Do you favor an increase in the federal budget deficit in order to cut the taxes paid by ordinary Americans? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952083 B11. I'd like to get your feelings toward some of our political leaders and other people who have been in the news. I'll read the name of a person and I'd like you to rate that person using something called the feeling thermometer. You can choose any number between 0 and 100. The higher the number, the warmer or more favorable you feel toward that person; the lower the number, the colder or less favorable. You would rate the person at the 50 degree mark if you feel neither warm nor cold toward them. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. Our first person is Bi11 Clinton. B11a(1) How would you rate Bi11 Clinton? PROBE FOR DK RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?" 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952084 (See V2083) B11a(2) How would you rate Bob Dole? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952085 (See V2083) B11a(3) How would you rate Al Gore? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952086 (See V2083) B11a(4) How would you rate Newt Gingrich? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952087 (See V2083) B11a(5) How would you rate Ross Perot? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952088 (See V2083) B11a(6) How would you rate Colin Powell 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952089 (See V2083) B11a(7) How would you rate Phil Gramm? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952090 (See V2083) B11a(8) How would you rate Pete Wilson? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952091 (See V2083) B11a(9) How would you rate Hillary Clinton? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952092 (See V2083) B11a(10) How would you rate Rush Limbaugh? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952093 B11a(1.1) Was DK Probe used: CLINTON PROBE FOR DK RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?" 1. YES 5. NO ============================== VAR M952094 B11a(2.1) WAS DK PROBE USED: DOLE 1. YES 5. NO ============================== VAR M952095 B11a(3.1) WAS DK PROBE USED: GORE 1. YES 5. NO ============================== VAR M952096 B11a(4.1) WAS DK PROBE USED: GINGRICH 1. YES 5. NO ============================== VAR M952097 B11a(5.1) WAS DK PROBE USED: PEROT 1. YES 5. NO ============================== VAR M952098 B11a(6.1) WAS DK PROBE USED: POWELL 1. YES 5. NO ============================== VAR M952099 B11a(7.1) WAS DK PROBE USED: GRAMM 1. YES 5. NO ============================== VAR M952100 B11a(8.1) WAS DK PROBE USED: WILSON 1. YES 5. NO ============================== VAR M952101 B11a(9.1) WAS DK PROBE USED: CLINTON 1. YES 5. NO ============================== VAR M952102 B11a(10.1) WAS DK PROBE USED: LIMBAUGH 1. YES 5. NO ============================== VAR M952103 B11b. (You can choose any number between 0 and 100. The higher the number, the warmer or more favorable you feel toward that person; the lower the number, the colder or less favorable. You would rate the person at the 50 degree mark if you feel neither warm nor cold toward them. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one.) How would you rate Tom Brokaw? PROBE FOR DK RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?" 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA; INAP; FORM B; 5, 8-9 ON A2; 5 ON A1 ============================== VAR M952104 B11b(1) WAS SPECIAL DK PROBE USED? 1. YES 5. NO 9. RF, NA; 0. INAP; FORM B; 5, 8-9 ON A2; 5 ON A1 ============================== VAR M952105 (See V2103) B11c. How would you rate Peter Jennings? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA; INAP; FORM B; 5, 8-9 ON A2; 5 ON A ============================== VAR M952106 B11c(1) WAS SPECIAL DK PROBE USED? 1. YES 5. NO 9. RF, NA; 0. INAP; FORM B; 5, 8-9 ON A2; 5 ON A ============================== VAR M952107 (See V2103) B11d. How would you rate Dan Rather? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA; INAP; FORM B; 5, 8-9 ON A2; 5 ON A ============================== VAR M952108 B11d(1) WAS SPECIAL DK PROBE USED? 1. YES 5. NO 9. RF, NA; 0. INAP; FORM B; 5, 8-9 ON A2; 5 ON A ============================== VAR M952109 (See V2103) B11e. How would you rate Bernard Shaw? 0-100. ENTER NUMBER: 997. R DOESN'T RECOGNIZE NAME 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA; INAP; FORM B; 5, 8-9 ON A2; 5 ON A ============================== VAR M952110 B11e(1) WAS SPECIAL DK PROBE USED? 1. YES 5. NO 0. INAP; FORM B; 5, 8-9 ON A2; 5 ON A ============================== VAR M952111 B11f1. (And still using the thermometer, how would you rate the following:) Groups seeking to protect the environment? 0-100. ENTER NUMBER: 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952112 B11f2. (And still using the thermometer, how would you rate the following:) Conservative religious groups like the Christian coalition? 0-100. ENTER NUMBER: 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952113 B11f3. (And still using the thermometer, how would you rate the following:) the AARP? 0-100. ENTER NUMBER: 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952114 B11f4. (And still using the thermometer, how would you rate the following:) Groups seeking to help blacks? 0-100. ENTER NUMBER: 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952115 B11f5. (And still using the thermometer, how would you rate the following:) Big business? 0-100. ENTER NUMBER: 998. DK WHERE TO RATE; CAN'T JUDGE 999. RF, NA ============================== VAR M952116 B12. Now we have some questions on another topic. How much attention do you pay to news stories about crime? A lot, some attention, or not much at all? 1. A LOT 2. SOME ATTENTION 3. NOT MUCH AT ALL 8. DK 9. RF, NA ============================== VAR M952117 B13. How much attention do you pay to news stories about the environment? (A lot, some attention, or not much at all?) 1. A LOT 2. SOME ATTENTION 3. NOT MUCH AT ALL 8. DK 9. RF, NA ============================== VAR M952118 B14. How much attention do you pay to news stories about the economy? (A lot, some attention, or not much at all?) 1. A LOT 2. SOME ATTENTION 3. NOT MUCH AT ALL 8. DK 9. RF, NA ============================== VAR M952119 C1. On the whole, are you satisfied, fairly satisfied, not very satisfied, or not at all satisfied with the way democracy works in the United States? 1. SATISFIED 2. FAIRLY SATISFIED 3. NOT VERY SATISFIED 4. NOT AT ALL SATISFIED 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952120 C2. Do you think that on the whole the last Presidential election was a fair one, or did some parties or candidates have an unfair advantage? 1. FAIR 5. UNFAIR 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952121 C3.Do you usually think of yourself as close to any particular political party? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952122 (See V2121) C3a. Which party is that? 1. REPUBLICAN 2. DEMOCRATIC 3. LIBERTARIAN 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM A; 5, 8-9 IN C3 ============================== VAR M952123 C3a(1) Which party close to - 2nd mention. [There were no second mentions] ============================== VAR M952124 C3a(2) Which party close to - 3rd mention [There were no third mentions] ============================== VAR M952125 C3b. Which party do you feel closest to? [Choose between three mentions.] 1. REPUBLICAN 2. DEMOCRATIC 3. LIBERTARIAN 7. OTHER (SPECIFY) 9. RF, NA 0. INAP; FORM A; NO SECOND OR THIRD MENTION ============================== VAR M952126 C3c. Do you feel very close to this party, somewhat close, or not very close? 1. VERY CLOSE 2. SOMEWHAT CLOSE 3. NOT VERY CLOSE 8. DK 9. RF, NA (66 cases were erroneously skipped out of this question) 0. INAP; FORM A; 5, 8-9 ON C3 ============================== VAR M952127 C3d. Do you feel yourself a little closer to one of the political parties than the others? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; FORM A; 1 ON C3 ============================== VAR M952128 (See V2127) C3e. Which party is that? 1. REPUBLICAN 2. DEMOCRATIC 3. LIBERTARIAN 7. OTHER (SPECIFY) 9. RF, NA 0. INAP; FORM A; 1 ON C3; 0, 5, 8-9 ON C3d ============================== VAR M952129 C4. Think of a ruler that measures how much parties care about what people want. One means that parties in the United States care what people want. Five means that parties in the United States don't care what people want. And two, three, and four are positions in between. Where would you place yourself? 1. POLITICAL PARTIES CARE 2. 3. 4. 5. POLITICAL PARTIES DON'T CARE 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952130 C5. Now think of a ruler that measures whether political parties are necessary to make our political system work. One means that political parties are necessary to make our political system work in the United States. Five means that political parties are not needed in the United States. And two, three, and four are positions in between. Where would you place yourself? 1. POLITICAL PARTIES ARE NECESSARY 2. 3. 4. 5. POLITICAL PARTIES ARE NOT NEEDED 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952131 C6. In general do you think political parties are doing a very good job, a good job, neither a good nor a bad job, a bad job, or a very bad job for the people of the United States? 1. A VERY GOOD JOB 2. A GOOD JOB 3. NEITHER A GOOD JOB NOR A BAD JOB 4. A BAD JOB 5. A VERY BAD JOB 8. DK 9. RF, NA 0. INAP; FORM A C7. I'd like to know what you think about each of our political parties. After I read the name of a political party, please rate it on a scale from 0 to 10, where 0 means you strongly dislike that party and 10 means that you strongly like that party. If I come to a party you haven't heard of or you feel you do not know enough about, just say so. The first party is the Democratic party. ============================== VAR M952132 (See V2131) C7a (Where would you place Democratic party?) 0-10. ENTER RATING 98. HAVEN'T HEARD OF OR DON'T KNOW ENOUGH ABOUT 99. RF, NA; INAP; FORM A ============================== VAR M952133 (See V2131) C7b The next party is the Republican party: 0-10. ENTER RATING 98. HAVEN'T HEARD OF OR DON'T KNOW ENOUGH ABOUT 99. RF, NA; INAP; FORM A ============================== VAR M952134 (See V2131) C7c The Libertarian party? 0-10. ENTER RATING 98. HAVEN'T HEARD OF OR DON'T KNOW ENOUGH ABOUT 99. RF, NA; INAP; FORM A C8. And now, using the same scale, I'd like to ask you how much you like or dislike some political leaders. Again, if I come to a leader you haven't heard of or you feel you do not know enough about, just say so. The first political leader is Bill Clinton. ============================== VAR M952135 (See V2134) C8a (Where would you place Bill Clinton?) 0-10. ENTER RATING 98. HAVEN'T HEARD OF OR DON'T KNOW ENOUGH ABOUT 99. RF, NA; INAP; FORM A ============================== VAR M952136 (See V2134) C8b Bob Dole? 0-10. ENTER RATING 98. HAVEN'T HEARD OF OR DON'T KNOW ENOUGH ABOUT 99. RF, NA; INAP; FORM A ============================== VAR M952137 C9. What do you think about the state of the economy these days in this country? Would you say that the state of the economy is very good, good, neither good nor bad, bad, or very bad? 1. VERY GOOD 2. GOOD 3. NEITHER GOOD NOR BAD 4. BAD 5. VERY BAD 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952138 C10. Would you say that over the past twelve months the state of the economy in this country has gotten better, stayed about the same, or gotten worse? 1. GOTTEN BETTER 2. STAYED ABOUT THE SAME 3. GOTTEN WORSE 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952139 (See V2138) C10a. Is that much better or somewhat better? 1. MUCH BETTER 2. SOMEWHAT BETTER 8. DK 9. RF, NA 0. INAP; FORM A; 2-3; 8-9 ON C10 ============================== VAR M952140 (See V2138) C10b. Is that much worse or somewhat worse? 1. MUCH WORSE 2. SOMEWHAT WORSE 8. DK 9. RF, NA 0. INAP; FORM A; 1-2, 8-9 ON C10 ============================== VAR M952140A COLUMNS 3613 - 3613 NUMERIC C10x. SUMMARY: Economic Condition of Country 1. MUCH BETTER 2. SOMEWHAT BETTER 3. Stayed the same (VOLUNTEERED) 4. SOMWHAT WORSE 5. MUCH WORSE 8. DK (either C10a or C10b) 9. RF, NA (either C10a or C10b) 0. INAP; FORM A; 8-9 on C10 ============================== VAR M952141 C11. Do you happen to remember the names of any of the candidates who ran in your district in the last congressional election? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952142 C12. Think of a ruler that measures whether members of Congress have a good idea of what ordinary people think. One means that members of Congress have a good idea of what ordinary people think. Five means that members of Congress don't know much of what ordinary people think. And two, three, and four are positions in between. Where would you place yourself? 1. GOOD IDEA OF WHAT ORDINARY PEOPLE THINK 2. 3. 4. 5. DON'T KNOW MUCH OF WHAT ORDINARY PEOPLE THINK 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952143 C13. There are many ways in which people can have contact with their representatives in Congress. They can receive something in the mail, meet them personally, hear them speak at a meeting or rally, or talk to a member of their staff. During the past twelve months, have you had any contact with your Member of Congress in any of these ways? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952144 C14. In politics, people sometimes talk of left and right. C14a Where would you place yourself on a scale from 0 to 10 where 0 means the left and 10 means the right? 0-10. ENTER RATING 98. DON'T KNOW 99. RF, NA; INAP; FORM A Using the same scale, where would you place the ============================== VAR M952145 (See V2144) C14b Democratic party? 0-10. ENTER RATING 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952146 (See V2144) C14c The Republican party? 0-10. ENTER RATING 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952147 (See V2144) C14d The Libertarian party? 0-10. ENTER RATING 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952148 C15a. And using the same scale, where 0 means the left and 10 means the right, where would you place Bill Clinton? 0-10. ENTER RATING 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952149 (See V2148) C15b. Where would you place Bob Dole? 0-10. ENTER RATING 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952150 C16. Think of a ruler that measures whether voting will make things any better in the future. One means that no matter how people vote, it won't make things any better in the future. Five means that the way people vote could make things better in the future. And two, three and four are positions in between. Where would you place yourself? 1. VOTING WON'T MAKE THINGS BETTER 2. 3. 4. 5. VOTING COULD MAKE THINGS BETTER 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952151 C17. Now think of a ruler that measures whether it's important who is in power. One means that it's important who is in power because it can make a difference to what happens. Five means that it doesn't really matter who is in power, because in the end things go on much the same. And two, three and four are positions in between. Where would you place yourself? 1. IT IS IMPORTANT WHO IS IN POWER 2. 3. 4. 5. DOESN'T REALLY MATTER WHO IS IN POWER 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952152 C18. At times it seems that democracy doesn't work. When this happens some people say we need a strong leader to get things done. Others say that even when things don't work democracy is always best. Which is closer to your view: that we need a strong leader to get things done or that democracy is always best? 1. WE NEED A STRONG LEADER 2. DEMOCRACY IS ALWAYS BEST 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952153 C19. Think of a ruler that measures whether people say what they think about politics. One means that most people in the United States usually say what they think about politics. Five means that most people usually hide what they really think about politics. And two, three and four are positions in between. Where would you place yourself? 1. PEOPLE SAY WHAT THEY THINK ABOUT POLITICS 2. 3. 4. 5. PEOPLE USUALLY HIDE WHAT THEY THINK ABOUT POLITICS 8. DK 9. RF, NA 0. INAP; FORM A C20. We have a number of parties in our country, each of which would like to get your vote. Please tell me for each of the following how probable it is that you will ever vote for this party, using a scale where zero means not at all probable and ten means very probable. ============================== VAR M952154 C20a. How probable is it that you will ever vote for the Democratic party? 0-10. ENTER NUMBER 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952155 (See V2154) C20b. The Republican party? 0-10. ENTER NUMBER 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952156 (See V2154) C20c. The Libertarian party? 0-10. ENTER NUMBER 98. DON'T KNOW 99. RF, NA; INAP; FORM A ============================== VAR M952157 C21. Some people feel the government in Washington should see to it that every person has a job and a good standard of living. Others think the government should just let each person get ahead on their own. What do you think: should the government see to it that every person has a job or should the government let each person get ahead on their own? [SEE VARIABLE 2282A for SUMMARY VARIABLE COMBINING FORMS A AND B for this series of questions] 1. GOVERNMENT SHOULD SEE TO IT EVERY PERSON HAS A JOB 2. LET EACH PERSON GET AHEAD ON THEIR OWN 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952158 C21a.Do you feel strongly or not strongly that the government should see to it that every person has a job? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. RF, NA 0. INAP; FORM A; 2, 8-9 ON C21 ============================== VAR M952159 C21b. Do you feel strongly or not strongly that the government should let each person get ahead on their own? 1. STRONGLY 2. NOT STRONGLY 8. DK 9. RF, NA 0. INAP; FORM A; 1, 8-9 ON C21 ============================== VAR M952160 C22. How many days in the past week did you watch the news on TV? 0-7. ENTER NUMBER OF DAYS 8. DON'T KNOW 9. RF, NA ============================== VAR M952161 D1a. Now I am going to ask you what you think of the government's current activities in various areas of environmental policy. In each case, just tell me whether you think the government should put LESS, the SAME amount, or more EFFORT into that area than it does now. Do you think the government should put less, the same amount, or more effort into improving and protecting the environment? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952162 (See V2161) D1b. Reducing air pollution? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952163 (See V2161) D1c. Managing natural resources that are important to our economy, such as timber and fisheries? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952164 (See V2161) D1d. Cleaning up lakes and parks for recreation such as hiking and boating? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952165 (See V2161) D1e. Cleaning up hazardous or toxic waste? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952166 (See V2161) D1f. Reducing solid waste and garbage? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952167 (See V2161) D1g. Addressing global warming? 1. LESS EFFORT 2. THE SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA ============================== VAR M952168 D1h. Which level of government do you think should be most involved in dealing with environmental problems -- the federal government, state governments, or local governments? 1. FEDERAL GOVERNMENT 2. STATE GOVERNMENTS 3. LOCAL GOVERNMENTS 8. DK 9. RF, NA ============================== VAR M952169 D2. Some people think it is important to protect the environment even if it costs some jobs or otherwise reduces our standard of living. Other people think that protecting the environment is not as important as maintaining jobs and our standard of living. D2a. Which do you think is more important -- protecting the environment or maintaining jobs and our standard of living? 1. PROTECTING THE ENVIRONMENT 2. IN BETWEEN (VOLUNTEERED) 3. MAINTAINING JOBS AND STANDARD OF LIVING 8. DK 9. RF, NA ============================== VAR M952170 D2b. Would you say you strongly favor or only somewhat favor protecting the environment even if it costs jobs? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 2-3, 8-9 ON D2 ============================== VAR M952171 (See V2169) D2c. If you were forced to choose, which side would you be on? 1. PROTECTING THE ENVIRONMENT 2. MAINTAINING JOBS AND STANDARD OF LIVING. 8. DK 9. RF, NA 0. INAP; 1, 3, 8-9 ON D2 ============================== VAR M952172 D2d. Would you say you strongly favor or only somewhat favor maintaining jobs over protecting the environment? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 1-2, 8-9 ON D2 ============================== VAR M952172A COLUMNS 3655 - 3655 NUMERIC D2x. SUMMARY: R's Opinion: Jobs versus Environment 1. STRONGLY FAVOR PROTECTING ENVIRONMENT 2. SOMEWHAT FAVOR PROTECTING ENVIRONMENT 3. IF FORCED TO CHOOSE, FAVOR PROTECTING ENVIRONMENT 5. IF FORCED TO CHOOSE, FAVOR MAINTAINING JOBS AND STANDARD OF LIVING 6. SOMEWHAT FAVOR MAINTAINING JOBS AND STANDARD OF LIVING 7. STRONGLY FAVOR MAINTAINING JOBS AND STANDARD OF LIVING 8. DK (either D2b,D2c,or D2d) 9. RF, NA (either D2b, D2c, D2d) 0. INAP; 8-9 on D2 ============================== VAR M952173 D2e. Which do you think Bill Clinton considers most important -- protecting the environment or maintaining jobs and our standard of living? 1. PROTECTING THE ENVIRONMENT 2. MAINTAINING JOBS AND OUR STANDARD OF LIVING 8. DK 9. RF, NA ============================== VAR M952174 (See V2173) D2f. Would you say he strongly favors or only somewhat favors protecting the environment even if it costs jobs? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 2, 8-9 ON D2e ============================== VAR M952175 (See V2173) D2g. Would you say he strongly favors or only somewhat favors maintaining jobs and our standard of living even if it hurts the environment? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D2e ============================== VAR M952175A COLUMNS 3659 - 3659 NUMERIC D2x(1) SUMMARY: CLINTON's Views on Jobs versus Environment 1. STRONGLY FAVORS PROTECTING ENVIRONNEMT 2. SOMEWHAT FAVORS PROTECTING ENVIRONMENT 4. SOMWHAT FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 5. STRONGLY FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 8. DK (either D2f or D2g) 9. RF, NA (either D2f or D2g) 0. INAP; 8-9 on D2e ============================== VAR M952176 D2h. Which do you think Bob Dole considers most important -- protecting the environment or maintaining jobs and our standard of living? 1. PROTECTING THE ENVIRONMENT 2. MAINTAINING JOBS AND OUR STANDARD OF LIVING 8. DK 9. RF, NA ============================== VAR M952177 (See V2176) D2j. Would you say he strongly favors or only somewhat favors protecting the environment even if it costs jobs? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 2, 8-9 ON D2h ============================== VAR M952178 (See V2176) D2k. Would you say he strongly favors or only somewhat favors maintaining jobs and our standard of living even if it hurts the environment? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D2h ============================== VAR M952178A COLUMNS 3663 - 3663 NUMERIC D2x(2) SUMMARY:D0LE's Views on Jobs versus Environment 1. STRONGLY FAVORS PROTECTING ENVIRONNEMT 2. SOMEWHAT FAVORS PROTECTING ENVIRONMENT 4. SOMWHAT FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 5. STRONGLY FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 8. DK (either D2j or D2k) 9. RF, NA (either D2j or D2k) 0. INAP; 8-9 on D2h ============================== VAR M952179 D2m. Which do you think Al Gore considers most important -- protecting the environment or maintaining jobs and our standard of living? 1. PROTECTING THE ENVIRONMENT 2. MAINTAINING JOBS AND OUR STANDARD OF LIVING 7. DOES NOT RECOGNIZE NAME (VOLUNTEERED) 8. DK 9. RF, NA ============================== VAR M952180 (See V2179) D2n. Would you say he strongly favors or only somewhat favors protecting the environment even if it costs jobs? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 2, 7-9 ON D2m ============================== VAR M952181 (See V2179) D2p. Would you say he strongly favors or only somewhat favors maintaining jobs and our standard of living even if it hurts the environment? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 1, 7-9 ON D2m ============================== VAR M952181A COLUMNS 3667 - 3667 NUMERIC D2x(3) SUMMARY:GORE's Views on Jobs versus Environment 1. STRONGLY FAVORS PROTECTING ENVIRONNEMT 2. SOMEWHAT FAVORS PROTECTING ENVIRONMENT 4. SOMWHAT FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 5. STRONGLY FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 8. DK (either D2n or D2p) 9. RF, NA (either D2n or D2p) 0. INAP; 8-9 on D2m ============================== VAR M952182 D2q. Which do you think the Democratic Party considers most important -- protecting the environment or maintaining jobs and our standard of living? 1. PROTECTING THE ENVIRONMENT 2. MAINTAINING JOBS AND OUR STANDARD OF LIVING 8. DK 9. RF, NA ============================== VAR M952183 D2r. Would you say the Democratic party strongly favors or only somewhat favors protecting the environment even if it costs jobs? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 2, 8-9 ON D2q ============================== VAR M952184 D2s. Would you say the Democratic party strongly favors or only somewhat favors maintaining jobs and our standard of living even if it hurts the environment? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D2q ============================== VAR M952184A COLUMNS 3671 - 3671 NUMERIC D2x(4) SUMMARY: DEMOCRATIC PARTY'S Views on Jobs versus Environment 1. STRONGLY FAVORS PROTECTING ENVIRONNEMT 2. SOMEWHAT FAVORS PROTECTING ENVIRONMENT 4. SOMWHAT FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 5. STRONGLY FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 8. DK (either D2r or D2s) 9. RF, NA (either D2r or D2s) 0. INAP; 8-9 on D2q ============================== VAR M952185 D2t. Which do you think the Republican party considers most important -- protecting the environment or maintaining jobs and our standard of living? 1. PROTECTING THE ENVIRONMENT 2. MAINTAINING JOBS AND OUR STANDARD OF LIVING 8. DK ============================== VAR M952186 D2u. Would you say the Republican party strongly favors or only somewhat favors protecting the environment even if it costs jobs? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP; 2, 8-9 ON D2t ============================== VAR M952187 D2v. Would you say the Republican party strongly favors or only somewhat favors maintaining jobs and our standard of living even if it hurts the environment? 1. STRONGLY FAVOR 2. SOMEWHAT FAVOR 8. DK 9. RF, NA 0. INAP;1, 8-9 ON D2t ============================== VAR M952187A COLUMNS 3675 - 3675 NUMERIC D2x(5) SUMMARY: REPUBLICAN PARTY'S Views on Jobs versus Environment 1. STRONGLY FAVORS PROTECTING ENVIRONNEMT 2. SOMEWHAT FAVORS PROTECTING ENVIRONMENT 4. SOMWHAT FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 5. STRONGLY FAVORS MAINTAINING JOBS AND STANDARD OF LIVING 8. DK (either D2u or D2v) 9. RF, NA (either D2u or D2v) 0. INAP; 8-9 on D2t ============================== VAR M952188 D3. Some people think we need much tougher government regulations on business in order to protect the environment. Others think that regulations to protect the environment are too much of a burden on business. What do you think -- do we need tougher environmental regulation even if it hurts business? 1. YES, NEED 5. NO, DON'T NEED 8. DK 9. RF, NA ============================== VAR M952189 (See V2188) D3a. Do you feel that way [YES, NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D3 ============================== VAR M952190 (See V2188) D3b. Do you feel that way [NO, DON'T NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D3 ============================== VAR M952190A COLUMNS 3679 - 3679 NUMERIC D3z SUMMARY: R'S OPINION ON GOVERNMENT REGULATIONS TO PROTECT ENVIRONMENT 1. STRONGLY FEELS TOUGHER REGULATIONS NEEDED 2. NOT SO STRONGLY FEELS TOUGHER REGULATIONS NEEDED 4. NOT SO STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 5. STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 8. DK (either D3a or D3b) 9. RF, NA (either D3a or D3b) 0. INAP; 8-9 on D3 ============================== VAR M952191 (See V2190) D3c. How certain are you of your position on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 8-9 ON D3 ============================== VAR M952192 D3d. As far as you know, does Bill Clinton think we need tougher environmental regulation even if it hurts business? 1. YES 5. NO 8. DK 9. RF, NA ============================== VAR M952193 (See V2192) D3e. Does he feel that way [YES, NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D3d ============================== VAR M952194 (See V2192) D3f. Does he feel that way [NO, DON'T NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D3d ============================== VAR M952194A COLUMNS 3684 - 3684 NUMERIC D3z(1) SUMMARY: CLINTON's VIEWS ON GOVERNMENT REGULATIONS TO PROTECT ENVIRONMENT 1. STRONGLY FEELS TOUGHER REGULATIONS NEEDED 2. NOT SO STRONGLY FEELS TOUGHER REGULATIONS NEEDED 4. NOT SO STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 5. STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 8. DK (either D3e or D3f) 9. RF, NA (either D3e or D3f) 0. INAP; 8-9 on D3d ============================== VAR M952195 (See V2194) D3g. How certain are you of Bill Clinton's position on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 8-9 ON D3d ============================== VAR M952196 D3h. What about Bob Dole? Does Bob Dole think we need tougher environmental regulation even if it hurts business? 1. YES 5. NO 8. DK 9. RF, NA ============================== VAR M952197 (See V2196) D3j. Does he feel that way [YES, NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D3h ============================== VAR M952198 (See V2196) D3k. Does he feel that way [NO, DON'T NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D3h ============================== VAR M952198A COLUMNS 3689 - 3689 NUMERIC D3z(2) SUMMARY: DOLE'S OPINION ON GOVERNMENT REGULATIONS TO PROTECT ENVIRONMENT 1. STRONGLY FEELS TOUGHER REGULATIONS NEEDED 2. NOT SO STRONGLY FEELS TOUGHER REGULATIONS NEEDED 4. NOT SO STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 5. STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 8. DK (either D3j or D3k) 9. RF, NA (either D3j or D3k) 0. INAP; 8-9 on D3h ============================== VAR M952199 D3m. How about Al Gore? Does he think we need tougher environmental regulation even if it hurts business? 1. YES 5. NO 8. DK 9. RF, NA ============================== VAR M952200 (See V2199) D3n. Does he feel that way [YES, NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D3m ============================== VAR M952201 (See V2199) D3p. Does he feel that way [NO, DON'T NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1-8-9 ON D3m ============================== VAR M952201A COLUMNS 3693 - 3693 NUMERIC D3z(3) SUMMARY:GORE'S OPINION ON GOVERNMENT REGULATIONS TO PROTECT ENVIRONMENT 1. STRONGLY FEELS TOUGHER REGULATIONS NEEDED 2. NOT SO STRONGLY FEELS TOUGHER REGULATIONS NEEDED 4. NOT SO STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 5. STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 8. DK (either D3n or D3p) 9. RF, NA (either D3n or D3p) 0. INAP; 8-9 on D3m ============================== VAR M952202 D3q. Does the senator [NAME] from this state, think we need tougher environmental regulation even if it hurts business? [See Appendix for List of Senators by State.] 1. YES 5. NO 7. DOES NOT RECOGNIZE NAME (VOLUNTEERED) 8. DK 9. RF, NA ============================== VAR M952203 (See V2202) 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 7-9 ON D3q ============================== VAR M952204 (See V2202) 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 7-9 ON D3q ============================== VAR M952204A COLUMNS 3697 - 3697 NUMERIC D3z(4) SUMMARY: (SENATOR 1) OPINION ON GOVERNMENT REGULATIONS TO PROTECT ENVIRONMENT 1. STRONGLY FEELS TOUGHER REGULATIONS NEEDED 2. NOT SO STRONGLY FEELS TOUGHER REGULATIONS NEEDED 4. NOT SO STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 5. STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 8. DK (either D3r or D3s) 9. RF, NA (either D3r or D3s) 0. INAP; 8-9 on D3q ============================== VAR M952205 D3t. How certain are you of Senator's position on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 7-9 ON D3q ============================== VAR M952206 D3u. How about the other Senator from this state [NAME]. Does (he/she) think we need tougher environmental regulation even if it hurts business? [See Appendix for list of Senators by State.] 1. YES 5. NO 7. DOES NOT RECOGNIZE NAME 8. DK 9. RF, NA ============================== VAR M952207 (See V2206) D3v. Does (he/she) feel that way [YES, NEED] strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 7-9 ON D3u ============================== VAR M952208 (See V2206) 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 7-9 D3u ============================== VAR M952208A COLUMNS 3702 - 3702 NUMERIC D3z(5) SUMMARY: (SENATOR 2) OPINION ON GOVERNMENT REGULATIONS TO PROTECT ENVIRONMENT 1. STRONGLY FEELS TOUGHER REGULATIONS NEEDED 2. NOT SO STRONGLY FEELS TOUGHER REGULATIONS NEEDED 4. NOT SO STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 5. STRONGLY FEELS REGULATIONS BURDEN BUSINESS TOO MUCH 8. DK (either D3v or D3w) 9. RF, NA (either D3v or D3w) 0. INAP; 8-9 on D3u ============================== VAR M952209 (See V2208) D3x. How certain are you of Senator's position on this? Very certain, pretty certain, or not very certain? 1. VERY CERTAIN 2. PRETTY CERTAIN 3. NOT VERY CERTAIN 8. DK 9. RF, NA 0. INAP; 7-9 ON D3u ============================== VAR M952210 D4. People have different ideas about how best to manage the environment and our natural resources. Which of these comes closest to your view: One, Nature exists for our use and enjoyment. Or, Two, We should preserve and protect nature for its own sake. 1. NATURE EXISTS FOR OUR USE 2. PRESERVE AND PROTECT NATURE 8. DK 9. RF, NA ============================== VAR M952211 D4a. Do you feel strongly or not strongly that nature exists for our use and enjoyment? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 2, 8-9 ON D4 ============================== VAR M952212 D4b. Do you feel strongly or not strongly that we should preserve and protect nature for its own sake? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D4 ============================== VAR M952212A COLUMNS 3707 - 3707 NUMERIC D4x. SUMMARY: PURPOSE OF NATURE 1. FEELS STRONGLY THAT NATURE EXISTS FOR OUR USE AND ENJOYMENT 2. FEELS NOT STRONGLY THAT NATURE EXISTS FOR OUR USE AND ENJOYMENT 4. FEELS NOT STRONGLY THAT NATURE SHOULD BE PRESERVED FOR OWN SAKE 5. FEELS STRONGLY THAT NATURE SHOULD BE PRESERVED FOR OWN SAKE 8. DK (either D4a or D4b) 9. DK (either D4a or D4b) 0. INAP; 8-9 on D4 ============================== VAR M952213 D5. Overall, how would you rate the air quality in our nation? Very good, fairly good, fairly bad, or very bad? 1. VERY GOOD 2. FAIRLY GOOD 3. FAIRLY BAD 4. VERY BAD 8. DK 9. RF, NA ============================== VAR M952214 D5a. What about in your local community? Is the air quality very good, fairly good, fairly bad, or very bad? 1. VERY GOOD 2. FAIRLY GOOD 3. FAIRLY BAD 4. VERY BAD 8. DK 9. RF, NA ============================== VAR M952215 D6. Overall, how would you rate the safety of drinking 1. VERY GOOD 2. FAIRLY GOOD 3. FAIRLY BAD 4. VERY BAD 8. DK 9. RF, NA ============================== VAR M952216 D6a. What about in your local community? Is the safety of drinking water in your local community very good, fairly good, fairly bad, or very bad? 1. VERY GOOD 2. FAIRLY GOOD 3. FAIRLY BAD 4. VERY BAD 8. DK 9. RF, NA ============================== VAR M952217 D7. Do you consider yourself to be an environmentalist or not? 1. YES, CONSIDER 5. NO, DON'T CONSIDER 8. DK 9. RF, NA ============================== VAR M952218 D7a. Would you say you're a strong environmentalist or not (a strong environmentalist)? 1. STRONG ENVIRONMENTALIST 5. NOT STRONG ENVIRONMENTALIST 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D7 ============================== VAR M952219 D8. Do you approve or disapprove of the way Bill Clinton is handling environmental issues? 1. APPROVE 5. DISAPPROVE 8. DK 9. RF, NA ============================== VAR M952220 (See V2219) D8a. Do you approve strongly or not strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D8 ============================== VAR M952221 (See V2219) D8b. Do you disapprove strongly or not strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON D8 ============================== VAR M952221A COLUMNS 3717 - 3717 NUMERIC D8x SUMMARY: APPROVE/DISAPPROVAL CLINTON'S HANDLING OF ENVIRONMENTAL ISSUES 1. STRONGLY APPROVE 2. NOT SO STRONGLY APPROVE 4. NOT SO STRONGLY DISAPPROVE 5. STRONGLY DISAPPROVE 8. DK (either D8a or D8b) 9. NA (either D8a or D8b) 0. INAP; 0 on D8 ============================== VAR M952222 D9. Would you support a ban on gasoline-powered garden appliances, such as lawn mowers in order to reduce air pollution, or would you oppose such a ban? 1. SUPPORT 5. OPPOSE 8. DK 9. RF, NA ============================== VAR M952223 D10. Would you support paying higher taxes on gasoline in order to discourage consumption and cut down air pollution caused by automobiles, or would you oppose such a ban? 1. SUPPORT 5. OPPOSE 8. DK 9. RF, NA ============================== VAR M952224 D11. The estimated cost of anti-pollution equipment on a new car is fifteen hundred dollars. Do you think this is worth paying in order to protect the environment, or would you rather see the price reduced even if the car pollutes more? 1. WORTH PAYING 5. REDUCED MORE 8. DK 9. RF, NA ============================== VAR M952225 D11a. What if adding more anti-pollution equipment costing an additional fifteen hundred dollars, could make the car pollute even less? Do you think that would be worth paying in order to protect the environment, or would you rather not see the price increased to make the car pollute less? 1. WORTH PAYING 5. RATHER NOT SEE AN INCREASE 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON D11 ============================== VAR M952225A COLUMNS 3722 - 3722 NUMERIC D11x SUMMARY: HOW MUCH WOULD R PAY FOR ANTI-POLLUTION EQUIPMENT 1. Worth paying $3000 (1 on D11 and 1 on D11a) 2. Would pay $1500, DK/NA about additional $1500 (1 on D11 and 8-9 on D11a) 3. Would pay $1500 only (1 on D11, 5 on D11a) 5. Additional $1500 is not worth paying (5 on D11) 0. INAP, 8-9 on D11 ============================== VAR M952226 E1a. Based on what you may have read or heard, do you think Bill Clinton usually supports or opposes legislation favored by groups seeking to protect the environment? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952227 E1b. Do you think Bill Clinton usually supports or opposes legislation favored by the AARP? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952228 (See V2227) E1c. Conservative religious groups like the Christian Coalition? (Does he usually support legislation favored by this group or does he usually oppose legislation favored by this group?) 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952229 (See V2227) E1d. Groups seeking to help Blacks? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952230 (See V2227) E1e. Big business? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952231 E2a. How about Bob Dole? Do you think Bob Dole usually supports or opposes legislation favored by groups seeking to protect the environment? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952232 (See V2231) E2b. the AARP? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952233 (See V2231) E2c. Conservative religious groups like the Christian Coalition? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952234 (See V2231) E2d. Groups seeking to help Blacks? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952235 (See V2231) E2e. Big business? 1. SUPPORTS 5. OPPOSES 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952236 E3. Now I am going to read several statement about helping others. Please tell me how much you agree or disagree with each one. One should always find ways to help others less fortunate than oneself. Do you agree strongly, agree somewhat, disagree somewhat, or disagree strongly? 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952237 (See V2236) E4. The dignity and well-being of all should be the most important concerns in any society. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952238 (See V2236) E5. One of the problems of today's society is that people are often not kind enough to others. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952239 (See V2236) E6. All people who are unable to provide for their own needs should be helped by others. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952240 (See V2236) E7. A person should always be concerned about the well-being of others. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952241 (See V2236) E8. It is better not to be too kind to people, because kindness will only be abused. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952242 (See V2236) E9. It is best not to get too involved in taking care of other people's needs. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952243 (See V2236) E10. People tend to pay more attention to the well-being of others than they should. 1. AGREE STRONGLY 2. AGREE SOMEWHAT 3. NEITHER AGREE NOR DISAGREE (VOL.) 4. DISAGREE SOMEWHAT 5. DISAGREE STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952244 E11. Which of the following statements is closer to your view: One, it is best not to get too involved in taking care of other people's needs; or Two, all people who are unable to provide for their own needs should be helped by others. 1. BEST NOT TO GET INVOLVED 2. HELP THOSE UNABLE TO PROVIDE 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952245 E12. (Which of the following statements is closer to your view:) One, one of the problems of today's society is that people are often not kind enough to others, or, Two, it is better not to be too kind to people, because kindness will only be abused. 1. PEOPLE NOT KIND ENOUGH 2. KINDNESS WILL BE ABUSED 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952246 E13. (Which of the following statements is closer to you view:) One, a person should always be concerned about the dignity and well-being of others, or, Two, people tend to pay more attention to the dignity and well-being of others than they should. 1. SHOULD ALWAYS BE CONCERNED 2. PAY MORE ATTENTION THAN THEY SHOULD 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952247 F1. Now we'd like to ask you a few more questions about what the government in Washington should do about the budget. I'm going to read three proposals for increasing spending on domestic programs like Medicare, education, and highways. I'd like you to tell me whether or not you favor each of them. Do you favor cuts in spending on national defense in order to increase spending on domestic programs like Medicare, education and highways? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952248 F2. Do you favor an increase in the federal budget deficit in order to increase spending on domestic programs like Medicare, education, and highways? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952249 F3. Do you favor increases in the taxes paid by ordinary Americans in order to increase spending on domestic programs like Medicare, education and highways? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952250 F4. Do you approve or disapprove of the way Bill Clinton is handling his job as President? 1. APPROVE 5. DISAPPROVE 8. DK 9. RF, NA ============================== VAR M952251 (See V2250) F4a. Do you approve strongly or not strongly? 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON F4 ============================== VAR M952252 (See V2250) F4b. Do you disapprove strongly or not strongly? 1. DISAPPROVE STRONGLY 2. DISAPPROVE NOT STRONGLY 8. DK 9. RF, NA 0. INAP; 1, 8-9 ON F4 ============================== VAR M952252A COLUMNS 3750 - 3750 NUMERIC F4x. Summary: Approve President handling of job? 1. APPROVE STRONGLY 2. APPROVE NOT STRONGLY 4. DISAPPROVE NOT STRONGLY 5. DISAPPROVE STRONGLY 8. DK (8 ON F4a OR F4b) 9. NA (9 ON F4a OR F4b) 0. INAP; 8-9 ON F4 ============================== VAR M952253 F5. We hear a lot of talk these days about liberals and conservatives. Think about a ruler where we are measuring political views that people might hold, from liberal to conservative. On this ruler, which goes from one to seven, the number 1 means very liberal political views, and the number seven would be very conservative. Just like a regular ruler, it has points in between at 2, 3, 4, 5, or 6. Where would you place yourself on this ruler or haven't you thought much about this? 0. HAVEN'T THOUGHT MUCH - DO NOT PROBE 1-7. ENTER NUMBER 8. DK - DO NOT PROBE 9. RF, NA ============================== VAR M952253A COLUMNS 3752 - 3752 NUMERIC F5(1) SUMMARY: LIBERAL CONSERVATIVE SELF-PLACEMENT CONFIRMED This variable incorporates responses from V2255 for respondents who indicated at V2254 (F5a) that their original response to F5 was not correct. 0. HAVEN'T THOUGHT MUCH - DO NOT PROBE 1-7. ENTER NUMBER 8. DK 9. RF, NA ============================== VAR M952254 F5a. Let me make sure that I got that right. You Let me make sure that I got that right. You placed yourself at [F5], that is on the conservative side. Is that right? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 0, 4, 8-9 ON F5 ============================== VAR M952255 F5b. The ruler measures political views that people hold from 1 meaning very liberal to 7 meaning very conservative. Like a ruler it has points in between at 2, 3, 4, 5, or 6. Where would you place yourself on this ruler? (Responses to this variable are incorporated in 2253A) 0-7. ENTER NUMBER 8. DK 9. RF, NA; INAP; 0, 1 ON F5a ============================== VAR M952256 F5c. If you had to choose, would you consider yourself a liberal or a conservative? 1. LIBERAL 3. MODERATE, MIDDLE OF THE ROAD 5. CONSERVATIVE 7. R REFUSES TO CHOOSE 8. DK 9. RF, NA (INCLUDES 59 CASES ERRONEOUSLY SKIPPED); 9 on F5 0. INAP; 1-7 ON F5 ============================== VAR M952256A COLUMNS 3756 - 3756 NUMERIC F5x. SUMMARY: LIBERAL/CONSERVATIVE SELF-PLACEMENT 1. Liberal (1-3 on F5(1) or 1 on F5c) 3. Moderate (4 on F5(1) or 3 on F5c) 5. Conservative (5-7 on F5(1) or 5 on F5c) 7. Can't choose (0,8 on F5 and 7 on F5c) 8. DK (0, 8 on F5 and 8 on F5c; 8 on F5b) 9. RF, NA (0,8-9 on F5 and 9 on F5c) ============================== VAR M952257 F6. Now I'm going to read you three proposals for increasing spending on national defense. I'd like you to tell me whether or not you favor each of them. Do you favor an increase in the federal budget deficit in order to increase spending on national defense? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952258 F7. Do you favor increases in the taxes paid by ordinary Americans in order to increase spending on national defense? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952259 F8. Do you favor cuts in spending on domestic programs like Medicare, education and highways in order to increase spending on national defense? 1. YES, FAVOR 5. NO, DO NOT FAVOR 8. DK 9. RF, NA ============================== VAR M952260 F9. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? 1. REPUBLICAN 2. INDEPENDENT 3. NO PREFERENCE 4. OTHER PARTY 5. DEMOCRAT 8. DK 9. RF, NA ============================== VAR M952261 F9a. Would you call yourself a strong Republican or a not very strong Republican? 1. STRONG 5. NOT VERY STRONG 8. DK 9. RF, NA 0. INAP; 2-8 ON F9 ============================== VAR M952262 F9b. Would you call yourself a strong Democrat or a not very strong Democrat? 1. STRONG 5. NOT VERY STRONG 8. DK 9. RF, NA 0. INAP; 1-4, 8 ON F9 ============================== VAR M952263 F9c. Do you think of yourself as closer to the Republican Party or to the Democratic Party? 1. CLOSER TO REPUBLICAN 3. NEITHER 5. CLOSER TO DEMOCRATIC 8. DK 9. RF, NA 0. INAP; 1, 5, 8 ON F9 ============================== VAR M952263A COLUMNS 3764 - 3764 NUMERIC F9x. SUMMARY: PARTY IDENTIFICATION 0. Strong Democrat (5 on F9,1 on F9b) 1. Weak Democrat (5 on F9, 5 on 59b) 2. Independent Democrat (2-4 on F9, 5 on F9c) 3. Indepdent-Independent (2 on F9, 3 on F9c) 4. Independent Republican (2-4 on F9, 1 on F9c) 5. Weak Republican (1 on F9; 5 on F9a) 6. Strong Republican (1 on F9, 1 on F9a) 7. Refuses to choose (3,4 on F9, 3 on F9c) 8. DK (8 on F9c) 9. NA (8 or 9 on F9; 9 on F9c) ============================== VAR M952264 G1. Some people say the best way to reduce crime is to address the social problems that cause crime, like bad schools, poverty and joblessness. Other people say the best way to reduce crime is to make sure that criminals are caught, convicted and punished. Which do you think is most important to do: address conditions that cause crime, or get tough with criminals? 1. ADDRESS CONDITIONS THAT CAUSE CRIME 2. GET TOUGH WITH CRIMINALS 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952265 G1a. Do you favor that approach strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 ON G1 ============================== VAR M952265A COLUMNS 3767 - 3767 NUMERIC G1x SUMMARY: Best Way to Reduce Crime 1. Strongly feel best way is address conditions that cause crime 2. Not strongly feel best way is address conditions that cause crime 4. Not strongly feel best way is get tough with criminals 5. Strongly feel best way is get tough with criminals 0. INAP, FORM B; 8-9 on G1 ============================== VAR M952266 G1b. Which do you think Bill Clinton considers most important -- addressing the conditions that cause crime, or getting tough with criminals? 1. ADDRESS CONDITIONS THAT CAUSE CRIME 2. GET TOUGH WITH CRIMINALS 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952267 (See V2266) G1c. Does he favor that approach strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 ON G1b ============================== VAR M952267A COLUMNS 3770 - 3770 NUMERIC G1x(1) SUMMARY: What does Clinton think is best way to reduce crime 1. Strongly feels best way is address conditions that cause crime 2. Not strongly feels best way is address conditions that cause crime 4. Not strongly feels best way is get tough with criminals 5. Strongly feels best way is get tough with criminals 0. INAP, FORM B; 8-9 on G1b; 8-9 on G1c ============================== VAR M952268 G1d. Which do you think Bob Dole considers most important -- addressing the conditions that cause crime, or getting tough with criminals? 1. ADDRESS CONDITIONS THAT CAUSE CRIME 2. GET TOUGH WITH CRIMINALS 8. DK 9. RF, NA ============================== VAR M952269 (See V2268) G1e. Does he favor that approach strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 ON G1d ============================== VAR M952269A COLUMNS 3773 - 3773 NUMERIC G1x(2) SUMMARY: What does Dole think is best way to reduce crime 1. Strongly feel best way is address conditions that cause crime 2. Not strongly feel best way is address conditions that cause crime 4. Not strongly feel best way is get tough with criminals 5. Strongly feel best way is get tough with criminals 8. DK (on G1e) 9. RF, NA (on G1e) 0. INAP, FORM B; 8-9 on G1d; 8-9 on G1e ============================== VAR M952270 G2. How afraid are you that a member of your family, or a close friend or you yourself might be the victim of an assault during the coming year? Would you say you are very afraid, somewhat afraid, a little bit afraid, or not afraid? 1. VERY AFRAID 2. SOMEWHAT AFRAID 3. A LITTLE BIT AFRAID 4. NOT AFRAID 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952271 G3. Some people say the government should make sure that everyone who needs welfare payments gets them, even if some people abuse the system. Others say the government should make sure there is no abuse of welfare, even if that means that some people who truly need help don't get it. Which is closer to your view -- that the government should make sure that everyone who needs welfare payments gets them or that the government should make sure there is no abuse of welfare? 1. EVERYONE WHO NEEDS GETS WELFARE 2. NO ABUSE OF WELFARE 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952272 G3a. Do you feel strongly or not so strongly that the government should make sure that everyone who needs welfare payments gets them? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP;FORM B; 2, 8-9 ON G3 ============================== VAR M952273 G3b. Do you feel strongly or not so strongly that the 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 1, 8-9 ON G3 ============================== VAR M952273A COLUMNS 3778 - 3778 NUMERIC G3x SUMMARY: GOVERNMENT ADMINISTRATION OF WELFARE 1. STRONGLY FEEL EVERYONE WHO NEEDS GETS WELFARE 2. NOT STRONGLY FEEL EVERYONE WHO NEEDS GETS WELFARE 4. NOT STRONGLY FEEL GOVERNMENT ENSURE NO ABUSE OF WELFARE 5. STRONGLY FEEL GOVERNMENT ENSURE NO ABUSE OF WELFARE 8. DK (G3a or G3b) 9. NA, RF (G3a or G3b) 0. INAP; FORM B; 8-9 on G3; 8-9 on G3a/G3b ============================== VAR M952274 G3c. What is Bill Clinton's position on this -- that the government should make sure that everyone who needs welfare payments gets them or that the government should make sure there is no abuse of welfare? 1. EVERYONE WHO NEEDS GETS WELFARE 2. NO ABUSE OF WELFARE 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952275 (See V2274) G3d. Does he feel strongly or not so strongly that everyone who needs welfare payments should get them? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 2, 8-9 ON G3c ============================== VAR M952276 (See V2275) G3e. Does he feel strongly or not so strongly that the government should make sure there is no abuse of welfare? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 1, 8-9 ON G3c ============================== VAR M952276A COLUMNS 3782 - 3782 NUMERIC G3x(1) SUMMARY: CLINTON'S VIEW OF GOVERNMENT ADMINISTRATION OF WELFARE 1. STRONGLY FEELS EVERYONE WHO NEEDS GETS WELFARE 2. NOT STRONGLY FEELS EVERYONE WHO NEEDS GETS WELFARE 4. NOT STRONGLY FEELS GOVERNMENT ENSURE NO ABUSE OF WELFARE 5. STRONGLY FEEL GOVERNMENT ENSURE NO ABUSE OF WELFARE 8. DK (G3d or G3e) 9. NA, RF (G3d or G3e) 0. INAP; FORM B; 8-9 on G3c; 8-9 on G3d/G3e ============================== VAR M952277 G3f. What is Bob Dole's position -- that the government should make sure that everyone who needs welfare payments gets them or that the government should make sure there is no abuse of welfare? 1. EVERYONE WHO NEEDS GETS WELFARE 2. NO ABUSE OF WELFARE 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952278 (See V2277) G3g. Does he feel strongly or not so strongly that everyone who needs welfare payments should get them? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 2, 8-9 ON G3f ============================== VAR M952279 (See V2277) G3h. Does he feel strongly or not so strongly that the government should make sure there is no abuse of welfare? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 1, 8-9 ON G3f; 8-9 on G3g/G3h ============================== VAR M952279A COLUMNS 3786 - 3786 NUMERIC G3x(2) SUMMARY: DOLE'S VIEW OFGOVERNMENT ADMINISTRATION OF WELFARE 1. STRONGLY FEELS EVERYONE WHO NEEDS GETS WELFARE 2. NOT STRONGLY FEELS EVERYONE WHO NEEDS GETS WELFARE 4. NOT STRONGLY FEELS GOVERNMENT ENSURE NO ABUSE OF WELFARE 5. STRONGLY FEELS GOVERNMENT ENSURE NO ABUSE OF WELFARE 8. DK (G3g or G3h) 9. NA, RF (G3g or G3h) 0. INAP; FORM B; 8-9 on G3f; 8-9 on G3g/G3h ============================== VAR M952280 G4. Some people feel the government in Washington should see to it that every person has a job and a good standard of living. Others think the government should just let each person get ahead on their own. What do you think: should the government see to it that every person has a job or should the government let each person get ahead on their own? 1. GOVERNMENT SEE TO IT EVERYONE HAS A JOB 2. LET EACH PERSON GET AHEAD ON OWN 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952281 G4a. Do you feel strongly or not so strongly that the government should see to it that every person has a job? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 2, 8-9 ON G4 ============================== VAR M952282 G4b. Do you feel strongly or not so strongly that the government should let each person get ahead on their own? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 1, 8-9 ON G4 ============================== VAR M952282A COLUMNS 3790 - 3790 NUMERIC G4x/C21x SUMMARY: SHOULD GOVERNMENT GUARANTEE JOB AND STANDARD OF LIVING NOTE: This summary also combines responses of the Form B equivalent of this question series, C21-C21b.) 1. FEEL STRONGLY THAT GOVERNMENT SEE TO IT EVERYONE HAS JOB 2. FEEL NOT STRONGLY THAT GOVERNMENT SEE TO IT EVERYONE HAS JOB 4. FEEL NOT STRONGLY GOVERNMENT LET PEOPLE GET AHEAD ON OWN 5. FEEL STRONGLY GOVERNMENT LET PEOPLE GET AHEAD ON OWN 8. DK (on C21a or C21b; G4a or G4b) 9. RF, NA (on C21a or C21b; G4a or G4b) 0. INAP; 8-9 on C21 or G4 ============================== VAR M952283 G4c. Does Bill Clinton think that the government should see to it that every person has a job or that the government should let each person get ahead on their own? 1. GOVERNMENT SEE TO IT EVERYONE HAS A JOB 2. LET EACH PERSON GET AHEAD ON OWN 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952284 (See V2283) G4d. Does he favor that approach strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 ON G4c ============================== VAR M952284A COLUMNS 3793 - 3793 NUMERIC G4x(1) SUMMARY: CLINTON VIEWS ON GOVERNMENT GUARANTEE JOB/STANDARD OF LIVING 1. FEELS STRONGLY GOVERNMENT SEE TO IT EVERYONE HAS JOB 2. FEELS NOT STRONGLY GOVERNMENT SEE TO IT EVERYONE HAS JOB 4. FEELS NOT STRONGLY GOVERNMENT LET PEOPLE GET AHEAD ON OWN 5. FEELS STRONGLY GOVERNMENT LET PEOPLE GET AHEAD ON OWN 8. DK (G4d) 9. RF, NA (G4d) 0. INAP, FORM B; 8-9 on G4c ============================== VAR M952285 G4e. Does Bob Dole think that the government should see to it that every person has a job or that the government should let each person get ahead on their own? 1. GOVERNMENT SEE TO IT EVERYONE HAS A JOB 2. LET EACH PERSON GET AHEAD ON OWN 8. DK 9. RF, NA 0. INAP; FORM B ============================== VAR M952286 (See V2285) G4f. Does he favor that approach strongly or not so strongly? 1. STRONGLY 2. NOT SO STRONGLY 8. DK 9. RF, NA 0. INAP; FORM B; 8-9 ON G4e ============================== VAR M952286A COLUMNS 3796 - 3796 NUMERIC G4x(2) SUMMARY: DOLE VIEWS ON GOVERNMENT GUARANTEE JOB/STANDARD OF LIVING 1. FEELS STRONGLY GOVERNMENT SEE TO IT EVERYONE HAS JOB 2. FEELS NOT STRONGLY GOVERNMENT SEE TO IT EVERYONE HAS JOB 4. FEELS NOT STRONGLY GOVERNMENT LET PEOPLE GET AHEAD ON OWN 5. FEELS STRONGLY GOVERNMENT LET PEOPLE GET AHEAD ON OWN 8. DK (G4f) 9. RF, NA (G4f) 0. INAP, FORM B; 8-9 on G4e ============================== VAR M952287 G5. Now I am going to ask you what you think of the government's current activities in various areas. In each case, just tell me whether you think the government should put less, the same amount, or more effort into that area than it does now. Do you think the government should put less, the same amount, or more effort into reducing crime? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952288 G5a. What about Bill Clinton? Does he think the government should put less, the same amount or more effort into reducing crime? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952289 G5b. Does Bob Dole think the government should put less, the same amount, or more effort into reducing crime? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952290 G5c. Different problems get handled by differen levels of government -- the federal government in Washington, the various state governments, or local governments in counties, cites and towns. Which level of government do you think should be most involved in dealing with crime -- the federal government, state governments, or local governments? 1. FEDERAL GOVERNMENT 2. STATE GOVERNMENTS 3. LOCAL GOVERNMENTS 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952291 G6. Do you think the government should put less, the same amount, or more effort to provide welfare to people who need it? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952292 G6a. What about Bill Clinton? Does he think the government should put less, the same amount, or 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952293 G6b. How about Bob Dole -- does he think the government should put less, the same amount, or more effort to provide welfare to people who need it? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952294 G6c. Which level of government do you think should be most involved in dealing with welfare policy -- the federal government, state governments, or local governments? 1. FEDERAL GOVERNMENT 2. STATE GOVERNMENTS 3. LOCAL GOVERNMENTS 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952295 G7. Do you think the government should put less, the same amount, or more effort into ensuring that every person has a job and a good standard of living? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952296 G7a. And what about Bill Clinton? Does he think the government should put less, the same amount or more effort into ensuring that every person has a job and a good standard of living? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952297 G7b. Does Bob Dole think the government should put less, the same amount or more effort into ensuring that every person has a job and a good standard of living? 1. LESS 2. SAME AMOUNT 3. MORE EFFORT 8. DK 9. RF, NA 0. INAP; FORM A ============================== VAR M952298 M1. On a typical weekday, about how many hours of television do you watch during the morning and afternoon? 0-7. NUMBER OF HOURS WATCHED (HALF AN HOUR/30 MINUTES IS CODED AS 1 HOUR) 8. DON'T KNOW 9. RF, NA; INAP; 5 ON A1 ============================== VAR M952299 M2. How about evening television? About how many hours of television do you watch on a typical weekday evening? 0-7. NUMBER OF HOURS WATCHED (HALF AN HOUR/30 MINUTES IS CODED AS 1 HOUR) 8. DON'T KNOW 9. RF, NA; INAP; 5 ON A1 ============================== VAR M952300 M3. There are lots of programs on television, like entertainment shows, sports, movies, and the news. We are interested in whether you watch the news. Some people don't and some do. Do you ever watch news programs? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952301 M3a. How often do you watch news programs -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 5. NEVER (VOLUNTEERED) 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3 ============================== VAR M952302 M4. When some people watch the news, they watch the full broadcast straight through. Others only watch some of it because they are also watching or doing other things at the same time. How about you? When you watch the news on TV, would you say you pay very close attention, fairly close attention, occasional attention, or very little attention? 1. VERY CLOSE ATTENTION 2. FAIRLY CLOSE ATTENTION 3. OCCASIONAL ATTENTION 4. VERY LITTLE ATTENTION 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3 ============================== VAR M952303 M5. Do you ever watch morning news programs like The Today Show' or Good Morning America'? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3 ============================== VAR M952304 (See V2303) M5a. How often do you watch those types of shows -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3; 5, 8-9 ON M5 ============================== VAR M952305 M6. Do you ever watch local news programs like Eyewitness News' or Action News'? 1. YES 5. NO 8. DK 0. INAP; 5 ON A1; 5 ON M3 ============================== VAR M952306 (See V2305) M6a. How often do you watch those types of shows -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3; 5, 8-9 ON M6 ============================== VAR M952307 M7. Do you ever watch entertainment news programs like Hard Copy' or Entertainment Tonight'? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3 ============================== VAR M952308 (See v2307) M7a. How often do you watch those types of shows -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3; 5 ON M7 ============================== VAR M952309 M8. Do you ever watch news magazine programs like 60 Minutes' or 20/20'? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5 ON A; 5 ON M3 ============================== VAR M952310 (See V2309) M8a. How often do you watch those types of shows -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5 ON A1; 5 ON M3; 5, 8-9 ON M8 ============================== VAR M952311 M9. Do you ever watch national network news programs like World News Tonight' on ABC, The NBC Nightly News', or The CBS Evening News'? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; FORM A; 5 on A1; 5 ON M3 ============================== VAR M952312 (See V2311) M9a. How often do you watch those types of shows -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; FORM A; 5 ON M3; 5 ON M9 ============================== VAR M952313 M10. Which of the network news programs do you watch most often - - World News Tonight' on ABC, The NBC Nightly News,' The CBS Evening News,' or some other network news program? 1. WORLD NEWS TONIGHT - ABC 2. THE NBC NIGHTLY NEWS 3. THE CBS EVENING NEWS 4. CNN (VOLUNTEERED) 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM A; 5 ON M3; 5 ON M9 ============================== VAR M952314 M11. Now we want to know about the entertainment shows you watch. In the last week, how many of the entertainment shows you watched were on ABC, CBS, NBC, or the Fox network? All, most, a few, or none? 1. ALL 2. MOST 3. A FEW 4. NONE 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952315 M12a. How many times in the last week have you watched "Jeopardy" or "Wheel of Fortune"? 0-7. ENTER NUMBER OF TIMES 8. DON'T KNOW 9. RF, NA; INAP; 5 ON A1 ============================== VAR M952316 M12c. How many times in the last week have you watched a sports event on TV? 0-7. ENTER NUMBER OF TIMES 8. DON'T KNOW 9. RF, NA; INAP; 5 ON A1 ============================== VAR M952317 M12d. Do you watch "NYPD Blue" every week, most weeks, only occasionally, or not at all? 1. EVERY WEEK 2. MOST WEEKS 3. ONLY OCCASIONALLY 4. NOT AT ALL 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952318 M12e. Do you watch "Home Improvement" every week, most weeks, only occasionally, or not at all? 1. EVERY WEEK 2. MOST WEEKS 3. ONLY OCCASIONALLY 4. NOT AT ALL 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952319 M12f. How about "Murder, She Wrote"? (Do you watch that show every week, most weeks, only occasionally, or not at all?) 1. EVERY WEEK 2. MOST WEEKS 3. ONLY OCCASIONALLY 4. NOT AT ALL 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952320 M12g. Do you watch the show "Friends" (every week, most weeks, only occasionally, or not at all?) 1. EVERY WEEK 2. MOST WEEKS 3. ONLY OCCASIONALLY 4. NOT AT ALL 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952321 M12h. How about "Prime Time Live"? (Do you watch this show every week, most weeks, only occasionally, or not at all?) 1. EVERY WEEK 2. MOST WEEKS 3. ONLY OCCASIONALLY 4. NOT AT ALL 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952322 M13a. We are interested in what kinds of things people notice when they watch TV. I am going to ask you some questions about specific shows. You may watch some of them but not others. If you don't know the answers to some of these questions yourself just tell me and we will move on. Do you happen to know in what city ER' takes place? 1. CHICAGO 2. ANY OTHER RESPONSE (DO NOT SPECIFY) 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952323 M13b. On what show would you see Hugh Downs? 1. 20/20 2. ANY OTHER RESPONSE 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952324 M13c. How many children does Grace have on "Grace Under Fire"? 1. 3 OR 4 2. ANY OTHER RESPONSE 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952325 M13d. What is Kramer's first name on "Seinfeld"? 1. COSMO 2. ANY OTHER RESPONSE 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952326 M13e. On what show would you see Dan Dierdorf? 1. MONDAY NIGHT FOOTBALL/FOOTBALL 2. ANY OTHER RESPONSE 8. DK 9. RF, NA O. INAP; 5 ON A1 ============================== VAR M952327 M13f. Who works with Corky, Frank, Jim, and Miles? 1. MURPHY BROWN 2. ANY OTHER RESPONSE 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952328 M13g. On what show would you see Dan Conner? 1. ROSEANNE 2. ANY OTHER RESPONSE 8. DK 9. RF, NA 0. INAP; 5 ON A1 ============================== VAR M952329 M13h. On what show would you see Paul Schaefer? 1. DAVID LETTERMAN 2. ANY OTHER RESPONSE (DO NOT SPECIFY) 8. DK 9. RF, NA 0. INAP; NOT IN 95 PILOT; 5 ON A1 ============================== VAR M952330 M14. There are a number of programs on radio in which people call in to voice their opinions about politics. Do you ever listen to these political talk radio programs of this type? 1. YES 5. NO 8. DK 9. RF, NA ============================== VAR M952331 M14a. How often do you listen to those programs -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952332 M15. Some people listen carefully to these talk radio programs while others just keep them on in the background while they do other things. How about you? When you turn on a political talk radio program, would you say you pay very close attention, fairly close attention, occasional attention, or very little attention? 1. VERY CLOSE ATTENTION 2. FAIRLY CLOSE ATTENTION 3. OCCASIONAL ATTENTION 4. VERY LITTLE ATTENTION 8. DK 9. RF, NA 0. INAP; 5,8-9 ON M14 ============================== VAR M952333 M16a(1). Do you ever listen to the Rush Limbaugh Show? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952334 M16a(2). Do you ever listen to Jim Bohannon? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952335 M16a(3). Do you ever listen to Hightower Radio? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952336 M16a(4). Do you ever listen to G. Gordon Liddy? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952337 M16a(5). Do you ever listen to Chuck Harder? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952338 M16a(6). Do you ever listen to James Dobson? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952339 M16b(1). How often do you listen to Rush Limbaugh -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY. 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M16a(1) ============================== VAR M952340 M16b(2). How often do you listen to Jim Bohannon -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY. 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M16a(2) ============================== VAR M952341 M16b(3). How often do you listen to Hightower Radio -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY. 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M16a(2) ============================== VAR M952342 M16b(4). How often do you listen to G. Gordon Liddy -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY. 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M16a(2) ============================== VAR M952343 M16b(5). How often do you listen to Chuck Harder -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY. 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M16a(2) ============================== VAR M952344 M16b(6). How often do you listen to James Dobson -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY. 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M16a(1) ============================== VAR M952345 (See V2344) M17(1). Are there any other political talk radio shows that you listen to? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14 ============================== VAR M952346 (See V2345) M17b(1). How often do you listen to that show -- every day, most days, once or twice a week, or only occasionally? 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M17(1) ============================== VAR M952347 (See V2346) M17(2). Are there any other political talk radio shows that you listen to? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M17(1) ============================== VAR M952348 (See V2347) M17b(2). How often do you listen to that show --(every day, most days, once or twice a week, or only occasionally?) 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M17(2) ============================== VAR M952349 M17(3). Are there any other political talk radio shows that you listen to? 1. YES 5. NO 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M17(2) ============================== VAR M952350 (See V2349) M17b(3). How often do you listen to that show -- (every day, most days, once or twice a week, or only occasionally?) 1. EVERY DAY 2. MOST DAYS 3. ONCE OR TWICE A WEEK 4. ONLY OCCASIONALLY 8. DK 9. RF, NA 0. INAP; 5, 8-9 ON M14; 5, 8-9 ON M17(2); 5, 8-9 ON M17(3) ============================== VAR M952351 M18a. We're interested in how much people learn about television news personalities. Take Tom Brokaw. Do you happen to know which network he works for -- is it CBS, CNN, or which? 1. ABC 2. NBC 3. CBS 4. CNN 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM A; 5 ON A1; 5, 8-9 ON M3 ============================== VAR M952352 (See V2351) M18b. What about Peter Jennings? (Do you happen to know what network he works for?) 1. ABC 2. NBC 3. CBS 4. CNN 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM A; 5 ON A1; 5, 8-9 ON M3 ============================== VAR M952353 (See V2351) M18c. Dan Rather? (Do you happen to know what network he works for?) 1. ABC 2. NBC 3. CBS 4. CNN 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM A; 5 ON A1; 5, 8-9 ON M3 ============================== VAR M952354 (See V2351) M18d. Bernard Shaw? (Do you happen to know what network he works for?) 1. ABC 2. NBC 3. CBS 4. CNN 7. OTHER (SPECIFY) 8. DK 9. RF, NA 0. INAP; FORM A; 5 ON A1; 5, 8-9 ON M3 ============================== VAR M952355 M19. And finally, about how many miles do you drive in a typical week? 0. NONE, DON'T DRIVE 1-2000. ENTER NUMBER 9999. NA ============================== VAR M952356 Length of interview Number of minutes (To 4 decimal places) ============================== VAR M952357 Interviewer of record Interviewer number and: 99. NA ============================== VAR M952358 Refusal Conversion Flag 0. No refusal encountered 1. There was an initial refusal of the request for an interview. ============================== VAR M952359 Other Interviewer The ID number of the interviewer who took the initital refusal is coded here, plus: 0. No refusal conversion ============================== VAR M952360 Result Date Date of Interview (1995 followed by 2-digit month and 2-digit day) and: 999999999. NA ============================== VAR M952361 Last Call Number Actual number (1-62) and: 99. NA ============================== VAR M952362 Interviewer gender 1. Male 2. Female 9. NA ============================== VAR M960001 COLUMNS 3895 - 3898 NUMERIC Process.1 1996 Case ID ----------------------------------------------------------- Panel cases 1001-2318. Cross-section cases 3001-3404. There are gaps in the numbering at 2108, 2118, 3081, 3212, 3213, 3322, 3348, 3369. ============================== VAR M960002 COLUMNS 3899 - 3899 NUMERIC Process.3 Panel/cross indicator ----------------------------------------------------------- 1. Panel case 2. Cross-section case ============================== VAR M960003 COLUMNS 3900 - 3905 NUMERIC DEC 4 Dec 4 Process.4 Full sample weight ----------------------------------------------------------- This weight compensates for the unequal probabilities of selection for respondents in different size households and for different non-response across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to the July 1995 Census population projections for age, by sex by Census region categories (Current Population Reports P25-1111, Table 4). This is a 6 digit variable with a coded decimal point and 4 actual decimal places. See also the "Construction of Analysis weights" in the Sample Design section of the Appendix to the codebook for the 1996 study. ============================== VAR M960004 COLUMNS 3906 - 3911 NUMERIC DEC 4 Dec 4 Process.5 1996 Panel only weight ----------------------------------------------------------- This weight is to be used for analyses which use only the 1316 panel cases; the cross-section cases have a value of "0" in this field. The weight compensates for the unequal probabilities of selection for respondents in different size households and for differential non-response across geographic sample design categories. It is post- stratified to the July 1995 Census population projections for age, by sex by Census region categories (Current Population Reports P25-1111, Table 4). This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR M960005 COLUMNS 3912 - 3917 NUMERIC DEC 4 Dec 4 Process.6 1996 Time-series weight ----------------------------------------------------------- This weight should be used in analyses in which the 1996 Panel is compared to earlier unweighted National Election Studies data collections. This variable corrects for panel attrition and for the aging of the Panel respondents. Details on the construction of this variable are provided in the Sample Design section of the Appendix to the codebook for the 1996 Study. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. Cross-section cases have a value of 1.0000. ============================== VAR M960005A COLUMNS 3918 - 3923 NUMERIC DEC 4 Dec 4 Process.6a Additional 1996 Time-series weight - Pre ----------------------------------------------------------- This weight should be used with Pre-election variables. Variables V960005a and V960005b were created because V960005 did not correct for an underrepresentation in Study data of younger and less-educated respondents. V960005a and V960005b are constructed to post-stratify the NES data to match the Current Population Study (CPS) estimate of the distribution of age group by education level. V960005b should be used with Post- election variables. See "NEW WEIGHTS FOR THE 1996 STUDY" in the introductory portion of this codebook and Appendix G "Post-Stratified Cross-Sectional Analysis Weights for the 1992, 1994 and 1996 NES data." This weight should be used in analyses in which the 1996 Panel is compared to earlier unweighted National Election Studies data collections. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR M960005B COLUMNS 3924 - 3929 NUMERIC DEC 4 Dec 4 Process.6b Additional 1996 Time-series weight - Post ----------------------------------------------------------- This weight should be used with Post-election variables. SEE NOTE V960005a. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR M960006 COLUMNS 3930 - 3934 NUMERIC Process.7 1995 Case ID (1995 Pilot) for panel cases ----------------------------------------------------------- 5-digit case ID, except: 00000. Inap, 1996 cross-section; panel case not interviewedxx in 1995 pilot ============================== VAR M960007 COLUMNS 3935 - 3938 NUMERIC Process.8 1994 Case ID for panel cases ----------------------------------------------------------- 4-digit case ID, except: 0000. Inap, 1996 cross-section ============================== VAR M960008 COLUMNS 3939 - 3943 NUMERIC Process.9 1993 Case ID (1993 Pilot) for panel cases ----------------------------------------------------------- 5-digit case ID, except: 0000. Inap, 1996 cross-section; panel case not interviewed in 1993 Pilot ============================== VAR M960009 COLUMNS 3944 - 3947 NUMERIC Process.10 1992 Case ID for panel cases ----------------------------------------------------------- 4-digit case ID, except: 0000. Inap, 1996 cross-section; panel case not interviewed in 1992 ============================== VAR M960010 COLUMNS 3948 - 3948 NUMERIC Process.11 1996 Participation: Pre-and Post/ Pre-Only ----------------------------------------------------------- 0. Pre Only 1. Pre and Post ============================== VAR M960010A COLUMNS 3949 - 3949 NUMERIC Process.12 Summary: R's participation in 1992,1994,1996 timeseries ----------------------------------------------------------- This summary describes R's participation in the 1992, 1994 and 1996 timeseries studies. Respondents who participated in the 1992 study were interviewed in both the 1992 Pre and 1992 Post. Participation in the 1996 study describes both pre-and-post cases and pre-only respondents. 1. Participated 1996 only 2. Participated 1996 and 1994 3. Participated 1996, 1994, 1992 ============================== VAR M960010B COLUMNS 3950 - 3951 NUMERIC Process.13 Summary, R's participation 1992, 1993, 1994, 1995, 1996 ----------------------------------------------------------- 1996 cross section respondents (codes 1 and 2) have been interviewed only in 1996 (pre only or pre and post interviews). All 1996 panel respondents have been interviewed in the 1994 Post time-series study and may have also been interviewed in the 1992 Pre-Post time-series study. If R was interviewed in 1992 (codes 21-24) he/she was necessarily interviewed in both the 1992 Pre and 1992 Post (this was a requirement to be eligible for the continuing panel). Panel respondents may also have been interviewed in the 1993 and/or 1995 Pilot Studies. 1995 Pilot: 1996 panel respondents who had been fresh cross-section in 1994 (first interviewed in 1994) were eligible for interviewing in the 1995 Pilot Study; 1996 Panel respondents who had been first interviewed in 1992 were not eligible for inclusion in the 1995 Pilot. 1993 Pilot: Panel respondents who were interviewed in both the 1992 Pre and Post were eligible for 1993 Pilot Study interviewing. 1996 ONLY: 01. 1996 Pre only 02. 1996 Pre and Post 1994 AND 1996: 11. 1994, 1996 Pre 12. 1994, 1996 Pre and Post 13. 1994, 1995 Pilot, 1996 Pre 14. 1994, 1995 Pilot, 1996 Pre and Post 1992,1994 AND 1996: 21. 1992 Pre and Post, 1994, 1996 Pre 22. 1992 Pre and Post, 1994, 1996 Pre and Post 23. 1992 Pre and Post, 1993 Pilot, 1994, 1996 Pre 24. 1992 Pre and Post, 1993 Pilot, 1994, 1996 Pre and Post ============================== VAR M960011 COLUMNS 3952 - 3953 NUMERIC Admin.1 PRE-ELECTION Day of interview ----------------------------------------------------------- Day of interiew 1-31 coded, except: 99. NA ============================== VAR M960012 COLUMNS 3954 - 3955 NUMERIC Admin.2 PRE ELECTION Month of interview ----------------------------------------------------------- 9. September 10. October 11. November 99. NA ============================== VAR M960013 COLUMNS 3956 - 3957 NUMERIC Admin.3 PRE-ELECTION - Number of days before Election Day ----------------------------------------------------------- This variable is based on the date of interview. It counts the number of days before the election day (November 5, 1996). 99. NA ============================== VAR M960014 COLUMNS 3958 - 3961 NUMERIC Admin.4 PRE-ELECTION Beginning time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA ============================== VAR M960015 COLUMNS 3962 - 3965 NUMERIC Admin.5 PRE-ELECTION Ending time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA ============================== VAR M960016 COLUMNS 3966 - 3968 NUMERIC Admin.6 PRE-ELECTION Interview length in minutes ----------------------------------------------------------- The actual number of minutes is coded, except: 999.0. NA ============================== VAR M960017 COLUMNS 3969 - 3970 NUMERIC Admin.7 PRE-ELECTION Interview number ----------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: 99. NA ============================== VAR M960018 COLUMNS 3971 - 3971 NUMERIC Admin.8 PRE-ELECTION Date of Beginning VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. The 8/6/96 VQ was used in error in only 2 cases. In the 9/3/96 VQ, Rs who had been erroneously asked for placement of House candidates and major parties on the 7- point Liberal-Conservative scale (respondents who answered Haven't Thought Much for self-rating) were assigned an appropriate skip. Note that data for ratings of House candidates and parties do not included these cases. In the 9/11/96 VQ, Choate replaced Campbell as the Reform Party Vice-Presidential candidate (question D1f). In the 9/17/96 VQ, respondents no longer skipped Y12g if they do not answer "Yes" in Y12e. In the 9/25/96 VQ, several Perot items were dropped as documented in specific variables [G3a-G3d(1), K4a-K4a(1), K4b, L2d, L2d(1), L2d(2), L3d, L4d, M1d, M1d(1), M1d(2), M2d, M3d, M3d(1), M3d(2), M4d, N1d]. 1. 8/6/96 2. 8/27/96 3. 9/3/96 4. 9/11/96 5. 9/17/96 6. 9/25/96 7. 9/30/96 8. 10/4/96 9. NA ============================== VAR M960019 COLUMNS 3972 - 3972 NUMERIC Admin.9 PRE-ELECTION Date of Ending VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview concluded. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. This variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the beginning VQ (previous var). The 8/6/96 VQ was used in error in only 2 cases. In the 9/3/96 VQ, Rs who had been erroneously asked for placement of House candidates and major parties on the 7- point Liberal-Conservative scale (respondents who answered Haven't Thought Much for self-rating) were assigned an appropriate skip. Note that data for ratings of House candidates and parties do not included these cases. In the 9/11/96 VQ, Choate replaced Campbell as the Reform Party Vice-Presidential candidate (question D1f). In the 9/17/96 VQ, respondents no longer skipped Y12g if they do not answer "Yes" in Y12e. In the 9/25/96 VQ, several Perot items were dropped as documented in specific variables [G1a-G3d(1), K4a-K4a(1), K4b, L2d, L2d(1), L2d(2), L3d, L4d, M1d, M1d(1), M1d(2), M2d, M3d, M3d(1), M3d(2), M4d, N1d]. 1. 8/6/96 2. 8/27/96 3. 9/3/96 4. 9/11/96 5. 9/17/96 6. 9/25/96 7. 9/30/96 8. 10/4/96 9. NA ============================== VAR M960020 COLUMNS 3973 - 3974 NUMERIC Admin.10 PRE-ELECTION - Payment amount ----------------------------------------------------------- 5. $5 respondent payment 10. $5 respondent payment 15. $15 respondent payment 20. $20 respondent payment 25. $25 respondent payment 00. INAP, no respondent payment ============================== VAR M960021 COLUMNS 3975 - 3975 NUMERIC Admin.11 PRE-ELECTION - Was interview tape recorded ----------------------------------------------------------- 1. Yes 5. No 9. NA ============================== VAR M960022 COLUMNS 3976 - 3976 NUMERIC Admin.12 PRE-ELECTION - Verification indicator ----------------------------------------------------------- 0. Not flagged for verification 1. Flagged for verification 2. Verified 3. Verified with discrepancy 4. Not verified 5. Unable to verify ============================== VAR M960023 COLUMNS 3977 - 3977 NUMERIC Admin.13 PRE-ELECTION - Evaluation indicator ----------------------------------------------------------- 0. Interview not evaluated 1. Interview evaluated by supervisor 2. Interview evaluated by team leader ============================== VAR M960024 COLUMNS 3978 - 3978 NUMERIC Admin.14 PRE-ELECTION - Refusal conversion indicator ----------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. 1. Refusal conversion attempted 5. Not a refusal conversion situation 9. NA ============================== VAR M960025 COLUMNS 3979 - 3979 NUMERIC Admin.15 PRE-ELECTION - Was persuasion letter sent? ----------------------------------------------------------- 1. A persuasion letter was sent to R 2. No persuasion letter was sent 9. NA ============================== VAR M960026 COLUMNS 3980 - 3980 NUMERIC Admin.16 IF PERSUASION LETTER WAS SENT: PRE-ELECTION - Type of persuasion letter ----------------------------------------------------------- 1. A."Too busy" 2. B."Too personal" 3. C."Not interested" 4. D."Too old" 5. E. Evasive 6. F. Gatekeeper 7. X. Not at home 9. NA 0. No persuasion letter sent ============================== VAR M960027 COLUMNS 3981 - 3982 NUMERIC Admin.17 PRE-ELECTION - Number of telephone calls ----------------------------------------------------------- Number of calls is coded, except: 99. NA ============================== VAR M960028 COLUMNS 3983 - 3984 NUMERIC Admin.18 PRE-ELECTION - Number of face to face calls ----------------------------------------------------------- Number of calls is coded, except: 99. NA ============================== VAR M960029 COLUMNS 3985 - 3986 NUMERIC Admin.19 PRE-ELECTION - Total number of calls (Phone + FtF) ----------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the"number of calls" variable in past studies. Number of calls coded, except: 99. NA ============================== VAR M960030 COLUMNS 3987 - 3987 NUMERIC Admin.20 PRE-ELECTION - Final result code ----------------------------------------------------------- 1. Interview, complete 5. Interview, partial ============================== VAR M960031 COLUMNS 3988 - 3988 NUMERIC Admin.21 PRE-ELECTION - Beginning mode, personal or telephone ----------------------------------------------------------- This is the mode when interview began 1. Personal 4. Telephone ============================== VAR M960031A COLUMNS 3989 - 3989 NUMERIC Admin.22 MODE SUMMARY - Pre and Post ----------------------------------------------------------- This variable documents the beginning mode of the Pre and Post interviews. PERSONAL: 1. Pre personal and Post personal or Pre personal and no Post IW TELEPHONE: 2. Pre telephone and Post telephone or Pre telephone and no Post IW PERSONAL AND TELEPHONE: 3. Pre personal and Post telephone 4. Pre telephone and Post personal ============================== VAR M960032 COLUMNS 3990 - 3990 NUMERIC Admin.23 PRE-ELECTION - Ending mode, personal or telephone ----------------------------------------------------------- This is the mode when interview ended. 1. Personal mode 4. Telephone 9. NA ============================== VAR M960033 COLUMNS 3991 - 3991 NUMERIC Admin.24 Sample Release ----------------------------------------------------------- In order that analyses of respondents' reactions to campaign events not be confounded with ease or difficulty of contacting or conducting interviews with respondents, NES has, since 1984, followed a strategy of releasing Pre- election sample in stages. In 1996 the sample was released in four quarter samples at approximately two week intervals. The allocation of sample lines to target periods was random, at the segment level; the sets of assigned lines are known as replicates. Dates of release were as follows: 1st replicate 9/3, 2nd replicate 9/12, 3rd replicate 9/26, 4th replicate 10/10. Panel cases that required tracking because the current address of the respondent was not known were released with the first replicate. Two replicates of cross-section cases were designated as 'reserve' to release as needed, depending on an evaluation of sample performance prior to the release of replicate 3. The reserve replicates of cross-section cases were released as follows: replicate 5 with replicate 3 and replicate 6 with replicate 4. 