VERSION JULY 21, 2003 CODEBOOK VARIABLE DOCUMENTATION 1996 PRE-POST STUDY (1996.TX) 1996 NES VARIABLE ENTRIES This file should be opened in fixed font, 10 pitch or smaller. Codebook introductory material and appendix material are in separate files. ---------------------------------------------------------------- NOTE ON VARIABLE NAMING: The variable name references used in NES Study codebooks do not include the "V" prefix found in all variable names used within the released SAS and SPSS data definition files (.sas and .sps files). For example, "VAR 920001" and "VAR VERSION" in Study codebooks refer to V920001 and VVERSION in the study data definition files. ============================== DSETID NES Dataset ID Character DSETID. NES dataset ID -------------------------------------------------------------------------- This NES dataset ID is 1996.TX and appears as "NES_DATASET:1996.TX" ============================== VERSION VERSION (DATE) OF DATA FILE Character VERSION. VERSION (DATE) OF DATAFILE -------------------------------------------------------------------------- This corresponds to YYYYMMDD date and appears as "VERSION:YYYYMMDD" ============================== VAR V960001 NUMERIC Process.1 1996 Case ID ----------------------------------------------------------- Panel cases 1001-2318. Cross-section cases 3001-3404. There are gaps in the numbering at 2108, 2118, 3081, 3212, 3213, 3322, 3348, 3369. ============================== VAR V960002 NUMERIC Process.3 Panel/cross indicator ----------------------------------------------------------- 1316 1. Panel case 398 2. Cross-section case ============================== VAR V960003 NUMERIC DEC 4 Process.4 Full sample weight ----------------------------------------------------------- This weight compensates for the unequal probabilities of selection for respondents in different size households and for different non-response across geographic sample design categories and between panel and cross-section respondents. It is post-stratified to the July 1995 Census population projections for age, by sex by Census region categories (Current Population Reports P25-1111, Table 4). This is a 6 digit variable with a coded decimal point and 4 actual decimal places. See also the "Construction of Analysis weights" in the Sample Design section of the Appendix to the codebook for the 1996 study. ============================== VAR V960004 NUMERIC DEC 4 Process.5 1996 Panel only weight ----------------------------------------------------------- This weight is to be used for analyses which use only the 1316 panel cases; the cross-section cases have a value of "0" in this field. The weight compensates for the unequal probabilities of selection for respondents in different size households and for differential non-response across geographic sample design categories. It is post- stratified to the July 1995 Census population projections for age, by sex by Census region categories (Current Population Reports P25-1111, Table 4). This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR V960005 NUMERIC DEC 4 Process.6 1996 Time-series weight ----------------------------------------------------------- This weight should be used in analyses in which the 1996 Panel is compared to earlier unweighted National Election Studies data collections. This variable corrects for panel attrition and for the aging of the Panel respondents. Details on the construction of this variable are provided in the Sample Design section of the Appendix to the codebook for the 1996 Study. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. Cross-section cases have a value of 1.0000. ============================== VAR V960005A NUMERIC DEC 4 Process.6a Additional 1996 Time-series weight - Pre ----------------------------------------------------------- This weight should be used with Pre-election variables. Variables V960005a and V960005b were created because V960005 did not correct for an underrepresentation in Study data of younger and less-educated respondents. V960005a and V960005b are constructed to post-stratify the NES data to match the Current Population Study (CPS) estimate of the distribution of age group by education level. V960005b should be used with Post- election variables. See "NEW WEIGHTS FOR THE 1996 STUDY" in the introductory portion of this codebook and Appendix document "Post-Stratified Cross-Sectional Analysis Weights for the 1992, 1994 and 1996 NES data." This weight should be used in analyses in which the 1996 Panel is compared to earlier unweighted National Election Studies data collections. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR V960005B NUMERIC DEC 4 Process.6b Additional 1996 Time-series weight - Post ----------------------------------------------------------- This weight should be used with Post-election variables. SEE NOTE V960005a. This weight is centered with a mean of 1.0. This is a 6- digit variable with a coded decimal point and 4 actual decimal places. ============================== VAR V960006 NUMERIC Process.7 1995 Case ID (1995 Pilot) for panel cases ----------------------------------------------------------- 5-digit case ID, except: 00000. Inap, 1996 cross-section; panel case not interviewedxx in 1995 pilot ============================== VAR V960007 NUMERIC Process.8 1994 Case ID for panel cases ----------------------------------------------------------- 4-digit case ID, except: 0000. Inap, 1996 cross-section ============================== VAR V960008 NUMERIC Process.9 1993 Case ID (1993 Pilot) for panel cases ----------------------------------------------------------- 5-digit case ID, except: 0000. Inap, 1996 cross-section; panel case not interviewed in 1993 Pilot ============================== VAR V960009 NUMERIC Process.10 1992 Case ID for panel cases ----------------------------------------------------------- 4-digit case ID, except: 0000. Inap, 1996 cross-section; panel case not interviewed in 1992 ============================== VAR V960010 NUMERIC Process.11 1996 Participation: Pre-and Post/ Pre-Only ----------------------------------------------------------- 180 0. Pre Only 1534 1. Pre and Post ============================== VAR V960010A NUMERIC Process.12 Summary: R's participation in 1992,1994,1996 timeseries ----------------------------------------------------------- This summary describes R's participation in the 1992, 1994 and 1996 timeseries studies. Respondents who participated in the 1992 study were interviewed in both the 1992 Pre and 1992 Post. Participation in the 1996 study describes both pre-and-post cases and pre-only respondents. 398 1. Participated 1996 only 718 2. Participated 1996 and 1994 598 3. Participated 1996, 1994, 1992 ============================== VAR V960010B NUMERIC Process.13 Summary, R's participation 1992, 1993, 1994, 1995, 1996 ----------------------------------------------------------- 1996 cross section respondents (codes 1 and 2) have been interviewed only in 1996 (pre only or pre and post interviews). All 1996 panel respondents have been interviewed in the 1994 Post time-series study and may have also been interviewed in the 1992 Pre-Post time-series study. If R was interviewed in 1992 (codes 21-24) he/she was necessarily interviewed in both the 1992 Pre and 1992 Post (this was a requirement to be eligible for the continuing panel). Panel respondents may also have been interviewed in the 1993 and/or 1995 Pilot Studies. 1995 Pilot: 1996 panel respondents who had been fresh cross-section in 1994 (first interviewed in 1994) were eligible for interviewing in the 1995 Pilot Study; 1996 Panel respondents who had been first interviewed in 1992 were not eligible for inclusion in the 1995 Pilot. 1993 Pilot: Panel respondents who were interviewed in both the 1992 Pre and Post were eligible for 1993 Pilot Study interviewing. 1996 ONLY: 62 01. 1996 Pre only 337 02. 1996 Pre and Post 1994 AND 1996: 45 11. 1994, 1996 Pre 284 12. 1994, 1996 Pre and Post 22 13. 1994, 1995 Pilot, 1996 Pre 367 14. 1994, 1995 Pilot, 1996 Pre and Post 1992,1994 AND 1996: 16 21. 1992 Pre and Post, 1994, 1996 Pre 61 22. 1992 Pre and Post, 1994, 1996 Pre and Post 35 23. 1992 Pre and Post, 1993 Pilot, 1994, 1996 Pre 485 24. 1992 Pre and Post, 1993 Pilot, 1994, 1996 Pre and Post ============================== VAR V960011 NUMERIC Admin.1 PRE-ELECTION Day of interview ----------------------------------------------------------- Day of interiew 1-31 coded, except: 99. NA ============================== VAR V960012 NUMERIC Admin.2 PRE ELECTION Month of interview ----------------------------------------------------------- 730 9. September 869 10. October 115 11. November 99. NA ============================== VAR V960013 NUMERIC Admin.3 PRE-ELECTION - Number of days before Election Day ----------------------------------------------------------- This variable is based on the date of interview. It counts the number of days before the election day (November 5, 1996). 99. NA ============================== VAR V960014 NUMERIC Admin.4 PRE-ELECTION Beginning time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA ============================== VAR V960015 NUMERIC Admin.5 PRE-ELECTION Ending time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA ============================== VAR V960016 NUMERIC Admin.6 PRE-ELECTION Interview length in minutes ----------------------------------------------------------- The actual number of minutes is coded, except: 999.0. NA ============================== VAR V960017 NUMERIC Admin.7 PRE-ELECTION Interview number ----------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: 99. NA ============================== VAR V960018 NUMERIC Admin.8 PRE-ELECTION Date of Beginning VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. The 8/6/96 VQ was used in error in only 2 cases. In the 9/3/96 VQ, Rs who had been erroneously asked for placement of House candidates and major parties on the 7- point Liberal-Conservative scale (respondents who answered Haven't Thought Much for self-rating) were assigned an appropriate skip. Note that data for ratings of House candidates and parties do not included these cases. In the 9/11/96 VQ, Choate replaced Campbell as the Reform Party Vice-Presidential candidate (question D1f). In the 9/17/96 VQ, respondents no longer skipped Y12g if they do not answer "Yes" in Y12e. In the 9/25/96 VQ, several Perot items were dropped as documented in specific variables [G3a-G3d(1), K4a-K4a(1), K4b, L2d, L2d(1), L2d(2), L3d, L4d, M1d, M1d(1), M1d(2), M2d, M3d, M3d(1), M3d(2), M4d, N1d]. 2 1. 8/6/96 24 2. 8/27/96 185 3. 9/3/96 168 4. 9/11/96 261 5. 9/17/96 106 6. 9/25/96 113 7. 9/30/96 855 8. 10/4/96 9. NA ============================== VAR V960019 NUMERIC Admin.9 PRE-ELECTION Date of Ending VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview concluded. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. This variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the beginning VQ (previous var). The 8/6/96 VQ was used in error in only 2 cases. In the 9/3/96 VQ, Rs who had been erroneously asked for placement of House candidates and major parties on the 7- point Liberal-Conservative scale (respondents who answered Haven't Thought Much for self-rating) were assigned an appropriate skip. Note that data for ratings of House candidates and parties do not included these cases. In the 9/11/96 VQ, Choate replaced Campbell as the Reform Party Vice-Presidential candidate (question D1f). In the 9/17/96 VQ, respondents no longer skipped Y12g if they do not answer "Yes" in Y12e. In the 9/25/96 VQ, several Perot items were dropped as documented in specific variables [G1a-G3d(1), K4a-K4a(1), K4b, L2d, L2d(1), L2d(2), L3d, L4d, M1d, M1d(1), M1d(2), M2d, M3d, M3d(1), M3d(2), M4d, N1d]. 2 1. 8/6/96 20 2. 8/27/96 178 3. 9/3/96 172 4. 9/11/96 262 5. 9/17/96 106 6. 9/25/96 116 7. 9/30/96 857 8. 10/4/96 9. NA ============================== VAR V960020 NUMERIC Admin.10 PRE-ELECTION - Payment amount ----------------------------------------------------------- 5 5. $5 respondent payment 827 10. $5 respondent payment 5 15. $15 respondent payment 79 20. $20 respondent payment 10 25. $25 respondent payment 00. INAP, no respondent payment ============================== VAR V960021 NUMERIC Admin.11 PRE-ELECTION - Was interview tape recorded ----------------------------------------------------------- 168 1. Yes 1288 5. No 9. NA ============================== VAR V960022 NUMERIC Admin.12 PRE-ELECTION - Verification indicator ----------------------------------------------------------- 1132 0. Not flagged for verification 126 1. Flagged for verification 403 2. Verified 18 3. Verified with discrepancy 1 4. Not verified 34 5. Unable to verify ============================== VAR V960023 NUMERIC Admin.13 PRE-ELECTION - Evaluation indicator ----------------------------------------------------------- 1315 0. Interview not evaluated 16 1. Interview evaluated by supervisor 383 2. Interview evaluated by team leader ============================== VAR V960024 NUMERIC Admin.14 PRE-ELECTION - Refusal conversion indicator ----------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. 236 1. Refusal conversion attempted 1478 5. Not a refusal conversion situation 9. NA ============================== VAR V960025 NUMERIC Admin.15 PRE-ELECTION - Was persuasion letter sent? ----------------------------------------------------------- 93 1. A persuasion letter was sent to R 1621 2. No persuasion letter was sent 9. NA ============================== VAR V960026 NUMERIC Admin.16 IF PERSUASION LETTER WAS SENT: PRE-ELECTION - Type of persuasion letter ----------------------------------------------------------- 18 1. A."Too busy" 13 2. B."Too personal" 43 3. C."Not interested" 4. D."Too old" 7 5. E. Evasive 3 6. F. Gatekeeper 2 7. X. Not at home 9. NA 1621 0. No persuasion letter sent ============================== VAR V960027 NUMERIC Admin.17 PRE-ELECTION - Number of telephone calls ----------------------------------------------------------- Number of calls is coded, except: 99. NA ============================== VAR V960028 NUMERIC Admin.18 PRE-ELECTION - Number of face to face calls ----------------------------------------------------------- Number of calls is coded, except: 99. NA ============================== VAR V960029 NUMERIC Admin.19 PRE-ELECTION - Total number of calls (Phone + FtF) ----------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the"number of calls" variable in past studies. Number of calls coded, except: 99. NA ============================== VAR V960030 NUMERIC Admin.20 PRE-ELECTION - Final result code ----------------------------------------------------------- 1713 1. Interview, complete 1 5. Interview, partial ============================== VAR V960031 NUMERIC Admin.21 PRE-ELECTION - Beginning mode, personal or telephone ----------------------------------------------------------- This is the mode when interview began 1649 1. Personal 65 4. Telephone ============================== VAR V960031A NUMERIC Admin.22 MODE SUMMARY - Pre and Post ----------------------------------------------------------- This variable documents the beginning mode of the Pre and Post interviews. PERSONAL: 948 1. Pre personal and Post personal or Pre personal and no Post IW TELEPHONE: 65 2. Pre telephone and Post telephone or Pre telephone and no Post IW PERSONAL AND TELEPHONE: 701 3. Pre personal and Post telephone 4. Pre telephone and Post personal ============================== VAR V960032 NUMERIC Admin.23 PRE-ELECTION - Ending mode, personal or telephone ----------------------------------------------------------- This is the mode when interview ended. 1646 1. Personal mode 67 4. Telephone 9. NA ============================== VAR V960033 NUMERIC Admin.24 Sample Release ----------------------------------------------------------- In order that analyses of respondents' reactions to campaign events not be confounded with ease or difficulty of contacting or conducting interviews with respondents, NES has, since 1984, followed a strategy of releasing Pre- election sample in stages. In 1996 the sample was released in four quarter samples at approximately two week intervals. The allocation of sample lines to target periods was random, at the segment level; the sets of assigned lines are known as replicates. Dates of release were as follows: 1st replicate 9/3, 2nd replicate 9/12, 3rd replicate 9/26, 4th replicate 10/10. Panel cases that required tracking because the current address of the respondent was not known were released with the first replicate. Two replicates of cross-section cases were designated as 'reserve' to release as needed, depending on an evaluation of sample performance prior to the release of replicate 3. The reserve replicates of cross-section cases were released as follows: replicate 5 with replicate 3 and replicate 6 with replicate 4. 474 1. Replicate 1, released September 3 455 2. Replicate 2, released September 12 371 3. Replicate 3, released September 26 381 4. Replicate 4, released October 10 20 5. Reserve replicate 5, released with replicate 3 (Sept. 26) 13 6. Reserve replicate 5, released with replicate 4 (Oct. 10) ============================== VAR V960034 NUMERIC Admin.25 Sample release summary ----------------------------------------------------------- Built from release variable and date of iw. 201 1. Target period 1, interviewed in target period 1 (Sept 3-Sept 11) 246 2. Target period 2, interviewed in target period 2 (Sept 12-Sept 25) 221 3. Target period 3, interviewed in target period 3 (Sept 26-Oct 9) 392 4. Target period 4, interviewed in target period 4 (Oct 10-Nov 4) 273 5. Target period 1, interviewed outside of target period 209 6. Target period 2, interviewed outside of target period 170 7. Target period 3, interviewed outside of target period 2 8. Target period 4, interviewed outside of target period ============================== VAR V960035 NUMERIC Admin.26 Pre question 'form' summary ----------------------------------------------------------- This variable compares with the 'Form' variable of previous (non-CAPI) studies and describes the format of (questions included in) the instrument. Questions F1-F4 and H4-H8 were administered to a random half-sample of respondents. 422 0. R administered both F1-F4 and H4-H8 444 1. R not administered F1-F4 412 2. R not administered H4-H8 436 3. R administered neither F1-F4 nor H4-H8 ============================== VAR V960036 NUMERIC CSheet.1 PRE-ELECTION COVERSHEET, CS Item 3. (Panel only) Does R still live at the address on sample label ----------------------------------------------------------- The address on the label for the Panel respondents reflected knowledge of R's whereabouts right before the field period began. (The Sample Label address may or may not have corresponded to R's address at the time of the 1994 interivew; R's 1994 address may have been updated between the 1994 interview and the beginning of the 1996 Pre field period). 1160 1. Yes 144 5. No 9. NA 398 0. Inap, cross-section ============================== VAR V960037 NUMERIC CSheet.2 IF R NO LONGER LIVES AT ADDRESS ON SAMPLE LABEL PRE-ELECTION COVERSHEET, CS Item 3d. (Panel only) New address is: ----------------------------------------------------------- The address for every Panel repondents who had moved since the 1994 Post- election study was evaluated by the field supervisors. Addresses beyond reasonable driving distance by local interviewers were classified as out of range and assigned to phone interview to be completed by selected phone interviewers. 31 1. Out of range 109 3. Within range 5. Can't find 9. NA 1574 0. Inap, cross section case; 1 in question CSheet.3 ============================== VAR V960038 NUMERIC CSheet.3 PRE-ELECTION COVERSHEET,CS Item 5 (Panel only) I need to verify that your full name is [Name of Respondent]. I also need to verify that you were born on [Birth month and year]. R NAME, BIRTH, AND GENDER ARE: ----------------------------------------------------------- 1254 1. Identical to sample label 62 5. Not identical 9. NA 398 0. INAP, 1996 Cross-section ============================== VAR V960039 NUMERIC CSheet.4 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Name marked different ----------------------------------------------------------- 50 1. Yes 12 5. No 9. NA 1652 0. INAP, 1996 cross-section; 1,9 in question CSheet.5 ============================== VAR V960040 NUMERIC CSheet.5 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Sex marked different ----------------------------------------------------------- 1 1. Yes 61 5. No 9. NA 1652 0. INAP, 1996 cross-section; 1,9 in question CSheet.5 ============================== VAR V960041 NUMERIC CSheet.6 IF NAME, BIRTH, OR GENDER IS NOT IDENTICAL TO SAMPLE LABEL PRE-ELECTION COVERSHEET (Panel only) Different birth date marked ----------------------------------------------------------- 14 1. Yes 48 5. No 9. NA 1652 0. INAP, 1996 cross-section; 1,9 in question CSheet.5 ============================== VAR V960042 NUMERIC CSheet.7 PRE-ELECTION COVERSHEET, CS Item 6 (Cross-section only) Household listing obtained from: ----------------------------------------------------------- 356 1. HU member 5 2. Neighbor 3. Apartment manager 2 4. Landlord 4 5. Observation 7 7. Other 9. NA 1316 0. INAP, panel respondent ============================== VAR V960043 NUMERIC CSheet.8 PRE-ELECTION COVERSHEET, CS Item 8 HOUSEHOLD LISTING: (Cross-section only) Selection table ----------------------------------------------------------- The Selection Table is used to select a respondent from all household members who are eligible adults. (An eligible adult is a U.S. citizen who is 18 years of age or older by Election Day.) The Selection Table appears on the Coversheet below the Household Listing. After a complete listing of the HH is taken, each eligible adult is assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males are numbered by increments of 1 according to descending age; females are numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then uses the Selection Table to determine the "Number" of the eligible adult to be interviewed. The Selection Table itself consists of 2 parallel total number of eligible adults in the household; in the second column (same row) is identified the Number" of the person who will be the respondent. There are 8 different Selection Tables used and they are randomly assigned. [Note that although only 8 tables are used, there are 12 codes in this variable because the 8 tables are used in cycles of 12; this procedure is used to equalize the probability of selection for each eligible adult]. A summary describing all 8 Selection Tables appears below. PERSONS PERSON SELECTED (person "Number") A B1 B2 C D E1 E2 F 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 2 2 2 3 1 1 1 2 2 3 3 3 4 1 1 2 2 3 3 4 4 5 1 2 2 2 4 3 5 5 6 or more 1 2 2 2 4 5 5 6 72 1. A 31 2. B1 27 3. B2 66 4. C 61 5. D 33 6. E1 36 7. E2 68 8. F 9. NA 1316 0. Inap, panel ============================== VAR V960044 NUMERIC CSheet.9 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Selection table: person number selected as R. ----------------------------------------------------------- 248 1. R is person numbered 1 127 2. R is person numbered 2 18 3. R is person numbered 3 5 4. R is person numbered 4 5. R is person numbered 5 6. R is person numbered 6 0. INAP, panel respondent ============================== VAR V960045 NUMERIC CSheet.10 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Total number of persons in HH: from household listing. ----------------------------------------------------------- 92 1. One person 143 2. Two persons 49 3. Three persons 65 4. Four persons 30 5. Five persons 8 6. Six persons 7 7. Seven persons 1 8. Eight or more persons 9. NA 1316 0. INAP, panel respondent ============================== VAR V960046 NUMERIC CSheet.11 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Total number of eligible adults in HU: from household listing. ----------------------------------------------------------- 129 1. One eligible adult 219 2. Two eligible adults 29 3. Three eligible adults 20 4. Four eligible adults 1 5. Five eligible adults 6. Six eligible adults 9. NA 1316 0. INAP, panel respondent ============================== VAR V960046A NUMERIC CSheet.11A COVERSHEET -Pre HOUSEHOLD LISTING: Total number of eligible adults in HU ----------------------------------------------------------- For Panel cases, data from the 1994 or 1992 Household Listing were included here. 580 1. One eligible adult 936 2. Two eligible adults 138 3. Three eligible adults 55 4. Four eligible adults 5 5. Five eligible adults 6. Six eligible adults 9. NA ============================== VAR V960047 NUMERIC CSheet.12 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Household composition code. ----------------------------------------------------------- The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age (by election day) or older; all individuals included in the HH composition codes below refer to adults. A designation of a HH member as "the householder" (HHR) describes HU member who owns or rents the home (in whose name the lease is held). Cohabiting couples are coded as married (30,40, 50-52). Roommates of opposite sex are coded 11,12,21,22; in all cases of unrelated roommates the respondent is HHR. 34 10. 1 adult male HHR 5 11. 1 adult male HHR plus 1 other non-relative 3 12. 1 adult male HHR plus 2 or more non-relatives 58 20. 1 adult female HHR 9 21. 1 adult female HHR plus 1 other non-relative 10 22. 1 adult female HHR plus 2 or more non-relatives 191 30. 1 married couple: no children or all children living at home are under 18 8 40. 1 married couple plus 1 other relative 20 50. 1 married couple plus 2 or more other relatives 2 51. 1 married couple plus 1 other non-relative 1 52. 1 married couple plus 2 or more non-relatives 3 60. 1 unmarried male HHR plus 1 other relative 3 70. 1 unmarried male HHR plus 2 or more other relatives 23 80. 1 unmarried female HHR plus 1 other relative 26 90. 1 unmarried female HHR plus 2 or more other relatives 95. Relatives of opposite sex, unclear who is HHR 99. NA 1316 00. INAP, panel respondent ============================== VAR V960048 NUMERIC CSheet.13 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children under 6 years old in household. ----------------------------------------------------------- 327 0. No children under 6 years old in HH 42 1. One child 22 2. Two children 3 3. Three children 1 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR V960049 NUMERIC CSheet.14 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 6-9 years old in household. ----------------------------------------------------------- 351 0. No children 6-9 years old 31 1. One child 12 2. Two children 2 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR V960050 NUMERIC CSheet.15 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 10-13 years old in household. ----------------------------------------------------------- 340 0. No children 10-13 years old 46 1. One child 10 2. Two children 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR V960051 NUMERIC CSheet.16 PRE-ELECTION COVERSHEET HOUSEHOLD LISTING: (Cross-section only) Number of children 14-17 years old in household. ----------------------------------------------------------- 346 0. No children 14-17 years old 41 1. One child 7 2. Two children 2 3. Three children 4. Four children 5. Five children 9. NA; INAP, panel respondent ============================== VAR V960052 NUMERIC CSheet.17 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD1 Describe the type of structure in which the respondent lives (sample address). ----------------------------------------------------------- For panel cases, if this var was NA and R had not moved between 1994 and 1996, data from 1994 were duplicated here. 85 1. Mobile home 1116 2. Detached single family 73 3. Multi-family 241 4. Apartment house 49 5. Condo complex 121 7. Other (specify) 9. NA ============================== VAR V960053 NUMERIC CSheet.18 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2. Is there a building manager, security guard, or other gatekeeper whose cooperation you need to gain access to the R's housing unit? ----------------------------------------------------------- 46 1. Yes 29 2. No, but building is locked/subdivision is gated and locked 1549 5. No 9. NA ============================== VAR V960054 NUMERIC CSheet.19 IF BUILDING MANAGER / GUARD / GATEKEEPER OR LOCKED PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD2a Check the box below that best describes the situation. ----------------------------------------------------------- 9 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 18 2. Building Manager/ other Gatekeeper must get permission from someone in R's HU before you are allowed to make contact with the household 44 7. Other (describe situation) 9. NA 1639 0. Inap, 5,9 in CD2 ============================== VAR V960055 NUMERIC CSheet.20 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3c Did R refuse initially? ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 132 1. Yes 298 5. No 9. NA 1266 0. Inap due to incorrect skip, case not reviewed (5,9 in question CSheet22) and interviewer did not ignore skip error ============================== VAR V960056 NUMERIC CSheet.21 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3d. Did R break any appointment? ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. (For CD3d, since recovery was only attempted for cases having resistance indicated in CD3a, information about appointments broken by unresisting respondents is not represented). 