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 payme