1. Replicate 1, released September 3 2. Replicate 2, released September 12 3. Replicate 3, released September 26 4. Replicate 4, released October 10 5. Reserve replicate 5, released with replicate 3 (Sept. 26) 6. Reserve replicate 5, released with replicate 4 (Oct. 10) ============================== VAR M960034 COLUMNS 3992 - 3992 NUMERIC Admin.25 Sample release summary ----------------------------------------------------------- Built from release variable and date of iw. 1. Target period 1, interviewed in target period 1 (Sept 3-Sept 11) 2. Target period 2, interviewed in target period 2 (Sept 12-Sept 25) 3. Target period 3, interviewed in target period 3 (Sept 26-Oct 9) 4. Target period 4, interviewed in target period 4 (Oct 10-Nov 4) 5. Target period 1, interviewed outside of target period 6. Target period 2, interviewed outside of target period 7. Target period 3, interviewed outside of target period 8. Target period 4, interviewed outside of target period ============================== VAR M960035 COLUMNS 3993 - 3993 NUMERIC Admin.26 Pre question 'form' summary ----------------------------------------------------------- This variable compares with the 'Form' variable of previous (non-CAPI) studies and describes the format of (questions included in) the instrument. Questions F1-F4 and H4-H8 were administered to a random half-sample of respondents. 0. R administered both F1-F4 and H4-H8 1. R not administered F1-F4 2. R not administered H4-H8 3. R administered neither F1-F4 nor H4-H8 ============================== VAR M960036 COLUMNS 3994 - 3994 NUMERIC CSheet.1 PRE-ELECTION COVERSHEET, CS Item 3. (Panel only) Does R still live at the address on sample label ----------------------------------------------------------- The address on the label for the Panel respondents reflected knowledge of R's whereabouts right before the field period began. (The Sample Label address may or may not have corresponded to R's address at the time of the 1994 interivew; R's 1994 address may have been updated between the 1994 interview and the beginning of the 1996 Pre field period). 1. Yes 5. No 9. NA 0. Inap, cross-section ============================== VAR M960037 COLUMNS 3995 - 3995 NUMERIC CSheet.2 IF R NO LONGER LIVES AT ADDRESS ON SAMPLE LABEL PRE-ELECTION COVERSHEET, CS Item 3d. (Panel only) New address is: ----------------------------------------------------------- The address for every Panel repondents who had moved since the 1994 Post- election study was evaluated by the field supervisors. Addresses beyond reasonable driving distance by local interviewers were classified as out of range and assigned to phone interview to be completed by selected phone interviewers. 1. Out of range 3. Within range 5. Can't find 9. NA 0. Inap, cross section case; 1 in question CSheet.3 ============================== VAR M960038 COLUMNS 3996 - 3996 NUMERIC CSheet.3 PRE-ELECTION COVERSHEET,CS Item 5 (Panel only) I need to verify that your full name is [Name of Respondent]. I also need to verify that you were born on [Birth month and year]. R NAME, BIRTH, AND GENDER ARE: ----------------------------------------------------------- 1. Identical to sample label 5. Not identical 9. NA 0. INAP, 1996 Cross-section ============================== VAR M960039 COLUMNS 3997 - 3997 NUMERIC CSheet.4 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Name marked different ----------------------------------------------------------- 1. Yes 5. No 9. NA 0. INAP, 1996 cross-section; 1,9 in question CSheet.5 ============================== VAR M960040 COLUMNS 3998 - 3998 NUMERIC CSheet.5 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Sex marked different ----------------------------------------------------------- 1. Yes 5. No 9. NA 0. INAP, 1996 cross-section; 1,9 in question CSheet.5 ============================== VAR M960041 COLUMNS 3999 - 3999 NUMERIC CSheet.6 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Different birth date marked ----------------------------------------------------------- 1. Yes 5. No 9. NA 0. INAP, 1996 cross-section; 1,9 in question CSheet.5 ============================== VAR M960042 COLUMNS 4000 - 4000 NUMERIC CSheet.7 PRE-ELECTION COVERSHEET, CS Item 6 (Cross-section only) Household listing obtained from: ----------------------------------------------------------- 1. HU member 2. Neighbor 3. Apartment manager 4. Landlord 5. Observation 7. Other 9. NA 0. INAP, panel respondent ============================== VAR M960043 COLUMNS 4001 - 4001 NUMERIC CSheet.8 PRE-ELECTION COVERSHEET, CS Item 8 HOUSEHOLD LISTING: (Cross-section only) Selection table ----------------------------------------------------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel columns. In the first column the interviewer circles the total number of eligible adults in the household; in the second column (same row) is identified the Number" of the person who will be the respondent. There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 1. A 2. B1 3. B2 4. C 5. D 6. E1 7. E2 8. F 9. NA 0. Inap, panel ============================== VAR M960044 COLUMNS 4002 - 4002 NUMERIC CSheet.9 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Selection table: person number selected as R. ----------------------------------------------------------- 1. R is person numbered 1 2. R is person numbered 2 3. R is person numbered 3 4. R is person numbered 4 5. R is person numbered 5 6. R is person numbered 6 0. INAP, panel respondent ============================== VAR M960045 COLUMNS 4003 - 4003 NUMERIC CSheet.10 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Total number of persons in HH: from household listing. ----------------------------------------------------------- 1. One person 2. Two persons 3. Three persons 4. Four persons 5. Five persons 6. Six persons 7. Seven persons 8. Eight or more persons 9. NA 0. INAP, panel respondent ============================== VAR M960046 COLUMNS 4004 - 4004 NUMERIC CSheet.11 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Total number of eligible adults in HU: from household listing. ----------------------------------------------------------- 1. One eligible adult 2. Two eligible adults 3. Three eligible adults 4. Four eligible adults 5. Five eligible adults 6. Six eligible adults 9. NA 0. INAP, panel respondent ============================== VAR M960046A COLUMNS 4005 - 4005 NUMERIC CSheet.11A COVERSHEET -Pre HOUSEHOLD LISTING: Total number of eligible adults in HU ----------------------------------------------------------- For Panel cases, data from the 1994 or 1992 Household Listing were included here. 1. One eligible adult 2. Two eligible adults 3. Three eligible adults 4. Four eligible adults 5. Five eligible adults 6. Six eligible adults 9. NA ============================== VAR M960047 COLUMNS 4006 - 4007 NUMERIC CSheet.12 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Household composition code. ----------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election day) or older; all individuals included in the HH composition codes below refer to adults. A designation of a HH member as "the householder" (HHR) describes HU member who owns or rents the home (in whose name the lease is held). Cohabiting couples are coded as married (30,40, 50-52). Roommates of opposite sex are coded 11,12,21,22; in all cases of unrelated roommates the respondent is HHR. 10. 1 adult male HHR 11. 1 adult male HHR plus 1 other non-relative 12. 1 adult male HHR plus 2 or more non-relatives 20. 1 adult female HHR 21. 1 adult female HHR plus 1 other non-relative 22. 1 adult female HHR plus 2 or more non-relatives 30. 1 married couple: no children or all children living at home are under 18 40. 1 married couple plus 1 other relative 50. 1 married couple plus 2 or more other relatives 51. 1 married couple plus 1 other non-relative 52. 1 married couple plus 2 or more non-relatives 60. 1 unmarried male HHR plus 1 other relative 70. 1 unmarried male HHR plus 2 or more other relatives 80. 1 unmarried female HHR plus 1 other relative 90. 1 unmarried female HHR plus 2 or more other relatives 95. Relatives of opposite sex, unclear who is HHR 99. NA 00. INAP, panel respondent ============================== VAR M960048 COLUMNS 4008 - 4008 NUMERIC CSheet.13 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children under 6 years old in household. ----------------------------------------------------------- 0. No children under 6 years old in HH 1. One child 2. Two children 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR M960049 COLUMNS 4009 - 4009 NUMERIC CSheet.14 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 6-9 years old in household. ----------------------------------------------------------- 0. No children 6-9 years old 1. One child 2. Two children 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR M960050 COLUMNS 4010 - 4010 NUMERIC CSheet.15 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 10-13 years old in household. ----------------------------------------------------------- 0. No children 10-13 years old 1. One child 2. Two children 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR M960051 COLUMNS 4011 - 4011 NUMERIC CSheet.16 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 14-17 years old in household. ----------------------------------------------------------- 0. No children 14-17 years old 1. One child 2. Two children 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR M960052 COLUMNS 4012 - 4012 NUMERIC CSheet.17 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD1 Describe the type of structure in which the respondent lives (sample address). ----------------------------------------------------------- For panel cases, if this var was NA and R had not moved between 1994 and 1996, data from 1994 were duplicated here. 1. Mobile home 2. Detached single family 3. Multi-family 4. Apartment house 5. Condo complex 7. Other (specify) 9. NA ============================== VAR M960053 COLUMNS 4013 - 4013 NUMERIC CSheet.18 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2. Is there a building manager, security guard, or other gatekeeper whose cooperation you need to gain access to the R's housing unit? ----------------------------------------------------------- 1. Yes 2. No, but building is locked/subdivision is gated and locked 5. No 9. NA ============================== VAR M960054 COLUMNS 4014 - 4014 NUMERIC CSheet.19 IF BUILDING MANAGER / GUARD / GATEKEEPER OR LOCKED PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2a Check the box below that best describes the situation. ----------------------------------------------------------- 1. Building Manager or other Gatekeeper must let you in the building (on the grounds, into the mobile home park) but then you are free to attempt contact with R's HU 2. Building Manager/ other Gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 7. Other (describe situation) 9. NA 0. Inap, 5,9 in CD2 ============================== VAR M960055 COLUMNS 4015 - 4015 NUMERIC CSheet.20 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3c Did R refuse initially? ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Yes 5. No 9. NA 0. Inap due to incorrect skip, case not reviewed (5,9 in question CSheet22) and interviewer did not ignore skip error ============================== VAR M960056 COLUMNS 4016 - 4016 NUMERIC CSheet.21 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3d. Did R break any appointment? ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. (For CD3d, since recovery was only attempted for cases having resistance indicated in CD3a, information about appointments broken by unresisting respondents is not represented). 0. None 1. One 2. Two or more 9. NA; Inap, not reviewed (5,9 in CD3a) and not completed by interviewer ============================== VAR M960057 COLUMNS 4017 - 4017 NUMERIC CSheet.22 IF R HAS MADE CONTACT WITH SOMEONE AT THE HOUSHOLD UNIT/ PHONE NUMBER: PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3a. Was there resistance from this person? ----------------------------------------------------------- This question can refer to resistance from anyone contacted at the HU. 1. Yes 5. No 9. NA ============================== VAR M960058 COLUMNS 4018 - 4018 NUMERIC CSheet.23 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960059 COLUMNS 4019 - 4019 NUMERIC CSheet.24 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960060 COLUMNS 4020 - 4020 NUMERIC CSheet.25 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960061 COLUMNS 4021 - 4021 NUMERIC CSheet.26 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960062 COLUMNS 4022 - 4022 NUMERIC CSheet.27 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960063 COLUMNS 4023 - 4023 NUMERIC CSheet.28 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960064 COLUMNS 4024 - 4024 NUMERIC CSheet.29 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(7). If there was any resistance from the R, what reasons were given: . . . (G) No reason given ----------------------------------------------------------- This variable indicates that R resisted but did not give a specific reason for unwillingness to be interviewed. Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960065 COLUMNS 4025 - 4025 NUMERIC CSheet.30 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1. Marked 5. Not marked 9. NA 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR M960066 COLUMNS 4026 - 4026 NUMERIC CSheet.31 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z1. R's sex is: ----------------------------------------------------------- 1. Male 2. Female ============================== VAR M960067 COLUMNS 4027 - 4027 NUMERIC CSheet.32 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z2. R's race is: ----------------------------------------------------------- For panel cases, if the interviewer did not complete this variable, the data from the 1994 coversheet was duplicated here. 1. White 2. Black 3. American indian or Alaskan native 4. Asian or Pacific islander 7. Other 9. NA ============================== VAR M960068 COLUMNS 4028 - 4029 NUMERIC CSheet.33 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z3. Other persons present at the interview were (CHECK ALL THAT APPLY): ----------------------------------------------------------- 1. No one (no other box checked) 2. Children under 6 only 3. Older children only 4. Children under 6 and older children 5. Spouse only 6. Spouse and children under 6 7. Spouse and older children 8. Spouse, children under 6, older children 9. Other relatives only 10. Other relatives and children under 6 11. Other relatives and older children 12. Other relatives, children under 6, older children 13. Other relatives and spouse 14. Other relatives, spouse, children under 6 15. Other relatives, spouse, older children 16. Other relatives, spouse, children under 6, older children 17. Other adults only 18. Other adults and children under 6 19. Other adults and older children 20. Other adults, children under 6, older children 21. Other adults and spouse 22. Other adults, spouse, children under 6 23. Other adults, spouse, older children 24. Other adults, spouse, children under 6, older children 25. Other adults and other relatives 26. Other adults, other relatives, children under 6 27. Other adults, other relatives, older children 28. Other adults, other relatives, children under 6, older children 29. Other adults, other relatives, spouse 30. Other adults, other relatives, spouse, children under 6 31. Other adults, other relatives, spouse, older children 32. Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) 99. NA ============================== VAR M960069 COLUMNS 4030 - 4030 NUMERIC CSheet.34 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z4. R's cooperation was: ----------------------------------------------------------- 1. Very good 2. Good 3. Fair 4. Poor 5. Very poor 9. NA ============================== VAR M960070 COLUMNS 4031 - 4031 NUMERIC CSheet.35 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z5. R's general level of information about politics and public affairs seemed: ----------------------------------------------------------- 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low 9. NA ============================== VAR M960071 COLUMNS 4032 - 4032 NUMERIC CSheet.36 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z6. Rate R's apparent intelligence: ----------------------------------------------------------- 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low 9. NA ============================== VAR M960072 COLUMNS 4033 - 4033 NUMERIC CSheet.37 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z7. How suspicious did R seem to be about the study, before the interview? ----------------------------------------------------------- 1. Not at all suspicious 3. Somewhat suspicious 5. Very suspicious 9. NA ============================== VAR M960073 COLUMNS 4034 - 4034 NUMERIC CSheet.38 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. Overall, how great was R's interest in the interview? ----------------------------------------------------------- 1. Very high 2. Above average 3. Average 4. Below average 5. Very low 9. NA ============================== VAR M960074 COLUMNS 4035 - 4035 NUMERIC CSheet.39 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z9. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------- 1. Completely sincere 2. Usually sincere 3. Often seemed to be insincere 9. NA ============================== VAR M960075 COLUMNS 4036 - 4036 NUMERIC CSheet.40 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z10. Do you feel R reported income correctly? ----------------------------------------------------------- 1. Yes, think R reported correctly 2. No, think R reported incorrectly 3. Refused income questions 5. No, think R reported dishonestly 9. NA ============================== VAR M960076 COLUMNS 4037 - 4038 NUMERIC CSheet.41 IF IWR FEELS THAT R DID NOT REPORT CORRECT INCOME / : IF R REFUSED INCOME QUESTIONS : PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z10a. If possible, give a reasonable estimate of what R's family income is: ----------------------------------------------------------- 1. <$2999 2. $3.000-4,999 3. $5.000-6,999 4. $7.000-8,999 5. $9.000-9,999 6. $10.000-10,999 7. $11.000-11,999 8. $12.000-12,999 9. $13.000-13,999 10. $14.000-14,999 11. $15.000-16,999 12. $17.000-19,999 13. $20.000-21,999 14. $22.000-24,999 15. $25.000-29,999 16. $30.000-39,99 17. $35,000-39,999 18. $40,000-44,999 19. $45,000-49,999 20. $50,000-59,999 21. $60,000-74,999 22. $75,000 + 98. DK 99. NA 00. Inap, 1,9 in Z10 ============================== VAR M960077 COLUMNS 4039 - 4040 NUMERIC CSheet.42 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <1st mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 80. Neutral or no feedback (1st mention only) 99. NA ============================== VAR M960078 COLUMNS 4041 - 4042 NUMERIC CSheet.43 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <2nd mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960079 COLUMNS 4043 - 4044 NUMERIC CSheet.44 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <3rd mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960080 COLUMNS 4045 - 4046 NUMERIC CSheet.45 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <4th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960081 COLUMNS 4047 - 4048 NUMERIC CSheet.46 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <5th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960082 COLUMNS 4049 - 4050 NUMERIC CSheet.47 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <6th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960083 COLUMNS 4051 - 4052 NUMERIC CSheet.48 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <7th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960084 COLUMNS 4053 - 4054 NUMERIC CSheet.49 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <8th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960085 COLUMNS 4055 - 4056 NUMERIC CSheet.50 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <9th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960086 COLUMNS 4057 - 4058 NUMERIC CSheet.51 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <10th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960087 COLUMNS 4059 - 4060 NUMERIC CSheet.52 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <11th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR M960088 COLUMNS 4061 - 4064 NUMERIC IWR.1 Pre Interviewer of record ID ----------------------------------------------------------- Interviewer's 4-digit ID and: 9999. NA ============================== VAR M960089 COLUMNS 4065 - 4068 NUMERIC IWR.2 Pre Supervisor ID ----------------------------------------------------------- Field Supervisor's 4-digit ID and: 9999. NA ============================== VAR M960090 COLUMNS 4069 - 4069 NUMERIC IWR.3 Pre Interviewer gender ----------------------------------------------------------- 1. Male 2. Female 9. NA ============================== VAR M960091 COLUMNS 4070 - 4070 NUMERIC IWR.4 Pre Interviewer education ----------------------------------------------------------- 1. 1-8 grades 2. Some high school 3. High school graduate 4. Some college 5. College degree 6. Master's degree 7. Phd 9. NA ============================== VAR M960092 COLUMNS 4071 - 4071 NUMERIC IWR.5 Pre Interviewer race ----------------------------------------------------------- 1. White 2. Black 3. Native American 4. Asian 7. Other 9. NA ============================== VAR M960093 COLUMNS 4072 - 4072 NUMERIC IWR.6 Pre Interviewer ethnicicty ----------------------------------------------------------- 0. No ethnic identity coded 1. Hispanic 7. Other 9. NA ============================== VAR M960094 COLUMNS 4073 - 4073 NUMERIC IWR.7 Pre Interviewer languages ----------------------------------------------------------- 0. English (only) 1. Spanish 7. Other ============================== VAR M960095 COLUMNS 4074 - 4075 NUMERIC IWR.8 Pre Interviewer experience ----------------------------------------------------------- Interviewer's years of experience, and: 99. NA ============================== VAR M960096 COLUMNS 4076 - 4076 NUMERIC IWR.9 Pre interviewer age (bracketed) ----------------------------------------------------------- 1. 18-34 years 2. 35-40 years 3. 41-45 years 4. 46-50 years 5. 51-55 years 6. 56-60 years 7. 61-64 years 8. 65-79 years 9. NA ============================== VAR M960097 COLUMNS 4077 - 4078 NUMERIC Cand.1 House race type ----------------------------------------------------------- Codes represent type of race in the congressional district of R's 1996 interview location. For a complete list of codes usable for type of congressional race, see RACE TYPE Master Code. Note: 14 interviews were conducted before the status of the congressional race in R's district assumed its final form. These cases are flagged in V960127, and the race type projected at the time the interview was administered is documented in V960128. In these cases survey data are consistent with V960128. 12. Democrat incumbent running -- Republican challenger 14. Democrat incumbent running unopposed 21. Republican incumbent running -- Democratic challenger 24. Republican incumbent running unopposed 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 00. Washington D.C. ============================== VAR M960098 COLUMNS 4079 - 4080 NUMERIC Cand.2 Senate race type ----------------------------------------------------------- Codes represent type of race in 1996 sample state. For a complete list of codes usable for type of Senate race, see RACE TYPE Master Code. 12. Democratic incumbent running -- Republican challenger 21. Republican incumbent running -- Democratic challenger 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 81. Democratic incumbents -- no race in state 82. Republican incumbents -- no race in state 85. Democratic and Republican incumbents -- no race in state 95. Two senate races in state (Kansas only) 00. Inap, Washington DC ============================== VAR M960099 COLUMNS 4081 - 4082 NUMERIC Cand.3 Democratic House candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. 31. Open race Democratic House candidate 33. Incumbent Democratic House candidate 35. Challenging democratic House candidate 00. No Democratic House candidate (type race 24); Washington DC ============================== VAR M960100 COLUMNS 4083 - 4084 NUMERIC Cand.4 Republican House candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. 32. Open race Republican House candidate 34. Incumbent Republican House candidate 36. Challenging Republican House candidate 00. No Republican House candidate (type race 14); Washington DC ============================== VAR M960101 COLUMNS 4085 - 4086 NUMERIC Cand.5 Retiring House Representative code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. 41. Retiring Democratic House Representative 42. Retiring Republican House Representative 00. No retiring Representative (type race 12,14,21,24); Washington DC ============================== VAR M960102 COLUMNS 4087 - 4088 NUMERIC Cand.6 Democratic Senate candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the candidate in the regular Senate race. 11. Open race Democratic Senate candidate 13. Incumbent Democratic Senate candidate 15. Challenging Democratic Senate candidate 00. No race in state; Washington DC ============================== VAR M960103 COLUMNS 4089 - 4090 NUMERIC Cand.7 Republican Senate candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the candidate in the regular Senate race. 12. Open Race Republican Senate candidate 14. Incumbent Republican Senate candidate 16. Challenging Republican Senate candidate 00. No race in state; Washington DC ============================== VAR M960104 COLUMNS 4091 - 4092 NUMERIC Cand.8 Retiring Senator candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the regular Senate race. 19. Democratic Senator, Term Not Up (state with 1 race) 29. Republican Senator, Term Not Up (state with 1 race) 00. No race in state; no retiring senator (type race 12,14,21,24); Washington DC ============================== VAR M960105 Character COLUMNS 4093 - 4096 CHARACTER Sample.1 1996 State abbreviation and congressional district ----------------------------------------------------------- This variable provides the state (2-character Postal abbreviation) and congressional district in which R was residing at the time of the 1996 study. ============================== VAR M960105A Character COLUMNS 4097 - 4100 CHARACTER Sample.1A State and congressional district of Rs who voted out of CD ----------------------------------------------------------- This variable is alpha. In the first two characters are the Postal state abbreviation, in the last two characters the Congression district number. For Rs who answered "No" when asked if they voted within the county of their residence, an attempt was made to determine the CD where R voted. An attempt was also made to pursue any other indications that R voted in a CD other than the one identified in question Sample1. If the state of R's vote is determined but not the CD, then the state has been coded in the first two characters and the CD is represented as "99." If it has been determined that R voted out of the CD of residence but the location of vote (state and CD) was not identified, then 9999 has been coded. 9995. Inap, R voted in same CD as V960105 (voted in county or out of county) 9997. Inap, nonvoter 9999. R voted out of CD, CD NA 0000. Inap, no Post IW ============================== VAR M960106 COLUMNS 4101 - 4104 NUMERIC Sample.2 1996 State and congressional district ----------------------------------------------------------- This variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1996 study. State code resides in first 2 digits, CD number in last 2 digits. ============================== VAR M960106A COLUMNS 4105 - 4108 NUMERIC Sample.3 1994 State and Congressional District (Panel cases) ----------------------------------------------------------- For the Panel component, this variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1994 study. State code resides in first 2 digits, CD number in last 2 digits. 0. Inap, 1996 cross-section ============================== VAR M960106B COLUMNS 4109 - 4112 NUMERIC Sample.4 1992 State and Congressional District (Panel cases) ----------------------------------------------------------- For the Panel component, if R was originally selected in 1992, this variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1992 study. State code resides in first 2 digits, CD number in last 2 digits. 0. Inap, 1996 cross-section; panel case not interviewed in 1992 (selected in 1994) ============================== VAR M960106C COLUMNS 4113 - 4116 NUMERIC Sample.5 1993 State and Congressional District (Panel cases) ----------------------------------------------------------- For the Panel component, if R was originally selected in 1992, this is the state (ICPSR state code) and congressional district where R was residing in 1993 if R participated in the 1993 Pilot. Note that a comparable variable is not available for the 1995 Pilot; in the 1995 Pilot CD of respondent was not determined. 0. Inap, 1996 cross-section; 1994 cross-section; R not interviewed in 1993 ============================== VAR M960107 COLUMNS 4117 - 4118 NUMERIC Sample.6 Congressional district number ----------------------------------------------------------- This refers to the congressional district in which R was residing at the time of the 1996 interview. Codes 1-52. ============================== VAR M960108 COLUMNS 4119 - 4120 NUMERIC Sample.7 FIPS state code - R's 1996 Interview location ----------------------------------------------------------- This is the FIPS [Federal Information Processing Standards] code of the state in which R was residing at the time of the 1996 interview. 1. Alabama 2. Alaska 4. Arizona 5. Arkansas 6. California 8. Colorado 9. Connecticut 10. Delaware 11. Washington DC 12. Florida 13. Georgia 15. Hawaii 16. Idaho 17. Illinois 18. Indiana 19. Iowa 20. Kansas 21. Kentucky 22. Louisiana 23. Maine 24. Maryland 25. Massachusetts 26. Michigan 27. Minnesota 28. Mississippi 29. Missouri 30. Montana 31. Nebraska 32. Nevada 33. New Hampshire 34. New Jersey 35. New Mexico 36. New York 37. North Carolina 38. North Dakota 39. Ohio 40. Oklahoma 41. Oregon 42. Pennsylvania 44. Rhode Island 45. South Carolina 46. South Dakota 47. Tennessee 48. Texas 49. Utah 50. Vermont 51. Virginia 53. Washington 54. West Virginia 55. Wisconsin 56. Wyoming ============================== VAR M960109 COLUMNS 4121 - 4122 NUMERIC Sample.8 ICPSR state code of Interview Location ----------------------------------------------------------- This refers to the state (ICPSR code) in which R was residing at the time of the 1996 interview. NEW ENGLAND: 1. Connecticut 2. Maine 3. Massachusetts 4. New Hampshire 5. Rhode Island 6. Vermont MIDDLE ATLANTIC: 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania EAST NORTH CENTRAL: 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin WEST NORTH CENTRAL: 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota SOLID SOUTH: 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas BORDER STATES: 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington DC 56. West Virginia MOUNTAIN STATES: 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming PACIFIC STATES: 71. California 72. Oregon 73. Washington EXTERNAL STATES: 81. Alaska 82. Hawaii ============================== VAR M960110 COLUMNS 4123 - 4127 NUMERIC Sample.9 FIPS state and county ----------------------------------------------------------- The FIPS State code is represented in digits 1 and 2 of this variable, the FIPS County code in the last 3 digits. For the Panel component, this variable refers to the location of the state and county from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects the location of the state and county from which the respondent was selected in 1996. ============================== VAR M960111 Character COLUMNS 4128 - 4147 CHARACTER Sample.10 Primary Area (PSU) Name ----------------------------------------------------------- This is the Primary Selection Unit (PSU) name. For the Panel component, this variable refers to the location of the Primary Area from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects the location of the Primary Area from which the respondent was selected in 1996. ============================== VAR M960112 COLUMNS 4148 - 4150 NUMERIC Sample.11 Primary Area code ----------------------------------------------------------- This is the Primary Selection Unit (PSU) code. First digits in the range 1,2,3 represent PSUs in the Cross- section component of the sample; first digits 4,5,6 represent PSUs in the 1996 Panel. For the Panel component, this variable refers to the location of the Primary Area from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects the location of the Primary Area from which the respondent was selected in 1996. The first digits used with each of the 2-digit codes appears in parentheses. The slash "/" separates descriptions of distinct codes used for the cross- section/panel. 01. New York NY (5) 02. Los Angeles CA (5) 03. Chicago IL (5) 04. Philadelphia PA (5) 05. Detroit MI (5) 06. San Francisco CA (5) 07. Washington DC-MD-VA (5) 08. Dallas-Ft Worth TX (5) 09. Houston TX (5) 10. Boston MA (1,5) 11. New Haven CT/ Nassau-Suffolk NY (2/5) 12. St. Louis MO-IL (5) 13. Manchester-Nashua NH/ Pittsburgh PA (2/5) 14. Baltimore MD (5) 15. Minneapolis MN-WI (5) 16. Atlanta GA (5) 17. Buffalo NY (5) 18. Newark NJ (5) 20. New York NY/ Buffalo NY/ Elk Co. PA (1/2/3) 21. Philadelphia PA-NJ/ New Haven CT (1/5) 22. Nassau-Suffolk NY (1) 23. Atlantic City NJ (5) 24. Manchester NH (5) 26. Atlantic City NJ/ Milwaukee WI (2/5) 27. Dayton OH (5) 28. Kansas City MO-KS (5) 29. Des Moines (5) 30. Chicago IL/ Milwaukee WI (1/2) 31. Detroit MI/ Grand Rapids MI (1/5) 32. Cleveland OH/Switzerland-Ohio IN/ Fort Wayne IN (1/3/5) 33. Steubenville OH-WV (5) 34. Saginaw MI (5) 36. Madison WI/ Birmingham AL (2/5) 39. Wheeling-Steubenville WV-OH/ Columbus GA-AL (2/5) 40. Des Moines IA/ Miami FL (2/5) 41. St. Louis MO-IL (1) 42. Taney Co. MO/ Jacksonville FL (3/5,6) 43. Lakeland FL (5) 44. McAllen TX (5) 45. Waco TX (5) 47. Wheeling WV-OH (5) 49. Knoxville TN (5) 50. Washington DC/Richmond-Petersburg VA (1/2,5) 51. Harrisonburg VA (3) 52. Baltimore MD (1) 53. Seattle WA (5) 54. Miami-Hialeh FL/Whitfield Co. GA (1/3) 55. Columbus GA-AL/ Denver CO (2/5) 56. Anaheim CA (5) 57. Jacksonville FL/ Riverside CA (2/5) 58. Lakeland-WinterHaven FL/ Fresno CA (2/5) 59. Eugene OR (5) 60. Knoxville TN/ Phoenix AZ (2/5) 62. Birmingham AL (2) 63. Schuyler Co. NY (4) 64. Gardner MA (4) 65. Sanilac Co. MI (4) 66. Decatur Co. IN (4) 68. Saline Co. NE (4) 70. Houston TX/ Jim Wells Co. TX/ Mower Co. MN (1,3/4) 71. Dallas-Ft Worth TX (1) 73. Waco TX/ Bulloch Co. GA (2/4) 74. McAllen TX/ Sabine Co. LA (2/4) 76. Hale Co. TX (4) 77. Ashley Co. AR (4) 78. Bedford Co. TN (4) 80. Salt Lake City-Ogden UT/ Montgomery Co. VA (2/4,6) 81. Denver CO/ Sandoval Co. NM/ Robeson Co. NC (1/3/4) 82. El Dorado Co. CA (4) 84. Carbon Co. WY (4) 90. Los Angeles CA (1) 91. Seattle/Tacoma WA (1) 92. Fresno CA (2) 93. Eugene-Springfield OR (2) 94. Anaheim CA (1) 96. San Francisco CA (1) ============================== VAR M960113 COLUMNS 4151 - 4151 NUMERIC Sample.12 Segment Number ----------------------------------------------------------- For the Panel component, this variable refers to the location of the area segment from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects the location of the area segment from which the respondent was selected in 1996. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. ============================== VAR M960114 COLUMNS 4152 - 4152 NUMERIC Sample.13 Number of Household Units ----------------------------------------------------------- This describes the household of R's location at the time of the 1996 interview. 1. One HU 2. Two HUs 3. Three HUs 9. NA 0. Inap, Panel case ============================== VAR M960115 COLUMNS 4153 - 4153 NUMERIC Sample.14 1996 Census Region - Interview Location ----------------------------------------------------------- For Panel respondents, this is the region of R's interview location in 1996. 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) ============================== VAR M960116 COLUMNS 4154 - 4154 NUMERIC Sample.15 Census Region in 1994 (Panel Respondents) ----------------------------------------------------------- For Panel respondents, this is the region of R's location in 1994. 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) 0. Inap, 1996 cross-section ============================== VAR M960117 COLUMNS 4155 - 4155 NUMERIC Sample.16 Census Region in 1992 (Panel Respondents) ----------------------------------------------------------- For Panel respondents, this is the region of R's location in 1992 (if R was originally selected in 1992). 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) 0. Inap, 1996 cross-section ============================== VAR M960118 COLUMNS 4156 - 4156 NUMERIC Sample.17 Belt Code ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix G). For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. Coded according to the 1990 Census and 1990 Office of Management and Budget (OMB) definitions, 1990 Census Population reports (as reported in the 1992 Annual Metro, City and County Data book) and 1990 Census "urbanized area" (as shown in the 1994 Rand McNally Road Atlas - 70th edition. For segments from the 1980 National Sample Frame, code 1 includes all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as SRP Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus six other non-selfrepresenting primary areas included within the `population over 2,000,000' definition (Miami-Fort Lauderdale, FL CMSA, Cleveland-Akron-Lorain, OH CMSA, Seattle-Tacoma, WA CMSA, San Diego, CA MSA, Phoenix AZ MSA and Tampa-St Petersburg- Clearwater, FL MSA). For Segments from the 1990 National Sample Frame, code 1 includes all except two of the 28 1990 National Sample Frame self-representing areas. Central Cities of Denver, Co MSA and Kansas City MSA are NOT to be coded 1. Central Cities of all other self-representing areas of the 1990 National Sample Frame are coded 1 (including Nassau- Suffolk NY and Newark NJ as part of the NYC, NY-Northern NJ CMSA; Los Angeles, Anaheim, and Riverside CA as part of the LA-etc. CMSA; and San Francisco and Oakland CA as part of the SF-Oakland CA CMSA). For the most part, no 1990 Frame non-selfrepresenting MSA Central Cities are coded 1, except as noted below. [NOTE: In 1990, the PSU definition in New England states is the New England County Metropolitan Area (NECMA). This means that for the 1990 Frame segments in New England--there may be Central Cities of MSAs included in the NECMA definition that are not in the CMSA/MSA definition. For example, in Boston MA (1990 frame) the Central Cities include not only those for Boston MSA but some from other New England MSAs -- some of which could be outside of the Boston CMSA definition and could be coded `2'. It also means that in the Manchester- Nashua NH NECMA (non-selfrepresenting) there are two segment selections in Nashua, NH (central city of Nashua MA PMSA) which is part of the Boston MA CMSA and has therefore been coded `1'.] Central Cities - as designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, D.C. (June 1990). Six largest CMSAs - Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas-- Racial and Hispanic Origin Populations: 1990" Pp 33. Suburbs - defined as all "urbanized areas" in the Primary Area exclusive of the areas coded 1' and 2' above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: For segments from the 1980 Frame only, in the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which includes a central city.) See also the note under code 1' for the 1990 Frame. 1. Central Cities of the six largest (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus the 15 next largest CMSA/MSAs (population over 2,000,000) 2. Central Cities of CMSAs and MSAs with fewer than 2,000,000 population (exclusive of those in the 21 largest CMSA/MSAs -- code 1) 3. Suburbs of the six largest CMSA/MSAs 4. Suburb of all other CMSA/MSAs 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within 50 miles of the central business district of a central city 6. Outlying Area: includes all territory more than 50 miles from the central business district of a central city ============================== VAR M960119 COLUMNS 4157 - 4160 NUMERIC Sample.18 Population in 1000s ----------------------------------------------------------- For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. The actual 1990 Census Place population is coded in thousands, rounding to the nearest whole thousand (from the 1990 Population total for the city/place as reported in the 1992 Annual Metro City and County Data Book). 9999. 9,998,500 persons or over 0000. Rural place, no defined Census Place, or Census Place with fewer than 500 persons ============================== VAR M960120 COLUMNS 4161 - 4162 NUMERIC Sample.19 Size of Place ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix G). For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large citites. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. Note for Codes 50-53: in a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown. This occurred in El Dorado county CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento CA MSA, and also for one SSU (segment) in the Gardner MA PSU (#64), which is now a part of the Worchester MA MSA. THE SIX LARGEST CMSAs PLUS THE 15 NEXT LARGEST CMSAs /MSAs (I.e. those coded 1 or 3 [possibly 5, rarely 6] on the Belt Code: - - - - - - - - - - - - - - - - - - - - - - - - - - - 11. Central Cities (these would have been coded 1 on the Belt Code SUBURBS OF THE 6 LARGEST CMSAs AND THE 15 NEXT LARGEST CMSAs/MSAs (coded 3, possibly 5, or, rarely, 6 on the Belt Code: - - - - - - - - - - - - - - - - - - - - - - - - - - - 20. Rural (including rural places with less than 2,500 population 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 22. 10,000-29,999 23. 30,000-49,999 24. 50,000-99,999 25. 100,000-149,999 26. 150,000-349,999 27. 350,000 and over, exclusive of cities coded 11 CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (exclusive of those in the six largest CMSAs and 15 next largest CMSA/MSAs): - - - - - - - - - - - - - - - - - - - - - - - - - - - CENTRAL CITIES IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 2 on Belt Code): 30. Under 50,000 (identified by OMB, June 1990, as Central Cities 31. 50-000-99,999 32. 100,000-149,999 33. 150,000-349,999 34. 350,000 and over SUBURBS IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 4 or 5 or, rarely, 6 in Belt Code: 40. Rural (including rural places with less than 2,500 population) 41. 2,500-9,999 42. 10,000-29,999 43. 30,000-49,999 44. 50,000-99,999 45. 100,000-149,999 46. 150,000 and over "NON-CMSA/PMSA/MASs" 50. Rural (including rural places with less than 2,000,000 population) 51. 2,500-9,999 52. 10,000-29,999 53. 30,000-49,999 ============================== VAR M960121 COLUMNS 4163 - 4163 NUMERIC Sample.20 Census tract/ED indicator ----------------------------------------------------------- For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. 1. Tracted 2. Enumeration District (ED) ============================== VAR M960122 COLUMNS 4164 - 4166 NUMERIC Sample.21 1996 Sampling Error Code ----------------------------------------------------------- For Panel respondents who have moved, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and panel- only analysis. See 1996 NES Sampling documentation in appendix to this codebook. ============================== VAR M960122A COLUMNS 4167 - 4169 NUMERIC Sample.22 1994 Sampling Error code (Panel Respondents) ----------------------------------------------------------- This 3 digit variable corresponds to V63 and V64 in the 1994 Study: the first 2 digits contain the 1994 Sampling Error Stratum code and the last digit represents the 1994 SECU or Sampling Error Computation Unit code. 999. Inap, 1996 Cross-section ============================== VAR M960122B COLUMNS 4170 - 4172 NUMERIC Sample.23 1992 Sampling Error code (Panel Respondents) ----------------------------------------------------------- 999. Inap, 1996 Cross-section; Panel case not interviewed in 1992 (first selected in 1994) ============================== VAR M960123 COLUMNS 4173 - 4176 NUMERIC Sample.24 1980 Census SMSA (Standard Metropolitan Statistical Area) ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix G). For Panel respondents who moved since their original NES contact (1992, 1994), the data corresponding to their original sampling address was coded here. These SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in characteristics of areas. In the 1996 NES data, the 1980 SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for the panel component of this sample, was most appropriate for all MSA or PMSA areas in that component. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1996 NES), there are two PSUs (#464, Gardner, MA, and #482, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (segment 009 in Gardner, MA, used in the 1996 panel, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worcester, MA, MSA, and all of the 1996 NES Panel segments in El Dorado/Alpine, CA,-- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) 200. Albuquerque NM 360. Anaheim-Santa Ana-Garden Grove, CA 520. Atlanta, GA 560. Atlantic City, NJ 720. Baltimore, MD 1000. Birmingham, AL 1120. Boston, MA 1280. Buffalo, NY 1600. Chicago, IL 1680. Cleveland OH 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4720. Madison WI 4760. Manchester, NH 4880. McAllen-Pharr-Edinburgh, TX 5000. Miami, FL 5080. Milwaukee, WI 5120. Mpls-St Paul, MN-WI 5350. Nashua NH 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5600. New York, NY-NJ 5640. Newark, NJ 6140. Petersburg-Colonial Heights-Hopewell VA 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6760. Richmond, VA 6780. Riverside-San Bernardino, Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7160. Salt Lake City-Ogden UT 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9240. Worcester, MA (1990 MSA definition) 0000. INAP; location not in SMSA (MSA) ============================== VAR M960124 COLUMNS 4177 - 4180 NUMERIC Sample.25 1990 NECMA/SMSA ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix G). The NECMA is the New England County Metropolitan Area code as described in the 1990 SRC National Sample Design and Development documentation. For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. In 1990 the U.S. Census adopted slightly different wording and abbreviations for metropolitan areas, now known collectively as Metropolitan Areas (MAs). What in 1980 were Standard Metropolitan Statistical Areas (SMSAs) became in 1990 either Metropolitan Statistical Areas (MSAs) or Primary Metropolitan Statistical Areas (PMSAs). MSA is used for a metropolitan area which stands alone, i.e., is not a part of a Consolidated Metropolitan Statistical Area (CMSA). PMSA is used for a metropolitan area which is part of a larger CMSA. The metropolitan area standards for the 1990's generally reflect a continuity with those adopted for the 1980's and maintain the basic concepts originally developed in 1950. The few substantive changes made between 1980 and 1990 are detailed in the Federal Register, Vol. 55, No.62 cited in the footnote. New England County Metropolitan Areas (NECMAs) provide an alternative to the official city-and-town based metropolitan statistical areas in that Census region for the convenience of data users who desire a county-defined set of areas. NECMAs have their separate definition standards detailed in the Federal Register (p. 12159). Since the 1990 SRC National Sample primary stage of selection was based on the NECMA in New England, the 1990 NECMA is provided in place of 1990 MSA or PMSA for this variable. For consistency, New England Panel segments which are a part of a 1990 NECMA also have the NECMA coded here. NECMA numbers end with the numeral 3. 360. Anaheim-Santa Ana-Garden Grove, CA 520. Atlanta, GA 560. Atlantic City, NJ 720. Baltimore, MD 875. Bergen-Passiac, NJ PMSA (Former code and title: 6040 Paterson-Clifton-Passaic, NJ) 1000. Birmingham, AL 1123. Boston-Lawrence-Salem-Lowell-Brockton, MA NECMA 1125. Boulder-Longmont, CO PMSA 1145. Brazoria, TX PMSA 1280. Buffalo, NY 1600. Chicago, IL 1680. Cleveland OH 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2800. Fort Worth-Arlington TX, PMSA 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3965. Lake County, IL PMSA 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4720. Madison WI 4763. Manchester-Nashua, NH NECMA 4880. McAllen-Pharr-Edinburgh, TX 5000. Miami, FL 5015. Middlesex-Somerset-Hunterdon, NJ PMSA (former code and title: 5460 New Brunswick-Perth Amboy-Sayreville NJ) 5080. Milwaukee, WI 5120. Minneapolis-St Paul, MN-WI 5350. Nashua, NH PMSA 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5483. New Haven-Waterbury-Meriden, CT NECMA 5600. New York, NY-NJ 5640. Newark, NJ 5700. Niagara Falls, NY PMSA 5775. Oakland, CA PMSA 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6453. Portsmouth-Dover-Rochester, NH NECMA 6760. Richmond, VA 6780. Riverside-San Bernardino, Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7160. Salt Lake City-Ogden, UT MSA 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8003. Springfield, MA NECMA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9243. Worcester-Fitchburn-Leominster, MA NECMA 0000. INAP; location not in SMSA (MSA)/ NECMA ============================== VAR M960125 COLUMNS 4181 - 4182 NUMERIC Sample.26 1990 Census CMSA (Consolidated Metropolitan Statistical Area). ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS (Appendix G). For Panel respondents who moved since theIR ORIGINAL NES CONTAC T (1992, 1994) the data corresponding to their original sampling address was coded here. The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis. In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 7. Boston-Lawrence-Salem MA-NH 10. Buffalo-Niagara Falls NY 14. Chicago-Gary-Lake County IL-IN-WI** 28. Cleveland-Akron-Lorain OH 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 35. Detroit-Ann Arbor MI** 42. Houston-Galveston-Brazoria TX 49. Los Angeles-Anaheim-Riverside CA** 56. Miami-Fort Lauderdale FL 63. Milwaukee-Racine WI 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 84. San Francisco-Oakland-San Jose CA** 91. Seattle-Tacoma WA 960125 00. INAP, Location not in CMSA. This includes old code 32 (Dayton Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield are combined in a single MSA in 1990) ============================== VAR M960126 COLUMNS 4183 - 4183 NUMERIC Sample.27 1990 Census Tract 1 ----------------------------------------------------------- This variable and the next (item Sample.28) provide the 1990 Census Tract number(s) for segment. For Panel cases, if more than 2 Census Tracts are identified with the segment or if a tract was divided up into more than 2 new tract numbers between the 1980 Census and the 1990 Census, this is the lowest 1990 Census Tract number representing the segment. For Cross-section cases there are not more than 2 Census Tracts associated with any segment. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. ============================== VAR M960126A COLUMNS 4184 - 4184 NUMERIC Sample.28 1990 Census Tract 2 ----------------------------------------------------------- This variable and the previous (item Sample.27) provide the 1990 Census Tract number(s) for segment. For Panel cases, if more than 2 Census Tracts are identified with the segment or if a tract was divided up into more than 2 new tract numbers between the 1980 Census and the 1990 Census, this is the lowest 1990 Census Tract number representing the segment. For Cross-section cases there are not more than 2 Census Tracts associated with any segment. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. 0000.0. Inap, only 1 CT ============================== VAR M960127 COLUMNS 4185 - 4185 NUMERIC Summary.1 Flag - changed congressional race status ----------------------------------------------------------- In some congressional districts, the final form of the congressional race was not determined at the beginning of the 1996 Pre interviewing period. This variable documents (codes 1 and 2) 14 cases within such districts where interviewing occurred before the status of the congressional race was finalized. In these cases, the names of the most likely candidates were used in the administration of the interview (for code 1, see the next variable for the race type used at the time of interview in these cases). In all cases coded 1, the incumbent remained unchanged but challenger status was altered - either a challenger was added (change from unopposed to opposed incumbent) or else dropped (change from opposed to unopposed, expected challenger not present in final race). For cases coded 1, data about the incumbent candidate have been preserved and challenger data have been coded NA or Inap as appropriate according to the final race type. For cases coded 2, questions which identified wrong (Republican) candidate name have been coded NA. 0. Status of congressional race did not change during Pre interviewing period; status of congressional race changed during Pre interviewing period but interview conducted with final race type and candidate names 1. Status of congressional race changed during Pre interviewing period, interview not conducted with final race type and candidate names -- RACE TYPE CHANGED 2. Status of congressional race changed during Pre interviewing period, interview not conducted with final candidate names, substitution of major party candidate name (in all cases, Republican candidate) -- RACE TYPE NOT CHANGED ============================== VAR M960128 COLUMNS 4186 - 4187 NUMERIC Summary.2 IF CONGRESSIONAL RACE TYPE WAS NOT FINAL AT TIME OF INTERVIEW AND CHANGED AFTER INTERVIEW WAS CONDUCTED: Change in Type Race - Congressional type race at time of interview ----------------------------------------------------------- For cases where congressional race type changed to its final form after the interview was conducted, this variable describes the status of the congressional race at the time the interview was administered. The final form of the Congressional race is coded in congressional district vars and the type race var, and the data have been made consistent with final type race; data for non-final candidates are not represented in the datafile. 12. Democrat incumbent running -- Republican challenger 14. Democrat incumbent running unopposed 21. Republican incumbent running -- Democratic challenger 24. Republican incumbent running unopposed 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 00. Inap, congressional race type did not change after interview was administered (0,2 in previous variable) ============================== VAR M960129 COLUMNS 4188 - 4188 NUMERIC Summary.3 Flag - incorrect congressional district administered in Pre ----------------------------------------------------------- Cases coded 1,2,3,4,5 have Pre variables referring to the House candidates NA. For code 2, if R also moved, the attempt to identify new CD was in error. Code 4 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 5 indicates cases where IWR thought assigned CD assignment incorrect. For code 7, variables referring to the House candidates are not NA. 1. CD incorrect because R moved (new CD not followed) 2. CD incorrect because misidentified 3. CD information not loaded into Pre CAPI application, House candidate questions not administered 4. CD incorrect - IWR error; IWR administered House cand names from wrong CD 5. CD incorrect - IWR error; IWR skipped House-related questions 7. CD incorrect, R moved and new CD not followed, but interviewer substituted correct names in interview (data not in error) 0. CD correctly identified for R in Pre; Washington DC ============================== VAR M960129A COLUMNS 4189 - 4189 NUMERIC Summary.4 Flag - incorrect congressional district administered in Post ----------------------------------------------------------- Cases coded 1,2,3,4,5 have Post variables referring to the House candidates NA. (Codes 1,2,3 include cases coded 1,2,3 in question Summary.3 which were still not corrected at the time of the Post.) Code 4 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 5 indicates cases where IWR thought assigned CD assignment incorrect. 1. CD incorrect in Pre due to move (CD not followed) -- error continued in Post 2. CD incorrect because misidentified in Pre -- error continued in Post 3. CD information not loaded into Post CAPI application, House candidate questions not administered 4. CD incorrect - IWR error; IWR administered House cand names from wrong CD 5. CD incorrect -- IWR error; IWR skipped House-related questions 7. CD incorrect; R moved and new CD not followed, but interviewer substituted correct names in interview (data not in error) 0. CD correctly identified for R in Post; Washington DC; no post IW ============================== VAR M960130 COLUMNS 4190 - 4190 NUMERIC Summary.5 Was R's Congressional district redistricted in 1996? ----------------------------------------------------------- This variable describes the status of the congressional district of R's 1994 interview (R's 1996 location or move status is not reflected). 1. Panel case - R's 1994 CD was redistricted in 1996 2. Panel case - R's 1994 CD was not redistricted in 1996 3. Portions of R's CD redistricted in 1996 but R not affected (R still in same CD in 1996) 0. Inap, 1996 cross-section ============================== VAR M960131 COLUMNS 4191 - 4191 NUMERIC Summary.6 (Panel only) Move status 1994-1996 ----------------------------------------------------------- This variable compares R's 1994 interview location with the location where R was found at the time of the 1996 Pre interview. Note: some congressional districts were redistricted in 1996. In all cases of redistricting (see question Summary 5), no Rs lived in the portions of their Congressional Districts which were affected by the redistricting, and all Rs coded 3 in Summary5 were coded in the same manner as Rs who lived in CDs where no redistricting took place. 1. Moved OUT OF 1994 congressional district 2. Moved WITHIN 1994 congressional district 3. R did not move but has 2 residences and was at different residence in 1996 4. R DID NOT MOVE to different location in 1996 9. NA 0. Inap, 1996 cross-section ============================== VAR M960131A COLUMNS 4192 - 4192 NUMERIC Summary.7 Move status, 1996 Pre-1996 Post ----------------------------------------------------------- This variable compares R's 1996 Pre interview location with R's 1996 Post interview location but has no bearing on the administration of House-candidate-related Post variables. Post variables are administered according to the state and CD at which R was located during the Pre interview, since in most cases Rs (if registered) have not changed registration since the Pre; moreover, in most cases Rs who moved between the Pre and Post were primarily exposed to the House campaigns of the candidates identified according to Pre state and CD. It was not systematically determined whether a new Post address was in a CD different from Pre CD unless R's new location was a different state. All cases where R was found in a different state in the Post are coded 1. Additionally, for several cases where R moved within state but information was discovered indicating change in CD, code 1 has also been coded. Cases coded 2 indicate that R moved within the same state, but CD status (regarding change of CD) was NA. 1. R Moved out of Pre CD 2. R Moved, NA if CD changed (R moved within same state) 3. R did not move but has 2 residences and was at different residence in Post 4. R did not move between Pre and Post interviews 0. Inap, no post IW ============================== VAR M960201 COLUMNS 4193 - 4193 NUMERIC A1 Some people don't pay much attention to political campaigns. How about you? Would you say that you have been VERY MUCH INTERESTED, SOMEWHAT INTERESTED, or NOT MUCH INTERESTED in the political campaigns so far this year? ----------------------------------------------------------- 1. Very much interested 2. Somewhat interested 3. Not much interested 8. DK 9. NA ============================== VAR M960202 COLUMNS 4194 - 4194 NUMERIC A2 Generally speaking, would you say that you personally CARE A GOOD DEAL who wins the presidential election this fall, or that you DON'T CARE VERY MUCH who wins? ----------------------------------------------------------- 1. Care a good deal 2. Don't care very much 8. DK 9. NA ============================== VAR M960203 COLUMNS 4195 - 4195 NUMERIC A3 In 1992 George Bush ran on the Republican ticket against Bill Clinton for the Democrats, and Ross Perot as an independent candidate. Do you remember for sure whether or not you voted in that election? ----------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] 1. Yes, voted 5. No, didn't vote 8. DK 9. NA; RF ============================== VAR M960204 COLUMNS 4196 - 4196 NUMERIC A3a IF R VOTED FOR PRESIDENT IN 1992: Which one did you vote for? ----------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] 1. George Bush 2. Bill Clinton 3. Ross Perot 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 5,8,9 in A3 ============================== VAR M960205 COLUMNS 4197 - 4197 NUMERIC A4 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. CLINTON that might make you want to vote FOR him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE]. Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960206 COLUMNS 4198 - 4201 NUMERIC A4a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A4 ============================== VAR M960207 COLUMNS 4202 - 4205 NUMERIC A4a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR M960208 COLUMNS 4206 - 4209 NUMERIC A4a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR M960209 COLUMNS 4210 - 4213 NUMERIC A4a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR M960210 COLUMNS 4214 - 4217 NUMERIC A4a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR M960211 COLUMNS 4218 - 4218 NUMERIC A5 Is there anything in particular about MR. CLINTON that might make you want to vote AGAINST him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960212 COLUMNS 4219 - 4222 NUMERIC A5a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A5 ============================== VAR M960213 COLUMNS 4223 - 4226 NUMERIC A5a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR M960214 COLUMNS 4227 - 4230 NUMERIC A5a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR M960215 COLUMNS 4231 - 4234 NUMERIC A5a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR M960216 COLUMNS 4235 - 4238 NUMERIC A5a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR M960217 COLUMNS 4239 - 4239 NUMERIC A6 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. DOLE that might make you want to vote FOR him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960218 COLUMNS 4240 - 4243 NUMERIC A6a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A6 ============================== VAR M960219 COLUMNS 4244 - 4247 NUMERIC A6a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR M960220 COLUMNS 4248 - 4251 NUMERIC A6a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR M960221 COLUMNS 4252 - 4255 NUMERIC A6a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR M960222 COLUMNS 4256 - 4259 NUMERIC A6a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR M960223 COLUMNS 4260 - 4260 NUMERIC A7 Is there anything in particular about MR. DOLE that might make you want to vote AGAINST him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960224 COLUMNS 4261 - 4264 NUMERIC A7a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A7 ============================== VAR M960225 COLUMNS 4265 - 4268 NUMERIC A7a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR M960226 COLUMNS 4269 - 4272 NUMERIC A7a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR M960227 COLUMNS 4273 - 4276 NUMERIC A7a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR M960228 COLUMNS 4277 - 4280 NUMERIC A7a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR M960229 COLUMNS 4281 - 4281 NUMERIC A8 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. PEROT that might make you want to vote FOR him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960230 COLUMNS 4282 - 4285 NUMERIC A8a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A8 ============================== VAR M960231 COLUMNS 4286 - 4289 NUMERIC A8a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR M960232 COLUMNS 4290 - 4293 NUMERIC A8a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR M960233 COLUMNS 4294 - 4297 NUMERIC A8a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR M960234 COLUMNS 4298 - 4301 NUMERIC A8a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR M960235 COLUMNS 4302 - 4302 NUMERIC A9 Is there anything in particular about MR. PEROT that might make you want to vote AGAINST him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960236 COLUMNS 4303 - 4306 NUMERIC A9a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A9 ============================== VAR M960237 COLUMNS 4307 - 4310 NUMERIC A9a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR M960238 COLUMNS 4311 - 4314 NUMERIC A9a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR M960239 COLUMNS 4315 - 4318 NUMERIC A9a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR M960240 COLUMNS 4319 - 4322 NUMERIC A9a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR M960241 COLUMNS 4323 - 4323 NUMERIC A10 Do you have either cable or satellite television? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960242 COLUMNS 4324 - 4324 NUMERIC A11 How many days IN THE PAST WEEK did you watch the national news on TV? ----------------------------------------------------------- 0. None 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Every day 8. DK 9. NA ============================== VAR M960243 COLUMNS 4325 - 4325 NUMERIC A11a IF R HAS WATCHED NATIONAL NEWS ON TV IN THE PAST WEEK: (Please look at page 1 of the booklet). How much attention did you pay to news on national news shows about the campaign for President-- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. Very little 5. None 8. DK 9. NA 0. Inap, 0,8,9 in A11 ============================== VAR M960244 COLUMNS 4326 - 4326 NUMERIC A12 How many days IN THE PAST WEEK did you watch the local TV news, for example, "Eyewitness News" or "Action News"? ----------------------------------------------------------- 0. None 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Every day 8. DK 9. NA ============================== VAR M960245 COLUMNS 4327 - 4327 NUMERIC A12a IF R HAS WATCHED LOCAL NEWS ON TV IN THE PAST WEEK: (Looking at page 1 of the booklet). How much attention did you pay to news on local news shows about the campaign for President-- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. Very little 5. None 8. DK 9. NA 0. Inap, 0,8,9 in A12 ============================== VAR M960246 COLUMNS 4328 - 4328 NUMERIC A13 How many days IN THE PAST WEEK did you read a daily newspaper? ----------------------------------------------------------- 0. None 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Every day 8. DK 9. NA ============================== VAR M960247 COLUMNS 4329 - 4329 NUMERIC A13a IF R HAS READ A DAILY NEWSPAPER IN THE PAST WEEK: Did you read about the campaign in any newspaper? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 0,8,9 in A13 ============================== VAR M960248 COLUMNS 4330 - 4330 NUMERIC A13b IF R HAS READ ABOUT THE CAMPAIGN IN A NEWSPAPER: (Looking at page 1 of the booklet). How much attention did you pay to newspaper articles about the campaign for President--A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. Very little 5. None 8. DK 9. NA 0. Inap, 0,8,9 in A13; 5,8,9 in A13a ============================== VAR M960249 COLUMNS 4331 - 4331 NUMERIC A14 Do you recall seeing any ads for the political candidates on television this fall? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA ============================== VAR M960250 COLUMNS 4332 - 4332 NUMERIC A14a IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: I'd like you to think for a moment about the one ad you remember best. Do you happen to recall which candidate sponsored that ad? ----------------------------------------------------------- 1. No - don't recall 2. Clinton 3. Dole 4. Perot 5. Ad was not for/by a specific candidate 6. State or local candidate 7. Other (specify) 8. DK 9. NA; RF 0. Inap, 5,8,9 in A14 ============================== VAR M960251 COLUMNS 4333 - 4335 NUMERIC A14b(1) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 1] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 5,8,9 in A14; 9 in A14a ============================== VAR M960252 COLUMNS 4336 - 4338 NUMERIC A14b(2) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 2] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR M960253 COLUMNS 4339 - 4341 NUMERIC A14b(3) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 3] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR M960254 COLUMNS 4342 - 4344 NUMERIC A14b(4) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 4] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR M960255 COLUMNS 4345 - 4347 NUMERIC A14b(5) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV : (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 5] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR M960256 COLUMNS 4348 - 4348 NUMERIC B1 As you know, representatives to Congress in Washington will be chosen in this election from congressional districts all around the country. How much would you say that you personally care about the way the election to the U.S. House of Representatives comes out: do you care VERY MUCH, PRETTY MUCH, NOT VERY MUCH or NOT AT ALL? ----------------------------------------------------------- 1. Very much 2. Pretty much 3. Not very much 4. Not at all 8. DK 9. NA ============================== VAR M960257 COLUMNS 4349 - 4349 NUMERIC B2 Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who are running in the November election from this district? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA; RF; Inap, Washington DC ============================== VAR M960258 COLUMNS 4350 - 4351 NUMERIC B2a(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] 1ST RECALLED NAME ----------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name not on candidate list 98. DK 99. NA 00. Inap, 5,8,9 in B2 ============================== VAR M960259 COLUMNS 4352 - 4352 NUMERIC B2b(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. 1. Democrat 2. Republican 7. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in B2 ============================== VAR M960260 COLUMNS 4353 - 4353 NUMERIC B2c(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 1ST RECALLED CANDIDATE ----------------------------------------------------------- Built from B2a(1). See note B2a(1). 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on candidate list (97) 8. DK name but know party 9. DK name and DK/NA party; NA 0. Inap, 5,8,9 in B2 ============================== VAR M960261 COLUMNS 4354 - 4354 NUMERIC B2x(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 1ST RECALL ACCURACY ----------------------------------------------------------- Built from B2a(1), B2b(1). See notes in B2a(1), B2b(1). 1. Valid candidate name given and correct party associated with name 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party mention; no candidate name given (NA) -- DK for party mention 9. NA for candidate name and NA for party mention 0. Inap, 5,8,9 in B2 ============================== VAR M960262 COLUMNS 4355 - 4356 NUMERIC B2a(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ) 2ND RECALLED NAME ----------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name not on candidate list 98. DK 99. NA 00. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960263 COLUMNS 4357 - 4357 NUMERIC B2b(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF 2ND RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. 1. Democrat 2. Republican 7. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960264 COLUMNS 4358 - 4358 NUMERIC B2c(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 2ND RECALLED CANDIDATE ----------------------------------------------------------- Built from B2a(2). See note B2a(2). 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on candidate list (97) 8. DK name but know party 9. DK name and DK/NA party; NA 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960265 COLUMNS 4359 - 4359 NUMERIC B2x(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 2ND RECALL ACCURACY ----------------------------------------------------------- Built from B2a(2), B2b(2). See notes in B2a(2), B2b(2). 1. Valid candidate name given and correct party associated with name 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party mention; no candidate name given (NA) -- DK for party mention 9. NA for candidate name and NA for party mention 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960266 COLUMNS 4360 - 4361 NUMERIC B2a(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] 3RD RECALLED NAME ----------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name not on candidate list 98. DK 99. NA 00. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960267 COLUMNS 4362 - 4362 NUMERIC B2b(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF 3RD RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. 1. Democrat 2. Republican 7. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960268 COLUMNS 4363 - 4363 NUMERIC B2c(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 3RD RECALLED CANDIDATE ----------------------------------------------------------- Built from B2a(3). See note B2a(3). 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on candidate list (97) 8. DK name but know party 9. DK name and DK/NA party; NA 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960269 COLUMNS 4364 - 4364 NUMERIC B2x(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 3RD RECALL ACCURACY ----------------------------------------------------------- Built from B2a(3), B2b(3). See notes in B2a(3), B2b(3). 1. Valid candidate name given and correct party associated with name 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party mention; no candidate name given (NA) -- DK for party mention 9. NA for candidate name and NA for party mention 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR M960270 COLUMNS 4365 - 4365 NUMERIC B3 Do you APPROVE or DISAPPROVE of the way the U.S. Congress has been handling its job? ----------------------------------------------------------- 1. Approve 5. Disapprove 8. DK 9. NA; RF ============================== VAR M960271 COLUMNS 4366 - 4366 NUMERIC B3a/b IF R APPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: / IF R DISAPPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from B3, B3a/b. 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA; RF 0. Inap, 8,9 in B3 ============================== D1 (Please look at page 2 of the booklet.) I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you dn't need to rate the person. Just tell me and we'll move on to the next one. ----------------------------------------------------------- ============================== VAR M960272 COLUMNS 4367 - 4369 NUMERIC D1a (Looking at page 2 of the booklet) (How would you rate) BILL CLINTON? CLINTON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960273 COLUMNS 4370 - 4372 NUMERIC D1b (Looking at page 2 of the booklet) (How would you rate) BOB DOLE? DOLE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR M960274 COLUMNS 4373 - 4375 NUMERIC D1c (Looking at page 2 of the booklet) (How would you rate) ROSS PEROT? PEROT THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960275 COLUMNS 4376 - 4378 NUMERIC D1d (Looking at page 2 of the booklet) (How would you rate) AL GORE? GORE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960276 COLUMNS 4379 - 4381 NUMERIC D1e (Looking at page 2 of the booklet) (How would you rate) JACK KEMP? KEMP THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960277 COLUMNS 4382 - 4384 NUMERIC D1f (Looking at page 2 of the booklet) (How would you rate) PAT CHOATE? CHOATE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Pat Choate was chosen as the Reform Party Vice- Presidential candidate on September 10, 1996 and beginning September 11, a thermometer question was administered using his name. However, prior to September 11, a thermometer was was administered for James S. Campbell (V960277a), the name submitted by Perot to satisfy the requirements of candidacy status until a Vice-Presidential candidate was selected. See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 996. Inap, Campbell rating 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960277A COLUMNS 4385 - 4387 NUMERIC D1f (Looking at page 2 of the booklet) (How would you rate) JAMES S. CAMPBELL CAMPBELL THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Pat Choate was chosen as the Reform Party Vice- Presidential candidate on September 10, 1996 and beginning September 11, a thermometer question was administered using his name (V960277). However, prior to September 11, a thermometer was was administered for James S. Campbell, the name submitted by Perot to satisfy the requirements of candidacy status until a Vice-Presidential candidate was selected. See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 996. Inap, Choate rating 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR M960278 COLUMNS 4388 - 4390 NUMERIC D1g (Looking at page 2 of the booklet) (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF; Inap, no Democratic House candidate (House race type 24) or Washington DC ============================== VAR M960279 COLUMNS 4391 - 4393 NUMERIC D1h (Looking at page 2 of the booklet) (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF; Inap, no Republican House candidate (House race type 14) or Washington DC ============================== VAR M960280 COLUMNS 4394 - 4396 NUMERIC D1j (Looking at page 2 of the booklet) (How would you rate) [NAME #41,42]? RETIRING HOUSE INCUMBENT THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; Inap, no retiring House incumbent (type race 12,14,21,24) or Washington DC ============================== VAR M960281 COLUMNS 4397 - 4399 NUMERIC D1k (Looking at page 2 of the booklet) (How would you rate) HILLARY CLINTON? HILLARY CLINTON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960282 COLUMNS 4400 - 4402 NUMERIC D1m (Looking at page 2 of the booklet) (How would you rate) PAT BUCHANAN? BUCHANAN THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960283 COLUMNS 4403 - 4405 NUMERIC D1n (Looking at page 2 of the booklet) (How would you rate) JESSE JACKSON? JACKSON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960284 COLUMNS 4406 - 4408 NUMERIC D1p (Looking at page 2 of the booklet) (How would you rate) NEWT GINGRICH? GINGRICH THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960285 COLUMNS 4409 - 4411 NUMERIC D1q (Looking at page 2 of the booklet) (How would you rate) COLIN POWELL? POWELL THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960286 COLUMNS 4412 - 4414 NUMERIC D1r (Looking at page 2 of the booklet) (How would you rate) STEVE FORBES? FORBES THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960287 COLUMNS 4415 - 4417 NUMERIC D1s (Looking at page 2 of the booklet) (How would you rate) PHIL GRAMM? GRAMM THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960288 COLUMNS 4418 - 4420 NUMERIC D1t (Looking at page 2 of the booklet) (How would you rate) LOUIS FARRAKHAN? FARRAKHAN THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960289 COLUMNS 4421 - 4423 NUMERIC D1u (Looking at page 2 of the booklet) (How would you rate) LAMAR ALEXANDER? ALEXANDER THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960290 COLUMNS 4424 - 4426 NUMERIC D1v (Looking at page 2 of the booklet) (How would you rate) ELIZABETH DOLE? ELIZABETH DOLE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960291 COLUMNS 4427 - 4429 NUMERIC D1w (Looking at page 2 of the booklet) (How would you rate) PAT ROBERTSON? ROBERTSON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960292 COLUMNS 4430 - 4432 NUMERIC D2a (Looking at page 2 of the booklet.) (Still using the thermometer, how would you rate:) The Democratic Party? DEMOCRATIC PARTY THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of major parties D2a-D2b was randomized. See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960293 COLUMNS 4433 - 4435 NUMERIC D2b (Looking at page 2 of the booklet.) (Still using the thermometer, how would you rate:) The Republican Party? REPUBLICAN PARTY THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of major parties D2a-D2b was randomized. See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960294 COLUMNS 4436 - 4438 NUMERIC D2c [RB] (Still using the thermometer, how would you rate:) Political parties in general? POLITICAL PARTIES IN GENERAL - THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M960295 COLUMNS 4439 - 4439 NUMERIC E1 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING HIS JOB AS PRESIDENT? ----------------------------------------------------------- 1. Approve 5. Disapprove 8. DK 9. NA; RF ============================== VAR M960296 COLUMNS 4440 - 4440 NUMERIC E1a/b IF R APPROVES CLINTON'S HANDLING HIS JOB AS PRESIDENT: / IF R DISAPPROVES CLINTON'S HANDLING HIS JOB AS PRESIDENT: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E1,E1a/b. 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA; RF 0. Inap, 8,9 in E1 ============================== VAR M960297 COLUMNS 4441 - 4441 NUMERIC E2 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING THE ECONOMY? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Approve 5. Disapprove 8. DK 9. NA; RF ============================== VAR M960298 COLUMNS 4442 - 4442 NUMERIC E2a/b IF R APPROVES CLINTON'S HANDLING OF THE ECONOMY: / IF R DISAPPROVES CLINTON'S HANDLING OF THE ECONOMY: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E2, E2a/b. 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA; RF 0. Inap, 8,9 in E2 ============================== VAR M960299 COLUMNS 4443 - 4443 NUMERIC E3 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Approve 5. Disapprove 8. DK 9. NA; RF ============================== VAR M960300 COLUMNS 4444 - 4444 NUMERIC E3a/b IF R APPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: / IF R DISAPPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E3, E3a/b. 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA; RF 0. Inap, 8,9 in E3 ============================== VAR M960301 COLUMNS 4445 - 4445 NUMERIC E4 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING THE ENVIRONMENT? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Approve 5. Disapprove 8. DK 9. NA; RF ============================== VAR M960302 COLUMNS 4446 - 4446 NUMERIC E4a/b IF R APPROVES OF THE WAY CLINTON IS HANDLING THE ENVIRONMENT :/ IF R DISAPPROVES OF THE WAY CLINTON IS HANDLING THE ENVIRONMENT: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E4, E4a/b. 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA; RF 0. Inap, 8,9 in E4 ============================== VAR M960303 COLUMNS 4447 - 4447 NUMERIC E5 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING HEALTH CARE? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Approve 5. Disapprove 8. DK 9. NA; RF ============================== VAR M960304 COLUMNS 4448 - 4448 NUMERIC E5a/b IF R APPROVES CLINTON'S HANDLING OF HEALTH CARE / IF R DISAPPROVES CLINTON'S HANDLING OF HEALTH CARE: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E5, E5a/b. 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA; RF 0. Inap, 8,9 in E5 ============================== VAR M960305 COLUMNS 4449 - 4449 NUMERIC E6a (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) PROTECTING THE ENVIRONMENT (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 9. NA; RF ============================== VAR M960306 COLUMNS 4450 - 4450 NUMERIC E6b (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) REDUCING THE BUDGET DEFICIT (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 9. NA; RF ============================== VAR M960307 COLUMNS 4451 - 4451 NUMERIC E6c (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) IMPROVING PUBLIC EDUCATION (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 9. NA; RF ============================== VAR M960308 COLUMNS 4452 - 4452 NUMERIC E6d (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) REDUCING THE POWER OF SPECIAL INTERESTS IN POLITICAL CAMPAIGNS (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 9. NA; RF ============================== VAR M960309 COLUMNS 4453 - 4453 NUMERIC E7 (Looking at page 3 of the booklet) Which presidential candidate is more likely to RAISE TAXES --[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them? ----------------------------------------------------------- Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 9. NA; RF ============================== VAR M960310 COLUMNS 4454 - 4454 NUMERIC E8 (Looking at page 3 of the booklet) Which presidential candidate is more likely to CUT SOCIAL SECURITY BENEFITS --[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them? ----------------------------------------------------------- Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 9. NA; RF ============================== VAR M960311 COLUMNS 4455 - 4456 NUMERIC E9 Who do you think is more to blame for the federal budget deficit, the CLINTON ADMINISTRATION or the REPUBLICAN CONGRESS? ----------------------------------------------------------- 1. Clinton 2. Republican Congress 3. Both Clinton and Republican Congress [VOL] 4. Neither Clinton nor Republican Congress [VOL] 5. Inheirited from the past/ developed over many years [VOL] 6. Reagan, Reagan/Bush, "Reaganomics" [VOL] 7. Past Republicans, "Republicans" [VOL] 8. Democratic Congress [VOL] 9. Past Democrats, "Democrats" [VOL] 10. Reagan/Bush and Democratic Congress [VOL] 11. Past administrations, past Congresses (NFS - not further specified) [VOL] 97. Other (specify) [VOL] 98. DK 99. NA; RF ============================== VAR M960312 COLUMNS 4457 - 4457 NUMERIC E10 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half ot the respondents were randomly selected for administration of questions F1-F4. 0. Respondent not randomly selected for F1-F4 questions 1. Respondent randomly selected for F1-F4 questions ============================== VAR M960313 COLUMNS 4458 - 4458 NUMERIC F1 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: (I'd like to ask you what you think are the good and bad points about the two NATIONAL PARTIES.) Is there anything in particular that you LIKE about the Republican party? ----------------------------------------------------------- Introductory sentence precedes question text only if first party. Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 0 in E10 ============================== VAR M960314 COLUMNS 4459 - 4462 NUMERIC F1a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F1 ============================== VAR M960315 COLUMNS 4463 - 4466 NUMERIC F1a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR M960316 COLUMNS 4467 - 4470 NUMERIC F1a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR M960317 COLUMNS 4471 - 4474 NUMERIC F1a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR M960318 COLUMNS 4475 - 4478 NUMERIC F1a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR M960319 COLUMNS 4479 - 4479 NUMERIC F2 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: Is there anything in particular that you DON'T LIKE about the Republican party? ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 0 in E10 ============================== VAR M960320 COLUMNS 4480 - 4483 NUMERIC F2a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F2 ============================== VAR M960321 COLUMNS 4484 - 4487 NUMERIC F2a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR M960322 COLUMNS 4488 - 4491 NUMERIC F2a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR M960323 COLUMNS 4492 - 4495 NUMERIC F2a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR M960324 COLUMNS 4496 - 4499 NUMERIC F2a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR M960325 COLUMNS 4500 - 4500 NUMERIC F3 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: (I'd like to ask you what you think are the good and bad points about the two NATIONAL PARTIES.) Is there anything in particular that you LIKE about the Democratic party? ----------------------------------------------------------- Introductory sentence precedes question text only if first party. Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA 0. Inap, 0 in E10 ============================== VAR M960326 COLUMNS 4501 - 4504 NUMERIC F3a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F3 ============================== VAR M960327 COLUMNS 4505 - 4508 NUMERIC F3a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR M960328 COLUMNS 4509 - 4512 NUMERIC F3a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR M960329 COLUMNS 4513 - 4516 NUMERIC F3a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR M960330 COLUMNS 4517 - 4520 NUMERIC F3a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR M960331 COLUMNS 4521 - 4521 NUMERIC F4 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: Is there anything in particular that you DON'T LIKE about the Democratic party? ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 0 in E10 ============================== VAR M960332 COLUMNS 4522 - 4525 NUMERIC F4a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F4 ============================== VAR M960333 COLUMNS 4526 - 4529 NUMERIC F4a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR M960334 COLUMNS 4530 - 4533 NUMERIC F4a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR M960335 COLUMNS 4534 - 4537 NUMERIC F4a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR M960336 COLUMNS 4538 - 4541 NUMERIC F4a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR M960337 COLUMNS 4542 - 4542 NUMERIC F5 We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are BETTER off or WORSE off financially than you were a year ago? ----------------------------------------------------------- 1. Better 3. Worse 5. The same [VOL] 8. DK 9. NA; RF ============================== VAR M960338 COLUMNS 4543 - 4543 NUMERIC F5a/b IF R IS BETTER OFF FINANCIALLY THAN A YEAR AGO: / IF R IS WORSE OFF FINANCIALLY THAN A YEAR AGO: a.Is that MUCH better off or SOMEWHAT better off? b.Is that MUCH worse off or SOMEWHAT worse off? ----------------------------------------------------------- Built from F5, F5a/b. 1. Much better 2. Somewhat better 3. Same (5 in F5) 4. Somewhat worse 5. Much worse 8. DK 9. NA; RF 0. Inap, 8,9 in F5 ============================== VAR M960339 COLUMNS 4544 - 4544 NUMERIC F6 Now looking ahead, do you think that a year from now you (and your family living here) will be BETTER off financially, WORSE off, or JUST ABOUT THE SAME as now? ----------------------------------------------------------- 1. Better 3. Worse 5. Just about the same [VOL] 8. DK 9. NA; RF ============================== VAR M960340 COLUMNS 4545 - 4545 NUMERIC F6a/b IF R THINKS WILL BE BETTER OFF FINANCIALLY A YEAR FROM NOW: / IF R THINKS WILL BE WORSE OFF FINANCIALLY A YEAR FROM NOW: a. Is that MUCH better off or SOMEWHAT better off? b. Is that MUCH worse off or SOMEWHAT worse off? ----------------------------------------------------------- Built from F6, F6a/b. 1. Much better 2. Somewhat better 3. Same (5 in F6) 4. Somewhat worse 5. Much worse 8. DK 9. NA; RF 0. Inap, 8,9 in F6 ============================== G1 Now we would like to know something about the feelings you have toward the candidates for President. I am going to name a candidate, and I want you to tell me whether something about that person, or something he has done, has made you have certain feelings like anger or pride. ----------------------------------------------------------- ============================== VAR M960341 COLUMNS 4546 - 4546 NUMERIC G1a (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960342 COLUMNS 4547 - 4547 NUMERIC G1a(1) IF CLINTON HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA; RF 0. Inap, 5,8,9 in G1a ============================== VAR M960343 COLUMNS 4548 - 4548 NUMERIC G1b (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960344 COLUMNS 4549 - 4549 NUMERIC G1b(1) IF CLINTON HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL--) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G1b ============================== VAR M960345 COLUMNS 4550 - 4550 NUMERIC G1c (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA ============================== VAR M960346 COLUMNS 4551 - 4551 NUMERIC G1c(1) IF CLINTON HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G1c ============================== VAR M960347 COLUMNS 4552 - 4552 NUMERIC G1d (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960348 COLUMNS 4553 - 4553 NUMERIC G1d(1) IF CLINTON HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA; RF 0. Inap, 5,8,9 in G1d ============================== VAR M960349 COLUMNS 4554 - 4554 NUMERIC G2a (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA ============================== VAR M960350 COLUMNS 4555 - 4555 NUMERIC G2a(1) IF DOLE HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA; RF 0. Inap, 5,8,9 in G2a ============================== VAR M960351 COLUMNS 4556 - 4556 NUMERIC G2b (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960352 COLUMNS 4557 - 4557 NUMERIC G2b(1) IF DOLE HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G2b ============================== VAR M960353 COLUMNS 4558 - 4558 NUMERIC G2c (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960354 COLUMNS 4559 - 4559 NUMERIC G2c(1) IF DOLE HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G2c ============================== VAR M960355 COLUMNS 4560 - 4560 NUMERIC G2d (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960356 COLUMNS 4561 - 4561 NUMERIC G2d(1) IF DOLE HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA; RF 0. Inap, 5,8,9 in G2d ============================== VAR M960357 COLUMNS 4562 - 4562 NUMERIC G3a (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, interview conducted after question withdrawn ============================== VAR M960358 COLUMNS 4563 - 4563 NUMERIC G3a(1) IF PEROT HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G3a; interview conducted after question withdrawn ============================== VAR M960359 COLUMNS 4564 - 4564 NUMERIC G3b (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, interview conducted after question withdrawn ============================== VAR M960360 COLUMNS 4565 - 4565 NUMERIC G3b(1) IF PEROT HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G3b; interview conducted after question withdrawn ============================== VAR M960361 COLUMNS 4566 - 4566 NUMERIC G3c (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, interview conducted after question withdrawn ============================== VAR M960362 COLUMNS 4567 - 4567 NUMERIC G3c(1) IF PEROT HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G3c; interview conducted after question withdrawn ============================== VAR M960363 COLUMNS 4568 - 4568 NUMERIC G3d (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, interview conducted after question withdrawn ============================== VAR M960364 COLUMNS 4569 - 4569 NUMERIC G3d(1) IF PEROT HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Very often 2. Fairly often 3. Occasionally 4. Rarely 8. DK 9. NA 0. Inap, 5,8,9 in G3d; interview conducted after question withdrawn ============================== G4 Please look at page 4 of the booklet. We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. ----------------------------------------------------------- ============================== VAR M960365 COLUMNS 4570 - 4570 NUMERIC G4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer instruction: DO NOT PROBE "DK"] See G4 for full text. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF 0. Haven't thought much [DO NOT PROBE] ============================== VAR M960366 COLUMNS 4571 - 4571 NUMERIC G4aa IF R SAYS DK, HAVEN'T THOUGHT OR MODERATE FOR SELF-PLACEMENT ON LIBERAL/CONSERVATIVE SCALE: If you had to choose, would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 1. Liberal 2. Conservative 3. Moderate [VOL] 7. R refuses to choose [VOL] 8. DK 9. NA 0. Inap, 1-3,5-7,9 in G4a ============================== VAR M960367 COLUMNS 4572 - 4572 NUMERIC G4a(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT G4a/G4aa: How certain are you of this? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 9 in G4a; 7,8,9 in G4aa ============================== VAR M960368 COLUMNS 4573 - 4573 NUMERIC G4x SUMMARY- SELF PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- See G4 and G4a/G4aa for full question texts. Built from G4a, G4aa. 1. Liberal (1/2/3,0; 0/4/8,1) 3. Moderate (0/4/8,3; 4,7/8/9) 5. Conservative (5/6/7,0; 0/4/8,2) 7. Refused to choose (0/8,7) 8. DK (0/8,8) 9. NA/RF to entire question series (9,0) 0. NA to follow up question G4aa (0/8,9) ============================== VAR M960369 COLUMNS 4574 - 4574 NUMERIC G5 [RB] Where would you place Bill Clinton on this scale? CLINTON PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF ============================== VAR M960370 COLUMNS 4575 - 4575 NUMERIC G5a IF R HAS PLACED BILL CLINTON ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BILL CLINTON'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN?) ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in G5 ============================== VAR M960371 COLUMNS 4576 - 4576 NUMERIC G6 [RB] Where would you place Bob Dole on this scale? DOLE PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF ============================== VAR M960372 COLUMNS 4577 - 4577 NUMERIC G6a IF R HAS PLACED BOB DOLE ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BOB DOLE'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in G6 ============================== VAR M960373 COLUMNS 4578 - 4578 NUMERIC G7 [RB] Where would you place Ross Perot on this scale? PEROT PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF ============================== VAR M960374 COLUMNS 4579 - 4579 NUMERIC G7a IF R HAS PLACED ROSS PEROT ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of ROSS PEROT'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in G7 ============================== VAR M960375 COLUMNS 4580 - 4580 NUMERIC G8 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT G4/G4a: [RB] Where would you place [NAME #31,33,35] on this scale? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. House candidate names G8-G9 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA 0. Inap, no Democratic House candidate (race type 24); 0,7,8,9 in G4x; Washington DC ============================== VAR M960376 COLUMNS 4581 - 4581 NUMERIC G8a IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED DEMOCRATIC HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you (of [NAME #31,33,35]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA 0. Inap, 8,9 in G8; 0,7,8,9 in G4x; no Democratic House candidate (race type 24); Washington DC ============================== VAR M960377 COLUMNS 4582 - 4582 NUMERIC G9 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #32,34,36] on this scale? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. House candidate names G8-G9 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF 0. Inap, no Republican House candidate (race type 14); 0,7,8,9 in G4x; Washington DC ============================== VAR M960378 COLUMNS 4583 - 4583 NUMERIC G9a IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE : IF R HAS PLACED REPUBLICAN HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE : How certain are you (of [NAME #32,34,36]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in G9; 07,8,9 in G4x; no Republican House candidate (race type 14); Washington DC ============================== VAR M960379 COLUMNS 4584 - 4584 NUMERIC G10 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place the Democratic Party on this scale? DEMOCRATIC PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Major parties G10-G11 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF 0. Inap, 0,7,8,9 in G4x ============================== VAR M960380 COLUMNS 4585 - 4585 NUMERIC G11 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place the Republican Party on this scale? REPUBLICAN PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"]. See G4 for full text. Major parties G10-G11 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate; middle of the road 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; RF 0. Inap, 0,7,8,9 in G4x ============================== VAR M960381 COLUMNS 4586 - 4586 NUMERIC G12 Who do you think will be elected President in November? ----------------------------------------------------------- 1. Bill Clinton 2. Bob Dole 3. Ross Perot 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960382 COLUMNS 4587 - 4587 NUMERIC G12a/b IF R NAMES CANDIDATE R THINKS WILL WIN THE PRESIDENTIAL ELECTION: / IF R SAYS DON'T KNOW WHO WILL WIN PRESIDENTIAL ELECTION: a. Do you think the Presidential race will be close or will [NAME GIVEN] win by quite a bit? b. Do you think the Presidential race will be close or will one candidate win by quite a bit? ----------------------------------------------------------- 1. Will be close 2. Win by quite a bit 8. DK 9. NA 0. Inap, 9 in G12 ============================== VAR M960383 COLUMNS 4588 - 4588 NUMERIC G12c What about here in (STATE)? Which candidate for President do you think will carry this state? [IF NECESSARY: Which candidate will WIN in this state?] ----------------------------------------------------------- 1. Bill Clinton 3. Bob Dole 5. Ross Perot 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960384 COLUMNS 4589 - 4589 NUMERIC G12d/e IF R NAMES CANDIDATE R THINKS WILL WIN THE PRESIDENTIAL ELECTION IN R's STATE: / IF R SAYS DON'T KNOW WHO WILL WIN PRESIDENTIAL ELECTION IN R's STATE: d. Do you think the Presidential race will be close here in (STATE) or will (NAME) win by quite a bit? e. Do you think the Presidential race will be close here in (STATE) or will one candidate win by quite a bit? ----------------------------------------------------------- 1. Close race 3. Win by quite a bit 8. DK 9. NA; RF 0. Inap, 9 in G12c ============================== VAR M960385 COLUMNS 4590 - 4590 NUMERIC H1 Now thinking about the economy in the country as a whole, would you say that over the past year the nation's economy has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? ----------------------------------------------------------- 1. Gotten better 3. Stayed about the same 5. Gotten worse 8. DK 9. NA ============================== VAR M960386 COLUMNS 4591 - 4591 NUMERIC H1a/b IF R SAYS ECONOMY HAS GOTTEN BETTER: / IF R SAYS ECONOMY HAS GOTTEN WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- Built from H1, H1a/b. 1. Much better 2. Somewhat better 3. Same (3 in H1) 4. Somewhat worse 5. Much worse 8. DK 9. NA 0. Inap, 8,9 in H1 ============================== VAR M960387 COLUMNS 4592 - 4592 NUMERIC H2 What about the next 12 months? Do you expect the economy to GET BETTER, GET WORSE or STAY ABOUT THE SAME? ----------------------------------------------------------- 1. Get better 3. Get worse 5. Stay about the same 8. DK 9. NA; RF ============================== VAR M960388 COLUMNS 4593 - 4593 NUMERIC H2a/b IF R SAYS ECONOMY WILL GET BETTER: / IF R SAYS ECONOMY WILL GET WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- Built from H2, H2a/b. 1. Much better 2. Somewhat better 3. Same (5 in H2) 4. Somewhat worse 5. Much worse 8. DK 9. NA 0. Inap, 8,9 in H2 ============================== VAR M960389 COLUMNS 4594 - 4594 NUMERIC H3 Do you think that twenty years from now, the standard of living for the people who are just children now will be BETTER, ABOUT THE SAME, or WORSE than it is today? ----------------------------------------------------------- 1. Better 3. About the same 5. Worse 8. DK 9. NA; RF ============================== VAR M960390 COLUMNS 4595 - 4595 NUMERIC H3.1 Over the past year would you say that the economic policies of the federal government have made the nation's economy BETTER, WORSE, or HAVEN'T THEY MADE MUCH DIFFERENCE either way? ----------------------------------------------------------- 1. Better 3. Worse 5. They haven't made much difference 8. DK 9. NA; RF ============================== VAR M960391 COLUMNS 4596 - 4596 NUMERIC H3.1a/b IF R SAYS POLICIES HAVE MADE ECONOMY BETTER: / IF R SAYS POLICIES HAVE MADE ECONOMY WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- Built from H3.1, H3.1a/b. 1. Much better 2. Somewhat better 3. Same (5 in H3.1) 4. Somewhat worse 5. Much worse 8. DK 9. NA 0. Inap, 8,9 in H3.1 ============================== VAR M960392 COLUMNS 4597 - 4597 NUMERIC H3.2 Would you say that the size of the yearly budget deficit INCREASED, DECREASED, or STAYED ABOUT THE SAME during Clinton's time as President? ----------------------------------------------------------- 1. Increased 2. Decreased 3. Stayed about the same 8. DK 9. NA; RF ============================== VAR M960393 COLUMNS 4598 - 4598 NUMERIC H3.2a/b IF R SAYS SIZE OF DEFICIT HAS INCREASED: / IF R SAYS SIZE OF DEFICIT HAS DECREASED: a. Would you say it increased A LOT or A LITTLE? b. Would you say it decreased A LOT or A LITTLE? ----------------------------------------------------------- Built from H3.2, H3.2a/b. 1. Increased a lot 2. Increased a little 3. Same (3 in H3.2) 4. Decreased a little 5. Decreased a lot 8. DK 9. NA 0. Inap, 8,9 in H3.2 ============================== VAR M960394 COLUMNS 4599 - 4599 NUMERIC H3.3 Would you say that the federal income tax paid by the average working person has INCREASED, DECREASED, or STAYED ABOUT THE SAME during Clinton's time as President? ----------------------------------------------------------- 1. Increased 2. Decreased 3. Stayed about the same 8. DK 9. NA; RF ============================== VAR M960395 COLUMNS 4600 - 4600 NUMERIC H3.3a/b IF R SAYS INCOME TAX HAS INCREASED: / IF R SAYS INCOME TAX HAS DECREASED: a. Would you say it increased A LOT or A LITTLE? b. Would you say it decreased A LOT or A LITTLE? ----------------------------------------------------------- Built from H3.3, H3.3a/b. 1. Increased a lot 2. Increased a little 3. Same (3 in H3.3) 4. Decreased a little 5. Decreased a lot 8. DK 9. NA; RF 0. Inap, 8,9 in H3.3 ============================== VAR M960396 COLUMNS 4601 - 4601 NUMERIC H4 H4. HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half of the respondents were randomly chosen for administration of questions H4a-H8 0. Respondent was not randomly selected for questions H4a-H8 1. Respondent was randomly selected for questions H4a-H8 ============================== VAR M960397 COLUMNS 4602 - 4602 NUMERIC H4a IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE NATION'S ECONOMY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960398 COLUMNS 4603 - 4603 NUMERIC H4b IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING FOREIGN AFFAIRS ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960399 COLUMNS 4604 - 4604 NUMERIC H4c IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) MAKING HEALTH CARE MORE AFFORDABLE ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960400 COLUMNS 4605 - 4605 NUMERIC H4d IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) REFORMING THE WELFARE SYSTEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960401 COLUMNS 4606 - 4606 NUMERIC H4e IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE PROBLEM OF POVERTY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960402 COLUMNS 4607 - 4607 NUMERIC H4f IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE BUDGET DEFICIT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960403 COLUMNS 4608 - 4608 NUMERIC H4g IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE PROBLEM OF POLLUTION AND THE ENVIRONMENT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960404 COLUMNS 4609 - 4609 NUMERIC H4h IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) DEALING WITH THE CRIME PROBLEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960405 COLUMNS 4610 - 4610 NUMERIC H5 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to CUT SOCIAL SECURITY BENEFITS (the Democrats, the Republicans), or wouldn't there be much difference between them? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H5. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrat 2. Republican 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960406 COLUMNS 4611 - 4611 NUMERIC H6 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to IMPROVE RACE RELATIONS, (the Democrats, the Republicans), or wouldn't there be much difference between them? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H6. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrat 2. Republican 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960407 COLUMNS 4612 - 4612 NUMERIC H7 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to RAISE TAXES, (the Democrats, the Republicans), or wouldn't there be much difference between them? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H7. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrat 2. Republican 3. Wouldn't be much difference between them/ No 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960408 COLUMNS 4613 - 4613 NUMERIC H8 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Looking ahead, do you think the problem of KEEPING OUT OF WAR would be handled better in the next four years by (the Democrats, the Republicans), or about the same by both? ----------------------------------------------------------- Order of names of parties in question text was randomized in H8. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Democrats 2. Republicans 3. About the same by both 8. DK 9. NA; RF 0. Inap, 0 in H4 ============================== VAR M960409 COLUMNS 4614 - 4614 NUMERIC H9 During the past year, would you say that the United States' position in the world has grown WEAKER, STAYED ABOUT THE SAME, or has it grown STRONGER? ----------------------------------------------------------- 1. Weaker 2. Stayed about the same 3. Stronger 8. DK 9. NA; RF ============================== VAR M960410 COLUMNS 4615 - 4615 NUMERIC H10 Do you AGREE or DISAGREE with this statement: 'This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world?' ----------------------------------------------------------- 1. Agree 5. Disagree 8. DK 9. NA; RF ============================== VAR M960411 COLUMNS 4616 - 4616 NUMERIC H11 In the future, how willing should the United States be to use military force to solve international problems -- EXTREMELY WILLING, VERY WILLING, SOMEWHAT WILLING, NOT VERY WILLING, or NEVER WILLING? ----------------------------------------------------------- 1. Extremely willing 2. Very willing 3. Somewhat willing 4. Not very willing 5. Never willing 8. DK 9. NA; RF ============================== VAR M960412 COLUMNS 4617 - 4617 NUMERIC H12 A law has been proposed that would limit the members of Congress to no more than 12 consecutive years of service in that office. Do you favor or oppose such a law? ----------------------------------------------------------- 1. Favor 2. Oppose 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960413 COLUMNS 4618 - 4618 NUMERIC H13a IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates ([NAME #31, 33, 35] or [NAME #32, 34, 36]) is currently in the House of Representatives? (IF NEEDED: which one is that?) ----------------------------------------------------------- Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Yes, Democratic candidate is 2. Yes, Republican candidate is 3. Both candidates are [VOL] 5. No, neither of them is 8. DK 9. NA; RF 0. Inap, only one major party House candidate (type race 14 or 24) or Washington DC ============================== VAR M960414 COLUMNS 4619 - 4620 NUMERIC H13a(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2-CANDIDATE RACE) ----------------------------------------------------------- Built from H13a. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 90. Both 00. Inap, 0,5,8,9 in H13a ============================== VAR M960415 COLUMNS 4621 - 4621 NUMERIC H13b IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if (NAME #31, 33, 32, 34) is currently in the House of Representatives? ----------------------------------------------------------- 1. Yes, candidate is 5. No, candidate is not 8. DK 9. NA 0. Inap, two major party House candidates in race (type race 12, 21, 55 or 65) or Washington DC ============================== VAR M960416 COLUMNS 4622 - 4623 NUMERIC H13b(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (UNOPPOSED RACE) ----------------------------------------------------------- Built from H13b. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 00. Inap, 0,5,8,9 in H13b ============================== VAR M960417 COLUMNS 4624 - 4624 NUMERIC K1 Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? ----------------------------------------------------------- 1. Democrat 2. Republican 3. Independent 4. Other party 5. No preference 8. DK 9. NA; RF ============================== VAR M960418 COLUMNS 4625 - 4625 NUMERIC K1a/b IF R CONSIDERS SELF REPUBLICAN / IF R CONSIDERS SELF DEMOCRAT: a. Would you call yourself a strong Republican or a not very strong Republican? b. Would you call yourself a strong Democrat or a not very strong Democrat? ----------------------------------------------------------- 1. Strong 5. Not very strong 8. DK 9. NA; RF 0. Inap, 3,4,5,8,9 in K1 ============================== VAR M960419 COLUMNS 4626 - 4626 NUMERIC K1c IF R CONSIDERS SELF INDEPENDENT, NO PREFERENCE, OTHER: Do you think of yourself as closer to the Republican Party or to the Democratic Party? ----------------------------------------------------------- 1. Closer to Republican 3. Neither 5. Closer to Democratic 8. DK 9. NA; RF 0. Inap, 1,2,8,9 in K1 ============================== VAR M960420 COLUMNS 4627 - 4627 NUMERIC K1x SUMMARY - R PARTY ID ----------------------------------------------------------- See K1, K1a/b, K1c for full question texts. Built from K1, K1a/b, K1c Code 8 (apolitical) was used only if the respondent had a code of 5 (no preference) in K1 and a code of 3,8 or 9 in K1c and also showed little or no interest in politics in response to the following questions: A1 (pre), B1 (pre), N2 (pre), E9 (post). 0. Strong Democrat (1,1,0 in K1, K1a/b, K1c) 1. Weak Democrat (1,5/8/9,0 in K1, K1a/b, K1c) 2. Independent-Democrat (3/4/5,0,5 in K1, K1a/b, K1c 3. Independent-Independent (3,0,3/8/9 in K1, K1a/b, K1c; 5,0,3/8/9 if not apolitical) 4. Independent-Republican (3/4/5,0,1 in K1, K1a/b, K1c) 5. Weak Republican (2,5/8/9,0 in K1, K1a/b, K1c) 6. Strong Republican (2,1,0 in K1, K1a/b, K1c) 7. Other; minor party; refuses to say (4,0,3/8/9 in K1, K1a/b, K1c) 8. Apolitical (5,0,3/8/9 in K1, K1a/b, K1c and no interest in politics 9. NA (8/9,0,0 in K1, K1a/b, K1c) ============================== K2 Please look at page 5 of the booklet. I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate I name. ----------------------------------------------------------- ============================== VAR M960421 COLUMNS 4628 - 4628 NUMERIC K2a (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INTELLIGENT? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960422 COLUMNS 4629 - 4629 NUMERIC K2b (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) COMPASSIONATE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960423 COLUMNS 4630 - 4630 NUMERIC K2c (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960424 COLUMNS 4631 - 4631 NUMERIC K2c(1) IF R GIVES OPINION ABOUT CLINTON AS 'MORAL': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in K2c ============================== VAR M960425 COLUMNS 4632 - 4632 NUMERIC K2d (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960426 COLUMNS 4633 - 4633 NUMERIC K2e (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960427 COLUMNS 4634 - 4634 NUMERIC K2f (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE YOU? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960428 COLUMNS 4635 - 4635 NUMERIC K2g (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960429 COLUMNS 4636 - 4636 NUMERIC K2h (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960430 COLUMNS 4637 - 4637 NUMERIC K2j (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960431 COLUMNS 4638 - 4638 NUMERIC K2j(1) IF R GIVES OPINION WHETHER CLINTON 'GETS THINGS DONE': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in K2j ============================== VAR M960432 COLUMNS 4639 - 4639 NUMERIC K3a (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960433 COLUMNS 4640 - 4640 NUMERIC K3a(1) IF R GIVES OPINION ABOUT DOLE AS 'MORAL': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in K3a ============================== VAR M960434 COLUMNS 4641 - 4641 NUMERIC K3b (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960435 COLUMNS 4642 - 4642 NUMERIC K3c (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA ============================== VAR M960436 COLUMNS 4643 - 4643 NUMERIC K3d (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE R? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960437 COLUMNS 4644 - 4644 NUMERIC K3e (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960438 COLUMNS 4645 - 4645 NUMERIC K3f (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960439 COLUMNS 4646 - 4646 NUMERIC K3g (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960440 COLUMNS 4647 - 4647 NUMERIC K3g(1) IF R GIVES OPINION WHETHER DOLE 'GETS THINGS DONE': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in K3g ============================== VAR M960441 COLUMNS 4648 - 4648 NUMERIC K4a (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions K4a-K4a(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF 0. Inap, question removed from the field ============================== VAR M960442 COLUMNS 4649 - 4649 NUMERIC K4a(1) IF R GIVES OPINION ABOUT PEROT AS 'MORAL': (How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Questions K4a-K4a(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in K4a; question removed from the field ============================== VAR M960443 COLUMNS 4650 - 4650 NUMERIC K4b (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question K4b was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF 0. Inap, question removed from the field ============================== VAR M960444 COLUMNS 4651 - 4651 NUMERIC K4c (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960445 COLUMNS 4652 - 4652 NUMERIC K4d (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE R? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960446 COLUMNS 4653 - 4653 NUMERIC K4e (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960447 COLUMNS 4654 - 4654 NUMERIC K4f (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960448 COLUMNS 4655 - 4655 NUMERIC K4g (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF ============================== VAR M960449 COLUMNS 4656 - 4656 NUMERIC K4g(1) IF R GIVES OPINION WHETHER PEROT 'GETS THINGS DONE': (How certain are you about this?) VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in K4g ============================== L1 Please look at page 6 of the booklet. Some people think the government should provide fewer services even in areas such as health and eduation in order to reduce spending. Suppose these people are at one end of a scale, at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ----------------------------------------------------------- ============================== VAR M960450 COLUMNS 4657 - 4657 NUMERIC L1a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON SERVICES/SPENDING SCALE. ----------------------------------------------------------- See L1 for full text. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960451 COLUMNS 4658 - 4658 NUMERIC L1a(1) IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: How certain are YOU of your position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 0,8,9 in L1a ============================== VAR M960452 COLUMNS 4659 - 4659 NUMERIC L1a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 9 in L1a ============================== VAR M960453 COLUMNS 4660 - 4660 NUMERIC L1b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF ============================== VAR M960454 COLUMNS 4661 - 4661 NUMERIC L1b(1) IF R PLACES CLINTON ON 7-PT SERVICES/SPENDING SCALE: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L1b ============================== VAR M960455 COLUMNS 4662 - 4662 NUMERIC L1c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF ============================== VAR M960456 COLUMNS 4663 - 4663 NUMERIC L1c(1) IF R PLACES DOLE ON 7-PT SERVICES/SPENDING SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L1c ============================== VAR M960457 COLUMNS 4664 - 4664 NUMERIC L1d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF ============================== VAR M960458 COLUMNS 4665 - 4665 NUMERIC L1d(1) IF R PLACES PEROT ON 7-PT SERVICES/SPENDING SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L1d ============================== VAR M960459 COLUMNS 4666 - 4666 NUMERIC L1e IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of House candidates L1e-L1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF 0. Inap, 0,8,9 in L1a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC ============================== VAR M960460 COLUMNS 4667 - 4667 NUMERIC L1f IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of House candidates L1e-L1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF 0. Inap, 0,8,9 in L1a; R didn't recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC ============================== VAR M960461 COLUMNS 4668 - 4668 NUMERIC L1g IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY on this scale? DEMOCRATIC PARTY PLACEMENT ON SERVICES/SPENDING SCALE. ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of major parties L1g-L1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF 0. Inap, 0,8,9 in L1a ============================== VAR M960462 COLUMNS 4669 - 4669 NUMERIC L1h IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY on this scale? REPUBLICAN PARTY PLACEMENT ON SERVICES/SPENDING SCALE. ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of major parties L1g-L1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should provide many fewer services; reduce spending a lot 2. 3. 4. 5. 6. 7. Government should provide many more services; increase spending a lot 8. DK 9. NA; RF 0. Inap, 0,8,9 in L1a ============================== L2 Please look at page 7 of the booklet. Some people believe that we should spend much less money for defense. Suppose these people are at one end of a scale, at point 1. Others feel that defense spending should be greatly increased. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2,3,4,5, or 6. ----------------------------------------------------------- ============================== VAR M960463 COLUMNS 4670 - 4670 NUMERIC L2a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- See L2 for full text. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960464 COLUMNS 4671 - 4671 NUMERIC L2a(1) IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 0,8,9 in L2a ============================== VAR M960465 COLUMNS 4672 - 4672 NUMERIC L2a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely imporant 2. Very important 3. Somewhat important 4. Not too important 5. Not important 8. DK 9. NA; RF 0. Inap, 9 in L2a ============================== VAR M960466 COLUMNS 4673 - 4673 NUMERIC L2b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA; RF ============================== VAR M960467 COLUMNS 4674 - 4674 NUMERIC L2b(1) IF R PLACES CLINTON ON 7-PT DEFENSE SPENDING SCALE: How certain are you of BILL CLINTON's position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L2b ============================== VAR M960468 COLUMNS 4675 - 4675 NUMERIC L2b(2) IF R PLACES CLINTON ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important 8. DK 9. NA; RF 0. Inap, 8,9 in L2b ============================== VAR M960469 COLUMNS 4676 - 4676 NUMERIC L2c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA; RF ============================== VAR M960470 COLUMNS 4677 - 4677 NUMERIC L2c(1) IF R PLACES DOLE ON 7-PT DEFENSE SPENDING SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L2c ============================== VAR M960471 COLUMNS 4678 - 4678 NUMERIC L2c(2) IF R PLACES DOLE ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important 8. DK 9. NA; RF 0. Inap, 8,9 in L2c ============================== VAR M960472 COLUMNS 4679 - 4679 NUMERIC L2d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA; RF 0. Inap, interview conducted after question removed ============================== VAR M960473 COLUMNS 4680 - 4680 NUMERIC L2d(1) IF R PLACES PEROT ON 7-PT DEFENSE SPENDING SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA 0. Inap, 8,9 in L2d; interview conducted after question removed ============================== VAR M960474 COLUMNS 4681 - 4681 NUMERIC L2d(2) IF R PLACES PEROT ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important 8. DK 9. NA 0. Inap, 8,9 in L2d; interview conducted after question removed ============================== VAR M960475 COLUMNS 4682 - 4682 NUMERIC L2e IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] [See L2 for full text. Order of House candidates L2e-L2f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA 0. Inap, 0,8,9 in L2a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC ============================== VAR M960476 COLUMNS 4683 - 4683 NUMERIC L2f IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of House candidates L2e-L2f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA 0. Inap, 0,8,9 in L2a; R didn't recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC ============================== VAR M960477 COLUMNS 4684 - 4684 NUMERIC L2g IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of major parties L2g-L2h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA 0. Inap, 0,8,9 in L2a ============================== VAR M960478 COLUMNS 4685 - 4685 NUMERIC L2h IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of major parties L2g-L2h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Greatly decrease defense spending 2. 3. 4. 5. 6. 7. Greatly increase defense spending 8. DK 9. NA 0. Inap, 0,8,9 in L2a ============================== L3 Please look at page 8 of the booklet. There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. (Suppose these people are at one end of a scale, at point 1). Others feel that all medical expenses should be paid by individuals and through private insurance plans like Blue Cross or some other company paid plans. (Suppose these people are at the other end, at point 7). And, of course, some other people have opinions somewhere in between at points 2,3,4,5, or 6. ----------------------------------------------------------- ============================== VAR M960479 COLUMNS 4686 - 4686 NUMERIC L3a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE: ----------------------------------------------------------- See L3 for full text. 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan 8. DK 9. NA; RF 0. Haven't though much about it ============================== VAR M960480 COLUMNS 4687 - 4687 NUMERIC L3b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan 8. DK 9. NA; RF ============================== VAR M960481 COLUMNS 4688 - 4688 NUMERIC L3c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan 8. DK 9. NA; RF ============================== VAR M960482 COLUMNS 4689 - 4689 NUMERIC L3d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions L3d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Government insurance plan 2. 3. 4. 5. 6. 7. Private insurance plan 8. DK 9. NA; RF 0. Inap, question removed from the field ============================== L4 Please look at page 9 of the booklet. Some people feel the government in Washington should see to it that every person has a job and a good standard of living (Suppose these people are at one end of a scale, at point 1.) Others think the government should just let each person get ahead on their own. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5, or 6. ----------------------------------------------------------- ============================== VAR M960483 COLUMNS 4690 - 4690 NUMERIC L4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- See L4 for full text. 1. Government should see to a job and good standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own 8. DK 9. NA; RF 0. Haven't though much about it ============================== VAR M960484 COLUMNS 4691 - 4691 NUMERIC L4b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should see to a job and good standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own 8. DK 9. NA; RF ============================== VAR M960485 COLUMNS 4692 - 4692 NUMERIC L4c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should see to a job and good standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own 8. DK 9. NA; RF ============================== VAR M960486 COLUMNS 4693 - 4693 NUMERIC L4d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question L4d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Government should see to a job and good standard of living 2. 3. 4. 5. 6. 7. Government should let each person get ahead on own 8. DK 9. NA; RF 0. Inap, question removed from the field ============================== L5 Please look at page 10 of the booklet. Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. (Suppose these people are at one end of a scale, at point 1.) Others feel that the government should not make any special effort to help blacks because they should help themselves. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5, or 6. ----------------------------------------------------------- ============================== VAR M960487 COLUMNS 4694 - 4694 NUMERIC L5a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960488 COLUMNS 4695 - 4695 NUMERIC L5a(1) IF R PLACES SELF ON 7-PT AID TO BLACKS SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 0,8,9 in L5a ============================== VAR M960489 COLUMNS 4696 - 4696 NUMERIC L5a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important 8. DK 9. NA 0. Inap, 9 in L5a ============================== VAR M960490 COLUMNS 4697 - 4697 NUMERIC L5b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves 8. DK 9. NA; RF ============================== VAR M960491 COLUMNS 4698 - 4698 NUMERIC L5b(1) IF R PLACES CLINTON ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L5b ============================== VAR M960492 COLUMNS 4699 - 4699 NUMERIC L5c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves 8. DK 9. NA; RF ============================== VAR M960493 COLUMNS 4700 - 4700 NUMERIC L5c(1) IF R PLACES DOLE ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L5c ============================== VAR M960494 COLUMNS 4701 - 4701 NUMERIC L5d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Government should help blacks 2. 3. 4. 5. 6. 7. Blacks should help themselves 8. DK 9. NA; RF ============================== VAR M960495 COLUMNS 4702 - 4702 NUMERIC L5d(1) IF R PLACES PEROT ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in L5d ============================== L6 (Not looking at the booklet.) If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending INCREASED and for which would you like to see spending DECREASED? ----------------------------------------------------------- ============================== VAR M960496 COLUMNS 4703 - 4703 NUMERIC L6a (Should Federal Spending on) FOOD STAMPS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960497 COLUMNS 4704 - 4704 NUMERIC L6b (Should Federal Spending on) WELFARE PROGRAMS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960498 COLUMNS 4705 - 4705 NUMERIC L6c (Should Federal Spending on) AIDS RESEARCH (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960499 COLUMNS 4706 - 4706 NUMERIC L6d (Should Federal Spending on) FOREIGN AID (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960500 COLUMNS 4707 - 4707 NUMERIC L6e (Should Federal Spending on) FINANCIAL AID TO COLLEGE STUDENTS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960501 COLUMNS 4708 - 4708 NUMERIC L6f (Should Federal Spending on) SOLVING THE PROBLEM OF THE HOMELESS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960502 COLUMNS 4709 - 4709 NUMERIC L6g (Should Federal Spending on) TIGHTENING BORDER SECURITY AND PREVENTING ILLEGAL IMMIGRATION (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)?? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960503 COLUMNS 4710 - 4710 NUMERIC M1a Please look at page 11 of the Booklet. There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. 1. By law, abortion should never be permitted. 2. The law should permit abortion ONLY in case of rape, incest or when the woman's life is in danger. 3. The law should permit abortion for reasons OTHER THAN rape, incest or danger to the woman's life, but only after the need for the abortion has been clearly established. 4. By law, a woman should always been able to obtain an abortion as a matter of personal choice 7. Other [VOL] ----------------------------------------------------------- 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960504 COLUMNS 4711 - 4711 NUMERIC M1a(1) IF R HAS PLACED SELF ON ABORTION ISSUE: How certain are you of your position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in M1a ============================== VAR M960505 COLUMNS 4712 - 4712 NUMERIC M1a(2) ALL RESPONDENTS (ABORTION ISSUE): How important is this issue to you? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 9 in M1a ============================== VAR M960506 COLUMNS 4713 - 4713 NUMERIC M1b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960507 COLUMNS 4714 - 4714 NUMERIC M1b(1) IF R HAS PLACED CLINTON ON ABORTION ISSUE: How certain are you of BILL CLINTON'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in M1b ============================== VAR M960508 COLUMNS 4715 - 4715 NUMERIC M1b(2) IF R HAS PLACED CLINTON ON ABORTION ISSUE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA; RF 0. Inap, 8,9 in M1b ============================== VAR M960509 COLUMNS 4716 - 4716 NUMERIC M1c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960510 COLUMNS 4717 - 4717 NUMERIC M1c(1) IF R HAS PLACED DOLE ON ABORTION ISSUE: How certain are you of BOB DOLE'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA 0. Inap, 8,9 in M1c ============================== VAR M960511 COLUMNS 4718 - 4718 NUMERIC M1c(2) IF R HAS PLACED DOLE ON ABORTION ISSUE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 8,9 in M1c ============================== VAR M960512 COLUMNS 4719 - 4719 NUMERIC M1d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, question removed from the field ============================== VAR M960513 COLUMNS 4720 - 4720 NUMERIC M1d(1) IF R HAS PLACED PEROT ON ABORTION ISSUE: How certain are you of ROSS PEROT'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Order of Presidential candidates M1b-M1d was randomized. See M1a for full text. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA 0. Inap, 8,9 in M1d; question removed from the field ============================== VAR M960514 COLUMNS 4721 - 4721 NUMERIC M1d(2) IF R HAS PLACED PEROT ON ABORTION ISSUE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- Order of Presidential candidates M1b-M1d was randomized. See M1a for full text. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 8,9 in M1d; question removed from the field ============================== VAR M960515 COLUMNS 4722 - 4722 NUMERIC M1e IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of House candidates M1e-M1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 0,8,9 in M1a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC ============================== VAR M960516 COLUMNS 4723 - 4723 NUMERIC M1f IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of House candidates M1e-M1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 0,8,9 in M1a; R didn't recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC ============================== VAR M960517 COLUMNS 4724 - 4724 NUMERIC M1g IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of major parties M1g-M1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 8,9 in M1a ============================== VAR M960518 COLUMNS 4725 - 4725 NUMERIC M1h IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of major parties M1g-M1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Never permitted 2. Rape, incest, danger only 3. Clear need 4. Always as personal choice 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 8,9 in M1a ============================== M2 (Looking at page 12 of the booklet.) Some people say that the best way to reduce crime is to address the social problems that cause crime, like bad schools, poverty and joblessness. (Suppose these people are at one end of a scale, at point 1.) Other people say the best way to reduce crime is to make sure that criminals are caught, convicted and punished. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. ----------------------------------------------------------- ============================== VAR M960519 COLUMNS 4726 - 4726 NUMERIC M2a [RB] Where would you place YOURSELF on this scale or haven't you thought much about this? R SELF-PLACEMENT ON REDUCTION OF CRIME SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. 1. Social problems that cause crime, like bad schools, poverty and joblessness 2. 3. 4. 5. 6. 7. Make sure criminals are caught, convicted and punished 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960520 COLUMNS 4727 - 4727 NUMERIC M2b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON CRIME REDUCTION SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Social problems that cause crime, like bad schools, poverty and joblessness 2. 3. 4. 5. 6. 7. Make sure criminals are caught, convicted and punished 8. DK 9. NA; RF ============================== VAR M960521 COLUMNS 4728 - 4728 NUMERIC M2c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON CRIME REDUCTION SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Social problems that cause crime, like bad schools, poverty and joblessness 2. 3. 4. 5. 6. 7. Make sure criminals are caught, convicted and punished 8. DK 9. NA; RF ============================== VAR M960522 COLUMNS 4729 - 4729 NUMERIC M2d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON CRIME REDUCTION SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question M2d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 1. Social problems that cause crime, like bad schools, poverty and joblessness 2. 3. 4. 5. 6. 7. Make sure criminals are caught, convicted and punished 8. DK 9. NA; RF 0. Inap, question removed from the field ============================== M3 Please look at page 13 of the booklet. Some people think it is important to protect the environment even if it costs some jobs or otherwise reduces our standard of living. (Suppose these people are at one end of the scale, at point number 1.) Other people think that protecting the environment is not as important as maintaining jobs and our standard of living. (Suppose these people are at the other end of the scale, at point numbeer 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ----------------------------------------------------------- ============================== VAR M960523 COLUMNS 4730 - 4730 NUMERIC M3a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. 1. Protect environment, even if it costs jobs, standard of living 2. 3. 4. 5. 6. 7. Jobs, standard of living more important than environment 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960524 COLUMNS 4731 - 4731 NUMERIC M3a(1) IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 0,8,9 in M3a ============================== VAR M960525 COLUMNS 4732 - 4732 NUMERIC M3a(2) ALL RESPONDENTS (JOBS/ENVIRONMENT SCALE): How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 9 in M3a ============================== VAR M960526 COLUMNS 4733 - 4733 NUMERIC M3b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Protect environment, even if it costs jobs, standard of living 2. 3. 4. 5. 6. 7. Jobs, standard of living more important than environment 8. DK 9. NA; RF ============================== VAR M960527 COLUMNS 4734 - 4734 NUMERIC M3b(1) IF R HAS PLACED CLINTON ON JOBS/ENVIRONMENT SCALE: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in M3b ============================== VAR M960528 COLUMNS 4735 - 4735 NUMERIC M3b(2) IF R HAS PLACED CLINTON ON JOBS/ENVIRONMENT SCALE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 8,9 in M3b ============================== VAR M960529 COLUMNS 4736 - 4736 NUMERIC M3c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Protect environment, even if it costs jobs, standard of living 2. 3. 4. 5. 6. 7. Jobs, standard of living more important than environment 8. DK 9. NA; RF ============================== VAR M960530 COLUMNS 4737 - 4737 NUMERIC M3c(1) IF R HAS PLACED DOLE ON JOBS/ENVIRONMENT SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA; RF 0. Inap, 8,9 in M3c ============================== VAR M960531 COLUMNS 4738 - 4738 NUMERIC M3c(2) IF R HAS PLACED DOLE ON JOBS/ENVIRONMENT SCALE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important important at all 8. DK 9. NA 0. Inap, 8,9 in M3c ============================== VAR M960532 COLUMNS 4739 - 4739 NUMERIC M3d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Protect environment, even if it costs jobs, standard of living 2. 3. 4. 5. 6. 7. Jobs, standard of living more important than environment 8. DK 9. NA; RF 0. Inap, interview after Sept 26, 1996 ============================== VAR M960533 COLUMNS 4740 - 4740 NUMERIC M3d(1) IF R HAS PLACED PEROT ON JOBS/ENVIRONMENT SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Very certain 2. Pretty certain 3. Not very certain 8. DK 9. NA 0. Inap, 8,9 in M3d; interview after Sept 26, 1996 ============================== VAR M960534 COLUMNS 4741 - 4741 NUMERIC M3d(2) IF R HAS PLACED PEROT ON JOBS/ENVIRONMENT SCALE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Extremely important 2. Very important 3. Somewhat important 4. Not too important 5. Not important at all 8. DK 9. NA 0. Inap, 8,9 in M3d; interview after Sept 26, 1996 ============================== VAR M960535 COLUMNS 4742 - 4742 NUMERIC M3e IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of major parties M3e-M3f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Protect environment, even if it costs jobs, standard of living 2. 3. 4. 5. 6. 7. Jobs, standard of living more important than environment 8. DK 9. NA; RF 0. Inap, 0,8,9 in M3a ============================== VAR M960536 COLUMNS 4743 - 4743 NUMERIC M3f IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of major parties M3e-M3f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Protect environment, even if it costs jobs, standard of living 2. 3. 4. 5. 6. 7. Jobs, standard of living more important than environment 8. DK 9. NA; RF 0. Inap, 0,8,9 in M3a ============================== M4 Please look at page 14 of the booklet. Some people think we need much tougher government regulations on business in order to protect the environmnt. (Suppose these people are at one end of a scale, at point 1.) Others think that current regulation to protect the environment are already too much of a burden on business. (Suppose these people are at the other end of the scale, a point number 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. ----------------------------------------------------------- ============================== VAR M960537 COLUMNS 4744 - 4744 NUMERIC M4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. 1. Tougher regulations on business needed to protect the environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much of a burden on business 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960538 COLUMNS 4745 - 4745 NUMERIC M4b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Tougher regulations on business needed to protect the environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much of a burden on business 8. DK 9. NA; RF ============================== VAR M960539 COLUMNS 4746 - 4746 NUMERIC M4c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Tougher regulations on business needed to protect the environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much of a burden on business 8. DK 9. NA; RF ============================== VAR M960540 COLUMNS 4747 - 4747 NUMERIC M4d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question M4d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Tougher regulations on business needed to protect the environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much of a burden on business 8. DK 9. NA; RF 0. Inap, interview after Sept 26, 1996 ============================== VAR M960541 COLUMNS 4748 - 4748 NUMERIC M4e IF R HAS PLACED SELF ON 7-PT ENVIRONMENTAL REGULATION SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Tougher regulations on business needed to protect the environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much of a burden on business 8. DK 9. NA; RF 0. Inap, 0,8,9 in M4a ============================== VAR M960542 COLUMNS 4749 - 4749 NUMERIC M4f IF R HAS PLACED SELF ON 7-PT ENVIRONMENTAL REGULATION SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Tougher regulations on business needed to protect the environment 2. 3. 4. 5. 6. 7. Regulations to protect environment already too much of a burden on business 8. DK 9. NA; RF 0. Inap, 0,8,9 in M4a ============================== N1 Please look at page 15 of the booklet. Recently there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. (Suppose these people are at one end of a scale, at point 1.) Others feel that a woman's place is in the home. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ----------------------------------------------------------- ============================== VAR M960543 COLUMNS 4750 - 4750 NUMERIC N1a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. 1. Women and men should have equal roles 2. 3. 4. 5. 6. 7. A woman's place is in the home 8. DK 9. NA; RF 0. Haven't thought much about it ============================== VAR M960544 COLUMNS 4751 - 4751 NUMERIC N1b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Women and men should have equal roles 2. 3. 4. 5. 6. 7. A woman's place is in the home 8. DK 9. NA; RF ============================== VAR M960545 COLUMNS 4752 - 4752 NUMERIC N1c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Women and men should have equal roles 2. 3. 4. 5. 6. 7. A woman's place is in the home 8. DK 9. NA; RF ============================== VAR M960546 COLUMNS 4753 - 4753 NUMERIC N1d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question N1d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 1. Women and men should have equal roles 2. 3. 4. 5. 6. 7. A woman's place is in the home 8. DK 9. NA; RF 0. Inap, interview after September 26, 1996 ============================== VAR M960547 COLUMNS 4754 - 4754 NUMERIC N2 (Not using the booklet) So far as you know now, do you expect to vote in the national elections this coming November or not? ----------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] 1. Yes 5. No 8. DK 9. NA; RF ============================== VAR M960548 COLUMNS 4755 - 4755 NUMERIC N2a IF R INTENDS TO VOTE: Who do you think you will vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you will vote for in the election for President?) ----------------------------------------------------------- 1. Bill Clinton 2. Bob Dole 3. Ross Perot 5. None (if voter, will not vote for President) [VOL] 7. Other (specify) 8. DK 9. NA; RF 0. Inap, 5,8,9 in N2 ============================== VAR M960549 COLUMNS 4756 - 4756 NUMERIC N2b IF R INTENDS TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R INTENDS TO VOTE FOR PRESIDENT: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- 1. Strong 2. Not strong 8. DK 9. NA; RF 0. Inap, 5,8,9 in N2; 5,8,9 in N2a ============================== VAR M960550 COLUMNS 4757 - 4757 NUMERIC N2c IF R DOES NOT INTEND TO VOTE: If you were going to vote, who do you think you would vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you would vote for in the election for President?) ----------------------------------------------------------- 1. Bill Clinton 2. Bob Dole 3. Ross Perot 5. None 7. Other (specify) 8. DK 9. NA; RF 0. Inap, 1,8,9 in N2 ============================== VAR M960551 COLUMNS 4758 - 4758 NUMERIC N2d IF R DOES NOT INTEND TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R WOULD VOTE FOR PRESIDENT: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- 1. Strong 2. Not Strong 8. DK 9. NA; RF 0. Inap, 1,8,9 in N2; 5,8,9 in N2c ============================== VAR M960552 COLUMNS 4759 - 4759 NUMERIC N3a Sometimes people do not vote for candidates who have no chance of winning. Regardless of who you think will win, who would you most like to see elected in November -- [Bob Dole], [Bill Clinton], or [Ross Perot]? ----------------------------------------------------------- Order of presidential candidate names read in question text was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 5. None of the above [VOL] 6. R says "I don't care" [VOL] 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960553 COLUMNS 4760 - 4760 NUMERIC N3b IF R HAS IDENTIFIED A CANDIDATE WHOM R WOULD MOST LIKE TO SEE ELECTED PRESIDENT: If you could cast more than one vote in the presidential election this November, which other candidate would you find acceptable and vote for? ----------------------------------------------------------- Candidate name in N3b was accepted only if different from N3a. 1. Bill Clinton 2. Bob Dole 3. Ross Perot 5. None of the above [VOL] 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 5,6,8,9 in N3a ============================== VAR M960554 COLUMNS 4761 - 4761 NUMERIC N4a IF R INTENDS TO VOTE: Who do you think you will vote for in the election for the U.S. House of Representatives in this district (alternatively -- in the district in which you will vote)? ----------------------------------------------------------- This question was intended for administration regardless of type of House race, however, with a single exception, an error in the application erroneously skipped this question for Rs in districts with unopposed House races. 1. Democratic candidate name given 2. Repubican candidate name given 3. No one [VOL] 4. 'The Democrat' [VOL] 5. 'The Republican' [VOL] 7. Other (specify) [VOL] 8. DK 9. NA; RF 0. Inap, 5,8,9 in N2; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR M960555 COLUMNS 4762 - 4763 NUMERIC N4ax IF R INTENDS TO VOTE: (Who do you think you will vote for in the election for the U.S. House of Representatives in this district?) CANDIDATE CODE ----------------------------------------------------------- See note N4a. Built from N4a and type of race. Responses of 'the Democrat' and 'the Republican' were coded to the appropriate candidate code of the Democratic or Republican candidate in R's district. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name not on candidate list 98. DK 99. NA; RF 00. Inap, 5,8,9 in N2; 3 in N4a; type race 14 or 14 (exc. 1 case); Washington DC ============================== VAR M960556 COLUMNS 4764 - 4764 NUMERIC N4b IF R INTENDS TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R INTENDS TO VOTE FOR CONGRESS: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- See note N4a. 1. Strong 2. Not strong 8. DK 9. NA; RF 0. Inap, 5,8,9 in N2; 3,8,9 in N4a; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR M960557 COLUMNS 4765 - 4765 NUMERIC N4c IF R DOES NOT INTEND TO VOTE : Who do you think you would vote for in the election for the U.S. House of Representatives in this district? ----------------------------------------------------------- This question was intended for administration regardless of type of House race, however, with a single exception, an error in the application erroneously skipped this question for Rs in districts with unopposed House races. 1. Democratic candidate name given 2. Republican candidate name given 3. No one [VOL] 4. 'The Democrat [VOL]' 5. 'The Republican [VOL]' 7. Other (specify) 8. DK 9. NA; RF 0. Inap, 1,8,9 in N2; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR M960558 COLUMNS 4766 - 4767 NUMERIC N4cx IF R DOES NOT INTEND TO VOTE : (Who do you think you would vote for in the election for the U.S. House of Representatives in this district?) CANDIDATE CODE ----------------------------------------------------------- See note N4c. Built from N4c and type of race. Responses of 'the Democrat' and 'the Republican' were coded to the appropriate candidate code of the Democratic or Republican candidate in R's district. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name not on candidate list 98. DK 99. NA; RF 00. Inap, 5,8,9 in N2; 3 in N4c; type race 14 or 14 (exc. 1 case); Washington DC ============================== VAR M960559 COLUMNS 4768 - 4768 NUMERIC N4d IF R DOES NOT INTEND TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R WOULD VOTE FOR CONGRESS: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- See note N4c. 1. Strong 2. Not strong 8. DK 9. NA; RF 0. Inap,1,8,9 in N2; 3,8,9 in N4c; type race 14 or 24 (exc. 1 case); Washington DC ============================== N5 Here are some questions about Federal spending. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending INCREASED and for which would you like to see spending DECREASED. ----------------------------------------------------------- ============================== VAR M960560 COLUMNS 4769 - 4769 NUMERIC N5a (Should Federal spending on) SOCIAL SECURITY (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960561 COLUMNS 4770 - 4770 NUMERIC N5b (Should Federal spending on) IMPROVING AND PROTECTING THE ENVIRONMENT (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960562 COLUMNS 4771 - 4771 NUMERIC N5c (Should Federal spending on) PUBLIC SCHOOLS (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960563 COLUMNS 4772 - 4772 NUMERIC N5d (Should Federal spending on) DEALING WITH CRIME (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960564 COLUMNS 4773 - 4773 NUMERIC N5e (Should Federal spending on) CHILD CARE (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960565 COLUMNS 4774 - 4774 NUMERIC N5f (Should Federal spending on) POOR PEOPLE (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1. Increased 2. Decreased 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 9. NA; RF ============================== VAR M960566 COLUMNS 4775 - 4775 NUMERIC Q1 People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the GOVERNMENT IN GENERAL. We want to see how you feel about these ideas. For example: How much of the time do you think you can trust the government in Washington to do what is right-- JUST ABOUT ALWAYS, MOST OF THE TIME, or ONLY SOME OF THE TIME? ----------------------------------------------------------- 1. Just about always 2. Most of the time 3. Only some of the time 7. None of the time [VOL] 8. DK 9. NA; RF ============================== VAR M960567 COLUMNS 4776 - 4776 NUMERIC Q2 Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? ----------------------------------------------------------- 1. Can be trusted 2. Can't be too careful dealing with people 8. DK 9. NA; RF ============================== VAR M960568 COLUMNS 4777 - 4777 NUMERIC Q2.1 Please look at page 16 of the booklet. Please tell me how much you agree or disagree with this statement: "People like me don't have any say about what the government does." ----------------------------------------------------------- 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA; RF ============================== VAR M960569 COLUMNS 4778 - 4778 NUMERIC Q3 (Not using the booklet) Do you think most people would try to take advantage of you if they got the chance or would they try to be fair? ----------------------------------------------------------- 1. Take advantage 2. Try to be fair 8. DK 9. NA; RF ============================== VAR M960570 COLUMNS 4779 - 4779 NUMERIC Q4 In terms of general attitudes and beliefs, how similar would you say other people are to you-- VERY SIMILAR, SOMEWHAT SIMILAR, NOT VERY SIMILAR, or NOT AT ALL SIMILAR? ----------------------------------------------------------- 1. Very similar 2. Somewhat similar 3. Not very similar 4. Not at all similar 8. DK 9. NA; RF ============================== VAR M960571 COLUMNS 4780 - 4780 NUMERIC Q5 Do you consider religion to be an IMPORTANT part of your life, or NOT? ----------------------------------------------------------- 1. Important 2. Not important 8. DK 9. NA; RF ============================== VAR M960572 COLUMNS 4781 - 4781 NUMERIC Q6 IF R SAYS RELIGION IS IMPORTANT: Would you say your religion provides SOME guidance in your day-to-day living, QUITE A BIT of guidance, or A GREAT DEAL of guidance in your day-to-day life? ----------------------------------------------------------- 1. Some 2. Quite a bit 3. A great deal 8. DK 9. NA; RF 0. Inap, 2,8,9 in Q5 ============================== VAR M960573 COLUMNS 4782 - 4782 NUMERIC Q7a Please look at page 17 of the booklet. People practice their religion in different ways. Outside of attending religious services, do you pray SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? ----------------------------------------------------------- 1. Several times a day 2. Once a day 3. A few times a week 4. Once a week or less 5. Never 8. DK 9. NA; RF ============================== VAR M960574 COLUMNS 4783 - 4783 NUMERIC Q7b (Looking at page 17 of the booklet) Outside of attending religious services, do you read the Bible SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? ----------------------------------------------------------- 1. Several times a day 2. Once a day 3. A few times a week 4. Once a week or less 5. Never 8. DK 9. NA; RF ============================== VAR M960575 COLUMNS 4784 - 4784 NUMERIC Q8 Please look at page 18 of the booklet. Which of these statements comes closest to describing your feelings about the Bible? You can just give me the number of your choice. 1. The Bible is the actual word of God and is to be taken literally, word for word. 2. The Bible is the word of God but not everything in it should be taken literally, word for word. 3. The Bible is a book written by men and is not the word of God. 7. Other [VOL] ----------------------------------------------------------- 1. Bible is actual word of God 2. Bible is word of God, but not literally 3. Bible is not the word of God 7. Other (specify) [VOL] 8. DK 9. NA; RF ============================== VAR M960576 COLUMNS 4785 - 4785 NUMERIC X1 (Not using the booklet) Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? ----------------------------------------------------------- 1. Yes 5. No 8. DK; RF 9. NA ============================== VAR M960577 COLUMNS 4786 - 4786 NUMERIC X1a IF R DOES NOT ATTEND RELIGIOUS SERVICES: Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? ----------------------------------------------------------- 1. Yes 5. No 8. DK; RF 9. NA 0. Inap, 1,8,9 in X1 ============================== VAR M960578 COLUMNS 4787 - 4787 NUMERIC X2 IF R ATTENDS RELIGIOUS SERVICES: Do you go to religious services EVERY WEEK, ALMOST EVERY WEEK, ONCE OR TWICE A MONTH, A FEW TIMES A YEAR, OR NEVER? ----------------------------------------------------------- 1. Every week 2. Almost every week 3. Once or twice a month 4. A few times a year 5. Never 8. DK 9. NA; RF 0. Inap, 5,8,9 in X1 ============================== VAR M960579 COLUMNS 4788 - 4788 NUMERIC X2a IF R SAYS ATTENDS RELIGIOUS SERVICES 'EVERY WEEK': Would you say you go to religious services ONCE A WEEK or MORE OFTEN THAN ONCE A WEEK? ----------------------------------------------------------- 1. Once a week 2. More often than once 8. DK;RF 9. NA 0. Inap, 5,8,9 in X1; 2-5,8,9 in X2 ============================== VAR M960580 COLUMNS 4789 - 4789 NUMERIC X3 IF R ATTENDS CHURCH: / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: INTERVIEWER CHECKPOINT: DOES R ATTEND CHURCH? ----------------------------------------------------------- 1. Yes 5. No 0. Inap, 8,9 in X1; 5,8,9 in X1a ============================== VAR M960581 COLUMNS 4790 - 4790 NUMERIC X3a IF R ATTENDS RELIGIOUS SERVICES: Do you mostly attend a place of worship that is PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? ----------------------------------------------------------- 1. Protestant 2. Roman Catholic 3. Jewish 7. Other 8. DK; RF 9. NA 0. Inap, 5,8,9 in X1; 5 in X2 ============================== VAR M960582 COLUMNS 4791 - 4791 NUMERIC X3b IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: Do you consider yourself PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? ----------------------------------------------------------- 1. Protestant 2. Roman Catholic 3. Jewish 7. Other 8. DK;RF 9. NA 0. Inap, 1,8,9 in X1; 5,8,9 in X1a ============================== VAR M960583 COLUMNS 4792 - 4793 NUMERIC X4 IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT CONSIDERS SELF PROTESTANT OR 'OTHER': / IF R ATTENDS SERVICES AS PROTESTANT 'OTHER': What church or denomination is that? ----------------------------------------------------------- 1. Baptist 2. Episcopalian/Anglican/Church of England 3. Lutheran 4. Methodist 5. 'Just Protestant' 6. Presbyterian 7. Reformed 8. Brethren 9. Evangelical United Brethren 10. 'Christian' or 'just Christian' 11. Christian Scientist 12. Church (or Churches) of Christ 13. United Church of Christ 14. Disciples of Christ 15. Church of God 16. Assembly of God 17. Congregationalist 18. Holiness 19. Pentacostal 20. Friends, Quaker 21. Orthodox, e.g. Greek, Russian (specify) 22. Non-denominational-- protestant 23. Mormons 24. Jehovah's Witnesses 25. Latter Day Saints 26. Unitarian/Universalist 27. Buddhist 28. Hindu 29. Muslim/Islam 30. Native American 97. Other (specify) 98. DK 99. NA 00. Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/X3b; ============================== VAR M960584 COLUMNS 4794 - 4794 NUMERIC X4a IF R DENOMINATION IS BAPTIST: With which Baptist group is your church associated? (Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group?) ----------------------------------------------------------- 1. Southern Baptist Convention 2. American Baptist Churches in USA 3. American Baptist Association 4. Independent Baptist 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 2-30,97-99 in X4 ============================== VAR M960585 COLUMNS 4795 - 4795 NUMERIC X4b IF R'S DENOMINATION IS BAPTIST: IF R'S CHURCH IS INDEPENDENT BAPTIST: Are you affiliated with any larger Baptist group or is this strictly a local church? ----------------------------------------------------------- 1. Larger Baptist group (specify) 2. Local 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 2-30,97-99 in X4; 1,2,3,7,8,9 in X4a ============================== VAR M960586 COLUMNS 4796 - 4796 NUMERIC X4c IF R DENOMINATION IS LUTHERAN: Is this church part of the Evangelical Lutheran Church in American, the Missouri Synod, or some other Lutheran group? ----------------------------------------------------------- 1. Evangelical Lutheran Church 2. Missouri Synoc 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1,2,4-30,97-99 in X4 ============================== VAR M960587 COLUMNS 4797 - 4797 NUMERIC X4d IF R DENOMINATION IS METHODIST: Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? ----------------------------------------------------------- 1. United Methodist Church 2. African Methodist Episcopal 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-3, 5-30, 97-99 in X4 ============================== VAR M960588 COLUMNS 4798 - 4798 NUMERIC X4e IF R DENOMINATION IS PRESBYTERIAN: Is this the Presbyterian Church in the USA or some other Presbyterian group? ----------------------------------------------------------- 1. Presbyterian Church USA (formerly United Presbyterian Church) 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-5, 7-30, 97-99 in X4 ============================== VAR M960589 COLUMNS 4799 - 4799 NUMERIC X4f IF R DENOMINATION IS REFORMED CHURCH: Is this the Christian Reformed Church, the Reformed Church in America or some other Reformed group? ----------------------------------------------------------- 1. Christian Reformed Church 2. The Reformed Church in America 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-6, 8-30, 97-99 in X4 ============================== VAR M960590 COLUMNS 4800 - 4800 NUMERIC X4g IF R'S DENOMINATION IS BRETHREN: Is this the Church of the Brethren, the Plymouth Brethren, or what? ----------------------------------------------------------- 1. Church of the Brethren 2. The Plymouth Brethren 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-7, 9-30, 97-99 in X4 ============================== VAR M960591 COLUMNS 4801 - 4801 NUMERIC X4h IF R SAYS DENOMINATION IS 'JUST CHRISTIAN': When you say "Christian" does that mean the denomination called the "Christian Church Disciples of Christ," or some other Christian denomination, or do you mean to say "I am just a Christian"? ----------------------------------------------------------- 1. Disciples of Christ 2. I am just a Christian 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-9,11-30, 97-99 in X4 ============================== VAR M960592 COLUMNS 4802 - 4802 NUMERIC X4i IF R DENOMINATION IS CHURCH OF CHRIST: Is this the Church of Christ or the United Church of Christ? ----------------------------------------------------------- 1. Church of Christ 2. United Church of Christ 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-11, 13-30, 97-99 in X4 ============================== VAR M960593 COLUMNS 4803 - 4803 NUMERIC X4j IF R DENOMINATION IS CHURCH OF GOD: Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? ----------------------------------------------------------- 1. Of Anderson, Indiana 2. Of Cleveland, Tennessee 3. Church of God in Christ 7. Other (specify) 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,,8,9 in X3a/b; 1-14, 16-30, 97- 99 in X4 ============================== VAR M960594 Character COLUMNS 4804 - 4804 CHARACTER X4k IF R'S DENOMINATION IS HOLINESS OR PENTACOSTAL: What kind of church is that? What is it called exactly? Is that part of a larger church or denomination? What is that church called? ----------------------------------------------------------- (Interviewer note: THESE QUESTIONS ARE PROBES. USE THESE AND OTHERS TO GET AS MUCH SPECIFIC INFORMATION AS POSSIBLE) Q.X4k field is blank. The open-ended responses have been hand-coded into the religion summary variable, X10 but the actual response texts have been deleted. 0. Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-17, 20-30, 97-99 in X4 ============================== VAR M960595 Character COLUMNS 4805 - 4805 CHARACTER X4kx IF R'S DENOMINATION SPECIFIES 'OTHER' IN X4a-X4k: OTHER (SPECIFY) GROUPS: ----------------------------------------------------------- Q.X4kx field is blank. Open-ended responses coded as 'other' in X4a-X4k have been hand-coded into the religion summary var X10 but actual response texts have been deleted. ============================== VAR M960596 Character COLUMNS 4806 - 4806 CHARACTER X4m IF R DOES NOT IDENTIFY A DENOMINATION IN X4: What is it called exactly? Is that church part of a denomination? ----------------------------------------------------------- (Interviewer note: USE ANY OR ALL AS NECESSARY; GET AS MUCH DETAIL AS POSSIBLE). Q.X4m field has been blanked. Open-ended responses coded as 'other' in X4 have been hand-coded into the religion summary var X10 but actual response texts have been deleted. 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-30, 98-99 in X4 ============================== VAR M960597 COLUMNS 4807 - 4807 NUMERIC X4m(1) IF R CONSIDERS SELF/ ATTENDS SERVICES AS PROTESTANT OR 'OTHER': / IF R DOES NOT IDENTIFY A DENOMINATION IN X4: IF R HAS NOT ALREADY IDENTIFIED SELF AS CHRISTIAN: (IF NECESSARY:) Is that group Christian? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-30, 98,99 in X4; 97 in X4 and 1 in X3a/X3b ============================== VAR M960598 COLUMNS 4808 - 4808 NUMERIC X6a/b IF R ATTENDS JEWISH RELIGIOUS SERVICES: / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT CONSIDERS SELF JEWISH: a. Do you usually attend a synagogue or temple that is ORTHODOX, CONSERVATIVE, REFORM or what? b. Do you consider yourself ORTHODOX, CONSERVATIVE, REFORM, or what? ----------------------------------------------------------- 1. Orthodox 2. Conservative 3. Reform 7. Other (specify) 8. DK 9. NA 0. Inap, 1,2,7,8,9 in X3a/X3b ============================== VAR M960599 COLUMNS 4809 - 4809 NUMERIC X7 IF R ATTENDS RELIGIOUS SERVICES: IF R THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: Are you officially a member of a parish, congregation, temple or other place of worship? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 8,9 in X1; 5,8,9 in X1a ============================== VAR M960600 COLUMNS 4810 - 4810 NUMERIC X8 IF R IS CHRISTIAN: (Please look at page 19 of the booklet.) Which one of these words BEST describes your kind of Christianity, Fundamentalist, Evangelical, Charismatic or Spirit-Filled, Moderate to Liberal? ----------------------------------------------------------- 1. Fundamentalist 2. Evangelical 3. Charismatic or spirit filled 4. Moderate to liberal 5. Something else (specify) [VOL] 8. DK 9. NA 0. Inap, 8,9 in X1; 8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) ============================== VAR M960601 COLUMNS 4811 - 4811 NUMERIC X9 IF R IS CHRISTIAN: (Not using the booklet.) Would you call yourself a born-again Christian, that is, have you personally had a conversion experience related to Jesus Christ? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 8,9 in X1; 8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) ============================== VAR M960602 COLUMNS 4812 - 4814 NUMERIC X10 RELIGION SUMMARY ----------------------------------------------------------- See the RELIGION master code. This variable summarizes the information gathered in questions X3a/b, X4, X4a-m, X4m(1), X6a/b. Information collected in the open-ended responses to the religion section component questions have been hand coded into this summary variable. Codes followed by * have been newly added in 1996. Codes 010-997 and: 998. DK/refused (8 in X1, 8 in X1a, 8 in X3a/b, 98 in X4) 999. NA (9 in X1, 9 in X1a, 9 in X3a/b, 99 in X4) 000. Inap, no religious identification or preference (and R does not attend), 5 in X1a ============================== VAR M960603 COLUMNS 4815 - 4816 NUMERIC Y1a What is the month, day and year of your birth? (MONTH) ----------------------------------------------------------- Month 1-12 and: 1. January 2. February 3. March 4. April 5. May 6. June 7. July 8. August 9. September 10. October 11. November 12. December 97. DK 98. Refused 99. NA ============================== VAR M960604 COLUMNS 4817 - 4820 NUMERIC Y1c What is the month, day and year of your birth? (YEAR) ----------------------------------------------------------- Actual year was coded, and: 9997. DK 9998. Refused 9999. NA ============================== VAR M960605 COLUMNS 4821 - 4822 NUMERIC Y1x [What is the month, day and year of your birth?] R'S AGE ----------------------------------------------------------- Built from Y1a-Y1b. Month and year of R's birth was subtracted from month and year of interview. If year of birth was NA or refused but age of respondent was given by informant in the household listing, then age from household listing was used. Age 18-96 and: 97. 97 years or more 98. Refused 99. NA; DK 00. Inap, 9999 in Y1c ============================== VAR M960606 COLUMNS 4823 - 4823 NUMERIC Y2 Are you married now and living with your (husband/wife)-- or are you widowed, divorced, separated, or have you never married? ----------------------------------------------------------- 1. Married 2. Widowed 3. Divorced 4. Separated 5. Never married 6. Partners, not married [VOL] 9. NA; RF ============================== VAR M960607 COLUMNS 4824 - 4825 NUMERIC Y3 What is the highest grade of school or year of college you have completed? ----------------------------------------------------------- Grade 0-17 and: 17. 17 or more 98. DK 99. NA; RF ============================== VAR M960608 COLUMNS 4826 - 4826 NUMERIC Y3a IF R HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did you get a high school diploma or pass a high school equivalency test? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 13-17, 98,99 in Y3 ============================== VAR M960609 COLUMNS 4827 - 4828 NUMERIC Y3b IF R HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that you have earned? ----------------------------------------------------------- 1. Bachelor's degree 2. Master's degree 3. PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 4. LLB, JD 5. MD, DDS, DVM, MVSA, DSC, DO 6. JSC, STD, THD 7. Associate degree (AA) 96. No degree earned 98. DK 99. NA 00. Inap, 0-12, 98,99 in Y3 ============================== VAR M960610 COLUMNS 4829 - 4829 NUMERIC Y3x SUMMARY - R'S EDUCATION ----------------------------------------------------------- Built from Y3, Y3a, Y3b. 1. 8 grades or less and no diploma or equivalency [0-8 in Y3, 5 in Y3a] 2. 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) [9-12 in Y3, 5 in Y3a] 3. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 4. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 5. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 6. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 7. Advanced degree, including LLB [13-17 in Y3, 2-6 in Y3b] 8. DK [98 in Y3, 8 in Y3a; 98 in Y3b] 9. NA [99 in Y3; 9 in Y3a; 99 in Y3b] ============================== VAR M960611 COLUMNS 4830 - 4831 NUMERIC Y5 IF R IS MARRIED OR PARTNERED: What is the highest grade of school or year of college (your husband/your wife/your partner) has completed? ----------------------------------------------------------- Grade 0-16 and: 17. 17 years or more 98. DK 99. Inap, 2-5,9 in Y2; NA; RF ============================== VAR M960612 COLUMNS 4832 - 4832 NUMERIC Y5a IF SPOUSE/PARTNER HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did (he/she) get a high school diploma or pass a high school equivalency test? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 2-5,9 in Y2; 13-17, 98,99 in Y5 ============================== VAR M960613 COLUMNS 4833 - 4834 NUMERIC Y5b IF SPOUSE/PARTNER HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that(he/she) has earned? ----------------------------------------------------------- 1. Bachelor's degree 2. Master's degree 3. PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 4. LLB, JD 5. MD, DDS, DVM, MVSA, DSC, DO 6. JSC, STD, THD 7. Associate degree (AA) 96. No degree earned 98. DK 99. NA 00. Inap, 2-5,9 in Y2; 0-12, 98, 99 in Y5 ============================== VAR M960614 COLUMNS 4835 - 4835 NUMERIC Y5x SUMMARY - SPOUSE/PARTNER'S EDUCATION ----------------------------------------------------------- Built from Y5, Y5a, Y5b. 1. 8 grades or less and no diploma or equivalency [0-8 in Y5, 5 in Y5a] 2. 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) [9-12 in Y5, 5 in Y5a] 3. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 4. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 5. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 6. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 7. Advanced degree, including LLB [13-17 in Y5, 2-6 in Y5b] 0. Inap, 2-5,9 in Y2 8. DK [98 in Y5; 8 in Y5a; 98 in Y5b] 9. NA [99 in Y5; 9 in Y5a; 98 in Y5b] ============================== VAR M960615 COLUMNS 4836 - 4837 NUMERIC Y6 Please look at page 20 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) R EMPLOYMENT STATUS SUMMARY ----------------------------------------------------------- Built from Y6 and Y7e, Y12g, Y14g, Y15. Questions about R's employment (past and/or current) in the Y employment section applied to status in Y6 as follows. Y7 series (current emp.) - 10,15,16,17,18,20,51,61,71,81 Y11,Y11a, and Y12 series (past emp.) - 15,50,51 Y13 and Y14 series (past emp.) - 16,60,61 Y15,Y15a, and Y16 series (past em. in recent 6 months) - 17,18,70,71,75,80,81 Y9 and Y10 series (past employment) - 40 10. WORKING NOW only 15. WORKING NOW and retired (R volunteers), currently working 20 or more hours per week 16. WORKING NOW and permanently disabled, currently working 20 or more hours per week 17. WORKING NOW and homemaker (R volunteers), currently working 20 or more hours per week 18. WORKING NOW and student (R volunteers), currently working 20 or more hours per week 20. TEMPORARILY LAID OFF 40. UNEMPLOYED 50. RETIRED, no other occupation 51. RETIRED and working now (R volunteers), currently working fewer than 20 hours per week 60. PERMANENTLY DISABLED, not working 61. PERMANENTLY DISABLED and working now, currently working fewer than 20 hours per week 70. HOMEMAKER, no other occupation 71. HOMEMAKER and working now (R volunteers), currently working fewer than 20 hours per week 75. HOMEMAKER and student (R volunteers), no other occupation 80. STUDENT, no other occupation 81. STUDENT and working now (R volunteers), currently working fewer than 20 hours per week 99. NA ============================== VAR M960616 COLUMNS 4838 - 4838 NUMERIC Y6x Please look at page 20 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SUMMARY - R EMPLOYMENT STATUS ----------------------------------------------------------- Built from Y6. 1. R WORKING NOW (working now or working 20 hours or more per week if also retired, permanently disabled, homemaker or student) [10, 15-18 in Y6] 2. R TEMPORARILY LAID OFF [20 in Y6] 4. R UNEMPLOYED [40 in Y6] 5. R RETIRED, not working or working fewer than 20 hours per week [50,51 in Y6] 6. R PERMANENTLY DISABLED, not working or working fewer than 20 hours per week [50,51 in Y6] 7. R HOMEMAKER, not working or working fewer than 20 hours per week (also nonworking Rs who are both student and homemaker) [50,51 in Y6] 8. R STUDENT, not working or working fewer than 20 hours per week ([50,51 in Y6] 9. NA ============================== VAR M960617 COLUMNS 4839 - 4839 NUMERIC Y9 IF R IS UNEMPLOYED: Have you ever done any work for pay? ----------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR M960618 COLUMNS 4840 - 4841 NUMERIC Y10/Y10a IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR M960619 COLUMNS 4842 - 4843 NUMERIC Y10x(1) IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: CENSUS OCCUPATION, COLLAPSED ----------------------------------------------------------- The stacked version of this question is at RC2, at end of R employment section. Built from Y10, Y10a. 1980 Census major group categories, collapsed from full categories in Y10/Y10a. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR M960620 COLUMNS 4844 - 4844 NUMERIC Y10x(2) IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9; 98,99 in Y10/Y10a ============================== VAR M960621 COLUMNS 4845 - 4847 NUMERIC Y10b IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR M960622 COLUMNS 4848 - 4848 NUMERIC Y10c IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 1. Someone else 2. Both someone else and self 3. Self employed 8. DK 9. NA 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR M960623 COLUMNS 4849 - 4849 NUMERIC Y10d IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9; 3,8,9 in Y10c ============================== VAR M960624 COLUMNS 4850 - 4850 NUMERIC Y10e IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? ----------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR M960625 COLUMNS 4851 - 4852 NUMERIC Y10f IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED FOR PAY IN THE LAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: 97. 97 or more hours 98. DK 99. Na 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y10e ============================== VAR M960626 COLUMNS 4853 - 4853 NUMERIC Y10g IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Are you looking for work at the present time? ----------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR M960627 COLUMNS 4854 - 4854 NUMERIC Y10h IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 1. A lot 2. Somewhat 3. Not much at all 8. DK 9. NA 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR M960628 COLUMNS 4855 - 4856 NUMERIC Y11 IF R IS RETIRED: When did you retire? (MONTH) ----------------------------------------------------------- 1. January 2. February 3. March 4. April 5. May 6. June 7. July 8. August 9. September 10. October 11. November 12. December 98. DK 99. NA; RF 00. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR M960629 COLUMNS 4857 - 4860 NUMERIC Y11a IF R IS RETIRED: When did you retire? (YEAR) ----------------------------------------------------------- 4-digit year of retirement, And: 9998. DK 9999. NA 0000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR M960630 COLUMNS 4861 - 4862 NUMERIC Y12/Y12a IF R IS RETIRED: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR M960631 COLUMNS 4863 - 4864 NUMERIC Y12ax(1) IF R IS RETIRED: CENSUS OCCUPATION COLLAPSED ----------------------------------------------------------- Built from Y12, Y12a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categoris in Y12/Y12a. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR M960632 COLUMNS 4865 - 4865 NUMERIC Y12ax(2) IF R IS RETIRED: OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6; 98,99 in Y12/Y12a ============================== VAR M960633 COLUMNS 4866 - 4868 NUMERIC Y12b IF R IS RETIRED: What kind of (business/industry) was that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR M960634 COLUMNS 4869 - 4869 NUMERIC Y12c IF R IS RETIRED: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 1. Someone else 2. Both someone else and self 3. Self employed only 8. DK 9. NA 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR M960635 COLUMNS 4870 - 4870 NUMERIC Y12d IF R IS RETIRED: IF R DID NOT WORK EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 3,8,9 in Y12c ============================== VAR M960636 COLUMNS 4871 - 4871 NUMERIC Y12e IF R IS RETIRED: Have you had a job in the last SIX months? ----------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR M960637 COLUMNS 4872 - 4873 NUMERIC Y12f IF R IS RETIRED: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours worked, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y12e ============================== VAR M960638 COLUMNS 4874 - 4874 NUMERIC Y12g IF R IS RETIRED: Are you doing any work for pay at the present time? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR M960639 COLUMNS 4875 - 4875 NUMERIC Y12h IF R IS RETIRED: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: Are you looking for work at the present time? ----------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g ============================== VAR M960640 COLUMNS 4876 - 4876 NUMERIC Y12j IF R IS RETIRED: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 1. A lot 2. Somewhat 3. Not much 8. DK 9. NA 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g ============================== VAR M960641 COLUMNS 4877 - 4877 NUMERIC Y13 IF R IS DISABLED: Have you ever done any work for pay? ----------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR M960642 COLUMNS 4878 - 4879 NUMERIC Y14/Y14a IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR M960643 COLUMNS 4880 - 4881 NUMERIC Y14ax(1) IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: R DISABLED - PAST OCCUPATION COLLAPSED ----------------------------------------------------------- Built from Y14, Y14a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categories in Y14/Y14a. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR M960644 COLUMNS 4882 - 4882 NUMERIC Y14ax(2) IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: R DISABLED - PAST OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13; 98,99 in Y14/Y14a ============================== VAR M960645 COLUMNS 4883 - 4885 NUMERIC Y14b IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR M960646 COLUMNS 4886 - 4886 NUMERIC Y14c IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 1. Someone else 2. Both someone else and self 3. Self-employed 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 ============================== VAR M960647 COLUMNS 4887 - 4887 NUMERIC Y14d IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 3,8,9 in Y14c ============================== VAR M960648 COLUMNS 4888 - 4888 NUMERIC Y14e IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? ----------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 ============================== VAR M960649 COLUMNS 4889 - 4890 NUMERIC Y14f IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: 97. 97 hours or more 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e ============================== VAR M960650 COLUMNS 4891 - 4891 NUMERIC Y14g IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: Are you doing any work for pay at the present time? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e ============================== VAR M960651 COLUMNS 4892 - 4892 NUMERIC Y14h IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R IS NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? ----------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g ============================== VAR M960652 COLUMNS 4893 - 4893 NUMERIC Y14j IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R IS NOT CURRENTLY WORKING : How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 1. A lot 2. Somewhat 3. Not much 8. DK 9. NA 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g ============================== VAR M960653 COLUMNS 4894 - 4894 NUMERIC Y15 IF R IS HOMEMAKER/STUDENT: Are you doing ANY work for pay at the present time? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6 ============================== VAR M960654 COLUMNS 4895 - 4895 NUMERIC Y15a IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: In the last six months, did you do any work for pay? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 ============================== VAR M960655 COLUMNS 4896 - 4897 NUMERIC Y16/Y16a IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? ----------------------------------------------------------- The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR M960656 COLUMNS 4898 - 4899 NUMERIC Y16ax(1) IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: CENSUS OCCUPATION, COLLAPSED ----------------------------------------------------------- Built from Y14, Y14a. 1980 Census major group categories, collapsed from Y16/Y16a. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR M960657 COLUMNS 4900 - 4900 NUMERIC Y16ax(2) IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a; 98,99 in Y16/Y16a ============================== VAR M960658 COLUMNS 4901 - 4903 NUMERIC Y16b IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: What kind of (business/industry) was that? ----------------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR M960659 COLUMNS 4904 - 4904 NUMERIC Y16c IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- 1. Someone else 2. Both someone else and self 3. Self-employed 8. DK 9. NA 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR M960660 COLUMNS 4905 - 4905 NUMERIC Y16d IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a; 3,8,9 in Y16c ============================== VAR M960661 COLUMNS 4906 - 4907 NUMERIC Y16f IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- Number of hours worked 1-96 and: 97. 97 hours or more 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR M960662 COLUMNS 4908 - 4908 NUMERIC Y16h IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15 ============================== VAR M960663 COLUMNS 4909 - 4909 NUMERIC Y16j IF R IS HOMEMAKER/STUDENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- 1. A lot 2. Somewhat 3. Not much 8. DK 9. NA 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 ============================== VAR M960664 COLUMNS 4910 - 4911 NUMERIC Y7/Y7a IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960665 COLUMNS 4912 - 4913 NUMERIC Y7ax(1) IF R IS WORKING NOW/ TEMPORARILY LAID OFF: CURRENT CENSUS OCCUPATION, COLLAPSED ----------------------------------------------------------- Built from Y7, Y7a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categories in Y7,Y7a. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960666 COLUMNS 4914 - 4914 NUMERIC Y7ax(2) IF R IS WORKING NOW/ TEMPORARILY LAID OFF: CURRENT OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 98, 99 in Y7/Y7a ============================== VAR M960667 COLUMNS 4915 - 4917 NUMERIC Y7b IF R IS WORKING NOW/ TEMPORARILY LAID OFF: What kind of (business/industry) is that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960668 COLUMNS 4918 - 4918 NUMERIC Y7c IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Do you work for someone else, are you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 1. Someone else 2. Both someone else and self 3. Self employed 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960669 COLUMNS 4919 - 4919 NUMERIC Y7d IF R IS WORKING NOW/ TEMPORARILY LAID OFF: IF R DOES NOT WORK EXCLUSIVELY FOR SELF: Are you employed by a federal, state or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 1. Yes 5. No 8. DK 9. NA 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 3,8,9 in Y7c ============================== VAR M960670 COLUMNS 4920 - 4921 NUMERIC Y7e IF R IS WORKING NOW/ TEMPORARILY LAID OFF: About how many hours do you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Codes 1-96 and: 97. 97 hours or more 98. DK 99. NA; RF 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960671 COLUMNS 4922 - 4922 NUMERIC Y7f IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Is that MORE hours than you want to work, FEWER hours than you want to work, or generally ABOUT RIGHT? ----------------------------------------------------------- 1. More 2. Fewer 3. About right 8. DK 9. NA; RF 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 98,99 in Y7e ============================== VAR M960672 COLUMNS 4923 - 4923 NUMERIC Y7g IF R IS WORKING NOW/ TEMPORARILY LAID OFF: How worried are you about losing your job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 1. A lot 2. Somewhat 3. Not much at all 8. DK 9. NA; RF 0. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960673 COLUMNS 4924 - 4924 NUMERIC Y7h IF R IS WORKING NOW, NOT TEMPORARILY LAID OFF: Were you out of work or laid off at any time during the last six months? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960674 COLUMNS 4925 - 4925 NUMERIC Y7j IF R IS WORKING NOW, NOT TEMPORARILY LAID OFF: During the last six months, have you had a reduction in your work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR M960675 COLUMNS 4926 - 4927 NUMERIC RC1 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R CENSUS OCCUPATION CODE ----------------------------------------------------------- Built from Y7/Y7a, Y10/Y10a, Y12/Y12a, Y14/Y14a. This variable combines employment data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7/Y7a], - Unemployed [past emp. in Y10/Y10a], - Retired [past emp. in Y12/Y12a, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14/Y14a] Note that homemakers or students without current outside employment are coded 00 [Y16/Y16a data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7/Y7a coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain acceess to the full 3-digit code values. See CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR M960676 COLUMNS 4928 - 4929 NUMERIC RC2 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R COLLAPSED CENSUS OCCUPATION CODE ----------------------------------------------------------- This variable combines employment data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7ax(1)], - Unemployed [past employment in Y10ax(1)], - Retired [past emp. in Y12ax(1), whether R is currently working or not], - Permanently disabled, not working [past emp in Y14ax(1)] Note that homemakers or students without current outside employment are coded 00 [Y16ax(1) data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7ax(1) coded here. Retirees who are also currently working have past occupation from Y12ax(1) coded here rather than current occupation in Y7ax(1). 1980 Census Major Group categories, collapsed from full categories. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of armed forces (900) 98. DK 99. NA 00. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR M960677 COLUMNS 4930 - 4930 NUMERIC RC3 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R PRESTIGE SCORE ----------------------------------------------------------- Built from Y7ax(2), Y10ax(2), Y12ax(2), Y14ax(2). This variable combines employment data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7ax(2)], - Unemployed [past emp. in Y10ax(2)], - Retired [past emp. in Y12ax(2), whether R is currently working or not], - Permanently disabled, not working [past emp in Y14ax(2)] Note that homemakers or students without current outside employment are coded 0 [Y16ax(2) data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7ax(2) coded here. Retirees who are also currently working have past occupation from Y12ax(2) coded here rather than current occupation in Y7ax(2). NOTE: Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James a Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 98,99 in Y7/Y7a, Y10/Y10a, Y12/Y12a, or Y14/Y14a ============================== VAR M960678 COLUMNS 4931 - 4933 NUMERIC RC4 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What do/did they make or do where you work/ed? What kind of a business or industsry is/was that? STACKED- R CENSUS INDUSTRY CODE ----------------------------------------------------------- Built from Y7b, Y10b, Y12b, Y14b. This variable combines industry data for all Rs who are currently: - Employed or temp. laid off [current industry in Y7b], - Unemployed [past industry in Y10b], - Retired [past industry in Y12b, whether R is currently working or not], - Permanently disabled, not working [past industry in Y14b] Note that homemakers or students without current outside employment are coded 000 [Y16b data are NOT used]. The disabled and homemakers or students who are also currently working have industry data for their current occupation from Y7b coded here. Retirees who are also currently working have industry data for past occupation from Y12b coded here rather than for current occupation in Y7b. See CENSUS INDUSTRY Master Code. Codes 010-990 and: 998. DK 999. NA 000. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR M960679 COLUMNS 4934 - 4934 NUMERIC RC5 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / Do/did you work for someone else, are/were you self- employed, or what? STACKED- R SELF EMPLOYED ----------------------------------------------------------- Built from Y7c, Y10c, Y12c, Y14c. This variable combines data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7c], - Unemployed [past emp. in Y10c], - Retired [past emp. in Y12c, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14c] Note that homemakers or students without current outside employment are coded 0 [Y16c data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7c coded here. Retirees who are also currently working have data for past occupation from Y12c coded here rather than for current occupation in Y7c. 1. Someone else 2. Both someone else and self 3. Self-employed 8. DK 9. NA 0. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR M960680 COLUMNS 4935 - 4935 NUMERIC RC6 IF R WORKS/WORKED NOT EXCLUSIVELY FOR SELF and: R IS WORKING NOW OR TLO/ : R IS RETIRED: / R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / R IS DISABLED AND HAS EVER WORKED FOR PAY: Are/were you employed by a federal, state or local government? STACKED- R EMPLOYED BY GOVERNMENT ----------------------------------------------------------- Built from Y7d, Y10d, Y12d, Y14d. This variable combines data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7d], - Unemployed [past emp. in Y10d], - Retired [past emp. in Y12d, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14d]. Note that homemakers or students without current outside employment are coded 0 [Y16d data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7d coded here. Retirees who are also currently working have data for past occupation from Y12d coded here rather than for current occupation in Y7d. 1. Yes 5. No 8. DK 9. NA 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y7c, Y10c, Y12c or Y14c ============================== VAR M960681 COLUMNS 4936 - 4937 NUMERIC RC7 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS UNEMPLOYED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS DISABLED BUT HAS WORKED IN PAST 6 MONTHS: / About how many hours do/did you work on your job in the average week? STACKED- HOURS R WORKS/WORKED PER WEEK ----------------------------------------------------------- Built from Y7e, Y10f, Y12f, Y14f. This variable combines data for all Rs who have worked within the past six months and who are currently: - Employed or temp. laid off [present emp. in Y7e], - Unemployed [emp. within past 6 months in Y10f], - Retired [emp. within past 6 months in Y12f], - Permanently disabled [emp. within past 6 months in Y14f]. Note that homemakers or students without current outside employment are coded 00 [Y16f data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7e coded here. For retirees, since data for number of hours worked describes recent employment within past 6 months, this may in effect describe pre-retirement employment (e.g. very recent retirees), current employment (e.g. working retirees continuing a post-retirement job), or employment that is neither pre-retirement nor a current job. Number of hours worked, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y10e, Y12e or Y14e ============================== VAR M960682 COLUMNS 4938 - 4938 NUMERIC RC8 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED: / IF R IS DISABLED AND NOT CURRENTLY WORKING: / How worried are you about losing your job/ not being able to find a job in the near future: a lot, somewhat, or not much at all? STACKED- R WORRIED ABOUT FINDING/LOSING JOB ----------------------------------------------------------- Built from Y7g, Y10h, Y12j, Y14j. This variable combines data for all Rs who are currently: - Employed or temp. laid off [Y7g], (including working retired and working disabled) - Unemployed [Y10h], - Retired and not working [Y12j], - Permanently disabled and not working [Y14j]. Note that homemakers or students without current outside employment are coded 0 [Y16j data are NOT used]. 1. A lot 2. Somewhat 3. Not much at all 8. DK 9. NA 0. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR M960683 COLUMNS 4939 - 4939 NUMERIC RC9 IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: Have you had a job in the past 6 months? STACKED- HAS R HAD JOB IN LAST 6 MONTHS ----------------------------------------------------------- Built from Y10e, Y12e, Y14e. This variable combines data for all Rs who are currently: - Unemployed [Y10e], - Retired [Y12e], - Permanently disabled, if R has ever worked [Y14e] 1. Yes 5. No 8. DK 9. NA 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR M960684 COLUMNS 4940 - 4940 NUMERIC RC10 IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED, HAS EVER WORKED FOR PAY, IS NOT CURRENTLY WORKING: Are you looking for work at the present time? STACKED- IS R LOOKING FOR WORK ----------------------------------------------------------- Built from Y10g, Y12h, Y14h. This variable combines data for all Rs who are currently: - Unemployed [Y10g], - Retired, if R is not currently working [Y12h], - Permanently disabled, if R has ever worked but is not currently working [Y14h]. 1. Yes 5. No 8. DK 9. NA 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 1 in Y12g; 1 in Y14g ============================== VAR M960685 COLUMNS 4941 - 4941 NUMERIC RC11 IF R IS UNEMPLOYED: / IF R IS DISABLED: STACKED- HAS R EVER WORKED FOR PAY ----------------------------------------------------------- Built from Y9 and Y13. 1. Yes 5. No 8. DK 9. NA 0. Inap, 10,15,17,18,20,50,51,70,71,75,80,81,99 in Y6 ============================== VAR M960686 COLUMNS 4942 - 4943 NUMERIC Y17(1) IF R IS MARRIED OR PARTNERED: Please turn to page 20 of the booklet. We'd like to know about your (husband/wife/partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SPOUSE/ PARTNER EMPLOYMENT STATUS SUMMARY ----------------------------------------------------------- Built from Y17(1) and Y17c. The spouse employment status summary variables differ somewhat from previous years because number of hours of current employment was not consistently obtained (categories 15,16,17,18 here contain data formerly coded 15 and 51, 16 and 61, 17 and 71, 18 and 81). Y section questions apply to spouses/partners as follows: Y17a - 16, 40, 60 Y17b, Y7b(1) - 15, 50 Y17c, Y17d - 17, 18, 70, 75, 80 Y17e/f(1),Y17fx(1a), Y17fx(2a), Y17g(1), Y17h(1) - 10, 15, 16, 17, 18, 20, 40 (if ever worked), 50, 60 (if ever worked) Y17e/f(2), Y17fx(1b), Y17fx(2b), Y17g(2), Y17h(2) - 70/75/80 (if worked in past 6 months) 10. WORKING NOW only 15. WORKING NOW and retired (any number of hours) 16. WORKING NOW and permanently disabled, currently working 20 or more hours per week 17. WORKING NOW and homemaker (any number of hours) 18. WORKING NOW and student (any number of hours) 20. TEMPORARILY LAID OFF 40. UNEMPLOYED 50. RETIRED, not working 60. PERMANENTLY DISABLED, not working 70. HOMEMAKER, not working 75. HOMEMAKER and student (R volunteers), not working 80. STUDENT, not working 99. NA 00. Inap, 2,3,4,5,9 in Y2 ============================== VAR M960687 COLUMNS 4944 - 4944 NUMERIC Y17(2) IF R IS MARRIED OR PARTNERED: Please turn to page 20 of the booklet. We'd like to know about your (husband/wife/partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SUMMARY - SPOUSE EMPLOYMENT STATUS ----------------------------------------------------------- Built from Y17(1). See note Y17(1). 1. R WORKING NOW (working now or working 20 hours or more per week if also retired, permanently disabled, homemaker or student) [10, 15-18 in Y6] 2. SPOUSE/PARTNER TEMPORARILY LAID OFF 4. SPOUSE/PARTNER UNEMPLOYED 5. SPOUSE/PARTNER RETIRED (may also be working) 6. R PERMANENTLY DISABLED, not working or working fewer than 20 hours per week [50,51 in Y6] 7. SPOUSE/PARTNER HOMEMAKER, not working 8. SPOUSE/PARTNER STUDENT, not working 9. NA 0. Inap, 2,3,4,5,9 in Y2 ============================== VAR M960688 COLUMNS 4945 - 4945 NUMERIC Y17a IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED: Has (he/she) ever done any work for pay? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 2,3,4,5,9 in Y2; 10, 15, 17, 18, 20, 50, 70, 75, 80, 99 in Y17(1) ============================== VAR M960689 COLUMNS 4946 - 4947 NUMERIC Y17b IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS RETIRED: When did (he/she) retire? MONTH ----------------------------------------------------------- 1. January 2. February 3. March 4. April 5. May 6. June 7. July 8. August 9. September 10. October 11. November 12. December 98. DK 99. NA; RF 00. Inap, 2,3,4,5,9 in Y2; 10, 16, 17, 18, 20, 40, 60, 70, 75, 80, 99 in Y17(1) ============================== VAR M960690 COLUMNS 4948 - 4951 NUMERIC Y17b(1) IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS RETIRED: When did (he/she) retire? YEAR ----------------------------------------------------------- 4-digit year of retirement, and: 9998. DK 9999. NA; RF 0000. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1) ============================== VAR M960691 COLUMNS 4952 - 4952 NUMERIC Y17c IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS HOMEMAKER OR STUDENT: Is (he/she) doing any work for pay at the present time? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 2,3,4,5,9 in Y2; 10, 15, 16, 20, 40, 50, 60, 99 in Y17(1) ============================== VAR M960692 COLUMNS 4953 - 4953 NUMERIC Y17d IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS HOMEMAKER OR STUDENT: IF SPOUSE/PARTNER IS NOT CURRENTLY WORKING FOR PAY: In the last six months, did (he/she) do any work for pay? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 2,3,4,5,9 in Y2; 10, 15, 16, 20, 40, 50, 60, 99 in Y17(1); 1,8,9 in Y17c ============================== VAR M960693 COLUMNS 4954 - 4955 NUMERIC Y17e/f(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? ----------------------------------------------------------- Occupation code data for nonworking homemaker/ student spouses (last 6 months) are found in Y17e/f(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17e/f(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The occupation codes which would have been otherwise assigned to these cases are, respectively, 30, 22,48,71. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR M960694 COLUMNS 4956 - 4957 NUMERIC Y17fx(1a) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? SPOUSE COLLAPSED CENSUS OCCUPATION CODE ----------------------------------------------------------- 1980 Census Major group categories, collapsed from full categories in Y17e/f(1). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17fx(1b) for employment within past 6 months]. Occupation code data for nonworking homemaker/ student spouses (last 6 months) are found in Y17fx(1b) The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The occupation codes which would have been otherwise assigned to these cases are, respectively, 5,5,10,14. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of armed forces (900) 98. DK 99. NA 00. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR M960695 COLUMNS 4958 - 4958 NUMERIC Y17fx(2a) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? SPOUSE OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- Prestige score data for nonworking homemaker/ student spouses (last 6 months) are found in Y17fx(2b). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17fx(2b) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded NA in this variable. NOTE: Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James a Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR MV960696 Y17g(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : What kind of (business/industry) (is/was) that? ----------------------------------------------------------- Industry data for nonworking homemaker/ student spouses (last 6 months) are found in Y17g(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17g(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The industry codes which would have been otherwise assigned to these cases are, respectively, 412,441,060,932 See CENSUS INDUSTRY Master Code. Codes 010-990 and: 998. DK 999. NA 000. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR M960697 COLUMNS 4962 - 4963 NUMERIC Y17h(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : How many hours (does/did) (he/she) work in an average week? ----------------------------------------------------------- Hours worked data for nonworking homemaker/ student spouses (last 6 months)are found in Y17h(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17h(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The hours which which would have been otherwise assigned to these cases are, respectively, 40,40,50,20. Number of hours worked, 1-96 and: 97. Ninety-seven or more hours 98. DK 99. NA; RF 00. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR M960698 COLUMNS 4964 - 4964 NUMERIC Y18 Do you or anyone else in this household belong to a labor union? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA ============================== VAR M960699 COLUMNS 4965 - 4966 NUMERIC Y18a IF R OR SOMEONE IN R'S HOUSEHOLD BELONGS TO LABOR UNION: Who is it that belongs? [CHECK ALL THAT APPLY] ----------------------------------------------------------- 11. Respondent only 12. Spouse only 13. Other household member only 21. R and spouse 22. R and other household member 23. Spouse and other household member 31. R, spouse and other household member 32. R and two or more other household members 33. Spouse and two or more other household members 99. NA 00. Inap, 5,8,9 in Y18 ============================== VAR M960700 COLUMNS 4967 - 4967 NUMERIC Y19 CHECKPOINT - IS R ONLY HOUSEHOLD MEMBER AGE 14 OR OLDER? ----------------------------------------------------------- 1. Yes 5. No ============================== VAR M960701 COLUMNS 4968 - 4969 NUMERIC Y20 IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: Please look at page 21 of the booklet and tell me the letter of the income group that includes the income of all members of your family living here in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] ----------------------------------------------------------- Rs who do not live with a family member age 14 or older were not asked this question. Their response to Y21 was duplicated in this variable. Note that in 53 cases, due to interviewer error in the Y19 checkpoint administration, the Y20 family income question was not administered although R was not the only household member aged 14 and older. These cases have been coded NA; their individual income data have not been duplicated here. Additional note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. 1. A. None or less than $2,999 2. B. $3,000-$4,999 3. C. $5,000-$6,999 4. D. $7,000-$8,999 5. E. $9,000-$9,999 6. F. $10,000-$10,999 7. G. $11,000-$11,999 8. H. $12,000-$12,999 9. J. $13,000-$13,999 10. K. $14,000-$14.999 11. M. $15,000-$16,999 12. N. $17,000-$19,999 13. P. $20,000-$21,999 14. Q. $22,000-$24,999 15. R. $25,000-$29,999 16. S. $30,000-$34,999 17. T. $35,000-$39,999 18. U. $40,000-$44,999 19. V. $45,000-$49,999 20. W. $50,000-$59,999 21. X. $60,000-$74,999 22. Z. $75,000-89,999 23. AA. $90,000-$104,999 24. BB. $105,000 and over 88. Refused 98. DK 99. NA 00. Inap, 1 in Y19 (these cases duplicated from Y20a/Y21) ============================== VAR M960702 COLUMNS 4970 - 4971 NUMERIC Y20a/Y21 Y20a. IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: / Y21. IF R IS ONLY HOUSEHOLD MEMBER 14 OR OLDER: Y20a.(Looking at page 21 of the booklet) Now we are interested in the income that you yourself received in 1995, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] Y21. Looking at page 21 of the booklet tell me the letter of the income group that includes the income you had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ----------------------------------------------------------- Note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. 1. A. None or less than 2,999 2. B. $3,000-4,999 3. C. $5,000-6,999 4. D. $7,000-8,999 5. E. $9,000-9,999 6. F. $10,000-10,999 7. G. $11,000-11,999 8. H. $12,000-12,999 9. J. $13,000-13,999 10. K. $14,000-14,999 11. M. $15,000-15,999 12. N. $17,000-19,999 13. P. $20,000-21,999 14. Q. $22,000-24,999 15. R. $25,000-29,999 16. S. $30,000-34,999 17. T. $35,000-39,999 18. U. $40,000-44,999 19. V. $45,000-49,999 20. W. $50,000-59,999 21. X. $60,000-74,999 22. Z. $75,000-89,999 23. AA. $90,000-104,999 24. BB. $105,000 and over 88. Refused 98. DK 99. NA ============================== VAR M960703 COLUMNS 4972 - 4973 NUMERIC Y22(1) In addition to being American, what do you consider your main ethnic group or nationality group? [MENTION 1] ----------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: 97. Other 98. DK 99. NA; RF 00. None; "just American" ============================== VAR M960704 COLUMNS 4974 - 4975 NUMERIC Y22(2) In addition to being American, what do you consider your main ethnic group or nationality group? [MENTION 2] ----------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: 97. Other 00. Inap, 0,98,99 in Y22(1); no further mention ============================== VAR M960705 COLUMNS 4976 - 4976 NUMERIC Y22(3) CHECKPOINT - NUMBER OF NATIONALITY GROUPS R MENTIONED ----------------------------------------------------------- 1. ONE NATIONALITY OR ETHNIC GROUP MENTIONED 2. MORE THAN ONE NATIONALITY OR ETHNIC GROUP MENTIONED 3. NO NATIONALITY/GROUP MENTIONED 9. R REFUSED OR DK ANSWER TO NATIONALITY OR ETHNICITY (98,99 in Y22(1)) ============================== VAR M960706 COLUMNS 4977 - 4978 NUMERIC Y22a IF R HAS IDENTIFIED WITH MORE THAN 1 NATIONALITY GROUP: With which of these groups do you most closely identify? ----------------------------------------------------------- Rs giving only 1 mention to Y22 were not asked this question; their single response to Y22 has been duplicated in this variable. Note that there were 30 cases which should have been coded 2 (more than 1 nationality) in Y22(3) but were erroneously coded 1 (only 1 nationality), with the result that Y22a was not asked (R's 'choice' was unknown). See ICPSR Nationality MASTER CODE codes 1-96 and: 90. None, neither 98. DK 99. NA 00. Inap, 1,3,9 in Y22(3) ============================== VAR M960707 COLUMNS 4979 - 4979 NUMERIC Y22b Were both your parents born in this country? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA ============================== VAR M960708 COLUMNS 4980 - 4980 NUMERIC Y23 Are you of Spanish or Hispanic origin or descent? / [Is R of Spanish or Hispanic origin or descent?] ----------------------------------------------------------- This question was addressed to the respondent if R did not identify a hispanic group in Y22(1) or Y22(2). If R mentioned a hispanic group in Y22(1)/Y22(2) then the interviewer coded the appropriate response. 1. Yes 5. No 8. DK 9. NA ============================== VAR M960709 COLUMNS 4981 - 4981 NUMERIC Y23a IF R HAS MENTIONED SPANISH/ HISPANIC ETHNIC OR NATIONALITY GROUP: Please look at page 22 of the booklet and tell me which category best describes your Hispanic origin. ----------------------------------------------------------- 1. Mexican 2. Puerto Rican 3. Cuban 4. Latin American 5. Central American 6. Spanish 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, 5,8,9 in Y23 ============================== VAR M960710 COLUMNS 4982 - 4983 NUMERIC Y24/Y24a Y24.What kind of work did your father (or father substitute) do for a living while you were growing up? Y24a.What was his main occupation? What were his most important activities or duties? Y24b.What kind of business or industry was that? FATHER'S OCCUPATION - CPS 2-DIGIT OCCUPATION CODE ----------------------------------------------------------- 98. DK 99. NA 00. Inap, no father/substitute when growing up ============================== VAR M960711 COLUMNS 4984 - 4986 NUMERIC Y25 Where was it that you grew up? [IF UNITED STATES: Which state or state?] ----------------------------------------------------------- See ICPSR STATE AND COUNTRY Master Code. If R grew up in more than one state or country, the place where R lived longest between ages 6 and 18 was coded. Codes 101-997 and: 998. DK 999. NA ============================== VAR M960712 COLUMNS 4987 - 4988 NUMERIC Y26 How long have you lived in your present (city/town/township/county)? ----------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: 00. Less than 6 months 1. 6-12 months; 1 year 2. 13-24 months; 2 years 89. 89 years or more 90. All of life 98. DK 99. NA ============================== VAR M960713 COLUMNS 4989 - 4990 NUMERIC Y27 How long have you lived in this (house/condo/apartment)? ----------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: 00. Less than 6 months 1. 6-12 months; 1 year 2. 13-24 months; 2 years 89. 89 years or more 90. All of life 98. DK 99. NA ============================== VAR M960714 COLUMNS 4991 - 4991 NUMERIC Y28 (Do you/ Does your family) own your home, pay rent, or what? ----------------------------------------------------------- 1. Own house 2. Pay rent 7. Other (specify) 8. DK 9. NA; RF ============================== VAR M960715 COLUMNS 4992 - 4994 NUMERIC Y29 And finally, about how many miles do you drive in a typical day? ----------------------------------------------------------- Codes 0- 600 and: 998. DK 999. NA; RF ============================== VAR M960716 COLUMNS 4995 - 4995 NUMERIC Rand.A4 RANDOMIZATION Position of Clinton in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Clinton likes/dislikes are A4- A5a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). 99. NA ============================== VAR M960717 COLUMNS 4996 - 4996 NUMERIC Rand.A6 RANDOMIZATION Position of Dole in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Dole likes/dislikes are A6- A7a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). 99. NA ============================== VAR M960718 COLUMNS 4997 - 4997 NUMERIC Rand.A8 RANDOMIZATION Position of Perot in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Perot likes/dislikes are A8- A9a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). 99. NA ============================== VAR M960719 COLUMNS 4998 - 4999 NUMERIC Rand.D1d RANDOMIZATION Position of Gore in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Gore thermometer is D1d]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960720 COLUMNS 5000 - 5001 NUMERIC Rand.D1e RANDOMIZATION Position of Kemp in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Kemp thermometer is D1e]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960721 COLUMNS 5002 - 5003 NUMERIC Rand.D1f RANDOMIZATION Position of Choate/Campbell in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Choate/Campbell thermometer is D1f]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960722 COLUMNS 5004 - 5005 NUMERIC Rand.D1g RANDOMIZATION Position of Democratic House candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Democratic House Candidate thermometer is D1g]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA 00. Inap, no Democratic House candidate (House type race 24) or Washington DC ============================== VAR M960723 COLUMNS 5006 - 5007 NUMERIC Rand.D1h RANDOMIZATION Position of Republican House candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Republican House Candidate thermometer is D1h]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA 00. Inap, no Republican House candidate (House type race 14) or Washington DC ============================== VAR M960724 COLUMNS 5008 - 5009 NUMERIC Rand.D1j RANDOMIZATION Position of Retiring House representative candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Retiring House Representative thermometer is D1j]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA 00. Inap, no retiring House representative (House type race 12,14,21,24) or Washington DC ============================== VAR M960725 COLUMNS 5010 - 5011 NUMERIC Rand.D1k RANDOMIZATION Position of Hillary Clinton in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Hillary Clinton thermometer is D1k]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960726 COLUMNS 5012 - 5013 NUMERIC Rand.D1m RANDOMIZATION Position of Buchanan in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Buchanan thermometer is D1m]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960727 COLUMNS 5014 - 5015 NUMERIC Rand.D1n RANDOMIZATION Position of Jackson in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Jackson thermometer is D1n]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960728 COLUMNS 5016 - 5017 NUMERIC Rand.D1p RANDOMIZATION Position of Gingrich in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Gingrich thermometer is D1p]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960729 COLUMNS 5018 - 5019 NUMERIC Rand.D1q RANDOMIZATION Position of Powell in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Powell thermometer is D1q]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960730 COLUMNS 5020 - 5021 NUMERIC Rand.D1r RANDOMIZATION Position of Forbes in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Forbes thermometer is D1r]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960731 COLUMNS 5022 - 5023 NUMERIC Rand.D1s RANDOMIZATION Position of Gramm in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Gramm thermometer is D1s]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960732 COLUMNS 5024 - 5025 NUMERIC Rand.D1t RANDOMIZATION Position of Farrakhan in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Farrakhan thermometer is D1t]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960733 COLUMNS 5026 - 5027 NUMERIC Rand.D1u RANDOMIZATION Position of Alexander in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Alexander thermometer is D1u]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960734 COLUMNS 5028 - 5029 NUMERIC Rand.D1v RANDOMIZATION Position of Elizabeth Dole in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Elizabeth Dole thermometer is D1v]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960735 COLUMNS 5030 - 5031 NUMERIC Rand.D1w RANDOMIZATION Position of Robertson in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Robertson thermometer is D1w]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR M960736 COLUMNS 5032 - 5032 NUMERIC Rand.D2a RANDOMIZATION Position of Democratic party in Pre questions D2a,D2b [Major party thermometers] ----------------------------------------------------------- See D2a-D2b in Pre survey vars [Democratic party thermometer is D2a]. Major party thermometers follow thermometers for individual political figures (D1a-D1w) and are randomized separately. Codes 1,2 (1st or 2nd party mentioned). 9. NA ============================== VAR M960737 COLUMNS 5033 - 5033 NUMERIC Rand.D2b RANDOMIZATION Position of Republican party in Pre questions D2a,D2b [Major party thermometers] ----------------------------------------------------------- See D2a-D2b in Pre survey vars [Republican party thermometer is D2b]. Major party thermometers follow thermometers for individual political figures (D1a-D1w) and are randomized separately. Codes 1,2 (1st or 2nd party mentioned). 9. NA ============================== VAR M960738 COLUMNS 5034 - 5034 NUMERIC Rand.E2 RANDOMIZATION Position of Economy in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Economy performance is E2]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR M960739 COLUMNS 5035 - 5035 NUMERIC Rand.E3 RANDOMIZATION Position of Foreign Relations in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Foreign Relations performance is E3]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR M960740 COLUMNS 5036 - 5036 NUMERIC Rand.E4 RANDOMIZATION Position of Environment in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Environment performance is E4]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR M960741 COLUMNS 5037 - 5037 NUMERIC Rand.E5 RANDOMIZATION Position of Health Care in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Health Care performance is E5]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR M960742 COLUMNS 5038 - 5038 NUMERIC Rand.E6 RANDOMIZATION Order of Presidential candidate names read in texts of Pre questions E6a-E6d, E7, E8 [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d,E7,E8 in Pre survey vars. For each respondent, order of the 3 presidential candidate names (Clinton, Dole, Perot) was randomized; the resulting order was then read consistently in the texts of questions E6a- E6b,E7,E8. 1. Clinton, Dole, Perot 2. Dole, Perot, Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA ============================== VAR M960743 COLUMNS 5039 - 5039 NUMERIC Rand.E6a RANDOMIZATION Position of Environment in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Environment candidate performance is E6a]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR M960744 COLUMNS 5040 - 5040 NUMERIC Rand.E6b RANDOMIZATION Position of Budget Deficit in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Budget Deficit candidate performance is E6b]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR M960745 COLUMNS 5041 - 5041 NUMERIC Rand.E6c RANDOMIZATION Position of Public Education in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Public Education candidate performance is E6c]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR M960746 COLUMNS 5042 - 5042 NUMERIC Rand.E6d RANDOMIZATION Position of Reducing the Power of Special Interests in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Reducing Speical Interests candidate performance is E6d]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR M960747 COLUMNS 5043 - 5043 NUMERIC Rand.F1 RANDOMIZATION Position of Republican Party in Pre questions F1-F2a(5), F3-F4a(5) [Major parties, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'like/dislikes' mentions for Republican Party and Democratic Party [Republican Party likes/dislikes are F1-F2a(5)]. Codes 1,2 (1st, 2nd party mentioned) and: 9. NA 0. Inap, respondent not randomly selected for F1-F4 questions (0 in E10) ============================== VAR M960748 COLUMNS 5044 - 5044 NUMERIC Rand.F3 RANDOMIZATION Position of Democratic Party in Pre questions F1-F2a(5), F3-F4a(5) [Major parties, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'like/dislikes' mentions for Republican Party and Democratic Party [Democratic Party likes/dislikes are F3-F4a(5)]. Codes 1,2 (1st, 2nd party mentioned) 9. NA 0. Inap, respondent not randomly selected for F1-F4 questions (0 in E10) ============================== VAR M960749 COLUMNS 5045 - 5045 NUMERIC Rand.G1 RANDOMIZATION Position of Clinton in Pre questions G1a-G3d(1) [Presidential candidates, affects] ----------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Clinton affects are G1a-G1d(1)]. This variable describes whether Clinton's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) 9. NA ============================== VAR M960750 COLUMNS 5046 - 5046 NUMERIC Rand.G2 RANDOMIZATION Position of Dole in Pre questions G1a-G3d(1) [Presidential candidates, affects] ----------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Dole affects are G2a-G2d(1)]. This variable describes whether Dole's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) 9. NA ============================== VAR M960751 COLUMNS 5047 - 5047 NUMERIC Rand.G3 RANDOMIZATION Position of Perot in Pre questions G1a-G3d(1) [Presidential candidates, affects] ----------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Perot affects are G3a-G3d(1)]. This variable describes whether Perot's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) 9. NA ============================== VAR M960752 COLUMNS 5048 - 5048 NUMERIC Rand.G1a RANDOMIZATION Position of Angry in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Angry is G1a]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR M960753 COLUMNS 5049 - 5049 NUMERIC Rand.G1b RANDOMIZATION Position of Hopeful in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Hopeful is G1b]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR M960754 COLUMNS 5050 - 5050 NUMERIC Rand.G1c RANDOMIZATION Position of Afraid in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Afraid is G1c]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR M960755 COLUMNS 5051 - 5051 NUMERIC Rand.G1d RANDOMIZATION Position of Proud in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Proud is G1d]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR M960756 COLUMNS 5052 - 5052 NUMERIC Rand.G2a RANDOMIZATION Position of Angry in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Angry is G2a]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR M960757 COLUMNS 5053 - 5053 NUMERIC Rand.G2b RANDOMIZATION Position of Hopeful in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Hopeful is G2b]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR M960758 COLUMNS 5054 - 5054 NUMERIC Rand.G2c RANDOMIZATION Position of Afraid in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Afraid is G2c]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR M960759 COLUMNS 5055 - 5055 NUMERIC Rand.G2d RANDOMIZATION Position of Proud in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Proud is G2d]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR M960760 COLUMNS 5056 - 5056 NUMERIC Rand.G3a RANDOMIZATION Position of Angry in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Angry is G3a]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR M960761 COLUMNS 5057 - 5057 NUMERIC Rand.G3b RANDOMIZATION Position of Hopeful in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Hopeful is G3b]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR M960762 COLUMNS 5058 - 5058 NUMERIC Rand.G3c RANDOMIZATION Position of Afraid in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Afraid is G3c]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR M960763 COLUMNS 5059 - 5059 NUMERIC Rand.G3d RANDOMIZATION Position of Proud in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Proud is G3d]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR M960764 COLUMNS 5060 - 5060 NUMERIC Rand.G5 RANDOMIZATION Position of Clinton in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ----------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Clinton is G5-G5a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960765 COLUMNS 5061 - 5061 NUMERIC Rand.G6 RANDOMIZATION Position of Dole in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ----------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Dole is G6-G6a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960766 COLUMNS 5062 - 5062 NUMERIC Rand.G7 RANDOMIZATION Position of Perot in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ----------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Perot is G7-G7a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960767 COLUMNS 5063 - 5063 NUMERIC Rand.G8 RANDOMIZATION Position of Democratic House Candidate in Pre questions G8-G9a [House candidates, Liberal-conservative placements] ----------------------------------------------------------- See G8-G9a in Pre survey vars for liberal-conservative placements of Democratic and Republican House candidates [Democratic candidate is G8-G8a]. House candidate placements follow the 3 Presidential candidate placements (G5-G7a) and precede the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC ============================== VAR M960768 COLUMNS 5064 - 5064 NUMERIC Rand.G9 RANDOMIZATION Position of Republican House Candidate in Pre questions G8-G9a [House candidates, Liberal-conservative placements] ----------------------------------------------------------- See G8-G9a in Pre survey vars for liberal-conservative placements of Democratic and Republican House candidates [Republican candidate is G9-G9a]. House candidate placements follow the 3 Presidential candidate placements (G5-G7a) and precede the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC ============================== VAR M960769 COLUMNS 5065 - 5065 NUMERIC Rand.G10 RANDOMIZATION Position of Democratic Party in Pre questions G10-G11 [Major parties, Liberal-conservative placements] ----------------------------------------------------------- See G10-G11 in Pre survey vars for liberal-conservative placements of major parties [Democratic Party is G10]. Major party placements follow the 3 Presidential candidate placements (G5-G7a) and the 2 House candidate placements (G7-G9a), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960770 COLUMNS 5066 - 5066 NUMERIC Rand.G11 RANDOMIZATION Position of Republican Party in Pre questions G10-G11 [Major parties, Liberal-conservative placements] ----------------------------------------------------------- See G10-G11 in Pre survey vars for liberal-conservative placements of major parties [Republican Party is G11]. Major party placements follow the 3 Presidential candidate placements (G5-G7a) and the 2 House candidate placements (G7-G9a), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960771 COLUMNS 5067 - 5067 NUMERIC Rand.H4 RANDOMIZATION Order of major parties read in texts of Pre questions H4a-H4h [Party Performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read consistently in the texts of all questions H4a-H4h. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960772 COLUMNS 5068 - 5068 NUMERIC Rand.H4a RANDOMIZATION Position of Nation's Economy in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Nation's Economy is H4a]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960773 COLUMNS 5069 - 5069 NUMERIC Rand.H4b RANDOMIZATION Position of Foreign Affairs in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4b]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960774 COLUMNS 5070 - 5070 NUMERIC Rand.H4c RANDOMIZATION Position of Health Care in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4c]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960775 COLUMNS 5071 - 5071 NUMERIC Rand.H4d RANDOMIZATION Position of Welfare Reform in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in survey vars [Foreign Affairs is H4d]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960776 COLUMNS 5072 - 5072 NUMERIC Rand.H4e RANDOMIZATION Position of Poverty in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4e]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960777 COLUMNS 5073 - 5073 NUMERIC Rand.H4f RANDOMIZATION Position of Budget Deficit in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4f]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960778 COLUMNS 5074 - 5074 NUMERIC Rand.H4g RANDOMIZATION Position of Pollution and Environment in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4g]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960779 COLUMNS 5075 - 5075 NUMERIC Rand.H4h RANDOMIZATION Position of Crime in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4h]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR M960780 COLUMNS 5076 - 5076 NUMERIC Rand.H5 RANDOMIZATION Order of major parties read in text of Pre question H5 (randomized). [Presidential candidate performance, Cut Social Security Benefits] ----------------------------------------------------------- See H5 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H5. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR M960781 COLUMNS 5077 - 5077 NUMERIC Rand.H6 RANDOMIZATION Order of major parties read in text of Pre question H6 (randomized). [Presidential candidate performance, Improve Race Relations] ----------------------------------------------------------- See H6 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H6. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR M960782 COLUMNS 5078 - 5078 NUMERIC Rand.H7 RANDOMIZATION Order of major parties read in text of Pre question H7 (randomized). [Presidential candidate performance, Raise Taxes] ----------------------------------------------------------- See H7 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H7. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR M960783 COLUMNS 5079 - 5079 NUMERIC Rand.H8 RANDOMIZATION Order of major parties read in text of Pre question H8 (randomized). [Presidential candidate performance, Keep Out of War] ----------------------------------------------------------- See H8 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H8. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR M960784 COLUMNS 5080 - 5080 NUMERIC Rand.H13a RANDOMIZATION Order of House candidate names read in text of Pre question H13a [Incumbency Status, Districts with 2 major party candidates]. ----------------------------------------------------------- See H13a in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H13a. 1. Democratic candidate name read first, Republican candidate name read second 2. Republican candidate name read first, Democratic candidate name read second 9. NA 0. Inap, only one major party candidate (type race 14 or 24) or Washington DC ============================== VAR M960785 COLUMNS 5081 - 5081 NUMERIC Rand.K2a RANDOMIZATION Position of Intelligent in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Intelligent is K2a]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960786 COLUMNS 5082 - 5082 NUMERIC Rand.K2b RANDOMIZATION Position of Compassionate in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Compassionate is K2b]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960787 COLUMNS 5083 - 5083 NUMERIC Rand.K2c RANDOMIZATION Position of Moral in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Moral is K2c]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960788 COLUMNS 5084 - 5084 NUMERIC Rand.K2d RANDOMIZATION Position of Inspiring in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Inspiring is K2d]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960789 COLUMNS 5085 - 5085 NUMERIC Rand.K2e RANDOMIZATION Position of Provides Strong Leadership in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Provides Strong Leadership is K2e]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960790 COLUMNS 5086 - 5086 NUMERIC Rand.K2f RANDOMIZATION Position of Really Cares About People Like You in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Really Cares About People Like You is K2f]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960791 COLUMNS 5087 - 5087 NUMERIC Rand.K2g RANDOMIZATION Position of Knowledgeable in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Knowledgeable is K2g]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960792 COLUMNS 5088 - 5088 NUMERIC Rand.K2h RANDOMIZATION Position of Honest in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Honest is K2h]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960793 COLUMNS 5089 - 5089 NUMERIC Rand.K2j RANDOMIZATION Position of Gets Things Done in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Gets Things Done is K2j]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR M960794 COLUMNS 5090 - 5090 NUMERIC Rand.K3 RANDOMIZATION Position of Dole in Pre questions K2a-K4g [Presidential candidates, Traits, K3a-K4g randomized ] ----------------------------------------------------------- See K3a-K3g/K4a-K4g in Pre survey vars for traits of Dole and Perot[Dole traits are K3a-K3g]. This variable describes the order in which Dole and Perot traits were administered. Note that Clinton traits were always asked previously (not randomized). All traits were asked about a candidate before the next candidate's traits were administered. Codes 1,2 (2nd or 3rd Presidential candidate for administration of Traits questions) 9. NA ============================== VAR M960795 COLUMNS 5091 - 5091 NUMERIC Rand.K4 RANDOMIZATION Position of Perot in Pre questions K2a-K4g [Presidential Candidates, Traits, K3a-K4g randomized ] ----------------------------------------------------------- See K3a-K3g/K4a-K4g in Pre survey vars for traits of Dole and Perot[Perot traits are K4a-K4g]. This variable describes whether Perot traits were administered 2nd or 3rd. Note that Clinton traits were always asked first (not randomized). All traits were asked about a candidate before the next candidate's traits were administered. Codes 2,3 (2nd or 3rd Presidential candidate) 9. NA ============================== VAR M960796 COLUMNS 5092 - 5092 NUMERIC Rand.K3/4a RANDOMIZATION Position of Moral in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Moral is K3a and K4a]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960797 COLUMNS 5093 - 5093 NUMERIC Rand.K3/4b RANDOMIZATION Position of Inspiring in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Inspiring is K3b and K4b]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960798 COLUMNS 5094 - 5094 NUMERIC Rand.K3/4c RANDOMIZATION Position of Provides Strong Leadership in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Provides Strong Leadership is K3c and K4c]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960799 COLUMNS 5095 - 5095 NUMERIC Rand.K3/4d RANDOMIZATION Position of Really Cares About People Like You in Pre questions K3a- K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Really Cares About People Like You is K3d and K4d]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960800 COLUMNS 5096 - 5096 NUMERIC Rand.K3/4e RANDOMIZATION Position of Knowledgeable in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Knowledgeable is K3e and K4e]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960801 COLUMNS 5097 - 5097 NUMERIC Rand.K3/4f RANDOMIZATION Position of Honest in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Honest is K3f and K4f]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960802 COLUMNS 5098 - 5098 NUMERIC Rand.K3/4g RANDOMIZATION Position of Gets Things Done in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Gets Things Done is K3g and K4g]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR M960803 COLUMNS 5099 - 5099 NUMERIC Rand.L1b RANDOMIZATION Position of Clinton in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ----------------------------------------------------------- See L1b-L1d in Pre survey vars [Clinton is L1b]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960804 COLUMNS 5100 - 5100 NUMERIC Rand.L1c RANDOMIZATION Position of Dole in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ----------------------------------------------------------- See L1b-L1d in Pre survey vars [Dole is L1c]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960805 COLUMNS 5101 - 5101 NUMERIC Rand.L1d RANDOMIZATION Position of Perot in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ----------------------------------------------------------- See L1b-L1d in Pre survey vars [Perot is L1d]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960806 COLUMNS 5102 - 5102 NUMERIC Rand.L1e RANDOMIZATION Position of Democratic House candidate in Pre questions L1e-L1f [House Candidates, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Democratic House Candidate is L1e]. House candidate placements follow the 3 Presidential candidate placements (L1b-L1d) and precede the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC; 0,8,9 in L1a; R did not recognize name (997 in D1g) ============================== VAR M960807 COLUMNS 5103 - 5103 NUMERIC Rand.L1f RANDOMIZATION Position of Republican House candidate in Pre questions L1e-L1f [House Candidates, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Republican House Candidate is L1f]. House candidate placements follow the 3 Presidential candidate placements (L1b-L1d) and precede the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC; 0,8,9 in L1a; R did not recognize name (997 in D1h) ============================== VAR M960808 COLUMNS 5104 - 5104 NUMERIC Rand.L1g RANDOMIZATION Position of Democratic Party in Pre questions L1g-L1h [Major parties, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Democratic party is L1g] Major party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960809 COLUMNS 5105 - 5105 NUMERIC Rand.L1h RANDOMIZATION Position of Republican Party in Pre questions L1g-L1h [Major parties, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Republican party is L1h] Major party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960810 COLUMNS 5106 - 5106 NUMERIC Rand.L2b RANDOMIZATION Position of Clinton in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ----------------------------------------------------------- See L2b-L2d in Pre survey vars [Clinton is L2b] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960811 COLUMNS 5107 - 5107 NUMERIC Rand.L2c RANDOMIZATION Position of Dole in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ----------------------------------------------------------- See L2b-L2d in Pre survey vars [Dole is L2c] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960812 COLUMNS 5108 - 5108 NUMERIC Rand.L2d RANDOMIZATION Position of Perot in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ----------------------------------------------------------- See L2b-L2d in Pre survey vars [Perot is L2d] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR M960813 COLUMNS 5109 - 5109 NUMERIC Rand.L2e RANDOMIZATION Position of Democratic House candidate in Pre questions L2f-L2e [House candidates, Defense Spending scale] ----------------------------------------------------------- See L2e-L2f in Pre survey vars [Democratic House candidate is L2e]. House candidate placements follow the 3 Presidential candidate placements (L2b-L2d) and precede the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC ============================== VAR M960814 COLUMNS 5110 - 5110 NUMERIC Rand.L2f RANDOMIZATION Position of Republican House candidate in Pre questions L2f-L2e [House candidates, Defense Spending scale] ----------------------------------------------------------- See L2e-L2f in Pre survey vars [Republican House candidate is L2f]. House candidate placements follow the 3 Presidential candidate placements (L2b-L2d) and precede the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC ============================== VAR M960815 COLUMNS 5111 - 5111 NUMERIC Rand.L2g RANDOMIZATION Position of Democratic Party in Pre questions L2g-L2h [Major parties, Defense Spending scale] ----------------------------------------------------------- See L2g-L2h in Pre survey vars [Democratic party is L2g]. Major Party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR M960816 COLUMNS 5112 - 5112 NUMERIC Rand.L2h RANDOMIZATION Position of Republican Party in Pre questions L2g-L2h [Major parties, Defense Spending scale] ----------------------------------------------------------- See L2g-L2h in Pre survey vars [Republican party is L2h]. Major Party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR M960817 COLUMNS 5113 - 5113 NUMERIC Rand.L3b RANDOMIZATION Position of Clinton in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ----------------------------------------------------------- See L3b-L3d in Pre survey vars [Clinton is L3b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960818 COLUMNS 5114 - 5114 NUMERIC Rand.L3c RANDOMIZATION Position of Dole in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ----------------------------------------------------------- See L3b-L3d in Pre survey vars [Dole is L3c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960819 COLUMNS 5115 - 5115 NUMERIC Rand.L3d RANDOMIZATION Position of Perot in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ----------------------------------------------------------- See L3b-L3d in Pre survey vars [Perot is L3d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR M960820 COLUMNS 5116 - 5116 NUMERIC Rand.L4b RANDOMIZATION Position of Clinton in Pre questions L4b-L4d [Presidential candidates, Government Guranteed Job/Standard of Living] ----------------------------------------------------------- See L4b-L4d in Pre survey vars [Clinton is L4b] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960821 COLUMNS 5117 - 5117 NUMERIC Rand.L4c RANDOMIZATION Position of Dole in Pre questions L4b-L4d [Presidential candidates, Government Guranteed Job/Standard of Living] ----------------------------------------------------------- See L4b-L4d in Pre survey vars [Dole is L4c] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960822 COLUMNS 5118 - 5118 NUMERIC Rand.L4d RANDOMIZATION Position of Perot in Pre questions L4b-L4d [Presidential candidates, Government Guranteed Job/Standard of Living] ----------------------------------------------------------- See L4b-L4d in Pre survey vars [Perot is L4d] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR M960823 COLUMNS 5119 - 5119 NUMERIC Rand.L5b RANDOMIZATION Position of Clinton in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ----------------------------------------------------------- See L5b-L5d in Pre survey vars [Clinton is Lb] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960824 COLUMNS 5120 - 5120 NUMERIC Rand.L5c RANDOMIZATION Position of Dole in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ----------------------------------------------------------- See L5b-L5d in Pre survey vars [Dole is Lc] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960825 COLUMNS 5121 - 5121 NUMERIC Rand.L6a RANDOMIZATION Position of Perot in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ----------------------------------------------------------- See L5b-L5d in Pre survey vars [Perot is Ld] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960826 COLUMNS 5122 - 5122 NUMERIC Rand.L6b RANDOMIZATION Position of Food Stamps in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Food Stamps is L6a]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960827 COLUMNS 5123 - 5123 NUMERIC Rand.L6c RANDOMIZATION Position of Welfare Programs in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Welfare Programs is L6b]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960828 COLUMNS 5124 - 5124 NUMERIC Rand.L6d RANDOMIZATION Position of AIDS Research in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [AIDS Research is L6c]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960829 COLUMNS 5125 - 5125 NUMERIC Rand.L6e RANDOMIZATION Position of Foreign Aid in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Foreign Aid is L6d]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960830 COLUMNS 5126 - 5126 NUMERIC Rand.L6f RANDOMIZATION Position of Financial Aid to College Students in Pre questions L6a- L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Financial Aid to College Students is L6e]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960831 COLUMNS 5127 - 5127 NUMERIC Rand.L6g RANDOMIZATION Position of Assistance to the Homeless in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Assistance to the Homeless is L6f]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960832 COLUMNS 5128 - 5128 NUMERIC Rand.L6h RANDOMIZATION Position of Preventing Illegal Immigration in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Preventing Illegal Immigration is L6g]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR M960833 COLUMNS 5129 - 5129 NUMERIC Rand.M1b RANDOMIZATION Position of Clinton in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ----------------------------------------------------------- See M1b-M1d in Pre survey vars [Clinton is M1b]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960834 COLUMNS 5130 - 5130 NUMERIC Rand.M1c RANDOMIZATION Position of Dole in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ----------------------------------------------------------- See M1b-M1d in survey vars [Dole is M1c]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR M960835 COLUMNS 5131 - 5131 NUMERIC Rand.M1d RANDOMIZATION Position of Perot in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ----------------------------------------------------------- See M1b-M1d in Pre survey vars [Perot is M1d]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR M960836 COLUMNS 5132 - 5132 NUMERIC Rand.M1e RANDOMIZATION Position of Democratic House candidate in Pre questions M1e-M1f [House candidates, Abortion scale] ----------------------------------------------------------- See M1e-M1f in Pre survey vars [Democratic House candidate is M1e]. House candidate placements follow the 3 Presidential candidate placements (M1b-M1d) and precede the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) and: 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC; 8,9 in M1a; R did not recognize name (997 in D1g) ============================== VAR M960837 COLUMNS 5133 - 5133 NUMERIC Rand.M1f RANDOMIZATION Position of Republican House candidate in Pre questions M1e-M1f [House candidates, Abortion scale] ----------------------------------------------------------- See M1e-M1f in Pre survey vars [Republican House candidate is M1f]. House candidate placements follow the 3 Presidential candidate placements (M1b-M1d) and precede the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) and: 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC; 8,9 in M1a; R did not recognize name (997 in D1h) ============================== VAR M960838 COLUMNS 5134 - 5134 NUMERIC Rand.M1g RANDOMIZATION Position of Democratic Party in Pre questions M1g-M1h [Major parties, Abortion scale] ----------------------------------------------------------- See M1g-M1h in Pre survey vars [Democratic Party is M1g]. Major Party placements follow the 3 Presidential candidate placements (M1b-M1d) and the 2 House candidate placements (M1e-M1f), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR M960839 COLUMNS 5135 - 5135 NUMERIC Rand.M1h RANDOMIZATION Position of Republican Party in Pre questions M1g-M1h [Major parties, Abortion scale] ----------------------------------------------------------- See M1g-M1h in Pre survey vars [Republican Party is M1h]. Major Party placements follow the 3 Presidential candidate placements (M1b-M1d) and the 2 House candidate placements (M1e-M1f), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR M960840 COLUMNS 5136 - 5136 NUMERIC Rand.M2b RANDOMIZATION Position of Clinton in Pre questions M2b-M2d [Presidential candidates, Crime scale] ----------------------------------------------------------- See M2b-M2d in Pre survey vars [Clinton is M2b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960841 COLUMNS 5137 - 5137 NUMERIC Rand.M2c RANDOMIZATION Position of Dole in Pre questions M2b-M2d [Presidential candidates, Crime scale] ----------------------------------------------------------- See M2b-M2d in Pre survey vars [Dole is M2c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960842 COLUMNS 5138 - 5138 NUMERIC Rand.M2d RANDOMIZATION Position of Perot in Pre questions M2b-M2d [Presidential candidates, Crime scale] ----------------------------------------------------------- See M2b-M2d in Pre survey vars [Perot is M2d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960843 COLUMNS 5139 - 5139 NUMERIC Rand.M3b RANDOMIZATION Position of Clinton in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ----------------------------------------------------------- See M3b-M3d in Pre survey vars [Clinton is M3b]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960844 COLUMNS 5140 - 5140 NUMERIC Rand.M3c RANDOMIZATION Position of Dole in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ----------------------------------------------------------- See M3b-M3d in Pre survey vars [Dole is M3c]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960845 COLUMNS 5141 - 5141 NUMERIC Rand.M3d RANDOMIZATION Position of Perot in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ----------------------------------------------------------- See M3b-M3d in Pre survey vars [Perot is M3d]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960846 COLUMNS 5142 - 5142 NUMERIC Rand.M3e RANDOMIZATION Position of Democratic Party in Pre questions M3e-M3f [Major parties, Jobs/Environment scale] ----------------------------------------------------------- See M3e-M3f in Pre survey vars [Democratic Party is M3e]. Major Party placements follow Presidential candidate placements (M3b-M3d), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960847 COLUMNS 5143 - 5143 NUMERIC Rand.M3f RANDOMIZATION Position of Republican Party in Pre questions M3e-M3f [Major parties, Jobs/Environment scale] ----------------------------------------------------------- See M3e-M3f in Pre survey vars [Republican Party is M3f]. Major Party placements follow Presidential candidate placements (M3b-M3d), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960848 COLUMNS 5144 - 5144 NUMERIC Rand.M4b RANDOMIZATION Position of Clinton in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ----------------------------------------------------------- See M4b-M4d in Pre survey vars [Clinton is M4b]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b- M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960849 COLUMNS 5145 - 5145 NUMERIC Rand.M4c RANDOMIZATION Position of Dole in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ----------------------------------------------------------- See M4b-M4d in Pre survey vars [Dole is M4c]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b- M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960850 COLUMNS 5146 - 5146 NUMERIC Rand.M4d RANDOMIZATION Position of Perot in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ----------------------------------------------------------- See M4b-M4d in Pre survey vars [Perot is M4d]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b- M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960851 COLUMNS 5147 - 5147 NUMERIC Rand.M4e RANDOMIZATION Position of Democratic party in Pre questions M4e-M4f [Major parties, Environmental Regulation scale] ----------------------------------------------------------- See M4e-M4f in Pre survey vars [Democratic Party is M4e]. Major Party placements follow Presidential candidate placements (M4b-M4d), and are randomized separately from them. In reference to the entire set of administered Environmental Regulation placements affected by randomization (M4b-M4f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960852 COLUMNS 5148 - 5148 NUMERIC Rand.M4f RANDOMIZATION Position of Republican party in Pre questions M4e-M4f [Major parties, Environmental Regulation scale] ----------------------------------------------------------- See M4e-M4f in Pre survey vars [Republican Party is M4f]. Major Party placements follow Presidential candidate placements (M4b-M4d), and are randomized separately from them. In reference to the entire set of administered Environmental Regulation placements affected by randomization (M4b-M4f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR M960853 COLUMNS 5149 - 5149 NUMERIC Rand.N1b RANDOMIZATION Position of Clinton in Pre questions N1b-N1d [Presidential candidates, Women's Role] ----------------------------------------------------------- See N1b-N1d in Pre survey vars [Clinton is N1b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960854 COLUMNS 5150 - 5150 NUMERIC Rand.N1c RANDOMIZATION Position of Dole in Pre questions N1b-N1d [Presidential candidates, Women's Role] ----------------------------------------------------------- See N1b-N1d in Pre survey vars [Dole is N1c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960855 COLUMNS 5151 - 5151 NUMERIC Rand.N1d RANDOMIZATION Position of Perot in Pre questions N1b-N1d [Presidential candidates, Women's Role] ----------------------------------------------------------- See N1b-N1d in Pre survey vars [Perot is N1d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR M960856 COLUMNS 5152 - 5152 NUMERIC Rand.N3a RANDOMIZATION Order of Presidential candidate names read in text of Pre question N3a [Who would R most like to see elected] ----------------------------------------------------------- See N3a in Pre survey vars. For each respondent, order of the 3 major Presidential candidates (Clinton, Dole, Perot) was randomized in the text of the question N3a. 1. Clinton, Dole, Perot 2. Dole, Perot, Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA ============================== VAR M960857 COLUMNS 5153 - 5153 NUMERIC Rand.N5a RANDOMIZATION Position of Social Security Benefits in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Social Security Benefits is N5a]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR M960858 COLUMNS 5154 - 5154 NUMERIC Rand.N5b RANDOMIZATION Position of Improve and Protect the Environment in Pre questions N5a- N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Improve and Protect the Environment is N5b]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR M960859 COLUMNS 5155 - 5155 NUMERIC Rand.N5c RANDOMIZATION Position of Public Schools in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Public School is N5c]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR M960860 COLUMNS 5156 - 5156 NUMERIC Rand.N5d RANDOMIZATION Position of Dealing with Crime in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Dealing with Crime is N5d]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR M960861 COLUMNS 5157 - 5157 NUMERIC Rand.N5e RANDOMIZATION Position of Child Care in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Child Care is N5e]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR M960862 COLUMNS 5158 - 5158 NUMERIC Rand.N5f RANDOMIZATION Position of Poor People in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Poor People is N5f]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR M960900 COLUMNS 5159 - 5162 NUMERIC Process.14 1996 Post ID ----------------------------------------------------------- Interviews range from 1001 to 2535 (Panel and Cross cases are not in separate series). There is a gap in the interview numbering at 2444. Cases in the range 4001-4187 are Post noninterviews or Pre only in 1996 (gaps at 4042, 4054, 4075, 4146, 4147, 4173, 4186). ============================== VAR M960901 COLUMNS 5163 - 5163 NUMERIC Admin.26 Post question 'form' variable ----------------------------------------------------------- This variable compares with the 'Form' variable of previous (non-CAPI) studies and describes the format of (questions included in) the instrument. The set of questions F1-F4 and the set of questions H1-H1a were each administered to a random half-sample of respondents. Half-samples were also randomly selected for administration of either the series D30-D30g or the series S30-S30g (identical questions administered in different locations within the Post instrument). BOTH F1-F4 AND H1-H1a: 1. R administered F1-F4, H1-H1a and D30 2. R administered F1-F4, H1-H1a and S30 F1-F4 ONLY: 3. R administered F1-F4 and D30 (not administered H1-H1a) 4. R administered F1-F4 and S30 (not administered H1-H1a) H1-H1a ONLY: 5. R administered H1-H1a and D30 (not administered F1-F4) 6. R administered H1-H1a and S30 (not administered F1-F4) NEITHER F1-F4 NOR H1-H1a: 7. R administered D30 (not administered F1- F4 or H1-H1a) 8. R administered S30 (not administered F1- F4 or H1-H1a) 0. Inap, no Post IW ============================== VAR M960902 COLUMNS 5164 - 5165 NUMERIC Admin.28 POST-ELECTION Day of interview ----------------------------------------------------------- Day of interiew 1-31 coded, except: 00. Inap, no Post IW ============================== VAR M960903 COLUMNS 5166 - 5167 NUMERIC Admin.29 POST ELECTION Month of interview ----------------------------------------------------------- 11. November 12. December 01. January 99. NA 00. Inap, no Post IW ============================== VAR M960904 COLUMNS 5168 - 5169 NUMERIC Admin.30 POST-ELECTION - Number of days since Election Day ----------------------------------------------------------- This variable is based on the date of interview. It counts the number of days after the election day (November 5, 1996). 99. NA 00. Inap, no Post IW ============================== VAR M960905 COLUMNS 5170 - 5173 NUMERIC Admin.31 POST-ELECTION Beginning time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA 0000. Inap, no Post IW ============================== VAR M960906 COLUMNS 5174 - 5177 NUMERIC Admin.32 POST-ELECTION Ending time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA 0000. Inap, no Post IW ============================== VAR M960907 COLUMNS 5178 - 5180 NUMERIC Admin.33 POST-ELECTION Interview length in minutes ----------------------------------------------------------- The actual number of minutes is coded, except: 999.0. NA 000.0. Inap, no post IW ============================== VAR M960908 COLUMNS 5181 - 5182 NUMERIC Admin.34 POST-ELECTION Interview number ----------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: 99. NA 00. Inap, no Post IW ============================== VAR M960909 COLUMNS 5183 - 5183 NUMERIC Admin.35 POST-ELECTION Date of Beginning VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. In 39 cases, the early training VQ was used in error. The significant effects of this error were the following 1) absence of randomization 2) D11x instruction changed from "SHOW BALLOT CARD" to "DO NOT SHOW BALLOT CARD" 3) questions F3 and F4 skipped. In the Pre and Post randomization variables, the unrandomized order in which the questions were administered is coded for these cases, and the half-sample checkpoints identify the (unrandomized) selection or non-selection of these 39 cases for question series. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. 1. 10/14/96 2. 10/30/96 3. 11/11/96 4. 11/14/96 9. NA 0. Inap, no Post IW ============================== VAR M960910 COLUMNS 5184 - 5184 NUMERIC Admin.36 POST-ELECTION Date of Ending VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview ended. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. 1. 10/14/96 2. 10/30/96 3. 11/11/96 4. 11/14/96 9. NA 0. Inap, no Post IW ============================== VAR M960911 COLUMNS 5185 - 5186 NUMERIC Admin.37 POST-ELECTION - Payment amount ----------------------------------------------------------- All Pre respondents were sent a check for $10.00 and a gift (message board), together with the contact letter requesting a Post interview. Note that even no-post cases (0 Inap in this variable) were sent the payment and gift. 10. $10 Respondent payment 00. Inap, no Post IW ============================== VAR M960912 COLUMNS 5187 - 5187 NUMERIC Admin.38 POST-ELECTION - Was interview tape recorded ----------------------------------------------------------- 1. Yes 5. No 9. NA 0. Inap, no Post IW ============================== VAR M960913 COLUMNS 5188 - 5188 NUMERIC Admin.39 POST-ELECTION - Verification indicator ----------------------------------------------------------- 0. Not flagged for verification 1. Flagged for verification 2. Verified 3. Verified with discrepancy 4. Not verified 5. Unable to verify 9. Inap, no Post IW ============================== VAR M960914 COLUMNS 5189 - 5189 NUMERIC Admin.40 POST-ELECTION - Evaluation indicator ----------------------------------------------------------- 0. Interview not evaluated 1. Interview evaluated by supervisor 2. Interview evaluated by team leader 9. Inap, no Post IW ============================== VAR M960915 COLUMNS 5190 - 5190 NUMERIC Admin.41 POST-ELECTION - Refusal conversion indicator ----------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. 1. Refusal conversion attempted 5. Not a refusal conversion situation 9. NA 0. Inap, no Post IW ============================== VAR M960916 COLUMNS 5191 - 5191 NUMERIC Admin.42 POST-ELECTION - Was persuasion letter sent? ----------------------------------------------------------- One form of general persuasion letter was sent to all respondents. 1. Persuasion letter was sent to R 5. No persuasion letter was sent to R 9. NA 0. Inap, no Post IW ============================== VAR M960917 COLUMNS 5192 - 5193 NUMERIC Admin.43 POST-ELECTION - Number of telephone calls ----------------------------------------------------------- Number of calls is coded, except: 96. Inap, no Post IW 99. NA ============================== VAR M960918 COLUMNS 5194 - 5195 NUMERIC Admin.44 POST-ELECTION - Number of face to face calls ----------------------------------------------------------- Number of calls is coded, except: 96. Inap, no Post IW 99. NA ============================== VAR M960919 COLUMNS 5196 - 5197 NUMERIC Admin.45 POST-ELECTION - Total number of calls (Phone + FtF) ----------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the"number of calls" variable in past studies. Number of calls coded, except: 99. NA 00. Inap, no Post IW ============================== VAR M960920 COLUMNS 5198 - 5199 NUMERIC Admin.46 POST-ELECTION - Final result code ----------------------------------------------------------- 1. Interview, complete 5. Interview, partial 51. Noninterview: refusal by R 52. Noninterview: refusal by someone other than R 61. Noninterview: no contact 63. Noninterview: permanent condition 67. Noninterview: other reason ============================== VAR M960921 COLUMNS 5200 - 5200 NUMERIC Admin.47 POST-ELECTION - Beginning mode, personal or telephone ----------------------------------------------------------- This is the mode when interview began 1. Personal 4. Telephone 0. Inap, no Post IW ============================== VAR M960922 COLUMNS 5201 - 5201 NUMERIC Admin.48 SUMMARY - POST MODE ASSIGNMENT AND ADMINISTRATION ----------------------------------------------------------- Post mode in this variable refers to beginning mode (question Admin.47). 1. Assigned to personal, administered as personal IW 2. Assigned to personal, administered as telephone IW 3. Assigned to telephone, administered as personal IW 4. Assigned to telephone, administered as telephone IW 0. Inap, no Post IW ============================== VAR M960923 COLUMNS 5202 - 5202 NUMERIC Admin.49 POST-ELECTION - Ending mode, personal or telephone ----------------------------------------------------------- This is the mode when interview ended. 1. Personal 4. Telephone 9. NA 0. Inap, no Post IW ============================== VAR M960924 COLUMNS 5203 - 5203 NUMERIC CSheet.25. POST-ELECTION COVERSHEET, CS Item 1. Does R still live at the address on sample label ----------------------------------------------------------- 1. Yes 5. No 9. NA 0. Inap, no Post IW ============================== VAR M960925 COLUMNS 5204 - 5204 NUMERIC CSheet.26. POST-ELECTION COVERSHEET,CS Item 4. I need to verify that your full name is [Name of Respondent]. I also need to verify that you were born on [Birth month and year]. R NAME, BIRTH, AND GENDER ARE: ----------------------------------------------------------- 1. Identical to Sample Label 5. Not identical 9. NA 0. Inap, no Post IW ============================== VAR M960926 COLUMNS 5205 - 5205 NUMERIC CSheet.27. POST-ELECTION COVERSHEET, CS Item 5. Describe the type of structure in which the respondent lives ----------------------------------------------------------- Note that in some telephone cases the interviewer was still able to make this observation during the calls made. 1. Mobile home 2. Detached single family 3. Multi-family 4. Apartment house 5. Condo complex 7. Other (specify) 8. DK 9. NA, Inap, no Post IW 0. Phone case and no observation made ============================== VAR M960927 COLUMNS 5206 - 5206 NUMERIC CSheet.28. POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6c. Did R refuse initially? ----------------------------------------------------------- An error in the skip logic was printed on Post paper coversheets, and in many interview cases items 6c and 6d were not completed by the interviewer. An attempt was made to recover information by reviewing call record information for cases which were missing data in these 2 variables. 1. Yes 5. No 9. NA 0. Inap, no Post IW ============================== VAR M960928 COLUMNS 5207 - 5207 NUMERIC CSheet.29 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6d. Did R break any appointment? ----------------------------------------------------------- An error in the skip logic was printed on Post paper coversheets, and in many interview cases items CD3c and CD3d were not completed by the interviewer. An attempt was made to recover information by reviewing call record information for cases which were missing data in these 2 variables. 