274 0. None 39 1. One 15 2. Two or more 9. NA; Inap, not reviewed (5,9 in CD3a) and not completed by interviewer ============================== VAR V960057 NUMERIC CSheet.22 IF R HAS MADE CONTACT WITH SOMEONE AT THE HOUSHOLD UNIT/ PHONE NUMBER: PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3a. Was there resistance from this person? ----------------------------------------------------------- This question can refer to resistance from anyone contacted at the HU. 343 1. Yes 1317 5. No 9. NA ============================== VAR V960058 NUMERIC CSheet.23 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 7 1. Marked 336 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960059 NUMERIC CSheet.24 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 31 1. Marked 312 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960060 NUMERIC CSheet.25 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 110 1. Marked 233 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960061 NUMERIC CSheet.26 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 20 1. Marked 323 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960062 NUMERIC CSheet.27 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 1 1. Marked 342 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960063 NUMERIC CSheet.28 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 6 1. Marked 337 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960064 NUMERIC CSheet.29 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(7). If there was any resistance from the R, what reasons were given: . . . (G) No reason given ----------------------------------------------------------- This variable indicates that R resisted but did not give a specific reason for unwillingness to be interviewed. Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 78 1. Marked 265 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960065 NUMERIC CSheet.30 PRE-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item CD3e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) ----------------------------------------------------------- Due to an error in the skip logic on the paper coversheets, in most interview cases items CD3c, CD3d and CD3e A-H were not completed by the interviewer. An attempt was made to recover as much as possible of this missing information by reviewing call-records for all cases with responses of Yes or NA in CD3a, "Was there resistance from this person?" (Resistance from individuals other than the selected respondent was disregarded in the recovery process). Note that in some instances, interviewers ignored the incorrect skip and completed these items on the coversheet. 69 1. Marked 274 5. Not marked 9. NA 1371 0. Inap, case not reviewed (5,9 in CSheet 22) ============================== VAR V960066 NUMERIC CSheet.31 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z1. R's sex is: ----------------------------------------------------------- 769 1. Male 945 2. Female ============================== VAR V960067 NUMERIC CSheet.32 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z2. R's race is: ----------------------------------------------------------- For panel cases, if the interviewer did not complete this variable, the data from the 1994 coversheet was duplicated here. 1454 1. White 207 2. Black 19 3. American indian or Alaskan native 24 4. Asian or Pacific islander 7. Other 9. NA ============================== VAR V960068 NUMERIC CSheet.33 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z3. Other persons present at the interview were (CHECK ALL THAT APPLY): ----------------------------------------------------------- 1037 1. No one (no other box checked) 90 2. Children under 6 only 69 3. Older children only 21 4. Children under 6 and older children 155 5. Spouse only 47 6. Spouse and children under 6 30 7. Spouse and older children 19 8. Spouse, children under 6, older children 96 9. Other relatives only 13 10. Other relatives and children under 6 4 11. Other relatives and older children 1 12. Other relatives, children under 6, older children 7 13. Other relatives and spouse 1 14. Other relatives, spouse, children under 6 15. Other relatives, spouse, older children 77 16. Other relatives, spouse, children under 6, older children 10 17. Other adults only 9 18. Other adults and children under 6 6 19. Other adults and older children 3 20. Other adults, children under 6, older children 3 21. Other adults and spouse 2 22. Other adults, spouse, children under 6 1 23. Other adults, spouse, older children 3 24. Other adults, spouse, children under 6, older children 4 25. Other adults and other relatives 1 26. Other adults, other relatives, children under 6 3 27. Other adults, other relatives, older children 28. Other adults, other relatives, children under 6, older children 1 29. Other adults, other relatives, spouse 30. Other adults, other relatives, spouse, children under 6 31. Other adults, other relatives, spouse, older children 32. Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) 99. NA ============================== VAR V960069 NUMERIC CSheet.34 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z4. R's cooperation was: ----------------------------------------------------------- 1106 1. Very good 456 2. Good 94 3. Fair 10 4. Poor 5. Very poor 9. NA ============================== VAR V960070 NUMERIC CSheet.35 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z5. R's general level of information about politics and public affairs seemed: ----------------------------------------------------------- 224 1. Very high 446 2. Fairly high 605 3. Average 310 4. Fairly low 82 5. Very low 9. NA ============================== VAR V960071 NUMERIC CSheet.36 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z6. Rate R's apparent intelligence: ----------------------------------------------------------- 197 1. Very high 648 2. Fairly high 725 3. Average 88 4. Fairly low 7 5. Very low 9. NA ============================== VAR V960072 NUMERIC CSheet.37 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z7. How suspicious did R seem to be about the study, before the interview? ----------------------------------------------------------- 1497 1. Not at all suspicious 143 3. Somewhat suspicious 26 5. Very suspicious 9. NA ============================== VAR V960073 NUMERIC CSheet.38 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. Overall, how great was R's interest in the interview? ----------------------------------------------------------- 331 1. Very high 570 2. Above average 615 3. Average 117 4. Below average 34 5. Very low 9. NA ============================== VAR V960074 NUMERIC CSheet.39 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z9. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------- 1554 1. Completely sincere 98 2. Usually sincere 13 3. Often seemed to be insincere 9. NA ============================== VAR V960075 NUMERIC CSheet.40 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z10. Do you feel R reported income correctly? ----------------------------------------------------------- 1524 1. Yes, think R reported correctly 51 2. No, think R reported incorrectly 1 3. Refused income questions 74 5. No, think R reported dishonestly 9. NA ============================== VAR V960076 NUMERIC CSheet.41 IF IWR FEELS THAT R DID NOT REPORT CORRECT INCOME / : IF R REFUSED INCOME QUESTIONS : PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z10a. If possible, give a reasonable estimate of what R's family income is: ----------------------------------------------------------- 1. <$2999 1 2. $3.000-4,999 3 3. $5.000-6,999 2 4. $7.000-8,999 1 5. $9.000-9,999 7 6. $10.000-10,999 2 7. $11.000-11,999 1 8. $12.000-12,999 9. $13.000-13,999 10. $14.000-14,999 5 11. $15.000-16,999 3 12. $17.000-19,999 11 13. $20.000-21,999 4 14. $22.000-24,999 10 15. $25.000-29,999 12 16. $30.000-39,99 8 17. $35,000-39,999 12 18. $40,000-44,999 2 19. $45,000-49,999 10 20. $50,000-59,999 9 21. $60,000-74,999 4 22. $75,000 + 98. DK 17 99. NA 1588 00. Inap, 1,9 in Z10 ============================== VAR V960077 NUMERIC CSheet.42 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <1st mention> ----------------------------------------------------------- 38 10. Negative - general 73 11. Negative - too long 8 12. Negative - too complicated 31 13. Negative - boring/tedious/repetitious 1 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 28 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 36 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 72 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 123 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 6 40. R was agitated or stressed by interview PROCESS 4 41. R became angry at interview CONTENT 7 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 9 50. R could not read respondent booklet 995 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 182 80. Neutral or no feedback (1st mention only) 99. NA ============================== VAR V960078 NUMERIC CSheet.43 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <2nd mention> ----------------------------------------------------------- 10. Negative - general 19 11. Negative - too long 8 12. Negative - too complicated 25 13. Negative - boring/tedious/repetitious 3 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 10 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 15 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 27 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 71 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 5 40. R was agitated or stressed by interview PROCESS 4 41. R became angry at interview CONTENT 5 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 9 50. R could not read respondent booklet 149 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960079 NUMERIC CSheet.44 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <3rd mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 7 12. Negative - too complicated 10 13. Negative - boring/tedious/repetitious 5 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 7 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 12 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 32 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 7 40. R was agitated or stressed by interview PROCESS 3 41. R became angry at interview CONTENT 5 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 5 50. R could not read respondent booklet 54 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960080 NUMERIC CSheet.45 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <4th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 5 13. Negative - boring/tedious/repetitious 2 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 4 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 3 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 10 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 8 40. R was agitated or stressed by interview PROCESS 2 41. R became angry at interview CONTENT 4 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 5 50. R could not read respondent booklet 20 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960081 NUMERIC CSheet.46 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <5th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 1 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 4 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 1 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 3 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 3 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 2 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 2 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 3 50. R could not read respondent booklet 9 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960082 NUMERIC CSheet.47 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <6th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 4 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 2 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 2 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 1 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 1 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960083 NUMERIC CSheet.48 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <7th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 1 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 2 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 2 40. R was agitated or stressed by interview PROCESS 1 41. R became angry at interview CONTENT 1 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960084 NUMERIC CSheet.49 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <8th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 2 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 1 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 1 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960085 NUMERIC CSheet.50 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <9th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 1 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 2 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960086 NUMERIC CSheet.51 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <10th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 1 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960087 NUMERIC CSheet.52 PRE-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z11. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <11th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales," R was slow reader or non-reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge 40. R was agitated or stressed by interview PROCESS 41. R became angry at interview CONTENT 1 45. R became concerned about sampling purpose or bias: "why do you come to the old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read respondent booklet 70. R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.) 99. NA; inap, no further mention ============================== VAR V960088 NUMERIC IWR.1 Pre Interviewer of record ID ----------------------------------------------------------- Interviewer's 4-digit ID and: 9999. NA ============================== VAR V960089 NUMERIC IWR.2 Pre Supervisor ID ----------------------------------------------------------- Field Supervisor's 4-digit ID and: 9999. NA ============================== VAR V960090 NUMERIC IWR.3 Pre Interviewer gender ----------------------------------------------------------- 232 1. Male 1482 2. Female 9. NA ============================== VAR V960091 NUMERIC IWR.4 Pre Interviewer education ----------------------------------------------------------- 1. 1-8 grades 2. Some high school 110 3. High school graduate 650 4. Some college 677 5. College degree 241 6. Master's degree 36 7. Phd 9. NA ============================== VAR V960092 NUMERIC IWR.5 Pre Interviewer race ----------------------------------------------------------- 1544 1. White 101 2. Black 34 3. Native American 8 4. Asian 19 7. Other 9. NA ============================== VAR V960093 NUMERIC IWR.6 Pre Interviewer ethnicicty ----------------------------------------------------------- 1187 0. No ethnic identity coded 88 1. Hispanic 437 7. Other 9. NA ============================== VAR V960094 NUMERIC IWR.7 Pre Interviewer languages ----------------------------------------------------------- 1491 0. English (only) 146 1. Spanish 77 7. Other ============================== VAR V960095 NUMERIC IWR.8 Pre Interviewer experience ----------------------------------------------------------- Interviewer's years of experience, and: 99. NA ============================== VAR V960096 NUMERIC IWR.9 Pre interviewer age (bracketed) ----------------------------------------------------------- 187 1. 18-34 years 141 2. 35-40 years 263 3. 41-45 years 335 4. 46-50 years 149 5. 51-55 years 185 6. 56-60 years 239 7. 61-64 years 215 8. 65-79 years 9. NA ============================== VAR V960097 NUMERIC Cand.1 House race type ----------------------------------------------------------- Codes represent type of race in the congressional district of R's 1996 interview location. For a complete list of codes usable for type of congressional race, see RACE TYPE Master Code. Note: 14 interviews were conducted before the status of the congressional race in R's district assumed its final form. These cases are flagged in V960127, and the race type projected at the time the interview was administered is documented in V960128. In these cases survey data are consistent with V960128. 640 12. Democrat incumbent running -- Republican challenger 18 14. Democrat incumbent running unopposed 842 21. Republican incumbent running -- Democratic challenger 51 24. Republican incumbent running unopposed 88 55. Democratic incumbent not running -- Democratic and Republican candidates 74 65. Republican incumbent not running -- Democratic and Republican candidates 00. Washington D.C. ============================== VAR V960098 NUMERIC Cand.2 Senate race type ----------------------------------------------------------- Codes represent type of race in 1996 sample state. For a complete list of codes usable for type of Senate race, see RACE TYPE Master Code. 224 12. Democratic incumbent running -- Republican challenger 374 21. Republican incumbent running -- Democratic challenger 293 55. Democratic incumbent not running -- Democratic and Republican candidates 86 65. Republican incumbent not running -- Democratic and Republican candidates 81. Democratic incumbents -- no race in state 246 82. Republican incumbents -- no race in state 247 85. Democratic and Republican incumbents -- no race in state 95. Two senate races in state (Kansas only) 00. Inap, Washington DC ============================== VAR V960099 NUMERIC Cand.3 Democratic House candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. 161 31. Open race Democratic House candidate 659 33. Incumbent Democratic House candidate 842 35. Challenging democratic House candidate 00. No Democratic House candidate (type race 24); Washington DC ============================== VAR V960100 NUMERIC Cand.4 Republican House candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. 161 32. Open race Republican House candidate 893 34. Incumbent Republican House candidate 641 36. Challenging Republican House candidate 00. No Republican House candidate (type race 14); Washington DC ============================== VAR V960101 NUMERIC Cand.5 Retiring House Representative code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. 87 41. Retiring Democratic House Representative 74 42. Retiring Republican House Representative 00. No retiring Representative (type race 12,14,21,24); Washington DC ============================== VAR V960102 NUMERIC Cand.6 Democratic Senate candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the candidate in the regular Senate race. 390 11. Open race Democratic Senate candidate 224 13. Incumbent Democratic Senate candidate 374 15. Challenging Democratic Senate candidate 00. No race in state; Washington DC ============================== VAR V960103 NUMERIC Cand.7 Republican Senate candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the candidate in the regular Senate race. 390 12. Open Race Republican Senate candidate 374 14. Incumbent Republican Senate candidate 224 16. Challenging Republican Senate candidate 00. No race in state; Washington DC ============================== VAR V960104 NUMERIC Cand.8 Retiring Senator candidate code ----------------------------------------------------------- See the CANDIDATE NUMBER Master codes. In Kansas (type race 95) there were 2 Senate races, the regular Senate race and a special race. This variable describes the regular Senate race. 293 19. Democratic Senator, Term Not Up (state with 1 race) 97 29. Republican Senator, Term Not Up (state with 1 race) 00. No race in state; no retiring senator (type race 12,14,21,24); Washington DC ============================== VAR V960105 CHARACTER Sample.1 1996 State abbreviation and congressional district ----------------------------------------------------------- This variable provides the state (2-character Postal abbreviation) and congressional district in which R was residing at the time of the 1996 study. ============================== VAR V960105A CHARACTER Sample.1A State and congressional district of Rs who voted out of CD ----------------------------------------------------------- This variable is alpha. In the first two characters are the Postal state abbreviation, in the last two characters the Congression district number. For Rs who answered "No" when asked if they voted within the county of their residence, an attempt was made to determine the CD where R voted. An attempt was also made to pursue any other indications that R voted in a CD other than the one identified in question Sample1. If the state of R's vote is determined but not the CD, then the state has been coded in the first two characters and the CD is represented as "99." If it has been determined that R voted out of the CD of residence but the location of vote (state and CD) was not identified, then 9999 has been coded. 9995. Inap, R voted in same CD as V960105 (voted in county or out of county) 9997. Inap, nonvoter 9999. R voted out of CD, CD NA 0000. Inap, no Post IW ============================== VAR V960106 NUMERIC Sample.2 1996 State and congressional district ----------------------------------------------------------- This variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1996 study. State code resides in first 2 digits, CD number in last 2 digits. ============================== VAR V960106A NUMERIC Sample.3 1994 State and Congressional District (Panel cases) ----------------------------------------------------------- For the Panel component, this variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1994 study. State code resides in first 2 digits, CD number in last 2 digits. 0. Inap, 1996 cross-section ============================== VAR V960106B NUMERIC Sample.4 1992 State and Congressional District (Panel cases) ----------------------------------------------------------- For the Panel component, if R was originally selected in 1992, this variable provides the state (ICPSR state code) and congressional district in which R was residing at the time of the 1992 study. State code resides in first 2 digits, CD number in last 2 digits. 0. Inap, 1996 cross-section; panel case not interviewed in 1992 (selected in 1994) ============================== VAR V960106C NUMERIC Sample.5 1993 State and Congressional District (Panel cases) ----------------------------------------------------------- For the Panel component, if R was originally selected in 1992, this is the state (ICPSR state code) and congressional district where R was residing in 1993 if R participated in the 1993 Pilot. Note that a comparable variable is not available for the 1995 Pilot; in the 1995 Pilot CD of respondent was not determined. 0. Inap, 1996 cross-section; 1994 cross-section; R not interviewed in 1993 ============================== VAR V960107 NUMERIC Sample.6 Congressional district number ----------------------------------------------------------- This refers to the congressional district in which R was residing at the time of the 1996 interview. Codes 1-52. ============================== VAR V960108 NUMERIC Sample.7 FIPS state code - R's 1996 Interview location ----------------------------------------------------------- This is the FIPS [Federal Information Processing Standards] code of the state in which R was residing at the time of the 1996 interview. 44 1. Alabama 2. Alaska 65 4. Arizona 24 5. Arkansas 140 6. California 38 8. Colorado 14 9. Connecticut 10. Delaware 1 11. Washington DC 90 12. Florida 81 13. Georgia 1 15. Hawaii 16. Idaho 46 17. Illinois 87 18. Indiana 24 19. Iowa 11 20. Kansas 21. Kentucky 20 22. Louisiana 23. Maine 32 24. Maryland 38 25. Massachusetts 97 26. Michigan 53 27. Minnesota 1 28. Mississippi 36 29. Missouri 30. Montana 22 31. Nebraska 2 32. Nevada 18 33. New Hampshire 56 34. New Jersey 17 35. New Mexico 87 36. New York 24 37. North Carolina 38. North Dakota 38 39. Ohio 4 40. Oklahoma 37 41. Oregon 47 42. Pennsylvania 44. Rhode Island 1 45. South Carolina 1 46. South Dakota 49 47. Tennessee 136 48. Texas 11 49. Utah 50. Vermont 123 51. Virginia 32 53. Washington 12 54. West Virginia 43 55. Wisconsin 11 56. Wyoming ============================== VAR V960109 NUMERIC Sample.8 ICPSR state code of Interview Location ----------------------------------------------------------- This refers to the state (ICPSR code) in which R was residing at the time of the 1996 interview. NEW ENGLAND: 1. Connecticut 2. Maine 3. Massachusetts 4. New Hampshire 5. Rhode Island 6. Vermont MIDDLE ATLANTIC: 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania EAST NORTH CENTRAL: 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin WEST NORTH CENTRAL: 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota SOLID SOUTH: 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas BORDER STATES: 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington DC 56. West Virginia MOUNTAIN STATES: 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming PACIFIC STATES: 71. California 72. Oregon 73. Washington EXTERNAL STATES: 81. Alaska 82. Hawaii ============================== VAR V960110 NUMERIC Sample.9 FIPS state and county ----------------------------------------------------------- The FIPS State code is represented in digits 1 and 2 of this variable, the FIPS County code in the last 3 digits. For the Panel component, this variable refers to the location of the state and county from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross-section component, this reflects the location of the state and county from which the respondent was selected in 1996. ============================== VAR V960111 CHARACTER Sample.10 Primary Area (PSU) Name ----------------------------------------------------------- This is the Primary Selection Unit (PSU) name. For the Panel component, this variable refers to the location of the Primary Area from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects the location of the Primary Area from which the respondent was selected in 1996. ============================== VAR V960112 NUMERIC Sample.11 Primary Area code ----------------------------------------------------------- This is the Primary Selection Unit (PSU) code. First digits in the range 1,2,3 represent PSUs in the Cross- section component of the sample; first digits 4,5,6 represent PSUs in the 1996 Panel. For the Panel component, this variable refers to the location of the Primary Area from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects the location of the Primary Area from which the respondent was selected in 1996. The first digits used with each of the 2-digit codes appears in parentheses. The slash "/" separates descriptions of distinct codes used for the cross- section/panel. 01. New York NY (5) 02. Los Angeles CA (5) 03. Chicago IL (5) 04. Philadelphia PA (5) 05. Detroit MI (5) 06. San Francisco CA (5) 07. Washington DC-MD-VA (5) 08. Dallas-Ft Worth TX (5) 09. Houston TX (5) 10. Boston MA (1,5) 11. New Haven CT/ Nassau-Suffolk NY (2/5) 12. St. Louis MO-IL (5) 13. Manchester-Nashua NH/ Pittsburgh PA (2/5) 14. Baltimore MD (5) 15. Minneapolis MN-WI (5) 16. Atlanta GA (5) 17. Buffalo NY (5) 18. Newark NJ (5) 20. New York NY/ Buffalo NY/ Elk Co. PA (1/2/3) 21. Philadelphia PA-NJ/ New Haven CT (1/5) 22. Nassau-Suffolk NY (1) 23. Atlantic City NJ (5) 24. Manchester NH (5) 26. Atlantic City NJ/ Milwaukee WI (2/5) 27. Dayton OH (5) 28. Kansas City MO-KS (5) 29. Des Moines (5) 30. Chicago IL/ Milwaukee WI (1/2) 31. Detroit MI/ Grand Rapids MI (1/5) 32. Cleveland OH/Switzerland-Ohio IN/ Fort Wayne IN (1/3/5) 33. Steubenville OH-WV (5) 34. Saginaw MI (5) 36. Madison WI/ Birmingham AL (2/5) 39. Wheeling-Steubenville WV-OH/ Columbus GA-AL (2/5) 40. Des Moines IA/ Miami FL (2/5) 41. St. Louis MO-IL (1) 42. Taney Co. MO/ Jacksonville FL (3/5,6) 43. Lakeland FL (5) 44. McAllen TX (5) 45. Waco TX (5) 47. Wheeling WV-OH (5) 49. Knoxville TN (5) 50. Washington DC/Richmond-Petersburg VA (1/2,5) 51. Harrisonburg VA (3) 52. Baltimore MD (1) 53. Seattle WA (5) 54. Miami-Hialeh FL/Whitfield Co. GA (1/3) 55. Columbus GA-AL/ Denver CO (2/5) 56. Anaheim CA (5) 57. Jacksonville FL/ Riverside CA (2/5) 58. Lakeland-WinterHaven FL/ Fresno CA (2/5) 59. Eugene OR (5) 60. Knoxville TN/ Phoenix AZ (2/5) 62. Birmingham AL (2) 63. Schuyler Co. NY (4) 64. Gardner MA (4) 65. Sanilac Co. MI (4) 66. Decatur Co. IN (4) 68. Saline Co. NE (4) 70. Houston TX/ Jim Wells Co. TX/ Mower Co. MN (1,3/4) 71. Dallas-Ft Worth TX (1) 73. Waco TX/ Bulloch Co. GA (2/4) 74. McAllen TX/ Sabine Co. LA (2/4) 76. Hale Co. TX (4) 77. Ashley Co. AR (4) 78. Bedford Co. TN (4) 80. Salt Lake City-Ogden UT/ Montgomery Co. VA (2/4,6) 81. Denver CO/ Sandoval Co. NM/ Robeson Co. NC (1/3/4) 82. El Dorado Co. CA (4) 84. Carbon Co. WY (4) 90. Los Angeles CA (1) 91. Seattle/Tacoma WA (1) 92. Fresno CA (2) 93. Eugene-Springfield OR (2) 94. Anaheim CA (1) 96. San Francisco CA (1) ============================== VAR V960113 NUMERIC Sample.12 Segment Number ----------------------------------------------------------- For the Panel component, this variable refers to the location of the area segment from which the respondent's household was originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects the location of the area segment from which the respondent was selected in 1996. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. ============================== VAR V960114 NUMERIC Sample.13 Number of Household Units ----------------------------------------------------------- This describes the household of R's location at the time of the 1996 interview. 369 1. One HU 4 2. Two HUs 1 3. Three HUs 9. NA 1316 0. Inap, Panel case ============================== VAR V960115 NUMERIC Sample.14 1996 Census Region - Interview Location ----------------------------------------------------------- For Panel respondents, this is the region of R's interview location in 1996. 260 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 458 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 642 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 354 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) ============================== VAR V960116 NUMERIC Sample.15 Census Region in 1994 (Panel Respondents) ----------------------------------------------------------- For Panel respondents, this is the region of R's location in 1994. 