0. None 1. One 2. Two or more 9. NA; Inap, no Post IW ============================== VAR M960929 COLUMNS 5208 - 5208 NUMERIC CSheet.30 IF R HAS MADE CONTACT WITH SOMEONE AT THE HOUSHOLD UNIT/ PHONE NUMBER: POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6a. Was there resistance from this person? ----------------------------------------------------------- This question can refer to resistance from anyone contacted at the HU. 1. Yes 5. No 9. NA 0. Inap, no Post IW ============================== VAR M960930 COLUMNS 5209 - 5209 NUMERIC CSheet.31 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960931 COLUMNS 5210 - 5210 NUMERIC CSheet.32 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960932 COLUMNS 5211 - 5211 NUMERIC CSheet.33 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960933 COLUMNS 5212 - 5212 NUMERIC CSheet.34 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960934 COLUMNS 5213 - 5213 NUMERIC CSheet.35 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap,no Post IW ============================== VAR M960935 COLUMNS 5214 - 5214 NUMERIC CSheet.36 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960936 COLUMNS 5215 - 5215 NUMERIC CSheet.37 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(7). If there was any resistance from the R, what reasons were given: . . . (G) No reason given ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960937 COLUMNS 5216 - 5216 NUMERIC CSheet.38 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) ----------------------------------------------------------- 1. Marked 5. Not marked 9. NA 0. Inap, no Post IW ============================== VAR M960938 COLUMNS 5217 - 5218 NUMERIC CSheet.39 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z1. Other persons present at the interview were (CHECK ALL THAT APPLY): ----------------------------------------------------------- 1. No one (NO OTHER BOX CHECKED) 2. Children under 6 only 3. Older children only 4. Children under 6 and older chldren 5. Spouse only 6. Spouse and children under 6 7. Spouse and older children 8. Spouse, children under 6, older children 9. Other relatives only 10. Other relatives and children under 6 11. Other relatives and older children 12. Other relatives, children under 6, older children 13. Other relatives and spouse 14. Other relatives, spouse, children under 6 15. Other relatives, spouse, older children 16. Other relatives, spouse, children under 6, older children 17. Other adults only 18. Other adults and children under 6 19. Other adults and older children 20. Other adults, children under 6, older children 21. Other adults and spouse 22. Other adults, spouse, children under 6 23. Other adults, spouse, older children 24. Other adults, spouse, children under 6, older children 25. Other adults and other relatives 26. Other adults, other relatives, children under 6 27. Other adults, other relatives, older children 28. Other adults, other relatives, children under 6, older children 29. Other adults, other relatives, spouse 30. Other adults, other relatives, spouse, children under 6 31. Other adults, other relatives, spouse, older children 32. Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) 99. NA 00. Inap, no Post IW ============================== VAR M960939 COLUMNS 5219 - 5219 NUMERIC CSheet.40 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z2. R's cooperation was: ----------------------------------------------------------- 1. Very good 2. Good 3. Fair 4. Poor 5. Very poor 9. NA 0. Inap, no Post IW ============================== VAR M960940 COLUMNS 5220 - 5220 NUMERIC CSheet.41 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z3. R's general level of information about politics and public affairs seemed: ----------------------------------------------------------- 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low 9. NA 0. Inap, no Post IW ============================== VAR M960941 COLUMNS 5221 - 5221 NUMERIC CSheet.42 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z4. Rate R's apparent intelligence: ----------------------------------------------------------- 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low 9. NA 0. Inap, no Post IW ============================== VAR M960942 COLUMNS 5222 - 5222 NUMERIC CSheet.43 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z5. How suspicious did R seem to be about the study, before the interview? ----------------------------------------------------------- 1. Not at all suspicious 3. Somewhat suspicious 5. Very suspicious 9. NA 0. Inap, no Post IW ============================== VAR M960943 COLUMNS 5223 - 5223 NUMERIC CSheet.44 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z6. Overall, how great was R's interest in the interview? ----------------------------------------------------------- 1. Very high 2. Above average 3. Average 4. Below average 5. Very low 9. NA 0. Inap, no Post IW ============================== VAR M960944 COLUMNS 5224 - 5224 NUMERIC CSheet.45 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z7. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------- 1. Completely sincere 2. Usually sincere 3. Often seemed to be insincere 9. NA 0. Inap, no Post IW ============================== VAR M960945 COLUMNS 5225 - 5226 NUMERIC CSheet.46 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <1st mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 80. Neutral or no feedback (1st mention only) 99. NA 00. Inap, no Post IW ============================== VAR M960946 COLUMNS 5227 - 5228 NUMERIC CSheet.47 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <2nd mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960947 COLUMNS 5229 - 5230 NUMERIC CSheet.48 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <3rd mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960948 COLUMNS 5231 - 5232 NUMERIC CSheet.49 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <4th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960949 COLUMNS 5233 - 5234 NUMERIC CSheet.50 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <5th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960950 COLUMNS 5235 - 5236 NUMERIC CSheet.51 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <6th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960951 COLUMNS 5237 - 5238 NUMERIC CSheet.52 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <7th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960952 COLUMNS 5239 - 5240 NUMERIC CSheet.53 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <8th mention> ----------------------------------------------------------- Note that 8 was the maximum number of reactions recorded by Post interviewers. 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR M960953 COLUMNS 5241 - 5244 NUMERIC IWR.10 Post Interviewer of record ID ----------------------------------------------------------- Interviewer's 4-digit ID and: 9999. NA 0000. Inap, no post IW ============================== VAR M960954 COLUMNS 5245 - 5248 NUMERIC IWR.13 Post Supervisor ID ----------------------------------------------------------- Field Supervisor's 4-digit ID and: 9999. NA 0000. Inap, no post IW ============================== VAR M960955 COLUMNS 5249 - 5249 NUMERIC IWR.14 Post Interviewer gender ----------------------------------------------------------- 1. Male 2. Female 9. NA 0. Inap, no post IW ============================== VAR M960956 COLUMNS 5250 - 5250 NUMERIC IWR.15 Post Interviewer education ----------------------------------------------------------- 1. 1-8 grades 2. Some high school 3. High school graduate 4. Some college 5. College degree 6. Master's degree 7. PhD 9. NA 0. Inap, no post IW ============================== VAR M960957 COLUMNS 5251 - 5251 NUMERIC IWR.16 Post Interviewer race ----------------------------------------------------------- 1. White 2. Black 3. Native American 4. Asian 7. Other 9. NA 0. Inap, no post IW ============================== VAR M960958 COLUMNS 5252 - 5252 NUMERIC IWR.17 Post Interviewer ethnicicty ----------------------------------------------------------- 0. No ethnic identity coded 1. Hispanic 7. Other 9. NA; Inap, no Post IW ============================== VAR M960959 COLUMNS 5253 - 5253 NUMERIC IWR.18 Post Interviewer languages ----------------------------------------------------------- 0. English (only) 1. Spanish 7. Other 9. NA; Inap, no Post IW ============================== VAR M960960 COLUMNS 5254 - 5255 NUMERIC IWR.19 Post Interviewer experience ----------------------------------------------------------- Interviewer's years of experience, and: 99. NA; no Post IW ============================== VAR M960961 COLUMNS 5256 - 5256 NUMERIC IWR.20 Post interviewer age (bracketed) ----------------------------------------------------------- 1. 18-34 years 2. 35-40 years 3. 41-45 years 4. 46-50 years 5. 51-55 years 6. 56-60 years 7. 61-64 years 8. 65-79 years 9. NA 0. Inap, no post IW ============================== VAR M961001 COLUMNS 5257 - 5257 NUMERIC A1 Some people don't pay much attention to political campaigns. How about you? Would you say that you were VERY MUCH INTERESTED, SOMEWHAT INTERESTED, or NOT MUCH INTERESTED in following the political campaigns this year? ----------------------------------------------------------- 1. Very much interested 3. Somewhat interested 5. Not much interested 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961002 COLUMNS 5258 - 5258 NUMERIC A2 Did you watch any programs about the campaign on television? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961003 COLUMNS 5259 - 5259 NUMERIC A2a IF R WATCHED PROGRAMS ABOUT THE CAMPAIGNS ON TV: Would you say you watched A GOOD MANY, SEVERAL, or JUST ONE OR TWO? ----------------------------------------------------------- 1. A good many 3. Several 5. Just one or two 8. DK 9. NA 0. Inap, 5,8,9 in A2; no post IW ============================== VAR M961004 COLUMNS 5260 - 5260 NUMERIC A3 Do you ever discuss politics with your family or friends? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961005 COLUMNS 5261 - 5261 NUMERIC A3a IF R DISCUSSES POLITICS WITH FAMILY OR FRIENDS: How many days in the past week did you talk about politics with family or friends? ----------------------------------------------------------- 0. None 1. One day 2. Two days 3. Three days 4. Four days 5. Five days 6. Six days 7. Every day 8. DK 9. NA; Inap, 5,8,9 in A3; no post IW ============================== VAR M961006 COLUMNS 5262 - 5262 NUMERIC A4 Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who ran in the November election from this district? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961007 COLUMNS 5263 - 5264 NUMERIC A4a(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: "Any others?"] 1ST RECALLED NAME ----------------------------------------------------------- 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name given not on candidate list for this race 98. DK 99. NA 00. Inap, 5,8,9 in A4; no post IW; Washington DC ============================== VAR M961008 COLUMNS 5265 - 5265 NUMERIC A4b(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. 1. Democrat 2. Republican 7. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in A4; no post IW ============================== VAR M961009 COLUMNS 5266 - 5266 NUMERIC A4c(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 1ST RECALLED CANDIDATE ----------------------------------------------------------- Built from A4a(1). 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on candidate list (97) 8. DK (98) 9. NA (99) 0. Inap, 5,8,9 in A4; no post IW ============================== VAR M961010 COLUMNS 5267 - 5267 NUMERIC A4x(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 1ST RECALL ACCURACY ----------------------------------------------------------- Built from A4a(1), A4b(1). 1. Valid candidate name given and correct party associated with name 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) - any party mention 7. No candidate name given (DK), DK or NA for party mention (first mention only) No candidate name mentioned (NA), DK for party mention (first mention only) 9. NA for candidate name and NA for party mention 0. Inap, 5,8,9 in A4; no post IW ============================== VAR M961011 COLUMNS 5268 - 5269 NUMERIC A4a(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] 2ND RECALLED NAME ----------------------------------------------------------- 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name given not on candidate list for this race 98. DK 99. NA 00. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961012 COLUMNS 5270 - 5270 NUMERIC A4b(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What was [NAME'S] party? RECALLED PARTY OF 2ND RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. 1. Democrat 2. Republican 7. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961013 COLUMNS 5271 - 5271 NUMERIC A4c(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 2ND RECALLED CANDIDATE ----------------------------------------------------------- Built from A4a(2). 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on candidate list (97) 8. DK (98) 9. NA (99) 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961014 COLUMNS 5272 - 5272 NUMERIC A4x(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 2ND RECALL ACCURACY ----------------------------------------------------------- Built from A4a(2), A4b(2). 1. Valid candidate name given and correct party associated with name 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) - any party mention 9. NA for candidate name and NA for party mention 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961015 COLUMNS 5273 - 5274 NUMERIC A4a(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] 3RD RECALLED NAME ----------------------------------------------------------- 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 97. Name given not on candidate list for this race 98. DK 99. NA 00. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961016 COLUMNS 5275 - 5275 NUMERIC A4b(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What was [NAME'S] party? RECALLED PARTY OF 3RD RECALLED CANDIDATE ----------------------------------------------------------- 1. Democrat 2. Republican 7. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961017 COLUMNS 5276 - 5276 NUMERIC A4c(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 3RD RECALLED CANDIDATE ----------------------------------------------------------- Built from A4a(3). 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on candidate list (97) 8. DK (98) 9. NA (99) 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR M961018 COLUMNS 5277 - 5277 NUMERIC A4x(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 3RD RECALL ACCURACY ----------------------------------------------------------- Built from A4a(3), A4b(3). 1. Valid candidate name given and correct party associated with name 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 4. Invalid candidate name given with any mention of party associated with name 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) - any party mention 9. NA for candidate name and NA for party mention 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== B1 Please look at page 1 of the booklet. I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward that person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particular warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. ----------------------------------------------------------- ============================== VAR M961019 COLUMNS 5278 - 5280 NUMERIC B1a [RB] (How would you rate) BILL CLINTON? BILL CLINTON THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961020 COLUMNS 5281 - 5283 NUMERIC B1b [RB] (How would you rate) BOB DOLE BOB DOLE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961021 COLUMNS 5284 - 5286 NUMERIC B1c [RB] (How would you rate) ROSS PEROT ROSS PEROT THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961022 COLUMNS 5287 - 5289 NUMERIC B1a1 [RB] (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of names House candidate names B1a1-B1b1 was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no Democratic House candidate (type race 24); Washington DC; no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961023 COLUMNS 5290 - 5292 NUMERIC B1b1 [RB] (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of names House candidate names B1a1-B1b1 was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no Republican House candidate (type race 14); Washington DC; no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961024 COLUMNS 5293 - 5295 NUMERIC B1c1 [RB] (How would you rate) [NAME #41,#42]? RETIRING HOUSE REPRESENTATIVE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Retiring House Representative was always 6th name administered (not randomized). Ratings 0-100 and: 996. Inap, no retiring House representative (type race 12,14,21,24); Washington DC; no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR M961025 COLUMNS 5296 - 5298 NUMERIC B1d [RB] (Still using the thermometer how would you rate) THE SUPREME COURT SUPREME COURT - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961026 COLUMNS 5299 - 5301 NUMERIC B1e [RB] (How would you rate) CONGRESS CONGRESS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961027 COLUMNS 5302 - 5304 NUMERIC B1f [RB] (How would you rate) THE MILITARY THE MILITARY - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961028 COLUMNS 5305 - 5307 NUMERIC B1g [RB] (How would you rate) THE FEDERAL GOVERNMENT IN WASHINGTON FEDERAL GOVERNMENT IN WASHINGTON - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961029 COLUMNS 5308 - 5310 NUMERIC B1h [RB] (How would you rate) BLACKS BLACKS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961030 COLUMNS 5311 - 5313 NUMERIC B1j [RB] (How would you rate) WHITES WHITES - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961031 COLUMNS 5314 - 5316 NUMERIC B1k [RB] (How would you rate) CONSERVATIVES CONSERVATIVES - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961032 COLUMNS 5317 - 5319 NUMERIC B1L [RB] (How would you rate) LIBERALS LIBERALS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961033 COLUMNS 5320 - 5322 NUMERIC B1m [RB] (How would you rate) LABOR UNIONS LABOR UNIONS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR M961034 COLUMNS 5323 - 5325 NUMERIC B1n [RB] (How would you rate) BIG BUSINESS BIG BUSINESS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961035 COLUMNS 5326 - 5328 NUMERIC B1p [RB] (How would you rate) POOR PEOPLE POOR PEOPLE - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961036 COLUMNS 5329 - 5331 NUMERIC B1q [RB] (How would you rate) PEOPLE ON WELFARE PEOPLE ON WELFARE - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961037 COLUMNS 5332 - 5334 NUMERIC B1r (How would you rate) HISPANICS (HISPANIC-AMERICANS) HISPANICS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961038 COLUMNS 5335 - 5337 NUMERIC B1s [RB] (How would you rate) CHRISTIAN FUNDAMENTALISTS CHRISTIAN FUNDAMENTALISTS- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961039 COLUMNS 5338 - 5340 NUMERIC B1t [RB] (How would you rate) THE WOMEN'S MOVEMENT THE WOMEN'S MOVEMENT- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961040 COLUMNS 5341 - 5343 NUMERIC B1u [RB] (How would you rate) OLDER PEOPLE (THE ELDERLY) OLDER PEOPLE- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961041 COLUMNS 5344 - 5346 NUMERIC B1v [RB] (How would you rate) ENVIRONMENTALISTS ENVIRONMENTALISTS- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961042 COLUMNS 5347 - 5349 NUMERIC B1w [RB] (How would you rate) GAY MEN AND LESBIANS, HOMOSEXUALS GAY MEN AND LESBIANS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961043 COLUMNS 5350 - 5352 NUMERIC B1x [RB] (How would you rate) THE CHRISTIAN COALITION THE CHRISTIAN COALITION - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR M961044 COLUMNS 5353 - 5353 NUMERIC C1 (Next I would like to ask you some questions about the candidates who ran in this district for the U.S. House of Representatives.) Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------- Introductory sentence precedes question text only if first name. Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Yes 5. No 7. "I don't know anything about this candidate" 8. DK 9. NA 0. Inap, no Democratic House candidate (type race 24); Washington DC; no Post IW ============================== VAR M961045 COLUMNS 5354 - 5357 NUMERIC C1a(1) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 8888. NA 0000. Inap, 5,7,8,9 in C1; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR M961046 COLUMNS 5358 - 5361 NUMERIC C1a(2) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR M961047 COLUMNS 5362 - 5365 NUMERIC C1a(3) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR M961048 COLUMNS 5366 - 5369 NUMERIC C1a(4) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR M961049 COLUMNS 5370 - 5373 NUMERIC C1a(5) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR M961050 COLUMNS 5374 - 5374 NUMERIC C2 Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Yes 5. No 8. DK 9. NA 0. Inap, 7 in C1; no Democratic House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961051 COLUMNS 5375 - 5378 NUMERIC C2a(1) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 7 in C1; 5,8,9 in C2; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR M961052 COLUMNS 5379 - 5382 NUMERIC C2a(2) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR M961053 COLUMNS 5383 - 5386 NUMERIC C2a(3) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR M961054 COLUMNS 5387 - 5390 NUMERIC C2a(4) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR M961055 COLUMNS 5391 - 5393 NUMERIC C2a(5) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR M961056 COLUMNS 5394 - 5394 NUMERIC C3 Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Yes 5. No 7. "I don't know anything about this candidate" 8. DK 9. NA; RF 0. Inap, no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961057 COLUMNS 5395 - 5398 NUMERIC C3a(1) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 0000. Inap, 5,7,8,9 in C3; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961058 COLUMNS 5399 - 5402 NUMERIC C3a(2) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961059 COLUMNS 5403 - 5406 NUMERIC C3a(3) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961060 COLUMNS 5407 - 5410 NUMERIC C3a(4) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961061 COLUMNS 5411 - 5413 NUMERIC C3a(5) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961062 COLUMNS 5414 - 5414 NUMERIC C4 Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Yes 5. No 8. DK 9. NA; RF 0. Inap, 7 in C3; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961063 COLUMNS 5415 - 5418 NUMERIC C4a(1) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 7 in C3; 5,8,9 in C4; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961064 COLUMNS 5419 - 5422 NUMERIC C4a(2) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961065 COLUMNS 5423 - 5426 NUMERIC C4a(3) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961066 COLUMNS 5427 - 5430 NUMERIC C4a(4) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961067 COLUMNS 5431 - 5434 NUMERIC C4a(5) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961068 COLUMNS 5435 - 5435 NUMERIC C5a IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates [NAME #31,#33,#35] or [NAME #32,#34,#36] was already in the U. S. House of Representatives before the election? ----------------------------------------------------------- (NOTE: PROBE IF R ANSWERS 'NO': Do you mean "neither" or "don't know"?) Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Yes, Democratic candidate was 2. Yes, Republican candidate was 3. Both [VOLUNTEERED] 5. Neither of them was 7. No, don't know; not sure 9. NA; RF 0. Inap, only one major party House candidate (type race 14 or 24) or Washington DC; no post IW ============================== VAR M961069 COLUMNS 5436 - 5437 NUMERIC C5a(1) IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2-CANDIDATE RACE) ----------------------------------------------------------- Built from C5a. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 90. Both [VOL] 00. Inap, 0,5,7,9 in C5a ============================== VAR M961070 COLUMNS 5438 - 5438 NUMERIC C5b IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if [NAME #31,33,32,34] was already in the House of Representatives before the election? ----------------------------------------------------------- (NOTE: PROBE IF R ANSWERS 'NO': Do you mean "no he wasn't" or "don't know"?) 1. Yes, candidate was 5. No, candidate was not 7. No, don't know; not sure 9. NA 0. Inap, two major party House candidates in race (type race 12,21,55 or 65) or Washington DC; no post IW ============================== VAR M961071 COLUMNS 5439 - 5440 NUMERIC C5b(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (UNOPPOSED RACE) ----------------------------------------------------------- Built from C5b. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 00. Inap, 0,5,7,9 in C5b ============================== VAR M961072 COLUMNS 5441 - 5441 NUMERIC C6 Do you happen to know which party had the most members IN THE HOUSE OF REPRESENTATIVES in Washington before the election (this/last) month? (IF NECESSARY: "Which one?") ----------------------------------------------------------- 1. The Democrats 5. The Republicans 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961073 COLUMNS 5442 - 5442 NUMERIC C7 Do you happen to know which party had the most members IN THE U.S. SENATE before the election (this/last) month? (IF NECESSARY: "Which one?") ----------------------------------------------------------- 1. The Democrats 5. The Republicans 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961074 COLUMNS 5443 - 5443 NUMERIC D1 In talking to people about elections, we often find that a lot of people were not able to vote because they weren't registered, they were sick, or they just didn't have time. How about you--did you vote in the elections this November? ----------------------------------------------------------- 1. Yes, voted 5. No, didn't vote 6. R refused to say whether voted 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961075 COLUMNS 5444 - 5444 NUMERIC D2 IF R DID NOT VOTE: Were you registered to vote in this election? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, R voted (1 in D1); no post IW ============================== VAR M961076 COLUMNS 5445 - 5445 NUMERIC D3/D3x IF R IS VOTER / IF R IS REGISTERED NONVOTER: Your residence is located in [county]. Are you registered to vote in [county]? ----------------------------------------------------------- 1. Yes, registered in county 5. No, registered in another county 8. DK 9. NA 0. Inap, R not registered (5,8,9 in D2); no post IW ============================== VAR M961077 Character COLUMNS 5446 - 5446 CHARACTER D3a IF R IS NOT REGISTERED IN COUNTY OF INTERVIEW: In what county and state are you registered? ----------------------------------------------------------- This variable has been blanked to protect the confidentiality of the respondent. ============================== VAR M961078 COLUMNS 5447 - 5447 NUMERIC D4 IF R VOTED: Did you vote on election day -- that is, November 5th 1996, or did you vote at some time before that? ----------------------------------------------------------- 1. On election day 5. Some time before 8. DK 9. NA 0. Inap, R did not vote (5,6,8,9 in D1); no post IW ============================== VAR M961079 COLUMNS 5448 - 5449 NUMERIC D4a IF R VOTED: IF R VOTED BEFORE ELECTION DAY: How long before November 5th did you vote? (PROBE: "A few days, a week, longer than that?") ----------------------------------------------------------- 1. Less than one week, 1-6 days 2. One week; 7 days 3. 1-2 weeks; 8-14 days 4. 2-3 weeks; 15-21 days 5. 3-4 weeks; 22-28 days 6. One month; 29-31 days 7. More than one month; 32-60 days 11. A few days; a couple of days; several days -- NFS 12. A few weeks; a couple of weeks; several weeks -- NFS 91. More than a few days -- NFS 92. More than a few weeks --NFS 97. Other 98. DK; not sure 99. NA 00. Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D4); no post IW ============================== VAR M961080 COLUMNS 5450 - 5450 NUMERIC D5 IF R VOTED: IF R VOTED BEFORE ELECTION DAY: Did you vote in person or by absentee ballot? ----------------------------------------------------------- 1. In person 5. By absentee 8. DK 9. NA 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D4); no post IW ============================== VAR M961081 COLUMNS 5451 - 5451 NUMERIC D7 IF R VOTED: How about the election for President? Did you vote for a candidate for PRESIDENT? ----------------------------------------------------------- 1. Yes, voted for President 5. No, didn't vote for President 8. DK 9. NA 0. Inap, R did not vote (5,6,8,9 in D1); no post IW ============================== VAR M961082 COLUMNS 5452 - 5452 NUMERIC D8 IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: Who did you vote for? ----------------------------------------------------------- 1. Bill Clinton 2. Bob Dole 3. Ross Perot 7. Other 8. Refused 9. NA 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW ============================== VAR M961083 COLUMNS 5453 - 5453 NUMERIC D8a IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: Would you say that your preference for this candidate was STRONG or NOT STRONG? ----------------------------------------------------------- 1. Strong 5. Not strong 8. DK 9. NA 0. Inap, 8,9 in D8; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW ============================== VAR M961084 COLUMNS 5454 - 5455 NUMERIC D9 IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: How long before the election did you decide that you were going to vote the way you did? ----------------------------------------------------------- 01. Knew all along/from the first; always vote for the same party; before the convention/nomination (no mention of Clinton, Dole or Perot); before the primaries; 9 months or more 02. Before the convention because of Clinton's, Dole's or Perot's candidacy; as soon as Clinton/Dole/Perot said he would run; "months before"; "early on"; "long time/quite a bit before the election" 03. At the time of the Republican convention/ when Dole was nominated; just after the Republican convention; 3 months; July; "a few months";"2-3 months" 04. During the Democratic convention when Clinton was nominated; just after the Democratic convention; 4 months; August 05. After the convention(s); during the campaign (NFS); 2 months; "a couple of months"; September 06. Five to seven weeks before the election 07. One month; three weeks; October; after the Presidential debates 08. About two weeks before the election; "ten days" 09. In the last few days of the campaign; the last part of it 10. On election day 11. During/after the primaries (not codeable in 02); "several months"; 5-8 months 12. After the vice-presidential debate 97. Other 98. DK 99. NA 00. Inap, 8,9 in D8; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW ============================== VAR M961085 COLUMNS 5456 - 5456 NUMERIC D10(1) IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: If you could have cast more than one vote in the Presidential election this (past) November, is there any other candidate you would have found acceptable and have voted for? [MENTION 1] ----------------------------------------------------------- [NOTE: IWR INSTRUCTION: DON'T TAKE THE SAME NAME TWICE.] 1. Bill Clinton 2. Bob Dole 3. Ross Perot 4. No other candidate [VOL] (1st mention only) 7. Other (specify) 8. DK 9. NA 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); 8,9 in D8; no Post IW ============================== VAR M961086 COLUMNS 5457 - 5457 NUMERIC D10(2) IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: If you could have cast more than one vote in the Presidential election this (past) November, is there any other candidate you would have found acceptable and have voted for? [MENTION 2] ----------------------------------------------------------- [NOTE: IWR INSTRUCTION: DON'T TAKE THE SAME NAME TWICE.] 1. Bill Clinton 2. Bob Dole 3. Ross Perot 7. Other (specify) 8. DK 9. NA 0. Inap, no further mention; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); 8,9 in D8; 4 in D10(1); no Post IW ============================== VAR M961087 COLUMNS 5458 - 5458 NUMERIC D11/D11x IF R VOTED: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? [DO NOT SHOW BALLOT CARD] How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? ----------------------------------------------------------- If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 1. Yes 5. No 8. DK; refused 9. NA 0. Inap, no post IW; R did not vote (5,8,9 in D1) ============================== VAR M961088 COLUMNS 5459 - 5460 NUMERIC D11a/D11xa IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? CANDIDATE CODE OF HOUSE VOTE ----------------------------------------------------------- Code 97 includes cases where R volunteered that he/she voted "a straight ticket" but no candidate for R's party ran; it also includes cases where R insists that he/she voted for a specific party's candidate but no candidate from that party ran in R's district. For Rs who voted outside of their interview location, code 97 includes candidates named by R but whose CD and party are not known. It also includes cases where R names a candidate but the name is not among names of candidates within a known 'outside' CD. 30. Third party or independent House candidate on ballot card 31. Democratic candidate - open House race 32. Republican candidate - open House race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Independent or minor party House candidate 81. Democratic candidate - open House race 82. Republican candidate - open House race 83. Democratic House incumbent 84. Republican House incumbent 85. Democratic House challenger 86. Republican House challenger 91. Democrat - no name given 92. Republican - no name given 97. Name not on candidate list for this race 98. DK; refused 99. NA 00. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in House election 5,8,9 in D11/D11x ============================== VAR M961089 COLUMNS 5461 - 5461 NUMERIC D11a(1)/D11x IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? PARTY OF HOUSE VOTE ----------------------------------------------------------- Built from D11a/D11xa. 1. Democratic candidate (31,33,35,81,83,85,91) 2. Republican candidate (32,34,36,82,84,86,92) 3. Third party/independent candidate (30,80) 7. Name given not on Candidate List for that race (97) 8. DK; refused (98) 9. NA (99) 0. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in House election 5,8,9 in D11/D11x ============================== VAR M961090 COLUMNS 5462 - 5462 NUMERIC D11xx Senate race in state of interview ----------------------------------------------------------- Code 1 includes Kansas, which had 2 Senate races (regular Senate election and a special Senate election). Code 0 includes Washington DC. 0. No race in state (AZ, CA, CT, FL, HI, IN, MD, MO, NV, NY, OH, PA, UT, WA, WI) 1. Race in state (AL, AR, CO, GA, IL, IA, KS, LA, MA, MI, MN, MS, NE, NH, NJ, NM, NC, OK, OR, SC, SD, TN, TX, VA, WV, WY) ============================== VAR M961090A COLUMNS 5463 - 5463 NUMERIC D11xx(1) Senate race in state of vote ----------------------------------------------------------- This var is coded the same as D11xx (Senate race in state of interview) for all cases where R voted in the same state as state of interview (state in question Sample.1A is not different from state of interview in question Sample.1). 0. No race in state (AZ, CA, CT, FL, HI, IN, MD, MO, NV, NY, OH, PA, UT, WA, WI) 1. Race in state (AL, AR, CO, GA, IL, IA, KS, LA, MA, MI, MN, MS, NE, NH, NJ, NM, NC, OK, OR, SC, SD, TN, TX, VA, WV, WY) ============================== VAR M961091 COLUMNS 5464 - 5464 NUMERIC D12/D12x IF R VOTED: [SHOW BALLOT CARD] (Still looking at the list of candidates) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? [DO NOT SHOW BALLOT CARD] How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? KANSAS: How about the two elections for the United States Senate? Did you vote for candidates for the U.S. Senate? ----------------------------------------------------------- Some Rs are registered in states other than that of their residence. If R is registered out of state, this variable applies to the out-of-state race (if one occurred), not to any Senate race in R's state of residence (if one occurred). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. For voters residing in Kansas who were registered in the county of their residence (first question format), an exact equivalent of this question was not asked: D12k(1a) and D12k(1b) were asked without a yes/no filter. To include KS in-county voters in this variable, if R voted for one or more candidates in D12k(1a)/D12k(1b) then this variable has been coded Yes. 1. Yes 5. No 7. R volunteers: No Senate race in state 8. DK; refused 9. NA 0. Inap, no post IW; R did not vote (5,8,9 in D1); no race in state of vote (0 in D11xx(1)) ============================== VAR M961092 COLUMNS 5465 - 5466 NUMERIC D12a/D12xa IF R LOCATION IS NOT KANSAS: IF R VOTED: Who did you vote for? CANDIDATE CODE OF SENATE VOTE ----------------------------------------------------------- For Kansas voters, data for R's vote in the regular senate election have been duplicated here; for vote in special Kansas election, see D12k(1a) and D12k(1b). There were no cases where R was not resident in Kansas but voted in Kansas (outside state of residence), so that no information was lost about the second Senate election in Kansas. 10. Third party or independent Senate candidate on Ballot card 11. Democratic candidate in open Senate race 12. Republican candidate in open Senate race 13. Democratic Senate incumbent 14. Republican Senate incumbent 15. Democratic Senate challenger 16. Republican Senate challenger CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Third party or independent Senate candidate 81. Democratic candidate in open Senate race 82. Republican candidate in open Senate race 83. Democratic Senate incumbent 84. Republican Senate incumbent 85. Democratic Senate challenger 86. Republican Senate challenger 91. Democrat - no name given 92. Republican - no name given 97. Name given not on candidate list for this race 98. DK; refused 99. NA 00. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in Senate election; no race in state of vote (0 in D11xx(1)); R voted in Kansas but did not vote in the regular Senate election ============================== VAR M961093 COLUMNS 5467 - 5467 NUMERIC D12a(1)/D12x IF R LOCATION IS NOT KANSAS: IF R VOTED: Who did you vote for? PARTY OF SENATE VOTE ----------------------------------------------------------- Built from D12a/D12xa. For Kansas voters, data for R's vote in the regular senate election have been duplicated here. 1. Democratic candidate (11,13,15,81,83,85,91) 2. Republican candidate (12,14,16,82,84,86,92) 3. Third party/independent candidate (30,80) 7. Name given not on Candidate List for that race (97) 8. DK; refused (98) 9. NA (99) 0. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in Senate election; no race in state of vote (0 in D11xx(1)); R voted in Kansas but did not vote in the regular Senate election ============================== VAR M961094 COLUMNS 5468 - 5469 NUMERIC D12k(1a)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS FIRST MENTION - CANDIDATE CODE ----------------------------------------------------------- Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a. If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 93. Democratic candidate in special senate election 94. Republican candidate in special senate election 11. Democratic candidate in regular senate election 12. Republican candidate in regular senate election CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Third party or independent Senate candidate 81. Democratic candidate in open Senate race 82. Republican candidate in open Senate race 83. Democratic Senate incumbent 84. Republican Senate incumbent 85. Democratic Senate challenger 86. Republican Senate challenger 91. Democrat - no name given 92. Republican - no name given 97. Name given not on Candidate List for this race 98. DK; refused 99. NA 00. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR M961095 COLUMNS 5470 - 5470 NUMERIC D12k(1b)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS FIRST MENTION - PARTY OF VOTE ----------------------------------------------------------- Built from D12k(1a)/D12xk(1a). Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 1. Democratic candidate (93,11,81,83,85,91) 2. Republican candidate (94,12,82,84,86) 3. Third party/ independent candidate (80) 7. Name given not on Candidate List for this race (97) 8. DK; refused (98) 9. NA (99) 0. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR M961096 COLUMNS 5471 - 5472 NUMERIC D12k(2a)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS SECOND MENTION - CANDIDATE CODE ----------------------------------------------------------- Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 93. Democratic candidate in special senate election 94. Republican candidate in special senate election 11. Democratic candidate in regular senate election 12. Republican candidate in regular senate election CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Third party or independent Senate candidate 81. Democratic candidate in open Senate race 82. Republican candidate in open Senate race 83. Democratic Senate incumbent 84. Republican Senate incumbent 85. Democratic Senate challenger 86. Republican Senate challenger 91. Democrat - no name given 92. Republican - no name given 97. Name given not on Candidate List for this race 98. DK; refused 99. NA 00. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted in only 1 KS Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR M961097 COLUMNS 5473 - 5473 NUMERIC D12k(2b)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS SECOND MENTION - PARTY CODE ----------------------------------------------------------- Built from D12k(2a)/D12xk(2a). Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 1. Democratic candidate (93,11,81,83,85,91) 2. Republican candidate (94,12,82,84,86,92) 3. Third party/ independent candidate (80) 7. Name given not on Candidate List for this race (97) 8. DK; refused (98) 9. NA (99) 0. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted in only 1 KS Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR M961098 COLUMNS 5474 - 5474 NUMERIC D14 IF R DID NOT VOTE: How about the election for PRESIDENT? Did you prefer one of the candidates for President? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, R voted or DK/refused/NA if voted(1,6,8,9 in D1); no post IW ============================== VAR M961099 COLUMNS 5475 - 5475 NUMERIC D14a IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR PRESIDENT: Who did you prefer? ----------------------------------------------------------- 1. Clinton 3. Dole 5. Perot 7. Other (specify) 8. DK 9. NA 0. Inap, no preference (5,8,9 in D14); R voted or DK/refused/NA if voted (1,6,8,9 inD1); no post IW ============================== VAR M961100 COLUMNS 5476 - 5476 NUMERIC D14b IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR PRESIDENT: IF R IDENTIFIED PRESIDENTIAL CANDIDATE OF PREFERENCE: Would you say that your preference for this candidate was STRONG or NOT STRONG? ----------------------------------------------------------- 1. Strong 5. Not strong 8. DK 9. NA 0. Inap, 8,9 in D14a; no preference (5,8,9 in D14); R voted or DK/refused/NA if voted (1,6,8,9 inD1); no post IW ============================== VAR M961101 COLUMNS 5477 - 5477 NUMERIC D15/D15x IF R DID NOT VOTE: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you prefer one of the candidates for the U.S. House of Representatives? / How about the election for the House of Representatives. Did you prefer one of the candidates for the U.S. House of Representatives? ----------------------------------------------------------- Unlike previous years, and through an error in the questionnaire, nonvoters not registered in the county of interview were not asked the same version of this question as nonvoters who were registered in the county of interview. Thus, all 'out of county' nonvoters (17 cases) were not shown a ballot card (second version of question). Specifically regarding 'out of county' nonvoters who may have been registered in a CD different from the CD of interview: in past studies, all nonvoters were asked for preference among candidates within the CD of interview, regardless of where they were registered, and the ballot card for CD of interview was presented to R. In 1996 no ballot card was shown and no other identification of CD for candidate preference was offered to nonvoters registered in a different CD. Among the 17 'out of county' nonvoters, no clear indication was found within respondents' answers of preference for candidates from CDs other than CD of interview, however it is unclear how the 'out of county' nonvoter responses would have differed if the ballot card had been shown. 1. Yes 5. No 8. DK 9. NA 0. Inap, R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW ============================== VAR M961102 COLUMNS 5478 - 5479 NUMERIC D15a/D15xa IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR HOUSE: Which candidate was that?/ Which candidate did you prefer? CANDIDATE CODE OF HOUSE PREFERENCE ----------------------------------------------------------- 31. Democratic House candidate in open race 32. Republican House candidate in open race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic challenger 36. Republican challenger 97. Name not on candidate list for this race 98. DK 99. NA 00. Inap, no preference (5,8,9 in D15); R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW ============================== VAR M961103 COLUMNS 5480 - 5480 NUMERIC D15a(1) IF R DID NOT VOTE: IF R PREFERRED ONE CANDIDATE FOR HOUSE RACE: Which candidate was that?/Which candidate did you prefer? PARTY CODE OF HOUSE PREFERENCE ----------------------------------------------------------- Build from D15/D15x and D15a/D15xa. 1. Democratic candidate (31,33,35) 2. Republican candidate (32,34,36) 7. Name given not on Candidate List for that race (97) 8. DK (98) 9. NA (99) 0. Inap, no preference (5,8,9 in D15); R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW ============================== VAR M961104 COLUMNS 5481 - 5481 NUMERIC D30/S30 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half of the respondents were randomly selected for administration of question D30a-D30g; the other half sample were administered S30a-S30g. 0. R selected for administration of S30a- S30g 1. R selected for administration of D30a- D30g 9. Inap, no Post IW ============================== D30/S30 Now I am going to ask you what you think of the government's current activities in various areas of environmental policy. In each case, just tell me whether you think the government should put less, the same amount, or more effort into that area than it does now. ----------------------------------------------------------- ============================== VAR M961105 COLUMNS 5482 - 5482 NUMERIC D30a/S30a Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into Improving and protecting the environment? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA; RF 0. Inap, no post IW ============================== VAR M961106 COLUMNS 5483 - 5483 NUMERIC D30b/S30b (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Reducing air pollution? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961107 COLUMNS 5484 - 5484 NUMERIC D30c/S30c (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Managing natural resources that are important to our economy, such as timber and fisheries? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA; RF 0. Inap, no post IW ============================== VAR M961108 COLUMNS 5485 - 5485 NUMERIC D30d/S30d (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Cleaning up lakes and parks for recreation such as hiking and boating? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA; RF 0. Inap, no post IW ============================== VAR M961109 COLUMNS 5486 - 5486 NUMERIC D30e/S30e (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Cleaning up hazardous or toxic waste? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA; RF 0. Inap, no post IW ============================== VAR M961110 COLUMNS 5487 - 5487 NUMERIC D30f/S30f (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Reducing solid waste and garbage? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA; RF 0. Inap, no post IW ============================== VAR M961111 COLUMNS 5488 - 5488 NUMERIC D30g/S30g (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Addressing global warming? ----------------------------------------------------------- See D30/S30 for full text. 1. Less 3. The same amount 5. More 8. DK 9. NA; RF 0. Inap, no post IW ============================== E1 (I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate name.) ----------------------------------------------------------- ============================== VAR M961112 COLUMNS 5489 - 5489 NUMERIC E1a Think about Bill Clinton. In your opinion, does the phrase "(he [is])....." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL? MORAL ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF 0. Inap, no Post IW ============================== VAR M961113 COLUMNS 5490 - 5490 NUMERIC E1b IF R GIVES OPINION ABOUT CLINTON AS 'MORAL:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in E1a; no Post IW ============================== VAR M961114 COLUMNS 5491 - 5491 NUMERIC E2a GETS THINGS DONE? (Does the phrase "gets things done" describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961115 COLUMNS 5492 - 5492 NUMERIC E2b IF R GIVES OPINION WHETHER CLINTON 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in E1c; no Post IW ============================== VAR M961116 COLUMNS 5493 - 5493 NUMERIC E1c Think about Bob Dole. In your opinion, does the phrase "(he [is])....." describe Bob Dole EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL? MORAL ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF 0. Inap, no Post IW ============================== VAR M961117 COLUMNS 5494 - 5494 NUMERIC E1d IF R GIVES OPINION ABOUT DOLE AS 'MORAL:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in E2a; no Post IW ============================== VAR M961118 COLUMNS 5495 - 5495 NUMERIC E2c GETS THINGS DONE? (Does the phrase "gets things done" describe Bob Dole EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF 0. Inap, no Post IW ============================== VAR M961119 COLUMNS 5496 - 5496 NUMERIC E2d IF R GIVES OPINION WHETHER DOLE 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in E2c; no Post IW ============================== VAR M961120 COLUMNS 5497 - 5497 NUMERIC E3a Now think about Ross Perot...... GETS THINGS DONE? (Does the phrase "gets things done" describe Ross Perot EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. 1. Extremely well 2. Quite well 3. Not too well 4. Not well at all 8. DK 9. NA; RF 0. Inap, no Post IW ============================== VAR M961121 COLUMNS 5498 - 5498 NUMERIC E3b IF R GIVES OPINION WHETHER PEROT 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- See note E3a. 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in E3a; no Post IW ============================== VAR M961122 COLUMNS 5499 - 5499 NUMERIC E3x CHECKPOINT - RUNNING INCUMBENT IN R'S DISTRICT? ----------------------------------------------------------- 0. No running incumbent in R's district (type race 55,65) 1. Running incumbent in R's district (type race 12,14,21,24) 9. Inap, Washington DC; no Post IW ============================== VAR M961123 COLUMNS 5500 - 5500 NUMERIC E4 IF RUNNING INCUMBENT IN R'S DISTRICT: In general, do you APPROVE or DISAPPROVE of the way Representative [NAME #33 OR NAME #34] has been handling his/her job? ----------------------------------------------------------- 1. Approve 5. Disapprove 8. DK 9. NA 0. Inap, no running incumbent (0 in E3x); Washington DC; no post iW ============================== VAR M961124 COLUMNS 5501 - 5501 NUMERIC E4a/E4b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R APPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT / IF R DISAPPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT: E4a. Do you approve STRONGLY or NOT STRONGLY? E4b. Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly 8. DK 9. NA 0. Inap, 0 in E3x; 8,9 in E4; Washington DC; no post iW ============================== VAR M961125 COLUMNS 5502 - 5502 NUMERIC E5 IF RUNNING INCUMBENT IN R'S DISTRICT: Do you happen to know about how many years [NAME #33 OR NAME #34] has been in the House of Representatives? ----------------------------------------------------------- 1. Yes, R knows 5. No 8. DK 9. NA 0. Inap, 0 in E3x; no post IW ============================== VAR M961126 COLUMNS 5503 - 5504 NUMERIC E5a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS R KNOWS ABOUT HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: About how many? ----------------------------------------------------------- Code actual number and: 98. DK 99. NA 00. Inap, 0 in E3x; 5,8,9 in E5; Washington DC; no post IW ============================== VAR M961127 COLUMNS 5505 - 5505 NUMERIC E5b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R DOESN'T KNOW HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: Would you say LESS THAN 12 years, ABOUT 12 years, or MORE THAN 12 years? ----------------------------------------------------------- 1. Less than 12 years 3. About 12 years 5. More than 12 years 8. DK 9. NA; RF 0. Inap, 0 in E3x; 1,8,9 in E5; Washington DC; no post IW ============================== VAR M961128 COLUMNS 5506 - 5506 NUMERIC E6 IF RUNNING INCUMBENT IN R'S DISTRICT: How good a job would you say U.S. Representative [NAME #33 OR NAME #34] does of keeping in touch with the people in your district -- does he/she do a VERY GOOD job, FAIRLY GOOD, FAIRLY POOR, or a POOR job of keeping in touch with the people in this district? ----------------------------------------------------------- 1. Very good 2. Fairly good 3. Fairly poor 4. Very poor 8. DK 9. NA; RF 0. Inap, 0 in E3x; Washington DC; no post IW ============================== VAR M961129 COLUMNS 5507 - 5507 NUMERIC E7 IF RUNNING INCUMBENT IN R'S DISTRICT: One of the main issues considered by Congress this year was welfare reform. Did Representative [NAME #33 OR NAME #34] vote FOR or AGAINST the welfare reform bill? ----------------------------------------------------------- 1. For 3. Against 8. DK 9. NA; RF 0. Inap, 0 in E3x; Washington DC; no post IW ============================== VAR M961130 COLUMNS 5508 - 5508 NUMERIC E7a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R DOESN'T KNOW HOW REPRESENTATIVE VOTED ON WELFARE REFORM BILL: What would be your best guess? (Did [NAME #33 OR NAME #34] vote for or against the welfare reform bill?) ----------------------------------------------------------- 1. For 3. Against 8. DK 9. NA 0. Inap, 0 in E3x; 1,3,9 in E7; Washington DC; no post IW ============================== VAR M961131 COLUMNS 5509 - 5509 NUMERIC E8 IF RUNNING INCUMBENT IN R'S DISTRICT: How often has Representative[NAME #33 OR NAME #34] supported President Clinton's legislative proposals? MORE THAN HALF the time, HALF, LESS THAN HALF the time, or are you not sure? ----------------------------------------------------------- 1. More than half 2. Half 3. Less than half 8. DK; not sure 9. NA; RF 0. Inap, 0 in E3x; Washington DC; no post IW ============================== VAR M961132 COLUMNS 5510 - 5510 NUMERIC E8a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON MORE THAN HALF THE TIME: Would you say it was almost always? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 0 in E3x; 2-9 in E8; Washington DC; no post IW ============================== VAR M961133 COLUMNS 5511 - 5511 NUMERIC E8b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON LESS THAN HALF THE TIME: Would you say it was almost never? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 0 in E3x; 1,2,8,9 in E8; Washington DC; no post IW ============================== VAR M961134 COLUMNS 5512 - 5512 NUMERIC E9 Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs MOST OF THE TIME, SOME OF THE TIME, ONLY NOW AND THEN, or HARDLY AT ALL? ----------------------------------------------------------- 1. Most of the time 2. Some of the time 3. Only now and then 4. Hardly at all 8. DK 9. NA; RF 0. Inap, no Post IW ============================== VAR M961135 COLUMNS 5513 - 5513 NUMERIC E10 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half the respondents were randomly selected for administration of questions F1-F4. 0. R not randomly selected for administration of F1-F4 1. R randomly selected for administration of F1-F4 9. Inap, no post IW ============================== VAR M961136 COLUMNS 5514 - 5516 NUMERIC F1(1) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 1 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 0 in E10; no Post IW ============================== VAR M961137 COLUMNS 5517 - 5519 NUMERIC F1(2) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 2 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 0 in E10; no further mention; no post IW ============================== VAR M961138 COLUMNS 5520 - 5522 NUMERIC F1(3) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 3 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 0 in E10; no further mention; no post IW ============================== VAR M961139 COLUMNS 5523 - 5525 NUMERIC F1(4) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 4 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 0 in E10; no further mention; no post IW ============================== VAR M961140 COLUMNS 5526 - 5526 NUMERIC F1a What do you think are the most important problems facing this country? CHECKPOINT - NUMBER OF MENTIONS FOR 'MOST IMPORTANT PROBLEM' ----------------------------------------------------------- 1. R has mentioned only one problem 3. R has mentioned more than one problem 5. R has not mentioned any problems 0. Inap, 0 in E10; no post IW ============================== VAR M961141 COLUMNS 5527 - 5529 NUMERIC F2 IF R HAS MENTIONED MORE THAN 1 'MOST IMPORTANT PROBLEM:' Of those you've mentioned, what would you say is the single most important problem the country faces? ----------------------------------------------------------- Responses of Rs who mentioned only 1 problem were duplicated here. See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 0 in E10; R has not mentioned any problems (5 in F1a); no post IW ============================== VAR M961142 COLUMNS 5530 - 5530 NUMERIC F3 IF R HAS IDENTIFIED 'MOST IMPORTANT PROBLEM:' How good a job is the government in Washington doing in dealing with this problem, a GOOD job, ONLY FAIR, or a POOR job? ----------------------------------------------------------- Cases which were administered in error using an early- version training VQ (1 in question Admin.35) were administered without this question; these cases have been coded NA. 1. A good job 3. Only fair 5. A poor job 8. DK 9. NA 0. Inap, 0 in E10; R has not identified any problems (5 in F1a); no post IW ============================== VAR M961143 COLUMNS 5531 - 5531 NUMERIC F4 IF R HAS IDENTIFIED 'MOST IMPORTANT PROBLEM:' Which political party do you think would be most likely to get the government to do a better job in dealing with this problem-- the REPUBLICANS, the DEMOCRATS, or WOULDN'T THERE BE MUCH DIFFERENCE BETWEEN THEM? ----------------------------------------------------------- Cases which were administered in error using an early- version training VQ (1 in question Admin.35) were administered without this question; these cases have been coded NA. 1. The Republicans 3. The Democrats 5. There wouldn't be much difference between them 7. Neither party [vol] 8. DK 9. NA 0. Inap, 0 in E10; R has not identified any problems (5 in F1a); no post IW ============================== F5 Next, I am going to ask you to choose which of two statements I read comes closer to your own opinion. You might agree to some extent with both, but we want to know which one is closer to your views. [IF NECESSARY, PROBE "Which would you choose?" ONCE EACH QUESTION.] ----------------------------------------------------------- ============================== VAR M961144 COLUMNS 5532 - 5532 NUMERIC F5a ONE, the less government, the better; or TWO, there are more things that government should be doing? ----------------------------------------------------------- See F5 for full text. 1. The less government the better 2. More things government should be doing 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961145 COLUMNS 5533 - 5533 NUMERIC F5b ONE, we need a strong government to handle today's complex economic problems; or TWO, the free market can handle these problems without government being involved. ----------------------------------------------------------- See F5 for full text. 1. Need a strong gov't to handle complex economic problems 2. Free market can handle witout government involvement 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961146 COLUMNS 5534 - 5534 NUMERIC F5c ONE, the main reason government has become bigger over the years is because it has gotten involved in things that people should do for themselves; or TWO, government has become bigger because the problems we face have become bigger. ----------------------------------------------------------- See F5 for full text. 1. Govt is bigger because involved in things people should handle themselves 2. Govt has become bigger because problems are bigger 8. DK 9. NA; RF 0. Inap, no post IW ============================== VAR M961147 COLUMNS 5535 - 5535 NUMERIC F5d ONE, it is more important to be a cooperative person who works well with others; or TWO, it is more important to be a self-reliant person able to take care of oneself. ----------------------------------------------------------- See F5 for full text. 1. More important to be cooperative 2. More important to be self-reliant 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961148 COLUMNS 5536 - 5537 NUMERIC F6 How many times IN THE LAST WEEK have you watched "Jeopardy" or "Wheel of Fortune"? ----------------------------------------------------------- Codes 0-20 and: 98. DK 99. NA; Inap, no post IW ============================== VAR M961149 COLUMNS 5538 - 5539 NUMERIC F7 How many times IN THE LAST WEEK have you watched a sports event on TV? ----------------------------------------------------------- Codes 0-20 and: 98. DK 99. NA; Inap, no post IW ============================== VAR M961150 COLUMNS 5540 - 5540 NUMERIC F8 Do you watch "ER" EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY or NOT AT ALL? ----------------------------------------------------------- 1. Every week 2. Most weeks 3. Only occasionally 4. Not at all 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961151 COLUMNS 5541 - 5541 NUMERIC F9 Do you watch "Frasier" EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL? ----------------------------------------------------------- 1. Every week 2. Most weeks 3. Only occasionally 4. Not at all 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961152 COLUMNS 5542 - 5542 NUMERIC F10 How about "Dr. Quinn, Medicine Woman"? (Do you watch that show EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL?) ----------------------------------------------------------- 1. Every week 2. Most weeks 3. Only occasionally 4. Not at all 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961153 COLUMNS 5543 - 5543 NUMERIC F11 Do you watch the show "Friends" (EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL?) ----------------------------------------------------------- 1. Every week 2. Most weeks 3. Only occasionally 4. Not at all 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961154 COLUMNS 5544 - 5544 NUMERIC F12 How about "Prime Time Live"? (Do you watch this show EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL?) ----------------------------------------------------------- 1. Every week 2. Most weeks 3. Only occasionally 4. Not at all 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961155 COLUMNS 5545 - 5545 NUMERIC F13 There are a number of programs on radio in which people call in to voice their opinions about politics. Do you ever listen to political talk radio programs of this type? ----------------------------------------------------------- 1. Yes, listen 5. No, don't listen 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961156 COLUMNS 5546 - 5546 NUMERIC F13a IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: How often do you listen to those programs -- EVERY DAY, MOST DAYS, ONCE OR TWICE A WEEK, or ONLY OCCASIONALLY? ----------------------------------------------------------- 1. Every day 2. Most days 3. Once or twice a week 4. Only occasionally 8. DK 9. NA 0. Inap, 5,8,9 in F13; no post IW ============================== VAR M961157 COLUMNS 5547 - 5547 NUMERIC F13b IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: Some people listen carefully to these talk radio programs while others just keep them on in the background while they do other things. How about you? When you turn on a political talk radio program, would you say you pay VERY CLOSE attention, FAIRLY CLOSE attention, OCCASIONAL attention, or VERY LITTLE attention? ----------------------------------------------------------- 1. Very close attention 2. Fairly close attention 3. Occasional attention 4. Very little attention 8. DK 9. NA 0. Inap, 5,8,9 in F13; no post IW ============================== VAR M961158 COLUMNS 5548 - 5548 NUMERIC F14 IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: Do you ever listen to the Rush Limbaugh Show? ----------------------------------------------------------- [IWR INSTRUCTION: if R volunteers that they only watch him on TV, code '5' and continue w/out comment.] 1. Yes, listen 5. No, don't listen 8. DK 9. NA 0. Inap, 5,8,9 in F13; no post IW ============================== VAR M961159 COLUMNS 5549 - 5549 NUMERIC F14a IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: IF R LISTENS TO RUSH LIMBAUGH: How often do you listen to Rush Limbaugh -- EVERY DAY, MOST DAYS, ONCE OR TWICE A WEEK, or ONLY OCCASIONALLY? ----------------------------------------------------------- 1. Every day 2. Most days 3. Once or twice a week 4. Only occasionally 8. DK 9. NA 0. Inap, 5,8,9 in F13; 5,8,9 in F14; no post IW ============================== VAR M961160 COLUMNS 5550 - 5550 NUMERIC F15 Do you have access to the Internet or the World Wide Web ("the Web")? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961161 COLUMNS 5551 - 5551 NUMERIC F15a IF R HAS ACCESS TO THE INTERNET: Have you seen any information about this election campaign on the (Internet/the Web)? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 5,8,9 in F15; no post IW ============================== VAR M961162 COLUMNS 5552 - 5552 NUMERIC G1 As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the POLITICAL PARTIES call you up or come around and talk to you about the campaign this year? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961163 COLUMNS 5553 - 5553 NUMERIC G1a IF POLITICAL PARTY CONTACTED R ABOUT CAMPAIGNS: (Did anyone from one of the political parties call you up or come around and talk to you about the campaign this year?) Which party was that? ----------------------------------------------------------- 1. Democrats 5. Republicans 6. Both parties 7. Other party - specify 8. DK 9. NA 0. Inap, 5,8,9 in G1; no Post IW ============================== VAR M961164 COLUMNS 5554 - 5554 NUMERIC G2 Other than someone from the two major parties, did anyone (else) call you up or come around and talk to you about supporting specific candidates in this last election? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961165 COLUMNS 5555 - 5555 NUMERIC G3 We would like to find out about some of the things people do to help a party or a candidate win an election. During the campaign, did you talk to any people and try to show them why they should vote for or against one of the parties or candidates? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961166 COLUMNS 5556 - 5556 NUMERIC G4 Did you wear a campaign button, put a campaign sticker on your car, or place a sign in your window or in front of your house? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961167 COLUMNS 5557 - 5557 NUMERIC G5 Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961168 COLUMNS 5558 - 5558 NUMERIC G6 Did you do any (other) work for one of the parties or candidates? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961169 COLUMNS 5559 - 5559 NUMERIC G7 During an election year people are often asked to make a contribution to support campaigns. Did you give money to an INDIVIDUAL CANDIDATE running for public office? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961170 COLUMNS 5560 - 5560 NUMERIC G7a IF R MADE CONTRIBUTION TO CANDIDATE: Which party did that candidate belong to? ----------------------------------------------------------- 1. Democrats 3. Republicans 5. Other (specify)[VOL] 6. Both a Democratic candidate and a Republican candidate 8. DK 9. NA 0. Inap, 5,8,9 in G7; no Post IW ============================== VAR M961171 COLUMNS 5561 - 5561 NUMERIC G8 Did you give money to a POLITICAL PARTY during this election year? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961172 COLUMNS 5562 - 5562 NUMERIC G8a IF R MADE CONTRIBUTION TO PARTY? To which party did you give money? ----------------------------------------------------------- 1. Democrats 3. Republicans 5. Other (specify)[VOL] 6. Both Democrats and Republicans [VOL] 8. DK 9. NA 0. Inap, 5,8,9 in G8; no Post IW ============================== VAR M961173 COLUMNS 5563 - 5563 NUMERIC G9 Did you give any money to ANY OTHER GROUP that supported or opposed candidates? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961174 COLUMNS 5564 - 5564 NUMERIC G10 During the campaign this year, did anyone talk to you about REGISTERING to vote or GETTING OUT TO VOTE? ----------------------------------------------------------- 1. Yes, someone did 5. No, no one did 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961175 COLUMNS 5565 - 5565 NUMERIC G11 Were there any groups concerned with MORAL OR RELIGIOUS ISSUES that tried to encourage you to vote in a particular way? ----------------------------------------------------------- 1. Yes, there were groups 5. No, no groups tried to encourage 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961176 COLUMNS 5566 - 5566 NUMERIC G12 Was information about candidates, parties, or political issues made available in your place of worship before the election? ----------------------------------------------------------- 1. Yes 5. No, no information available 7. No, don't attend church (VOL) 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961177 COLUMNS 5567 - 5567 NUMERIC G13 IF R HAS NOT INDICATED NONATTENDANCE AT CHURCH IN G12: Did the clergy or other church leaders at your place of worship encourage you to vote for a particular candidate or party? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, R says he/she doesn't attend church (7 in G12); no post IW ============================== VAR M961178 COLUMNS 5568 - 5569 NUMERIC G13a(1) IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] MENTION 1 ----------------------------------------------------------- The codes for this variable have been slightly changed from previous years. PRESIDENTIAL: 01. Democratic Presidential candidate (1996: Clinton) 02. Republican Presidential candidate (1996: Dole) 03. Independent/3rd party Presidential candidate (1996: Perot) 05. Anti-Democratic Presidential candidate (1996: Anti-Clinton) 06. Anti-Republican Presidential candidate (1996: Anti-Dole) SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate 93. Democratic Senate candidate for KS special election 94. Republican Senate candidate for KS special election HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which candidate(s) 72. Republican Candidate(s)--NA which candidate(s) 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 81. Democratic Party 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party (only) NON-PARTY-SPECIFIC: 90. Vote on particular issue 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates; advice to vote/ not vote 97. Candidate name given but party/office level NA (low priority) 98. Don't know, can't remember 99. NA 00. Inap, R does not attend church (7 in G12); no encouragement given (5,8,9 in G13); no post IW ============================== VAR M961179 COLUMNS 5570 - 5571 NUMERIC G13a(2) IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] MENTION 2 ----------------------------------------------------------- The codes for this variable have been slightly changed from previous years. PRESIDENTIAL: 01. Democratic Presidential candidate (1996: Clinton) 02. Republican Presidential candidate (1996: Dole) 03. Independent/3rd party Presidential candidate (1996: Perot) 05. Anti-Democratic Presidential candidate (1996: Anti-Clinton) 06. Anti-Republican Presidential candidate (1996: Anti-Dole) SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate 93. Democratic Senate candidate for KS special election 94. Republican Senate candidate for KS special election HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which candidate(s) 72. Republican Candidate(s)--NA which candidate(s) 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 81. Democratic Party 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party (only) NON-PARTY-SPECIFIC: 90. Vote on particular issue 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates; advice to vote/ not vote 97. Candidate name given but party/office level NA (low priority) 00. Inap, R does not attend church (7 in G12); no encouragement given (5,8,9 in G13); no post IW; no further mention ============================== VAR M961180 COLUMNS 5572 - 5573 NUMERIC G13a(3) IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] MENTION 3 ----------------------------------------------------------- The codes for this variable have been slightly changed from previous years. PRESIDENTIAL: 01. Democratic Presidential candidate (1996: Clinton) 02. Republican Presidential candidate (1996: Dole) 03. Independent/3rd party Presidential candidate (1996: Perot) 05. Anti-Democratic Presidential candidate (1996: Anti-Clinton) 06. Anti-Republican Presidential candidate (1996: Anti-Dole) SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate 93. Democratic Senate candidate for KS special election 94. Republican Senate candidate for KS special election HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which candidate(s) 72. Republican Candidate(s)--NA which candidate(s) 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 81. Democratic Party 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party (only) NON-PARTY-SPECIFIC: 90. Vote on particular issue 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates; advice to vote/ not vote 97. Candidate name given but party/office level NA (low priority) 00. Inap, R does not attend church (7 in G12); no encouragement given (5,8,9 in G13); no post IW; no further mention ============================== VAR M961181 COLUMNS 5574 - 5574 NUMERIC G14 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half the respondents were randomly selected for administration of questions H1-H1b. 0. R not randomly selected for administration of H1-H1a 1. R randomly selected for administration of H1-H1a 9. Inap, no post IW ============================== VAR M961182 COLUMNS 5575 - 5575 NUMERIC H1 Do you think there are any important differences in what the Republicans and Democrats stand for? ----------------------------------------------------------- 1. Yes, differences 5. No, no differences 8. DK 9. NA 0. Inap, 0 in G14; no Post IW ============================== VAR M961183 COLUMNS 5576 - 5578 NUMERIC H1a(1) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 1 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 9998. DK 9999. NA 0000. Inap, 0 in G14; 5,8,9 in H1; no Post IW ============================== VAR M961183A COLUMNS 5579 - 5579 NUMERIC H1b(1) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 1 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK (998 in H1a(1)) 9. NA (999 in H1a(1)) 0. Inap, 0 in G14; 5,8,9 in H1; no post IW ============================== VAR M961184 COLUMNS 5580 - 5582 NUMERIC H1a(2) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 2 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR M961184A COLUMNS 5583 - 5583 NUMERIC H1b(2) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 2 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR M961185 COLUMNS 5584 - 5586 NUMERIC H1a(3) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 3 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR M961185A COLUMNS 5587 - 5587 NUMERIC H1b(3) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 3 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR M961186 COLUMNS 5588 - 5590 NUMERIC H1a(4) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 4 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR M961186A COLUMNS 5591 - 5591 NUMERIC H1b(4) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 4 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR M961187 COLUMNS 5592 - 5594 NUMERIC H1a(5) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 5 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR M961187A COLUMNS 5595 - 5595 NUMERIC H1b(5) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 5 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR M961188 COLUMNS 5596 - 5598 NUMERIC H1a(6) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 6 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR M961188A COLUMNS 5599 - 5599 NUMERIC H1b(6) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 6 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 1. Democratic party mention 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 5. Republican Party mention 6. Other party mentioned instead 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== H3 Now we have a set of questions concerning various public figures. We want to see how much information about them gets out to the public from television, newspapers and the like. [PAUSE AFTER EACH NAME. RECORD EXACTLY WHAT IS SAID BUT DO NOT PROBE DON'T KNOW.] ----------------------------------------------------------- ============================== VAR M961189 COLUMNS 5600 - 5600 NUMERIC H3a The first name is Al Gore. What job or political office does he now hold? AL GORE - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 1. Correctly identified Al Gore (as Vice- President) 5. Identification incomplete or wrong 8. DK; R makes no attempt to guess 9. NA 0. Inap, no Post IW ============================== VAR M961190 COLUMNS 5601 - 5601 NUMERIC H3b William Rehnquist? (What job or political office does he now hold?) WILLIAM REHNQUIST - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 1. Correctly identifies Rehnquist as Chief Justice of the Supreme Court 5. Identification incomplete or wrong 8. DK; R makes no attempt to guess 9. NA 0. Inap, no Post IW ============================== VAR M961191 COLUMNS 5602 - 5602 NUMERIC H3c Boris Yeltsin? (What job or political office does he now hold?) BORIS YELTSIN - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 1. Correctly identifies Yeltsin as President of Russia or as leader/head/top man of Russia 5. Identification incomplete or wrong (incl. leader of Soviet Union/former Soviet Union) 8. DK; R makes no attempt to guess 9. NA 0. Inap, no Post IW ============================== VAR M961192 COLUMNS 5603 - 5603 NUMERIC H3d Newt Gingrich? (What job or political office does he now hold?) NEWT GINGRICH - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 1. Correctly identifies Gingrich as Speaker of the House of Representatives 5. Identification incomplete or wrong 8. DK; R makes no attempt to guess 9. NA 0. Inap, no Post IW ============================== VAR M961193 COLUMNS 5604 - 5604 NUMERIC H4 Do you FAVOR or OPPOSE laws to protect homosexuals against job discrimination? ----------------------------------------------------------- 1. Favor 5. Oppose 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961194 COLUMNS 5605 - 5605 NUMERIC H4a/H4b IF R FAVORS LAWS TO PROTECT HOMOSEXUALS AGAINST JOB DISCRIMINATION / IF R OPPOSES LAWS TO PROTECT HOMOSEXUALS AGAINST JOB DISCRIMINATION / H4a. Do you favor such laws STRONGLY or NOT STRONGLY? H4b. Do you oppose such laws STRONGLY or NOT STRONLGY? ----------------------------------------------------------- 1. Favor strongly 2. Favor not strongly 4. Oppose not strongly 5. Oppose strongly 8. DK 9. NA 0. Inap, 8,9 in H4; no post IW ============================== VAR M961195 COLUMNS 5606 - 5606 NUMERIC H5 Do you think homosexuals should be allowed to serve in the United States Armed Forces or don't you think so? ----------------------------------------------------------- 1. Homosexuals should be allowed to serve 5. Homosexuals should not be allowed to serve 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961196 COLUMNS 5607 - 5607 NUMERIC H5a/H5b IF R FAVORS ALLOWING HOMOSEXUALS TO SERVICE IN THE ARMED FORCES / IF R FAVORS ALLOWING HOMOSEXUALS TO SERVICE IN THE ARMED FORCES: H5a. Do you feel STRONGLY or NOT STRONGLY that homosexuals should be allowed to serve in the United States Armed Forces? H5b. Do you feel STRONGLY or NOT STRONGLY that homosexuals should not be allowed to serve in the United States Armed Forces? ----------------------------------------------------------- 1. Feel strongly - should be allowed to serve 2. Feel not strongly - should be allowed to serve 4. Feel not strongly - should not be allowed to serve 5. Feel strongly - should not be allowed to serve 8. DK 9. NA 0. Inap, 8,9 in H5; no post IW ============================== VAR M961197 COLUMNS 5608 - 5608 NUMERIC H6 Do you FAVOR or OPPOSE the death penalty for persons convicted of murder? ----------------------------------------------------------- 1. Favor 5. Oppose 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961198 COLUMNS 5609 - 5609 NUMERIC H6a/H6b IF R FAVORS THE DEATH PENALTY FOR PERSONS CONVICTED OF MURDER / IF R OPPOSES THE DEATH PENALTY FOR PERSONS CONVICTED OF MURDER: H6a. Do you favor the death penalty for persons convicted of murder STRONGLY or NOT STRONGLY? H6b. Do you oppose the death penalty for persons convicted of murder STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 1. Favor strongly 2. Favor not strongly 4. Oppose not strongly 5. Oppose strongly 8. DK 9. NA 0. Inap, 8,9 in H6; no post IW ============================== VAR M961199 COLUMNS 5610 - 5610 NUMERIC H6c Looking at page 2 of the booklet, please tell me how much you AGREE or DISAGREE with the following statement: Mothers should remain at home with young children and not work. ----------------------------------------------------------- 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961200 COLUMNS 5611 - 5611 NUMERIC H7 (Not looking at the booklet) Which level of government do you think should be most involved in dealing with ENVIRONMENTAL problems -- The national government, state governments, or local governments? ----------------------------------------------------------- 1. National government 3. State governments 5. Local governments 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961201 COLUMNS 5612 - 5612 NUMERIC H8 What about welfare issues? Which level of government do you think should be most involved in dealing with WELFARE issues -- The national government, state governments, or local governments? ----------------------------------------------------------- 1. National government 3. State governments 5. Local governments 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961202 COLUMNS 5613 - 5613 NUMERIC H9 What about CRIME? (Which level of government do you think should be most involved in dealing with crime -- The national government, state governments, or local governments?) ----------------------------------------------------------- 1. National government 3. State governments 5. Local governments 8. DK 9. NA 0. Inap, no post IW ============================== VAR M961203 COLUMNS 5614 - 5614 NUMERIC H11 We find that people differ in how much faith and confidence they have in various levels of government in this country. In your case, do you have more faith and confidence in NATIONAL GOVERNMENT, the GOVERNMENT OF THIS STATE, or in the LOCAL GOVERNMENT around here? ----------------------------------------------------------- 1. National government 3. Government of this state 5. The local government around here 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961204 COLUMNS 5615 - 5615 NUMERIC H12 Which level of government do you have the least faith and confidence in: the NATIONAL GOVERNMENT, the GOVERNMENT OF THIS STATE, or the LOCAL GOVERNMENT around here? ----------------------------------------------------------- 1. National government 3. Government of this state 5. The local government around here 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961205 COLUMNS 5616 - 5616 NUMERIC J2 Some people feel that if black people are not getting fair treatment in jobs, the government in Washington ought to see to it that they do. Others feel that this is not the federal government's business. Have you had enough interest in this question to favor one side over the other? ----------------------------------------------------------- 1. Yes, have interest in question 5. No, haven't had interest in question 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961206 COLUMNS 5617 - 5617 NUMERIC J2a How do you feel? Should the government in Washington see to it that black people get fair treatment in jobs or is this not the federal government's business? ----------------------------------------------------------- 1. Government should see to blacks' fair treatment in jobs 5. This is not the federal government's business 7. Other 8. DK 9. NA 0. Inap, 5,8,9 in J2; no Post IW ============================== VAR M961207 COLUMNS 5618 - 5618 NUMERIC J2a(1)/J2a(2 IF R FEELS THAT THE GOVERNMENT SHOULD SEE TO FAIR TREATMENT IN JOBS FOR BLACKS / IF R FEELS THAT THIS IS NOT THE FEDERAL GOVERNMENT'S BUSINESS: J2a1. Do you feel STRONGLY or NOT STRONGLY (that the government in Washington should see to it that Black people get fair treatment in jobs)? J2a2. Do you feel STRONGLY or NOT STRONGLY (that this is not the federal government's business)? ----------------------------------------------------------- 1. Strongly think that federal government should see to fair treatment 2. Not strongly think that federal government should see to fair treatment 4. Not strongly think that this is not the federal government's business 5. Strongly think that this is not the federal government's business 8. DK 9. NA 0. Inap, 5,8,9 in J2; 7,8,9 in J2a; no Post IW ============================== VAR M961208 COLUMNS 5619 - 5619 NUMERIC J3 Some people say that because of past discrimination, blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it gives blacks advantages they haven't earned. What about your opinion -- are you FOR or AGAINST preferential hiring and promotion of blacks? ----------------------------------------------------------- 1. For preferential hiring and promotion of blacks 5. Against preferential hiring and promotion of blacks 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961209 COLUMNS 5620 - 5620 NUMERIC J3a/J3b IF R FAVORS PREFERENTIAL HIRING AND PROMOTION FOR BLACKS / IF R OPPOSES PREFERENTIAL HIRING AND PROMOTION FOR BLACKS: J3a. Do you favor preference in hiring and promotion STRONGLY or NOT STRONGLY? J3b. Do you oppose preference in hiring and promotion STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from J3, J3a/b. 1. Favor strongly 2. Favor not strongly 4. Oppose not strongly 5. Oppose strongly 8. DK 9. NA 0. Inap, 7,8,9 in J3; no Post IW ============================== J4 Looking at page 3 of the booklet: Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. Suppose these people are at one end of a scale, at point 1. Others feel that the government should not make any special effort to help blacks because they should help themselves. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. ----------------------------------------------------------- ============================== VAR M961210 COLUMNS 5621 - 5621 NUMERIC J4a Where would you place yourself on this scale, or haven't you thought much about this? R'S POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. 1. Govt should make every effort to help blacks 2. 3. 4. 5. 6. 7. Govt should not make special effort to help blacks 8. DK 9. NA; Inap, no Post IW 0. Haven't thought much about this ============================== VAR M961211 COLUMNS 5622 - 5622 NUMERIC J4b [RB] Where would you place Bill Clinton on this scale? CLINTON POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. Order of Clinton, Dole and Perot in J4a-J4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Govt should make every effort to help blacks 2. 3. 4. 5. 6. 7. Govt should not make special effort to help blacks 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961212 COLUMNS 5623 - 5623 NUMERIC J4c [RB] Where would you place Bob Dole on this scale? DOLE POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. Order of Clinton, Dole and Perot in J4a-J4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Govt should make every effort to help blacks 2. 3. 4. 5. 6. 7. Govt should not make special effort to help blacks 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961213 COLUMNS 5624 - 5624 NUMERIC J4d [RB] Where would you place Ross Perot on this scale? PEROT POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. Order of Clinton, Dole and Perot in J4a-J4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Govt should make every effort to help blacks 2. 3. 4. 5. 6. 7. Govt should not make special effort to help blacks 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961214 COLUMNS 5625 - 5625 NUMERIC J5 Turning to page 4 of the booklet: Which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. 1. BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 2. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 3. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 4. BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 7 OTHER - specify [VOL.] ----------------------------------------------------------- 1. Not allowed in public schools 2. Allow children to pray silently 3. Schedule time for general prayer 4. Christian prayer required 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961215 COLUMNS 5626 - 5626 NUMERIC J5a IF R HAS AN OPINION ABOUT SCHOOL PRAYER: Do you favor that choice strongly or not strongly? ----------------------------------------------------------- 1. Favor strongly 5. Favor not strongly 8. DK 9. NA 0. Inap, 8,9 in J5; no Post IW ============================== VAR M961216 COLUMNS 5627 - 5627 NUMERIC J6 How afraid are you that a member of your family, or a close friend, or you yourself might be the victim of an assault during the coming year? Would you say you are VERY AFRAID, SOMEWHAT AFRAID, A LITTLE BIT AFRAID, or NOT AFRAID? ----------------------------------------------------------- 1. Very afraid 2. Somewhat afraid 3. A little bit afraid 4. Not afraid 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961217 COLUMNS 5628 - 5628 NUMERIC J7 Do you favor or oppose a ban on the sale of all handguns, except those that are issued to law enforcement officers? ----------------------------------------------------------- 1. Favor 5. Oppose 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961218 COLUMNS 5629 - 5629 NUMERIC J8 IF INTERVIEW IS ASSIGNED TO TELEPHONE ADMINISTRATION: Do you have a gun in the house? ----------------------------------------------------------- Codes 1 and 5 apply to interviews assigned to telephone mode and administered in telephone mode (4 in question Admin.49). Interviews assigned to personal mode skipped this question; if an interview was assigned to personal mode but was actually administered by telephone this question was also skipped (1 and 2 in question Admin.48). If an interview was assigned as telephone but was in fact conducted in person (3 in question Admin.48), this screen appeared and the interviewer was instructed to code 7; however, in a few such instances the interviewer asked the question, and the respones in such cases have been coded 2 or 6. 1. Yes 2. Yes - assigned phone IW is conducted in person, IWR asked this question in error 5. No 6. No - assigned phone IW is conducted in person, IWR asked this question in error 7. Question not asked--assigned phone interview is conducted in person (3 in question Admin.49 and IWR correctly skipped this question) 8. DK 9. NA 0. Inap, interview administered as personal IW (1 or 2 in question Admin.48); no Post IW ============================== VAR M961219 COLUMNS 5630 - 5630 NUMERIC J9 Each year the government in Washington has to make decisions about taxes, spending, and the deficit. We'd like to know your opinions about what the government should do about the budget. Do you favor an increase in the federal budget deficit in order to increase spending on domestic programs like Medicare, education, and highways? ----------------------------------------------------------- 1. Yes, favor 5. No, don't favor 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961220 COLUMNS 5631 - 5631 NUMERIC J10 Do you favor cuts in spending on domestic programs like Medicare, education and highways in order to cut the taxes paid by ordinary Americans? ----------------------------------------------------------- See J9 for full introductory text. 1. Yes, favor 5. No, don't favor 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961221 COLUMNS 5632 - 5632 NUMERIC J11 Do you favor an increase in the federal budget deficit in order to cut the taxes paid by ordinary Americans? ----------------------------------------------------------- See J9 for full introductory text. 1. Yes, favor 5. No, don't favor 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961222 COLUMNS 5633 - 5633 NUMERIC K1 Overall, how would you rate the air quality in our nation? Very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 1. Very good 2. Fairly good 3. Fairly bad 4. Very bad 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961223 COLUMNS 5634 - 5634 NUMERIC K2 What about in your local community? Is the air quality very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 1. Very good 2. Fairly good 3. Fairly bad 4. Very bad 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961224 COLUMNS 5635 - 5635 NUMERIC K3 Overall, how would you rate the safety of drinking water in our nation? Very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 1. Very good 2. Fairly good 3. Fairly bad 4. Very bad 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961225 COLUMNS 5636 - 5636 NUMERIC K4 What about in your local community? Is the safety of drinking water in your local community very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 1. Very good 2. Fairly good 3. Fairly bad 4. Very bad 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961226 COLUMNS 5637 - 5637 NUMERIC K5 Here are a few more questions about what the government should do about the budget. Do you favor increases in the taxes paid by ordinary Americans in order to increase spending on domestic programs like Medicare, education and highways? ----------------------------------------------------------- 1. Yes, favor 5. No, don't favor 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961227 COLUMNS 5638 - 5638 NUMERIC K6 Do you favor cuts in spending on domestic programs like Medicare, education, and highways in order to cut the federal budget deficit? ----------------------------------------------------------- See K5 for introductory sentence. 1. Yes, favor 5. No, don't favor 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961228 COLUMNS 5639 - 5639 NUMERIC K7 Do you favor increases in taxes paid by ordinary Americans in order to cut the federal budget deficit? ----------------------------------------------------------- See K5 for introductory sentence. 1. Yes, favor 5. No, don't favor 8. DK 9. NA 0. Inap, no Post IW ============================== L1 Looking at page 5 of the booklet: I am going to read several statements. After each one, I would like you to tell me whether you AGREE STRONGLY with the statement, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY. ----------------------------------------------------------- ============================== VAR M961229 COLUMNS 5640 - 5640 NUMERIC L1a [RB] The first statement is: Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed. ----------------------------------------------------------- See L1 for full text. Respondent booklet used. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961230 COLUMNS 5641 - 5641 NUMERIC L1b [RB] (Still on p.5) We have gone too far in pushing equal rights in this country. ----------------------------------------------------------- See L1 for full text. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961231 COLUMNS 5642 - 5642 NUMERIC L1c [RB] (Still on p. 5) One of the big problems in this country is that we don't give everyone an equal chance. ----------------------------------------------------------- See L1 for full text. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961232 COLUMNS 5643 - 5643 NUMERIC L1d [RB] (Still on p. 5) This country would be better off if we worried less about how equal people are. ----------------------------------------------------------- See L1 for full text. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961233 COLUMNS 5644 - 5644 NUMERIC L1e [RB] (Still on p. 5) It is not really that big a problem if some people have more of a chance in life than others. ----------------------------------------------------------- See L1 for full text. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961234 COLUMNS 5645 - 5645 NUMERIC L1f [RB] (Still on p. 5) If people were treated more equally in this country we would have many fewer problems. ----------------------------------------------------------- See L1 for full text. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961235 COLUMNS 5646 - 5646 NUMERIC L2a Now I am going to read several statements about helping others. (Still looking at p.5 of the booklet) Please tell me how much you agree or disagree with each one. One should always find ways to help others less fortunate than oneself. ----------------------------------------------------------- 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961236 COLUMNS 5647 - 5647 NUMERIC L2b [RB] (Still on p. 5) A person should always be concerned about the well-being of others. ----------------------------------------------------------- See L2a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961237 COLUMNS 5648 - 5648 NUMERIC L2c [RB] (Still on p. 5) It is best not to get too involved in taking care of other people's needs. ----------------------------------------------------------- See L2a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap ============================== VAR M961238 COLUMNS 5649 - 5649 NUMERIC L2d [RB] (Still on p. 5) People tend to pay more attention to the well-being of others than they should. ----------------------------------------------------------- See L2a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961239 COLUMNS 5650 - 5650 NUMERIC L3a Not using the booklet: We're interested in how much people learn about television news personalities. Take Tom Brokaw. Do you happen to know which network he works for-- is it CBS, CNN or which? ----------------------------------------------------------- 1. ABC 2. NBC 3. CBS 4. CNN 5. Don't watch/have television [VOL] 6. R gave number or call letter of TV channel only (NFS) [VOL] 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961240 COLUMNS 5651 - 5651 NUMERIC L3b IF R HAS NOT INDICATED 'DON'T WATCH TELEVISION' IN L3a: What about Peter Jennings? (Do you happen to know what network he works for?) ----------------------------------------------------------- See L3a for introduction. 1. ABC 2. NBC 3. CBS 4. CNN 6. R gave number or call letter of TV channel only (NFS) [VOL] 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, 5 in L3a; no Post IW ============================== VAR M961241 COLUMNS 5652 - 5652 NUMERIC L3c IF R HAS NOT INDICATED 'DON'T WATCH TELEVISION' IN L3a: What about Dan Rather? (Do you happen to know what network he works for?) ----------------------------------------------------------- See L3a for introduction. 1. ABC 2. NBC 3. CBS 4. CNN 6. R gave number or call letter of TV channel only (NFS) [VOL] 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, 5 in L3a; no Post IW ============================== VAR M961242 COLUMNS 5653 - 5653 NUMERIC L3d IF R HAS NOT INDICATED 'DON'T WATCH TELEVISION' IN L3a: What about Bernard Shaw? (Do you happen to know what network he works for?) ----------------------------------------------------------- See L3a for introduction. 1. ABC 2. NBC 3. CBS 4. CNN 6. R gave number or call letter of TV channel only (NFS) [VOL] 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, 5 in L3a; no Post IW ============================== VAR M961243 COLUMNS 5654 - 5654 NUMERIC L4 What do you think of your personal financial situation these days? Would you say that your personal financial situation is VERY GOOD, GOOD, NEITHER GOOD NOR BAD, BAD, or VERY BAD? ----------------------------------------------------------- 1. Very good 2. Good 3. Neither good nor bad 4. Bad 5. Very bad 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961244 COLUMNS 5655 - 5655 NUMERIC M1a (Again looking at page 5 of the booklet) Please tell me how much you agree or disagree with these statements. The first is: Public officials don't care much what people like me think. ----------------------------------------------------------- 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961245 COLUMNS 5656 - 5656 NUMERIC M1b [RB] (Still on p. 5) People like me don't have any say about what the government does. ----------------------------------------------------------- See M1a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961246 COLUMNS 5657 - 5657 NUMERIC M1c [RB] (Still on p. 5) Sometimes politics and government seem so complicated that a person like me can't really understand what's going on. ----------------------------------------------------------- See M1a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961247 COLUMNS 5658 - 5658 NUMERIC M2a [RB] (Still on p.5) Now I am going to read several statements. After each one, I would like you to tell me whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement. The first statement is... The newer lifestyles are contributing to the breakdown of our society. ----------------------------------------------------------- 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961248 COLUMNS 5659 - 5659 NUMERIC M2b [RB] (Still on p. 5) The world is always changing and we should adjust our view of moral behavior to those changes. ----------------------------------------------------------- See M2a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961249 COLUMNS 5660 - 5660 NUMERIC M2c [RB] (Still on p. 5) This country would have many fewer problems if there were more emphasis on traditional family ties ----------------------------------------------------------- See M2a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961250 COLUMNS 5661 - 5661 NUMERIC M2d [RB] (Still on p. 5) We should be more tolerant of people who choose to live according to their own moral standards, even if they are very different from our own. ----------------------------------------------------------- See M2a for introduction. 1. Agree strongly 2. Agree somewhat 3. Neither agree nor disagree 4. Disagree somewhat 5. Disagree strongly 8. DK 9. NA 0. Inap, no Post IW ============================== M3 Not using the booklet - People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: ----------------------------------------------------------- ============================== VAR M961251 COLUMNS 5662 - 5662 NUMERIC M3a How much of the time do you think you can trust the government in Washington to do what is right-- JUST ABOUT ALWAYS, MOST OF THE TIME, or ONLY SOME OF THE TIME? ----------------------------------------------------------- See M3 for full text. 1. Just about always 2. Most of the time 3. Only some of the time 4. Never [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961252 COLUMNS 5663 - 5663 NUMERIC M4 Do you think that people in government WASTE A LOT of the money we pay in taxes, WASTE SOME OF IT, or DON'T WASTE VERY MUCH of it? ----------------------------------------------------------- See M3 for full text. 1. Waste a lot 3. Waste some 5. Don't waste very much 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961253 COLUMNS 5664 - 5664 NUMERIC M5 Would you say the government is pretty much RUN BY A FEW BIG INTERESTS looking out for themselves or that it is RUN FOR THE BENEFIT OF ALL THE PEOPLE? ----------------------------------------------------------- See M3 for full text. 1. Gov't run by a few big interests 5. Gov't run for the benefit of all 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961254 COLUMNS 5665 - 5665 NUMERIC M6 Do you think that QUITE A FEW of the people running the government are crooked, NOT VERY MANY are, or do you think HARDLY ANY of them are crooked? ----------------------------------------------------------- See M3 for full text. 1. Quite a few are crooked 3. Not very many are crooked 5. Hardly any are crooked 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961255 COLUMNS 5666 - 5666 NUMERIC M7 How much do you feel that having elections makes the government pay attention to what the people think -- A GOOD DEAL, SOME, or NOT MUCH? ----------------------------------------------------------- See M3 for full text. 1. A good deal 3. Some 5. Not much 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961256 COLUMNS 5667 - 5667 NUMERIC M8 Over the years, how much attention do you feel the government pays to what people think when it decides what to do -- A GOOD DEAL, SOME, or NOT MUCH? ----------------------------------------------------------- See M3 for full text. 1. A good deal 3. Some 5. Not much 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961257 COLUMNS 5668 - 5668 NUMERIC N1 Many people say they have less time these days to do volunteer work. What about you, were you able to devote any time to volunteer work in the last 12 months? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961258 COLUMNS 5669 - 5669 NUMERIC N2 Generally speaking, would you say that most people can be trusted, that you can't be too careful in dealing with people? ----------------------------------------------------------- 1. Most people can be trusted 5. You can't be too careful in dealing with people 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961259 COLUMNS 5670 - 5670 NUMERIC N3 Do you think most people would try to take advantage of you if the got the chance or would they try to be fair? ----------------------------------------------------------- 1. Most people would try to take advantage 5. They would try to be fair 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961260 COLUMNS 5671 - 5671 NUMERIC N4 Do you have any neighbors that you know and talk to regularly? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961261 COLUMNS 5672 - 5672 NUMERIC N4a IF R HAS NEIGHBORS THAT R TALKS TO REGULARLY: About how many (do you talk to regularly)? (Would that be JUSE ONE, TWO OR THREE, FOUR OR FIVE, or MORE THAN FIVE?) ----------------------------------------------------------- 1. Just one 2. Two or three 4. Four or five 5. More than five 8. DK 9. NA 0. Inap, 5,8,9 in N4; no Post IW ============================== VAR M961262 COLUMNS 5673 - 5673 NUMERIC N5 If you were selected to serve on a jury, would you be happy to do so or would you rather not serve? ----------------------------------------------------------- 1. Happy to do it 5. Rather not serve 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961263 COLUMNS 5674 - 5674 NUMERIC N6 In the last twelve months, have you worked with others or joined an organization in your community to do something about some community problem? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961264 COLUMNS 5675 - 5675 NUMERIC N7 Many people are finding it more difficult to make contributions to church or charity as much as they used to. How about you, were you able to contribute any money to church or charity in the last 12 months? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961265 COLUMNS 5676 - 5676 NUMERIC N8 Would you say that your personal income tax burden has gone up, gone down, or stayed about the same during Clinton's time as President? ----------------------------------------------------------- 1. Gone up 3. Gone down 5. Stayed about the same 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961266 COLUMNS 5677 - 5677 NUMERIC N8a/N8b IF R'S TAX BURDEN HAS GONE UP DURING CLINTON PRESIDENCY / IF R'S TAX BURDEN HAS GONE DOWN DURING CLINTON PRESIDENCY: N8a. Would you say it has gone up A LOT or A LITTLE? N8b. Would you say it has gone down A LOT or A LITTLE? ----------------------------------------------------------- Built from N8 and N8a/b. 1. Gone up a lot 2. Gone up a little 3. Same (5 in N8) 4. Gone down a little 5. Gone down a lot 8. DK 9. NA 0. Inap, 8,9 in N8; no Post IW ============================== VAR M961267 COLUMNS 5678 - 5678 NUMERIC N10 Some people think that if a company has a history of discriminating against blacks when making hiring decisions, then they should be required to have an affirmative action program that gives blacks preference in hiring. What do you think? Should companies that have discriminated against blacks have to have an affirmative action program? ----------------------------------------------------------- 1. Yes, they should have to have affirmative action 5. No, they should not have to have affirmative action 7. Other (specify) [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961268 COLUMNS 5679 - 5679 NUMERIC N10a/N10b IF R FEELS THAT COMPANIES WHICH HAVE DISCRIMINATED SHOULD HAVE TO HAVE AFFIRMATIVE ACTION / IF R FEELS THAT COMPANIES WHICH HAVE DISCRIMINATED SHOULD NOT HAVE TO HAVE AFFIRMATIVE ACTION: N10a. Do you feel STRONGLY or NOT STRONGLY (that they should have to have affirmative action)? N10b. Do you feel STRONGLY or NOT STRONGLY (that they should not have to have affirmative action)? ----------------------------------------------------------- Built from N10 and N10a/b. 1. Strongly feel should have to have affirmative action 2. Not strongly feel should have to have affirmative action 4. Not strongly feel should not have to have affirmative action 5. Strongly feel should not have to have affirmative action 8. DK 9. NA 0. Inap, 7,8,9 in N10; no Post IW ============================== N11 (Looking at page 6 of the booklet) We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. ----------------------------------------------------------- ============================== VAR M961269 COLUMNS 5680 - 5680 NUMERIC N11a Where would you place yourself on this scale, or haven't you thought much about this? R SELF-PLACEMENT - LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA; Inap, no Post IW 0. Haven't thought much about it ============================== VAR M961270 COLUMNS 5681 - 5681 NUMERIC N11aa IF R PLACED SELF AS 'MODERATE' ON LIBERAL-CONSERVATIVE SCALE / IF R RESPONDED DK OR 'HAVEN'T THOUGHT MUCH' TO PLACEMENT ON LIBERAL-CONSERVATIVE SCALE: If you had to choose, would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 1. Liberal 3. Moderate; middle of the road [vol] 5. Conservative 7. Refuses to choose [vol] 8. DK 9. NA 0. Inap, 1-3, 5-7,9 in N11a; no Post IW ============================== VAR M961271 COLUMNS 5682 - 5682 NUMERIC N11a(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT N11a/N11aa: How certain are you of this? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 9 in N11a; 7,8,9 in N11aa; no Post IW ============================== VAR M961272 COLUMNS 5683 - 5683 NUMERIC N11x SUMMARY - SELF-PLACEMENT ON LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- Built from N11a, N11aa. 1. Liberal (1/2/3,0; 0/4/8,1) 3. Moderate (0/4/8,3; 4,7/8/9) 5. Conservative (5/6/7,0; 0/4/8,5) 7. Refuses to choose (0/8,7) 8. DK (0/8,8) 9. NA to entire question series (NA in N11a) or NA to follow-up question N11aa (0/8,9) 0. Inap, no Post IW ============================== VAR M961273 COLUMNS 5684 - 5684 NUMERIC N11b [RB] Where would you place Clinton on this scale? CLINTON PLACEMENT - LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of Clinton, Dole and Perot in N11b-d randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961274 COLUMNS 5685 - 5685 NUMERIC N11b(1) IF R HAS PLACED CLINTON ON LIBERAL-CONSERVATIVE SCALE: How certain are you of Clinton's position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in N11b; no Post IW ============================== VAR M961275 COLUMNS 5686 - 5686 NUMERIC N11c [RB] Where would you place Dole on this scale? DOLE PLACEMENT - LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of Clinton, Dole and Perot in N11b-d randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961276 COLUMNS 5687 - 5687 NUMERIC N11c(1) IF R HAS PLACED DOLE ON LIBERAL-CONSERVATIVE SCALE: How certain are you of Dole's position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in N11c; no Post IW ============================== VAR M961277 COLUMNS 5688 - 5688 NUMERIC N11e IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #31, #33, #35] on this scale? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of House candidates in N11e-N11f randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA 0. Inap, 7,8,9 in N11x; no Democratic House candidate (type race 24); Washington DC; no Post IW ============================== VAR M961278 COLUMNS 5689 - 5689 NUMERIC N11e(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED DEMOCRATIC HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you of [NAME #31,#33,#35]'s position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in N11e; 7,8,9 in N11x; no Democratic House candidate (type race 24); Washington DC; no Post IW ============================== VAR M961279 COLUMNS 5690 - 5690 NUMERIC N11f IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #32, #34, #36] on this scale? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of House candidates in N11e-N11f randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Extremely liberal 2. Liberal 3. Slightly liberal 4. Moderate 5. Slightly conservative 6. Conservative 7. Extremely conservative 8. DK 9. NA 0. Inap, 7,8,9 in N11x; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961280 COLUMNS 5691 - 5691 NUMERIC N11f(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED REPUBLICAN HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you of [NAME #32,#34,#36]'s position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 1. Very certain 3. Pretty certain 5. Not very certain 8. DK 9. NA 0. Inap, 8,9 in N11f; 7,8,9 in N11x; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR M961281 COLUMNS 5692 - 5692 NUMERIC N12 Do you feel you are asked to pay much more than you should in federal income taxes, somewhat more than you should, about the right amount, or less than you should? ----------------------------------------------------------- 1. Much more 2. Somewhat more 3. About right 4. Less than should 7. Don't pay at all [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961282 COLUMNS 5693 - 5693 NUMERIC N13 Some political leaders think federal income taxes should be cut by 15% over the next three years. Other political leaders think this would be a bad policy for the government to follow. Do you have an opinion on this matter, or haven't you thought much about this? ----------------------------------------------------------- 1. Yes, have an opinion 5. No, no opinion 7. Haven't thought much about this 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961283 COLUMNS 5694 - 5694 NUMERIC N14 IF R HAS OPINION ABOUT 15% TAX CUT: [RB] Looking on page 7 of the booklet, which of these statements best describes what you would like to see happen over the next three years? Over the next three years, federal income taxes: R'S POSITION - TAX CUT ----------------------------------------------------------- 1. Should not be cut 2. Should be cut by 10% 3. Should be cut by 15% 4. Should be cut by 20% 5. Should be cut by 30% 6. Should be cut by more than 30% 8. DK 9. NA 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR M961284 COLUMNS 5695 - 5695 NUMERIC N14a IF R HAS OPINION ABOUT 15% TAX CUT: (Still looking at the booklet, what do you think is) Clinton's position? (On a tax cut?) CLINTON POSITION - TAX CUT ----------------------------------------------------------- See N14 for introductory text. Order of Clinton, Dole and Perot in N14a-N14c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Should not be cut 2. Should be cut by 10% 3. Should be cut by 15% 4. Should be cut by 20% 5. Should be cut by 30% 6. Should be cut by more than 30% 8. DK 9. NA 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR M961285 COLUMNS 5696 - 5696 NUMERIC N14b IF R HAS OPINION ABOUT 15% TAX CUT: (Still looking at the booklet, what do you think is) Dole's position? (On a tax cut?) DOLE POSITION - TAX CUT ----------------------------------------------------------- See N14 for introductory text. Order of Clinton, Dole and Perot in N14a-N14c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Should not be cut 2. Should be cut by 10% 3. Should be cut by 15% 4. Should be cut by 20% 5. Should be cut by 30% 6. Should be cut by more than 30% 8. DK 9. NA 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR M961286 COLUMNS 5697 - 5697 NUMERIC N14c IF R HAS OPINION ABOUT 15% TAX CUT: (Still looking at the booklet, what do you think is) Perot's position? (On a tax cut?) PEROT POSITION - TAX CUT ----------------------------------------------------------- See N14 for introductory text. Order of Clinton, Dole and Perot in N14a-N14c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Should not be cut 2. Should be cut by 10% 3. Should be cut by 15% 4. Should be cut by 20% 5. Should be cut by 30% 6. Should be cut by more than 30% 8. DK 9. NA 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR M961287 COLUMNS 5698 - 5698 NUMERIC N15 IF R HAS OPINION ABOUT 15% TAX CUT: There has been a great deal of talk about the probable effects of a 15% reduction of federal income taxes over the next three years. Have you read or heard anything about this? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR M961288 COLUMNS 5699 - 5699 NUMERIC N16a IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: I am going to read a few of these ideas, and I would like you to tell me whether you think they would or would not happen. If federal income taxes were reduced by 15%, inflation would get worse. Do you think this would or would not happen? ----------------------------------------------------------- 1. Would happen 5. Would not happen 8. DK 9. NA 0. Inap, 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR M961289 COLUMNS 5700 - 5700 NUMERIC N16b IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: More people would be employed. (Do you think this would or would happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 1. Would happen 5. Would not happen 8. DK 9. NA 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR M961290 COLUMNS 5701 - 5701 NUMERIC N16c IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: Most of the savings would go to business and not to the ordinary taxpayer like me. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 1. Would happen 5. Would not happen 8. DK 9. NA 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR M961291 COLUMNS 5702 - 5702 NUMERIC N16d IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: Government programs and services would be cut back to get along on less money. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 1. Would happen 5. Would not happen 8. DK 9. NA 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR M961292 COLUMNS 5703 - 5703 NUMERIC N16e IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: Government deficit spending would go up. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 1. Would happen 5. Would not happen 8. DK 9. NA 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR M961293 COLUMNS 5704 - 5704 NUMERIC N16f IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: The government would receive about the same amount of tax money as now because the economy would be stronger. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 1. Would happen 5. Would not happen 8. DK 9. NA 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== P1 Looking at page 8 of the booklet, here is a list of groups. Please read over the list and tell me the number for those groups you feel particularly close to -- people who are most like you in their ideas and interests and feelings about things. ----------------------------------------------------------- ============================== VAR M961294 COLUMNS 5705 - 5705 NUMERIC P1a [RB] GROUPS R FEELS CLOSE TO 'POOR PEOPLE' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961295 COLUMNS 5706 - 5706 NUMERIC P1b [RB] GROUPS R FEELS CLOSE TO 'ASIAN-AMERICANS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961296 COLUMNS 5707 - 5707 NUMERIC P1c [RB] GROUPS R FEELS CLOSE TO 'LIBERALS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961297 COLUMNS 5708 - 5708 NUMERIC P1d [RB] GROUPS R FEELS CLOSE TO 'THE ELDERLY' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961298 COLUMNS 5709 - 5709 NUMERIC P1e [RB] GROUPS R FEELS CLOSE TO 'BLACKS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961299 COLUMNS 5710 - 5710 NUMERIC P1f [RB] GROUPS R FEELS CLOSE TO 'LABOR UNIONS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961300 COLUMNS 5711 - 5711 NUMERIC P1g [RB] GROUPS R FEELS CLOSE TO 'FEMINISTS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961301 COLUMNS 5712 - 5712 NUMERIC P1h [RB] GROUPS R FEELS CLOSE TO 'SOUTHERNERS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961302 COLUMNS 5713 - 5713 NUMERIC P1j [RB] GROUPS R FEELS CLOSE TO 'BUSINESS PEOPLE' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961303 COLUMNS 5714 - 5714 NUMERIC P1k [RB] GROUPS R FEELS CLOSE TO 'YOUNG PEOPLE' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961304 COLUMNS 5715 - 5715 NUMERIC P1m [RB] GROUPS R FEELS CLOSE TO 'CONSERVATIVES' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961305 COLUMNS 5716 - 5716 NUMERIC P1n [RB] GROUPS R FEELS CLOSE TO 'HISPANIC AMERICANS' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961306 COLUMNS 5717 - 5717 NUMERIC P1p [RB] GROUPS R FEELS CLOSE TO 'WOMEN' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961307 COLUMNS 5718 - 5718 NUMERIC P1q [RB] GROUPS R FEELS CLOSE TO 'WORKING-CLASS PEOPLE' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961308 COLUMNS 5719 - 5719 NUMERIC P1r [RB] GROUPS R FEELS CLOSE TO 'WHITES' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961309 COLUMNS 5720 - 5720 NUMERIC P1s [RB] GROUPS R FEELS CLOSE TO 'MIDDLE-CLASS PEOPLE' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== VAR M961310 COLUMNS 5721 - 5721 NUMERIC P1t [RB] GROUPS R FEELS CLOSE TO 'MEN' ----------------------------------------------------------- See P1 for full text. 1. Mentioned/marked 5. Not mentioned/marked 8. Refused entire series 9. DK/NA to entire series 0. Inap, no Post IW ============================== P2 (Turning to page 9 of the booklet) Now I have some questions about different groups in our society. I'm going to show you a seven-point scale on which the characteristics of the people in a group can be rated. ----------------------------------------------------------- ============================== VAR M961311 COLUMNS 5722 - 5722 NUMERIC P2a [RB] In the first statement a score of 1 means that you think almost all of the people in that group tend to be "hard-working." A score of 7 means that you think most people in the group are "lazy." A score of 4 means that you think that most people in the group are not closer to one end or the other, and of course, you may choose any number in between. Where would you rate whites in general on this scale (hard-working)? 'HARDWORKING' - WHITES ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P2b and P2c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Hardworking 2. 3. 4. 5. 6. 7. Lazy 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961312 COLUMNS 5723 - 5723 NUMERIC P2b [RB] (Where would you rate) Blacks? 'HARDWORKING' -BLACKS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P2b and P2c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Hardworking 2. 3. 4. 5. 6. 7. Lazy 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961313 COLUMNS 5724 - 5724 NUMERIC P2c [RB] (Where would you rate) Hispanic-Americans? 'HARDWORKING' -Hispanic-Americans ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P2b and P2c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Hardworking 2. 3. 4. 5. 6. 7. Lazy 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961314 COLUMNS 5725 - 5725 NUMERIC P3a The next set asks if people in each group tend to be "intelligent" or "unintelligent" Turning to page 10 of the booklet: (Where would you rate) Whites (in general on this scale)? 'INTELLIGENT' - WHITES ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P3b and P3c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Intelligent 2. 3. 4. 5. 6. 7. Unintelligent 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961315 COLUMNS 5726 - 5726 NUMERIC P3b [RB] (Still on page 10) (Where would you rate) Blacks? 'INTELLIGENT' - BLACKS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P3b and P3c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Intelligent 2. 3. 4. 5. 6. 7. Unintelligent 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961316 COLUMNS 5727 - 5727 NUMERIC P3c [RB] (Still on page 10) (Where would you rate) Hispanic-Americans? 'INTELLIGENT' - HISPANIC AMERICANS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P3b and P3c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Intelligent 2. 3. 4. 5. 6. 7. Unintelligent 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961317 COLUMNS 5728 - 5728 NUMERIC P4a Do people in these groups tend to be "trustworthy" or do they tend to be "not trustworthy"? Turning to page 11 of the booklet: (Where would you rate) Whites (in general on this scale)? 'TRUSTWORTHY' - WHITES ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P4b and P4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Trustworthy 2. 3. 4. 5. 6. 7. Untrustworthy 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961318 COLUMNS 5729 - 5729 NUMERIC P4b [RB] (Still on page 11) (Where would you rate) Blacks? 'TRUSTWORTHY' - BLACKS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P4b and P4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Trustworthy 2. 3. 4. 5. 6. 7. Untrustworthy 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961319 COLUMNS 5730 - 5730 NUMERIC P4c [RB] (Still on page 11) (Where would you rate) Hispanic-Americans? 'TRUSTWORTHY' - HISPANIC AMERICANS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P4b and P4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 1. Trustworthy 2. 3. 4. 5. 6. 7. Untrustworthy 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961320 COLUMNS 5731 - 5731 NUMERIC P5 Turning to page 12 of the booklet: Some people think that the government in Washington ought to reduce income differences between the rich and the poor. Suppose these people are at one end of a scale at point 1. Other people think that the government should not concern itself with reducing income different between the rich and the poor. Suppose these people are at the other end of a scale at point 7. And, of course, some other people have opinions at points 2, 3, 4, 5, and 6. Where would you place yourself on this scale or haven't you thought much about this? R'S POSITION - REDUCE DIFFERENCES BETWEEN RICH AND POOR 7-POINT SCALE ----------------------------------------------------------- 1. Reduce differences between rich and poor 2. 3. 4. 5. 6. 7. Govt should not concern itself 8. DK 9. NA; Inap, no Post IW 0. Haven't thought much about it ============================== VAR M961321 COLUMNS 5732 - 5732 NUMERIC Q1 (Not using the booklet) Some people have proposed that a woman on welfare who has another child not be given an increase in her welfare check. Do you FAVOR or OPPOSE this change in welfare policy? ----------------------------------------------------------- 1. Favor 5. Oppose 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961322 COLUMNS 5733 - 5733 NUMERIC Q1a/Q1b IF R FAVORS LAW THAT WOULD NOT ALLOW INCREASE IN WELFARE PAYMENTS FOR ADDITIONAL CHILDREN / IF R OPPOSES LAW THAT WOULD NOT ALLOW INCREASE IN WELFARE PAYMENTS FOR ADDITIONAL CHILDREN: Q1a. Do you favor this change STRONGLY or NOT STRONGLY? Q1b. Do you oppose this change STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 1. Favor strongly 2. Favor not strongly 4. Oppose strongly 5. Oppose not strongly 8. DK 9. NA 0. Inap, 8,9 in Q1; no Post IW ============================== VAR M961323 COLUMNS 5734 - 5734 NUMERIC Q2 Another proposal is to put a two year limit on how long someone can receive welfare benefits. Do you FAVOR or OPPOSE this two year limit? ----------------------------------------------------------- 1. Favor 5. Oppose 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961324 COLUMNS 5735 - 5735 NUMERIC Q2a/Q2b IF R FAVORS 2-YEAR LIMIT ON WELFARE BENEFITS/ IF R OPPOSES 2-YEAR LIMIT ON WELFARE BENEFITS: Q2a. Do you favor the two year limit STRONGLY or NOT STRONGLY? Q2b. Do you oppose the two year limit STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 1. Favor strongly 2. Favor not strongly 4. Oppose not strongly 5. Oppose strongly 8. DK 9. NA 0. Inap, 8,9 in Q2; no Post IW ============================== VAR M961325 COLUMNS 5736 - 5736 NUMERIC Q3 Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be INCREASED A LOT, INCREASED A LITTLE, LEFT THE SAME as it is now, DECREASED A LITTLE, or DECREASED A LOT? ----------------------------------------------------------- 1. Increased a lot 2. Increased a little 3. Left the same as it is now 4. Decreased a little 5. Decreased a lot 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961326 COLUMNS 5737 - 5737 NUMERIC Q4 Do you think that immigrants who come to the U.S. should be eligible as soon as they come here for government services such as Medicaid, Food Stamps, Welfare, or should they have to be here a year or more? ----------------------------------------------------------- 1. Eligible as soon as they come here 5. Have to wait a year 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961327 COLUMNS 5738 - 5738 NUMERIC Q5 Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this? ----------------------------------------------------------- 1. Favor 5. Oppose 8. DK 9. NA; Inap, no Post IW 0. Haven't thought much about this ============================== VAR M961328 COLUMNS 5739 - 5740 NUMERIC Q6 Which of the network news programs do you watch most often -- "World News Tonight" on ABC, "NBC Nightly News," "The CBS Evening News," or some other network news program? ----------------------------------------------------------- 1. ABC World News Tonight 2. NBC Nightly News 3. The CBS Evening News 4. CNN [VOL] 5. Local news only [VOL] 6. R gave number or call letters of TV channel (NFS) [VOL] 7. R mentions multiple news programs or multiple channels; "watch them all" [VOL] 8. 'MacNeil/Lehrer' or 'News Hour with Jim Lehrer' or PBS [VOL] 9. Don't have/don't watch TV [VOL] 10. Watch no network news program [VOL] 11. "Watch whatever is on" [VOL] 12. Other (specify) [VOL] 98. DK 99. NA 00. Inap, no Post IW ============================== VAR M961329 COLUMNS 5741 - 5741 NUMERIC Q7 Did you watch the first televised presidential debate held on October 6, 1996 between Bill Clinton and Bob Dole? ----------------------------------------------------------- 1. Yes, watched 5. No, didn't watch 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961330 COLUMNS 5742 - 5742 NUMERIC Q7a IF R WATCHED FIRST PRESIDENTIAL DEBATE: Did you watch the entire debate or just part of it? ----------------------------------------------------------- 1. Watched entire debate 5. Just part of it 8. DK 9. NA 0. Inap, 5,8,9 in Q7; no Post IW ============================== VAR M961331 COLUMNS 5743 - 5743 NUMERIC Q8 Did you watch the second televised presidential debate held on October 16, 1996 between Bill Clinton and Bob Dole? ----------------------------------------------------------- 1. Yes, watched 5. No, didn't watch 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961332 COLUMNS 5744 - 5744 NUMERIC Q8a IF R WATCHED SECOND PRESIDENTIAL DEBATE: Did you watch the entire debate or just part of it? ----------------------------------------------------------- 1. Watched entire debate 5. Just part of it 8. DK 9. NA 0. Inap, 5,8,9 in Q8; no post IW ============================== VAR M961333 COLUMNS 5745 - 5745 NUMERIC Q9 Did you read about the campaign in any magazines? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961334 COLUMNS 5746 - 5746 NUMERIC Q9a IF R READ ABOUT THE CAMPAIGN IN MAGAZINES: [RB, P. 13] How much attention did you pay to magazine articles about the campaign for President -- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. Very little 5. None 8. DK 9. NA 0. Inap, 5,8,9 in Q9; no Post IW ============================== VAR M961335 COLUMNS 5747 - 5747 NUMERIC Q10 Did you listen to any speeches or discussions about the campaign on the radio? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961336 COLUMNS 5748 - 5748 NUMERIC Q10a IF R LISTENED TO ANY SPEECHES OR DISCUSSION ABOUT THE CAMPAIGN ON THE RADIO: Would you say you listened to A GOOD MANY, SEVERAL, or JUST ONE OR TWO? ----------------------------------------------------------- 1. A good many 3. Several 5. Just one or two 8. DK 9. NA 0. Inap, 5,8,9 in Q10; no Post IW ============================== VAR M961337 COLUMNS 5749 - 5749 NUMERIC Q11 Looking again at p. 13 in the booklet: In general, how much attention did you pay to news about the campaign for President -- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. Very little 5. None 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961338 COLUMNS 5750 - 5750 NUMERIC Q12 (Still on p. 13 in the booklet) In general, how much attention did you pay to news about the campaigns for election to Congress -- that is, the House of Representatives in Washington -- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 1. A great deal 2. Quite a bit 3. Some 4. Very little 5. None 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961339 COLUMNS 5751 - 5751 NUMERIC Q13 (Not using the booklet) How much of the time do you think you can trust the media to report the news fairly? JUST ABOUT ALWAYS, MOST OF THE TIME, ONLY SOME OF THE TIME, or ALMOST NEVER? ----------------------------------------------------------- 1. Just about always 2. Most of the time 3. Only some of the time 4. Almost never 5. None of the time [VOL] 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961340 COLUMNS 5752 - 5752 NUMERIC Q14 Looking at page 14 of the booklet: Here is a question about political parties. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose: 1. A CONTINUATION OF THE TWO-PARTY SYSTEM OF DEMOCRATS AND REPUBLICANS 2. ELECTIONS IN WHICH CANDIDATES RUN AS INDIVIDUALS WITHOUT PARTY LABELS 3. THE GROWTH OF ONE OR MORE PARTIES THAT COULD EFFECTIVELY CHALLENGE THE DEMOCRATS AND REPUBLICANS ----------------------------------------------------------- 1. A continuation of the two party system of Democrats and Republicans 2. Elections in which candidates run as individuals without party labels 3. The growth of one or more parties that could effectively challenge the Democrats and Republicans 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961341 COLUMNS 5753 - 5753 NUMERIC R1 (Not using the booklet) In terms of general attitudes and beliefs, how similar would you say other people are to you-- VERY SIMILAR, SOMEWHAT SIMILAR, NOT VERY SIMILAR, or NOT AT ALL SIMMIILAR ----------------------------------------------------------- 1. Very similar 2. Somewhat similar 3. Not very similar 4. Not at all similar 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961342 COLUMNS 5754 - 5754 NUMERIC R2 Are you a smoker? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961343 COLUMNS 5755 - 5755 NUMERIC R2a IF R IS NOT A SMOKER: Have you ever smoked? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 1 in R2; no Post IW ============================== VAR M961344 R3 There are many types of organizations, groups, and charities that people might be involved with. We're interested in what kinds of groups you might be involved with. I'm going to read you a list of different types of organizations. For each type, could you tell me the name or names of the organizations you are involved with? ----------------------------------------------------------- THIS TEXT BEGINS THE SET OF QUESTIONS R3-R7w ('GROUPS'). Variables V961344-V961453 document the questions asked about 22 categories of groups. Variables V961454-V961458 are comprehensive summaries about all 22 categories of groups. For each of the 22 group categories (e.g. Labor Unions), the following are determined: 1) How many groups from this category R is involved with (up to 4 mentions); 2) Membership in the groups from this category; 3) Payment of dues/contributions to the groups from this category; 4) Participation in activities/meetings of the groups from this category; 5) How often politics is discussed by the groups from this category; For every group category, there are 5 category summary variables which correspond to 1)-5) above. Each of the category summary variables is descriptive of all mentions (up to 4 specific groups) for the particular category. These variables are documented below. GROUP CATEGORY VARIABLES Labor unions V961344-V961348 Business/work V961349-V961353 Veterans V961354-V961358 Church/syn. V961359-V961363 Other religious V961364-V961368 Elderly/senior V961369-V961373 Ethnic V961374-V961378 Women's V961379-V961383 Polit. issue V961384-V961388 Nonpart. Civic V961389-V961393 Liberal or Cons. V961394-V961398 Pol. Pty/Cand V961399-V961403 Children's V961404-V961408 Literary, Art V961409-V961413 Hobby V961414-V961418 Neighborhood V961419-V961423 Fraternal V961424-V961428 Service Needy V961429-V961433 Educational V961434-V961438 Cultural V961439-V961443 Self-Help V961444-V961448 Other V961449-V961553 [Note: For users who are interested in data for the individual groups-- Group1, Group2, Group3, Group4-- comprising a group category, the specific responses to the dues, activities, and political discussion questions [2) to 4) above] for each specific group within a category can be obtained using the procedure described in the special Appendix, "ACCESSING GROUP-SPECIFIC POST DATA (SECTION R)." Note that the textual identifications of the Group1, Group2, Group3 and Group4 mentions are not available, but that the identities of Our first type of group is labor unions. (Are you involved with any labor unions?) Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF LABOR UNIONS MENTIONED ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961345 COLUMNS 5757 - 5760 NUMERIC R4a IF R IS INVOLVED WITH ANY LABOR UNIONS: How about the [NAME OF GROUP]? Are you a member of this group? LABOR UNION MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1,2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3a) 9999. Inap, no Post IW ============================== VAR M961346 COLUMNS 5761 - 5764 NUMERIC R5a IF R IS INVOLVED WITH ANY LABOR UNIONS: In the past 12 months have you paid dues or given any money to this group? LABOR UNION MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any labor unions (0,8,9 in R3a) 9999. Inap, no Post IW ============================== VAR M961347 COLUMNS 5769 - 5772 NUMERIC R6a IF R IS INVOLVED WITH ANY LABOR UNIONS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? LABOR UNION MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has attended a meeting and/or taken part in any activities. 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any labor unions (0,8,9 in R3a) 9999. Inap, no Post IW ============================== VAR M961348 COLUMNS 5777 - 5780 NUMERIC R7a IF R IS INVOLVED WITH ANY LABOR UNIONS: How often does this group discuss politics-- often, sometimes, rarely or never? LABOR UNION MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if politics is discussed "often" or "sometimes." 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1,2 and 4 134. Groups 1, 3 and 4 234. Groups 2,3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any labor unions (0,8,9 in R3a) 9999. Inap, no post IW ============================== VAR M961349 COLUMNS 5785 - 5785 NUMERIC R3b How about other organizations associated with your work such as a business or professional association or a farm organization? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF BUSINESS OR WORK-RELATED GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961350 COLUMNS 5786 - 5789 NUMERIC R4b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? BUSINESS OR WORK-RELATED GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 9999. Inap, no Post IW ============================== VAR M961351 COLUMNS 5790 - 5793 NUMERIC R5b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: In the past 12 months have you paid dues or given any money to this group? BUSINESS OR WORK-RELATED GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 9999. Inap, no Post IW ============================== VAR M961352 COLUMNS 5798 - 5801 NUMERIC R6b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? BUSINESS OR WORK-RELATED GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 9999. Inap, no Post IW ============================== VAR M961353 COLUMNS 5806 - 5809 NUMERIC R7b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? BUSINESS OR WORK-RELATED MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 9999. Inap, no Post IW ============================== VAR M961354 COLUMNS 5814 - 5814 NUMERIC R3c Veterans organizations such as the American Legion or the Veterans of Foreign wars? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF VETERANS GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961355 COLUMNS 5815 - 5818 NUMERIC R4c IF R IS INVOLVED WITH ANY VETERANS GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? VETERANS GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 9999. Inap, no Post IW ============================== VAR M961356 COLUMNS 5819 - 5822 NUMERIC R5c IF R IS INVOLVED WITH ANY VETERANS GROUPS: In the past 12 months have you paid dues or given any money to this group? VETERANS GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 9999. Inap, no Post IW ============================== VAR M961357 COLUMNS 5827 - 5830 NUMERIC R6c IF R IS INVOLVED WITH ANY VETERANS GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? VETERANS GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 9999. Inap, no Post IW ============================== VAR M961358 COLUMNS 5835 - 5838 NUMERIC R7c IF R IS INVOLVED WITH ANY VETERANS GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? VETERANS GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 9999. Inap, no Post IW ============================== VAR M961359 COLUMNS 5843 - 5843 NUMERIC R3d Are you a member of a local church, parish or synagogue? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CHURCH/PARISH/SYNAGOGUE MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961360 COLUMNS 5844 - 5847 NUMERIC R4d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: How about the [NAME OF GROUP]? Are you a member of this group? CHURCH/PARISH/SYNAGOGUE MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 9999. Inap, no Post IW ============================== VAR M961361 COLUMNS 5848 - 5851 NUMERIC R5d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: In the past 12 months have you paid dues or given any money to this group? CHURCH/PARISH/SYNAGOGUE MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 9999. Inap, no Post IW ============================== VAR M961362 COLUMNS 5856 - 5859 NUMERIC R6d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CHURCH/PARISH/SYNAGOGUE MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 9999. Inap, no Post IW ============================== VAR M961363 COLUMNS 5864 - 5867 NUMERIC R7d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: How often does this group discuss politics-- often, sometimes, rarely or never? CHURCH/PARISH/SYNAGOGUE MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 9999. Inap, no Post IW ============================== VAR M961364 COLUMNS 5872 - 5872 NUMERIC R3e How about other organizations such affiliated with your religion besides that, such as the Knights of Columbus or B'nai B'rith, or a bible study group? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF OTHER RELIGIOUS GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961365 COLUMNS 5873 - 5876 NUMERIC R4e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? OTHER RELIGIOUS GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 9999. Inap, no Post IW ============================== VAR M961366 COLUMNS 5877 - 5880 NUMERIC R5e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: In the past 12 months have you paid dues or given any money to this group? OTHER RELIGIOUS GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 9999. Inap, no Post IW ============================== VAR M961367 COLUMNS 5885 - 5888 NUMERIC R6e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? OTHER RELIGIOUS GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 9999. Inap, no Post IW ============================== VAR M961368 COLUMNS 5893 - 5896 NUMERIC R7e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? OTHER RELIGIOUS GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 9999. Inap, no Post IW ============================== VAR M961369 COLUMNS 5901 - 5901 NUMERIC R3f Organizations for the elderly or senior citizens? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF ELDERLY/SENIOR GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961370 COLUMNS 5902 - 5905 NUMERIC R4f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? ELDERLY/SENIOR GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 9999. Inap, no Post IW ============================== VAR M961371 COLUMNS 5906 - 5909 NUMERIC R5f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: In the past 12 months have you paid dues or given any money to this group? ELDERLY/SENIOR GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 9999. Inap, no Post IW ============================== VAR M961372 COLUMNS 5914 - 5917 NUMERIC R6f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? ELDERLY/SENIOR GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 9999. Inap, no Post IW ============================== VAR M961373 COLUMNS 5922 - 5925 NUMERIC R7f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? ELDERLY/SENIOR GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 9999. Inap, no Post IW ============================== VAR M961374 COLUMNS 5930 - 5930 NUMERIC R3g Organizations representing your own particular nationality or ethnic group such as the Polish-American Congress, the Mexican-American Legal Defense, or the National Association for the Advancement of Colored People? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF ETHNIC/NATIONALITY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961375 COLUMNS 5931 - 5934 NUMERIC R4g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? ETHNIC/NATIONALITY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 9999. Inap, no Post IW ============================== VAR M961376 COLUMNS 5935 - 5938 NUMERIC R5g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: In the past 12 months have you paid dues or given any money to this group? ETHNIC/NATIONALITY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 9999. Inap, no Post IW ============================== VAR M961377 COLUMNS 5943 - 5946 NUMERIC R6g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? ETHNIC/NATIONALITY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 9999. Inap, no Post IW ============================== VAR M961378 COLUMNS 5951 - 5954 NUMERIC R7g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? ETHNIC/NATIONALITY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 9999. Inap, no Post IW ============================== VAR M961379 COLUMNS 5959 - 5959 NUMERIC R3h Organizations mainly interested in issues promoting the rights or the welfare of women -- an organization such as the National Organization for women, or the Eagle Forum, or the American Association of University Women? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF WOMEN'S GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961380 COLUMNS 5960 - 5963 NUMERIC R4h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? WOMEN'S GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 9999. Inap, no Post IW ============================== VAR M961381 COLUMNS 5964 - 5967 NUMERIC R5h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: In the past 12 months have you paid dues or given any money to this group? WOMEN'S GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 9999. Inap, no Post IW ============================== VAR M961382 COLUMNS 5972 - 5975 NUMERIC R6h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? WOMEN'S GROUPS MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 9999. Inap, no Post IW ============================== VAR M961383 COLUMNS 5980 - 5983 NUMERIC R7h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? WOMEN'S GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 9999. Inap, no Post IW ============================== VAR M961384 COLUMNS 5988 - 5988 NUMERIC R3i Organizations active on any particular political issues such as the environment or abortion (on either side), or gun control (on either side) or consumer's rights, or the rights of taxpayers or any other issues? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF POLITICAL ISSUE GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961385 COLUMNS 5989 - 5992 NUMERIC R4i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? POLITICAL ISSUE GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 9999. Inap, no Post IW ============================== VAR M961386 COLUMNS 5993 - 5996 NUMERIC R5i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: In the past 12 months have you paid dues or given any money to this group? POLITICAL ISSUE GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 9999. Inap, no Post IW ============================== VAR M961387 COLUMNS 6001 - 6004 NUMERIC R6i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? POLITICAL ISSUE GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 9999. Inap, no Post IW ============================== VAR M961388 COLUMNS 6009 - 6012 NUMERIC R7i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? POLITICAL ISSUE GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 9999. Inap, no Post IW ============================== VAR M961389 COLUMNS 6017 - 6017 NUMERIC R3j Nonpartisan civic organizations interested in the political life of the community or nation --such as the League of Women's Voters or a better government association? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CIVIC GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961390 COLUMNS 6018 - 6021 NUMERIC R4j IF R IS INVOLVED WITH ANY CIVIC GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CIVIC GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 9999. Inap, no Post IW ============================== VAR M961391 COLUMNS 6022 - 6025 NUMERIC R5j IF R IS INVOLVED WITH ANY CIVIC GROUPS: In the past 12 months have you paid dues or given any money to this group? CIVIC GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 9999. Inap, no Post IW ============================== VAR M961392 COLUMNS 6030 - 6033 NUMERIC R6j IF R IS INVOLVED WITH ANY CIVIC GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CIVIC GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 9999. Inap, no Post IW ============================== VAR M961393 COLUMNS 6038 - 6041 NUMERIC R7j IF R IS INVOLVED WITH ANY CIVIC GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CIVIC GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 9999. Inap, no Post IW ============================== VAR M961394 COLUMNS 6046 - 6046 NUMERIC R3k Organizations that support general liberal or conservative causes such as Americans for Democratic Action or the Conservative Caucus? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF LIBERAL OR CONSERVATIVE GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961395 COLUMNS 6047 - 6050 NUMERIC R4k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? LIBERAL OR CONSERVATIVE GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 9999. Inap, no Post IW ============================== VAR M961396 COLUMNS 6051 - 6054 NUMERIC R5k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: In the past 12 months have you paid dues or given any money to this group? LIBERAL OR CONSERVATIVE GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 9999. Inap, no Post IW ============================== VAR M961397 COLUMNS 6059 - 6062 NUMERIC R6k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? LIBERAL OR CONSERVATIVE GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 9999. Inap, no Post IW ============================== VAR M961398 COLUMNS 6067 - 6070 NUMERIC R7k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? LIBERAL OR CONSERVATIVE GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 9999. Inap, no Post IW ============================== VAR M961399 COLUMNS 6075 - 6075 NUMERIC R3L Organizations active in supporting candidates for elections such as a political party organization? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CANDIDATE SUPPORT GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961400 COLUMNS 6076 - 6079 NUMERIC R4L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CANDIDATE SUPPORT GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 9999. Inap, no Post IW ============================== VAR M961401 COLUMNS 6080 - 6083 NUMERIC R5L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: In the past 12 months have you paid dues or given any money to this group? CANDIDATE SUPPORT GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 9999. Inap, no Post IW ============================== VAR M961402 COLUMNS 6088 - 6091 NUMERIC R6L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CANDIDATE SUPPORT GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 9999. Inap, no Post IW ============================== VAR M961403 COLUMNS 6096 - 6099 NUMERIC R7L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CANDIDATE SUPPORT GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 9999. Inap, no Post IW ============================== VAR M961404 COLUMNS 6104 - 6104 NUMERIC R3m Groups in which children might participate, such as Girl Scouts, 4-H, youth sports leagues such as soccer or Little League? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CHILDREN' ACTIVITY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961405 COLUMNS 6105 - 6108 NUMERIC R4m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CHILDREN' ACTIVITY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 9999. Inap, no Post IW ============================== VAR M961406 COLUMNS 6109 - 6112 NUMERIC R5m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: In the past 12 months have you paid dues or given any money to this group? CHILDREN' ACTIVITY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 9999. Inap, no Post IW ============================== VAR M961407 COLUMNS 6117 - 6120 NUMERIC R6m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CHILDREN' ACTIVITY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 9999. Inap, no Post IW ============================== VAR M961408 COLUMNS 6125 - 6128 NUMERIC R7m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CHILDREN' ACTIVITY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 9999. Inap, no Post IW ============================== VAR M961409 COLUMNS 6133 - 6133 NUMERIC R3n Literary, art, discussion or study groups? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF LITERARY/ ART/ DISCUSSION GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961410 COLUMNS 6134 - 6137 NUMERIC R4n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? LITERARY/ ART/ DISCUSSION GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 9999. Inap, no Post IW ============================== VAR M961411 COLUMNS 6138 - 6141 NUMERIC R5n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: In the past 12 months have you paid dues or given any money to this group? LITERARY/ ART/ DISCUSSION GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 9999. Inap, no Post IW ============================== VAR M961412 COLUMNS 6146 - 6149 NUMERIC R6n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? LITERARY/ ART/ DISCUSSION GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 9999. Inap, no Post IW ============================== VAR M961413 COLUMNS 6154 - 6157 NUMERIC R7n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? LITERARY/ ART/ DISCUSSION GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 9999. Inap, no Post IW ============================== VAR M961414 COLUMNS 6162 - 6162 NUMERIC R3p Hobby clubs, sports or country clubs, bowling leagues, or other groups for leisure time activities? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF HOBBY/ SPORTS GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961415 COLUMNS 6163 - 6166 NUMERIC R4p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? HOBBY/ SPORTS GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 9999. Inap, no Post IW ============================== VAR M961416 COLUMNS 6167 - 6170 NUMERIC R5p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: In the past 12 months have you paid dues or given any money to this group? HOBBY/ SPORTS GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 9999. Inap, no Post IW ============================== VAR M961417 COLUMNS 6175 - 6178 NUMERIC R6p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? HOBBY/ SPORTS GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 9999. Inap, no Post IW ============================== VAR M961418 COLUMNS 6183 - 6186 NUMERIC R7p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? HOBBY/ SPORTS GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 9999. Inap, no Post IW ============================== VAR M961419 COLUMNS 6191 - 6191 NUMERIC R3q Associations related to where you live --neighborhood or community associations, homeowners' or condominium associations, or block clubs? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961420 COLUMNS 6192 - 6195 NUMERIC R4q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 9999. Inap, no Post IW ============================== VAR M961421 COLUMNS 6196 - 6199 NUMERIC R5q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: In the past 12 months have you paid dues or given any money to this group? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 9999. Inap, no Post IW ============================== VAR M961422 COLUMNS 6204 - 6207 NUMERIC R6q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 9999. Inap, no Post IW ============================== VAR M961423 COLUMNS 6212 - 6215 NUMERIC R7q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 9999. Inap, no Post IW ============================== VAR M961424 COLUMNS 6220 - 6220 NUMERIC R3r Service or fraternal organizations such as the Lions or Kiwanis or a local women's club or a college fraternity or sorority? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF SERVICE OR FRATERNAL GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961425 COLUMNS 6221 - 6224 NUMERIC R4r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? SERVICE OR FRATERNAL GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 9999. Inap, no Post IW ============================== VAR M961426 COLUMNS 6225 - 6228 NUMERIC R5r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: In the past 12 months have you paid dues or given any money to this group? SERVICE OR FRATERNAL GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 9999. Inap, no Post IW ============================== VAR M961427 COLUMNS 6233 - 6236 NUMERIC R6r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? SERVICE OR FRATERNAL GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 9999. Inap, no Post IW ============================== VAR M961428 COLUMNS 6241 - 6244 NUMERIC R7r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? SERVICE OR FRATERNAL GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 9999. Inap, no Post IW ============================== VAR M961429 COLUMNS 6249 - 6249 NUMERIC R3s Organizations that provide services in such fields as health or service to the needy-- for instance, a hospital, a cancer or heart drive, or a group like the Salvation Army that works for the poor? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF SERVICE TO NEEDY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961430 COLUMNS 6250 - 6253 NUMERIC R4s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? SERVICE TO NEEDY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 9999. Inap, no Post IW ============================== VAR M961431 COLUMNS 6254 - 6257 NUMERIC R5s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: In the past 12 months have you paid dues or given any money to this group? SERVICE TO NEEDY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 9999. Inap, no Post IW ============================== VAR M961432 COLUMNS 6262 - 6265 NUMERIC R6s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? SERVICE TO NEEDY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 9999. Inap, no Post IW ============================== VAR M961433 COLUMNS 6270 - 6273 NUMERIC R7s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? SERVICE TO NEEDY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 9999. Inap, no Post IW ============================== VAR M961434 COLUMNS 6278 - 6278 NUMERIC R3t Educational institutions-- local schools, your own school or college, organizations associated with education such as school alumni associations or school service organizations such as the PTA? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF EDUCATIONAL GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961435 COLUMNS 6279 - 6282 NUMERIC R4t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? EDUCATIONAL GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 9999. Inap, no Post IW ============================== VAR M961436 COLUMNS 6283 - 6286 NUMERIC R5t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: In the past 12 months have you paid dues or given any money to this group? EDUCATIONAL GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 9999. Inap, no Post IW ============================== VAR M961437 COLUMNS 6291 - 6294 NUMERIC R6t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? EDUCATIONAL GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 9999. Inap, no Post IW ============================== VAR M961438 COLUMNS 6299 - 6302 NUMERIC R7t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? EDUCATIONAL GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 9999. Inap, no Post IW ============================== VAR M961439 COLUMNS 6307 - 6307 NUMERIC R3u Organizations that are active in providing cultural services to the public --for example, museums, symphonies, or public radio or television? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CULTURAL SERVICE GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961440 COLUMNS 6308 - 6311 NUMERIC R4u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CULTURAL SERVICE GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 9999. Inap, no Post IW ============================== VAR M961441 COLUMNS 6312 - 6315 NUMERIC R5u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: In the past 12 months have you paid dues or given any money to this group? CULTURAL SERVICE GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 9999. Inap, no Post IW ============================== VAR M961442 COLUMNS 6320 - 6323 NUMERIC R6u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CULTURAL SERVICE GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 9999. Inap, no Post IW ============================== VAR M961443 COLUMNS 6328 - 6331 NUMERIC R7u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CULTURAL SERVICE GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 9999. Inap, no Post IW ============================== VAR M961444 COLUMNS 6336 - 6336 NUMERIC R3v Support or self-help groups such as AA or Gamblers' Anonymous? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF SUPPORT/SELF-HELP GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961445 COLUMNS 6337 - 6340 NUMERIC R4v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? SUPPORT/SELF-HELP GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 9999. Inap, no Post IW ============================== VAR M961446 COLUMNS 6341 - 6344 NUMERIC R5v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: In the past 12 months have you paid dues or given any money to this group? SUPPORT/SELF-HELP GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 9999. Inap, no Post IW ============================== VAR M961447 COLUMNS 6349 - 6352 NUMERIC R6v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? SUPPORT/SELF-HELP GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 9999. Inap, no Post IW ============================== VAR M961448 COLUMNS 6357 - 6360 NUMERIC R7v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? SUPPORT/SELF-HELP GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 9999. Inap, no Post IW ============================== VAR M961449 COLUMNS 6365 - 6365 NUMERIC R3w Any other organizations? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF OTHER GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 0. No, not involved with any 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR M961450 COLUMNS 6366 - 6369 NUMERIC R4w IF R IS INVOLVED WITH ANY OTHER GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? OTHER GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 9999. Inap, no Post IW ============================== VAR M961451 COLUMNS 6370 - 6373 NUMERIC R5w IF R IS INVOLVED WITH ANY OTHER GROUPS: In the past 12 months have you paid dues or given any money to this group? OTHER GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 9999. Inap, no Post IW ============================== VAR M961452 COLUMNS 6378 - 6381 NUMERIC R6w IF R IS INVOLVED WITH ANY OTHER GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? OTHER GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 9999. Inap, no Post IW ============================== VAR M961453 COLUMNS 6386 - 6389 NUMERIC R7w IF R IS INVOLVED WITH ANY OTHER GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? OTHER GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 9999. Inap, no Post IW ============================== VAR M961454 COLUMNS 6394 - 6395 NUMERIC R3x SUMMARY - TOTAL NUMBER OF GROUPS MENTIONED BY R ----------------------------------------------------------- Built from R3a-w. 99. NA; Inap, no Post IW ============================== VAR M961455 COLUMNS 6396 - 6397 NUMERIC R4x SUMMARY - TOTAL NUMBER OF GROUPS IN WHICH R REPORTED BEING A MEMBER ----------------------------------------------------------- Built from R4a-w. 99. NA; Inap, no Post IW ============================== VAR M961456 COLUMNS 6398 - 6399 NUMERIC R5x SUMMARY - TOTAL NUMBER OF GROUPS TO WHICH R REPORTED PAYING DUES OR CONTRIBUTIONS ----------------------------------------------------------- Built from R5a-w. 99. NA; Inap, no Post IW ============================== VAR M961457 COLUMNS 6400 - 6401 NUMERIC R6x SUMMARY - TOTAL NUMBER OF GROUPS FOR WHICH R REPORTED MEETINGS OR ACTIVITIES ----------------------------------------------------------- Built from R6a-w. 99. NA; Inap, no Post IW ============================== VAR M961458 COLUMNS 6402 - 6403 NUMERIC R7x SUMMARY - TOTAL NUMBER OF GROUPS FOR WHICH R REPORTED POLITICAL DISCUSSION "OFTEN" OR "SOMETIMES" ----------------------------------------------------------- Built from R7a-w. 99. NA; Inap, no Post IW ============================== VAR M961459 COLUMNS 6404 - 6404 NUMERIC T1 On the whole, are you satisfied, fairly satisfied, not very satisfied, or not at all satisfied with the way democracy works in the United States? ----------------------------------------------------------- 1. Satisfied 2. Fairly satisfied 3. Not very satisfied 4. Not at all satisfied 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961460 COLUMNS 6405 - 6405 NUMERIC T2 [RB, P.15] Looking at page 15 in the booklet: In some countries, people believe their elections are conducted fairly. In other countries, people believe that their elections are conducted unfairly. Thinking of the last election in the United States, where would you place it on this scale of one to five where 1 means that the last election was conducted fairly and 5 means that the last election was conducted unfairly? ----------------------------------------------------------- 1. Last election conducted fairly 2. 3. 4. 5. Last election conducted unfairly 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961461 COLUMNS 6406 - 6406 NUMERIC T3 (Not using the booklet) Do you usually think of yourself as close to any particular political party? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961462 COLUMNS 6407 - 6407 NUMERIC T3(1) IF R THINKS OF SELF AS CLOSE TO ANY POLITICAL PARTY: Which party is that? MENTION 1 ----------------------------------------------------------- 1. Democratic Party 3. Republican Party 5. Other party (specify) 8. DK 9. NA 0. Inap, 5,8,9 in T3; no Post IW ============================== VAR M961463 COLUMNS 6408 - 6408 NUMERIC T3(2) IF R THINKS OF SELF AS CLOSE TO ANY POLITICAL PARTY: Which party is that? MENTION 2 ----------------------------------------------------------- 1. Democratic Party 3. Republican Party 5. Other party (specify) 0. Inap, 5,8,9 in T3; 8,9 in T3(1); no further mention; no Post IW ============================== VAR M961464 COLUMNS 6409 - 6409 NUMERIC T3b CHECKPOINT NUMBER OF PARTIES R MENTIONED AS 'CLOSE TO' ----------------------------------------------------------- 0. No party (5 in T3) 1. One party 2. Two or more parties 9. Inap, 8,9 in T3; 8,9 in T3(1); no Post IW ============================== VAR M961465 COLUMNS 6410 - 6410 NUMERIC T3c IF R THINKS OF SELF AS CLOSE TO MORE THAN ONE POLITICAL PARTY / IF R DOESN'T THINK OF SELF AS CLOSE TO A POLITICAL PARTY: Do you feel yourself a little closer to one of the political parties than the others? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, 1,9 in T3b; no Post IW ============================== VAR M961466 COLUMNS 6411 - 6411 NUMERIC T3d IF R THINKS OF SELF AS CLOSE TO 2 OR MORE POLITICAL PARTIES BUT 'A LITTLE CLOSER' TO ONE PARTY / IF R DOESN'T THINK OF SELF AS CLOSE TO A POLITICAL PARTY BUT 'A LITTLE CLOSER' TO ONE PARTY: Which party is that? ----------------------------------------------------------- 1. Democratic Party 3. Republican Party 5. Other party (specify) 8. DK 9. NA 0. Inap, 9 in T3b; 5,8,9 in T3c; no Post IW ============================== VAR M961467 COLUMNS 6412 - 6412 NUMERIC T3e IF R THINKS OF SELF AS CLOSE TO 2 OR MORE POLITICAL PARTIES BUT 'A LITTLE CLOSER' TO ONE PARTY / IF R DOESN'T THINK OF SELF AS CLOSE TO A POLITICAL PARTY BUT 'A LITTLE CLOSER' TO ONE PARTY: Do you feel VERY CLOSE to this party, SOMEWHAT CLOSE, or NOT VERY CLOSE? ----------------------------------------------------------- 1. Very close 3. Somewhat close 5. Not very close 8. DK 9. NA 0. Inap, 1,9 in T3b; 5,8,9 in T3c; 8,9 in T3d; no Post IW ============================== VAR M961468 COLUMNS 6413 - 6413 NUMERIC T4 Looking at page 16 in the booklet: Some people say that political parties in the United States care what ordinary people think. Others say that political parties in the United States don't care what ordinary people think. Using the scale in the booklet, where 1 means that political parties care about what ordinary people think, and 5 means that they don't care what ordinary people think, where would you place yourself? ----------------------------------------------------------- 1. Political parties care about what ordinary people think 2. 3. 4. 5. They don't care what ordinary people think 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961469 COLUMNS 6414 - 6414 NUMERIC T5 Looking at page 17 in the booklet: Some people say that political parties are neccessary to make our political system work in the United States. Others think that political parties are not needed in the United States. Using the scale in the booklet, (where 1 means that political parties are necessary to make our political system work, and 5 means that political parties are not needed in the United States), where would you place yourself? ----------------------------------------------------------- 1. Political parties are necessary to make our political system work 2. 3. 4. 5. Political parties are not needed in the United States 8. DK 9. NA 0. Inap, no Post IW ============================== T7 Looking at page 18 in the booklet. I'd like to know what you think about each of our political parties. After I read the name of a political party, please rate it on a scale from 0 to 10, where 0 means you strongly dislike that party and 10 means that you strongly like that party. If I come to a party you haven't heard of or you feel you do not know enough about, just say so. ----------------------------------------------------------- ============================== VAR M961470 COLUMNS 6415 - 6416 NUMERIC T7a The first party is: The Democratic party. ----------------------------------------------------------- See T7 for full text. 0. Strongly dislike 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Strongly like 98. DK 99. NA; Inap, no post IW ============================== VAR M961471 COLUMNS 6417 - 6418 NUMERIC T7b (Still looking at page 18 in the booklet) The Republican Party ----------------------------------------------------------- See T7 for full text. 0. Strongly dislike 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Strongly like 98. DK 99. NA; Inap, no post IW ============================== VAR M961472 COLUMNS 6419 - 6420 NUMERIC T7c (Still looking at page 18 in the booklet) The Reform Party ----------------------------------------------------------- See T7 for full text. 0. Strongly dislike 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Strongly like 98. DK 99. NA; Inap, no post IW ============================== VAR M961473 COLUMNS 6421 - 6422 NUMERIC T8a (Still looking at page 18 in the booklet) And now, using the same scale, I'd like to ask you how much you like or dislike some political leaders. Again, if I come to a leader you haven't heard of or you feel you do not know enough about, just say so. The first political leader is Bill Clinton. ----------------------------------------------------------- See T7 for full text. 0. Strongly dislike 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Strongly like 98. DK 99. NA; Inap, no post IW ============================== VAR M961474 COLUMNS 6423 - 6424 NUMERIC T8b (Still looking at page 18 in the booklet) Bob Dole ----------------------------------------------------------- See T7 for full text. 0. Strongly dislike 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Strongly like 98. DK 99. NA; Inap, no post IW ============================== VAR M961475 COLUMNS 6425 - 6426 NUMERIC T8c (Still looking at page 18 in the booklet) Ross Perot ----------------------------------------------------------- See T7 for full text. 0. Strongly dislike 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Strongly like 98. DK 99. NA; Inap, no post IW ============================== VAR M961476 COLUMNS 6427 - 6427 NUMERIC T9 What do you think about the state of the economy these days in the United States? Would you say that the state of the economy is VERY GOOD, GOOD, NEITHER GOOD NOR BAD, BAD, or VERY BAD? ----------------------------------------------------------- 1. Very good 2. Good 3. Neither bad nor good 4. Bad 5. Very bad 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961477 COLUMNS 6428 - 6428 NUMERIC T10 Would you say that over the past twelve months, the state of the economy in the United States has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? ----------------------------------------------------------- 1. Gotten better 3. Stayed about the same 5. Gotten worse 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961478 COLUMNS 6429 - 6429 NUMERIC T10a/T10b IF R THINKS U.S. ECONOMY HAS GOTTEN BETTER IN PAST 12 MONTHS / IF R THINKS U.S. ECONOMY HAS GOTTEN WORSE IN PAST 12 MONTHS: T10a. Would you say MUCH better or SOMEWHAT better? T10b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- 1. Gotten much better 2. Gotten somewhat better 3. Same (3 in T10) 4. Gotten somewhat worse 5. Gotten much worse 8. DK 9. NA 0. Inap, 8,9 in T10; no Post IW ============================== VAR M961479 COLUMNS 6430 - 6430 NUMERIC T11 Looking at page 19 of the booklet, some people say that members of Congress know what ordinary people think. Others say that members of Congress don't know much about what ordinary people think. Using the scale in the booklet, (where 1 means that the members of Congress know what ordinary people think, and 5 means that the members of Congress don't know much about what ordinary people think), where would you place yourself? ----------------------------------------------------------- 1. Members of Congress know what ordinary people think 2. 3. 4. 5. Members of Congress don't know much about what ordinary people think 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961480 COLUMNS 6431 - 6431 NUMERIC T12 During the past twelve months, have you had any contact with a member of Congress in any way? ----------------------------------------------------------- 1. Yes 5. No 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961481 COLUMNS 6432 - 6432 NUMERIC T13 Looking at page 20 of the booklet, some people say it makes a difference who is in power. Others say that it doesn't make a difference who is in power. Using the scale in the booklet, (where 1 means that it makes a difference who is in power and 5 means that it doesn't make a difference who is in power), where would you place yourself? ----------------------------------------------------------- 1. It makes a difference who is in power 2. 3. 4. 5. It doesn't make a difference who is in power 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961482 COLUMNS 6433 - 6433 NUMERIC T14 Looking at page 21 of the booklet, some people say that no matter who people vote for, it won't make any difference to what happens. Others say that who people vote for can make a difference to what happens. Using the scale in the booklet, (where 1 means that voting won't make a difference to what happens and 5 means that voting can make a difference), where would you place yourself? ----------------------------------------------------------- 1. Voting won't make a difference to what happens 2. 3. 4. 5. Voting can make a difference 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961483 COLUMNS 6434 - 6434 NUMERIC T15 Looking at page 22 of the booklet, when people are asked to express an opinion, do you believe most people in the United States usually say what they think about politics or do you believe most people usually hide what they really think about politics? Using the scale in the booklet, (where 1 means that most people in the United States usually say what they think about politics, and 5 means that most people usually hide what they really think), where would you place yourself? ----------------------------------------------------------- 1. Most people in the United States usually say what they think about politics 2. 3. 4. 5. Most people in the United States usually hide what they think about politics 8. DK 9. NA 0. Inap, no Post IW ============================== VAR M961484 COLUMNS 6435 - 6436 NUMERIC T16 Looking at page 23 of the booklet, In politics people sometimes talk of left and right. Where would you place yourself on a scale from 0 to 10 where 0 means the left and 10 means the right? ----------------------------------------------------------- 0. Left 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Right 98. DK 99. NA; Inap, no Post IW ============================== VAR M961485 COLUMNS 6437 - 6437 NUMERIC Rand.B1a1 Position of Democratic House candidate and Republican House candidate in Thermometers ----------------------------------------------------------- House candidate thermometers were always administered as the 4th and 5th thermometers, but the order in which they were administered was randomized. 