195 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 367 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 487 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 267 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) 0. Inap, 1996 cross-section ============================== VAR V960117 NUMERIC Sample.16 Census Region in 1992 (Panel Respondents) ----------------------------------------------------------- For Panel respondents, this is the region of R's location in 1992 (if R was originally selected in 1992). 201 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 366 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 481 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 268 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) 0. Inap, 1996 cross-section ============================== VAR V960118 NUMERIC Sample.17 Belt Code ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. Coded according to the 1990 Census and 1990 Office of Management and Budget (OMB) definitions, 1990 Census Population reports (as reported in the 1992 Annual Metro, City and County Data book) and 1990 Census "urbanized area" (as shown in the 1994 Rand McNally Road Atlas - 70th edition. For segments from the 1980 National Sample Frame, code 1 includes all 1980 National Sample Frame self-representing areas, plus Newark, NJ (as well as SRP Nassau-Suffolk NY as part of the NYC CMSA) and Anaheim and Riverside CA (as part of the LA CMSA) plus six other non-selfrepresenting primary areas included within the `population over 2,000,000' definition (Miami-Fort Lauderdale, FL CMSA, Cleveland-Akron-Lorain, OH CMSA, Seattle-Tacoma, WA CMSA, San Diego, CA MSA, Phoenix AZ MSA and Tampa-St Petersburg- Clearwater, FL MSA). For Segments from the 1990 National Sample Frame, code 1 includes all except two of the 28 1990 National Sample Frame self-representing areas. Central Cities of Denver, Co MSA and Kansas City MSA are NOT to be coded 1. Central Cities of all other self-representing areas of the 1990 National Sample Frame are coded 1 (including Nassau- Suffolk NY and Newark NJ as part of the NYC, NY-Northern NJ CMSA; Los Angeles, Anaheim, and Riverside CA as part of the LA-etc. CMSA; and San Francisco and Oakland CA as part of the SF-Oakland CA CMSA). For the most part, no 1990 Frame non-selfrepresenting MSA Central Cities are coded 1, except as noted below. [NOTE: In 1990, the PSU definition in New England states is the New England County Metropolitan Area (NECMA). This means that for the 1990 Frame segments in New England--there may be Central Cities of MSAs included in the NECMA definition that are not in the CMSA/MSA definition. For example, in Boston MA (1990 frame) the Central Cities include not only those for Boston MSA but some from other New England MSAs -- some of which could be outside of the Boston CMSA definition and could be coded `2'. It also means that in the Manchester- Nashua NH NECMA (non-selfrepresenting) there are two segment selections in Nashua, NH (central city of Nashua MA PMSA) which is part of the Boston MA CMSA and has therefore been coded `1'.] Central Cities - as designated in Metropolitan Statistical Areas, 1990, U.S. Office of Management and Budget, Washington, D.C. (June 1990). Six largest CMSAs - Statistical Abstract of the United States 1991, (111th Edition), U.S. Department of Commerce, Economics and Statistics Administration, Bureau of the Census, Table No. 38. "70 Largest Metropolitan Areas-- Racial and Hispanic Origin Populations: 1990" Pp 33. Suburbs - defined as all "urbanized areas" in the Primary Area exclusive of the areas coded 1' and 2' above, plus the remainder of any county which includes a central city or parts of a central city. (NOTE: For segments from the 1980 Frame only, in the New England division where MSA boundaries do not follow county lines, it is necessary to limit this category to the SMSA part of a county which includes a central city.) See also the note under code 1' for the 1990 Frame. 202 1. Central Cities of the six largest (population over 4,500,000) Consolidated Metropolitan Statistical Areas (CMSAs), plus the 15 next largest CMSA/MSAs (population over 2,000,000) 263 2. Central Cities of CMSAs and MSAs with fewer than 2,000,000 population (exclusive of those in the 21 largest CMSA/MSAs -- code 1) 337 3. Suburbs of the six largest CMSA/MSAs 339 4. Suburb of all other CMSA/MSAs 514 5. Adjacent Areas: includes all territory beyond the outer boundary of the suburban belt, but within 50 miles of the central business district of a central city 59 6. Outlying Area: includes all territory more than 50 miles from the central business district of a central city ============================== VAR V960119 NUMERIC Sample.18 Population in 1000s ----------------------------------------------------------- For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. The actual 1990 Census Place population is coded in thousands, rounding to the nearest whole thousand (from the 1990 Population total for the city/place as reported in the 1992 Annual Metro City and County Data Book). 9999. 9,998,500 persons or over 0000. Rural place, no defined Census Place, or Census Place with fewer than 500 persons ============================== VAR V960120 NUMERIC Sample.19 Size of Place ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. Coded according to the 1990 Census. The major objective of the Census Bureau in delineating urbanized areas is to provide a better separation of urban and rural population in the vicinity of large citites. An urbanized area consists of a central city or cities, and surrounding closely settled territory ("urban fringe"). Size of Place codes 21 and 41 include areas that are in the "urban fringe" but are not Census Places. Note for Codes 50-53: in a few cases, Non-MSA PSUs (based on the 1980 OMB SMSA definitions) contain areas which are now part of a 1990 PMSA or MSA (based on the June 1990 OMB definition). In these cases, the Size of Place Code for any SSUs (segments) within such areas are coded in the "40s" rather than in the "50s" as shown. This occurred in El Dorado county CA (the major part of the El Dorado/Alpine Co, CA PSU #82) which is now a part of the Sacramento CA MSA, and also for one SSU (segment) in the Gardner MA PSU (#64), which is now a part of the Worchester MA MSA. THE SIX LARGEST CMSAs PLUS THE 15 NEXT LARGEST CMSAs /MSAs (I.e. those coded 1 or 3 [possibly 5, rarely 6] on the Belt Code: - - - - - - - - - - - - - - - - - - - - - - - - - - - 11. Central Cities (these would have been coded 1 on the Belt Code SUBURBS OF THE 6 LARGEST CMSAs AND THE 15 NEXT LARGEST CMSAs/MSAs (coded 3, possibly 5, or, rarely, 6 on the Belt Code: - - - - - - - - - - - - - - - - - - - - - - - - - - - 20. Rural (including rural places with less than 2,500 population 21. 2,500-9,999 plus other urbanized areas ("urban fringe" not in Census places) 22. 10,000-29,999 23. 30,000-49,999 24. 50,000-99,999 25. 100,000-149,999 26. 150,000-349,999 27. 350,000 and over, exclusive of cities coded 11 CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (exclusive of those in the six largest CMSAs and 15 next largest CMSA/MSAs): - - - - - - - - - - - - - - - - - - - - - - - - - - - CENTRAL CITIES IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 2 on Belt Code): 30. Under 50,000 (identified by OMB, June 1990, as Central Cities 31. 50-000-99,999 32. 100,000-149,999 33. 150,000-349,999 34. 350,000 and over SUBURBS IN CMSAs/MSAs WITH LESS THAN 2,000,000 POPULATION (coded 4 or 5 or, rarely, 6 in Belt Code: 40. Rural (including rural places with less than 2,500 population) 41. 2,500-9,999 42. 10,000-29,999 43. 30,000-49,999 44. 50,000-99,999 45. 100,000-149,999 46. 150,000 and over "NON-CMSA/PMSA/MASs" 50. Rural (including rural places with less than 2,000,000 population) 51. 2,500-9,999 52. 10,000-29,999 53. 30,000-49,999 ============================== VAR V960121 NUMERIC Sample.20 Census tract/ED indicator ----------------------------------------------------------- For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. 1497 1. Tracted 217 2. Enumeration District (ED) ============================== VAR V960122 NUMERIC Sample.21 1996 Sampling Error Code ----------------------------------------------------------- For Panel respondents who have moved, the data corresponding to their original sampling address was coded here. This code contains information for computing sampling errors for both combined cross-section/panel and panel- only analysis. See 1996 NES Sampling documentation in appendix to this codebook. ============================== VAR V960122A NUMERIC Sample.22 1994 Sampling Error code (Panel Respondents) ----------------------------------------------------------- This 3 digit variable corresponds to V63 and V64 in the 1994 Study: the first 2 digits contain the 1994 Sampling Error Stratum code and the last digit represents the 1994 SECU or Sampling Error Computation Unit code. 999. Inap, 1996 Cross-section ============================== VAR V960122B NUMERIC Sample.23 1992 Sampling Error code (Panel Respondents) ----------------------------------------------------------- 999. Inap, 1996 Cross-section; Panel case not interviewed in 1992 (first selected in 1994) ============================== VAR V960123 NUMERIC Sample.24 1980 Census SMSA (Standard Metropolitan Statistical Area) ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. For Panel respondents who moved since their original NES contact (1992, 1994), the data corresponding to their original sampling address was coded here. These SMSA codes were obtained from the Federal Information Processing Standard Publication, U.S. Department of Commerce, National Bureau of Standards. The 1980 SMSA Codes have for the most part been carried over by the Office of Management and Budget (OMB) to the 1990 Metropolitan Statistical Areas (MSA's). However, some MSA names and definitions have been modified by OMB to reflect shifts in population and changes in SMSA codes have been retained for all parts of the MSA primary sampling units (PSU's). It should be remembered that, particularly in the case of PMSAs (which are part of consolidated areas (or CMSAs) some counties or county parts may in 1990 be defined by OMB as part of a different PMSA (a good example is Chicago, IL). It was felt that for NES analysis, to retain the older SMSA codes, which correspond to the 1980 sampling frame used for the panel component of this sample, was most appropriate for all MSA or PMSA areas in that component. In those areas designated "Non-SMSA" in our sample frame ("Non-MSA" on most of our documentation for 1996 NES), there are two PSUs (#464, Gardner, MA, and #482, El Dorado/Alpine, CA) in which some of the 1980 rural area has in 1990 met the requirements for inclusion in an MSA; in these cases the size of place code was modified to reflect this and the 1990 MSA number is indicated for the affected segments (segment 009 in Gardner, MA, used in the 1996 panel, where Barre town--not associated with any SMSA in 1980--is now a part of the 1990 Worcester, MA, MSA, and all of the 1996 NES Panel segments in El Dorado/Alpine, CA,-- all in El Dorado county which is part of the 1990 Sacramento, CA, MSA.) 200. Albuquerque NM 360. Anaheim-Santa Ana-Garden Grove, CA 520. Atlanta, GA 560. Atlantic City, NJ 720. Baltimore, MD 1000. Birmingham, AL 1120. Boston, MA 1280. Buffalo, NY 1600. Chicago, IL 1680. Cleveland OH 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4720. Madison WI 4760. Manchester, NH 4880. McAllen-Pharr-Edinburgh, TX 5000. Miami, FL 5080. Milwaukee, WI 5120. Mpls-St Paul, MN-WI 5350. Nashua NH 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5600. New York, NY-NJ 5640. Newark, NJ 6140. Petersburg-Colonial Heights-Hopewell VA 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6760. Richmond, VA 6780. Riverside-San Bernardino, Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7160. Salt Lake City-Ogden UT 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9240. Worcester, MA (1990 MSA definition) 0000. INAP; location not in SMSA (MSA) ============================== VAR V960124 NUMERIC Sample.25 1990 NECMA/SMSA ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. The NECMA is the New England County Metropolitan Area code as described in the 1990 SRC National Sample Design and Development documentation. For the Panel component, this variable refers to R's location when originally selected in 1992 or 1994; the respondent may have moved since then. For the Cross- section component, this reflects R's location where selected in 1996. In 1990 the U.S. Census adopted slightly different wording and abbreviations for metropolitan areas, now known collectively as Metropolitan Areas (MAs). What in 1980 were Standard Metropolitan Statistical Areas (SMSAs) became in 1990 either Metropolitan Statistical Areas (MSAs) or Primary Metropolitan Statistical Areas (PMSAs). MSA is used for a metropolitan area which stands alone, i.e., is not a part of a Consolidated Metropolitan Statistical Area (CMSA). PMSA is used for a metropolitan area which is part of a larger CMSA. The metropolitan area standards for the 1990's generally reflect a continuity with those adopted for the 1980's and maintain the basic concepts originally developed in 1950. The few substantive changes made between 1980 and 1990 are detailed in the Federal Register, Vol. 55, No.62 cited in the footnote. New England County Metropolitan Areas (NECMAs) provide an alternative to the official city-and-town based metropolitan statistical areas in that Census region for the convenience of data users who desire a county-defined set of areas. NECMAs have their separate definition standards detailed in the Federal Register (p. 12159). Since the 1990 SRC National Sample primary stage of selection was based on the NECMA in New England, the 1990 NECMA is provided in place of 1990 MSA or PMSA for this variable. For consistency, New England Panel segments which are a part of a 1990 NECMA also have the NECMA coded here. NECMA numbers end with the numeral 3. 360. Anaheim-Santa Ana-Garden Grove, CA 520. Atlanta, GA 560. Atlantic City, NJ 720. Baltimore, MD 875. Bergen-Passiac, NJ PMSA (Former code and title: 6040 Paterson-Clifton-Passaic, NJ) 1000. Birmingham, AL 1123. Boston-Lawrence-Salem-Lowell-Brockton, MA NECMA 1125. Boulder-Longmont, CO PMSA 1145. Brazoria, TX PMSA 1280. Buffalo, NY 1600. Chicago, IL 1680. Cleveland OH 1800. Columbus, GA-AL 1920. Dallas-Ft Worth, TX 2000. Dayton, OH 2080. Denver-Boulder, CO 2120. Des Moines, IA 2160. Detroit, MI 2400. Eugene-Springfield, OR 2760. Fort Wayne, IN 2800. Fort Worth-Arlington TX, PMSA 2840. Fresno, CA 3000. Grand Rapids, MI 3360. Houston, TX 3600. Jacksonville, FL 3760. Kansas City, MO-KS 3840. Knoxville, TN 3965. Lake County, IL PMSA 3980. Lakeland-Winter Haven, FL 4480. Los Angeles-Long Beach, CA 4720. Madison WI 4763. Manchester-Nashua, NH NECMA 4880. McAllen-Pharr-Edinburgh, TX 5000. Miami, FL 5015. Middlesex-Somerset-Hunterdon, NJ PMSA (former code and title: 5460 New Brunswick-Perth Amboy-Sayreville NJ) 5080. Milwaukee, WI 5120. Minneapolis-St Paul, MN-WI 5350. Nashua, NH PMSA 5380. Nassau-Suffolk, NY 5480. New Haven-West Haven, CT 5483. New Haven-Waterbury-Meriden, CT NECMA 5600. New York, NY-NJ 5640. Newark, NJ 5700. Niagara Falls, NY PMSA 5775. Oakland, CA PMSA 6160. Philadelphia, PA-NJ 6200. Phoenix, AZ 6280. Pittsburgh, PA 6453. Portsmouth-Dover-Rochester, NH NECMA 6760. Richmond, VA 6780. Riverside-San Bernardino, Ontario, CA 6920. Sacramento, CA (1990 MSA definition) 6960. Saginaw, MI 7040. St. Louis, MO-IL 7160. Salt Lake City-Ogden, UT MSA 7360. San Francisco-Oakland,CA 7600. Seattle-Everett, WA 8003. Springfield, MA NECMA 8080. Steubenville-Wierton, OH-WV 8800. Waco, TX 8840. Washington, DC-MD-VA 9000. Wheeling, WV-OH 9243. Worcester-Fitchburn-Leominster, MA NECMA 0000. INAP; location not in SMSA (MSA)/ NECMA ============================== VAR V960125 NUMERIC Sample.26 1990 Census CMSA (Consolidated Metropolitan Statistical Area). ----------------------------------------------------------- See the appendix on CENSUS DEFINITIONS. For Panel respondents who moved since theIR ORIGINAL NES CONTAC T (1992, 1994) the data corresponding to their original sampling address was coded here. The 1990 Consolidated Metropolitan Statistical Area (CMSA) codes are in most cases identical to the 1980 SCSA codes with the exceptions noted in parenthesis. In addition to the major changes noted, minor changes in SCSA and CMSA names have also occurred between 1980 and 1990. The six largest CMSA's are marked with **. 7. Boston-Lawrence-Salem MA-NH 10. Buffalo-Niagara Falls NY 14. Chicago-Gary-Lake County IL-IN-WI** 28. Cleveland-Akron-Lorain OH 31. Dallas-Ft Worth TX (Since Dallas and Ft Worth were made separate PMSAs in 1990, this new CMSA was added in 1990) 34. Denver-Boulder CO (Since Denver and Boulder were made separate PMSAs in 1990, this new CMSA was added in 1990) 35. Detroit-Ann Arbor MI** 42. Houston-Galveston-Brazoria TX 49. Los Angeles-Anaheim-Riverside CA** 56. Miami-Fort Lauderdale FL 63. Milwaukee-Racine WI 70. New York-Northern New Jersey-Long Island NY-NJ-CT** 77. Philadelphia-Wilmington-Trenton PA-NJ-DE-MD** 78. Pittsburgh-Beaver Valley PA 84. San Francisco-Oakland-San Jose CA** 91. Seattle-Tacoma WA 960125 00. INAP, Location not in CMSA. This includes old code 32 (Dayton Springfield, OH) which is no longer consolidated in 1990 since Dayton and Springfield are combined in a single MSA in 1990) ============================== VAR V960126 NUMERIC Sample.27 1990 Census Tract 1 ----------------------------------------------------------- This variable and the next (item Sample.28) provide the 1990 Census Tract number(s) for segment. For Panel cases, if more than 2 Census Tracts are identified with the segment or if a tract was divided up into more than 2 new tract numbers between the 1980 Census and the 1990 Census, this is the lowest 1990 Census Tract number representing the segment. For Cross-section cases there are not more than 2 Census Tracts associated with any segment. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. ============================== VAR V960126A NUMERIC Sample.28 1990 Census Tract 2 ----------------------------------------------------------- This variable and the previous (item Sample.27) provide the 1990 Census Tract number(s) for segment. For Panel cases, if more than 2 Census Tracts are identified with the segment or if a tract was divided up into more than 2 new tract numbers between the 1980 Census and the 1990 Census, this is the lowest 1990 Census Tract number representing the segment. For Cross-section cases there are not more than 2 Census Tracts associated with any segment. This variable has been recoded to missing data for the Public Use Data File. Contact NES if special access to this information is desired. 0000.0. Inap, only 1 CT ============================== VAR V960127 NUMERIC Summary.1 Flag - changed congressional race status ----------------------------------------------------------- In some congressional districts, the final form of the congressional race was not determined at the beginning of the 1996 Pre interviewing period. This variable documents (codes 1 and 2) 14 cases within such districts where interviewing occurred before the status of the congressional race was finalized. In these cases, the names of the most likely candidates were used in the administration of the interview (for code 1, see the next variable for the race type used at the time of interview in these cases). In all cases coded 1, the incumbent remained unchanged but challenger status was altered - either a challenger was added (change from unopposed to opposed incumbent) or else dropped (change from opposed to unopposed, expected challenger not present in final race). For cases coded 1, data about the incumbent candidate have been preserved and challenger data have been coded NA or Inap as appropriate according to the final race type. For cases coded 2, questions which identified wrong (Republican) candidate name have been coded NA. 1700 0. Status of congressional race did not change during Pre interviewing period; status of congressional race changed during Pre interviewing period but interview conducted with final race type and candidate names 7 1. Status of congressional race changed during Pre interviewing period, interview not conducted with final race type and candidate names -- RACE TYPE CHANGED 7 2. Status of congressional race changed during Pre interviewing period, interview not conducted with final candidate names, substitution of major party candidate name (in all cases, Republican candidate) -- RACE TYPE NOT CHANGED ============================== VAR V960128 NUMERIC Summary.2 IF CONGRESSIONAL RACE TYPE WAS NOT FINAL AT TIME OF INTERVIEW AND CHANGED AFTER INTERVIEW WAS CONDUCTED: Change in Type Race - Congressional type race at time of interview ----------------------------------------------------------- For cases where congressional race type changed to its final form after the interview was conducted, this variable describes the status of the congressional race at the time the interview was administered. The final form of the Congressional race is coded in congressional district vars and the type race var, and the data have been made consistent with final type race; data for non-final candidates are not represented in the datafile. 12. Democrat incumbent running -- Republican challenger 14. Democrat incumbent running unopposed 2 21. Republican incumbent running -- Democratic challenger 5 24. Republican incumbent running unopposed 55. Democratic incumbent not running -- Democratic and Republican candidates 65. Republican incumbent not running -- Democratic and Republican candidates 00. Inap, congressional race type did not change after interview was administered (0,2 in previous variable) ============================== VAR V960129 NUMERIC Summary.3 Flag - incorrect congressional district administered in Pre ----------------------------------------------------------- Cases coded 1,2,3,4,5 have Pre variables referring to the House candidates NA. For code 2, if R also moved, the attempt to identify new CD was in error. Code 4 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 5 indicates cases where IWR thought assigned CD assignment incorrect. For code 7, variables referring to the House candidates are not NA. 6 1. CD incorrect because R moved (new CD not followed) 2 2. CD incorrect because misidentified 6 3. CD information not loaded into Pre CAPI application, House candidate questions not administered 1 4. CD incorrect - IWR error; IWR administered House cand names from wrong CD 5. CD incorrect - IWR error; IWR skipped House-related questions 1 7. CD incorrect, R moved and new CD not followed, but interviewer substituted correct names in interview (data not in error) 0. CD correctly identified for R in Pre; Washington DC ============================== VAR V960129A NUMERIC Summary.4 Flag - incorrect congressional district administered in Post ----------------------------------------------------------- Cases coded 1,2,3,4,5 have Post variables referring to the House candidates NA. (Codes 1,2,3 include cases coded 1,2,3 in question Summary.3 which were still not corrected at the time of the Post.) Code 4 indicates cases where the IWR attempted to make CD correction for either an erroneous pre-load or else because IWR mistakenly thought assigned CD wrong. Code 5 indicates cases where IWR thought assigned CD assignment incorrect. 3 1. CD incorrect in Pre due to move (CD not followed) -- error continued in Post 2 2. CD incorrect because misidentified in Pre -- error continued in Post 3. CD information not loaded into Post CAPI application, House candidate questions not administered 2 4. CD incorrect - IWR error; IWR administered House cand names from wrong CD 1 5. CD incorrect -- IWR error; IWR skipped House-related questions 1 7. CD incorrect; R moved and new CD not followed, but interviewer substituted correct names in interview (data not in error) 0. CD correctly identified for R in Post; Washington DC; no post IW ============================== VAR V960130 NUMERIC Summary.5 Was R's Congressional district redistricted in 1996? ----------------------------------------------------------- This variable describes the status of the congressional district of R's 1994 interview (R's 1996 location or move status is not reflected). 1. Panel case - R's 1994 CD was redistricted in 1996 1293 2. Panel case - R's 1994 CD was not redistricted in 1996 23 3. Portions of R's CD redistricted in 1996 but R not affected (R still in same CD in 1996) 0. Inap, 1996 cross-section ============================== VAR V960131 NUMERIC Summary.6 (Panel only) Move status 1994-1996 ----------------------------------------------------------- This variable compares R's 1994 interview location with the location where R was found at the time of the 1996 Pre interview. Note: some congressional districts were redistricted in 1996. In all cases of redistricting (see question Summary 5), no Rs lived in the portions of their Congressional Districts which were affected by the redistricting, and all Rs coded 3 in Summary5 were coded in the same manner as Rs who lived in CDs where no redistricting took place. 123 1. Moved OUT OF 1994 congressional district 189 2. Moved WITHIN 1994 congressional district 4 3. R did not move but has 2 residences and was at different residence in 1996 997 4. R DID NOT MOVE to different location in 1996 9. NA 398 0. Inap, 1996 cross-section ============================== VAR V960131A NUMERIC Summary.7 Move status, 1996 Pre-1996 Post ----------------------------------------------------------- This variable compares R's 1996 Pre interview location with R's 1996 Post interview location but has no bearing on the administration of House-candidate-related Post variables. Post variables are administered according to the state and CD at which R was located during the Pre interview, since in most cases Rs (if registered) have not changed registration since the Pre; moreover, in most cases Rs who moved between the Pre and Post were primarily exposed to the House campaigns of the candidates identified according to Pre state and CD. It was not systematically determined whether a new Post address was in a CD different from Pre CD unless R's new location was a different state. All cases where R was found in a different state in the Post are coded 1. Additionally, for several cases where R moved within state but information was discovered indicating change in CD, code 1 has also been coded. Cases coded 2 indicate that R moved within the same state, but CD status (regarding change of CD) was NA. 7 1. R Moved out of Pre CD 26 2. R Moved, NA if CD changed (R moved within same state) 2 3. R did not move but has 2 residences and was at different residence in Post 1499 4. R did not move between Pre and Post interviews 0. Inap, no post IW ============================== VAR V960201 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? ----------------------------------------------------------- 467 1. Very much interested 848 2. Somewhat interested 399 3. Not much interested 8. DK 9. NA ============================== VAR V960202 NUMERIC A2 Generally speaking, would you say that you personally CARE A GOOD DEAL who wins the presidential election this fall, or that you DON'T CARE VERY MUCH who wins? ----------------------------------------------------------- 1352 1. Care a good deal 360 2. Don't care very much 8. DK 9. NA ============================== VAR V960203 NUMERIC A3 In 1992 George Bush ran on the Republican ticket against Bill Clinton for the Democrats, and Ross Perot as an independent candidate. Do you remember for sure whether or not you voted in that election? ----------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] 1294 1. Yes, voted 409 5. No, didn't vote 8. DK 1 9. NA; RF ============================== VAR V960204 NUMERIC A3a IF R VOTED FOR PRESIDENT IN 1992: Which one did you vote for? ----------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] 481 1. George Bush 581 2. Bill Clinton 205 3. Ross Perot 9 7. Other (specify) [VOL] 8. DK 13 9. NA; RF 420 0. Inap, 5,8,9 in A3 ============================== VAR V960205 NUMERIC A4 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. CLINTON that might make you want to vote FOR him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE]. Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 995 1. Yes 716 5. No 8. DK 2 9. NA; RF ============================== VAR V960206 NUMERIC A4a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A4 ============================== VAR V960207 NUMERIC A4a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR V960208 NUMERIC A4a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR V960209 NUMERIC A4a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR V960210 NUMERIC A4a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A4; 9998,9999 in A4a(1); no further mention ============================== VAR V960211 NUMERIC A5 Is there anything in particular about MR. CLINTON that might make you want to vote AGAINST him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 961 1. Yes 751 5. No 8. DK 2 9. NA; RF ============================== VAR V960212 NUMERIC A5a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A5 ============================== VAR V960213 NUMERIC A5a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR V960214 NUMERIC A5a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR V960215 NUMERIC A5a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR V960216 NUMERIC A5a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST CLINTON: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A5; 9998,9999 in A5a(1); no further mention ============================== VAR V960217 NUMERIC A6 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. DOLE that might make you want to vote FOR him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 736 1. Yes 970 5. No 8. DK 1 9. NA; RF ============================== VAR V960218 NUMERIC A6a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A6 ============================== VAR V960219 NUMERIC A6a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR V960220 NUMERIC A6a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR V960221 NUMERIC A6a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR V960222 NUMERIC A6a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A6; 9998,9999 in A6a(1); no further mention ============================== VAR V960223 NUMERIC A7 Is there anything in particular about MR. DOLE that might make you want to vote AGAINST him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 973 1. Yes 739 5. No 8. DK 1 9. NA; RF ============================== VAR V960224 NUMERIC A7a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A7 ============================== VAR V960225 NUMERIC A7a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR V960226 NUMERIC A7a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR V960227 NUMERIC A7a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR V960228 NUMERIC A7a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST DOLE: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A7; 9998,9999 in A7a(1); no further mention ============================== VAR V960229 NUMERIC A8 (Now I'd like to ask you about the good and bad points of the major candidates for President.) Is there anything in particular about MR. PEROT that might make you want to vote FOR him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Introductory sentence precedes question text only if first candidate. Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 462 1. Yes 1243 5. No 8. DK 2 9. NA; RF ============================== VAR V960230 NUMERIC A8a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A8 ============================== VAR V960231 NUMERIC A8a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR V960232 NUMERIC A8a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR V960233 NUMERIC A8a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR V960234 NUMERIC A8a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE FOR PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A8; 9998,9999 in A8a(1); no further mention ============================== VAR V960235 NUMERIC A9 Is there anything in particular about MR. PEROT that might make you want to vote AGAINST him? ----------------------------------------------------------- [Interviewer note: PROBE "ANYTHING ELSE?" UNTIL R SAYS NONE] Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 900 1. Yes 810 5. No 8. DK 1 9. NA; RF ============================== VAR V960236 NUMERIC A9a(1) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 1] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 5,8,9 in A9 ============================== VAR V960237 NUMERIC A9a(2) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 2] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR V960238 NUMERIC A9a(3) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 3] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR V960239 NUMERIC A9a(4) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 4] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR V960240 NUMERIC A9a(5) IF R SAYS THERE IS SOMETHING THAT WOULD MAKE R VOTE AGAINST PEROT: What is that? (PROBE: Anything else? Until R says "NONE.") [MENTION 5] ----------------------------------------------------------- Order of 3 Presidential candidates randomized in A4-A9a; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,8,9 in A9; 9998,9999 in A9a(1); no further mention ============================== VAR V960241 NUMERIC A10 Do you have either cable or satellite television? ----------------------------------------------------------- 1183 1. Yes 530 5. No 8. DK 1 9. NA; RF ============================== VAR V960242 NUMERIC A11 How many days IN THE PAST WEEK did you watch the national news on TV? ----------------------------------------------------------- 358 0. None 173 1. One day 205 2. Two days 182 3. Three days 103 4. Four days 139 5. Five days 47 6. Six days 505 7. Every day 8. DK 9. NA ============================== VAR V960243 NUMERIC A11a IF R HAS WATCHED NATIONAL NEWS ON TV IN THE PAST WEEK: (Please look at page 1 of the booklet). How much attention did you pay to news on national news shows about the campaign for President-- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 219 1. A great deal 395 2. Quite a bit 491 3. Some 217 4. Very little 31 5. None 8. DK 9. NA 360 0. Inap, 0,8,9 in A11 ============================== VAR V960244 NUMERIC A12 How many days IN THE PAST WEEK did you watch the local TV news, for example, "Eyewitness News" or "Action News"? ----------------------------------------------------------- 250 0. None 107 1. One day 171 2. Two days 201 3. Three days 143 4. Four days 190 5. Five days 82 6. Six days 568 7. Every day 8. DK 9. NA ============================== VAR V960245 NUMERIC A12a IF R HAS WATCHED LOCAL NEWS ON TV IN THE PAST WEEK: (Looking at page 1 of the booklet). How much attention did you pay to news on local news shows about the campaign for President-- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 136 1. A great deal 365 2. Quite a bit 564 3. Some 322 4. Very little 75 5. None 8. DK 9. NA 252 0. Inap, 0,8,9 in A12 ============================== VAR V960246 NUMERIC A13 How many days IN THE PAST WEEK did you read a daily newspaper? ----------------------------------------------------------- 429 0. None 227 1. One day 161 2. Two days 124 3. Three days 102 4. Four days 79 5. Five days 57 6. Six days 535 7. Every day 8. DK 9. NA ============================== VAR V960247 NUMERIC A13a IF R HAS READ A DAILY NEWSPAPER IN THE PAST WEEK: Did you read about the campaign in any newspaper? ----------------------------------------------------------- 745 1. Yes 540 5. No 8. DK 9. NA 429 0. Inap, 0,8,9 in A13 ============================== VAR V960248 NUMERIC A13b IF R HAS READ ABOUT THE CAMPAIGN IN A NEWSPAPER: (Looking at page 1 of the booklet). How much attention did you pay to newspaper articles about the campaign for President--A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 94 1. A great deal 195 2. Quite a bit 334 3. Some 116 4. Very little 6 5. None 8. DK 9. NA 969 0. Inap, 0,8,9 in A13; 5,8,9 in A13a ============================== VAR V960249 NUMERIC A14 Do you recall seeing any ads for the political candidates on television this fall? ----------------------------------------------------------- 1368 1. Yes 345 5. No 8. DK 9. NA ============================== VAR V960250 NUMERIC A14a IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: I'd like you to think for a moment about the one ad you remember best. Do you happen to recall which candidate sponsored that ad? ----------------------------------------------------------- 338 1. No - don't recall 298 2. Clinton 434 3. Dole 70 4. Perot 38 5. Ad was not for/by a specific candidate 140 6. State or local candidate 47 7. Other (specify) 8. DK 9. NA; RF 346 0. Inap, 5,8,9 in A14 ============================== VAR V960251 NUMERIC A14b(1) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 1] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 5,8,9 in A14; 9 in A14a ============================== VAR V960252 NUMERIC A14b(2) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 2] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR V960253 NUMERIC A14b(3) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 3] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR V960254 NUMERIC A14b(4) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV: (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 4] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR V960255 NUMERIC A14b(5) IF R RECALLS SEEING ADS FOR POLITICAL CANDIDATES ON TV : (I'd like you to think for a moment about the one ad you remember best.) Do you remember anything the ad said or showed? (IF NECESSARY: What was that?) [MENTION 5] ----------------------------------------------------------- [Interviewer note: USE 'GIVE EXAMPLE' PROBE] See the POLITICAL ADVERTISEMENTS Master Code. Codes 001-997 and: 000. Inap, 5,8,9 in A14; 998,999 in A14b(1); no further mention ============================== VAR V960256 NUMERIC B1 As you know, representatives to Congress in Washington will be chosen in this election from congressional districts all around the country. How much would you say that you personally care about the way the election to the U.S. House of Representatives comes out: do you care VERY MUCH, PRETTY MUCH, NOT VERY MUCH or NOT AT ALL? ----------------------------------------------------------- 495 1. Very much 624 2. Pretty much 475 3. Not very much 117 4. Not at all 8. DK 9. NA ============================== VAR V960257 NUMERIC B2 Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who are running in the November election from this district? ----------------------------------------------------------- 628 1. Yes 1082 5. No 8. DK 2 9. NA; RF; Inap, Washington DC ============================== VAR V960258 NUMERIC B2a(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] 1ST RECALLED NAME ----------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). 12 31. Democratic candidate in open race 10 32. Republican candidate in open race 139 33. Democratic incumbent 235 34. Republican incumbent 20 35. Democratic challenger 15 36. Republican challenger 196 97. Name not on candidate list 98. DK 99. NA 1086 00. Inap, 5,8,9 in B2 ============================== VAR V960259 NUMERIC B2b(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. 274 1. Democrat 333 2. Republican 7. Other party (specify) 8. DK 4 9. NA 1082 0. Inap, 5,8,9 in B2 ============================== VAR V960260 NUMERIC B2c(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 1ST RECALLED CANDIDATE ----------------------------------------------------------- Built from B2a(1). See note B2a(1). 171 1. Democratic candidate (31,33,35) 260 2. Republican candidate (32,34,36) 196 7. Name given not on candidate list (97) 8. DK name but know party 9. DK name and DK/NA party; NA 1086 0. Inap, 5,8,9 in B2 ============================== VAR V960261 NUMERIC B2x(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 1ST RECALL ACCURACY ----------------------------------------------------------- Built from B2a(1), B2b(1). See notes in B2a(1), B2b(1). 391 1. Valid candidate name given and correct party associated with name 30 2. Valid candidate name given but incorrect party associated with name 11 3. Valid candidate name given, DK or NA for party associated with name 185 4. Invalid candidate name given with any mention of party associated with name 14 5. Invalid candidate name given with DK or NA for party associated with name 1 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party mention; no candidate name given (NA) -- DK for party mention 9. NA for candidate name and NA for party mention 1082 0. Inap, 5,8,9 in B2 ============================== VAR V960262 NUMERIC B2a(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ) 2ND RECALLED NAME ----------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). 7 31. Democratic candidate in open race 7 32. Republican candidate in open race 16 33. Democratic incumbent 26 34. Republican incumbent 70 35. Democratic challenger 35 36. Republican challenger 133 97. Name not on candidate list 98. DK 99. NA 1357 00. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960263 NUMERIC B2b(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF 2ND RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. 212 1. Democrat 133 2. Republican 1 7. Other party (specify) 8. DK 7 9. NA 1353 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960264 NUMERIC B2c(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 2ND RECALLED CANDIDATE ----------------------------------------------------------- Built from B2a(2). See note B2a(2). 93 1. Democratic candidate (31,33,35) 68 2. Republican candidate (32,34,36) 134 7. Name given not on candidate list (97) 8. DK name but know party 2 9. DK name and DK/NA party; NA 1356 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960265 NUMERIC B2x(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 2ND RECALL ACCURACY ----------------------------------------------------------- Built from B2a(2), B2b(2). See notes in B2a(2), B2b(2). 151 1. Valid candidate name given and correct party associated with name 6 2. Valid candidate name given but incorrect party associated with name 6 3. Valid candidate name given, DK or NA for party associated with name 128 4. Invalid candidate name given with any mention of party associated with name 7 5. Invalid candidate name given with DK or NA for party associated with name 61 6. No candidate name given (DK or NA) -- any party mention 2 7. No candidate name given (DK) -- DK or NA for party mention; no candidate name given (NA) -- DK for party mention 9. NA for candidate name and NA for party mention 1353 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960266 NUMERIC B2a(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] 3RD RECALLED NAME ----------------------------------------------------------- Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the candidate code for that correct name has been coded here. For cases where the status of the congressional race was not final at the time the interview was conducted but changed subsequently (codes 1 and 2 in V960127), in none of these 13 cases did R recall the name of a candidate within the congressional district who did not become one of the final candidates (names of persons who were never in the running at any stage of the campaign in R's CD are coded 97). 1 31. Democratic candidate in open race 1 32. Republican candidate in open race 3 33. Democratic incumbent 10 34. Republican incumbent 5 35. Democratic challenger 36. Republican challenger 28 97. Name not on candidate list 98. DK 99. NA 1640 00. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960267 NUMERIC B2b(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF 3RD RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. Note for cases where R's correct congressional district was not identified or was incorrectly identified in the information preloaded into the interview application (codes 1,2,3 in V960129): if R provided a name from his or her correct congressional district, then the party associated with that correct name has been coded here. 46 1. Democrat 28 2. Republican 1 7. Other party (specify) 8. DK 9. NA 1639 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960268 NUMERIC B2c(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] ACTUAL PARTY - 3RD RECALLED CANDIDATE ----------------------------------------------------------- Built from B2a(3). See note B2a(3). 9 1. Democratic candidate (31,33,35) 11 2. Republican candidate (32,34,36) 28 7. Name given not on candidate list (97) 8. DK name but know party 9. DK name and DK/NA party; NA 1639 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960269 NUMERIC B2x(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who are they? [PROBE: Any others?] What is [NAME'S] party? 3RD RECALL ACCURACY ----------------------------------------------------------- Built from B2a(3), B2b(3). See notes in B2a(3), B2b(3). 16 1. Valid candidate name given and correct party associated with name 4 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 28 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 27 6. No candidate name given (DK or NA) -- any party mention 7. No candidate name given (DK) -- DK or NA for party mention; no candidate name given (NA) -- DK for party mention 9. NA for candidate name and NA for party mention 1639 0. Inap, 5,8,9 in B2; 98,99 in B2a(1); no further mention ============================== VAR V960270 NUMERIC B3 Do you APPROVE or DISAPPROVE of the way the U.S. Congress has been handling its job? ----------------------------------------------------------- 770 1. Approve 811 5. Disapprove 8. DK 12 9. NA; RF ============================== VAR V960271 NUMERIC B3a/b IF R APPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: / IF R DISAPPROVES OF THE WAY CONGRESS HAS BEEN HANDLING ITS JOB: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from B3, B3a/b. 213 1. Approve strongly 552 2. Approve not strongly 359 4. Disapprove not strongly 448 5. Disapprove strongly 8. DK 1 9. NA; RF 133 0. Inap, 8,9 in B3 ============================== VAR V960272 NUMERIC D1 (Please look at page 2 of the booklet.) I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 and 50 degrees mean that you don't feel favorable toward the person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particularly warm or cold toward the person. If we come to a person whose name you don't recognize, you dn't need to rate the person. Just tell me and we'll move on to the next one. ----------------------------------------------------------- D1a (Looking at page 2 of the booklet) (How would you rate) BILL CLINTON? CLINTON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960273 NUMERIC D1b (Looking at page 2 of the booklet) (How would you rate) BOB DOLE? DOLE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR V960274 NUMERIC D1c (Looking at page 2 of the booklet) (How would you rate) ROSS PEROT? PEROT THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960275 NUMERIC D1d (Looking at page 2 of the booklet) (How would you rate) AL GORE? GORE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960276 NUMERIC D1e (Looking at page 2 of the booklet) (How would you rate) JACK KEMP? KEMP THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960277 NUMERIC D1f (Looking at page 2 of the booklet) (How would you rate) PAT CHOATE? CHOATE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Pat Choate was chosen as the Reform Party Vice- Presidential candidate on September 10, 1996 and beginning September 11, a thermometer question was administered using his name. However, prior to September 11, a thermometer was was administered for James S. Campbell (V960277a), the name submitted by Perot to satisfy the requirements of candidacy status until a Vice-Presidential candidate was selected. See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 996. Inap, Campbell rating 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960277A NUMERIC D1f (Looking at page 2 of the booklet) (How would you rate) JAMES S. CAMPBELL CAMPBELL THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Pat Choate was chosen as the Reform Party Vice- Presidential candidate on September 10, 1996 and beginning September 11, a thermometer question was administered using his name (V960277). However, prior to September 11, a thermometer was was administered for James S. Campbell, the name submitted by Perot to satisfy the requirements of candidacy status until a Vice-Presidential candidate was selected. See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 996. Inap, Choate rating 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR V960278 NUMERIC D1g (Looking at page 2 of the booklet) (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF; Inap, no Democratic House candidate (House race type 24) or Washington DC ============================== VAR V960279 NUMERIC D1h (Looking at page 2 of the booklet) (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF; Inap, no Republican House candidate (House race type 14) or Washington DC ============================== VAR V960280 NUMERIC D1j (Looking at page 2 of the booklet) (How would you rate) [NAME #41,42]? RETIRING HOUSE INCUMBENT THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; Inap, no retiring House incumbent (type race 12,14,21,24) or Washington DC ============================== VAR V960281 NUMERIC D1k (Looking at page 2 of the booklet) (How would you rate) HILLARY CLINTON? HILLARY CLINTON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960282 NUMERIC D1m (Looking at page 2 of the booklet) (How would you rate) PAT BUCHANAN? BUCHANAN THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960283 NUMERIC D1n (Looking at page 2 of the booklet) (How would you rate) JESSE JACKSON? JACKSON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960284 NUMERIC D1p (Looking at page 2 of the booklet) (How would you rate) NEWT GINGRICH? GINGRICH THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960285 NUMERIC D1q (Looking at page 2 of the booklet) (How would you rate) COLIN POWELL? POWELL THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960286 NUMERIC D1r (Looking at page 2 of the booklet) (How would you rate) STEVE FORBES? FORBES THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960287 NUMERIC D1s (Looking at page 2 of the booklet) (How would you rate) PHIL GRAMM? GRAMM THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960288 NUMERIC D1t (Looking at page 2 of the booklet) (How would you rate) LOUIS FARRAKHAN? FARRAKHAN THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960289 NUMERIC D1u (Looking at page 2 of the booklet) (How would you rate) LAMAR ALEXANDER? ALEXANDER THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960290 NUMERIC D1v (Looking at page 2 of the booklet) (How would you rate) ELIZABETH DOLE? ELIZABETH DOLE THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960291 NUMERIC D1w (Looking at page 2 of the booklet) (How would you rate) PAT ROBERTSON? ROBERTSON THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Order of names D1d-D1w was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960292 NUMERIC D2a (Looking at page 2 of the booklet.) (Still using the thermometer, how would you rate:) The Democratic Party? DEMOCRATIC PARTY THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of major parties D2a-D2b was randomized. See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960293 NUMERIC D2b (Looking at page 2 of the booklet.) (Still using the thermometer, how would you rate:) The Republican Party? REPUBLICAN PARTY THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] Order of major parties D2a-D2b was randomized. See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960294 NUMERIC D2c [RB] (Still using the thermometer, how would you rate:) Political parties in general? POLITICAL PARTIES IN GENERAL - THERMOMETER RATING ----------------------------------------------------------- [Interviewer note: PROBE FOR 'DON'T KNOW' RESPONSE: "When you say 'don't know' do you mean that you don't know who the person is or do you have something else in mind?"] See D1 for full question text. Ratings 0-100 and: 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V960295 NUMERIC E1 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING HIS JOB AS PRESIDENT? ----------------------------------------------------------- 1155 1. Approve 537 5. Disapprove 8. DK 6 9. NA; RF ============================== VAR V960296 NUMERIC E1a/b IF R APPROVES CLINTON'S HANDLING HIS JOB AS PRESIDENT: / IF R DISAPPROVES CLINTON'S HANDLING HIS JOB AS PRESIDENT: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E1,E1a/b. 566 1. Approve strongly 585 2. Approve not strongly 198 4. Disapprove not strongly 338 5. Disapprove strongly 8. DK 1 9. NA; RF 22 0. Inap, 8,9 in E1 ============================== VAR V960297 NUMERIC E2 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING THE ECONOMY? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1102 1. Approve 563 5. Disapprove 8. DK 6 9. NA; RF ============================== VAR V960298 NUMERIC E2a/b IF R APPROVES CLINTON'S HANDLING OF THE ECONOMY: / IF R DISAPPROVES CLINTON'S HANDLING OF THE ECONOMY: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E2, E2a/b. 539 1. Approve strongly 562 2. Approve not strongly 251 4. Disapprove not strongly 311 5. Disapprove strongly 8. DK 1 9. NA; RF 49 0. Inap, 8,9 in E2 ============================== VAR V960299 NUMERIC E3 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1014 1. Approve 647 5. Disapprove 8. DK 5 9. NA; RF ============================== VAR V960300 NUMERIC E3a/b IF R APPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: / IF R DISAPPROVES CLINTON'S HANDLING OF RELATIONS WITH FOREIGN COUNTRIES: a.Do you approve STRONGLY or NOT STRONGLY? b.Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E3, E3a/b. 524 1. Approve strongly 487 2. Approve not strongly 232 4. Disapprove not strongly 414 5. Disapprove strongly 8. DK 2 9. NA; RF 53 0. Inap, 8,9 in E3 ============================== VAR V960301 NUMERIC E4 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING THE ENVIRONMENT? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1161 1. Approve 419 5. Disapprove 8. DK 5 9. NA; RF ============================== VAR V960302 NUMERIC E4a/b IF R APPROVES OF THE WAY CLINTON IS HANDLING THE ENVIRONMENT :/ IF R DISAPPROVES OF THE WAY CLINTON IS HANDLING THE ENVIRONMENT: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E4, E4a/b. 553 1. Approve strongly 607 2. Approve not strongly 225 4. Disapprove not strongly 192 5. Disapprove strongly 8. DK 1 9. NA; RF 134 0. Inap, 8,9 in E4 ============================== VAR V960303 NUMERIC E5 (Not using the booklet) Do you approve or disapprove of the way Bill Clinton is HANDLING HEALTH CARE? ----------------------------------------------------------- Order of presidential performance items E2-E5 randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 884 1. Approve 772 5. Disapprove 8. DK 7 9. NA; RF ============================== VAR V960304 NUMERIC E5a/b IF R APPROVES CLINTON'S HANDLING OF HEALTH CARE / IF R DISAPPROVES CLINTON'S HANDLING OF HEALTH CARE: a. Do you approve STRONGLY or NOT STRONGLY? b. Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from E5, E5a/b. 450 1. Approve strongly 432 2. Approve not strongly 300 4. Disapprove not strongly 472 5. Disapprove strongly 8. DK 9. NA; RF 58 0. Inap, 8,9 in E5 ============================== VAR V960305 NUMERIC E6a (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) PROTECTING THE ENVIRONMENT (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 841 1. Bill Clinton 226 2. Bob Dole 66 3. Ross Perot 544 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 3 9. NA; RF ============================== VAR V960306 NUMERIC E6b (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) REDUCING THE BUDGET DEFICIT (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 510 1. Bill Clinton 431 2. Bob Dole 390 3. Ross Perot 366 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 3 9. NA; RF ============================== VAR V960307 NUMERIC E6c (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) IMPROVING PUBLIC EDUCATION (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 852 1. Bill Clinton 348 2. Bob Dole 108 3. Ross Perot 382 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 2 9. NA; RF ============================== VAR V960308 NUMERIC E6d (Please turn to page 3 of the booklet) (Which presidential candidate do you think would do a better job at) REDUCING THE POWER OF SPECIAL INTERESTS IN POLITICAL CAMPAIGNS (--[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them?) ----------------------------------------------------------- Order of issues E6a-E6d randomized. Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 326 1. Bill Clinton 254 2. Bob Dole 440 3. Ross Perot 653 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 2 9. NA; RF ============================== VAR V960309 NUMERIC E7 (Looking at page 3 of the booklet) Which presidential candidate is more likely to RAISE TAXES --[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them? ----------------------------------------------------------- Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 694 1. Bill Clinton 486 2. Bob Dole 121 3. Ross Perot 386 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 5 9. NA; RF ============================== VAR V960310 NUMERIC E8 (Looking at page 3 of the booklet) Which presidential candidate is more likely to CUT SOCIAL SECURITY BENEFITS --[Bill Clinton, Bob Dole, Ross Perot], or wouldn't there be any difference among them? ----------------------------------------------------------- Order of the 3 names of major presidential candidates was randomized in question text among respondents (order same throughout E6a-E6d,E7,E8 for any individual respondent). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 324 1. Bill Clinton 764 2. Bob Dole 155 3. Ross Perot 428 4. There wouldn't be any difference [DO NOT PROBE] 8. DK 3 9. NA; RF ============================== VAR V960311 NUMERIC E9 Who do you think is more to blame for the federal budget deficit, the CLINTON ADMINISTRATION or the REPUBLICAN CONGRESS? ----------------------------------------------------------- 342 1. Clinton 806 2. Republican Congress 281 3. Both Clinton and Republican Congress [VOL] 39 4. Neither Clinton nor Republican Congress [VOL] 85 5. Inheirited from the past/ developed over many years [VOL] 24 6. Reagan, Reagan/Bush, "Reaganomics" [VOL] 6 7. Past Republicans, "Republicans" [VOL] 15 8. Democratic Congress [VOL] 7 9. Past Democrats, "Democrats" [VOL] 6 10. Reagan/Bush and Democratic Congress [VOL] 7 11. Past administrations, past Congresses (NFS - not further specified) [VOL] 8 97. Other (specify) [VOL] 98. DK 15 99. NA; RF ============================== VAR V960312 NUMERIC E10 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half ot the respondents were randomly selected for administration of questions F1-F4. 880 0. Respondent not randomly selected for F1-F4 questions 834 1. Respondent randomly selected for F1-F4 questions ============================== VAR V960313 NUMERIC F1 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: (I'd like to ask you what you think are the good and bad points about the two NATIONAL PARTIES.) Is there anything in particular that you LIKE about the Republican party? ----------------------------------------------------------- Introductory sentence precedes question text only if first party. Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 363 1. Yes 468 5. No 8. DK 2 9. NA; RF 880 0. Inap, 0 in E10 ============================== VAR V960314 NUMERIC F1a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F1 ============================== VAR V960315 NUMERIC F1a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR V960316 NUMERIC F1a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR V960317 NUMERIC F1a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR V960318 NUMERIC F1a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Republican party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F1; 9998,9999 in F1a(1); no further mention ============================== VAR V960319 NUMERIC F2 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: Is there anything in particular that you DON'T LIKE about the Republican party? ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 429 1. Yes 397 5. No 8. DK 2 9. NA; RF 880 0. Inap, 0 in E10 ============================== VAR V960320 NUMERIC F2a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F2 ============================== VAR V960321 NUMERIC F2a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR V960322 NUMERIC F2a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR V960323 NUMERIC F2a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR V960324 NUMERIC F2a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE REPUBLICAN PARTY: (Is there anything in particular that you DON'T LIKE about the Republican party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Republican party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F2; 9998,9999 in F2a(1); no further mention ============================== VAR V960325 NUMERIC F3 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: (I'd like to ask you what you think are the good and bad points about the two NATIONAL PARTIES.) Is there anything in particular that you LIKE about the Democratic party? ----------------------------------------------------------- Introductory sentence precedes question text only if first party. Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 432 1. Yes 396 5. No 8. DK 9. NA 880 0. Inap, 0 in E10 ============================== VAR V960326 NUMERIC F3a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F3 ============================== VAR V960327 NUMERIC F3a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR V960328 NUMERIC F3a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR V960329 NUMERIC F3a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR V960330 NUMERIC F3a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you like about the Democratic party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F3; 9998,9999 in F3a(1); no further mention ============================== VAR V960331 NUMERIC F4 IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: Is there anything in particular that you DON'T LIKE about the Democratic party? ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 383 1. Yes 443 5. No 8. DK 2 9. NA; RF 880 0. Inap, 0 in E10 ============================== VAR V960332 NUMERIC F4a(1) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 1] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 0 in E10; 5,8,9 in F4 ============================== VAR V960333 NUMERIC F4a(2) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 2] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR V960334 NUMERIC F4a(3) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 3] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR V960335 NUMERIC F4a(4) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 4] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR V960336 NUMERIC F4a(5) IF R SELECTED FOR RANDOM HALF-SAMPLE F1-F4: IF R SAYS THERE IS SOMETHING R DISLIKES ABOUT THE DEMOCRATIC PARTY: (Is there anything in particular that you DON'T LIKE about the Democratic party?) (IF NECESSARY: What is that?) (PROBE: "Anything else you don't like about the Democratic party?" Until R says None.) [MENTION 5] ----------------------------------------------------------- Order of 2 major parties randomized in F1-F4; 'likes' always precede 'dislikes' for each party. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 0 in E10; 5,8,9 in F4; 9998,9999 in F4a(1); no further mention ============================== VAR V960337 NUMERIC F5 We are interested in how people are getting along financially these days. Would you say that you (and your family living here) are BETTER off or WORSE off financially than you were a year ago? ----------------------------------------------------------- 747 1. Better 418 3. Worse 542 5. The same [VOL] 8. DK 2 9. NA; RF ============================== VAR V960338 NUMERIC F5a/b IF R IS BETTER OFF FINANCIALLY THAN A YEAR AGO: / IF R IS WORSE OFF FINANCIALLY THAN A YEAR AGO: a.Is that MUCH better off or SOMEWHAT better off? b.Is that MUCH worse off or SOMEWHAT worse off? ----------------------------------------------------------- Built from F5, F5a/b. 162 1. Much better 584 2. Somewhat better 542 3. Same (5 in F5) 303 4. Somewhat worse 115 5. Much worse 8. DK 1 9. NA; RF 7 0. Inap, 8,9 in F5 ============================== VAR V960339 NUMERIC F6 Now looking ahead, do you think that a year from now you (and your family living here) will be BETTER off financially, WORSE off, or JUST ABOUT THE SAME as now? ----------------------------------------------------------- 606 1. Better 137 3. Worse 944 5. Just about the same [VOL] 8. DK 4 9. NA; RF ============================== VAR V960340 NUMERIC F6a/b IF R THINKS WILL BE BETTER OFF FINANCIALLY A YEAR FROM NOW: / IF R THINKS WILL BE WORSE OFF FINANCIALLY A YEAR FROM NOW: a. Is that MUCH better off or SOMEWHAT better off? b. Is that MUCH worse off or SOMEWHAT worse off? ----------------------------------------------------------- Built from F6, F6a/b. 197 1. Much better 408 2. Somewhat better 944 3. Same (5 in F6) 96 4. Somewhat worse 39 5. Much worse 8. DK 1 9. NA; RF 27 0. Inap, 8,9 in F6 ============================== VAR V960341 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. ----------------------------------------------------------- G1a (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 900 1. Yes 809 5. No 8. DK 1 9. NA; RF ============================== VAR V960342 NUMERIC G1a(1) IF CLINTON HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 180 1. Very often 164 2. Fairly often 388 3. Occasionally 167 4. Rarely 8. DK 1 9. NA; RF 814 0. Inap, 5,8,9 in G1a ============================== VAR V960343 NUMERIC G1b (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1004 1. Yes 706 5. No 8. DK 1 9. NA; RF ============================== VAR V960344 NUMERIC G1b(1) IF CLINTON HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL--) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 138 1. Very often 269 2. Fairly often 469 3. Occasionally 128 4. Rarely 8. DK 9. NA 710 0. Inap, 5,8,9 in G1b ============================== VAR V960345 NUMERIC G1c (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 554 1. Yes 1160 5. No 8. DK 9. NA ============================== VAR V960346 NUMERIC G1c(1) IF CLINTON HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 99 1. Very often 103 2. Fairly often 234 3. Occasionally 118 4. Rarely 8. DK 9. NA 1160 0. Inap, 5,8,9 in G1c ============================== VAR V960347 NUMERIC G1d (Has BILL CLINTON-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 865 1. Yes 846 5. No 8. DK 1 9. NA; RF ============================== VAR V960348 NUMERIC G1d(1) IF CLINTON HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 155 1. Very often 197 2. Fairly often 397 3. Occasionally 114 4. Rarely 8. DK 1 9. NA; RF 849 0. Inap, 5,8,9 in G1d ============================== VAR V960349 NUMERIC G2a (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 592 1. Yes 1118 5. No 8. DK 9. NA ============================== VAR V960350 NUMERIC G2a(1) IF DOLE HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 88 1. Very often 134 2. Fairly often 250 3. Occasionally 119 4. Rarely 8. DK 1 9. NA; RF 1122 0. Inap, 5,8,9 in G2a ============================== VAR V960351 NUMERIC G2b (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 615 1. Yes 1090 5. No 8. DK 3 9. NA; RF ============================== VAR V960352 NUMERIC G2b(1) IF DOLE HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 79 1. Very often 156 2. Fairly often 304 3. Occasionally 75 4. Rarely 8. DK 9. NA 1099 0. Inap, 5,8,9 in G2b ============================== VAR V960353 NUMERIC G2c (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 420 1. Yes 1285 5. No 8. DK 2 9. NA; RF ============================== VAR V960354 NUMERIC G2c(1) IF DOLE HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- 78 1. Very often 94 2. Fairly often 167 3. Occasionally 81 4. Rarely 8. DK 9. NA 1294 0. Inap, 5,8,9 in G2c ============================== VAR V960355 NUMERIC G2d (Has BOB DOLE-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 658 1. Yes 1044 5. No 8. DK 3 9. NA; RF ============================== VAR V960356 NUMERIC G2d(1) IF DOLE HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. 102 1. Very often 159 2. Fairly often 297 3. Occasionally 99 4. Rarely 8. DK 1 9. NA; RF 1056 0. Inap, 5,8,9 in G2d ============================== VAR V960357 NUMERIC G3a (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) ANGRY? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 166 1. Yes 461 5. No 8. DK 2 9. NA; RF 1079 0. Inap, interview conducted after question withdrawn ============================== VAR V960358 NUMERIC G3a(1) IF PEROT HAS MADE R FEEL ANGRY: How often (would you say you've felt ANGRY --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 47 1. Very often 27 2. Fairly often 63 3. Occasionally 29 4. Rarely 8. DK 9. NA 1548 0. Inap, 5,8,9 in G3a; interview conducted after question withdrawn ============================== VAR V960359 NUMERIC G3b (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) HOPEFUL? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 191 1. Yes 436 5. No 8. DK 2 9. NA; RF 1079 0. Inap, interview conducted after question withdrawn ============================== VAR V960360 NUMERIC G3b(1) IF PEROT HAS MADE R FEEL HOPEFUL: How often (would you say you've felt HOPEFUL --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 19 1. Very often 37 2. Fairly often 97 3. Occasionally 38 4. Rarely 8. DK 9. NA 1523 0. Inap, 5,8,9 in G3b; interview conducted after question withdrawn ============================== VAR V960361 NUMERIC G3c (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) AFRAID? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 170 1. Yes 460 5. No 8. DK 1 9. NA; RF 1079 0. Inap, interview conducted after question withdrawn ============================== VAR V960362 NUMERIC G3c(1) IF PEROT HAS MADE R FEEL AFRAID: How often (would you say you've felt AFRAID --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 40 1. Very often 35 2. Fairly often 59 3. Occasionally 36 4. Rarely 8. DK 9. NA 1544 0. Inap, 5,8,9 in G3c; interview conducted after question withdrawn ============================== VAR V960363 NUMERIC G3d (Has ROSS PEROT-- because of the kind of person he is, or because of something he has done -- ever made you feel:) PROUD? ----------------------------------------------------------- Presidential candidates G1-G3 appear in random order; affects are asked in random order for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 141 1. Yes 486 5. No 8. DK 3 9. NA; RF 1079 0. Inap, interview conducted after question withdrawn ============================== VAR V960364 NUMERIC G3d(1) IF PEROT HAS MADE R FEEL PROUD: How often (would you say you've felt PROUD --) (VERY OFTEN, FAIRLY OFTEN, OCCASIONALLY, or RARELY)? ----------------------------------------------------------- Questions G3a-G3d(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 17 1. Very often 13 2. Fairly often 74 3. Occasionally 37 4. Rarely 8. DK 9. NA 1573 0. Inap, 5,8,9 in G3d; interview conducted after question withdrawn ============================== VAR V960365 NUMERIC G4 Please look at page 4 of the booklet. We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. ----------------------------------------------------------- G4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer instruction: DO NOT PROBE "DK"] See G4 for full text. 24 1. Extremely liberal 130 2. Liberal 186 3. Slightly liberal 402 4. Moderate; middle of the road 265 5. Slightly conservative 278 6. Conservative 44 7. Extremely conservative 8. DK 2 9. NA; RF 369 0. Haven't thought much [DO NOT PROBE] ============================== VAR V960366 NUMERIC G4aa IF R SAYS DK, HAVEN'T THOUGHT OR MODERATE FOR SELF-PLACEMENT ON LIBERAL/CONSERVATIVE SCALE: If you had to choose, would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 209 1. Liberal 362 2. Conservative 125 3. Moderate [VOL] 73 7. R refuses to choose [VOL] 8. DK 9. NA 929 0. Inap, 1-3,5-7,9 in G4a ============================== VAR V960367 NUMERIC G4a(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT G4a/G4aa: How certain are you of this? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 559 1. Very certain 765 2. Pretty certain 297 3. Not very certain 8. DK 1 9. NA; RF 91 0. Inap, 9 in G4a; 7,8,9 in G4aa ============================== VAR V960368 NUMERIC G4x SUMMARY- SELF PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- See G4 and G4a/G4aa for full question texts. Built from G4a, G4aa. 549 1. Liberal (1/2/3,0; 0/4/8,1) 153 3. Moderate (0/4/8,3; 4,7/8/9) 949 5. Conservative (5/6/7,0; 0/4/8,2) 48 7. Refused to choose (0/8,7) 8. DK (0/8,8) 2 9. NA/RF to entire question series (9,0) 0. NA to follow up question G4aa (0/8,9) ============================== VAR V960369 NUMERIC G5 [RB] Where would you place Bill Clinton on this scale? CLINTON PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 168 1. Extremely liberal 474 2. Liberal 362 3. Slightly liberal 340 4. Moderate; middle of the road 123 5. Slightly conservative 95 6. Conservative 46 7. Extremely conservative 8. DK 2 9. NA; RF ============================== VAR V960370 NUMERIC G5a IF R HAS PLACED BILL CLINTON ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BILL CLINTON'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN?) ----------------------------------------------------------- 482 1. Very certain 782 2. Pretty certain 341 3. Not very certain 8. DK 1 9. NA; RF 106 0. Inap, 8,9 in G5 ============================== VAR V960371 NUMERIC G6 [RB] Where would you place Bob Dole on this scale? DOLE PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 37 1. Extremely liberal 61 2. Liberal 105 3. Slightly liberal 220 4. Moderate; middle of the road 318 5. Slightly conservative 646 6. Conservative 173 7. Extremely conservative 8. DK 3 9. NA; RF ============================== VAR V960372 NUMERIC G6a IF R HAS PLACED BOB DOLE ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of BOB DOLE'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 399 1. Very certain 738 2. Pretty certain 422 3. Not very certain 8. DK 1 9. NA; RF 154 0. Inap, 8,9 in G6 ============================== VAR V960373 NUMERIC G7 [RB] Where would you place Ross Perot on this scale? PEROT PLACEMENT ON 7-PT LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Presidential candidate names G5-G7 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 100 1. Extremely liberal 126 2. Liberal 125 3. Slightly liberal 328 4. Moderate; middle of the road 239 5. Slightly conservative 280 6. Conservative 183 7. Extremely conservative 8. DK 4 9. NA; RF ============================== VAR V960374 NUMERIC G7a IF R HAS PLACED ROSS PEROT ON LIBERAL-CONSERVATIVE SCALE: How certain are you (of ROSS PEROT'S position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 235 1. Very certain 587 2. Pretty certain 558 3. Not very certain 8. DK 1 9. NA; RF 333 0. Inap, 8,9 in G7 ============================== VAR V960375 NUMERIC G8 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT G4/G4a: [RB] Where would you place [NAME #31,33,35] on this scale? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. House candidate names G8-G9 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 38 1. Extremely liberal 131 2. Liberal 176 3. Slightly liberal 185 4. Moderate; middle of the road 92 5. Slightly conservative 46 6. Conservative 15 7. Extremely conservative 8. DK 21 9. NA 115 0. Inap, no Democratic House candidate (race type 24); 0,7,8,9 in G4x; Washington DC ============================== VAR V960376 NUMERIC G8a IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED DEMOCRATIC HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you (of [NAME #31,33,35]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 147 1. Very certain 295 2. Pretty certain 241 3. Not very certain 8. DK 9. NA 1031 0. Inap, 8,9 in G8; 0,7,8,9 in G4x; no Democratic House candidate (race type 24); Washington DC ============================== VAR V960377 NUMERIC G9 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #32,34,36] on this scale? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. House candidate names G8-G9 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 10 1. Extremely liberal 25 2. Liberal 59 3. Slightly liberal 201 4. Moderate; middle of the road 214 5. Slightly conservative 187 6. Conservative 52 7. Extremely conservative 8. DK 24 9. NA; RF 80 0. Inap, no Republican House candidate (race type 14); 0,7,8,9 in G4x; Washington DC ============================== VAR V960378 NUMERIC G9a IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE : IF R HAS PLACED REPUBLICAN HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE : How certain are you (of [NAME #32,34,36]'s position on this scale?) (VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN?) ----------------------------------------------------------- 141 1. Very certain 323 2. Pretty certain 283 3. Not very certain 8. DK 1 9. NA; RF 966 0. Inap, 8,9 in G9; 07,8,9 in G4x; no Republican House candidate (race type 14); Washington DC ============================== VAR V960379 NUMERIC G10 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place the Democratic Party on this scale? DEMOCRATIC PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See G4 for full text. Major parties G10-G11 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 128 1. Extremely liberal 476 2. Liberal 403 3. Slightly liberal 286 4. Moderate; middle of the road 146 5. Slightly conservative 93 6. Conservative 39 7. Extremely conservative 8. DK 9. NA; RF 63 0. Inap, 0,7,8,9 in G4x ============================== VAR V960380 NUMERIC G11 IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place the Republican Party on this scale? REPUBLICAN PARTY PLACEMENT ON LIBERAL-CONSERVATIVE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"]. See G4 for full text. Major parties G10-G11 are asked in random order. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 35 1. Extremely liberal 67 2. Liberal 102 3. Slightly liberal 221 4. Moderate; middle of the road 364 5. Slightly conservative 618 6. Conservative 153 7. Extremely conservative 8. DK 9. NA; RF 63 0. Inap, 0,7,8,9 in G4x ============================== VAR V960381 NUMERIC G12 Who do you think will be elected President in November? ----------------------------------------------------------- 1490 1. Bill Clinton 165 2. Bob Dole 11 3. Ross Perot 11 7. Other (specify) [VOL] 8. DK 4 9. NA; RF ============================== VAR V960382 NUMERIC G12a/b IF R NAMES CANDIDATE R THINKS WILL WIN THE PRESIDENTIAL ELECTION: / IF R SAYS DON'T KNOW WHO WILL WIN PRESIDENTIAL ELECTION: a. Do you think the Presidential race will be close or will [NAME GIVEN] win by quite a bit? b. Do you think the Presidential race will be close or will one candidate win by quite a bit? ----------------------------------------------------------- 881 1. Will be close 804 2. Win by quite a bit 8. DK 9. NA 4 0. Inap, 9 in G12 ============================== VAR V960383 NUMERIC G12c What about here in (STATE)? Which candidate for President do you think will carry this state? [IF NECESSARY: Which candidate will WIN in this state?] ----------------------------------------------------------- 1076 1. Bill Clinton 516 3. Bob Dole 20 5. Ross Perot 16 7. Other (specify) [VOL] 8. DK 4 9. NA; RF ============================== VAR V960384 NUMERIC G12d/e IF R NAMES CANDIDATE R THINKS WILL WIN THE PRESIDENTIAL ELECTION IN R's STATE: / IF R SAYS DON'T KNOW WHO WILL WIN PRESIDENTIAL ELECTION IN R's STATE: d. Do you think the Presidential race will be close here in (STATE) or will (NAME) win by quite a bit? e. Do you think the Presidential race will be close here in (STATE) or will one candidate win by quite a bit? ----------------------------------------------------------- 1024 1. Close race 647 3. Win by quite a bit 8. DK 9. NA; RF 4 0. Inap, 9 in G12c ============================== VAR V960385 NUMERIC H1 Now thinking about the economy in the country as a whole, would you say that over the past year the nation's economy has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? ----------------------------------------------------------- 670 1. Gotten better 746 3. Stayed about the same 282 5. Gotten worse 8. DK 9. NA ============================== VAR V960386 NUMERIC H1a/b IF R SAYS ECONOMY HAS GOTTEN BETTER: / IF R SAYS ECONOMY HAS GOTTEN WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- Built from H1, H1a/b. 114 1. Much better 555 2. Somewhat better 746 3. Same (3 in H1) 212 4. Somewhat worse 70 5. Much worse 8. DK 9. NA 16 0. Inap, 8,9 in H1 ============================== VAR V960387 NUMERIC H2 What about the next 12 months? Do you expect the economy to GET BETTER, GET WORSE or STAY ABOUT THE SAME? ----------------------------------------------------------- 421 1. Get better 224 3. Get worse 1041 5. Stay about the same 8. DK 1 9. NA; RF ============================== VAR V960388 NUMERIC H2a/b IF R SAYS ECONOMY WILL GET BETTER: / IF R SAYS ECONOMY WILL GET WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- Built from H2, H2a/b. 64 1. Much better 356 2. Somewhat better 1041 3. Same (5 in H2) 180 4. Somewhat worse 42 5. Much worse 8. DK 9. NA 28 0. Inap, 8,9 in H2 ============================== VAR V960389 NUMERIC H3 Do you think that twenty years from now, the standard of living for the people who are just children now will be BETTER, ABOUT THE SAME, or WORSE than it is today? ----------------------------------------------------------- 466 1. Better 347 3. About the same 844 5. Worse 8. DK 4 9. NA; RF ============================== VAR V960390 NUMERIC H3.1 Over the past year would you say that the economic policies of the federal government have made the nation's economy BETTER, WORSE, or HAVEN'T THEY MADE MUCH DIFFERENCE either way? ----------------------------------------------------------- 404 1. Better 291 3. Worse 979 5. They haven't made much difference 8. DK 2 9. NA; RF ============================== VAR V960391 NUMERIC H3.1a/b IF R SAYS POLICIES HAVE MADE ECONOMY BETTER: / IF R SAYS POLICIES HAVE MADE ECONOMY WORSE: a. Would you say MUCH better or SOMEWHAT better? b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- Built from H3.1, H3.1a/b. 43 1. Much better 361 2. Somewhat better 979 3. Same (5 in H3.1) 213 4. Somewhat worse 77 5. Much worse 8. DK 9. NA 40 0. Inap, 8,9 in H3.1 ============================== VAR V960392 NUMERIC H3.2 Would you say that the size of the yearly budget deficit INCREASED, DECREASED, or STAYED ABOUT THE SAME during Clinton's time as President? ----------------------------------------------------------- 721 1. Increased 486 2. Decreased 439 3. Stayed about the same 8. DK 2 9. NA; RF ============================== VAR V960393 NUMERIC H3.2a/b IF R SAYS SIZE OF DEFICIT HAS INCREASED: / IF R SAYS SIZE OF DEFICIT HAS DECREASED: a. Would you say it increased A LOT or A LITTLE? b. Would you say it decreased A LOT or A LITTLE? ----------------------------------------------------------- Built from H3.2, H3.2a/b. 303 1. Increased a lot 404 2. Increased a little 439 3. Same (3 in H3.2) 365 4. Decreased a little 117 5. Decreased a lot 8. DK 9. NA 68 0. Inap, 8,9 in H3.2 ============================== VAR V960394 NUMERIC H3.3 Would you say that the federal income tax paid by the average working person has INCREASED, DECREASED, or STAYED ABOUT THE SAME during Clinton's time as President? ----------------------------------------------------------- 820 1. Increased 81 2. Decreased 774 3. Stayed about the same 8. DK 3 9. NA; RF ============================== VAR V960395 NUMERIC H3.3a/b IF R SAYS INCOME TAX HAS INCREASED: / IF R SAYS INCOME TAX HAS DECREASED: a. Would you say it increased A LOT or A LITTLE? b. Would you say it decreased A LOT or A LITTLE? ----------------------------------------------------------- Built from H3.3, H3.3a/b. 229 1. Increased a lot 584 2. Increased a little 774 3. Same (3 in H3.3) 73 4. Decreased a little 8 5. Decreased a lot 8. DK 1 9. NA; RF 39 0. Inap, 8,9 in H3.3 ============================== VAR V960396 NUMERIC H4 H4. HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half of the respondents were randomly chosen for administration of questions H4a-H8 848 0. Respondent was not randomly selected for questions H4a-H8 866 1. Respondent was randomly selected for questions H4a-H8 ============================== VAR V960397 NUMERIC H4a IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE NATION'S ECONOMY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 276 1. Democrats 262 2. Republicans 317 3. Wouldn't be much difference between them/ No 8. DK 1 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960398 NUMERIC H4b IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING FOREIGN AFFAIRS ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 235 1. Democrats 308 2. Republicans 309 3. Wouldn't be much difference between them/ No 8. DK 1 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960399 NUMERIC H4c IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) MAKING HEALTH CARE MORE AFFORDABLE ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 440 1. Democrats 145 2. Republicans 270 3. Wouldn't be much difference between them/ No 8. DK 1 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960400 NUMERIC H4d IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) REFORMING THE WELFARE SYSTEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 338 1. Democrats 302 2. Republicans 217 3. Wouldn't be much difference between them/ No 8. DK 2 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960401 NUMERIC H4e IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE PROBLEM OF POVERTY ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 402 1. Democrats 157 2. Republicans 293 3. Wouldn't be much difference between them/ No 8. DK 2 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960402 NUMERIC H4f IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE BUDGET DEFICIT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 234 1. Democrats 281 2. Republicans 339 3. Wouldn't be much difference between them/ No 8. DK 2 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960403 NUMERIC H4g IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) HANDLING THE PROBLEM OF POLLUTION AND THE ENVIRONMENT ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 379 1. Democrats 104 2. Republicans 366 3. Wouldn't be much difference between them/ No 8. DK 2 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960404 NUMERIC H4h IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: (Which do you think would do a better job of) DEALING WITH THE CRIME PROBLEM ([the Democrats, the Republicans] or wouldn't there be any difference between them)? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of performance items H4a-H4h randomized. Order of the names of parties in question text was randomized in first item of series H4a-H4h (full text used optionally after first item; if full text used after first item, same order of parties was read as for first item of series). Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 222 1. Democrats 246 2. Republicans 387 3. Wouldn't be much difference between them/ No 8. DK 1 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960405 NUMERIC H5 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to CUT SOCIAL SECURITY BENEFITS (the Democrats, the Republicans), or wouldn't there be much difference between them? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H5. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 93 1. Democrat 425 2. Republican 337 3. Wouldn't be much difference between them/ No 8. DK 1 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960406 NUMERIC H6 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to IMPROVE RACE RELATIONS, (the Democrats, the Republicans), or wouldn't there be much difference between them? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H6. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 314 1. Democrat 67 2. Republican 471 3. Wouldn't be much difference between them/ No 8. DK 2 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960407 NUMERIC H7 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Which party is more likely to RAISE TAXES, (the Democrats, the Republicans), or wouldn't there be much difference between them? ----------------------------------------------------------- [Interviewer: IF 'NO DIFFERENCE' AND 'NEITHER PARTY' ARE VOLUNTEERED, DO NOT PROBE RESPONSES] Order of names of parties in question text was randomized in H7. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 295 1. Democrat 255 2. Republican 308 3. Wouldn't be much difference between them/ No 8. DK 2 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960408 NUMERIC H8 IF R SELECTED FOR RANDOM HALF-SAMPLE H4-H8: Looking ahead, do you think the problem of KEEPING OUT OF WAR would be handled better in the next four years by (the Democrats, the Republicans), or about the same by both? ----------------------------------------------------------- Order of names of parties in question text was randomized in H8. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 105 1. Democrats 164 2. Republicans 587 3. About the same by both 8. DK 1 9. NA; RF 848 0. Inap, 0 in H4 ============================== VAR V960409 NUMERIC H9 During the past year, would you say that the United States' position in the world has grown WEAKER, STAYED ABOUT THE SAME, or has it grown STRONGER? ----------------------------------------------------------- 533 1. Weaker 770 2. Stayed about the same 395 3. Stronger 8. DK 1 9. NA; RF ============================== VAR V960410 NUMERIC H10 Do you AGREE or DISAGREE with this statement: 'This country would be better off if we just stayed home and did not concern ourselves with problems in other parts of the world?' ----------------------------------------------------------- 445 1. Agree 1241 5. Disagree 8. DK 6 9. NA; RF ============================== VAR V960411 NUMERIC H11 In the future, how willing should the United States be to use military force to solve international problems -- EXTREMELY WILLING, VERY WILLING, SOMEWHAT WILLING, NOT VERY WILLING, or NEVER WILLING? ----------------------------------------------------------- 104 1. Extremely willing 286 2. Very willing 1002 3. Somewhat willing 247 4. Not very willing 55 5. Never willing 8. DK 3 9. NA; RF ============================== VAR V960412 NUMERIC H12 A law has been proposed that would limit the members of Congress to no more than 12 consecutive years of service in that office. Do you favor or oppose such a law? ----------------------------------------------------------- 1332 1. Favor 324 2. Oppose 35 7. Other (specify) [VOL] 8. DK 1 9. NA; RF ============================== VAR V960413 NUMERIC H13a IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates ([NAME #31, 33, 35] or [NAME #32, 34, 36]) is currently in the House of Representatives? (IF NEEDED: which one is that?) ----------------------------------------------------------- Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 425 1. Yes, Democratic candidate is 542 2. Yes, Republican candidate is 36 3. Both candidates are [VOL] 226 5. No, neither of them is 8. DK 24 9. NA; RF 70 0. Inap, only one major party House candidate (type race 14 or 24) or Washington DC ============================== VAR V960414 NUMERIC H13a(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2-CANDIDATE RACE) ----------------------------------------------------------- Built from H13a. 15 31. Democratic candidate in open race 13 32. Republican candidate in open race 392 33. Democratic incumbent 518 34. Republican incumbent 18 35. Democratic challenger 11 36. Republican challenger 36 90. Both 00. Inap, 0,5,8,9 in H13a ============================== VAR V960415 NUMERIC H13b IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if (NAME #31, 33, 32, 34) is currently in the House of Representatives? ----------------------------------------------------------- 46 1. Yes, candidate is 6 5. No, candidate is not 8. DK 9. NA 1645 0. Inap, two major party House candidates in race (type race 12, 21, 55 or 65) or Washington DC ============================== VAR V960416 NUMERIC H13b(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (UNOPPOSED RACE) ----------------------------------------------------------- Built from H13b. 31. Democratic candidate in open race 32. Republican candidate in open race 13 33. Democratic incumbent 33 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 00. Inap, 0,5,8,9 in H13b ============================== VAR V960417 NUMERIC K1 Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what? ----------------------------------------------------------- 663 1. Democrat 471 2. Republican 446 3. Independent 5 4. Other party 125 5. No preference 8. DK 3 9. NA; RF ============================== VAR V960418 NUMERIC K1a/b IF R CONSIDERS SELF REPUBLICAN / IF R CONSIDERS SELF DEMOCRAT: a. Would you call yourself a strong Republican or a not very strong Republican? b. Would you call yourself a strong Democrat or a not very strong Democrat? ----------------------------------------------------------- 543 1. Strong 590 5. Not very strong 8. DK 9. NA; RF 580 0. Inap, 3,4,5,8,9 in K1 ============================== VAR V960419 NUMERIC K1c IF R CONSIDERS SELF INDEPENDENT, NO PREFERENCE, OTHER: Do you think of yourself as closer to the Republican Party or to the Democratic Party? ----------------------------------------------------------- 183 1. Closer to Republican 157 3. Neither 233 5. Closer to Democratic 8. DK 2 9. NA; RF 1138 0. Inap, 1,2,8,9 in K1 ============================== VAR V960420 NUMERIC K1x SUMMARY - R PARTY ID ----------------------------------------------------------- See K1, K1a/b, K1c for full question texts. Built from K1, K1a/b, K1c Code 8 (apolitical) was used only if the respondent had a code of 5 (no preference) in K1 and a code of 3,8 or 9 in K1c and also showed little or no interest in politics in response to the following questions: A1 (pre), B1 (pre), N2 (pre), E9 (post). 329 0. Strong Democrat (1,1,0 in K1, K1a/b, K1c) 334 1. Weak Democrat (1,5/8/9,0 in K1, K1a/b, K1c) 233 2. Independent-Democrat (3/4/5,0,5 in K1, K1a/b, K1c 145 3. Independent-Independent (3,0,3/8/9 in K1, K1a/b, K1c; 5,0,3/8/9 if not apolitical) 183 4. Independent-Republican (3/4/5,0,1 in K1, K1a/b, K1c) 257 5. Weak Republican (2,5/8/9,0 in K1, K1a/b, K1c) 214 6. Strong Republican (2,1,0 in K1, K1a/b, K1c) 1 7. Other; minor party; refuses to say (4,0,3/8/9 in K1, K1a/b, K1c) 8. Apolitical (5,0,3/8/9 in K1, K1a/b, K1c and no interest in politics 4 9. NA (8/9,0,0 in K1, K1a/b, K1c) ============================== VAR V960421 NUMERIC K2 Please look at page 5 of the booklet. I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate I name. ----------------------------------------------------------- K2a (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INTELLIGENT? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 656 1. Extremely well 847 2. Quite well 160 3. Not too well 38 4. Not well at all 8. DK 3 9. NA; RF ============================== VAR V960422 NUMERIC K2b (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) COMPASSIONATE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 334 1. Extremely well 829 2. Quite well 373 3. Not too well 143 4. Not well at all 8. DK 4 9. NA; RF ============================== VAR V960423 NUMERIC K2c (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 103 1. Extremely well 555 2. Quite well 586 3. Not too well 433 4. Not well at all 8. DK 5 9. NA; RF ============================== VAR V960424 NUMERIC K2c(1) IF R GIVES OPINION ABOUT CLINTON AS 'MORAL': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 546 1. Very certain 797 2. Pretty certain 333 3. Not very certain 8. DK 1 9. NA; RF 37 0. Inap, 8,9 in K2c ============================== VAR V960425 NUMERIC K2d (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 217 1. Extremely well 675 2. Quite well 548 3. Not too well 250 4. Not well at all 8. DK 3 9. NA; RF ============================== VAR V960426 NUMERIC K2e (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 249 1. Extremely well 770 2. Quite well 486 3. Not too well 192 4. Not well at all 8. DK 2 9. NA; RF ============================== VAR V960427 NUMERIC K2f (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE YOU? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 250 1. Extremely well 727 2. Quite well 456 3. Not too well 257 4. Not well at all 8. DK 1 9. NA; RF ============================== VAR V960428 NUMERIC K2g (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 501 1. Extremely well 922 2. Quite well 220 3. Not too well 57 4. Not well at all 8. DK 2 9. NA; RF ============================== VAR V960429 NUMERIC K2h (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 130 1. Extremely well 591 2. Quite well 567 3. Not too well 395 4. Not well at all 8. DK 2 9. NA; RF ============================== VAR V960430 NUMERIC K2j (Think about BILL CLINTON. In your opinion does the phrase "(he [is]) ......." describe Bill Clinton extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Bill Clinton extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Clinton. Order of Clinton traits K2a-K2j randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 159 1. Extremely well 826 2. Quite well 580 3. Not too well 130 4. Not well at all 8. DK 3 9. NA; RF ============================== VAR V960431 NUMERIC K2j(1) IF R GIVES OPINION WHETHER CLINTON 'GETS THINGS DONE': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 462 1. Very certain 957 2. Pretty certain 273 3. Not very certain 8. DK 1 9. NA; RF 19 0. Inap, 8,9 in K2j ============================== VAR V960432 NUMERIC K3a (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 383 1. Extremely well 887 2. Quite well 294 3. Not too well 54 4. Not well at all 8. DK 5 9. NA; RF ============================== VAR V960433 NUMERIC K3a(1) IF R GIVES OPINION ABOUT DOLE AS 'MORAL': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 446 1. Very certain 831 2. Pretty certain 339 3. Not very certain 8. DK 1 9. NA; RF 96 0. Inap, 8,9 in K3a ============================== VAR V960434 NUMERIC K3b (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 117 1. Extremely well 490 2. Quite well 778 3. Not too well 263 4. Not well at all 8. DK 5 9. NA; RF ============================== VAR V960435 NUMERIC K3c (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 205 1. Extremely well 769 2. Quite well 542 3. Not too well 108 4. Not well at all 8. DK 5 9. NA ============================== VAR V960436 NUMERIC K3d (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE R? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 114 1. Extremely well 577 2. Quite well 684 3. Not too well 253 4. Not well at all 8. DK 3 9. NA; RF ============================== VAR V960437 NUMERIC K3e (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 349 1. Extremely well 1034 2. Quite well 236 3. Not too well 33 4. Not well at all 8. DK 4 9. NA; RF ============================== VAR V960438 NUMERIC K3f (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 289 1. Extremely well 827 2. Quite well 406 3. Not too well 89 4. Not well at all 8. DK 3 9. NA; RF ============================== VAR V960439 NUMERIC K3g (Think about BOB DOLE. In your opinion does the phrase "(he [is]) ......." describe Bob Dole extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Bob Dole extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Dole. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 149 1. Extremely well 869 2. Quite well 482 3. Not too well 84 4. Not well at all 8. DK 5 9. NA; RF ============================== VAR V960440 NUMERIC K3g(1) IF R GIVES OPINION WHETHER DOLE 'GETS THINGS DONE': How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 366 1. Very certain 828 2. Pretty certain 388 3. Not very certain 8. DK 1 9. NA; RF 130 0. Inap, 8,9 in K3g ============================== VAR V960441 NUMERIC K4a (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) MORAL? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions K4a-K4a(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 53 1. Extremely well 309 2. Quite well 146 3. Not too well 38 4. Not well at all 8. DK 5 9. NA; RF 1079 0. Inap, question removed from the field ============================== VAR V960442 NUMERIC K4a(1) IF R GIVES OPINION ABOUT PEROT AS 'MORAL': (How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Questions K4a-K4a(1) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 107 1. Very certain 246 2. Pretty certain 193 3. Not very certain 8. DK 9. NA; RF 1168 0. Inap, 8,9 in K4a; question removed from the field ============================== VAR V960443 NUMERIC K4b (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) INSPIRING? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question K4b was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 45 1. Extremely well 155 2. Quite well 264 3. Not too well 131 4. Not well at all 8. DK 5 9. NA; RF 1079 0. Inap, question removed from the field ============================== VAR V960444 NUMERIC K4c (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) PROVIDES STRONG LEADERSHIP? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 138 1. Extremely well 462 2. Quite well 695 3. Not too well 287 4. Not well at all 8. DK 8 9. NA; RF ============================== VAR V960445 NUMERIC K4d (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) REALLY CARES ABOUT PEOPLE LIKE R? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 97 1. Extremely well 502 2. Quite well 635 3. Not too well 341 4. Not well at all 8. DK 8 9. NA; RF ============================== VAR V960446 NUMERIC K4e (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) KNOWLEDGEABLE? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 310 1. Extremely well 809 2. Quite well 375 3. Not too well 112 4. Not well at all 8. DK 5 9. NA; RF ============================== VAR V960447 NUMERIC K4f (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) HONEST? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 150 1. Extremely well 738 2. Quite well 478 3. Not too well 158 4. Not well at all 8. DK 6 9. NA; RF ============================== VAR V960448 NUMERIC K4g (Think about Ross Perot. In your opinion does the phrase "(he [is]) ......." describe Ross Perot extremely well, quite well, not too well, or not well at all?) (Looking at page 5 of the booklet) (How about) GETS THINGS DONE? (Does .... describe Ross Perot extremely well, quite well, not too well, or not well at all?) ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See K2 for full text. Beginning 2 sentences used only if trait is first trait applied to Perot. Set of traits for Dole (K3a-K3g) or Perot (K4a-K4g) may be asked second or third after set of Clinton traits, which is always asked first. Order of traits for second presidential candidate randomized; order of traits for third candidate same as order for second candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 222 1. Extremely well 599 2. Quite well 512 3. Not too well 195 4. Not well at all 8. DK 9 9. NA; RF ============================== VAR V960449 NUMERIC K4g(1) IF R GIVES OPINION WHETHER PEROT 'GETS THINGS DONE': (How certain are you about this?) VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 410 1. Very certain 761 2. Pretty certain 355 3. Not very certain 8. DK 2 9. NA; RF 186 0. Inap, 8,9 in K4g ============================== VAR V960450 NUMERIC L1 Please look at page 6 of the booklet. Some people think the government should provide fewer services even in areas such as health and eduation in order to reduce spending. Suppose these people are at one end of a scale, at point 1. Other people feel it is important for the government to provide many more services even if it means an increase in spending. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ----------------------------------------------------------- L1a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON SERVICES/SPENDING SCALE. ----------------------------------------------------------- See L1 for full text. 95 1. Government should provide many fewer services; reduce spending a lot 180 2. 272 3. 460 4. 244 5. 130 6. 85 7. Government should provide many more services; increase spending a lot 8. DK 3 9. NA; RF 239 0. Haven't thought much about it ============================== VAR V960451 NUMERIC L1a(1) IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: How certain are YOU of your position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 693 1. Very certain 662 2. Pretty certain 108 3. Not very certain 8. DK 2 9. NA; RF 248 0. Inap, 0,8,9 in L1a ============================== VAR V960452 NUMERIC L1a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 440 1. Extremely important 676 2. Very important 482 3. Somewhat important 80 4. Not too important 29 5. Not important at all 8. DK 9. NA 3 0. Inap, 9 in L1a ============================== VAR V960453 NUMERIC L1b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 44 1. Government should provide many fewer services; reduce spending a lot 47 2. 156 3. 325 4. 471 5. 401 6. 203 7. Government should provide many more services; increase spending a lot 8. DK 3 9. NA; RF ============================== VAR V960454 NUMERIC L1b(1) IF R PLACES CLINTON ON 7-PT SERVICES/SPENDING SCALE: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 429 1. Very certain 859 2. Pretty certain 357 3. Not very certain 8. DK 1 9. NA; RF 67 0. Inap, 8,9 in L1b ============================== VAR V960455 NUMERIC L1c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 157 1. Government should provide many fewer services; reduce spending a lot 368 2. 454 3. 346 4. 165 5. 61 6. 13 7. Government should provide many more services; increase spending a lot 8. DK 3 9. NA; RF ============================== VAR V960456 NUMERIC L1c(1) IF R PLACES DOLE ON 7-PT SERVICES/SPENDING SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 320 1. Very certain 798 2. Pretty certain 444 3. Not very certain 8. DK 1 9. NA; RF 150 0. Inap, 8,9 in L1c ============================== VAR V960457 NUMERIC L1d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of Presidential candidates L1b-L1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 247 1. Government should provide many fewer services; reduce spending a lot 342 2. 318 3. 291 4. 111 5. 45 6. 25 7. Government should provide many more services; increase spending a lot 8. DK 6 9. NA; RF ============================== VAR V960458 NUMERIC L1d(1) IF R PLACES PEROT ON 7-PT SERVICES/SPENDING SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 244 1. Very certain 629 2. Pretty certain 505 3. Not very certain 8. DK 1 9. NA; RF 335 0. Inap, 8,9 in L1d ============================== VAR V960459 NUMERIC L1e IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of House candidates L1e-L1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 6 1. Government should provide many fewer services; reduce spending a lot 16 2. 54 3. 177 4. 163 5. 101 6. 39 7. Government should provide many more services; increase spending a lot 8. DK 14 9. NA; RF 833 0. Inap, 0,8,9 in L1a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC ============================== VAR V960460 NUMERIC L1f IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON SERVICES/SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of House candidates L1e-L1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 38 1. Government should provide many fewer services; reduce spending a lot 115 2. 157 3. 192 4. 77 5. 20 6. 4 7. Government should provide many more services; increase spending a lot 8. DK 9 9. NA; RF 724 0. Inap, 0,8,9 in L1a; R didn't recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC ============================== VAR V960461 NUMERIC L1g IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY on this scale? DEMOCRATIC PARTY PLACEMENT ON SERVICES/SPENDING SCALE. ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of major parties L1g-L1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 21 1. Government should provide many fewer services; reduce spending a lot 42 2. 95 3. 259 4. 430 5. 375 6. 186 7. Government should provide many more services; increase spending a lot 8. DK 1 9. NA; RF 248 0. Inap, 0,8,9 in L1a ============================== VAR V960462 NUMERIC L1h IF R PLACES SELF ON 7-PT SERVICES/SPENDING SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY on this scale? REPUBLICAN PARTY PLACEMENT ON SERVICES/SPENDING SCALE. ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L1 for full text. Order of major parties L1g-L1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 156 1. Government should provide many fewer services; reduce spending a lot 364 2. 408 3. 242 4. 162 5. 60 6. 11 7. Government should provide many more services; increase spending a lot 8. DK 2 9. NA; RF 248 0. Inap, 0,8,9 in L1a ============================== VAR V960463 NUMERIC L2 Please look at page 7 of the booklet. Some people believe that we should spend much less money for defense. Suppose these people are at one end of a scale, at point 1. Others feel that defense spending should be greatly increased. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2,3,4,5, or 6. ----------------------------------------------------------- L2a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- See L2 for full text. 72 1. Greatly decrease defense spending 148 2. 251 3. 492 4. 310 5. 139 6. 69 7. Greatly increase defense spending 8. DK 3 9. NA; RF 226 0. Haven't thought much about it ============================== VAR V960464 NUMERIC L2a(1) IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 718 1. Very certain 643 2. Pretty certain 119 3. Not very certain 8. DK 1 9. NA; RF 233 0. Inap, 0,8,9 in L2a ============================== VAR V960465 NUMERIC L2a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 309 1. Extremely imporant 633 2. Very important 615 3. Somewhat important 120 4. Not too important 27 5. Not important 8. DK 9. NA; RF 3 0. Inap, 9 in L2a ============================== VAR V960466 NUMERIC L2b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 83 1. Greatly decrease defense spending 180 2. 345 3. 426 4. 299 5. 177 6. 72 7. Greatly increase defense spending 8. DK 2 9. NA; RF ============================== VAR V960467 NUMERIC L2b(1) IF R PLACES CLINTON ON 7-PT DEFENSE SPENDING SCALE: How certain are you of BILL CLINTON's position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 333 1. Very certain 809 2. Pretty certain 438 3. Not very certain 8. DK 1 9. NA; RF 132 0. Inap, 8,9 in L2b ============================== VAR V960468 NUMERIC L2b(2) IF R PLACES CLINTON ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 243 1. Extremely important 580 2. Very important 576 3. Somewhat important 134 4. Not too important 25 5. Not important 8. DK 1 9. NA; RF 132 0. Inap, 8,9 in L2b ============================== VAR V960469 NUMERIC L2c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 34 1. Greatly decrease defense spending 62 2. 159 3. 319 4. 525 5. 311 6. 68 7. Greatly increase defense spending 8. DK 2 9. NA; RF ============================== VAR V960470 NUMERIC L2c(1) IF R PLACES DOLE ON 7-PT DEFENSE SPENDING SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 249 1. Very certain 715 2. Pretty certain 511 3. Not very certain 8. DK 1 9. NA; RF 236 0. Inap, 8,9 in L2c ============================== VAR V960471 NUMERIC L2c(2) IF R PLACES DOLE ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 246 1. Extremely important 627 2. Very important 486 3. Somewhat important 71 4. Not too important 20 5. Not important 8. DK 1 9. NA; RF 236 0. Inap, 8,9 in L2c ============================== VAR V960472 NUMERIC L2d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of Presidential candidates L2b-L2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 26 1. Greatly decrease defense spending 53 2. 79 3. 127 4. 72 5. 39 6. 14 7. Greatly increase defense spending 8. DK 2 9. NA; RF 1079 0. Inap, interview conducted after question removed ============================== VAR V960473 NUMERIC L2d(1) IF R PLACES PEROT ON 7-PT DEFENSE SPENDING SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 44 1. Very certain 150 2. Pretty certain 215 3. Not very certain 8. DK 9. NA 1304 0. Inap, 8,9 in L2d; interview conducted after question removed ============================== VAR V960474 NUMERIC L2d(2) IF R PLACES PEROT ON 7-PT DEFENSE SPENDING SCALE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- Questions L2d, L2d(1),L2d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 34 1. Extremely important 115 2. Very important 175 3. Somewhat important 54 4. Not too important 15 5. Not important 8. DK 9. NA 1304 0. Inap, 8,9 in L2d; interview conducted after question removed ============================== VAR V960475 NUMERIC L2e IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] [See L2 for full text. Order of House candidates L2e-L2f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 20 1. Greatly decrease defense spending 44 2. 110 3. 186 4. 86 5. 27 6. 10 7. Greatly increase defense spending 8. DK 14 9. NA 812 0. Inap, 0,8,9 in L2a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC ============================== VAR V960476 NUMERIC L2f IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of House candidates L2e-L2f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 4 1. Greatly decrease defense spending 16 2. 61 3. 214 4. 128 5. 76 6. 7 7. Greatly increase defense spending 8. DK 8 9. NA 713 0. Inap, 0,8,9 in L2a; R didn't recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC ============================== VAR V960477 NUMERIC L2g IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of major parties L2g-L2h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 45 1. Greatly decrease defense spending 203 2. 358 3. 350 4. 258 5. 130 6. 40 7. Greatly increase defense spending 8. DK 9. NA 233 0. Inap, 0,8,9 in L2a ============================== VAR V960478 NUMERIC L2h IF R PLACES SELF ON 7-PT DEFENSE SPENDING SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON DEFENSE SPENDING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L2 for full text. Order of major parties L2g-L2h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 23 1. Greatly decrease defense spending 57 2. 148 3. 280 4. 467 5. 328 6. 71 7. Greatly increase defense spending 8. DK 9. NA 233 0. Inap, 0,8,9 in L2a ============================== VAR V960479 NUMERIC L3 Please look at page 8 of the booklet. There is much concern about the rapid rise in medical and hospital costs. Some people feel there should be a government insurance plan which would cover all medical and hospital expenses for everyone. (Suppose these people are at one end of a scale, at point 1). Others feel that all medical expenses should be paid by individuals and through private insurance plans like Blue Cross or some other company paid plans. (Suppose these people are at the other end, at point 7). And, of course, some other people have opinions somewhere in between at points 2,3,4,5, or 6. ----------------------------------------------------------- L3a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE: ----------------------------------------------------------- See L3 for full text. 219 1. Government insurance plan 170 2. 206 3. 328 4. 243 5. 203 6. 167 7. Private insurance plan 8. DK 2 9. NA; RF 164 0. Haven't though much about it ============================== VAR V960480 NUMERIC L3b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 394 1. Government insurance plan 351 2. 354 3. 230 4. 123 5. 73 6. 55 7. Private insurance plan 8. DK 3 9. NA; RF ============================== VAR V960481 NUMERIC L3c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 22 1. Government insurance plan 39 2. 105 3. 285 4. 413 5. 371 6. 226 7. Private insurance plan 8. DK 3 9. NA; RF ============================== VAR V960482 NUMERIC L3d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON GOVERNMENT HEALTH INSURANCE SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L3 for full text. Order of Presidential candidates L3b-L3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions L3d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 11 1. Government insurance plan 17 2. 40 3. 110 4. 75 5. 81 6. 73 7. Private insurance plan 8. DK 2 9. NA; RF 1079 0. Inap, question removed from the field ============================== VAR V960483 NUMERIC L4 Please look at page 9 of the booklet. Some people feel the government in Washington should see to it that every person has a job and a good standard of living (Suppose these people are at one end of a scale, at point 1.) Others think the government should just let each person get ahead on their own. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5, or 6. ----------------------------------------------------------- L4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- See L4 for full text. 124 1. Government should see to a job and good standard of living 121 2. 160 3. 341 4. 319 5. 291 6. 197 7. Government should let each person get ahead on own 8. DK 1 9. NA; RF 155 0. Haven't though much about it ============================== VAR V960484 NUMERIC L4b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 205 1. Government should see to a job and good standard of living 302 2. 418 3. 352 4. 182 5. 84 6. 42 7. Government should let each person get ahead on own 8. DK 2 9. NA; RF ============================== VAR V960485 NUMERIC L4c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 19 1. Government should see to a job and good standard of living 43 2. 120 3. 269 4. 433 5. 414 6. 221 7. Government should let each person get ahead on own 8. DK 2 9. NA; RF ============================== VAR V960486 NUMERIC L4d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON GUARANTEED JOB/STANDARD OF LIVING SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See L4 for full text. Order of Presidential candidates L4b-L4d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question L4d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 8 1. Government should see to a job and good standard of living 21 2. 46 3. 84 4. 80 5. 142 6. 115 7. Government should let each person get ahead on own 8. DK 2 9. NA; RF 1079 0. Inap, question removed from the field ============================== VAR V960487 NUMERIC L5 Please look at page 10 of the booklet. Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. (Suppose these people are at one end of a scale, at point 1.) Others feel that the government should not make any special effort to help blacks because they should help themselves. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5, or 6. ----------------------------------------------------------- L5a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. 76 1. Government should help blacks 66 2. 148 3. 366 4. 316 5. 294 6. 296 7. Blacks should help themselves 8. DK 9 9. NA; RF 130 0. Haven't thought much about it ============================== VAR V960488 NUMERIC L5a(1) IF R PLACES SELF ON 7-PT AID TO BLACKS SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 907 1. Very certain 542 2. Pretty certain 112 3. Not very certain 8. DK 1 9. NA; RF 152 0. Inap, 0,8,9 in L5a ============================== VAR V960489 NUMERIC L5a(2) ALL RESPONDENTS: How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 368 1. Extremely important 486 2. Very important 631 3. Somewhat important 165 4. Not too important 48 5. Not important 8. DK 9. NA 9 0. Inap, 9 in L5a ============================== VAR V960490 NUMERIC L5b [RB] (Where would you place) BILL CLINTON on this scale? CLINTON PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 158 1. Government should help blacks 287 2. 