1. Democratic House candidate first, Republican House candidate second 2. Republican House candidate first, Democratic House candidate second 9. NA; Inap, no Post IW 0. Inap, no Democratic House candidate; no Republican House candidate; Washington DC ============================== VAR M961486 COLUMNS 6438 - 6439 NUMERIC Rand.B1d Position of The Supreme Court in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961487 COLUMNS 6440 - 6441 NUMERIC Rand.B1e Position of Congress in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961488 COLUMNS 6442 - 6443 NUMERIC Rand.B1f Position of The Military in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961489 COLUMNS 6444 - 6445 NUMERIC Rand.B1g Position of The Federal Government in Washington in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961490 COLUMNS 6446 - 6447 NUMERIC Rand.B1h Position of Blacks in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961491 COLUMNS 6448 - 6449 NUMERIC Rand.B1j Position of Whites in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961492 COLUMNS 6450 - 6451 NUMERIC Rand.B1k Position of Conservatives in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961493 COLUMNS 6452 - 6453 NUMERIC Rand.B1L Position of Liberals in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961494 COLUMNS 6454 - 6455 NUMERIC Rand.B1m Position of Labor Unions in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961495 COLUMNS 6456 - 6457 NUMERIC Rand.B1n Position of Big Business in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961496 COLUMNS 6458 - 6459 NUMERIC Rand.B1p Position of Poor People in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961497 COLUMNS 6460 - 6461 NUMERIC Rand.B1r Position of People on Welfare in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961498 COLUMNS 6462 - 6463 NUMERIC Rand.B1r Position of Hispanics in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961499 COLUMNS 6464 - 6465 NUMERIC Rand.B1s Position of Christian Fundamentalists in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961500 COLUMNS 6466 - 6467 NUMERIC Rand.B1t Position of The Women's movement in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961501 COLUMNS 6468 - 6469 NUMERIC Rand.B1u Position of Older people in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961502 COLUMNS 6470 - 6471 NUMERIC Rand.B1v Position of Environmentalists in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961503 COLUMNS 6472 - 6473 NUMERIC Rand.B1w Position of Gay men and Lesbians, homosexuals in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961504 COLUMNS 6474 - 6475 NUMERIC Rand.B1x Position of The Christian Coalition in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR M961505 COLUMNS 6476 - 6476 NUMERIC Rand.C1 Order of House Democratic and Republican candidates in administration of 'Likes/Dislikes' questions ----------------------------------------------------------- The 'Likes' and 'Dislikes' questions were both administered for the first candidate before being administered for the second candidate ('Likes' always precede 'Dislikes') . This variable indicates whether the 'Likes/Dislikes' set of questions was asked first for the Democratic candidate or the Republican candidate. 1. Democratic House candidate first, Republican House candidate second 2. Republican House candidate first, Democratic House candidate second 9. NA; Inap, no post IW 0. Inap, no Democratic House candidate; no Republican House candidate; Washington DC ============================== VAR M961506 COLUMNS 6477 - 6477 NUMERIC Rand.E1a Order of Clinton and Dole in administration of Traits questions ----------------------------------------------------------- Two 'traits' questions were asked each for Clinton and Dole, and both traits were asked for the first candidate before being asked about the second candidate. The order of the candidates was randomized but not the order of the traits. (One question was asked about Perot, who always came third). 1. Clinton first, Dole second 2. Dole first, Clinton second 9. NA; Inap, no post IW ============================== VAR M961507 COLUMNS 6478 - 6478 NUMERIC Rand.J4b Order of Clinton, Dole, Perot in administration of Aid to Blacks 7-point scale ----------------------------------------------------------- Self-placement preceded the placements of the presidential candidates. This variables describes the order of the placements for Clinton, Dole and Perot after self- placement. 1. Clinton, Dole, Perot 2. Dole, Perot Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA; Inap, no post IW ============================== VAR M961508 COLUMNS 6479 - 6479 NUMERIC Rand.N11b Order of Clinton, Dole in administration of Liberal- Conservative 7-point scale ----------------------------------------------------------- Self-placement preceded the placements of the presidential candidates. This variables describes the order of the placements for Clinton and Dole after self-placement (placement was not asked for Perot). 1. Clinton, Dole 2. Dole, Clinton 9. NA; Inap, no post IW ============================== VAR M961509 COLUMNS 6480 - 6480 NUMERIC Rand.N11e Order of Democratic and Republican House candidates in administration of Liberal-Conservative 7-point scale ----------------------------------------------------------- After R self-placement, the Liberal-Conservative placement questions were asked about Clinton and Dole, and the House candidate placements were always asked afterwards (third or fourth placements after R's self-placement). This variable describes whether the Democratic or Republican candidate was administered first after the two presidential candidates. 1. Democratic House candidate first, Republican House candidate second 2. Republican House candidate first, Democratic House candidate second 9. NA; Inap, no opinion in N13; no post IW 0. Inap, no Democratic House candidate; no Republican House candidate; Washington DC ============================== VAR M961510 COLUMNS 6481 - 6481 NUMERIC Rand.N14a Order of Clinton, Dole, Perot in administration of Tax Cut scale ----------------------------------------------------------- Self-placement preceded the placements of the presidential candidates. This variables describes the order of the placements for Clinton, Dole and Perot after self- placement. 1. Clinton, Dole, Perot 2. Dole, Perot Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA; Inap, no post IW ============================== VAR M961511 COLUMNS 6482 - 6482 NUMERIC Rand.P2b Order of Blacks and Hispanics in administration of 'Hardworking' scale ----------------------------------------------------------- The 'Hardworking' scale was always asked about Whites first. This variable describes whether the same question was afterwards administered first for Blacks or first for Hispanics. 1. Blacks, Hispanics 2. Hispanics, Blacks 9. NA; Inap, no post IW ============================== VAR M961512 COLUMNS 6483 - 6483 NUMERIC Rand.P3b Order of Blacks and Hispanics in administration of 'Intelligent' scale ----------------------------------------------------------- The 'Intelligent' scale was always asked about Whites first. This variable describes whether the same question was afterwards administered first for Blacks or first for Hispanics. 1. Blacks, Hispanics 2. Hispanics, Blacks 9. NA; Inap, no post IW ============================== VAR M961513 COLUMNS 6484 - 6484 NUMERIC Rand.P4b Order of Blacks and Hispanics in administration of 'Trustworthy' scale ----------------------------------------------------------- The 'Trustworthy' scale was always asked about Whites first. This variable describes whether the same question was afterwards administered first for Blacks or first for Hispanics. 1. Blacks, Hispanics 2. Hispanics, Blacks 9. NA; Inap, no post IW ============================== VAR M967000A Congressional district number COLUMNS 6485 - 6486 NUMERIC Variable is two-digit House district number ============================== VAR M967000B FIPS state code COLUMNS 6487 - 6488 NUMERIC Variable is two-digit FIPS state code ============================== VAR M967000C ICPSR state code COLUMNS 6489 - 6490 NUMERIC Variable is two-digit ICPSR state code ============================== VAR M967000D FIPS state and county code COLUMNS 6491 - 6495 NUMERIC Variable is five-digit ICPSR state and county code ============================== VAR M967000E State abbreviation (alphanumeric) COLUMNS 6496 - 6497 CHARACTER * This Variable is alphanumeric Variable is two-letter state abreviation ============================== VAR M967001 Number of Democrats in lower state house 1994 COLUMNS 6498 - 6500 NUMERIC MISSING VALUES: -9 Variable is number of Democrats in lower house of statelegislature Source: Politics in America (1996) ============================== VAR M967002 Number of Republicans in lower state house 1994 COLUMNS 6501 - 6503 NUMERIC MISSING VALUES: -9 Variable is number of Republicans in lower house of statelegislature Source: Politics in America (1996) ============================== VAR M967003 Number of Democrats in upper state house 1994 COLUMNS 6504 - 6505 NUMERIC MISSING VALUES: -9 Variable is number of Democrats in upper house of statelegislature Source: Politics in America (1996) ============================== VAR M967004 Number of Republicans in upper state house 1994 COLUMNS 6506 - 6507 NUMERIC MISSING VALUES: -9 Variable is number of Republicans in upper house of statelegislature Source: Politics in America (1996) ============================== VAR M967005 Party of state governor pre-election 1996 COLUMNS 6508 - 6508 NUMERIC MISSING VALUES: 9 Variable is party of state governor, pre-election 1996 1 Democrat 2 Republican Source: Politics in America (1996) ============================== VAR M967006 State percent vote for Clinton 1992 COLUMNS 6509 - 6515 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote in state for Clinton in 1992presidential election Source: County and City Data Book 1994 ============================== VAR M967007 State percent vote for Bush 1992 COLUMNS 6516 - 6522 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote in state for Bush in 1992presidential election Source: County and City Data Book 1994 ============================== VAR M967008 State percent vote for Perot 1992 COLUMNS 6523 - 6529 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote in state for Perot in 1992presidential election Source: County and City Data Book 1994 ============================== VAR M967009 Number of U.S. House districts in state COLUMNS 6530 - 6531 NUMERIC MISSING VALUES: -9 Variable is number of U.S. House districts in state Source: Congressional Quarterly ============================== VAR M967010 Number of state Democrats in U.S. House pre-election 1996 COLUMNS 6532 - 6533 NUMERIC MISSING VALUES: -9 Variable is number of Democratic members of U.S. House instate delegation Source: Congressional Quarterly ============================== VAR M967011 Number of state Republicans in U.S. House pre-election1996 COLUMNS 6534 - 6535 NUMERIC MISSING VALUES: -9 Variable is number of Republican members of U.S. House instate delegation Source: Congressional Quarterly ============================== VAR M967012 Erikson-Wright-McIver percent Democrats in state COLUMNS 6536 - 6542 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of Democrats in state ============================== VAR M967013 Erikson-Wright-McIver percent Republicans in state COLUMNS 6543 - 6549 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of Republicans in state ============================== VAR M967014 Erikson-Wright-McIver percent liberals in state COLUMNS 6550 - 6556 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of liberals in state ============================== VAR M967015 Erikson-Wright-McIver percent conservatives in state COLUMNS 6557 - 6563 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of conservatives in state ============================== VAR M967016 Name of Senator #1 (alphanumeric) COLUMNS 6564 - 6572 CHARACTER * This Variable is alphanumeric Variable is last name of U.S. Senator designated as Senator#1 for the purposes of Senate incumbent variables ============================== VAR M967017 Party of Senator #1 COLUMNS 6573 - 6573 NUMERIC MISSING VALUES: 9 Variable is party of Senator designated as Senator #1 1 Democrat 2 Republican Source: Almanac of American Politics 1996 ============================== VAR M967018 Is Senator #1 running for reelection? COLUMNS 6574 - 6574 NUMERIC MISSING VALUES: 9 Variable is indicator of whether or not Senator #1 wasseeking reelection in 1996 0 No Senate election in state 1 Senate election in state, but Senator #1 was not up for or was not seeking reelection 2 Senator #1 was seeking reelection Source: Congressional Quarterly Weekly Report ============================== VAR M967019 Name of Senator #2 COLUMNS 6575 - 6585 CHARACTER * This Variable is alphanumeric Variable is last name of U.S. Senator designated as Senator#2 for the purposes of Senate incumbent variables ============================== VAR M967020 Party of Senator #2 COLUMNS 6586 - 6586 NUMERIC MISSING VALUES: 9 Variable is party of Senator designated as Senator #2 1 Democrat 2 Republican Source: Almanac of American Politics 1996 ============================== VAR M967021 Is Senator #2 running for reelection? COLUMNS 6587 - 6587 NUMERIC MISSING VALUES: 9 Variable is indicator of whether or not Senator #2 wasseeking reelection in 1996 0 No Senate election in state 1 Senate election in state, but Senator #2 was not up or wasnot seeking reelection 2 Senator #2 was seeking reelection Source: Congressional Quarterly Weekly Report ============================== VAR M967022 Senator #1 1995 National Jrnl economic liberalism score COLUMNS 6588 - 6589 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967023 Senator #1 1995 National Jrnl social liberalism score COLUMNS 6590 - 6591 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967024 Senator #1 1995 National Jrnl foreign liberalism score COLUMNS 6592 - 6593 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage of members that Senator was more liberal than on foreign policy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967025 Senator #1 1995 National Jrnl economic conservatism score COLUMNS 6594 - 6595 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967026 Senator #1 1995 National Jrnl social conservatism score COLUMNS 6596 - 6597 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967027 Senator #1 1995 National Jrnl foreign conservatism score COLUMNS 6598 - 6599 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967028 Senator #1 1995 U.S. Chamber of Commerce score COLUMNS 6600 - 6602 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1995 How They Voted" ============================== VAR M967029 Senator #1 1995 Party unity support score COLUMNS 6603 - 6604 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Unity score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR M967030 Senator #1 1995 Party unity opposition score COLUMNS 6605 - 6606 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR M967031 Senator #1 1995 Party unity adjusted support score COLUMNS 6607 - 6608 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR M967032 Senator #1 1995 Presidential support score COLUMNS 6609 - 6610 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR M967033 Senator #1 1995 Presidential opposition score COLUMNS 6611 - 6612 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR M967034 Senator #1 1995 Presidential adjusted support score COLUMNS 6613 - 6614 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR M967035 Senator #1 1995 Conserv coalition support score COLUMNS 6615 - 6616 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR M967036 Senator #1 1995 Conserv coalition opposition score COLUMNS 6617 - 6618 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR M967037 Senator #1 1995 Conserv coalition adjusted support score COLUMNS 6619 - 6621 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR M967038 Senator #1 1995 Americans for Democratic Action score COLUMNS 6622 - 6624 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, March 1996 ============================== VAR M967039 Senator #1 1996 National Jrnl economic liberalism score COLUMNS 6625 - 6626 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689. ============================== VAR M967040 Senator #1 1996 National Jrnl social liberalism score COLUMNS 6627 - 6628 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967041 Senator #1 1996 National Jrnl foreign liberalism score COLUMNS 6629 - 6630 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on foreign policy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967042 Senator #1 1996 National Jrnl economic conservatism score COLUMNS 6631 - 6632 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967043 Senator #1 1996 National Jrnl social conservatism score COLUMNS 6633 - 6634 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967044 Senator #1 1996 National Jrnl foreign conservatism score COLUMNS 6635 - 6636 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967045 Senator #1 1996 U.S. Chamber of Commerce score COLUMNS 6637 - 6639 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1996 How They Voted" ============================== VAR M967046 Senator #1 1996 Party unity support score COLUMNS 6640 - 6641 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Unity score Source: Congressional Quarterly Weekly Report, ============================== VAR M967047 Senator #1 1996 Party unity opposition score COLUMNS 6642 - 6643 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Oppositionscore Source: Congressional Quarterly Weekly Report, ============================== VAR M967048 Senator #1 1996 Party unity adjusted support score COLUMNS 6644 - 6646 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, ============================== VAR M967049 Senator #1 1996 Presidential support score COLUMNS 6647 - 6648 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR M967050 Senator #1 1996 Presidential opposition score COLUMNS 6649 - 6650 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR M967051 Senator #1 1996 Presidential adjusted support score COLUMNS 6651 - 6652 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR M967052 Senator #1 1996 Conserv coalition support score COLUMNS 6653 - 6654 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR M967053 Senator #1 1996 Conserv coalition opposition score COLUMNS 6655 - 6656 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR M967054 Senator #1 1996 Conserv coalition adjusted support score COLUMNS 6657 - 6658 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR M967055 Senator #1 1996 Americans for Democratic Action score COLUMNS 6659 - 6661 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, November 1996 ============================== VAR M967056 Senator #2 1995 National Jrnl economic liberalism score COLUMNS 6662 - 6663 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967057 Senator #2 1995 National Jrnl social liberalism score COLUMNS 6664 - 6665 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967058 Senator #2 1995 National Jrnl foreign liberalism score COLUMNS 6666 - 6667 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on foreign policy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967059 Senator #2 1995 National Jrnl economic conservatism score COLUMNS 6668 - 6669 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967060 Senator #2 1995 National Jrnl social conservatism score COLUMNS 6670 - 6671 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967061 Senator #2 1995 National Jrnl foreign conservatism score COLUMNS 6672 - 6673 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR M967062 Senator #2 1995 U.S. Chamber of Commerce score COLUMNS 6674 - 6676 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1995 How They Voted" ============================== VAR M967063 Senator #2 1995 Party unity support score COLUMNS 6677 - 6678 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Unity score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR M967064 Senator #2 1995 Party unity opposition score COLUMNS 6679 - 6680 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR M967065 Senator #2 1995 Party unity adjusted support score COLUMNS 6681 - 6682 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR M967066 Senator #2 1995 Presidential support score COLUMNS 6683 - 6684 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR M967067 Senator #2 1995 Presidential opposition score COLUMNS 6685 - 6686 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR M967068 Senator #2 1995 Presidential adjusted support score COLUMNS 6687 - 6688 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR M967069 Senator #2 1995 Conserv coalition support score COLUMNS 6689 - 6691 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR M967070 Senator #2 1995 Conserv coalition opposition score COLUMNS 6692 - 6693 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR M967071 Senator #2 1995 Conserv coalition adjusted support score COLUMNS 6694 - 6696 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR M967072 Senator #2 1995 Americans for Democratic Action score COLUMNS 6697 - 6699 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, March 1996 ============================== VAR M967073 Senator #2 1996 National Jrnl economic liberalism score COLUMNS 6700 - 6701 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689. ============================== VAR M967074 Senator #2 1996 National Jrnl social liberalism score COLUMNS 6702 - 6703 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967075 Senator #2 1996 National Jrnl foreign liberalism score COLUMNS 6704 - 6705 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on foreign policy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967076 Senator #2 1996 National Jrnl economic conservatism score COLUMNS 6706 - 6707 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967077 Senator #2 1996 National Jrnl social conservatism score COLUMNS 6708 - 6709 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967078 Senator #2 1996 National Jrnl foreign conservatism score COLUMNS 6710 - 6711 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR M967079 Senator #2 1996 U.S. Chamber of Commerce score COLUMNS 6712 - 6714 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1996 How They Voted" ============================== VAR M967080 Senator #2 1996 Party unity support score COLUMNS 6715 - 6716 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Unity score Source: Congressional Quarterly Weekly Report, ============================== VAR M967081 Senator #2 1996 Party unity opposition score COLUMNS 6717 - 6718 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Oppositionscore Source: Congressional Quarterly Weekly Report, ============================== VAR M967082 Senator #2 1996 Party unity adjusted support score COLUMNS 6719 - 6720 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, ============================== VAR M967083 Senator #2 1996 Presidential support score COLUMNS 6721 - 6722 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR M967084 Senator #2 1996 Presidential opposition score COLUMNS 6723 - 6724 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR M967085 Senator #2 1996 Presidential adjusted support score COLUMNS 6725 - 6726 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR M967086 Senator #2 1996 Conserv coalition support score COLUMNS 6727 - 6729 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR M967087 Senator #2 1996 Conserv coalition opposition score COLUMNS 6730 - 6731 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR M967088 Senator #2 1996 Conserv coalition adjusted support score COLUMNS 6732 - 6734 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR M967089 Senator #2 1996 Americans for Democratic Action score COLUMNS 6735 - 6736 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, November 1996 ============================== VAR M967090 Congressional Quarterly pre-election Senate race outlook COLUMNS 6737 - 6738 NUMERIC MISSING VALUES: -9 Variable is the pre-election "CQ Call" concerning theexpected outcome of the Senate race 0 Probably secure Democrat 1 Potentially vulnerable Democrat 2 Vulnerable Democrat 3 Highly vulnerable Democrat 4 Highly vulnerable Republican 5 Vulnerable Republican 6 Potentially vulnerable Republican 7 Probably secure Republican Source: Congressional Quarterly Weekly Report, 27 April1996, p. 1103-1104 ============================== VAR M967091 Democratic Senate candidate prior political experience COLUMNS 6739 - 6740 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byDemocratic Senate candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR M967092 Republican Senate candidate prior political experience COLUMNS 6741 - 6742 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byRepublican Senate candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR M967093 Kansas race #2: Democratic political experience COLUMNS 6743 - 6744 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byDemocratic Senate candidate in Roberts-Thompson Kansas Senaterace 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR M967094 Kansas race #2: Republican political experience COLUMNS 6745 - 6746 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byRepublican Senate candidate in Roberts-Thompson Kansas Senaterace 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR M967095 Total votes cast for Democratic Senate candidate 1996 COLUMNS 6747 - 6753 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Senatecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967096 Total votes cast for Republican Senate candidate 1996 COLUMNS 6754 - 6760 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Senatecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967097 Total votes cast in Senate race 1996 COLUMNS 6761 - 6767 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Senatecandidates in race in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967098 Kansas race #2: Total votes cast for Democratic candidate COLUMNS 6768 - 6773 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Senatecandidate in 1996, Roberts-Thompson Kansas Senate race only Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967099 Kansas race #2: Total votes cast for Republican candidate COLUMNS 6774 - 6779 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Senatecandidate in 1996, Roberts-Thompson Kansas Senate race only Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967100 Kansas race #2: Total votes cast in Senate race COLUMNS 6780 - 6786 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Senatecandidates in 1996, Roberts-Thompson Kansas Senate race only Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967101 Campaign receipts by Democratic Senate candidate 1996 COLUMNS 6787 - 6794 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Democratic Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967102 Campaign expenditures by Democratic Senate candidate 1996 COLUMNS 6795 - 6802 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Democratic Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967103 Campaign receipts by Republican Senate candidate 1996 COLUMNS 6803 - 6809 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Republican Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967104 Campaign expenditures by Republican Senate candidate 1996 COLUMNS 6810 - 6816 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Republican Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967105 Kansas race #2: Democratic campaign receipts COLUMNS 6817 - 6822 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Democratic Senate candidate, Roberts-Thompson KansasSenate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967106 Kansas race #2: Democratic campaign expenditures COLUMNS 6823 - 6828 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Democratic Senate candidate, Roberts-ThompsonKansas Senate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967107 Kansas race #2: Republican campaign receipts COLUMNS 6829 - 6835 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Republican Senate candidate, Roberts-Thompson KansasSenate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967108 Kansas race #2: Republican campaign expenditures COLUMNS 6836 - 6842 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Republican Senate candidate, Roberts-Thompson Kansas Senate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967109 House incumbent's party COLUMNS 6843 - 6843 NUMERIC MISSING VALUES: 9 Variable is party of incumbent in U.S. House ofRepresentatives 1 Democrat 2 Republican 3 Independent ============================== VAR M967110 Year House incumbent was first elected COLUMNS 6844 - 6845 NUMERIC MISSING VALUES: -9 Variable is last two digits of year in which incumbent wasfirst elected to U.S. House of Representatives Source: Almanac of American Politics 1996 ============================== VAR M967111 House incumbent's seniority in party COLUMNS 6846 - 6848 NUMERIC MISSING VALUES: -9 Variable is House incumbent's rank in party seniority Source: Congressional Quarterly Weekly Report, 18 February1995, p. 543-549 ============================== VAR M967112 House incumbent's sex COLUMNS 6849 - 6849 NUMERIC MISSING VALUES: 9 Variable is House incumbent's gender 1 Male 2 Female Source: Almanac of American Politics 1996 ============================== VAR M967113 House incumbent's race COLUMNS 6850 - 6850 NUMERIC MISSING VALUES: 9 Variable is House incumbent's race 1 White 2 Black 4 Asian or Pacific Islander Source: Almanac of American Politics 1996 ============================== VAR M967114 House incumbent's number of district offices COLUMNS 6851 - 6852 NUMERIC MISSING VALUES: -9 Source: Almanac of American Politics 1996 ============================== VAR M967115 House incumbent 1995 National Jrnl economic liberalism COLUMNS 6853 - 6854 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on economic issuesin 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR M967116 House incumbent 1995 National Jrnl social liberalism COLUMNS 6855 - 6856 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on social issues in1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR M967117 House incumbent 1995 National Jrnl foreign liberalism COLUMNS 6857 - 6858 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on foreign policy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR M967118 House incumbent 1995 National Jrnl economic conservatism COLUMNS 6859 - 6860 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on economicissues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR M967119 House incumbent 1995 National Jrnl social conservatism COLUMNS 6861 - 6862 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on socialissues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR M967120 House incumbent 1995 National Jrnl foreign conservatism COLUMNS 6863 - 6864 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on foreignpolicy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR M967121 House incumbent 1995 U.S. Chamber of Commerce score COLUMNS 6865 - 6866 NUMERIC MISSING VALUES: -9 Variable is incumbent's U.S. Chamber of Commerce supportscore Source: U.S. Chamber of Commerce's "1995 How They Voted" ============================== VAR M967122 House incumbent 1995 Party unity support score COLUMNS 6867 - 6868 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Unity score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 246-247 ============================== VAR M967123 House incumbent 1995 Party unity opposition score COLUMNS 6869 - 6870 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 27 January1996, p. 246-247 ============================== VAR M967124 House incumbent 1995 Party unity adjusted support score COLUMNS 6871 - 6872 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 246-247 ============================== VAR M967125 House incumbent 1995 Presidential support score COLUMNS 6873 - 6874 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialSupport Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 240-241 ============================== VAR M967126 House incumbent 1995 Presidential opposition score COLUMNS 6875 - 6876 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialOpposition Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 240-241 ============================== VAR M967127 House incumbent 1995 Presidential adjusted support score COLUMNS 6877 - 6878 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedPresidential Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 240-241 ============================== VAR M967128 House incumbent 1995 Conserv coalition support score COLUMNS 6879 - 6880 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 ConservativeCoalition Support Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 252-253 ============================== VAR M967129 House incumbent 1995 Conserv coalition opposition score COLUMNS 6881 - 6882 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 ConservativeCoalition Oppostion Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 252-253 ============================== VAR M967130 House incumbent 1995 Conserv coalition adjusted support COLUMNS 6883 - 6885 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedConservative Coalition Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 252-253 ============================== VAR M967131 House incumbent 1995 Americans for Democratic Actionscore COLUMNS 6886 - 6888 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, March 1996 ============================== VAR M967132 House incumbent 1995 League of Conservation Voters score COLUMNS 6889 - 6890 NUMERIC MISSING VALUES: -9 Variable is League of Conservation Voters support score Source: League of Conservation Voters Web site(www.lcv.org/lcv95) ============================== VAR M967133 House incumbent 1996 National Jrnl economic liberalism COLUMNS 6891 - 6892 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on economic issuesin 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR M967134 House incumbent 1996 National Jrnl social liberalism COLUMNS 6893 - 6894 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on social issues in1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR M967135 House incumbent 1996 National Jrnl foreign liberalism COLUMNS 6895 - 6896 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on foreign policy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR M967136 House incumbent 1996 National Jrnl economic conservatism COLUMNS 6897 - 6898 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on economicissues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR M967137 House incumbent 1996 National Jrnl social conservatism COLUMNS 6899 - 6900 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on socialissues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR M967138 House incumbent 1996 National Jrnl foreign conservatism COLUMNS 6901 - 6902 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on foreignpolicy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR M967139 House incumbent 1996 U.S. Chamber of Commerce score COLUMNS 6903 - 6905 NUMERIC MISSING VALUES: -9 Variable is incumbent's U.S. Chamber of Commerce supportscore Source: U.S. Chamber of Commerce's "1996 How They Voted" ============================== VAR M967140 House incumbent 1996 Party unity support score COLUMNS 6906 - 6907 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Unity score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3464-3465 ============================== VAR M967141 House incumbent 1996 Party unity opposition score COLUMNS 6908 - 6909 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3464-3465 ============================== VAR M967142 House incumbent 1996 Party unity adjusted support score COLUMNS 6910 - 6911 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3464-3465 ============================== VAR M967143 House incumbent 1996 Presidential support score COLUMNS 6912 - 6913 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialSupport Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3458-3459 ============================== VAR M967144 House incumbent 1996 Presidential opposition score COLUMNS 6914 - 6915 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialOpposition Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3458-3459 ============================== VAR M967145 House incumbent 1996 Presidential adjusted support score COLUMNS 6916 - 6917 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedPresidential Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3458-3459 ============================== VAR M967146 House incumbent 1996 Conserv coalition support score COLUMNS 6918 - 6920 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 ConservativeCoalition Support Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3468-3469 ============================== VAR M967147 House incumbent 1996 Conserv coalition opposition score COLUMNS 6921 - 6922 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 ConservativeCoalition Oppostion Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3468-3469 ============================== VAR M967148 House incumbent 1996 Conserv coalition adjusted support COLUMNS 6923 - 6925 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedConservative Coalition Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3468-3469 ============================== VAR M967149 House incumbent 1996 Americans for Democratic Actionscore COLUMNS 6926 - 6928 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, November 1996 ============================== VAR M967150 House incumbent 1996 League of Conservation Voters score COLUMNS 6929 - 6931 NUMERIC MISSING VALUES: -9 Variable is League of Conservation Voters support score Source: League of Conservation Voters Web site (www.lcv.org/lc96) ============================== VAR M967151 House incumbent Committee assignment #1 COLUMNS 6932 - 6934 NUMERIC MISSING VALUES: -9 Variable is incumbent's House committee assignment (#1 of upto three committee assignments listed) [See Committee Assignment Master List] Source: Almanac of American Politics 1996 ============================== VAR M967152 House incumbent rank on Committee #1 COLUMNS 6935 - 6936 NUMERIC MISSING VALUES: -9 Variable is incumbent's rank on House committee #1 Source: Almanac of American Politics 1996 ============================== VAR M967153 House incumbent Committee assignment #2 COLUMNS 6937 - 6939 NUMERIC MISSING VALUES: -9 Variable is incumbent's House committee assignment (#2 of upto three committee assignments listed) [See Committee Assignment Master List] Source: Almanac of American Politics 1996 ============================== VAR M967154 House incumbent rank on Committee #2 COLUMNS 6940 - 6941 NUMERIC MISSING VALUES: -9 Variable is incumbent's rank on House committee #2 Source: Almanac of American Politics 1996 ============================== VAR M967155 House incumbent Committee assignment #3 COLUMNS 6942 - 6944 NUMERIC MISSING VALUES: -9 Variable is incumbent's House committee assignment (#3 of upto three committee assignments listed) [See Committee Assignment Master List] Source: Almanac of American Politics 1996 ============================== VAR M967156 House incumbent rank on Committee #3 COLUMNS 6945 - 6946 NUMERIC MISSING VALUES: -9 Variable is incumbent's rank on House committee #3 Source: Almanac of American Politics 1996 ============================== VAR M967157 Congressional Quarterly pre-election House race outlook COLUMNS 6947 - 6948 NUMERIC MISSING VALUES: -9 Variable is the pre-election Congressional Quarterlyprediction concerning the expected outcome of the House race 0 Safe Democratic 1 Democrat favored 2 Leans Democratic 3 No clear favorite 4 Leans Republican 5 Republican favored 6 Safe Republican Source: Congressional Quarterly Weekly Report, 19 October1996, p. 2965-2969 ============================== VAR M967158 Democratic House candidate prior political experience1996 COLUMNS 6949 - 6950 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byDemocratic House candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR M967159 Republican House candidate prior political experience1996 COLUMNS 6951 - 6952 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byRepublican House candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR M967160 Total votes cast for Democratic House candidate 1996 COLUMNS 6953 - 6958 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Housecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967161 Total votes cast for Republican House candidate 1996 COLUMNS 6959 - 6964 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Housecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967162 Total votes cast in House race 1996 COLUMNS 6965 - 6970 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Housecandidates in race in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR M967163 Campaign receipts by Democratic House candidate 1996 COLUMNS 6971 - 6977 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Democratic House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967164 Campaign expenditures by Democratic House candidate 1996 COLUMNS 6978 - 6984 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Democratic House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967165 Campaign receipts by Republican House candidate 1996 COLUMNS 6985 - 6991 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Republican House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967166 Campaign expenditures by Republican House candidate 1996 COLUMNS 6992 - 6998 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Republican House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR M967167 Total votes cast for Democratic House candidate 1994 COLUMNS 6999 - 7004 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Housecandidate in 1994 election Source: Congressional Quarterly Almanac 1994 ============================== VAR M967168 Total votes cast for Republican House candidate 1994 COLUMNS 7005 - 7010 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Housecandidate in 1994 election Source: Congressional Quarterly Almanac 1994 ============================== VAR M967169 Total votes cast in House race 1994 COLUMNS 7011 - 7016 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Housecandidates in race in 1994 election Source: Congressional Quarterly Almanac 1994 ============================== VAR M967170 Total votes in House district Democratic presidential1992 COLUMNS 7017 - 7022 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast in House district forClinton in 1992 presidential election Source: Congressional Quarterly Almanac 1993 ============================== VAR M967171 Total votes in House district Republican presidential1992 COLUMNS 7023 - 7028 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast in House district forBush in 1992 presidential election Source: Congressional Quarterly Almanac 1993 ============================== VAR M967172 Total votes in House district Independent presidential1992 COLUMNS 7029 - 7033 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast in House district forPerot in 1992 presidential election Source: Congressional Quarterly Almanac 1993 ============================== VAR M967173 Estimated number of DMA households in House district COLUMNS 7034 - 7040 NUMERIC MISSING VALUES: -9 Variable is estimate of number of Designated Market Area(DMA) households in House district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967174 Estimated average DMA cost per point in House district COLUMNS 7041 - 7048 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of average DMA cost per point, acrossall time slots, in House district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967175 Estimated DMA Early News cost per point in House district COLUMNS 7049 - 7056 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Early News inHouse district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967176 Estimated DMA Prime Access cost per point in Housedistrict COLUMNS 7057 - 7064 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Prime Accessin House district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967177 Estimated DMA Prime Time cost per point in House district COLUMNS 7065 - 7073 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Prime Time inHouse district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967178 Estimated DMA Late News cost per point in House district COLUMNS 7074 - 7081 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Late News inHouse district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967179 County percent vote for Clinton 1992 COLUMNS 7082 - 7088 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote cast in county for Clinton in1992 election Source: County and City Data Book 1994 ============================== VAR M967180 County percent vote for Bush 1992 COLUMNS 7089 - 7095 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote cast in county for Bush in 1992election Source: County and City Data Book 1994 ============================== VAR M967181 County percent vote for Perot 1992 COLUMNS 7096 - 7102 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote cast in county for Perot in 1992election Source: County and City Data Book 1994 ============================== VAR M967182 Estimated number of DMA households COLUMNS 7103 - 7109 NUMERIC MISSING VALUES: -9 Variable is estimate of number of Designated Market Area(DMA) households for DMA in which county falls [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967183 Estimated average DMA cost per point COLUMNS 7110 - 7117 NUMERIC DEC 4 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of average DMA cost per point, acrossall time slots [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967184 Estimated DMA Early News cost per point COLUMNS 7118 - 7120 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Early News [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967185 Estimated DMA Prime Access cost per point COLUMNS 7121 - 7123 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Prime Access [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967186 Estimated DMA Prime Time cost per point COLUMNS 7124 - 7127 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Prime Time [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M967187 Estimated DMA Late News cost per point COLUMNS 7128 - 7130 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Late News [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR M970001 COLUMNS 7131 - 7133 NUMERIC 97PI: 1997 Pilot Case ID ============================== VAR M970002 COLUMNS 7134 - 7137 NUMERIC 97PI: 1996 Post-Election Case ID ============================== VAR M970003 COLUMNS 7138 - 7138 NUMERIC 97PI: R Panel Status 1 PARTICIPATED IN 1996 2 PARTICIPATED IN 1996 AND 1994 3 PARTICIPATED IN 1996, 1994, AND 1992 ============================== VAR M970004 COLUMNS 7139 - 7140 NUMERIC 97PI: FIPS State Code 01 ALABAMA 02 ALASKA 04 ARIZONA 05 ARKANSAS 06 CALIFORNIA 08 COLORADO 09 CONNECTICUT 10 DELEWARE 11 WASHINGTON DC 12 FLORIDA 13 GEORGIA 15 HAWAII 16 IDAHO 17 ILLINOIS 18 INDIANA 19 IOWA 20 KANSAS 21 KENTUCKY 22 LOUISIANA 23 MAINE 24 MARYLAND 25 MASSACHUSETTS 26 MICHIGAN 27 MINNESOTA 28 MISSISSIPPI 29 MISSOURI 30 MONTANA 31 NEBRASKA 32 NEVADA 33 NEW HAMPSHIRE 34 NEW JERSEY 35 NEW MEXICO 36 NEW YORK 37 NORTH CAROLINA 38 NORTH DAKOTA 39 OHIO 40 OKLAHOMA 41 OREGON 42 PENNSYLVANIA 44 RHODE ISLAND 45 SOUTH CAROLINA 46 SOUTH DAKOTA 47 TENNESSEE 48 TEXAS 49 UTAH 50 VERMONT 51 VIRGINIA 53 WASHINGTON 54 WEST VIRGINIA 55 WISCONSIN 56 WYOMING ============================== VAR M970005 COLUMNS 7141 - 7142 NUMERIC 97PI: R Congressional District ============================== VAR M970006 COLUMNS 7143 - 7143 NUMERIC 97PI: Date and Time of VQ 1 11:44:26 09/04/97 2 13:38:48 09/09/97 3 16:55:44 09/11/97 ============================== VAR M970007 COLUMNS 7144 - 7144 NUMERIC A0. 97PI: R contacted by other polit Let me begin by asking, other than this University of Michigan study, since last year's presidential election, did you participate in any other survey or poll about politics? 1 YES 5 NO 8 DON'T KNOW/RECALL, NOT SURE ============================== VAR M970008 COLUMNS 7145 - 7145 NUMERIC A1a. 97PI: A-S: Split Ballot - Early v. Late Random split half - A1-A5 and S1-S5 1 R assigned to A1-A5 2 R assigned to S1-S5 ============================== VAR M970009 COLUMNS 7146 - 7146 NUMERIC A1/S1. 97PI: Attention to govt/pub Some people seem to follow what's going on in the government and public affairs most of the time, whether there is an election or not. Others aren't that interested. Would you say that you follow what's going on in government and public affairs most of the time, some of the time, only now and then, or hardly at all? Note: This variable combines the early and late placements of A1 and S1. 1 MOST OF THE TIME 3 SOME OF THE TIME 5 ONLY NOW AND THEN 7 HARDLY AT ALL ============================== VAR M970010 COLUMNS 7147 - 7147 NUMERIC A2/S2 97PI: People attitudes similar to In terms of general attitudes and beliefs, how similar would you say other people are to you -- very similar, somewhat similar, not very similar, or not at all similar? Note: This variable combines the early and late placements of A2 and S2. 1 VERY SIMILAR 3 SOMEWHAT SIMILAR 5 NOT VERY SIMILAR 7 NOT AT ALL SIMILAR 8 DK 9 NA; RF ============================== VAR M970011 COLUMNS 7148 - 7148 NUMERIC A3/S3 97PI: Can one trust people Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? Note: This variable combines the early and late placements of A3 and S3. 1 MOST PEOPLE CAN BE TRUSTED 5 CAN'T BE TOO CAREFUL IN DEALING WITH PEOPLE 8 DK 9 NA; RF ============================== VAR M970012 COLUMNS 7149 - 7149 NUMERIC A4/S4 97PI: People take advantage of R Do you think that most people would try to take advantage of you if they got the chance or would they try to be fair? Note: This variable combines the early and late placements of A4 and S4. 1 TAKE ADVANTAGE 5 TRY TO BE FAIR 0 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN ============================== VAR M970013 COLUMNS 7150 - 7150 NUMERIC A5/S5 97PI: How often trust in govt People have different ideas about the government in Washington. These ideas don't refer to the Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: How much of the time can you trust the government in Washington to do what is right -- just about always, most of the time, or only some of the time? Note: This variable combines the early and late placements of A5 and S5. 1 JUST ABOUT ALWAYS 3 MOST OF THE TIME 5 ONLY SOME OF THE TIME 7 NONE OF THE TIME [VOL] 9 NA; RF ============================== VAR M970014 COLUMNS 7151 - 7151 NUMERIC B0. 97PI: People like R have say in [FIRST USE OF THE RB] Please take out the respondent booklet and open it to page 1. Please tell me how much you agree with the statement: "People like me don't have any say in what the government does." 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK ============================== VAR M970015 COLUMNS 7152 - 7152 NUMERIC B1. 97PI: Days watch ntl news last Putting the booklet aside for a moment, this group of questions is about the media: TV, newspapers, and radio. First, how many days in the past week did you watch the national news on TV? 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE 6 SIX 7 SEVEN 8 DK ============================== VAR M970016 COLUMNS 7153 - 7153 NUMERIC B2. 97PI: Days watch local news last How many days in the past week did you watch the local TV news, for example, "Eyewitness News" or "Action News"? 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE 6 SIX 7 SEVEN 8 DK ============================== VAR M970017 COLUMNS 7154 - 7154 NUMERIC B3. 97PI: Days read newspaper last How many days in the past week did you read a daily newspaper? 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE 6 SIX 7 SEVEN 8 DK ============================== VAR M970018 COLUMNS 7155 - 7155 NUMERIC B4. 97PI: R listen to pol talk radio There are a number of programs on radio in which people call in to voice their opinions about politics. Do you ever listen to political talk radio programs of this type? 1 YES, LISTEN 5 NO, DON'T LISTEN ============================== VAR M970019 COLUMNS 7156 - 7156 NUMERIC B4a. 97PI: Freq R listens to talk radio IF R LISTENS TO POLITICAL TALK RADIO: How often do you listen to those programs -- every day, most days, once or twice a week, or only occasionally? 1 EVERY DAY 3 MOST DAYS 5 ONCE OR TWICE A WEEK 7 ONLY OCCASIONALLY 0 INAP, 5 IN B4 ============================== VAR M970020 COLUMNS 7157 - 7157 NUMERIC B4b. 97PI: Atten paid to pol talk radio IF R LISTENS TO POLITICAL TALK RADIO: Some people listen carefully to these talk radio programs while others just keep them on in the background while they do other things. How about you? When you turn on a political talk radio program, would you say you pay very close attention, fairly close attention, occasional attention, or very little attention? 1 VERY CLOSE ATTENTION 3 FAIRLY CLOSE ATTENTION 5 OCCASIONAL ATTENTION 7 VERY LITTLE ATTENTION 0 INAP, 5 IN B4 8 DK 9 NA; RF ============================== VAR M970021 COLUMNS 7158 - 7158 NUMERIC B4c. 97PI: R ever listen to Limbaugh IF R LISTENS TO POLITICAL TALK RADIO: Do you ever listen to the Rush Limbaugh Show? IWER: IF R VOLUNTEERS THAT THEY ONLY WATCH HIM ON TV, CODE '5' AND CONTINUE W/O COMMENT. 1 YES, LISTEN 5 NO, DON'T LISTEN 0 INAP, 5 IN B4 ============================== VAR M970022 COLUMNS 7159 - 7159 NUMERIC B4d. 97PI: Freq R listen to Limbaugh IF R LISTENS TO THE RUSH LIMBAUGH SHOW: How often do you listen to Rush Limbaugh -- every day, most days, once or twice a week, or only occasionally? 1 EVERY DAY 3 MOST DAYS 5 ONCE OR TWICE A WEEK 7 ONLY OCCASIONALLY 0 INAP, 5 IN B4, 5 IN B4C ============================== VAR M970023 COLUMNS 7160 - 7160 NUMERIC B4e. 97PI: Know what EIB stands for IF R LISTENS TO THE RUSH LIMBAUGH SHOW: Thinking about the Rush Limbaugh radio program, do you happen to know what the initials E.I.B. stand for? 1 EXCELLENCE IN BROADCASTING 5 ANYTHING ELSE 0 INAP, 5 IN B4, 5 IN B4C 8 DON'T KNOW, CAN'T SAY ============================== VAR M970024A COLUMNS 7161 - 7163 NUMERIC C1(1) 97PI: Which groups most like R-Mention 1 We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you? (Any other groups?) (PROBE UNTIL R SAYS 'NO') MENTION 1 See Master Codes Appendix C. 998 DK 999 NA ============================== VAR M970024B COLUMNS 7164 - 7166 NUMERIC C1(2) 97PI: Which groups most like R-Mention 2 (We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you?) (Any other groups?) (PROBE UNTIL R SAYS 'NO') MENTION 2 See Master Codes Appendix C. 0. 998,999 in C1(1); no further mention ============================== VAR M970024C COLUMNS 7167 - 7169 NUMERIC C1(3) 97PI: Which groups most like R-Mention 3 (We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you?) (Any other groups?) (PROBE UNTIL R SAYS 'NO') MENTION 3 See Master Codes Appendix C. 0. 998,999 in C1(1); no further mention ============================== VAR M970024D COLUMNS 7170 - 7172 NUMERIC C1(4) 97PI: Which groups most like R-Mention 4 (Any other groups?) (PROBE UNTIL R SAYS 'NO') (We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you?) MENTION 4 See Master Codes Appendix C. 0. 998,999 in C1(1); no further mention ============================== VAR M970024E COLUMNS 7173 - 7175 NUMERIC C1(5) 97PI: Which groups most like R-Mention 5 (Any other groups?) (PROBE UNTIL R SAYS 'NO') (We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you?) MENTION 5 See Master Codes Appendix C. 0. 998,999 in C1(1); no further mention ============================== VAR M970024F COLUMNS 7176 - 7177 NUMERIC C1(6) 97PI: Which groups most like R-Mention 6 (We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you?) (Any other groups?) (PROBE UNTIL R SAYS 'NO') MENTION 6 See Master Codes Appendix C. 0. 998,999 in C1(1); no further mention ============================= VAR M970024G COLUMNS 7178 - 7180 NUMERIC C1(7) 97PI: Which groups most like R-Mention 7 (We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you?) (Any other groups?) (PROBE UNTIL R SAYS 'NO') MENTION 7 See Master Codes Appendix C. 0. 998,999 in C1(1); no further mention ============================== VAR M970025 COLUMNS 7181 - 7181 NUMERIC C1(i) 97 PI: IWR CHECKPOINT - # of groups This variable is the interviewer's assessment of number of groups mentioned in R's response. 0 IWR SELECTED NO GROUPS 1 IWR SELECTED (IDENTIFIED) 1 GROUP 2 IWR SELECTED (IDENTIFIED) 2 OR MORE GROUPS ============================== VAR M970026 COLUMNS 7182 - 7182 NUMERIC C1(ii) 97 PI: Actual # of groups This variable is the actual number of groups mentioned in R's response. Note: if 6 is coded here, the 'choice' mention (C1a) is coded in summary C1x. IWR CHECKPOINT C1(i) CORRECT: 0 No groups -- 'CHOICE' NOT ASKED 1 Only 1 group -- 'CHOICE' NOT ASKED 2 2 or more groups -- 'CHOICE' ASKED IWR CHECKPOINT C1(ii) NOT CORRECT: 5 Only 1 group but IWR identified 2 or more groups and asked 'Choice' --'CHOICE' SAME AS INITIAL MENTION 6 Only 1 group but IWR identified 2 or more groups and asked 'Choice' -- 'CHOICE' NOT SAME AS INITIAL MENTION 7 2 or more groups but IWR identified 1 group -- 'CHOICE' NOT ASKED ============================== VAR M970027 COLUMNS 7183 - 7185 NUMERIC C1a 97 PI: Choice - which group most like R IF R HAS MENTIONED 2 OR MORE GROUPS AND IWR HAS IDENTIFIED MORE THAN 1 GROUP / IF R HAS MENTIONED ONLY 1 GROUP BUT IWR HAS IDENTIFIED MORE THAN 1 GROUP: Of the groups you've just mentioned, which one do you feel closest to? See C1(ii) above. See Master Codes Appendix C. 998. DK 999. NA 000. Inap, no groups (0 in C1(ii)); only 1 group and IWR checkpoint correct (1 in C1(ii)); 2 groups but IWR identified only 1 group (7 in C1(ii) ============================== VAR M970028 COLUMNS 7186 - 7188 NUMERIC C1X 97 PI: Summary - which group most like R We are interested in finding out what kinds of people you think are most like you --in their ideas and interests and feelings about things. Thinking about the different groups in society, which ones would you say are most like you? (Any other groups?) (PROBE UNTIL R SAYS 'NO') (Of the groups you've just mentioned, which one do you feel closest to?) If R identified only 1 group and was not asked the 'choice' question [1 in C1(ii)] this variable duplicates R's single mention in C1(1). This variable is identical to C1a for all cases where IWR asked the followup 'choice' question [2,5,6 in C1(ii)]. For cases where the 'choice' question should have been asked but was not [7 in C1(ii)] this variable contains the first valid response given by R [C1(1)]. In all cases where R gave only one response but was asked the 'choice' question by the IWR [5,6 in C1(ii)], the 'choice' mention rather than initial mention is included here. See Master Codes Appendix C. 998. DK 999. NA 000. Inap, no groups (0 in C1a2) ============================== VAR M970029 COLUMNS 7189 - 7189 NUMERIC C2. 97PI: R recall Representative Thinking about specific political leaders, do you happen to remember the name of your representative in congress -- that is, your member of the House of Representatives in Washington? [IF NECESSARY:] (What is the name?) 1 YES, NAMES [REPRESENTATIVE] 3 YES, NAMES SOMEONE ELSE (SPECIFY) 5 NO ============================== VAR M970030 COLUMNS 7190 - 7190 NUMERIC C3. 97PI: R recall Senator names And how about the two U.S. Senators from your state. Do you happen to remember what their names are? [IF NECESSARY:] (What are their names?) 1 YES, NAMES [SENATOR 1] AND [SENATOR 2] 2 YES, NAMES [SENATOR 1] BUT DK OTHER SENATOR 3 YES, NAMES [SENATOR 2] BUT DK OTHER SENATOR 4 YES, BUT NAMES ONE OR TWO OTHER SENATORS (SPECIFY) 5 NO, DK, CAN'T RECAL D1. [USING THE RB] Now looking at page 2 of the booklet, I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. ============================== VAR M970031 COLUMNS 7191 - 7193 NUMERIC D1a. 97PI: FT Clinton (Looking at page 2 of the booklet) (How would you rate) Bill Clinton? See D1 for complete question text. Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970032 COLUMNS 7194 - 7196 NUMERIC D1b. 97PI: FT Representative (Looking at page 2 of the booklet) (How would you rate) [Representative]? See D1 for complete question text. Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 998 NA; RF ============================== VAR M970033 COLUMNS 7197 - 7199 NUMERIC D1c. 97PI: FT Senator 1 (Looking at page 2 of the booklet) (How would you rate) [Senator 1] See D1 for complete question text. Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970034 COLUMNS 7200 - 7202 NUMERIC D1d. 97PI: FT Senator 2 (Looking at page 2 of the booklet) (How would you rate) [Senator 2] See D1 for complete question text. Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970035 COLUMNS 7203 - 7205 NUMERIC D1e. 97PI: FT Trent Lott (Looking at page 2 of the booklet) (How would you rate) Trent Lott? See D1 for complete question text. Note: Order of names D1e-D1i was randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970036 COLUMNS 7206 - 7208 NUMERIC D1f. 97PI: FT Hillary Clinton (Looking at page 2 of the booklet) (How would you rate) Hillary Clinton? See D1 for complete question text. Note: Order of names D1e-D1i was randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 996 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970037 COLUMNS 7209 - 7211 NUMERIC D1g. 97PI: FT Al Gore (Looking at page 2 of the booklet) (How would you rate) Al Gore? See D1 for complete question text. Note: Order of names D1e-D1i was randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970038 COLUMNS 7212 - 7214 NUMERIC D1h. 97PI: FT Rush Limbaugh (Looking at page 2 of the booklet) (How would you rate) Rush Limbaugh? See D1 for complete question text. Note: Order of names D1e-D1i was randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970039 COLUMNS 7215 - 7217 NUMERIC D1i. 97PI: FT Newt Gingrich (Looking at page 2 of the booklet) (How would you rate) Newt Gingrich? See D1 for complete question text. Note: Order of names D1e-D1i was randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 R DOESN'T RECOGNIZE NAME 998 DK WHERE TO RATE; CAN'T JUDGE 998 NA; RF D2. And still using the feeling thermometer, how would you rate the following groups? ============================== VAR M970040 COLUMNS 7218 - 7220 NUMERIC D2a. 97PI: FT Blacks (Looking at page 2 of the booklet) (How would you rate) Blacks? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970041 COLUMNS 7221 - 7223 NUMERIC D2b. 97PI: FT Whites (Looking at page 2 of the booklet) (How would you rate) Whites? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970042 COLUMNS 7224 - 7226 NUMERIC D2c. 97PI: FT Hispanics (Looking at page 2 of the booklet) (How would you rate) Hispanics? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970043 COLUMNS 7227 - 7229 NUMERIC D2d. 97PI: FT Men (Looking at page 2 of the booklet) (How would you rate) Men? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970044 COLUMNS 7230 - 7232 NUMERIC D2e. 97PI: FT Women (Looking at page 2 of the booklet) (How would you rate) Women? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970045 COLUMNS 7233 - 7235 NUMERIC D2f. 97PI: FT The Federal Government (Looking at page 2 of the booklet) (How would you rate) The Federal Government? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970046 COLUMNS 7236 - 7238 NUMERIC D2g. 97PI: FT Congress (Looking at page 2 of the booklet) (How would you rate) Congress? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970047 COLUMNS 7239 - 7241 NUMERIC D2h. 97PI: FT Supreme Court (Looking at page 2 of the booklet) (How would you rate) Supreme Court? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970048 COLUMNS 7242 - 7244 NUMERIC D2i. 97PI: FT Christian Fundamentalists (Looking at page 2 of the booklet) (How would you rate) Christian Fundamentalists? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970049 COLUMNS 7245 - 7247 NUMERIC D2ja. 97PI: FT Opponents of Abortion (Looking at page 2 of the booklet) (How would you rate) Opponents of Abortion? Note: R assigned either Opponents of Abortion/Supporters of Abortion or Pro-Choice People/Pro-Life People. See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 INAP, ASSIGNED D2JB 998 DK 999 NA, RF ============================== VAR M970050 COLUMNS 7248 - 7250 NUMERIC D2jb. 97PI: FT Pro-life people (Looking at page 2 of the booklet) (How would you rate) Pro-life people? Note: R assigned either Opponents of Abortion/Supporters of Abortion or Pro-Choice People/Pro-Life People. See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 INAP, ASSIGNED D2JA 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970051 COLUMNS 7251 - 7253 NUMERIC D2ka. 97PI: FT Supporters of Abortion (Looking at page 2 of the booklet) (How would you rate) Supporters of Abortion? Note: R assigned either Opponents of Abortion/Supporters of Abortion or Pro-Choice People/Pro-Life People. See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 INAP, ASSIGNED TO D2KB 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970052 COLUMNS 7254 - 7256 NUMERIC D2kb. 97PI: FT Pro-choice people (Looking at page 2 of the booklet) (How would you rate) Pro-choice people? Note: R assigned either Opponents of Abortion/Supporters of Abortion or Pro-Choice People/Pro-Life People. See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 997 INAP, ASSIGNED D2KA 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970053 COLUMNS 7257 - 7259 NUMERIC D2l. 97PI: FT Feminists (Looking at page 2 of the booklet) (How would you rate) Feminists? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970054 COLUMNS 7260 - 7262 NUMERIC D2m. 97PI: FT Gays and Lesbians (Looking at page 2 of the booklet) (How would you rate) Gays and Lesbians? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970055 COLUMNS 7263 - 7265 NUMERIC D2n. 97PI: FT Labor Unions (Looking at page 2 of the booklet) (How would you rate) Labor Unions? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970056 COLUMNS 7266 - 7268 NUMERIC D2o. 97PI: FT Big Business (Looking at page 2 of the booklet) (How would you rate) Big Business? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970057 COLUMNS 7269 - 7271 NUMERIC D2p. 97PI: FT People on Welfare (Looking at page 2 of the booklet) (How would you rate) People on welfare? See D2 for complete question text. Note: Order of group names D2a-D2p randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." Ratings 0-100 and: 998 DK WHERE TO RATE; CAN'T JUDGE 999 NA; RF ============================== VAR M970058 COLUMNS 7272 - 7272 NUMERIC 97PI: Early v Late Placement - E1a/L17a Variable relates to the split ballot placement of questions E1a/E1b and L17a/L17b. 1 R ASSIGNED E1A - L17B 2 R ASSIGNED E1B-L17A ============================== VAR M970059 COLUMNS 7273 - 7273 NUMERIC E1a/L17a 97PI: How likely to vote Representative Now, not using the booklet, if an election were held today, how likely is it that you would vote for your current representative, [REPRESENTATIVE NAME]? Very likely, somewhat likely, not very likely, or not at all likely? Note: This variable combines the responses from question E1a and L17a. 1 VERY LIKELY 2 SOMEWHAT LIKELY 3 NOT VERY LIKELY 4 NOT AT ALL LIKELY 5 R DOESN'T VOTE [VOL] 8 DK 9 NA, RF ============================== VAR M970060 COLUMNS 7274 - 7276 NUMERIC E1b/L17b. 97PI: Percent chance to vote Representative Now, not using the booklet, if an election were held today, how likely is it that you would vote for your current representative, [REPRESENTATIVE NAME], where zero means there is no chance that you would vote for [HIM/HER] and 100 means you would be certain to vote for [HIM/HER]? Note: This variable combines the responses from question E1b and L17b. Percentages 0-100 and: 996 INAP, 8 IN E1a OR L17a 997 R DOESN'T VOTE [VOL] 998 NOT SURE, CAN'T SAY 999 NA, RF ============================== VAR M970061 COLUMNS 7277 - 7277 NUMERIC F0. 97PI: Respondent Booklet color For the next few questions, I need to know the color of the cover on your booklet. (Could you please tell me the color of the cover on your booklet?) 1 BLUE 5 YELLOW 7 R DOESN'T HAVE BOOKLET F1a. Looking at page 3 of the booklet, there is a list of groups. Please read over the list and tell me the number for those groups you feel particularly close to -- people who are most like you in their ideas and interests and feelings about things. Note: Each group chosen from the list is indicated as mentioned/ not mentioned in V970062-V970078. POOR PEOPLE ASIAN-AMERICANS LIBERALS THE ELDERLY BLACKS LABOR UNIONS FEMINISTS SOUTHERNERS BUSINESS PEOPLE YOUNG PEOPLE CONSERVATIVES HISPANIC-AMERICANS WOMEN WORKING-CLASS PEOPLE WHITES MIDDLE-CLASS PEOPLE MEN NONE OF THESE [VOL.];E ============================== VAR M970062 COLUMNS 7278 - 7278 NUMERIC 97PI: R feel close to Poor People IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Poor People" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 in F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970063 COLUMNS 7279 - 7279 NUMERIC 97PI: R feel close Asian-Americans IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Asian-Americans" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970064 COLUMNS 7280 - 7280 NUMERIC 97PI: R feel close to Liberals IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Liberals" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970065 COLUMNS 7281 - 7281 NUMERIC 97PI: R feel close to The Elderly IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "The Elderly" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970066 COLUMNS 7282 - 7282 NUMERIC 97PI: R feel close to Blacks IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Blacks" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970067 COLUMNS 7283 - 7283 NUMERIC 97PI: R feel close to Labor Unions IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Labor Unions" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970068 COLUMNS 7284 - 7284 NUMERIC 97PI: R feel close to Feminists IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Feminists" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970069 COLUMNS 7285 - 7285 NUMERIC 97PI: R feel close to Southerners IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Southerners" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970070 COLUMNS 7286 - 7286 NUMERIC 97PI: R feel close to Business People IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Business People" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970071 COLUMNS 7287 - 7287 NUMERIC 97PI: R feel close to Young People IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Young People" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970072 COLUMNS 7288 - 7288 NUMERIC 97PI: R feel close to Conservatives IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Conservatives" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970073 COLUMNS 7289 - 7289 NUMERIC 97PI: R feel close to Hispanic IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Hispanic-Americans" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970074 COLUMNS 7290 - 7290 NUMERIC 97PI: R feel close to Women IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Women" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5, 7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970075 COLUMNS 7291 - 7291 NUMERIC 97PI: R feel close to Working Class IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Working-Class People" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970076 COLUMNS 7292 - 7292 NUMERIC 97PI: R feel close to Whites IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Whites" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970077 COLUMNS 7293 - 7293 NUMERIC 97PI: R feel close to Middle-Class IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Middle-Class People" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970078 COLUMNS 7294 - 7294 NUMERIC 97PI: R feel close to Men IF R HAS A BLUE BOOKLET: [RB] Groups R feels close to: "Men" See F1a for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 5,7 IN F0 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970079 COLUMNS 7295 - 7296 NUMERIC F1a1. 97PI: Group R closest to IF R HAS A BLUE BOOKLET: Look at the list again. Of the groups you just mentioned, which one do you feel the closest to? 01 POOR PEOPLE 02 ASIAN-AMERICANS 03 LIBERALS 04 THE ELDERLY 05 BLACKS 06 LABOR UNIONS 07 FEMINISTS 08 SOUTHERNERS 09 BUSINESS PEOPLE 10 YOUNG PEOPLE 11 CONSERVATIVES 12 HISPANIC-AMERICANS 13 WOMEN 14 WORKING-CLASS PEOPLE 15 WHITES 16 MIDDLE-CLASS PEOPLE 17 MEN 00 INAP, 5,7 IN F0, NONE IN F1 96 DON'T FEEL CLOSEST TO ANY OF THESE [VOL] F1b. [USING RB, IF AVAILABLE] Looking at page 3 of the booklet, there is a list of groups. Please read over the list and tell me the number for those groups you feel particularly close to -- people who are most like you in their ideas and interests and feelings about things. F1b. [NO RB] I'll read a list of groups. Please tell me the number for those groups you feel particularly close to -- people who are most like you in their ideas and interests and feelings about things. BLACKS WHITES CHRISTIAN FUNDAMENTALISTS MIDDLE-CLASS PEOPLE WORKING-CLASS PEOPLE HISPANIC-AMERICANS YOUNG PEOPLE WOMEN POOR PEOPLE PEOPLE AT YOUR PLACE OF WORSHIP PEOPLE IN YOUR NEIGHBORHOOD PEOPLE AT WORK AMERICANS IN GENERAL NONE OF THESE [VOL.] Note: Each group from the list is indicated as mentioned/not mentioned in V970080-V970092. ============================== VAR M970080 COLUMNS 7297 - 7297 NUMERIC 97PI: R feel close to Blacks IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Blacks" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970081 COLUMNS 7298 - 7298 NUMERIC 97PI: R feel close to Whites IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Whites" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970082 COLUMNS 7299 - 7299 NUMERIC 97PI: R feel close to Christian Fund IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Christian Fundamentalists" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970083 COLUMNS 7300 - 7300 NUMERIC 97PI: R feel close to Middle Class IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Middle-Class People" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970084 COLUMNS 7301 - 7301 NUMERIC 97PI: R feel close to Working Class IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Working-Class People" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970085 COLUMNS 7302 - 7302 NUMERIC 97PI: R feel close to Hispanics IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Hispanic-Americans" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970086 COLUMNS 7303 - 7303 NUMERIC 97PI: R feel close to Young People IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: 'Young People' See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970087 COLUMNS 7304 - 7304 NUMERIC 97PI: R feel close to Women IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Women" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970088 COLUMNS 7305 - 7305 NUMERIC 97PI: R feel close to Poor People IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Poor People" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970089 COLUMNS 7306 - 7306 NUMERIC 97PI: R feel close to People..Worship IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "People at Your Place of Worship" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970090 COLUMNS 7307 - 7307 NUMERIC 97PI: R feel close to People..Neighbor IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "People in Your Neighborhood" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970091 COLUMNS 7308 - 7308 NUMERIC 97PI: R feel close to People..work IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "People at Work" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970092 COLUMNS 7309 - 7309 NUMERIC 97PI: R feel close to Americans IF R HAS A YELLOW BOOKLET OR NO BOOKLET: [RB] Groups R feels close to: "Americans in General" See F1b for complete question text. 1 MENTIONED/MARKED 5 NOT MENTIONED/NOT MARKED 0 INAP, 1 IN F0. 8 REFUSED ENTIRE SERIES 9 DK/NA TO ENTIRE SERIES ============================== VAR M970093 COLUMNS 7310 - 7311 NUMERIC F1b1. 97PI: Group R closest to IF R HAS A YELLOW BOOKLET OR NO BOOKLET: Look at the list again. Of the groups you just mentioned, which one do you feel the closest to? 01 BLACKS 02 WHITES 03 CHRISTIAN FUNDAMENTALISTS 04 MIDDLE-CLASS PEOPLE 05 WORKING CLASS PEOPLE 06 HISPANICS 07 YOUNG PEOPLE 08 WOMEN 09 POOR PEOPLE 10 PEOPLE AT YOUR PLACE OF WORSHIP 11 PEOPLE IN YOUR NEIGHBORHOOD 12 PEOPLE AT WORK 13 AMERICANS IN GENERAL 00 INAP, NONE IN F1b1, 1 IN F0 96 DON'T FEEL CLOSE TO ANY OF THESE [VOL] 99 NA; RF ============================== VAR M970094 COLUMNS 7312 - 7312 NUMERIC F2. 97PI: Num days R talk to closest IF R MENTIONS CLOSEST GROUP: How many days in the past week did you talk to [closest group]? 0 NONE 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE 6 SIX 7 SEVEN 8 DK 9 NA, RF; 13 OR 96 in F1b1; NO CODE '1' IN V970080-V9700 ============================== VAR M970095 COLUMNS 7313 - 7313 NUMERIC F3. 97PI: Belong to interest group IF R MENTIONS CLOSEST GROUP: Do you belong to any organizations or take part in any activities that represent the interests and view points of [closest group]? 1 YES 5 NO 0 INAP, 13 OR 96 in F1b1; NO CODE '1' IN V970080-V970092 9 NA, RF ============================== VAR M970096 COLUMNS 7314 - 7315 NUMERIC G1. [USING RB] Some people think the government should provide fewer services even in areas such as health and education in order to reduce spending. Suppose these people are at one end of a scale, at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between, at points 2, 3, 4, 5 or 6. Where would you place yourself on this scale, or haven't you thought much about this? G1. 97PI: Scale serv/spend - self [RB] Where would you place yourself on this scale, or haven't you thought much about this? 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 96 HAVEN'T THOUGHT MUCH ABOUT THIS ============================== VAR M970097 COLUMNS 7316 - 7316 NUMERIC G2a. 97PI: Scale serv/spend - Dem Party [RB] (Where would you place) the Democratic Party (on this scale)? Note: Order of G2a and G2b randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 0 INAP, 96 IN G1 8 DK 9 NA; RF ============================== VAR M970098 COLUMNS 7317 - 7317 NUMERIC G2b. 97PI: Scale serv/spend - Rep Party [RB] (Where would you place) the Republican Party (on this scale)? Note: Order of G2a and G2b randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 0 INAP, 96 IN G1 8 DK 9 NA; RF ============================== VAR M970099 COLUMNS 7318 - 7318 NUMERIC G3. 97PI: Scale serv/spend - Blacks [RB] (Where would you place) most Blacks (on this scale)? Note: Order of G3- G8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 0 INAP, 96 IN G1 8 DK 9 NA; RF ============================== VAR M970100 COLUMNS 7319 - 7319 NUMERIC G4. 97PI: Scale serv/spend - Whites [RB] (Where would you place) most Whites (on this scale)? Note: Order of G3- G8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 0 INAP, 96 IN G1 8 DK 9 NA; RF ============================== VAR M970101 COLUMNS 7320 - 7320 NUMERIC G5. 97PI: Scale serv/spend - Gays/Lesbians [RB] (Where would you place) most Gays and Lesbians (on this scale)? Note: Order of G3- G8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 0 INAP, 96 IN G1; INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 8 DK 9 NA; RF ============================== VAR M970102 COLUMNS 7321 - 7321 NUMERIC G6. 97PI: Scale serv/spend - Christian Fund [RB] (Where would you place) most Christian Fundamentalists (on this scale)? Note: Order of G3- G8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD PROVIDE MANY FEWER SERVICES, REDUCE SPENDING A LOT 2 3 4 5 6 7 GOVERNMENT SHOULD PROVIDE MANY MORE SERVICES, INCREASE SPENDING A LOT 0 INAP, 96 IN G1; INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 8 DK 9 NA; RF ============================== VAR M970103 COLUMNS 7322 - 7322 NUMERIC H1. 97PI: R party ID The next few questions do not require the booklet. Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? 1 DEMOCRAT 2 REPUBLICAN 3 INDEPENDENT 4 OTHER PARTY 5 NO PREFERENCE 8 DK 9 NA; RF ============================== VAR M970104 COLUMNS 7323 - 7323 NUMERIC H1a. 97PI: R partisan strength IF R CONSIDERS SELF REPUBLICAN / IF R CONSIDERS SELF DEMOCRAT: a. Would you call yourself a strong Republican or a not very strong Republican? b. Would you call yourself a strong Democrat or a not very strong Democrat? 1 STRONG 5 NOT VERY STRONG 0 INAP, 3,4,5,8,9 IN H1 8 DK ============================== VAR M970105 COLUMNS 7324 - 7324 NUMERIC H1b. 97PI: R closer to Rep/Dem IF R CONSIDERS SELF INDEPENDENT, NO PREFERENCE, OTHER: Do you think of yourself as closer to the Republican Party or to the Democratic Party? 1 CLOSER TO REPUBLICAN 3 NEITHER [VOL] 5 CLOSER TO DEMOCRATIC 0 INAP, 1,2,8,9 IN H1 8 DK 9 NA, RF ============================== VAR M970106 COLUMNS 7325 - 7325 NUMERIC H1c. 97PI: Summary - Party ID SUMMARY - PARTY ID 0 STRONG DEMOCRAT 1 WEAK DEMOCRAT 2 INDEPENDENT-DEMOCRAT 3 INDEPENDENT-INDEPENDENT 4 INDEPENDENT-REPUBLICAN 5 WEAK REPUBLICAN 6 STRONG REPUBLICAN 7 OTHER; MINOR PARTY; REFUSES TO SAY 8 APOLITICAL 9 NA ============================== VAR M970107 COLUMNS 7326 - 7326 NUMERIC blkdem 97PI: How do blacks vote - Dem Generally, how do you think Blacks tend to vote in national elections? Do Blacks tend to vote Democratic, tend to vote Republican, or are they evenly split? Note: R randomly assigned to question wording blkdem/blkrep to vary WHICH PARTY came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED TO BLKREP 8 DK ============================== VAR M970108 COLUMNS 7327 - 7327 NUMERIC blkrep 97PI: How do blacks vote - Rep Generally, how do you think Blacks tend to vote in national elections? Do Blacks tend to vote Republican, tend to vote Democratic, or are they evenly split? Note: R randomly assigned to question wording blkdem/blkrep to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED TO BLKDEM 8 DK ============================== VAR M970109 COLUMNS 7328 - 7328 NUMERIC blkadem 97PI: All Blacks vote Dem IF R SAYS THAT BLACKS VOTE DEMOCRATIC: Would you say that almost all Blacks vote Democratic? Note: R randomly assigned to blkadem/blkbdem follow-up. 1 YES 5 NO 0 INAP, ASSIGNED TO BLKBDEM, 1,5,8 in blkrep or blkdem 8 DK ============================== VAR M970110 COLUMNS 7329 - 7331 NUMERIC blkbdem 97PI: Perct Blacks vote Dem IF R SAYS THAT BLACKS VOTE DEMOCRATIC: What percentage do you think vote Democratic? If you think all Blacks vote Democratic, then you would say 100 percent. If you think only a few more than half vote Democratic, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent. Note: R randomly assigned to blkadem/blkbdem follow-up: Percentages 50-100 and: 000 INAP, ASSIGNED BLKADEM, 1,5,8 in blkrep or blkdem 998 DK 999 NA, RF ============================== VAR M970111 COLUMNS 7332 - 7332 NUMERIC blkarep 97PI: All Blacks vote Rep IF R SAYS THAT BLACKS VOTE REPUBLICAN: Would you say that almost all Blacks vote Republican? Note: R randomly assigned to blkarep/blkbrep follow-up: 1 YES 5 NO 0 INAP, ASSIGNED BLKBREP, 3,5,8 in blkrep or blkdem ============================== VAR M970112 COLUMNS 7333 - 7335 NUMERIC blkbrep 97PI: Perct Blacks vote Rep IF R SAYS THAT BLACKS VOTE REPUBLICAN: What percentage do you think vote Republican? If you think all Blacks vote Republican, then you would say 100 percent. If you think only a few more than half vote Republican, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent. Note: R randomly assigned to blkarep/blkbrep follow-up: Percentages 50-100 and: 000 INAP, ASSIGNED BLKAREP, 3,5,8 in blkrep or blkdem ============================== VAR M970113 COLUMNS 7336 - 7336 NUMERIC whidem 97PI: How do whites vote - Dem Generally, how do you think whites tend to vote in national elections? Do whites tend to vote Democratic, tend to vote Republican, or are they evenly split? Note: R randomly assigned to question wording whidem/whirep to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED WHIREP 8 DK ============================== VAR M970114 COLUMNS 7337 - 7337 NUMERIC whirep 97PI: How do whites vote - Rep Generally, how do you think whites tend to vote in national elections? Do whites tend to vote Republican, tend to vote Democratic, or are they evenly split? Note: R randomly assigned to question wording whidem/whirep to vary wh party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED WHIDEM 8 DK 9 NA, RF ============================== VAR M970115 COLUMNS 7338 - 7338 NUMERIC whiadem 97PI: All Whites vote Dem IF R SAYS THAT WHITES VOTE DEMOCRATIC: Would you say that almost all Whites vote Democratic? Note: R randomly assigned to whiadem/whibdem follow-up. 1 YES 5 NO 0 INAP, ASSIGNED WHIBDEM, 1,5,8,9 in whirep or whidem ============================== VAR M970116 COLUMNS 7339 - 7341 NUMERIC whibdem 97PI: Perct Whites vote Dem IF R SAYS THAT WHITES VOTE DEMOCRATIC: What percentage do you think vote Democratic? (If you think all Whites vote Democratic, then you would say 100 percent. If you think only a few more than half vote Democratic, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to whiadem/whibdem follow-up. Percentages 50-100 and: 0 INAP, ASSIGNED WHIADEM, 1,5,8,9 in whirep or whidem ============================== VAR M970117 COLUMNS 7342 - 7342 NUMERIC whiarep 97PI: All Whites vote Rep IF R SAYS THAT WHITES VOTE REPUBLICAN: Would you say that almost all Whites vote Republican? Note: R randomly assigned to whiarep/whibrep follow-up. 1 YES 5 NO 0 INAP, ASSIGNED WHIBREP, 3,5,8,9 in whirep or whidem 8 DK ============================== VAR M970118 COLUMNS 7343 - 7345 NUMERIC whibrep 97PI: Perct Whites vote Rep IF R SAYS THAT WHITES VOTE REPUBLICAN: What percentage do you think vote Republican? (If you think all Whites vote Republican, then you would say 100 percent. If you think only a few more than half vote Republican, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to whiarep/whibrep follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED WHIAREP, 3, 5, 8, 9 in whirep or whide 998 DK ============================== VAR M970119 COLUMNS 7346 - 7346 NUMERIC mendem 97PI: How do men vote - Dem Generally, how do you think men tend to vote in national elections? Do men tend to vote Democratic, tend to vote Republican, or are they evenly split? Note: R randomly assigned to mendem/menrep question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED MENREP 8 DK ============================== VAR M970120 COLUMNS 7347 - 7347 NUMERIC menrep 97PI: How do men vote - Rep Generally, how do you think men tend to vote in national elections? Do men tend to vote Republican, tend to vote Democratic, or are they evenly split? Note: R randomly assigned to mendem/menrep question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED MENDEM 8 DK 9 NA, RF ============================== VAR M970121 COLUMNS 7348 - 7348 NUMERIC menadem 97PI: All Men vote Dem IF R SAYS THAT MEN VOTE DEMOCRATIC: Would you say that almost all men vote Democratic? Note: R randomly assigned to menadem/menbdem follow-up. 1 YES 5 NO 0 INAP, ASSIGNED MENBDEM, 1, 5, 8, 9 in menrep or mendem 8 DK ============================== VAR M970122 COLUMNS 7349 - 7351 NUMERIC menbdem 97PI: Perct Men vote Dem IF R SAYS THAT MEN VOTE DEMOCRATIC: What percentage do you think vote Democratic? (If you think all Men vote Democratic, then you would say 100 percent. If you think only a few more than half vote Democratic, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to menadem/menbdem follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED MENADEM, 1, 5, 8, 9 in menrep or mende 998 DK ============================== VAR M970123 COLUMNS 7352 - 7352 NUMERIC menarep 97PI: All Men vote Rep IF R SAYS THAT MEN VOTE REPUBLICAN: Would you say that almost all men vote Republican? Note: R randomly assigned to menarep/menbrep follow-up. 1 YES 5 NO 0 INAP, ASSIGNED MENBREP, 3,5,8,9 in menrep or mendem 8 DK ============================== VAR M970124 COLUMNS 7353 - 7355 NUMERIC menbrep 97PI: Perct Men vote Rep IF R SAYS THAT MEN VOTE REPUBLICAN: What percentage do you think vote Republican? (If you think all Men vote Republican, then you would say 100 percent. If you think only a few more than half vote Republican, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to menarep/menbrep follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED MENAREP, 3,5,8,9 in menrep or mendem 998 DK ============================== VAR M970125 COLUMNS 7356 - 7356 NUMERIC womdem 97PI: How do women vote - Dem Generally, how do you think women tend to vote in national elections? Do women tend to vote Democratic, tend to vote Republican, or are they evenly split? Note: R randomly assigned to womdem/womrep question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED WOMREP 8 DK ============================== VAR M970126 COLUMNS 7357 - 7357 NUMERIC womrep 97PI: How do women vote - Rep Generally, how do you think women tend to vote in national elections? Do women tend to vote Republican, tend to vote Democratic, or are they evenly split? Note: R randomly assigned to womdem/womrep question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED WOMDEM 8 DK 9 NA, RF ============================== VAR M970127 COLUMNS 7358 - 7358 NUMERIC womadem 97PI: All women vote Dem IF R SAYS THAT WOMEN VOTE DEMOCRATIC: Would you say that almost all Women vote Democratic? Note: R randomly assigned to womadem/wombdem follow-up: 1 YES 5 NO 0 INAP, ASSIGNED WOMBDEM, 1,5,8,9 in womrep or womdem 8 DK 9 NA, RF ============================== VAR M970128 COLUMNS 7359 - 7361 NUMERIC wombdem 97PI: Percentage women vote Dem IF R SAYS THAT WOMEN VOTE DEMOCRATIC: What percentage do you think vote Democratic? (If you think all women vote Democratic, then you would say 100 percent. If you think only a few more than half vote Democratic fill party selected], you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to womadem/wombdem follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED WOMADEM, 1,5,8,9 in womrep or womdem 998 DK 999 NA, RF ============================== VAR M970129 COLUMNS 7362 - 7362 NUMERIC womarep 97PI: All women vote Rep IF R SAYS THAT WOMEN VOTE REPUBLICAN: Would you say that almost all Women vote Republican? Note: R randomly assigned to womarep/wombrep follow-up: 1 YES 5 NO 0 INAP, ASSIGNED WOMBREP, 3,5,8,9 in womrep or womdem ============================== VAR M970130 COLUMNS 7363 - 7364 NUMERIC wombrep 97PI: Percentage women vote Rep IF R SAYS THAT WOMEN VOTE REPUBLICAN: What percentage do you think vote Republican? (If you think all women vote Republican, then you would say 100 percent. If you think only a few more than half vote Republican, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to womarep/wombrep follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED WOMAREP, 3,5,8,9 in womrep or womdem ============================== VAR M970131 COLUMNS 7365 - 7365 NUMERIC cfdem 97PI: How do cf vote - Dem Generally, how do you think Christian Fundamentalists tend to vote in national elections? Do Christian Fundamentalists tend to vote Democratic, tend to vote Republican, or are they evenly split? Note: R randomly assigned to cfdem/cfrep question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED CFREP 8 DK 9 NA, RF ============================== VAR M970132 COLUMNS 7366 - 7366 NUMERIC cfrep 97PI: How do cf vote - Rep Generally, how do you think Christian Fundamentalists tend to vote in national elections? Do Christian Fundamentalists tend to vote Republican, tend to vote Democratic, or are they evenly split? Note: R randomly assigned to cfdem/cfrep question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED CFDEM 8 DK ============================== VAR M970133 COLUMNS 7367 - 7367 NUMERIC cfadem 97PI: All CF vote Dem IF R SAYS THAT CHRISTIAN FUNDAMENTALISTS VOTE DEMOCRATIC: Would you say that almost all Christian Fundamentalists vote Democratic? Note: R randomly assigned to cfadem/cfbdem follow-up. 1 YES 5 NO 0 INAP, ASSIGNED CFBDEM, 1,5,8,9 in cfrep or cfdem 8 DK ============================== VAR M970134 COLUMNS 7368 - 7370 NUMERIC cfbdem 97PI: Perct CF vote Dem IF R SAYS THAT CHRISTIAN FUNDAMENTALISTS VOTE DEMOCRATIC: What percentage do you think vote Democratic? (If you think all Christian Fundamentalists vote Democratic, then you would say 100 percent. If you think only a few more than half vote Democratic, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to cfadem/cfbdem follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED CFADEM, 1,5,8,9 in cfrep or cfdem 998 DK ============================== VAR M970135 COLUMNS 7371 - 7371 NUMERIC cfarep 97PI: All CF vote Rep IF R SAYS THAT CHRISTIAN FUNDAMENTALISTS VOTE REPUBLICAN: Would you say that almost all Christian Fundamentalists vote Republican? Note: R randomly assigned to cfarep/cfbrep follow-up. 1 YES 5 NO 0 INAP, ASSIGNED CFBREP, 3,5,8,9 in cfrep or cfdem 8 DK ============================== VAR M970136 COLUMNS 7372 - 7374 NUMERIC cfbrep 97PI: Perct CF vote Rep IF R SAYS THAT CHRISTIAN FUNDAMENTALISTS VOTE REPUBLICAN: What percentage do you think vote Republican? (If you think all Christian Fundamentalists vote Republican, then you would say 100 percent. If you think only a few more than half vote Republican, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to cfarep/cfbrep follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED CFAREP, 3,5,8,9 in cfrep or cfdem 998 DK ============================== VAR M970137 COLUMNS 7375 - 7375 NUMERIC glrep 97PI: How do gays/lesbians vote - Dem Generally, how do you think gays and lesbians tend to vote in national elections? Do gays and lesbians tend to vote Republican, tend to vote Democratic, or are they evenly split? Note: R randomly assigned to glrep/gldem question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED GLDEM 8 DK 9 NA, RF ============================== VAR M970138 COLUMNS 7376 - 7376 NUMERIC gldem 97PI: How do gays/lesbians vote - Rep Generally, how do you think gays and lesbians tend to vote in national elections? Do gays and lesbians tend to vote Democratic, tend to vote Republican, or are they evenly split? Note: R randomly assigned to glrep/gldem question wording to vary which party came first in the question wording. 