425 3. 385 4. 177 5. 67 6. 37 7. Blacks should help themselves 8. DK 7 9. NA; RF ============================== VAR V960491 NUMERIC L5b(1) IF R PLACES CLINTON ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 319 1. Very certain 747 2. Pretty certain 466 3. Not very certain 8. DK 1 9. NA; RF 178 0. Inap, 8,9 in L5b ============================== VAR V960492 NUMERIC L5c [RB] (Where would you place) BOB DOLE on this scale? DOLE PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 14 1. Government should help blacks 38 2. 94 3. 365 4. 418 5. 339 6. 189 7. Blacks should help themselves 8. DK 8 9. NA; RF ============================== VAR V960493 NUMERIC L5c(1) IF R PLACES DOLE ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 241 1. Very certain 668 2. Pretty certain 545 3. Not very certain 8. DK 1 9. NA; RF 257 0. Inap, 8,9 in L5c ============================== VAR V960494 NUMERIC L5d [RB] (Where would you place) ROSS PEROT on this scale? PEROT PLACEMENT ON AID TO BLACKS SCALE ----------------------------------------------------------- See L5 for full text. Order of Presidential candidates L5b-L5d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 14 1. Government should help blacks 30 2. 77 3. 302 4. 252 5. 276 6. 263 7. Blacks should help themselves 8. DK 13 9. NA; RF ============================== VAR V960495 NUMERIC L5d(1) IF R PLACES PEROT ON 7-PT SCALE FOR AID TO BLACKS: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 201 1. Very certain 492 2. Pretty certain 519 3. Not very certain 8. DK 1 9. NA; RF 500 0. Inap, 8,9 in L5d ============================== VAR V960496 NUMERIC L6 (Not looking at the booklet.) If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending INCREASED and for which would you like to see spending DECREASED? ----------------------------------------------------------- L6a (Should Federal Spending on) FOOD STAMPS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 184 1. Increased 777 2. Decreased 705 3. Kept about the same 22 7. Cut out entirely [VOL] 8. DK 3 9. NA; RF ============================== VAR V960497 NUMERIC L6b (Should Federal Spending on) WELFARE PROGRAMS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 194 1. Increased 943 2. Decreased 540 3. Kept about the same 17 7. Cut out entirely [VOL] 8. DK 5 9. NA; RF ============================== VAR V960498 NUMERIC L6c (Should Federal Spending on) AIDS RESEARCH (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 949 1. Increased 177 2. Decreased 561 3. Kept about the same 10 7. Cut out entirely [VOL] 8. DK 2 9. NA; RF ============================== VAR V960499 NUMERIC L6d (Should Federal Spending on) FOREIGN AID (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 89 1. Increased 988 2. Decreased 597 3. Kept about the same 12 7. Cut out entirely [VOL] 8. DK 2 9. NA; RF ============================== VAR V960500 NUMERIC L6e (Should Federal Spending on) FINANCIAL AID TO COLLEGE STUDENTS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 902 1. Increased 139 2. Decreased 649 3. Kept about the same 8 7. Cut out entirely [VOL] 8. DK 3 9. NA; RF ============================== VAR V960501 NUMERIC L6f (Should Federal Spending on) SOLVING THE PROBLEM OF THE HOMELESS (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 973 1. Increased 180 2. Decreased 525 3. Kept about the same 10 7. Cut out entirely [VOL] 8. DK 4 9. NA; RF ============================== VAR V960502 NUMERIC L6g (Should Federal Spending on) TIGHTENING BORDER SECURITY AND PREVENTING ILLEGAL IMMIGRATION (BE INCREASED, DECREASED, OR KEPT ABOUT THE SAME)?? ----------------------------------------------------------- See L6 for full text. Order of Federal spending items L6a-L6g was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1094 1. Increased 132 2. Decreased 455 3. Kept about the same 3 7. Cut out entirely [VOL] 8. DK 6 9. NA; RF ============================== VAR V960503 NUMERIC M1a Please look at page 11 of the Booklet. There has been some discussion about abortion during recent years. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose. 1. By law, abortion should never be permitted. 2. The law should permit abortion ONLY in case of rape, incest or when the woman's life is in danger. 3. The law should permit abortion for reasons OTHER THAN rape, incest or danger to the woman's life, but only after the need for the abortion has been clearly established. 4. By law, a woman should always been able to obtain an abortion as a matter of personal choice 7. Other [VOL] ----------------------------------------------------------- 200 1. Never permitted 496 2. Rape, incest, danger only 272 3. Clear need 711 4. Always as personal choice 25 7. Other (specify) [VOL] 8. DK 5 9. NA; RF ============================== VAR V960504 NUMERIC M1a(1) IF R HAS PLACED SELF ON ABORTION ISSUE: How certain are you of your position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 1215 1. Very certain 397 2. Pretty certain 91 3. Not very certain 8. DK 1 9. NA; RF 10 0. Inap, 8,9 in M1a ============================== VAR V960505 NUMERIC M1a(2) ALL RESPONDENTS (ABORTION ISSUE): How important is this issue to you? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 527 1. Extremely important 615 2. Very important 405 3. Somewhat important 121 4. Not too important 39 5. Not important at all 8. DK 9. NA 5 0. Inap, 9 in M1a ============================== VAR V960506 NUMERIC M1b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 61 1. Never permitted 268 2. Rape, incest, danger only 342 3. Clear need 857 4. Always as personal choice 2 7. Other (specify) [VOL] 8. DK 3 9. NA; RF ============================== VAR V960507 NUMERIC M1b(1) IF R HAS PLACED CLINTON ON ABORTION ISSUE: How certain are you of BILL CLINTON'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 532 1. Very certain 660 2. Pretty certain 335 3. Not very certain 8. DK 2 9. NA; RF 184 0. Inap, 8,9 in M1b ============================== VAR V960508 NUMERIC M1b(2) IF R HAS PLACED CLINTON ON ABORTION ISSUE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 278 1. Extremely important 654 2. Very important 463 3. Somewhat important 96 4. Not too important 17 5. Not important at all 8. DK 2 9. NA; RF 184 0. Inap, 8,9 in M1b ============================== VAR V960509 NUMERIC M1c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 277 1. Never permitted 717 2. Rape, incest, danger only 281 3. Clear need 127 4. Always as personal choice 7 7. Other (specify) [VOL] 8. DK 6 9. NA; RF ============================== VAR V960510 NUMERIC M1c(1) IF R HAS PLACED DOLE ON ABORTION ISSUE: How certain are you of BOB DOLE'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 306 1. Very certain 645 2. Pretty certain 457 3. Not very certain 8. DK 9. NA 305 0. Inap, 8,9 in M1c ============================== VAR V960511 NUMERIC M1c(2) IF R HAS PLACED DOLE ON ABORTION ISSUE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 188 1. Extremely important 505 2. Very important 544 3. Somewhat important 125 4. Not too important 13 5. Not important at all 8. DK 9. NA 305 0. Inap, 8,9 in M1c ============================== VAR V960512 NUMERIC M1d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of Presidential candidates M1b-M1d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 44 1. Never permitted 118 2. Rape, incest, danger only 92 3. Clear need 80 4. Always as personal choice 9 7. Other (specify) [VOL] 8. DK 5 9. NA 1079 0. Inap, question removed from the field ============================== VAR V960513 NUMERIC M1d(1) IF R HAS PLACED PEROT ON ABORTION ISSUE: How certain are you of ROSS PEROT'S position on this issue? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Order of Presidential candidates M1b-M1d was randomized. See M1a for full text. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 35 1. Very certain 109 2. Pretty certain 199 3. Not very certain 8. DK 9. NA 1371 0. Inap, 8,9 in M1d; question removed from the field ============================== VAR V960514 NUMERIC M1d(2) IF R HAS PLACED PEROT ON ABORTION ISSUE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- Order of Presidential candidates M1b-M1d was randomized. See M1a for full text. Questions M1d, M1d(1), M1d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 20 1. Extremely important 55 2. Very important 162 3. Somewhat important 73 4. Not too important 22 5. Not important at all 8. DK 9. NA 1371 0. Inap, 8,9 in M1d; question removed from the field ============================== VAR V960515 NUMERIC M1e IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) [NAME #31,#33,#35] (on this scale)? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of House candidates M1e-M1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 38 1. Never permitted 120 2. Rape, incest, danger only 123 3. Clear need 201 4. Always as personal choice 7 7. Other (specify) [VOL] 8. DK 16 9. NA; RF 688 0. Inap, 0,8,9 in M1a; R didn't recognize name (997 in D1g); no Democratic House candidate (race type 24); Washington DC ============================== VAR V960516 NUMERIC M1f IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) [NAME #32,#34,#36] (on this scale)? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of House candidates M1e-M1f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 74 1. Never permitted 218 2. Rape, incest, danger only 109 3. Clear need 76 4. Always as personal choice 11 7. Other (specify) [VOL] 8. DK 11 9. NA; RF 586 0. Inap, 0,8,9 in M1a; R didn't recognize name (997 in D1h); no Republican House candidate (race type 14); Washington DC ============================== VAR V960517 NUMERIC M1g IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of major parties M1g-M1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 60 1. Never permitted 244 2. Rape, incest, danger only 390 3. Clear need 749 4. Always as personal choice 7 7. Other (specify) [VOL] 8. DK 4 9. NA; RF 10 0. Inap, 8,9 in M1a ============================== VAR V960518 NUMERIC M1h IF R HAS PLACED SELF ON ABORTION ISSUE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ABORTION ISSUE ----------------------------------------------------------- See M1a for full text. Order of major parties M1g-M1h was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 303 1. Never permitted 716 2. Rape, incest, danger only 279 3. Clear need 133 4. Always as personal choice 5 7. Other (specify) [VOL] 8. DK 3 9. NA; RF 10 0. Inap, 8,9 in M1a ============================== VAR V960519 NUMERIC M2 (Looking at page 12 of the booklet.) Some people say that the best way to reduce crime is to address the social problems that cause crime, like bad schools, poverty and joblessness. (Suppose these people are at one end of a scale, at point 1.) Other people say the best way to reduce crime is to make sure that criminals are caught, convicted and punished. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. ----------------------------------------------------------- M2a [RB] Where would you place YOURSELF on this scale or haven't you thought much about this? R SELF-PLACEMENT ON REDUCTION OF CRIME SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. 186 1. Social problems that cause crime, like bad schools, poverty and joblessness 139 2. 157 3. 360 4. 189 5. 236 6. 361 7. Make sure criminals are caught, convicted and punished 8. DK 6 9. NA; RF 62 0. Haven't thought much about it ============================== VAR V960520 NUMERIC M2b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON CRIME REDUCTION SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 147 1. Social problems that cause crime, like bad schools, poverty and joblessness 265 2. 368 3. 331 4. 201 5. 138 6. 130 7. Make sure criminals are caught, convicted and punished 8. DK 4 9. NA; RF ============================== VAR V960521 NUMERIC M2c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON CRIME REDUCTION SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 32 1. Social problems that cause crime, like bad schools, poverty and joblessness 41 2. 97 3. 293 4. 381 5. 427 6. 231 7. Make sure criminals are caught, convicted and punished 8. DK 3 9. NA; RF ============================== VAR V960522 NUMERIC M2d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON CRIME REDUCTION SCALE ----------------------------------------------------------- [Interviewer: DO NOT PROBE "DK"] See M2 for full text. Order of Presidential candidates M2b-M2d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question M2d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and Ending VQ early in the pre data. 19 1. Social problems that cause crime, like bad schools, poverty and joblessness 13 2. 20 3. 108 4. 85 5. 103 6. 102 7. Make sure criminals are caught, convicted and punished 8. DK 2 9. NA; RF 1079 0. Inap, question removed from the field ============================== VAR V960523 NUMERIC M3 Please look at page 13 of the booklet. Some people think it is important to protect the environment even if it costs some jobs or otherwise reduces our standard of living. (Suppose these people are at one end of the scale, at point number 1.) Other people think that protecting the environment is not as important as maintaining jobs and our standard of living. (Suppose these people are at the other end of the scale, at point numbeer 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ----------------------------------------------------------- M3a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. 169 1. Protect environment, even if it costs jobs, standard of living 229 2. 295 3. 406 4. 204 5. 101 6. 57 7. Jobs, standard of living more important than environment 8. DK 2 9. NA; RF 245 0. Haven't thought much about it ============================== VAR V960524 NUMERIC M3a(1) IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: How certain are you of YOUR position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 664 1. Very certain 681 2. Pretty certain 115 3. Not very certain 8. DK 1 9. NA; RF 253 0. Inap, 0,8,9 in M3a ============================== VAR V960525 NUMERIC M3a(2) ALL RESPONDENTS (JOBS/ENVIRONMENT SCALE): How important is this issue to YOU? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 311 1. Extremely important 669 2. Very important 583 3. Somewhat important 108 4. Not too important 34 5. Not important at all 8. DK 9. NA 2 0. Inap, 9 in M3a ============================== VAR V960526 NUMERIC M3b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 125 1. Protect environment, even if it costs jobs, standard of living 276 2. 413 3. 402 4. 190 5. 95 6. 47 7. Jobs, standard of living more important than environment 8. DK 3 9. NA; RF ============================== VAR V960527 NUMERIC M3b(1) IF R HAS PLACED CLINTON ON JOBS/ENVIRONMENT SCALE: How certain are you of BILL CLINTON'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 297 1. Very certain 780 2. Pretty certain 469 3. Not very certain 8. DK 1 9. NA; RF 166 0. Inap, 8,9 in M3b ============================== VAR V960528 NUMERIC M3b(2) IF R HAS PLACED CLINTON ON JOBS/ENVIRONMENT SCALE: How important is this issue to BILL CLINTON? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 213 1. Extremely important 601 2. Very important 616 3. Somewhat important 86 4. Not too important 5 5. Not important at all 8. DK 9. NA 166 0. Inap, 8,9 in M3b ============================== VAR V960529 NUMERIC M3c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 31 1. Protect environment, even if it costs jobs, standard of living 58 2. 166 3. 435 4. 428 5. 264 6. 71 7. Jobs, standard of living more important than environment 8. DK 6 9. NA; RF ============================== VAR V960530 NUMERIC M3c(1) IF R HAS PLACED DOLE ON JOBS/ENVIRONMENT SCALE: How certain are you of BOB DOLE'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 178 1. Very certain 699 2. Pretty certain 574 3. Not very certain 8. DK 1 9. NA; RF 261 0. Inap, 8,9 in M3c ============================== VAR V960531 NUMERIC M3c(2) IF R HAS PLACED DOLE ON JOBS/ENVIRONMENT SCALE: How important is this issue to BOB DOLE? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- 106 1. Extremely important 413 2. Very important 748 3. Somewhat important 141 4. Not too important 17 5. Not important important at all 8. DK 9. NA 261 0. Inap, 8,9 in M3c ============================== VAR V960532 NUMERIC M3d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of Presidential candidates M3b-3d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 15 1. Protect environment, even if it costs jobs, standard of living 17 2. 34 3. 142 4. 100 5. 76 6. 39 7. Jobs, standard of living more important than environment 8. DK 4 9. NA; RF 1079 0. Inap, interview after Sept 26, 1996 ============================== VAR V960533 NUMERIC M3d(1) IF R HAS PLACED PEROT ON JOBS/ENVIRONMENT SCALE: How certain are you of ROSS PEROT'S position on this scale? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 45 1. Very certain 156 2. Pretty certain 220 3. Not very certain 8. DK 9. NA 1291 0. Inap, 8,9 in M3d; interview after Sept 26, 1996 ============================== VAR V960534 NUMERIC M3d(2) IF R HAS PLACED PEROT ON JOBS/ENVIRONMENT SCALE: How important is this issue to ROSS PEROT? EXTREMELY IMPORTANT, VERY IMPORTANT, SOMEWHAT IMPORTANT, NOT TOO IMPORTANT, or NOT IMPORTANT AT ALL? ----------------------------------------------------------- Questions M3d, M3d(1), M3d(2) were not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 24 1. Extremely important 86 2. Very important 212 3. Somewhat important 77 4. Not too important 10 5. Not important at all 8. DK 9. NA 1291 0. Inap, 8,9 in M3d; interview after Sept 26, 1996 ============================== VAR V960535 NUMERIC M3e IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of major parties M3e-M3f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 77 1. Protect environment, even if it costs jobs, standard of living 259 2. 406 3. 354 4. 153 5. 62 6. 27 7. Jobs, standard of living more important than environment 8. DK 1 9. NA; RF 253 0. Inap, 0,8,9 in M3a ============================== VAR V960536 NUMERIC M3f IF R HAS PLACED SELF ON JOBS/ENVIRONMENT SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON JOBS/ENVIRONMENT SCALE ----------------------------------------------------------- See M3 for full text. Order of major parties M3e-M3f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 21 1. Protect environment, even if it costs jobs, standard of living 39 2. 140 3. 350 4. 400 5. 287 6. 86 7. Jobs, standard of living more important than environment 8. DK 1 9. NA; RF 253 0. Inap, 0,8,9 in M3a ============================== VAR V960537 NUMERIC M4 Please look at page 14 of the booklet. Some people think we need much tougher government regulations on business in order to protect the environmnt. (Suppose these people are at one end of a scale, at point 1.) Others think that current regulation to protect the environment are already too much of a burden on business. (Suppose these people are at the other end of the scale, a point number 7.) And, of course, some other people have opinions somewhere in between at points 2,3,4,5 or 6. ----------------------------------------------------------- M4a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. 198 1. Tougher regulations on business needed to protect the environment 231 2. 292 3. 326 4. 164 5. 97 6. 64 7. Regulations to protect environment already too much of a burden on business 8. DK 3 9. NA; RF 330 0. Haven't thought much about it ============================== VAR V960538 NUMERIC M4b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 140 1. Tougher regulations on business needed to protect the environment 281 2. 454 3. 417 4. 139 5. 49 6. 18 7. Regulations to protect environment already too much of a burden on business 8. DK 4 9. NA; RF ============================== VAR V960539 NUMERIC M4c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 37 1. Tougher regulations on business needed to protect the environment 59 2. 173 3. 411 4. 388 5. 279 6. 93 7. Regulations to protect environment already too much of a burden on business 8. DK 5 9. NA; RF ============================== VAR V960540 NUMERIC M4d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of Presidential candidates M4b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question M4d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 11 1. Tougher regulations on business needed to protect the environment 22 2. 46 3. 125 4. 84 5. 99 6. 54 7. Regulations to protect environment already too much of a burden on business 8. DK 3 9. NA; RF 1079 0. Inap, interview after Sept 26, 1996 ============================== VAR V960541 NUMERIC M4e IF R HAS PLACED SELF ON 7-PT ENVIRONMENTAL REGULATION SCALE: [RB] (Where would you place) THE DEMOCRATIC PARTY (on this scale)? DEMOCRATIC PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 101 1. Tougher regulations on business needed to protect the environment 261 2. 403 3. 344 4. 106 5. 44 6. 8 7. Regulations to protect environment already too much of a burden on business 8. DK 1 9. NA; RF 342 0. Inap, 0,8,9 in M4a ============================== VAR V960542 NUMERIC M4f IF R HAS PLACED SELF ON 7-PT ENVIRONMENTAL REGULATION SCALE: [RB] (Where would you place) THE REPUBLICAN PARTY (on this scale)? REPUBLICAN PARTY PLACEMENT ON ENVIRONMENTAL REGULATION SCALE ----------------------------------------------------------- See M4 for full text. Order of major parties M4e-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 21 1. Tougher regulations on business needed to protect the environment 43 2. 149 3. 298 4. 357 5. 274 6. 117 7. Regulations to protect environment already too much of a burden on business 8. DK 1 9. NA; RF 342 0. Inap, 0,8,9 in M4a ============================== VAR V960543 NUMERIC N1 Please look at page 15 of the booklet. Recently there has been a lot of talk about women's rights. Some people feel that women should have an equal role with men in running business, industry, and government. (Suppose these people are at one end of a scale, at point 1.) Others feel that a woman's place is in the home. (Suppose these people are at the other end, at point 7.) And, of course, some other people have opinions somewhere in between, at points 2,3,4,5 or 6. ----------------------------------------------------------- N1a [RB] Where would you place YOURSELF on this scale, or haven't you thought much about this? R SELF-PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. 818 1. Women and men should have equal roles 319 2. 132 3. 196 4. 71 5. 55 6. 54 7. A woman's place is in the home 8. DK 2 9. NA; RF 57 0. Haven't thought much about it ============================== VAR V960544 NUMERIC N1b [RB] (Where would you place) BILL CLINTON (on this scale)? CLINTON PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 614 1. Women and men should have equal roles 460 2. 274 3. 158 4. 42 5. 25 6. 16 7. A woman's place is in the home 8. DK 2 9. NA; RF ============================== VAR V960545 NUMERIC N1c [RB] (Where would you place) BOB DOLE (on this scale)? DOLE PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 229 1. Women and men should have equal roles 262 2. 304 3. 381 4. 207 5. 103 6. 50 7. A woman's place is in the home 8. DK 3 9. NA; RF ============================== VAR V960546 NUMERIC N1d [RB] (Where would you place) ROSS PEROT (on this scale)? PEROT PLACEMENT ON WOMEN'S ROLE SCALE ----------------------------------------------------------- See N1 for full text. Order of presidential candidates N1b-d was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. Question N1d was not administered if the VQ version used by the interviewer at the time this question was asked was dated September 25 or later (inap). See the variables for Beginning VQ and ending VQ early in the pre data. 44 1. Women and men should have equal roles 47 2. 61 3. 122 4. 73 5. 57 6. 47 7. A woman's place is in the home 8. DK 2 9. NA; RF 1079 0. Inap, interview after September 26, 1996 ============================== VAR V960547 NUMERIC N2 (Not using the booklet) So far as you know now, do you expect to vote in the national elections this coming November or not? ----------------------------------------------------------- [Interviewer note: DO NOT PROBE "DK"] 1481 1. Yes 205 5. No 8. DK 1 9. NA; RF ============================== VAR V960548 NUMERIC N2a IF R INTENDS TO VOTE: Who do you think you will vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you will vote for in the election for President?) ----------------------------------------------------------- 813 1. Bill Clinton 481 2. Bob Dole 83 3. Ross Perot 5 5. None (if voter, will not vote for President) [VOL] 12 7. Other (specify) 8. DK 16 9. NA; RF 233 0. Inap, 5,8,9 in N2 ============================== VAR V960549 NUMERIC N2b IF R INTENDS TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R INTENDS TO VOTE FOR PRESIDENT: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- 1014 1. Strong 375 2. Not strong 8. DK 9. NA; RF 325 0. Inap, 5,8,9 in N2; 5,8,9 in N2a ============================== VAR V960550 NUMERIC N2c IF R DOES NOT INTEND TO VOTE: If you were going to vote, who do you think you would vote for in the election for President? (PROBE: We all know the election is some time away and people are not certain at this point who they will vote for. Still, who do you think you would vote for in the election for President?) ----------------------------------------------------------- 124 1. Bill Clinton 34 2. Bob Dole 22 3. Ross Perot 5 5. None 1 7. Other (specify) 8. DK 3 9. NA; RF 1509 0. Inap, 1,8,9 in N2 ============================== VAR V960551 NUMERIC N2d IF R DOES NOT INTEND TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R WOULD VOTE FOR PRESIDENT: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- 108 1. Strong 73 2. Not Strong 8. DK 9. NA; RF 1533 0. Inap, 1,8,9 in N2; 5,8,9 in N2c ============================== VAR V960552 NUMERIC N3a Sometimes people do not vote for candidates who have no chance of winning. Regardless of who you think will win, who would you most like to see elected in November -- [Bob Dole], [Bill Clinton], or [Ross Perot]? ----------------------------------------------------------- Order of presidential candidate names read in question text was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 894 1. Bill Clinton 491 2. Bob Dole 183 3. Ross Perot 56 5. None of the above [VOL] 6 6. R says "I don't care" [VOL] 41 7. Other (specify) [VOL] 8. DK 10 9. NA; RF ============================== VAR V960553 NUMERIC N3b IF R HAS IDENTIFIED A CANDIDATE WHOM R WOULD MOST LIKE TO SEE ELECTED PRESIDENT: If you could cast more than one vote in the presidential election this November, which other candidate would you find acceptable and vote for? ----------------------------------------------------------- Candidate name in N3b was accepted only if different from N3a. 160 1. Bill Clinton 303 2. Bob Dole 333 3. Ross Perot 619 5. None of the above [VOL] 151 7. Other (specify) [VOL] 8. DK 3 9. NA; RF 105 0. Inap, 5,6,8,9 in N3a ============================== VAR V960554 NUMERIC N4a IF R INTENDS TO VOTE: Who do you think you will vote for in the election for the U.S. House of Representatives in this district (alternatively -- in the district in which you will vote)? ----------------------------------------------------------- This question was intended for administration regardless of type of House race, however, with a single exception, an error in the application erroneously skipped this question for Rs in districts with unopposed House races. 370 1. Democratic candidate name given 351 2. Repubican candidate name given 79 3. No one [VOL] 101 4. 'The Democrat' [VOL] 90 5. 'The Republican' [VOL] 107 7. Other (specify) [VOL] 8. DK 24 9. NA; RF 295 0. Inap, 5,8,9 in N2; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR V960555 NUMERIC N4ax IF R INTENDS TO VOTE: (Who do you think you will vote for in the election for the U.S. House of Representatives in this district?) CANDIDATE CODE ----------------------------------------------------------- See note N4a. Built from N4a and type of race. Responses of 'the Democrat' and 'the Republican' were coded to the appropriate candidate code of the Democratic or Republican candidate in R's district. 52 31. Democratic candidate in open race 24 32. Republican candidate in open race 285 33. Democratic incumbent 337 34. Republican incumbent 134 35. Democratic challenger 80 36. Republican challenger 107 97. Name not on candidate list 98. DK 24 99. NA; RF 374 00. Inap, 5,8,9 in N2; 3 in N4a; type race 14 or 14 (exc. 1 case); Washington DC ============================== VAR V960556 NUMERIC N4b IF R INTENDS TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R INTENDS TO VOTE FOR CONGRESS: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- See note N4a. 571 1. Strong 416 2. Not strong 8. DK 3 9. NA; RF 694 0. Inap, 5,8,9 in N2; 3,8,9 in N4a; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR V960557 NUMERIC N4c IF R DOES NOT INTEND TO VOTE : Who do you think you would vote for in the election for the U.S. House of Representatives in this district? ----------------------------------------------------------- This question was intended for administration regardless of type of House race, however, with a single exception, an error in the application erroneously skipped this question for Rs in districts with unopposed House races. 27 1. Democratic candidate name given 29 2. Republican candidate name given 67 3. No one [VOL] 11 4. 'The Democrat [VOL]' 1 5. 'The Republican [VOL]' 9 7. Other (specify) 8. DK 4 9. NA; RF 1513 0. Inap, 1,8,9 in N2; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR V960558 NUMERIC N4cx IF R DOES NOT INTEND TO VOTE : (Who do you think you would vote for in the election for the U.S. House of Representatives in this district?) CANDIDATE CODE ----------------------------------------------------------- See note N4c. Built from N4c and type of race. Responses of 'the Democrat' and 'the Republican' were coded to the appropriate candidate code of the Democratic or Republican candidate in R's district. 