1 VOTE REPUBLICAN 3 VOTE DEMOCRATIC 5 EVENLY SPLIT 0 INAP, ASSIGNED GLREP 8 DK ============================== VAR M970139 COLUMNS 7377 - 7377 NUMERIC gladem 97PI: All GL vote Dem IF R SAYS THAT GAYS AND LESBIANS VOTE DEMOCRATIC: Would you say that almost all gays and lesbians vote Democratic? Note: R randomly assigned to gladem/glbdem follow-up. 1 YES 5 NO 0 INAP, ASSIGNED GLBDEM, 1,5,8,9 in glrep or gldem 8 DK ============================== VAR M970140 COLUMNS 7378 - 7380 NUMERIC glbdem 97PI: Perct GL vote Dem IF R SAYS THAT GAYS AND LESBIANS VOTE DEMOCRATIC: What percentage do you think vote Democratic? (If you think all gays and lesbians vote Democratic, then you would say 100 percent. If you think only a few more than half vote Democratic, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to gladem/glbdem follow-up. Percentages 50-100 and: 000 INAP, ASSIGNED GLADEM, 1,5,8,9 in glrep or gldem 998 DK ============================== VAR M970141 COLUMNS 7381 - 7381 NUMERIC glarep 97PI: All GL vote Rep IF R SAYS THAT GAYS AND LESBIANS VOTE REPUBLICAN: Would you say that almost all gays and lesbians vote Republican? Note: R randomly assigned to glarep/glbrep follow-up. 1 YES 5 NO 0 INAP, ASSIGNED GLBREP, 3,5,8,9 in glrep or gldem 8 DK ============================== VAR M970142 COLUMNS 7382 - 7384 NUMERIC glbrep 97PI: Perct GL vote Rep IF R SAYS THAT GAYS AND LESBIANS VOTE REPUBLICAN: What percentage do you think vote Republican? (If you think all gays and lesbians vote Republican, then you would say 100 percent. If you think only a few more than half vote Republican, you might use a number closer to 50 percent. You can use any percentage between 50 and 100 percent.) Note: R randomly assigned to glarep/glbrep follow-up. Percentages 50-100 and: 00 INAP, ASSIGNED GLAREP, 3,5,8,9 in glrep or gldem ============================== VAR M970143 COLUMNS 7385 - 7385 NUMERIC 97PI: Sumry: threat by early-late by grp This variable describes the order and assignment to threat level that each case received. Every case has data for Blacks and for Christian Fundamentalists. Cases were randomly assigned to a 'high threat' or 'low threat' condition, independently for each group. In addition, the order in which the questions about the two groups were asked was randomly varied, first Blacks ("early") and then Christian Fundamentalists ("late"), or first Christian Fundamentalists ("early") and then Blacks ("late"). V970143 is a summary variable provides a mapping of assignment to threat level and order for each possible combination. Note: Questions K1-K13a (V970194-V970199) were asked in between the "early" and "late" group questions. 1 LO BE + LO CFL 2 LO BE + HI CFL 3 HI BE + LO CFL 4 HI BE + LO CFL 5 LO CFE + LO BL 6 LO CFE + HI BL 7 HI CFE + HI BL 8 HI CFE + HI BL ============================== VAR M970144 COLUMNS 7386 - 7386 NUMERIC Jb4. 97PI: LO thret cultrl-Blacks Sumry Some leaders in the Black community feel that American youth should be able to learn about black history in school. To remedy this, it has been proposed that high school courses include some information on African-American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LOW THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970145 COLUMNS 7387 - 7387 NUMERIC Jb5. 97PI: LO thret poli-Blacks Sumry Some Black leaders are worried that the government does not pay enough attention to the opinions of Blacks. To remedy this, it has been proposed that governors do more to find out about the opinions of Black citizens. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LOW THREAT CONDITION IN POLITICAL DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970146 COLUMNS 7388 - 7388 NUMERIC Jb6. 97PI: LO thret econ-Blacks Sumry Studies show that Blacks have a much higher unemployment rate than Whites. To remedy this, it has been proposed that large businesses try to hire more Blacks. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LOW THREAT CONDITION IN ECONOMIC DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970147 COLUMNS 7389 - 7389 NUMERIC beloc 97PI: LO thret cultrl-Blacks (erly) Some leaders in the Black community feel that American youth should be able to learn about black history in school. To remedy this, it has been proposed that high school courses include some information on African-American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON LOW THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970148 COLUMNS 7390 - 7390 NUMERIC belop 97PI: LO thret poli-Blacks (erly) Some Black leaders are worried that the government does not pay enough attention to the opinions of Blacks. To remedy this, it has been proposed that governors do more to find out about the opinions of Black citizens. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON LOW THREAT CONDITION IN POLITICAL DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970149 COLUMNS 7391 - 7391 NUMERIC beloe 97PI: LO thret econ-Blacks (erly) Studies show that Blacks have a much higher unemployment rate than Whites. To remedy this, it has been proposed that large businesses try to hire more Blacks. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON LOW THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970150 COLUMNS 7392 - 7392 NUMERIC blloc 97PI: LO thret cultrl-Blacks (late) Some leaders in the Black community feel that American youth should be able to learn about black history in school. To remedy this, it has been proposed that high school courses include some information on African-American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON LOW THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970151 COLUMNS 7393 - 7393 NUMERIC bllop 97PI: LO thret poli-Blacks (late) Some Black leaders are worried that the government does not pay enough attention to the opinions of Blacks. To remedy this, it has been proposed that governors do more to find out about the opinions of Black citizens. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON LOW THREAT CONDITION IN POLITICAL DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970152 COLUMNS 7394 - 7394 NUMERIC blloe 97PI: LO thret econ-Blacks (late) Studies show that Blacks have a much higher unemployment rate than Whites. To remedy this, it has been proposed that large businesses try to hire more Blacks. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON LOW THREAT CONDITION IN ECONOMIC DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970153 COLUMNS 7395 - 7395 NUMERIC Jb1. 97PI: HI thret cultrl-Blacks Sumry Some leaders in the black community feel that American youth should be educated about black history. To remedy this, it has been proposed that high schools require students to take a course in African-American history. Do you favor or oppose this proposal Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO HIGH THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970154 COLUMNS 7396 - 7396 NUMERIC Jb2. 97PI: HI thret poli-Blacks Sumry Some Black leaders are worried that the government does not pay enough attention to the opinions of Blacks. To remedy this, it has been proposed that governors be required to appoint more Blacks to public office. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO HIGH THREAT CONDITION IN POLITICAL DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970155 COLUMNS 7397 - 7397 NUMERIC Jb3. 97PI: HI thret econ-Blacks Sumry Studies show that Blacks have a much higher unemployment rate than Whites. To remedy this, it has been proposed that large businesses be required to hire at least 15% Blacks. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO HIGH THREAT CONDITION IN ECONOMIC DOMAIN FOR BLACKS 8 DK ============================== VAR M970156 COLUMNS 7398 - 7398 NUMERIC behic 97PI: HI thret cultrl-Blacks (erly) Some leaders in the black community feel that American youth should be educated about black history. To remedy this, it has been proposed that high schools require students to take a course in African-American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON HIGH THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970157 COLUMNS 7399 - 7399 NUMERIC behip 97PI: HI thret poli-Blacks (erly) Some Black leaders are worried that the government does not pay enough attention to the opinions of Blacks. To remedy this, it has been proposed that governors be required to appoint more Blacks to public office. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON HIGH THREAT CONDITION IN POLITICAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970158 COLUMNS 7400 - 7400 NUMERIC behie 97PI: Hi thret econ-Blacks (erly) Studies show that Blacks have a much higher unemployment rate than Whites. To remedy this, it has been proposed that large businesses be required to hire at least 15% Blacks. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON HIGH THREAT CONDITION IN ECONOMIC DOMAIN FOR BLACKS 8 DK ============================== VAR M970159 COLUMNS 7401 - 7401 NUMERIC blhic 97PI: HI thret cultrl-Blacks (late) Some leaders in the black community feel that American youth should be educated about black history. To remedy this, it has been proposed that high schools require students to take a course in African-American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON HIGH THREAT CONDITION IN CULTURAL DOMAIN FOR BLACKS 8 DK ============================== VAR M970160 COLUMNS 7402 - 7402 NUMERIC blhip 97PI: HI thret poli-Blacks (late) Some Black leaders are worried that the government does not pay enough attention to the opinions of Blacks. To remedy this, it has been proposed that governors be required to appoint more Blacks to public office. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON HIGH THREAT CONDITION IN POLITICAL DOMAIN FOR BLACKS 8 DK 9 NA, RF ============================== VAR M970161 COLUMNS 7403 - 7403 NUMERIC blhie 97PI: HI thret econ-Blacks (late) Studies show that Blacks have a much higher unemployment rate than Whites. To remedy this, it has been proposed that large businesses be required to hire at least 15% Blacks. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON HIGH THREAT CONDITION IN ECONOMIC DOMAIN FOR BLACKS 8 DK ============================== VAR M970162 COLUMNS 7404 - 7404 NUMERIC Jc4. 97PI: LO thret cultrl-Chrstn Fund Sumry Some Christian Fundamentalist leaders feel that American youth should be more aware of the role of Christians in American history. To remedy this, it has been proposed that high school courses include some information about the role of Christians in American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LOW THREAT CONDITION IN CULTURAL DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970163 COLUMNS 7405 - 7405 NUMERIC Jc5. 97PI: LO thret poli-Chrstn Fund Sumry Some leaders of Christian groups are worried that the government does not pay enough attention to the concerns of Christian Fundamentalists. To remedy this, it has been proposed that governors do more to find out the opinions of Christian Fundamentalists. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LOW THREAT CONDITION IN POLITICAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970164 COLUMNS 7406 - 7406 NUMERIC Jc6. 97PI: LO thret econ-Chrstn Fund Sumry Some Christian Fundamentalist leaders have become concerned about the financial well-being of Christian schools. To remedy this, it has been proposed that Christian schools not have to pay property taxes. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LOW THREAT CONDITION IN ECONOMIC DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970165 COLUMNS 7407 - 7407 NUMERIC cfeloc 97PI: LO thret cultrl-Chrstn Fund (erly) Some Christian Fundamentalist leaders feel that American youth should be more aware of the role of Christians in American history. To remedy this, it has been proposed that high school courses include some information about the role of Christians in American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON LOW THREAT CONDITION IN CULTURAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970166 COLUMNS 7408 - 7408 NUMERIC cfelop 97PI: LO thret poli-Chrstn Fund (erly) Some leaders of Christian groups are worried that the government does not pay enough attention to the concerns of Christian Fundamentalists. To remedy this, it has been proposed that governors do more to find out the opinions of Christian Fundamentalists. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON LOW THREAT CONDITION IN POLITICAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970167 COLUMNS 7409 - 7409 NUMERIC cfeloe 97PI: LO thret econ-Chrstn Fund (erly) Some Christian Fundamentalist leaders have become concerned about the financial well-being of Christian schools. To remedy this, it has been proposed that Christian schools not have to pay property taxes. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON LOW THREAT CONDITION IN ECONOMIC DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970168 COLUMNS 7410 - 7410 NUMERIC cflloc 97PI: LO thret cultrl-Chrstn Fund (late) Some Christian Fundamentalist leaders feel that American youth should be more aware of the role of Christians in American history. To remedy this, it has been proposed that high school courses include some information about the role of Christians in American history. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON LOW THREAT CONDITION IN CULTURAL DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970169 COLUMNS 7411 - 7411 NUMERIC cfllop 97PI: LO thret poli-Chrstn Fund (late) Some leaders of Christian groups are worried that the government does not pay enough attention to the concerns of Christian Fundamentalists. To remedy this, it has been proposed that governors do more to find out the opinions of Christian Fundamentalists. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON LOW THREAT CONDITION IN POLITICAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970170 COLUMNS 7412 - 7412 NUMERIC cflloe 97PI: LO thret econ-Chrstn Fund (late) Some Christian Fundamentalist leaders have become concerned about the financial well-being of Christian schools. To remedy this, it has been proposed that Christian schools not have to pay property taxes. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON LOW THREAT CONDITION IN ECONOMIC DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970171 COLUMNS 7413 - 7413 NUMERIC Jc4. 97PI: HI thret cultrl-Chrstn Fund Sumry Some Christian Fundamentalist leaders feel that American youth should understand that this is a Christian nation. To remedy this, it has been proposed that high schools require students to take a course that shows how Christians and Christian principles were responsible for the founding of our country. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO HIGH THREAT CONDITION IN CULTURAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970172 COLUMNS 7414 - 7414 NUMERIC Jc2. 97PI: HI thret poli-Chrstn Fund Sumry Some Christian Fundamentalist leaders are worried that the government does not pay enough attention to the opinions of Christian Fundamentalists. To remedy this, it has been proposed that governors be required to appoint more Christian Fundamentalists to public office. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO HIGH THREAT CONDITION IN POLITICAL DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970173 COLUMNS 7415 - 7415 NUMERIC Jc3. 97PI: HI thret econ-Chrstn Fund Sumry Some Christian Fundamentalist leaders are concerned about the financial well-being of Christian schools. To remedy this, it has been proposed that Christian schools receive money from local property taxes, just like the public schools. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO HIGH THREAT CONDITION IN ECONOMIC DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970174 COLUMNS 7416 - 7416 NUMERIC cfehic 97PI: HI thret cultrl-Chrstn Fund (erly) Some Christian Fundamentalist leaders feel that American youth should understand that this is a Christian nation. To remedy this, it has been proposed that high schools require students to take a course that shows how Christians and Christian principles were responsible for the founding of our country. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON HIGH THREAT CONDITION IN CULTURAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970175 COLUMNS 7417 - 7417 NUMERIC cfhip 97PI: HI thret poli-Chrstn Fund (erly) Some Christian Fundamentalist leaders are worried that the government does not pay enough attention to the opinions of Christian Fundamentalists. To remedy this, it has been proposed that governors be required to appoint more Christian Fundamentalists to public office. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON HIGH THREAT CONDITION IN POLITICAL DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970176 COLUMNS 7418 - 7418 NUMERIC cfehie 97PI: HI thret econ-Chrstn Fund (erly) Some Christian Fundamentalist leaders are concerned about the financial well-being of Christian schools. To remedy this, it has been proposed that Christian schools receive money from local property taxes, just like the public schools. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO EARLY TREATMENT ON HIGH THREAT CONDITION IN ECONOMIC DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970177 COLUMNS 7419 - 7419 NUMERIC cflhic 97PI: HI thret cultrl-Chrstn Fund (late) Some Christian Fundamentalist leaders feel that American youth should understand that this is a Christian nation. To remedy this, it has been proposed that high schools require students to take a course that shows how Christians and Christian principles were responsible for the founding of our country. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON HIGH THREAT CONDITION IN CULTURAL DOMAIN FOR CH. FUND. 8 DK ============================== VAR M970178 COLUMNS 7420 - 7420 NUMERIC cfehip 97PI: HI thret poli-Chrstn Fund (late) Some Christian Fundamentalist leaders are worried that the government does not pay enough attention to the opinions of Christian Fundamentalists. To remedy this, it has been proposed that governors be required to appoint more Christian Fundamentalists to public office. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON HIGH THREAT CONDITION IN POLITICAL DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970179 COLUMNS 7421 - 7421 NUMERIC cflhie 97PI: HI thret econ-Chrstn Fund (late) Some Christian Fundamentalist leaders are concerned about the financial well-being of Christian schools. To remedy this, it has been proposed that Christian schools receive money from local property taxes, just like the public schools. Do you favor or oppose this proposal? Note: The three threat domains, cultural, political, and economic, were asked about in random order. Randomization variables are located following the survey variables. 1 FAVOR 5 OPPOSE 0 INAP, NOT ASSIGNED TO LATE TREATMENT ON HIGH THREAT CONDITION IN ECONOMIC DOMAIN FOR CH. FUND. 8 DK 9 NA, RF ============================== VAR M970180 COLUMNS 7422 - 7422 NUMERIC bprjord 97PI: Black prejudice q order Each groups battery included two prejudice items designed to measure prejudice. These two items always followed the threat domain items of that group, hence were asked either 'early' or 'late.' The summary variable V970143, identifies when they were asked. Each pair of items was randomly ordered as well, documented here in V970180. 1 BLTRYHD FIRST 2 BLFAVRS FIRST ============================== VAR M970181 COLUMNS 7423 - 7423 NUMERIC Jb7. 97PI: Comb erly-late Blks & try hard [USING RB] (Please look/Still looking on page 5) Please tell me how much you agree with the following statement: "It's really a matter of some people not trying hard enough; if blacks would only try harder, they could be just as well off as Whites." 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK 9 NA, RF ============================== VAR M970182 COLUMNS 7424 - 7424 NUMERIC Jb8. 97PI: Comb erly-late Blks & spec favs [USING RB] (Please look/Still looking on page 5) Please tell me how much you agree with the following statement: "Irish, Italian, and Jewish, and many other minorities overcame prejudice and worked their way up. Blacks should do the same without any special favors." 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK 9 NA, RF ============================== VAR M970183 COLUMNS 7425 - 7425 NUMERIC cfprjord 97PI: CF prejudice q order Each groups battery included two prejudice items designed to measure prejudice. These two items always followed the threat domain items of that group, hence were asked either 'early' or 'late.' The summary variable V970143 identifies when they were asked. Each pair of items was randomly ordered as well, documented here in V970183. 1 CFLDRPSH FIRST 2 CFPEACE FIRST ============================== VAR M970184 COLUMNS 7426 - 7426 NUMERIC Jc7. 97PI: Comb erly-late CF leaders push [USING RB] (Please look/Still looking at page 5 of the booklet) Please tell me how much you agree with the following statement: "Religious leaders are pushing too hard to have their beliefs written into law." 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK 9 NA, RF ============================== VAR M970185 COLUMNS 7427 - 7427 NUMERIC Jc8. 97PI: Comb erly-late CFs shd live peace [USING RB] (Please look/Still looking at page 5) Please tell me how much you agree with the following statement: "Catholics, Jews, and most Protestants have overcome their prejudices and have lived peacefully together without demanding that everybody should adopt their beliefs. Christian Fundamentalists should do the same." 1 AGREE STRONGLY 2 AGREE SOMEWHAT 3 NEITHER AGREE NOR DISAGREE 4 DISAGREE SOMEWHAT 5 DISAGREE STRONGLY 8 DK ============================== VAR M970186 COLUMNS 7428 - 7428 NUMERIC Jb9. 97PI: Rate blacks on trust scale [USING RB] Now I have some more questions about different groups in our society. Please turn to page 6 in the respondent booklet. There you will see a 7-point scale on which the characteristics of the people in a group can be rated. In the first scale a score of 1 means that you think almost all of the people in that group tend to be trustworthy. A score of 7 means that you think most people in the group are not trustworthy. A score of 4 means that you think that most people in the group are not closer to one end or the other, and of course, you may choose any number in between. Where would you rate Blacks in general on this scale (trustworthy)? Note: Variables V970188-V970193 were asked, as a group and without any randomization, after all questions about the second group were completed and immediately preceding K4 (V970194). 1 TRUSTWORTHY 2 3 4 5 6 7 UNTRUSTWORTHY 8 DK 9 NA, RF ============================== VAR M970187 COLUMNS 7429 - 7429 NUMERIC Jb9. 97PI: Rate CFs on trust scale Where would you rate Christian Fundamentalists in general on this scale (trustworthy)? 1 TRUSTWORTHY 2 3 4 5 6 7 UNTRUSTWORTHY 8 DK 9 NA,RF ============================== VAR M970188 COLUMNS 7430 - 7430 NUMERIC Jb10. 97PI: Rate Blacks on intell scale [RB] The next set asks if people in each group tend to be 'intelligent' or 'unintelligent.' Turning to page 7 in the booklet: Where would you rate Blacks in general on this scale? 1 INTELLIGENT 2 3 4 5 6 7 UNINTELLIGENT 8 DK 9 NA,RF ============================== VAR M970189 COLUMNS 7431 - 7431 NUMERIC Jc10. 97PI: Rate CFs on intell scale [RB] (Where would you rate) Christian Fundamentalists (in general on this scale)? 1 INTELLIGENT 2 3 4 5 6 7 UNINTELLIGENT 8 DK 9 NA,RF ============================== VAR M970190 COLUMNS 7432 - 7432 NUMERIC Jb11. 97PI: Rate Blacks on tolerant scale Do people in these groups tend to be 'tolerant' or do they tend to be 'intolerant?' Turing to page 8 in the booklet: Where would you rate Blacks in general on this scale? 1 TOLERANT 2 3 4 5 6 7 INTOLERANT 8 DK 9 NA,RF ============================== VAR M970191 COLUMNS 7433 - 7433 NUMERIC Jc11. 97PI: Rate CFs on tolerant scale [RB] (Where would you rate) Christian fundamentalists (in general on this scale)? 1 TOLERANT 2 3 4 5 6 7 INTOLERANT 8 DK 9 NA,RF ============================== VAR M970192 COLUMNS 7434 - 7434 NUMERIC J12. 97PI: R view on school prayer [USING RB] Looking at page 9 of the booklet, which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. 1 BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 2 THE LAW SHOULD ALLOW PUBLIC SCOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 3 THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN, AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 4 BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 8 DK 9 NA, RF ============================== VAR M970193 COLUMNS 7435 - 7436 NUMERIC J13. 97PI: R scale help blacks [USING RB] Now looking at page 10 of the booklet, some people feel that the government in Washington should make every effort to improve the social and economic position of Blacks. (Suppose these people are at one end of a scale, at point 1.) Others feel that the government should not make any special effort to help Blacks because they should help themselves. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. Where would you place yourself on this scale, or haven't you thought much about this? 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 8 DK 9 NA, RF 96 HAVEN'T THOUGHT MUCH ABOUT THIS ============================== VAR M970194 COLUMNS 7437 - 7437 NUMERIC K1. 97PI: Clinton job approval For the next question you will not need the booklet. First, do you approve or disapprove of the way that Bill Clinton is handling his job as president? Note: Questions K1-K3a were asked between questions about the 'early' group and 'late' group in section J. 1 APPROVE 5 DISAPPROVE 8 DK 9 NA, RF ============================== VAR M970195 COLUMNS 7438 - 7438 NUMERIC K1a. 97PI: Clinton job strength IF R APPROVES OF WAY CLINTON IS HANDLING JOB / IF R DISAPPROVES OF WAY CLINTON IS HANDLING JOB: a. Do you approve strongly or not strongly b. Do you disapprove strongly or not strongly? Note: Questions K1-K3a were asked between questions about the 'early' group and 'late' group in section J. 1 APPROVE STRONGLY 2 APPROVE NOT STRONGLY 4 DISAPPROVE STRONGLY 5 DISAPPROVE NOT STRONGLY 0 INAP, 8,9 IN K1 8 DK 9 NA, RF ============================== VAR M970196 COLUMNS 7439 - 7439 NUMERIC K2. 97PI: Congress job approval Do you approve or disapprove of the way the U.S. Congress has been handling its job? Note: Questions K1-K3a were asked between questions about the 'early' group and 'late' group in section J. 1 APPROVE 5 DISAPPROVE 8 DK 9 NA, RF ============================== VAR M970197 COLUMNS 7440 - 7440 NUMERIC K2a. 97PI: Congress approval strength IF R APPROVES OF WAY CONGRESS IS HANDLING JOB / IF R DISAPPROVES OF WAY CONGRESS IS HANDLING JOB: a. Do you approve strongly or not strongly? b. Do you disapprove strongly or not strongly? Note: Questions K1-K3a were asked between questions about the 'early' group and 'late' group in section J. 1 APPROVE STRONGLY 2 APPROVE NOT STRONGLY 4 DISAPPROVE STRONGLY 5 DISAPPROVE NOT STRONGLY 0 INAP, 8,9 IN K2 8 DK ============================== VAR M970198 COLUMNS 7441 - 7441 NUMERIC K3. 97PI: Representative approval Do you approve or disapprove of the way that Representative [REPRESENTATIVE] has been handling [HIS/HER] job? Note: Questions K1-K3a were asked between questions about the 'early' group and 'late' group in section J. 1 APPROVE 5 DISAPPROVE 8 DK 9 NA, RF ============================== VAR M970199 COLUMNS 7442 - 7442 NUMERIC K3a. 97PI: Representative approval IF R APPROVES OF WAY REPRESENTATIVE IS HANDLING JOB / IF R DISAPPROVES OF WAY REPRESENTATIVE IS HANDLING JOB: a. Do you approve strongly or not strongly? b. Do you disapprove strongly or not strongly? Note: Questions K1-K3a were asked between questions about the 'early' group and 'late' group in section J. 1 APPROVE STRONGLY 2 APPROVE NOT STRONGLY 4 DISAPPROVE STRONGLY 5 DISAPPROVE NOT STRONGLY 0 INAP, 8,9 IN K3 8 DK 9 NA, RF ============================== VAR M970200 COLUMNS 7443 - 7443 NUMERIC K4. 97PI: Congress not get much [USING RB] Now looking at page 11 of the booklet. Now we return to a few more questions about the federal government in Washington. Think about the U.S. Congress. In your opinion, does the phrase "Doesn't get much accomplished" describe the U.S. Congress extremely well, quite well, not too well, or not well at all? Note: Question K4 came after question J13 (V970193) in the interview. 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK ============================== VAR M970201 COLUMNS 7444 - 7444 NUMERIC K5. 97PI: Congress too partisan [RB] What about, "Too involved in partisan politics?" (Does the phrase "Too involved in partisan politics" describe the U.S. Congress extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970202 COLUMNS 7445 - 7445 NUMERIC K6. 97PI: Congress too Conservative [RB] What about "Too conservative"? (Does the phrase "Too conservative" describe the U.S. Congress extremely well, quite well, not too well, or not well at all?) Note: R randomly assigned to question wording "Too conservative" (V970202) or "Too liberal" (V970204) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, R ASKED Too Liberal 8 DK ============================== VAR M970203 COLUMNS 7446 - 7446 NUMERIC K7. 97PI: Congress too liberal - follow-up IF "TOO CONSERVATIVE" DESCRIBES CONGRESS NOT TOO WELL OR NOT WELL AT ALL: [RB] What about "Too liberal"? (Does the phrase "Too liberal" describe the U.S. Congress extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, 1,2,8,9 IN K6 8 DK 9 NA, RF ============================== VAR M970204 COLUMNS 7447 - 7447 NUMERIC K6. 97PI: Congress too liberal [RB] What about "Too liberal"? (Does the phrase "Too liberal" describe the U.S. Congress extremely well, quite well, not too well, or not well at all?) Note: R randomly assigned to question wording "Too conservative" (V970202) or "Too liberal" (V970204) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, R ASKED Too Conservative 8 DK 9 NA, RF ============================== VAR M970205 COLUMNS 7448 - 7448 NUMERIC K7. 97PI: Congress too Conservative - follow-up IF "TOO LIBERAL" DESCRIBES CONGRESS NOT TOO WELL OR NOT WELL AT ALL: [RB] What about "Too conservative"? (Does the phrase "Too conservative" describe the U.S. Congress extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, 1,2,8,9 IN K6 8 DK 9 NA, RF ============================== VAR M970206 COLUMNS 7449 - 7449 NUMERIC K9. 97PI: Congress doesn't care What about, "Doesn't care about what ordinary Americans think"? (Does the phrase "Doesn't care about what ordinary Americans think" describe the U.S. Congress extremely well, quite well, 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970207 COLUMNS 7450 - 7450 NUMERIC K10. 97PI: Congress corrupt What about, "Corrupt"? (Does the phrase "Corrupt" describe the U.S. Congress extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA ============================== VAR M970208 COLUMNS 7451 - 7451 NUMERIC K11. 97PI: Clinton not get much Think about President Clinton. In your opinion, does the phrase "Doesn't get much accomplished" describe President Clinton extremely well, quite well, not too well, or not well at all? 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970209 COLUMNS 7452 - 7452 NUMERIC K12. 97PI: Clinton too partisan What about, "Too involved in partisan politics?" (Does the phrase "Too involved in partisan politics" describe President Clinton extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970210 COLUMNS 7453 - 7453 NUMERIC K14. 97PI: Clinton too conservative [RB] What about "Too conservative"? (Does the phrase Too conservative" describe President Clinton extremely well, quite well, not too well, or not well at all?) Note: R randomly assigned to question wording 'Too conservative' (V970210) or 'Too liberal' (V970212) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, R ASKED Too Liberal 8 DK 9 NA, RF ============================== VAR M970211 COLUMNS 7454 - 7454 NUMERIC K15. 97PI: Clinton too liberal - follow-up IF "TOO CONSERVATIVE" DESCRIBES CLINTON NOT TOO WELL OR NOT WELL AT ALL: [RB] What about "Too liberal"? (Does the phrase "Too liberal" describe President Clinton extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, 1,2,8,9 IN K14 8 DK 9 NA, RF ============================== VAR M970212 COLUMNS 7455 - 7455 NUMERIC K14. 97PI: Clinton too liberal [RB] What about "Too liberal"? (Does the phrase "Too liberal" describe President Clinton extremely well, quite well, not too well, or not well at all?) Note: R randomly assigned to question wording 'Too conservative' (V970210) or 'Too liberal' (V970212) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, R ASKED Too Conservative 8 DK 9 NA, RF ============================== VAR M970213 COLUMNS 7456 - 7456 NUMERIC K15. 97PI: Clinton too conservative - follow-up IF "TOO LIBERAL" DESCRIBES CLINTON NOT TOO WELL OR NOT WELL AT ALL: [RB] What about "Too conservative"? (Does the phrase Too conservative" describe President Clinton extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, 1,2,8,9 IN K14 8 DK 9 NA, RF ============================== VAR M970214 COLUMNS 7457 - 7457 NUMERIC K16. 97PI: Clinton doesn't care [RB] What about, "Doesn't care about what ordinary Americans think"? (Does the phrase "Doesn't care about what ordinary Americans think" describe President Clinton extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970215 COLUMNS 7458 - 7458 NUMERIC K17. 97PI: Clinton corrupt [RB] What about, "Corrupt"? (Does the phrase "Corrupt" describe President Clinton extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970216 COLUMNS 7459 - 7459 NUMERIC K18. 97PI: Supr Court not get much [RB] Think about the Supreme Court. In your opinion, does the phrase "Doesn't get much accomplished" describe the Supreme Court extremely well, quite well, not too well, or not well at all? 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970217 COLUMNS 7460 - 7460 NUMERIC K19. 97PI: Supr Court too partisan [RB] What about, "Too involved in partisan politics?" (Does the phrase "Too involved in partisan politics" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970218 COLUMNS 7461 - 7461 NUMERIC K20. 97PI: Supreme Court too conservative What about "Too conservative"? (Does the phrase "Too conservative" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) Note: R randomly assigned to question wording 'Too conservative' (V970218) or 'Too liberal' (V970220) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, R ASKED Too Liberal 8 DK 9 NA, RF ============================== VAR M970219 COLUMNS 7462 - 7462 NUMERIC K21. 97PI: Supreme Court too liberal - follow-up IF "TOO CONSERVATIVE" DESCRIBES THE SUPREME COURT NOT TOO WELL OR NOT WELL AT ALL: What about "Too liberal"? (Does the phrase "Too liberal" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, 1,2,8,9 in K20 8 DK 9 NA, RF ============================== VAR M970220 COLUMNS 7463 - 7463 NUMERIC K20. 97PI: Supreme Court too liberal What about "Too liberal"? (Does the phrase "Too liberal" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) Note: R randomly assigned to question wording 'Too conservative' (V970218) or 'Too liberal' (V970220) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, ASSIGNED Too Conservative 8 DK 9 NA, RF ============================== VAR M970221 COLUMNS 7464 - 7464 NUMERIC K21. 97PI: Supreme Court too conservative - follow-up IF "TOO LIBERAL" DESCRIBES THE SUPREME COURT NOT TOO WELL OR NOT WELL AT ALL: What about "Too conservative"? (Does the phrase "Too conservative" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 0 INAP, 1,2,8,9 IN K20 8 DK 9 NA, RF ============================== VAR M970222 COLUMNS 7465 - 7465 NUMERIC K23. 97PI: Supr Court doesn't care [RB] What about, "Doesn't care about what ordinary Americans think"? (Does the phrase "Doesn't care about what ordinary Americans think" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA, RF ============================== VAR M970223 COLUMNS 7466 - 7466 NUMERIC K24. 97PI: Supr Court corrupt [RB] What about, "Corrupt"? (Does the phrase "Corrupt" describe the Supreme Court extremely well, quite well, not too well, or not well at all?) 1 EXTREMELY WELL 2 QUITE WELL 3 NOT TOO WELL 4 NOT WELL AT ALL 8 DK 9 NA;RF ============================== VAR M970224 COLUMNS 7467 - 7467 NUMERIC L0a. [USING RB] [USING RB] Once again a few questions about groups. Please TURN BACK page 10 in the booklet , some people feel that the government in Washi should make every effort to improve the social and economic position o Blacks. (Suppose these people are at one end of a scale, at point 1.) Others feel that the government should not make any special effort to help Blacks because they should help themselves. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. 97PI: Aid to Blacks Scale - Dem Party [RB] (Where would you place) the Democratic Party (on this scale)? Note: Order of L0a-L0b randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 0 INAP, 96 IN J13 8 DK 9 NA, RF ============================== VAR M970225 COLUMNS 7468 - 7468 NUMERIC L0b. 97PI: Aid to Blacks Scale - Rep Party [RB] (Where would you place) the Republican Party (on this scale)? Note: Order of L0a-L0b randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 0 INAP, 96 IN J13 8 DK 9 NA, RF ============================== VAR M970226 COLUMNS 7469 - 7469 NUMERIC L0c. 97PI: Aid to Blacks Scale - Blacks [RB] (Where would you place) most Blacks (on this scale)? Note: Order of L0c-L0f randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 0 INAP, 96 IN J13 8 DK 9 NA, RF ============================== VAR M970227 COLUMNS 7470 - 7470 NUMERIC L0d. 97PI: Aid to Blacks Scale - Whites [RB] (Where would you place) most Whites (on this scale)? Note: Order of L0c-L0f randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 0 INAP, 96 IN J13 8 DK 9 NA, RF ============================== VAR M970228 COLUMNS 7471 - 7471 NUMERIC L0e. 97PI: Aid to Blacks Scale - Gays/Lesbian [RB] (Where would you place) most Gays and Lesbians (on this scale)? Note: Order of L0c-L0f randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 0 INAP, 96 IN J13 8 DK 9 NA, RF ============================== VAR M970229 COLUMNS 7472 - 7472 NUMERIC L0f 97PI: Aid to Blacks Scale - Christian Fu [RB] (Where would you place) most Christian Fundamentalists (on this scale)? Note: Order of L0c-L0f randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 GOVERNMENT SHOULD HELP BLACKS 2 3 4 5 6 7 BLACKS SHOULD HELP THEMSELVES 0 INAP, 96 IN J13 8 DK 9 NA, RF L1. [USING RB] Now, please turn to page 12 in the booklet, the page labeled "Women's Rights'. [PAUSE AS NEEDED UNTIL R IS ON PAGE 12.] Recently, there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. Suppose these people are at one end of a scale, at point 1. Others feel that a woman's place is in the home. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between, at points 2, 3, 4, 5, or 6. Where would you place yourself on this scale, or haven't you thought much about this? ============================== VAR M970230 COLUMNS 7473 - 7474 NUMERIC L1. 97PI: womens rights scale - self [RB] Where would you place yourself on this scale, or haven't you thought much about this? See L1 for complete question text. 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 9 NA, RF 96 HAVEN'T THOUGHT MUCH ABOUT THIS ============================== VAR M970231 COLUMNS 7475 - 7475 NUMERIC L2a. 97PI: womens rights scale - Dem Party [RB] (Where would you place) the Democratic Party (on this scale)? See L1 for complete question text. Note: Order of L2a-L2b randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970231A COLUMNS 7476 - 7476 NUMERIC L2b. 97PI: womens rights scale - Rep Party [RB] (Where would you place) the Republican Party (on this scale)? See L1 for complete question text. Note: Order of L2a-L2b randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970232 COLUMNS 7477 - 7477 NUMERIC L3. 97PI: womens rights scale - Blacks [RB] (Where would you place) most Blacks (on this scale)? See L1 for complete question text. Note: Order of L2a-L3 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970233 COLUMNS 7478 - 7478 NUMERIC L4. 97PI: womens rights scale - Whites [RB] (Where would you place) most Whites (on this scale)? See L1 for complete question text. Note: Order of L4-L8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970234 COLUMNS 7479 - 7479 NUMERIC L5. 97PI: womens rights scale - CF [RB] (Where would you place) most Christian Fundamentalists (on this scale)? See L1 for complete question text. Note: Order of L4-L8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970235 COLUMNS 7480 - 7480 NUMERIC L6. 97PI: womens rights scale - G/L [RB] (Where would you place) most Gays and Lesbians (on this scale)? See L1 for complete question text. Order of L4-L8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970236 COLUMNS 7481 - 7481 NUMERIC L7. 97PI: womens rights scale - Women [RB] (Where would you place) most Women (on this scale)? See L1 for complete question text. Note: Order of L4-L8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK 9 NA, RF ============================== VAR M970237 COLUMNS 7482 - 7482 NUMERIC L8. 97PI: womens rights scale - Men [RB] (Where would you place) most Men (on this scale)? See L1 for complete question text. Note: Order of L4-L8 randomized. Randomization information is documented within the collection of randomization variables that appear at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand" 1 WOMEN AND MEN SHOULD HAVE EQUAL ROLES 2 3 4 5 6 7 A WOMAN'S PLACE IS IN THE HOME 0 INAP, 96 IN L1 8 DK ============================== VAR M970238 COLUMNS 7483 - 7483 NUMERIC sbintro 97PI: Split Ballot - Intro v. No Intro Variable pertains to the split balloting on question M1 and M2. 1 R ASSIGNED TO M1 2 R ASSIGNED TO M2 ============================== VAR M970239 COLUMNS 7484 - 7484 NUMERIC M1. 97PI: Ever contacted Rep (w/ intro) Now I want to ask you a few questions about contacts you may have initiated with government officials, or someone on the staff of such officials, about problems or issues that you were concerned about. We're interested in any kind of contact you might have initiated -- either in person or by phone, letter, fax or Email. First, have you ever contacted Representative [REPRESENTATIVE] or anyone in [HIS/HER] office? 1 YES 5 NO 0 INAP, ASSIGNED M2 8 DK ============================== VAR M970240 COLUMNS 7485 - 7485 NUMERIC M2. 97PI: Ever contacted rep (no intro) Have you ever contacted Representative [REPRESENTATIVE] or anyone in [HIS/HER] office? 1 YES 5 NO 0 INAP, ASSIGNED M1 ============================== VAR M970241 COLUMNS 7486 - 7486 NUMERIC M3. 97PI: Contacted Rep this year Now, think just about this year, that is, since January first, 1997. Did you contact Representative [REPRESENTATIVE] or anyone in [HIS/HER] office this year? 1 YES 5 NO 0 INAP, 5 IN M1 OR M2 ============================== VAR M970242 COLUMNS 7487 - 7487 NUMERIC M3a-1. 97PI: Express Opinion - Rep Was it to express an opinion, get information, or to get help with a problem you had? Note: the question allowed for multiple mentions V970242-V970245 are the variables for whether a type of contact was mentioned or not. 1 MARKED 5 NOT MARKED 0 INAP, 0,5 IN M3. ============================== VAR M970243 COLUMNS 7488 - 7488 NUMERIC M3a-2. 97PI: Get Info - Rep Was it to express an opinion, get information, or to get help with a problem you had? Note: the question allowed for multiple mentions V970242-V970245 are the variables for whether a type of contact was mentioned or not. 1 MARKED 5 NOT MARKED 0 INAP, 0,5 IN M3. ============================== VAR M970244 COLUMNS 7489 - 7489 NUMERIC M3a-3. 97PI: Get Help w/ Problem - Rep Was it to express an opinion, get information, or to get help with a problem you had? Note: the question allowed for multiple mentions V970242-V970245 are the variables for whether a type of contact was mentioned or not. 1 MARKED 5 NOT MARKED 0 INAP, 0,5 IN M3. ============================== VAR M970245 COLUMNS 7490 - 7490 NUMERIC M3a-4. 97PI: Other Reason for Contact - Rep Was it to express an opinion, get information, or to get help with a problem you had? Note: the question allowed for multiple mentions V970242-V970245 are the variables for whether a type of contact was mentioned or not. 1 MARKED 5 NOT MARKED 0 INAP, 0,5 IN M3. ============================== VAR M970246 COLUMNS 7491 - 7492 NUMERIC M3b-1. 97PI: What issues involved: Rep - Men 1 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 0,5 IN M3, 5 IN M3A-1 98 DK 99 NA, RF ============================== VAR M970247 COLUMNS 7493 - 7494 NUMERIC M3b-2. 97PI: What issues involved: Rep - Men 2 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 0,5 IN M3, 5 IN M3A-1, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970248 COLUMNS 7495 - 7496 NUMERIC M3b-3. 97PI: What issues involved: Rep - Men 3 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 0,5 IN M3, 5 IN M3A-1, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970249 COLUMNS 7497 - 7497 NUMERIC M4. 97PI: Contacted Sen 1 this year (Still thinking about this year,) what about Senator [SENATOR 1]? Did you contact Senator [SENATOR 1] or anyone in [HIS/HER] office this year? 1 YES 5 NO 8 DK ============================== VAR M970250 COLUMNS 7498 - 7498 NUMERIC M4a-1 Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 97PI: Express Opinion - Sen1 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M4. ============================== VAR M970251 COLUMNS 7499 - 7499 NUMERIC M4a-2. 97PI: Get Info - Sen1 Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M4. ============================== VAR M970252 COLUMNS 7500 - 7500 NUMERIC M4a-3 97PI: Get Help w/ Problem - Sen1 Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M4. ============================== VAR M970253 COLUMNS 7501 - 7501 NUMERIC M4a-4 97PI: Other Reason for Contact - Sen1 Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M4. ============================== VAR M970254 COLUMNS 7502 - 7503 NUMERIC M4b-1. 97PI: What issues involved: Sen1 - Men 1 What issue or issues were involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 8,5 IN M4, 5 IN M4A-1 98 DK 99 NA, RF ============================== VAR M970255 COLUMNS 7504 - 7505 NUMERIC M4b-2. 97PI: What issues involved: Sen1 - Men 2 See appendix A for codes. Codes 01-97 and: 00 INAP, 8,5 IN M4, 5 IN M4A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970256 COLUMNS 7506 - 7507 NUMERIC M4b-3. 97PI: What issues involved: Sen1 - Men 3 See appendix A for codes. Codes 01-97 and: 00 INAP, 8,5 IN M4, 5 IN M4A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970256A COLUMNS 7508 - 7508 NUMERIC M5. 97PI: Contacted Sen 2 this year Still thinking about this year,) what about Senator [SENATOR 2]? Did you contact Senator [SENATOR 2] or anyone in [HIS/HER] office this year? 1 YES 5 NO 8 DK 9 NA, RF ============================== VAR M970257 COLUMNS 7509 - 7509 NUMERIC M5a-1. 97PI: Express Opinion - Sen2 Was it to express an opinion, get information, or to get help with a problem you had? 1 MARKED 5 NOT MARKED 0 INAP, 5,8,9 IN M5. ============================== VAR M970258 COLUMNS 7510 - 7510 NUMERIC M5a-2. 97PI: Get Info - Sen2 Was it to express an opinion, get information, or to get help with a problem you had? 1 MARKED 5 NOT MARKED 0 INAP, 5,8,9 IN M5. ============================== VAR M970259 COLUMNS 7511 - 7511 NUMERIC M5a-3. 97PI: Get Help w/ Problem - Sen2 Was it to express an opinion, get information, or to get help with a problem you had? 1 MARKED 5 NOT MARKED 0 INAP, 5,8,9 IN M5. ============================== VAR M970260 COLUMNS 7512 - 7512 NUMERIC M5a-4. 97PI: Other Reason for Contact - Sen2 Was it to express an opinion, get information, or to get help with a problem you had? 1 MARKED 5 NOT MARKED 0 INAP, 5,8,9 IN M5. ============================== VAR M970261 COLUMNS 7513 - 7514 NUMERIC M5b-1. 97PI: What issues involved: Sen2 - Men 1 What issue or issues were involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5,8,9 IN M5, 5 IN M5A-1 98 DK 99 NA, RF ============================== VAR M970262 COLUMNS 7515 - 7516 NUMERIC M5b-2. 97PI: What issues involved: Sen2 - Men 2 What issue or issues were involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5,8,9 IN M5, 5 IN M5A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970263 COLUMNS 7517 - 7518 NUMERIC M5b-3. 97PI: What issues involved: Sen2 - Men 3 What issue or issues were involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 8, 5 IN M5, 5 IN M5A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970264 COLUMNS 7519 - 7519 NUMERIC M6. 97PI: Contacted White House this What about someone in the White House? (Did you contact someone in the White House this year?) 1 YES 5 NO ============================== VAR M970265 COLUMNS 7520 - 7520 NUMERIC M6a-1. 97PI: Express Opinion - WhiHs Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 5 IN M6. ============================== VAR M970266 COLUMNS 7521 - 7521 NUMERIC M6a-2. 97PI: Get Info - WhiHs Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 5 IN M6. ============================== VAR M970267 COLUMNS 7522 - 7522 NUMERIC M6a-3. 97PI: Get Help w/ Problem - WhiHs Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 5 IN M6. ============================== VAR M970268 COLUMNS 7523 - 7523 NUMERIC M6a-4. 97PI: Other Reason for Contact - WhiHs Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 5 IN M6. ============================== VAR M970269 COLUMNS 7524 - 7525 NUMERIC M6b-1. 97PI: What issues involved: WhiHs - Men 1 See appendix A for codes. What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] Codes 01-97 and: 00 INAP, 5 IN M6, 5 IN M6a-1 98 DK 99 NA, RF ============================== VAR M970270 COLUMNS 7526 - 7527 NUMERIC M6b-2. 97PI: What issues involved: WhiHs - Men 2 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 5 IN M6, 5 IN M6a-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970271 COLUMNS 7528 - 7528 NUMERIC M7. 97PI: Contacted state legislator What about your state Senator or Representative in STATE CAPITAL? (Did you contact one of these public officials or someone in their office this year?) 1 YES 5 NO 8 DK 9 NA, RF ============================== VAR M970272 COLUMNS 7529 - 7529 NUMERIC M7a-1. 97PI: Express Opinion - State Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,9,5 IN M7. ============================== VAR M970273 COLUMNS 7530 - 7530 NUMERIC M7a-2. 97PI: Get Info - State Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,9,5 IN M7. ============================== VAR M970274 COLUMNS 7531 - 7531 NUMERIC M7a-3. 97PI: Get Help w/ Problem - State Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,9,5 IN M7. ============================== VAR M970275 COLUMNS 7532 - 7532 NUMERIC M7a-4. 97PI: Other Reason for Contact - State Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,9,5 IN M7. ============================== VAR M970276 COLUMNS 7533 - 7534 NUMERIC M7b-1. 97PI: What issues involved: State - Men 1 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 8,9,5 IN M7, 5 IN M7A-1 98 DK 99 NA, RF ============================== VAR M970277 COLUMNS 7535 - 7536 NUMERIC M7b-2. 97PI: What issues involved: State - Men 2 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 8.9,5 IN M7, 5 IN M7A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970278 COLUMNS 7537 - 7538 NUMERIC M7b-3. 97PI: What issues involved: State - Men 3 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 8,9,5 IN M7, 5 IN M7A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970279 COLUMNS 7539 - 7539 NUMERIC M8. 97PI: Contacted local official What about a local official? (Did you contact a local public official this year?) 1 YES 5 NO 8 DK ============================== VAR M970280 COLUMNS 7540 - 7540 NUMERIC M8a-1. Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 97PI: Express Opinion - Local 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M8. ============================== VAR M970281 COLUMNS 7541 - 7541 NUMERIC M8a-2. 97PI: Get Info - Local Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M8. ============================== VAR M970282 COLUMNS 7542 - 7542 NUMERIC M8a-3. 97PI: Get Help w/ Problem - Local Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M8. ============================== VAR M970283 COLUMNS 7543 - 7543 NUMERIC M8a-4. 97PI: Other Reason for Contact - Local Was it to express an opinion, get information, or to get help with a problem you had? [CHECK ALL THAT R MENTIONS, BUT DO NOT PROBE.] 1 MARKED 5 NOT MARKED 0 INAP, 8,5 IN M8. ============================== VAR M970284 COLUMNS 7544 - 7545 NUMERIC M8b-1. 97PI: What issues involved: Local - Men 1 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 8,5 IN M8, 5 IN M8A-1 98 DK 99 NA, RF ============================== VAR M970285 COLUMNS 7546 - 7547 NUMERIC M8b-2. 97PI: What issues involved: Local - Men 2 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 8,5 IN M8, 5 IN M8A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF ============================== VAR M970286 COLUMNS 7548 - 7549 NUMERIC M8b-3. 97PI: What issues involved: Local - Men 3 What issue or issues were involved? [ENTER ALL ISSUES THAT R MENTIONS, BUT DO NOT PROBE.] See appendix A for codes. Codes 01-97 and: 00 INAP, 8,5 IN M8, 5 IN M8A-1, NO FURTHER MENTIONS 98 DK 99 NA, RF M9. [USING RB] People are sometimes asked to call or write to government o in Washington about a political issue. We're interested in whether th happened to you this year, that is, since the first of January of 1997 Please look at page 13 of the booklet, and tell me if any of these typ people encouraged you to contact your Senator or Representative in Con or someone in the White House, about a political issue this year? [CH THAT R REPORTS, BUT DO NOT PROBE] Note: the variables V970287-V970239A denote R's selections from the following list in the marked/unmarked manner. A FAMILY MEMBER A FRIEND OR NEIGHBOR YOUR EMPLOYER SOMEBODY ELSE AT WORK SOMEBODY AT YOUR PLACE OF WORSHIP SOMEBODY FROM AN ORGANIZATION THAT YOU BELONG TO NO ONE [VOL.] OTHER (SPECIFY) [VOL.] M9a. ============================== VAR M970287 COLUMNS 7550 - 7550 NUMERIC 97PI: Family encourage contact 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970288 COLUMNS 7551 - 7551 NUMERIC M9b. 97PI: Friend encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970289 COLUMNS 7552 - 7552 NUMERIC M9c. 97PI: Employer encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970290 COLUMNS 7553 - 7553 NUMERIC M9d. 97PI: Co-worker encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970291 COLUMNS 7554 - 7554 NUMERIC M9e. 97PI: Worship encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970292 COLUMNS 7555 - 7555 NUMERIC M9f. 97PI: Organization encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970293 COLUMNS 7556 - 7556 NUMERIC M9g. 97PI: Media encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970293A COLUMNS 7557 - 7557 NUMERIC M9h. 97PI: Other encourage contact See M9 for complete question wording. 1 MARKED 5 NOT MARKED 8 DK ============================== VAR M970294 COLUMNS 7558 - 7558 NUMERIC M10. 97PI: See ads encouraging contact Thinking about this year, do you recall seeing or hearing any advertisements on the television or in the newspaper encouraging people to contact their Senator or Representative in Congress, or someone in the White House? 1 YES 5 NO 8 DK ============================== VAR M970295 COLUMNS 7559 - 7560 NUMERIC M10a1. 97PI: Issue involved ads - Men 1 What was the issue involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5, 8 IN M10 98 DK 99 NA, RF ============================== VAR M970296 COLUMNS 7561 - 7562 NUMERIC M10a2. 97PI: Issue involved ads - Men 2 What was the issue involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5, 8 IN M10, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970297 COLUMNS 7563 - 7564 NUMERIC M10a3. 97PI: Issue involved ads - Men 3 What was the issue involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5, 8 IN M10, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970298 COLUMNS 7565 - 7565 NUMERIC M11. 97PI: Received mail encourage contact Thinking about this year, do you recall receiving any mail encouraging people to contact their Senator or Representative in Congress, or someone in the White House? 1 YES 5 NO 8 DK ============================== VAR M970299 COLUMNS 7566 - 7567 NUMERIC M11a1. 97PI: What issue involved mail - Men 1 What was the issue involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5, 8 IN M11 98 DK 99 NA, RF ============================== VAR M970300 COLUMNS 7568 - 7569 NUMERIC M11a2. 97PI: What issue involved mail - Men 2 What was the issue involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5, 8 IN M11, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970301 COLUMNS 7570 - 7571 NUMERIC M11a3. 97PI: What issue involved mail - Men 3 What was the issue involved? See appendix A for codes. Codes 01-97 and: 00 INAP, 5, 8 IN M11, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970302 COLUMNS 7572 - 7573 NUMERIC N1. 97PI: Lib/Con Scale -Self [USING RB] Please turn to page 14 in the respondent booklet. We hear a lot of talk these days about liberals and conservatives. In your booklet is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. Where would you place yourself on this scale, or haven't you thought much about this? Note: For N1, N1a, N2 and N3, interviewers implemented an 'active timing' experiment to measure respondent response latency in answering these questions. For each of these questions, the interviewer pressed a key when she or he finished reading the question and again pressed a key when the respondent began speaking to answer the question. After entering the respondent's answer, the interviewer responded to a checkpoint question on whether the timing was accurate or not. Elapsed response times for each of these questions are found in V970360 to V970363 in the timing section at the end of the codebook. 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 96 HAVEN'T THOUGHT MUCH ABOUT THIS ============================== VAR M970303 COLUMNS 7574 - 7574 NUMERIC N1a. 97PI: Accuracy - Self This variable reports the interviewer's assessment of the accuracy of active timing of R's actual answering the previous question. These ti are given in the timing portion of the codebook, V970360-V97063. 1 ACCURATE TIMING 2 NO - R INTERRUPTED MY READING THE QUESTION TO GIVE A RESPONSE 3 NO - R ASKED ME TO RQ OR ASKED A QUESTION BEFORE GIVING HIS/HER ANSWER 4 NO - ALL OTHER INACCURATE TIMINGS ============================== VAR M970304 COLUMNS 7575 - 7575 NUMERIC N1a. 97PI: Lib/Con Scale Had to Choose IF R SAYS DK, HAVEN'T THOUGHT OR MODERATE FOR SELF-PLACEMENT ON LIBERAL/CONSERVATIVE ON LIBERAL/CONSERVATIVE SCALE: If you had to choose, would you consider yourself a liberal or a conservative? 1 LIBERAL 3 MIDDLE OF THE ROAD [VOL] 5 CONSERVATIVE 7 REFUSES TO CHOOSE [VOL] 0 INAP, 1,2,3,4,5,6,7 IN N1 8 DK ============================== VAR M970305 COLUMNS 7576 - 7576 NUMERIC N1a. 97PI: Accuracy - Had to Choose 1 ACCURATE TIMING 2 NO - R INTERRUPTED MY READING THE QUESTION TO GIVE A RESPONSE 3 NO - R ASKED ME TO RQ OR ASKED A QUESTION BEFORE GIVING HIS/HER ANSWER 4 NO - ALL OTHER INACCURATE TIMINGS 0 INAP, 1,2,3,4,5,6,7 IN N1 ============================== VAR M970305A COLUMNS 7577 - 7577 NUMERIC 97PI: Lib/Con Scale Self-Placement - Summary Note: See N1/N1a for complete question texts. Built from N1/N1a. 1 LIBERAL (1/2/3,0; 96/4/8,1) 3 MODERATE (96/4,3; 4,7/8/9) 5 CONSERVATIVE (5/6/7,0; 96/4/8,2) 7 REFUSED TO CHOOSE (96.7) 8 DK (96, 0) ============================== VAR M970306 COLUMNS 7578 - 7578 NUMERIC N2. 97PI: Lib/Con scale Clinton (Still using the booklet) (Where would you place) Bill Clinton (on this scale)? [IWER: ENTER '1' WHEN YOU FINISH READING THE QUESTION] 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7,8 IN N1A 8 DK 9 NA, RF ============================== VAR M970307 COLUMNS 7579 - 7579 NUMERIC N3a. 97PI: Accuracy - Clinton 1 ACCURATE TIMING 2 NO - R INTERRUPTED MY READING THE QUESTION TO GIVE A RESPONSE 3 NO - R ASKED ME TO RQ OR ASKED A QUESTION BEFORE GIVING HIS/HER ANSWER 4 NO - ALL OTHER INACCURATE TIMINGS 0 INAP, 0 in N2 ============================== VAR M970308 COLUMNS 7580 - 7580 NUMERIC N3. 97PI: Lib/Con Scale - Rep (Still using the booklet) (Where would you place) U.S. REP (on this scale)? [IWER: ENTER '1' WHEN YOU FINISH READING THE QUESTION] 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7,8 IN N1A 8 DK 9 NA, RF ============================== VAR M970309 COLUMNS 7581 - 7581 NUMERIC N4a. 97PI: Accuracy - Rep 1 ACCURATE TIMING 2 NO - R INTERRUPTED MY READING THE QUESTION TO GIVE A RESPONSE 3 NO - R ASKED ME TO RQ OR ASKED A QUESTION BEFORE GIVING HIS/HER ANSWER 4 NO - ALL OTHER INACCURATE TIMINGS ============================== VAR M970310 COLUMNS 7582 - 7582 NUMERIC N4. 97PI: Lib/Con scale - US Congress [RB] (Where would you place) the US Congress (on this scale)? Note: Order of instiution names N4-N5 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 96 IN N1 OR 7,8 IN N1A 8 DK ============================== VAR M970311 COLUMNS 7583 - 7583 NUMERIC N5. 97PI: Lib/Con scale - Supr Court [RB] (Where would you place) the Supreme Court (on this scale)? Note: Order of instiution names N4-N5 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970312 COLUMNS 7584 - 7584 NUMERIC N6. 97PI: Lib/Con Scale - Dem Party [RB] (Where would you place) the Democratic party (on this scale)? Note: Order of party names N6-N7 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970313 COLUMNS 7585 - 7585 NUMERIC N7. 97PI: Lib/Con Scale - Rep Party [RB] (Where would you place) the Republican Party (on this scale)? Note: Order of party names N6-N7 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK ============================== VAR M970314 COLUMNS 7586 - 7586 NUMERIC N8. 97PI: Lib/Con Scale - Govt Policy [RB] (Where would you place) current U.S. government policy (on this scale)? 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970315 COLUMNS 7587 - 7587 NUMERIC N9. 97PI: Lib/Con scale - Blacks [RB] (Where would you place) most Blacks (on this scale)? Note: Order of group names N9-N14 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970316 COLUMNS 7588 - 7588 NUMERIC N10. 97PI: Lib/Con Scale - Whites [RB] (Where would you place) most Whites (on this scale)? Note: Order of group names N9-N14 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970317 COLUMNS 7589 - 7589 NUMERIC N11. 97PI: Lib/Con Scale - Men [RB] (Where would you place) most Men (on this scale)? Note: Order of group names N9-N14 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970318 COLUMNS 7590 - 7590 NUMERIC N12. 97PI: Lib/Con Scale - Women [RB] (Where would you place) most Women (on this scale)? Note: Order of group names N9-N14 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970319 COLUMNS 7591 - 7591 NUMERIC N13. 97PI: Lib/Con Scale - Christian Fund [RB] (Where would you place) most Christian Fundamentalists (on this scale)? Note: Order of group names N9-N14 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970320 COLUMNS 7592 - 7592 NUMERIC N14. 97PI: Lib/Con Scale - Gays/Lesbians [RB] (Where would you place) most Gays and Lesbians (on this scale)? Note: Order of group names N9-N14 randomized. Randomization is documented within the collection of randomization variables at the end of the survey variables. The question numbers for the randomization variables closely follow survey question numbers, preceded by "Rand." 1 EXTREMELY LIBERAL 2 LIBERAL 3 SLIGHTLY LIBERAL 4 MODERATE; MIDDLE OF THE ROAD 5 SLIGHTLY CONSERVATIVE 6 CONSERVATIVE 7 EXTREMELY CONSERVATIVE 0 INAP, 7, 8 IN N1A 8 DK 9 NA, RF ============================== VAR M970321 COLUMNS 7593 - 7593 NUMERIC N16. 97PI: How much tax does the govt These next two questions are about the federal government in Washington. First, do you think that people in government waste a lot of the money we pay in taxes, waste some of it, or don't waste very much of it? 1 WASTE A LOT 3 WASTE SOME 5 DON'T WASTE VERY MUCH 8 DK, NOT SURE ============================== VAR M970322 COLUMNS 7594 - 7595 NUMERIC N17. 97PI: What spending is wasteful - men 1 What types of government spending do you consider to be wasteful? PROBE: Anything else? UNTIL R SAYS 'No' See appendix B for codes. Codes 01-97 and: 98 DK 99 NA, RF ============================== VAR M970323 COLUMNS 7596 - 7597 NUMERIC N17. 97PI: What spending is wasteful - men 2 What types of government spending do you consider to be wasteful? PROBE: Anything else? UNTIL R SAYS 'No' See appendix B for codes. Codes 01-97 and: 00 INAP, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970324 COLUMNS 7598 - 7599 NUMERIC N17. 97PI: What spending is wasteful - men 3 What types of government spending do you consider to be wasteful? PROBE: Anything else? UNTIL R SAYS 'No' See appendix B for codes. Codes 01-97 and: 00 INAP, NO FURTHER MENTION 98 DK 99 NA, RF ============================== VAR M970325 COLUMNS 7600 - 7600 NUMERIC P0. 97PI: Religion imp part of pol thinking In this section, we're interested in the role of religion in politics. First, do you consider religion to be an important part of your political thinking, or not? 1 IMPORTANT PART 5 NOT IMPORTANT 8 DK 9 NA, RF ============================== VAR M970326 COLUMNS 7601 - 7601 NUMERIC P1. 97PI: Religion guide to political IF RELIGION IMPORTANT PART OF R'S POLITICAL THINKING Would you say that your religion provides some guidance in your political thinking, quite of bit of guidance, or a great deal of guidance in your political thinking? 1 SOME GUIDANCE 3 QUITE A BIT OF GUIDANCE 5 A GREAT DEAL OF GUIDANCE 0 INAP, 5,8,9 IN P0 8 DK 9 NA, RF ============================== VAR M970327 COLUMNS 7602 - 7602 NUMERIC P2. 97PI: Pol active imp for relig Religion has had an increasing impact on the political views of many Americans. Which of the following two statements comes closer to your view: "Organized religious groups of all kinds should stay out of politics" or "It is important for organized religious groups to stand up for their beliefs in politics." [PROBE ONCE: "If you had to choose..." THEN RQ] 1 ORGANIZED RELIGIOUS GROUPS OF ALL TYPES SHOULD STAY OUT OF POLITICS 5 IT IS IMPORTANT FOR ORGANIZED RELIGIOUS GROUPS TO STAND UP FOR THEIR BELIEFS IN POLITICS 8 DK 9 NA, RF ============================== VAR M970328 COLUMNS 7603 - 7603 NUMERIC P3. 97PI: Church/State separation Which comes closer to your view: "The government should take special steps to protect America's religious heritage" or "There should be a high degree of separation between church and state." [PROBE ONCE: "If you had to choose..." THEN RQ] 1 THE GOVERNMENT SHOULD TAKE SPECIAL STEPS TO PROTECT AMERICA'S RELIGIOUS HERITAGE 5 THERE SHOULD BE A HIGH DEGREE OF CHURCH/STATE SEPARATION 8 DK 9 NA, RF ============================== VAR M970329 COLUMNS 7604 - 7604 NUMERIC P4. 97PI: Relig in politics divide Which comes closer to your view: "The influence of religion on American politics threatens to divide us as a country" or "Religious people must take political action in order to protect their rights." [PROBE ONCE: "If you had to choose..." THEN RQ] 1 THE INFLUENCE OF RELIGION ON AMERICAN POLITICS THREATENS TO DIVIDE US AS A COUNTRY 5 RELIGIOUS PEOPLE MUST TAKE POLITICAL ACTION IN ORDER TO PROTECT THEIR RIGHTS 8 DK 9 NA, RF ============================== VAR M970330 COLUMNS 7605 - 7605 NUMERIC P5. 97PI: Religious groups first priority [USING RB] Please turn to page 15 of the respondent booklet. I'd like you to think for a moment about religious organizations in the United States. Churches and synagogues have many different goals. On page 15 of the booklet, several different goals are listed. If you had to choose among them, which one would be the highest priority, the most important thing religious groups should do? You can just give me the number of your choice. 1 RELIGIOUS GROUPS SHOULD: GIVE THEIR MEMBERS A PLACE OF SHELTER FROM THE BURDENS OF LIFE 2 ENCOURAGE THEIR MEMBERS TO BECOME ACTIVE IN POLITICS 3 PROTECT THEIR MEMBERS FROM THE FALSE TEACHINGS OF OTHER RELIGIOUS GROUPS 4 ENCOURAGE THEIR MEMBERS TO FORM SOCIAL ACTION GROUPS IN THE CONGREGATION 8 DK 9 NA, RF ============================== VAR M970331 COLUMNS 7606 - 7606 NUMERIC P5a. 97PI: Religious groups second (Still on page 15 of the booklet) Which would be your second choice? 1 GIVE THEIR MEMBERS A PLACE OF SHELTER FROM THE BURDENS OF LIFE 2 ENCOURAGE THEIR MEMBERS TO BECOME ACTIVE IN POLITICS 3 PROTECT THEIR MEMBERS FROM THE FALSE TEACHINGS OF OTHER RELIGIOUS GROUPS 4 ENCOURAGE THEIR MEMBERS TO FORM SOCIAL ACTION GROUPS IN THE CONGREGATION 0 INAP, 8,9 IN P5 8 DK 9 NA, RF ============================== VAR M970332 COLUMNS 7607 - 7607 NUMERIC P5b. 97PI: Religious groups last priority (Still on page 15 of the booklet) Which is least important (goal of religious groups)? 1 GIVE THEIR MEMBERS A PLACE OF SHELTER FROM THE BURDENS OF LIFE 2 ENCOURAGE THEIR MEMBERS TO BECOME ACTIVE IN POLITICS 3 PROTECT THEIR MEMBERS FROM THE FALSE TEACHINGS OF OTHER RELIGIOUS GROUPS 4 ENCOURAGE THEIR MEMBERS TO FORM SOCIAL ACTION GROUPS IN THE CONGREGATION 0 INAP, 8,9 IN P5; 8, 9 IN P5A; INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 8 DK ============================== VAR M970333 COLUMNS 7608 - 7608 NUMERIC P6. 97PI: Partial-birth abortion ban There has been discussion recently about a proposed law to ban certain types of late-term abortions, sometimes called partial birth abortions. Do you favor or oppose a ban on these types of abortions? 1 FAVOR STRONGLY 2 FAVOR NOT STRONGLY 4 OPPOSE STRONGLY 5 OPPOSE NOT STRONGLY 8 DK 9 NA, RF ============================== VAR M970334 COLUMNS 7609 - 7609 NUMERIC T1. 97PI: R ever not want to do NES These last few questions concern other times we've interviewed you in the past. We have contacted you several times to ask you to participate in the National Election Studies and you've always been very generous with your time. Do you recall ever feeling that you would prefer not to do an interview when we contacted you? 1 YES 5 NO 0 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN 8 DK ============================== VAR M970334A COLUMNS 7610 - 7610 NUMERIC T1a. 97PI: Why R did not want to do [RB] Looking at page 16 of the booklet, which of the following was most important in making you feel like you didn't want to be interviewed? Was it [READ LIST, THEN PROBE "Which one was most important?" AS NEEDED UNTIL R CHOOSES MOST IMPORTANT ONE] 1 LACK OF INTEREST IN POLITICS 2 INCONVENIENT TIMES TO BE INTERVIEWED 3 LENGTH OF INTERVIEW 4 BEING INTERVIEWED TOO MANY TIMES 5 WORRIED ABOUT WHO WILL SEE THE ANSWERS YOU GIVE 6 OTHER [SPECIFY] [VOL] 0 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN, 5 IN T1 ============================== VAR M970334B COLUMNS 7611 - 7611 NUMERIC T2. 97PI: Number of times R Iwed by NES How many times were you interviewed by the National Election Studies? [IF 'NOT SURE', PROBE: "What would be your best guess?"] 1 ONE 2 TWO 3 THREE 4 FOUR 5 FIVE 6 SIX 7 MORE THAN SIX TIMES 8 NOT SURE, DON'T REMEMBER [AFTER PROBE] 9 NA, RF ============================== VAR M970335 COLUMNS 7612 - 7612 NUMERIC T3. 97PI: If R knew, would R do first Think back to when we first contacted you for an interview. If we had told you in advance that we would want to interview you several more times over the next few years, do you think you would have agreed to do an interview? 1 YES, WOULD HAVE DONE AN INTERVIEW 3 NO, WOULD NOT HAVE DONE AN INTERVIEW 5 WOULDN'T HAVE MADE ANY DIFFERENCE 8 DON'T KNOW, CAN'T SAY [VOL] [DON'T PROBE] 0 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN, 1 IN T1 ============================== VAR M970336 COLUMNS 7613 - 7613 NUMERIC T4. 97PI: Did R have only one IWER Did the same person interview you for all the surveys or did you talk to more than one interviewer? 1 SAME PERSON INTERVIEWED ME 3 TALKED TO MORE THAN ONE INTERVIEWER 5 DON'T RECALL 0 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN ============================== VAR M970337 COLUMNS 7614 - 7614 NUMERIC T4a. 97PI: Did having only one IWER Please tell me if you agree or disagree with the following statement: "Having the same interviewer every time made me feel more like participating in the study." 1 AGREE 5 DISAGREE 6 DIDN'T MAKE ANY DIFFERENCE 7 OTHER [SPECIFY] [VOL] 0 INAP, INTERVIEW CONDUCTED AFTER QUESTION WITHDRAWN, 3 OR 5 IN T4 ============================== VAR M970338 COLUMNS 7615 - 7615 NUMERIC T5. 97PI: Did receiving money help Still thinking about other times we've interviewed you in the past, did receiving money for being interviewed make you more likely or less likely to agree to be interviewed? 1 MORE LIKELY 5 LESS LIKELY 6 MADE NO DIFFERENCE [VOL] 7 DON'T RECALL RECEIVING ANY MONEY [VOL] 8 DK 9 NA, RF ============================== VAR M970339 COLUMNS 7616 - 7623 NUMERIC DEC 4 97PI: Length of interview ============================== VAR M970340 COLUMNS 7624 - 7630 NUMERIC DEC 4 97PI: Section A Length ============================== VAR M970341 COLUMNS 7631 - 7637 NUMERIC DEC 4 97PI: Section B Length ============================== VAR M970342 COLUMNS 7638 - 7644 NUMERIC DEC 4 97PI: Section C Length ============================== VAR M970343 COLUMNS 7645 - 7651 NUMERIC DEC 4 97PI: Section D Length ============================== VAR M970344 COLUMNS 7652 - 7657 NUMERIC DEC 4 97PI: Section E Length ============================== VAR M970345 COLUMNS 7658 - 7663 NUMERIC DEC 4 97PI: Section F Length ============================== VAR M970346 COLUMNS 7664 - 7670 NUMERIC DEC 4 97PI: Section G Length ============================== VAR M970347 COLUMNS 7671 - 7677 NUMERIC DEC 4 97PI: Section H Length ============================== VAR M970348 COLUMNS 7678 - 7684 NUMERIC DEC 4 97PI: Section J1 Length ============================== VAR M970349 COLUMNS 7685 - 7691 NUMERIC DEC 4 97PI: Section J2 Length ============================== VAR M970350 COLUMNS 7692 - 7698 NUMERIC DEC 4 97PI: Section K1 Length ============================== VAR M970351 COLUMNS 7699 - 7705 NUMERIC DEC 4 97PI: Section K2 Length ============================== VAR M970352 COLUMNS 7706 - 7712 NUMERIC DEC 4 97PI: Section L Length ============================== VAR M970353 COLUMNS 7713 - 7719 NUMERIC DEC 4 97PI: Section M Length ============================== VAR M970354 COLUMNS 7720 - 7726 NUMERIC DEC 4 97PI: Section N Length ============================== VAR M970356 COLUMNS 7727 - 7732 NUMERIC DEC 4 97PI: Section P Length ============================== VAR M970358 COLUMNS 7733 - 7739 NUMERIC DEC 4 97PI: Section S Length ============================== VAR M970359 COLUMNS 7740 - 7746 NUMERIC DEC 4 97PI: Section T Length ============================== VAR M970360 COLUMNS 7747 - 7753 NUMERIC DEC 4 97PI: Active Time - Lib/Con Self ============================== VAR M970361 COLUMNS 7754 - 7760 NUMERIC DEC 4 97PI: Active Time - Lib/Con Had Choose ============================== VAR M970362 COLUMNS 7761 - 7767 NUMERIC DEC 4 97PI: Active Time - Lib/Con Clinton ============================== VAR M970363 COLUMNS 7768 - 7774 NUMERIC DEC 4 97PI: Active Time - Lib/Con Rep ============================== VAR M970364 COLUMNS 7775 - 7777 NUMERIC 97PI: Iwer of Record ============================== VAR M970365 COLUMNS 7778 - 7778 NUMERIC 97PI: Refusal Conversion Flag 1 REFUSAL CONVERSION ATTEMPTED 0 NOT A REFUSAL CONVERSION SITUATION ============================== VAR M970366 COLUMNS 7779 - 7781 NUMERIC 97PI: Other interviewer 0 INAP, NO REFUSAL CONVERSION ============================== VAR M970367 COLUMNS 7782 - 7785 NUMERIC 97PI: Result Date ============================== VAR M970368 COLUMNS 7786 - 7787 NUMERIC 97PI: Last Call Number ============================== VAR M970369 COLUMNS 7788 - 7788 NUMERIC 97PI: Iwer Gender 1 MALE 2 FEMALE ============================== VAR M970370 COLUMNS 7789 - 7789 NUMERIC 97PI: Iwer Race 1 WHITE 2 BLACK 7 OTHER ============================== VAR M970371 COLUMNS 7790 - 7790 NUMERIC Rand.D1e 97PI: Pos of Trent Lott in FTs See D1e - D1i in survey variable [Trent Lott is D1e] Codes 5 - 9 99 NA ============================== VAR M970372 COLUMNS 7791 - 7791 NUMERIC Rand.D1f 97PI: Pos of Hillary Clinton in FTs See D1e - D1i in survey variable [Hillary Clinton is D1f] Codes 5 - 9 99 NA ============================== VAR M970373 COLUMNS 7792 - 7792 NUMERIC Rand.D1g 97PI: Pos of Al Gore in FTs See D1e - D1i in survey variable [Al Gore is D1g] Codes 5 - 9 99 NA ============================== VAR M970374 COLUMNS 7793 - 7793 NUMERIC Rand.D1h 97PI: Pos of Rush Limbaugh in FTs See D1e - D1i in survey variable [Rush Limbaugh is D1h] Codes 5 - 9 99 NA ============================== VAR M970375 COLUMNS 7794 - 7794 NUMERIC Rand.D1i 97PI: Pos of Newt Gingrich in FTs See D1e - D1i in survey variable [Newt Gingrich is D1i] Codes 5 - 9 99 NA ============================== VAR M970376 COLUMNS 7795 - 7796 NUMERIC Rand.D2a 97PI: Pos of Blacks in FTs See D2a - D2p in survey variable [Blacks are D2a] Codes 1 - 16 99 NA ============================== VAR M970377 COLUMNS 7797 - 7798 NUMERIC Rand.D2b 97PI: Pos of Whites in FTs See D2a - D2p in survey variable [Whites are D2b] Codes 1 - 16 99 NA ============================== VAR M970378 COLUMNS 7799 - 7800 NUMERIC Rand.D2c 97PI: Pos of Hispanics in FTs See D2a - D2p in survey variable [Hispanics are D2c] Codes 1 - 16 99 NA ============================== VAR M970379 COLUMNS 7801 - 7802 NUMERIC Rand.D2d 97PI: Pos of Men in FTs See D2a - D2p in survey variable [Men are D2d] Codes 1 - 16 99 NA ============================== VAR M970380 COLUMNS 7803 - 7804 NUMERIC Rand.D2e 97PI: Pos of Women in FTs See D2a - D2p in survey variable [Women are D2e] Codes 1 - 16 99 NA ============================== VAR M970381 COLUMNS 7805 - 7806 NUMERIC Rand.D2f 97PI: Pos of Federal Government in FTs See D2a - D2p in survey variable [Federal Government is D2f] Codes 1 - 16 99 NA ============================== VAR M970382 COLUMNS 7807 - 7808 NUMERIC Rand.D2g 97PI: Pos of Congress in FTs See D2a - D2p in survey variable [Congress is D2g] Codes 1 - 16 99 NA ============================== VAR M970383 COLUMNS 7809 - 7810 NUMERIC Rand.D2h 97PI: Pos of Supreme Court in FTs See D2a - D2p in survey variable [Supreme Court is D2h] Codes 1 - 16 99 NA ============================== VAR M970384 COLUMNS 7811 - 7812 NUMERIC Rand.D2i 97PI: Pos of CFs in FTs See D2a - D2p in survey variable [CFs are D2i] Codes 1 - 16 99 NA ============================== VAR M970385 COLUMNS 7813 - 7814 NUMERIC Rand.D2j 97PI: Pos of opponents/pro-life in FTs See D2a - D2p in survey variable [Opponents/Pro Life are D2j] Codes 1 - 16 99 NA ============================== VAR M970386 COLUMNS 7815 - 7816 NUMERIC Rand.D2k 97PI: Pos of supporters/pro-life in FTs See D2a - D2p in survey variable [Supporters/Pro Life are D2k] Codes 1 - 16 99 NA ============================== VAR M970387 COLUMNS 7817 - 7818 NUMERIC Rand.D2l 97PI: Pos of Feminists in FTs See D2a - D2p in survey variable [Feminists are D2l] Codes 1 - 16 99 NA ============================== VAR M970388 COLUMNS 7819 - 7820 NUMERIC Rand.D2m 97PI: 97PI: Pos of Gays/Lesbians in FTs See D2a - D2p in survey variable [Gays/Lesbians are D2m] Codes 1 - 16 99 NA ============================== VAR M970389 COLUMNS 7821 - 7822 NUMERIC Rand.D2n 97PI: 97PI: Pos of Labor Unions in FTs See D2a - D2p in survey variable [Labor Unions are D2n] Codes 1 - 16 99 NA ============================== VAR M970390 COLUMNS 7823 - 7824 NUMERIC Rand.D2o 97PI: Pos of Big Business in FTs See D2a - D2p in survey variable [Big Business are D2o] Codes 1 - 16 99 NA ============================== VAR M970391 COLUMNS 7825 - 7826 NUMERIC Rand.D2p 97PI: Pos of People on Welfare in FTs See D2a - D2p in survey variable [People on Welfare are D2p] Codes 1 - 16 99 NA ============================== VAR M970392 COLUMNS 7827 - 7827 NUMERIC Rand.G2a 97PI: Rand - Pos of Dem in Spen/Service See G2a - G2b in survey variable [Dem in Spend/Serv is G2a] Codes 1 - 2 9 NA ============================== VAR M970393 COLUMNS 7828 - 7828 NUMERIC Rand.G2b 97PI: Rand - Pos of Rep in Spend/Serv See G2a - G2b in survey variable [Rep in Spend/Serv is G2b] Codes 1 - 2 9 NA ============================== VAR M970394 COLUMNS 7829 - 7829 NUMERIC Rand.G3 97PI: Rand - Pos of Blacks in Spend/Serv See G3 - G6 in survey variable [Blacks in Spend/Serv is G3] Codes 3 - 8 9 NA ============================== VAR M970395 COLUMNS 7830 - 7830 NUMERIC Rand.G4 97PI: Rand - Pos of Whites in Spend/Serv See G3 - G6 in survey variable [Whites in Spend/Serv is G4] Codes 3 - 8 9 NA ============================== VAR M970396 COLUMNS 7831 - 7831 NUMERIC Rand.G5 97PI: Rand - Pos of GL in Spend/Serv See G3 - G6 in survey variable [GL in Spend/Serv is G5] Codes 3 - 8 9 NA ============================== VAR M970397 COLUMNS 7832 - 7832 NUMERIC Rand.G6 97PI: Rand - Pos of CFs in Spend/Serv See G3 - G6 in survey variable [CF in Spend/Serv is G6] Codes 3 - 8 9 NA ============================== VAR M970398 COLUMNS 7833 - 7833 NUMERIC Rand.behic 97PI: Pos of behic in behic-behie Rand Codes 1 - 3 9 NA ============================== VAR M970399 COLUMNS 7834 - 7834 NUMERIC Rand.behip 97PI: Pos of behip in behic-behie Rand Codes 1 - 3 9 NA ============================== VAR M970400 COLUMNS 7835 - 7835 NUMERIC Rand.behie 97PI: Pos of behie in behic-behie Rand Codes 1 - 3 9 NA ============================== VAR M970401 COLUMNS 7836 - 7836 NUMERIC Rand.beloc 97PI: Pos of beloc in beloc-beloc Rand Codes 1 - 3 9 NA ============================== VAR M970402 COLUMNS 7837 - 7837 NUMERIC Rand.belop 97PI: Pos of belop in beloc-beloe Rand Codes 1 - 3 9 NA ============================== VAR M970403 COLUMNS 7838 - 7838 NUMERIC Rand.beloe 97PI: Pos of beloe in beloc-beloe Rand Codes 1 - 3 9 NA ============================== VAR M970404 COLUMNS 7839 - 7839 NUMERIC Rand.cfehic 97PI: Pos of cfehic in cfehic-cfehie Rand Codes 1 - 3 9 NA ============================== VAR M970405 COLUMNS 7840 - 7840 NUMERIC Rand.cfehip 97PI: Pos of cfehip in cfehic-cfehie Rand Codes 1 - 3 9 NA ============================== VAR M970406 COLUMNS 7841 - 7841 NUMERIC Rand.cfehip 97PI: Pos of cfehip in cfehic-cfehie Rand Codes 1 - 3 9 NA ============================== VAR M970407 COLUMNS 7842 - 7842 NUMERIC Rand.cfeloc 97PI: Pos of cfeloc in cfeloc-cfeloe Rand Codes 1 - 3 9 NA ============================== VAR M970408 COLUMNS 7843 - 7843 NUMERIC Rand.cfelop 97PI: Pos of cfelop in cfeloc-cfeloe Rand Codes 1 - 3 9 NA ============================== VAR M970409 COLUMNS 7844 - 7844 NUMERIC Rand.cfeloe 97PI: Pos of cfeloe in cfeloc-cfeloe Rand Codes 1 - 3 9 NA ============================== VAR M970410 COLUMNS 7845 - 7845 NUMERIC Rand.blhic 97PI: Pos of blhic in blhic-blhie Rand Codes 1 - 3 9 NA ============================== VAR M970411 COLUMNS 7846 - 7846 NUMERIC Rand.blhip 97PI: Pos of blhip in blhic-blhie Rand Codes 1 - 3 9 NA ============================== VAR M970412 COLUMNS 7847 - 7847 NUMERIC Rand.blhie 97PI: Pos of blhie in blhic-blhie Rand Codes 1 - 3 9 NA ============================== VAR M970413 COLUMNS 7848 - 7848 NUMERIC Rand.blloc 97PI: Pos of blloc in blloc-blloe Rand Codes 1 - 3 9 NA ============================== VAR M970414 COLUMNS 7849 - 7849 NUMERIC Rand.bllop 97PI: Pos of bllop in blloc-blloe Rand Codes 1 - 3 9 NA ============================== VAR M970415 COLUMNS 7850 - 7850 NUMERIC Rand.blloe 97PI: Pos of blloe in blloc-blloe Rand Codes 1 - 3 9 NA ============================== VAR M970416 COLUMNS 7851 - 7851 NUMERIC Rand.cflhic 97PI: Pos of cflhic in cflhic-cflhie Rand Codes 1 - 3 9 NA ============================== VAR M970417 COLUMNS 7852 - 7852 NUMERIC Rand.cflhie 97PI: Pos of cflhie in cflhic-cflhie Rand Codes 1 - 3 9 NA ============================== VAR M970418 COLUMNS 7853 - 7853 NUMERIC Rand.cflhie 97PI: Pos of cflhie in cflhic-cflhie Rand Codes 1 - 3 9 NA ============================== VAR M970419 COLUMNS 7854 - 7854 NUMERIC Rand.cflloc 97PI: Pos of cflloc in cflloc-cflloe Rand Codes 1 - 3 9 NA ============================== VAR M970420 COLUMNS 7855 - 7855 NUMERIC Rand.cfllop 97PI: Pos of cfllop in cflloc-cflloe Rand Codes 1 - 3 9 NA ============================== VAR M970421 COLUMNS 7856 - 7856 NUMERIC Rand.cflloe 97PI: Pos of cflloe in cflloc-cflloe Rand Codes 1 - 3 9 NA ============================== VAR M970422 COLUMNS 7857 - 7857 NUMERIC Rand.L0a 97PI: Rand-Pos of Dem in Aid to Blks See L0a - L0c [Dem in Aid to Blks L0a] Codes 1-2 9 NA ============================== VAR M970423 COLUMNS 7858 - 7858 NUMERIC Rand.L0b 97PI: Rand-Pos of Rep in Aid to Blks See L0a - L0c [Rep in Aid to Blks L0b] Codes 1-2 9 NA ============================== VAR M970424 COLUMNS 7859 - 7859 NUMERIC Rand.L0c 97PI: Rand-Pos of Blacks in Aid to Blks See L0a - L0c [Blacks in Aid to Blks L0c] Codes 1-2 9 NA ============================== VAR M970425 COLUMNS 7860 - 7860 NUMERIC Rand.L0d 97PI: Rand-Pos of Whites in Aid to Blks See L0d - L0f [Whites in Aid to Blks L0d] Codes 3 - 8 9 NA ============================== VAR M970426 COLUMNS 7861 - 7861 NUMERIC Rand.L0e 97PI: Rand-Pos of GL in Aid to Blks See L0d - L0f [GL in Aid to Blks L0e] Codes 3 - 8 9 NA ============================== VAR M970427 COLUMNS 7862 - 7862 NUMERIC Rand.L0f 97PI: Rand-Pos of CFs in Aid to Blks See L0d - L0f [CFs in Aid to Blks L0f] Codes 3 - 8 9 NA ============================== VAR M970428 COLUMNS 7863 - 7863 NUMERIC Rand.L2a 97PI: Rand-Pos of Dem in Womans Place See L2a - L8 [Dem in Womans Place L2a] Codes 1 - 2 9 NA ============================== VAR M970429 COLUMNS 7864 - 7864 NUMERIC Rand.L2b 97PI: Rand-Pos of Rep in Womans Place See L2a - L8 [Rep in Womans Place L2b] Codes 1 - 2 9 NA ============================== VAR M970430 COLUMNS 7865 - 7865 NUMERIC Rand.L3 97PI: Rand-Pos of Blcks in Womans Place See L2a - L8 [Blcks in Womans Place L3] Codes 1 - 2 9 NA ============================== VAR M970431 COLUMNS 7866 - 7866 NUMERIC Rand.L4 97PI: Rand-Pos of whts in Womans Place See L2a - L8 [Whites in Womans Place L4] Codes 3 - 8 9 NA ============================== VAR M970432 COLUMNS 7867 - 7867 NUMERIC Rand.L5 97PI: Rand-Pos of CFs in Womans Place See L2a - L8 [CFs in Womans Place L5] Codes 3 - 8 9 NA ============================== VAR M970433 COLUMNS 7868 - 7868 NUMERIC Rand.L6 97PI: Rand-Pos of GLs in Womans Place See L2a - L8 [GLs in Womans Place L6] Codes 3 - 8 9 NA ============================== VAR M970434 COLUMNS 7869 - 7869 NUMERIC Rand.L8 97PI: Rand-Pos of Women in Womans Place See L2a - L8 [Women in Womans Place L7] Codes 3 - 8 9 NA ============================== VAR M970435 COLUMNS 7870 - 7870 NUMERIC Rand.L7 97PI: Rand-Pos of Men in Womans Place See L2a - L8 [Men in Womans Place L8] Codes 3 - 8 9 NA ============================== VAR M970436 COLUMNS 7871 - 7872 NUMERIC Rand.N4 97PI: Rand-Pos Congress in Lib/Con See N4 - N5 [Congress in Lib/Con N5] Codes 1 - 2 99 NA ============================== VAR M970437 COLUMNS 7873 - 7874 NUMERIC Rand.N5 97PI: Rand-Pos Sup Court in Lib/Con See N5 - N6 [Sup Court in Lib/Con N6] Codes 1 - 2 99 NA ============================== VAR M970438 COLUMNS 7875 - 7876 NUMERIC Rand.N6 97PI: Rand-Pos Dem Party in Lib/Con See N6 - N7 [Dem Party in Lib/Con N6] Codes 3 - 4 99 NA ============================== VAR M970439 COLUMNS 7877 - 7878 NUMERIC Rand.N7 97PI: Rand-Pos Rep Prty in Lib/Con See N6 - N7 [Rep Prty in Lib/Con N7] Codes 3 - 4 99 NA ============================== VAR M970440 COLUMNS 7879 - 7880 NUMERIC Rand.N8 97PI: Rand-Pos Govt Policy in Lib/Con See N8 [Govt Policy in Lib/Con N8] Codes 5 99 NA ============================== VAR M970441 COLUMNS 7881 - 7882 NUMERIC Rand.N9 97PI: Rand-Pos Blcks in Lib/Con [Not randomized due to application error] Codes 6 - 11 99 NA ============================== VAR M970442 COLUMNS 7883 - 7884 NUMERIC Rand.N10 97PI: Rand-Pos Whites in Lib/Con See N10 - N14 [Whites in Lib/Con N10] Codes 6 - 11 99 NA ============================== VAR M970443 COLUMNS 7885 - 7886 NUMERIC Rand.N11 97PI: Rand-Pos Men in Lib/Con See N10 - N14 [Men in Lib/Con N11] Codes 6 - 11 99 NA ============================== VAR M970444 COLUMNS 7887 - 7888 NUMERIC Rand.N12 97PI: Rand-Pos Women in Lib/Con See N10 - N14 [Women in Lib/Con N12] Codes 6 - 11 99 NA ============================== VAR M970445 COLUMNS 7889 - 7890 NUMERIC Rand.N13 97PI: Rand-Pos CFs in Lib/Con See N10 - N14 [CFs in Lib/Con N13] Codes 6 - 11 99 NA ============================== VAR M970446 COLUMNS 7891 - 7892 NUMERIC Rand.N14 97PI: Rand-Pos GLs in Lib/Con See N10 - N14 [GLs in Lib/Con N14] Codes 6 - 11 99 NA ==============================