5 31. Democratic candidate in open race 32. Republican candidate in open race 23 33. Democratic incumbent 27 34. Republican incumbent 10 35. Democratic challenger 3 36. Republican challenger 9 97. Name not on candidate list 98. DK 4 99. NA; RF 1580 00. Inap, 5,8,9 in N2; 3 in N4c; type race 14 or 14 (exc. 1 case); Washington DC ============================== VAR V960559 NUMERIC N4d IF R DOES NOT INTEND TO VOTE: IF R IDENTIFIES CANDIDATE FOR WHOM R WOULD VOTE FOR CONGRESS: Would you say that your preference for this candidate is strong or not strong? ----------------------------------------------------------- See note N4c. 33 1. Strong 41 2. Not strong 8. DK 1 9. NA; RF 1636 0. Inap,1,8,9 in N2; 3,8,9 in N4c; type race 14 or 24 (exc. 1 case); Washington DC ============================== VAR V960560 NUMERIC N5 Here are some questions about Federal spending. If you had a say in making up the federal budget this year, for which of the following programs would you like to see spending INCREASED and for which would you like to see spending DECREASED. ----------------------------------------------------------- N5a (Should Federal spending on) SOCIAL SECURITY (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 799 1. Increased 102 2. Decreased 794 3. Kept about the same 3 7. Cut out entirely [VOL] 8. DK 4 9. NA; RF ============================== VAR V960561 NUMERIC N5b (Should Federal spending on) IMPROVING AND PROTECTING THE ENVIRONMENT (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 693 1. Increased 139 2. Decreased 862 3. Kept about the same 2 7. Cut out entirely [VOL] 8. DK 2 9. NA; RF ============================== VAR V960562 NUMERIC N5c (Should Federal spending on) PUBLIC SCHOOLS (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1146 1. Increased 101 2. Decreased 449 3. Kept about the same 6 7. Cut out entirely [VOL] 8. DK 2 9. NA; RF ============================== VAR V960563 NUMERIC N5d (Should Federal spending on) DEALING WITH CRIME (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 1163 1. Increased 85 2. Decreased 454 3. Kept about the same 7. Cut out entirely [VOL] 8. DK 2 9. NA; RF ============================== VAR V960564 NUMERIC N5e (Should Federal spending on) CHILD CARE (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 865 1. Increased 179 2. Decreased 629 3. Kept about the same 13 7. Cut out entirely [VOL] 8. DK 2 9. NA; RF ============================== VAR V960565 NUMERIC N5f (Should Federal spending on) POOR PEOPLE (be INCREASED, DECREASED, or KEPT ABOUT THE SAME)? ----------------------------------------------------------- See N5 for full text. Order of Federal spending items N5a-f was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the pre-election survey vars. The question numbers for randomization variables closely follow survey question numbers, preceded by "Rand" [e.g. for question A4 there is a randomization variable Rand.A4]. 776 1. Increased 202 2. Decreased 709 3. Kept about the same 5 7. Cut out entirely [VOL] 8. DK 3 9. NA; RF ============================== VAR V960566 NUMERIC Q1 People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the GOVERNMENT IN GENERAL. We want to see how you feel about these ideas. For example: How much of the time do you think you can trust the government in Washington to do what is right-- JUST ABOUT ALWAYS, MOST OF THE TIME, or ONLY SOME OF THE TIME? ----------------------------------------------------------- 42 1. Just about always 451 2. Most of the time 1181 3. Only some of the time 27 7. None of the time [VOL] 8. DK 2 9. NA; RF ============================== VAR V960567 NUMERIC Q2 Generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? ----------------------------------------------------------- 659 1. Can be trusted 1042 2. Can't be too careful dealing with people 8. DK 2 9. NA; RF ============================== VAR V960568 NUMERIC Q2.1 Please look at page 16 of the booklet. Please tell me how much you agree or disagree with this statement: "People like me don't have any say about what the government does." ----------------------------------------------------------- 285 1. Agree strongly 606 2. Agree somewhat 154 3. Neither agree nor disagree 448 4. Disagree somewhat 215 5. Disagree strongly 8. DK 2 9. NA; RF ============================== VAR V960569 NUMERIC Q3 (Not using the booklet) Do you think most people would try to take advantage of you if they got the chance or would they try to be fair? ----------------------------------------------------------- 672 1. Take advantage 1023 2. Try to be fair 8. DK 2 9. NA; RF ============================== VAR V960570 NUMERIC Q4 In terms of general attitudes and beliefs, how similar would you say other people are to you-- VERY SIMILAR, SOMEWHAT SIMILAR, NOT VERY SIMILAR, or NOT AT ALL SIMILAR? ----------------------------------------------------------- 210 1. Very similar 1155 2. Somewhat similar 268 3. Not very similar 68 4. Not at all similar 8. DK 3 9. NA; RF ============================== VAR V960571 NUMERIC Q5 Do you consider religion to be an IMPORTANT part of your life, or NOT? ----------------------------------------------------------- 1335 1. Important 371 2. Not important 8. DK 4 9. NA; RF ============================== VAR V960572 NUMERIC Q6 IF R SAYS RELIGION IS IMPORTANT: Would you say your religion provides SOME guidance in your day-to-day living, QUITE A BIT of guidance, or A GREAT DEAL of guidance in your day-to-day life? ----------------------------------------------------------- 285 1. Some 425 2. Quite a bit 623 3. A great deal 8. DK 1 9. NA; RF 379 0. Inap, 2,8,9 in Q5 ============================== VAR V960573 NUMERIC Q7a Please look at page 17 of the booklet. People practice their religion in different ways. Outside of attending religious services, do you pray SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? ----------------------------------------------------------- 519 1. Several times a day 391 2. Once a day 345 3. A few times a week 287 4. Once a week or less 161 5. Never 8. DK 9 9. NA; RF ============================== VAR V960574 NUMERIC Q7b (Looking at page 17 of the booklet) Outside of attending religious services, do you read the Bible SEVERAL TIMES A DAY, ONCE A DAY, A FEW TIMES A WEEK, ONCE A WEEK OR LESS or NEVER? ----------------------------------------------------------- 50 1. Several times a day 176 2. Once a day 246 3. A few times a week 588 4. Once a week or less 646 5. Never 8. DK 6 9. NA; RF ============================== VAR V960575 NUMERIC Q8 Please look at page 18 of the booklet. Which of these statements comes closest to describing your feelings about the Bible? You can just give me the number of your choice. 1. The Bible is the actual word of God and is to be taken literally, word for word. 2. The Bible is the word of God but not everything in it should be taken literally, word for word. 3. The Bible is a book written by men and is not the word of God. 7. Other [VOL] ----------------------------------------------------------- 616 1. Bible is actual word of God 814 2. Bible is word of God, but not literally 245 3. Bible is not the word of God 26 7. Other (specify) [VOL] 8. DK 9 9. NA; RF ============================== VAR V960576 NUMERIC X1 (Not using the booklet) Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms or funerals? ----------------------------------------------------------- 1212 1. Yes 496 5. No 8. DK; RF 9. NA ============================== VAR V960577 NUMERIC X1a IF R DOES NOT ATTEND RELIGIOUS SERVICES: Regardless of whether you now attend any religious services do you ever think of yourself as part of a particular church or denomination? ----------------------------------------------------------- 284 1. Yes 211 5. No 8. DK; RF 9. NA 1218 0. Inap, 1,8,9 in X1 ============================== VAR V960578 NUMERIC X2 IF R ATTENDS RELIGIOUS SERVICES: Do you go to religious services EVERY WEEK, ALMOST EVERY WEEK, ONCE OR TWICE A MONTH, A FEW TIMES A YEAR, OR NEVER? ----------------------------------------------------------- 444 1. Every week 208 2. Almost every week 248 3. Once or twice a month 306 4. A few times a year 3 5. Never 8. DK 9. NA; RF 502 0. Inap, 5,8,9 in X1 ============================== VAR V960579 NUMERIC X2a IF R SAYS ATTENDS RELIGIOUS SERVICES 'EVERY WEEK': Would you say you go to religious services ONCE A WEEK or MORE OFTEN THAN ONCE A WEEK? ----------------------------------------------------------- 235 1. Once a week 209 2. More often than once 8. DK;RF 9. NA 1270 0. Inap, 5,8,9 in X1; 2-5,8,9 in X2 ============================== VAR V960580 NUMERIC X3 IF R ATTENDS CHURCH: / IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: INTERVIEWER CHECKPOINT: DOES R ATTEND CHURCH? ----------------------------------------------------------- 1209 1. Yes 287 5. No 0. Inap, 8,9 in X1; 5,8,9 in X1a ============================== VAR V960581 NUMERIC X3a IF R ATTENDS RELIGIOUS SERVICES: Do you mostly attend a place of worship that is PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? ----------------------------------------------------------- 683 1. Protestant 346 2. Roman Catholic 22 3. Jewish 153 7. Other 8. DK; RF 1 9. NA 505 0. Inap, 5,8,9 in X1; 5 in X2 ============================== VAR V960582 NUMERIC X3b IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION: Do you consider yourself PROTESTANT, ROMAN CATHOLIC, JEWISH, or what? ----------------------------------------------------------- 163 1. Protestant 79 2. Roman Catholic 10 3. Jewish 31 7. Other 8. DK;RF 9. NA 1430 0. Inap, 1,8,9 in X1; 5,8,9 in X1a ============================== VAR V960583 NUMERIC X4 IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT CONSIDERS SELF PROTESTANT OR 'OTHER': / IF R ATTENDS SERVICES AS PROTESTANT 'OTHER': What church or denomination is that? ----------------------------------------------------------- 320 1. Baptist 43 2. Episcopalian/Anglican/Church of England 96 3. Lutheran 146 4. Methodist 8 5. 'Just Protestant' 60 6. Presbyterian 5 7. Reformed 3 8. Brethren 6 9. Evangelical United Brethren 52 10. 'Christian' or 'just Christian' 2 11. Christian Scientist 22 12. Church (or Churches) of Christ 9 13. United Church of Christ 3 14. Disciples of Christ 19 15. Church of God 24 16. Assembly of God 8 17. Congregationalist 10 18. Holiness 31 19. Pentacostal 1 20. Friends, Quaker 3 21. Orthodox, e.g. Greek, Russian (specify) 40 22. Non-denominational-- protestant 13 23. Mormons 13 24. Jehovah's Witnesses 3 25. Latter Day Saints 9 26. Unitarian/Universalist 5 27. Buddhist 2 28. Hindu 3 29. Muslim/Islam 2 30. Native American 69 97. Other (specify) 98. DK 3 99. NA 681 00. Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/X3b; ============================== VAR V960584 NUMERIC X4a IF R DENOMINATION IS BAPTIST: With which Baptist group is your church associated? (Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group?) ----------------------------------------------------------- 170 1. Southern Baptist Convention 23 2. American Baptist Churches in USA 12 3. American Baptist Association 54 4. Independent Baptist 33 7. Other (specify) 8. DK 9. NA 1394 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 2-30,97-99 in X4 ============================== VAR V960585 NUMERIC X4b IF R'S DENOMINATION IS BAPTIST: IF R'S CHURCH IS INDEPENDENT BAPTIST: Are you affiliated with any larger Baptist group or is this strictly a local church? ----------------------------------------------------------- 4 1. Larger Baptist group (specify) 50 2. Local 8. DK 9. NA 1660 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 2-30,97-99 in X4; 1,2,3,7,8,9 in X4a ============================== VAR V960586 NUMERIC X4c IF R DENOMINATION IS LUTHERAN: Is this church part of the Evangelical Lutheran Church in American, the Missouri Synod, or some other Lutheran group? ----------------------------------------------------------- 48 1. Evangelical Lutheran Church 25 2. Missouri Synoc 18 7. Other (specify) 8. DK 9. NA 1618 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1,2,4-30,97-99 in X4 ============================== VAR V960587 NUMERIC X4d IF R DENOMINATION IS METHODIST: Is your church part of the United Methodist Church, African Methodist Episcopal, or some other Methodist group? ----------------------------------------------------------- 125 1. United Methodist Church 13 2. African Methodist Episcopal 7 7. Other (specify) 8. DK 9. NA 1568 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-3, 5-30, 97-99 in X4 ============================== VAR V960588 NUMERIC X4e IF R DENOMINATION IS PRESBYTERIAN: Is this the Presbyterian Church in the USA or some other Presbyterian group? ----------------------------------------------------------- 48 1. Presbyterian Church USA (formerly United Presbyterian Church) 11 7. Other (specify) 8. DK 9. NA 1654 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-5, 7-30, 97-99 in X4 ============================== VAR V960589 NUMERIC X4f IF R DENOMINATION IS REFORMED CHURCH: Is this the Christian Reformed Church, the Reformed Church in America or some other Reformed group? ----------------------------------------------------------- 2 1. Christian Reformed Church 2 2. The Reformed Church in America 1 7. Other (specify) 8. DK 9. NA 1709 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-6, 8-30, 97-99 in X4 ============================== VAR V960590 NUMERIC X4g IF R'S DENOMINATION IS BRETHREN: Is this the Church of the Brethren, the Plymouth Brethren, or what? ----------------------------------------------------------- 1. Church of the Brethren 1 2. The Plymouth Brethren 1 7. Other (specify) 8. DK 9. NA 1711 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-7, 9-30, 97-99 in X4 ============================== VAR V960591 NUMERIC X4h IF R SAYS DENOMINATION IS 'JUST CHRISTIAN': When you say "Christian" does that mean the denomination called the "Christian Church Disciples of Christ," or some other Christian denomination, or do you mean to say "I am just a Christian"? ----------------------------------------------------------- 14 1. Disciples of Christ 35 2. I am just a Christian 2 7. Other (specify) 8. DK 9. NA 1662 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-9,11-30, 97-99 in X4 ============================== VAR V960592 NUMERIC X4i IF R DENOMINATION IS CHURCH OF CHRIST: Is this the Church of Christ or the United Church of Christ? ----------------------------------------------------------- 22 1. Church of Christ 2. United Church of Christ 8. DK 9. NA 1692 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-11, 13-30, 97-99 in X4 ============================== VAR V960593 NUMERIC X4j IF R DENOMINATION IS CHURCH OF GOD: Is this the Church of God of Anderson, Indiana; the Church of God of Cleveland, Tennessee; the Church of God in Christ; or some other Church of God? ----------------------------------------------------------- 3 1. Of Anderson, Indiana 8 2. Of Cleveland, Tennessee 3 3. Church of God in Christ 4 7. Other (specify) 8. DK 9. NA 1695 0. Inap, 8,9 in X1; 2,3,,8,9 in X3a/b; 1-14, 16-30, 97- 99 in X4 ============================== VAR V960594 CHARACTER X4k IF R'S DENOMINATION IS HOLINESS OR PENTACOSTAL: What kind of church is that? What is it called exactly? Is that part of a larger church or denomination? What is that church called? ----------------------------------------------------------- (Interviewer note: THESE QUESTIONS ARE PROBES. USE THESE AND OTHERS TO GET AS MUCH SPECIFIC INFORMATION AS POSSIBLE) Q.X4k field is blank. The open-ended responses have been hand-coded into the religion summary variable, X10 but the actual response texts have been deleted. 0. Inap, 8,9 in X1; 5,8,9 in X1a; 2,3,8,9 in X3a/b; 1-17, 20-30, 97-99 in X4 ============================== VAR V960595 CHARACTER X4kx IF R'S DENOMINATION SPECIFIES 'OTHER' IN X4a-X4k: OTHER (SPECIFY) GROUPS: ----------------------------------------------------------- Q.X4kx field is blank. Open-ended responses coded as 'other' in X4a-X4k have been hand-coded into the religion summary var X10 but actual response texts have been deleted. ============================== VAR V960596 CHARACTER X4m IF R DOES NOT IDENTIFY A DENOMINATION IN X4: What is it called exactly? Is that church part of a denomination? ----------------------------------------------------------- (Interviewer note: USE ANY OR ALL AS NECESSARY; GET AS MUCH DETAIL AS POSSIBLE). Q.X4m field has been blanked. Open-ended responses coded as 'other' in X4 have been hand-coded into the religion summary var X10 but actual response texts have been deleted. 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-30, 98-99 in X4 ============================== VAR V960597 NUMERIC X4m(1) IF R CONSIDERS SELF/ ATTENDS SERVICES AS PROTESTANT OR 'OTHER': / IF R DOES NOT IDENTIFY A DENOMINATION IN X4: IF R HAS NOT ALREADY IDENTIFIED SELF AS CHRISTIAN: (IF NECESSARY:) Is that group Christian? ----------------------------------------------------------- 19 1. Yes 6 5. No 8. DK 9. NA 1689 0. Inap, 8,9 in X1; 2,3,8,9 in X3a/b; 1-30, 98,99 in X4; 97 in X4 and 1 in X3a/X3b ============================== VAR V960598 NUMERIC X6a/b IF R ATTENDS JEWISH RELIGIOUS SERVICES: / IF R DOES NOT ATTEND RELIGIOUS SERVICES BUT CONSIDERS SELF JEWISH: a. Do you usually attend a synagogue or temple that is ORTHODOX, CONSERVATIVE, REFORM or what? b. Do you consider yourself ORTHODOX, CONSERVATIVE, REFORM, or what? ----------------------------------------------------------- 1 1. Orthodox 8 2. Conservative 16 3. Reform 6 7. Other (specify) 8. DK 9. NA 1682 0. Inap, 1,2,7,8,9 in X3a/X3b ============================== VAR V960599 NUMERIC X7 IF R ATTENDS RELIGIOUS SERVICES: IF R THINKS OF SELF AS PART OF A CHURCH OR DENOMINATION: Are you officially a member of a parish, congregation, temple or other place of worship? ----------------------------------------------------------- 973 1. Yes 520 5. No 8. DK 9. NA 218 0. Inap, 8,9 in X1; 5,8,9 in X1a ============================== VAR V960600 NUMERIC X8 IF R IS CHRISTIAN: (Please look at page 19 of the booklet.) Which one of these words BEST describes your kind of Christianity, Fundamentalist, Evangelical, Charismatic or Spirit-Filled, Moderate to Liberal? ----------------------------------------------------------- 173 1. Fundamentalist 266 2. Evangelical 276 3. Charismatic or spirit filled 605 4. Moderate to liberal 61 5. Something else (specify) [VOL] 8. DK 9. NA 274 0. Inap, 8,9 in X1; 8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) ============================== VAR V960601 NUMERIC X9 IF R IS CHRISTIAN: (Not using the booklet.) Would you call yourself a born-again Christian, that is, have you personally had a conversion experience related to Jesus Christ? ----------------------------------------------------------- 556 1. Yes 869 5. No 8. DK 9. NA 274 0. Inap, 8,9 in X1; 8,9 in X1a; 3,8,9 in X3a/X3b; 27-30 in X4; 5,8,9 in X4m(1) ============================== VAR V960602 NUMERIC X10 RELIGION SUMMARY ----------------------------------------------------------- See the RELIGION master code. This variable summarizes the information gathered in questions X3a/b, X4, X4a-m, X4m(1), X6a/b. Information collected in the open-ended responses to the religion section component questions have been hand coded into this summary variable. Codes followed by * have been newly added in 1996. Codes 010-997 and: 998. DK/refused (8 in X1, 8 in X1a, 8 in X3a/b, 98 in X4) 999. NA (9 in X1, 9 in X1a, 9 in X3a/b, 99 in X4) 000. Inap, no religious identification or preference (and R does not attend), 5 in X1a ============================== VAR V960603 NUMERIC Y1a What is the month, day and year of your birth? (MONTH) ----------------------------------------------------------- Month 1-12 and: 161 1. January 162 2. February 135 3. March 116 4. April 146 5. May 130 6. June 136 7. July 142 8. August 160 9. September 152 10. October 138 11. November 133 12. December 97. DK 3 98. Refused 99. NA ============================== VAR V960604 NUMERIC Y1c What is the month, day and year of your birth? (YEAR) ----------------------------------------------------------- Actual year was coded, and: 9997. DK 9998. Refused 9999. NA ============================== VAR V960605 NUMERIC Y1x [What is the month, day and year of your birth?] R'S AGE ----------------------------------------------------------- Built from Y1a-Y1b. Month and year of R's birth was subtracted from month and year of interview. If year of birth was NA or refused but age of respondent was given by informant in the household listing, then age from household listing was used. Age 18-96 and: 97. 97 years or more 98. Refused 99. NA; DK 00. Inap, 9999 in Y1c ============================== VAR V960606 NUMERIC Y2 Are you married now and living with your (husband/wife)-- or are you widowed, divorced, separated, or have you never married? ----------------------------------------------------------- 930 1. Married 189 2. Widowed 217 3. Divorced 49 4. Separated 313 5. Never married 15 6. Partners, not married [VOL] 9. NA; RF ============================== VAR V960607 NUMERIC Y3 What is the highest grade of school or year of college you have completed? ----------------------------------------------------------- Grade 0-17 and: 17. 17 or more 98. DK 99. NA; RF ============================== VAR V960608 NUMERIC Y3a IF R HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did you get a high school diploma or pass a high school equivalency test? ----------------------------------------------------------- 548 1. Yes 230 5. No 8. DK 9. NA; RF 936 0. Inap, 13-17, 98,99 in Y3 ============================== VAR V960609 NUMERIC Y3b IF R HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that you have earned? ----------------------------------------------------------- 306 1. Bachelor's degree 121 2. Master's degree 22 3. PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 11 4. LLB, JD 10 5. MD, DDS, DVM, MVSA, DSC, DO 6. JSC, STD, THD 156 7. Associate degree (AA) 307 96. No degree earned 98. DK 2 99. NA 779 00. Inap, 0-12, 98,99 in Y3 ============================== VAR V960610 NUMERIC Y3x SUMMARY - R'S EDUCATION ----------------------------------------------------------- Built from Y3, Y3a, Y3b. 73 1. 8 grades or less and no diploma or equivalency [0-8 in Y3, 5 in Y3a] 157 2. 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) [9-12 in Y3, 5 in Y3a] 548 3. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 307 4. More than 12 years of schooling, no higher degree (13-17 in Q.Y3 and 96 in Q.Y3b) 156 5. Junior or community college level degrees (AA degrees) (07 in Q.Y3b) 306 6. Ba level degrees; 17+ years, no advanced degree 164 7. Advanced degree, including LLB [13-17 in Y3, 2-6 in Y3b] 8. DK [98 in Y3, 8 in Y3a; 98 in Y3b] 3 9. NA [99 in Y3; 9 in Y3a; 99 in Y3b] ============================== VAR V960611 NUMERIC Y5 IF R IS MARRIED OR PARTNERED: What is the highest grade of school or year of college (your husband/your wife/your partner) has completed? ----------------------------------------------------------- Grade 0-16 and: 17. 17 years or more 98. DK 99. Inap, 2-5,9 in Y2; NA; RF ============================== VAR V960612 NUMERIC Y5a IF SPOUSE/PARTNER HAS COMPLETED FEWER THAN 13 YEARS OF EDUCATION: Did (he/she) get a high school diploma or pass a high school equivalency test? ----------------------------------------------------------- 340 1. Yes 111 5. No 8. DK 9. NA 1259 0. Inap, 2-5,9 in Y2; 13-17, 98,99 in Y5 ============================== VAR V960613 NUMERIC Y5b IF SPOUSE/PARTNER HAS COMPLETED MORE THAN 12 YEARS OF EDUCATION: What is the highest degree that(he/she) has earned? ----------------------------------------------------------- 172 1. Bachelor's degree 67 2. Master's degree 17 3. PHD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 5 4. LLB, JD 6 5. MD, DDS, DVM, MVSA, DSC, DO 6. JSC, STD, THD 83 7. Associate degree (AA) 122 96. No degree earned 98. DK 2 99. NA 1236 00. Inap, 2-5,9 in Y2; 0-12, 98, 99 in Y5 ============================== VAR V960614 NUMERIC Y5x SUMMARY - SPOUSE/PARTNER'S EDUCATION ----------------------------------------------------------- Built from Y5, Y5a, Y5b. 37 1. 8 grades or less and no diploma or equivalency [0-8 in Y5, 5 in Y5a] 74 2. 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) [9-12 in Y5, 5 in Y5a] 340 3. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 122 4. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 83 5. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 172 6. High school diploma or equivalency test [0-12 in Y5, 1 in Y5a] 95 7. Advanced degree, including LLB [13-17 in Y5, 2-6 in Y5b] 0. Inap, 2-5,9 in Y2 8. DK [98 in Y5; 8 in Y5a; 98 in Y5b] 774 9. NA [99 in Y5; 9 in Y5a; 98 in Y5b] ============================== VAR V960615 NUMERIC Y6 Please look at page 20 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) R EMPLOYMENT STATUS SUMMARY ----------------------------------------------------------- Built from Y6 and Y7e, Y12g, Y14g, Y15. Questions about R's employment (past and/or current) in the Y employment section applied to status in Y6 as follows. Y7 series (current emp.) - 10,15,16,17,18,20,51,61,71,81 Y11,Y11a, and Y12 series (past emp.) - 15,50,51 Y13 and Y14 series (past emp.) - 16,60,61 Y15,Y15a, and Y16 series (past em. in recent 6 months) - 17,18,70,71,75,80,81 Y9 and Y10 series (past employment) - 40 993 10. WORKING NOW only 15 15. WORKING NOW and retired (R volunteers), currently working 20 or more hours per week 1 16. WORKING NOW and permanently disabled, currently working 20 or more hours per week 43 17. WORKING NOW and homemaker (R volunteers), currently working 20 or more hours per week 42 18. WORKING NOW and student (R volunteers), currently working 20 or more hours per week 15 20. TEMPORARILY LAID OFF 43 40. UNEMPLOYED 317 50. RETIRED, no other occupation 20 51. RETIRED and working now (R volunteers), currently working fewer than 20 hours per week 59 60. PERMANENTLY DISABLED, not working 1 61. PERMANENTLY DISABLED and working now, currently working fewer than 20 hours per week 97 70. HOMEMAKER, no other occupation 19 71. HOMEMAKER and working now (R volunteers), currently working fewer than 20 hours per week 5 75. HOMEMAKER and student (R volunteers), no other occupation 32 80. STUDENT, no other occupation 12 81. STUDENT and working now (R volunteers), currently working fewer than 20 hours per week 99. NA ============================== VAR V960616 NUMERIC Y6x Please look at page 20 of the booklet. We'd like to know if YOU are working now, temporarily laid off, or are you unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SUMMARY - R EMPLOYMENT STATUS ----------------------------------------------------------- Built from Y6. 1094 1. R WORKING NOW (working now or working 20 hours or more per week if also retired, permanently disabled, homemaker or student) [10, 15-18 in Y6] 15 2. R TEMPORARILY LAID OFF [20 in Y6] 43 4. R UNEMPLOYED [40 in Y6] 337 5. R RETIRED, not working or working fewer than 20 hours per week [50,51 in Y6] 60 6. R PERMANENTLY DISABLED, not working or working fewer than 20 hours per week [50,51 in Y6] 121 7. R HOMEMAKER, not working or working fewer than 20 hours per week (also nonworking Rs who are both student and homemaker) [50,51 in Y6] 44 8. R STUDENT, not working or working fewer than 20 hours per week ([50,51 in Y6] 9. NA ============================== VAR V960617 NUMERIC Y9 IF R IS UNEMPLOYED: Have you ever done any work for pay? ----------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. 43 1. Yes 5. No 8. DK 9. NA 1671 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR V960618 NUMERIC Y10/Y10a IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR V960619 NUMERIC Y10x(1) IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: CENSUS OCCUPATION, COLLAPSED ----------------------------------------------------------- The stacked version of this question is at RC2, at end of R employment section. Built from Y10, Y10a. 1980 Census major group categories, collapsed from full categories in Y10/Y10a. 7 1. Executive, Administrative and Managerial (Census categories 001-039) 2 2. Professional Specialty Occupations (Census categories 040-199) 2 3. Technicians and Related Support Occupations (Census categories 200-235) 4 4. Sales Occupation (Census categories 236-285) 4 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 1 7. Protective Service (Census categories 408-427) 13 8. Service except Protective and Household (Census categories 428-469) 1 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 5 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 1 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 1 12. Transportation and Material Moving Occupations (Census categories 800-859) 2 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 1671 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR V960620 NUMERIC Y10x(2) IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9; 98,99 in Y10/Y10a ============================== VAR V960621 NUMERIC Y10b IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9 ============================== VAR V960622 NUMERIC Y10c IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 36 1. Someone else 2 2. Both someone else and self 5 3. Self employed 8. DK 9. NA 1671 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR V960623 NUMERIC Y10d IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 8 1. Yes 30 5. No 8. DK 9. NA 1676 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9; 3,8,9 in Y10c ============================== VAR V960624 NUMERIC Y10e IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? ----------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 20 1. Yes 23 5. No 8. DK 9. NA 1671 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR V960625 NUMERIC Y10f IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED FOR PAY IN THE LAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: 97. 97 or more hours 98. DK 99. Na 00. Inap, 10,15,16,17,18,20,50,51,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y10e ============================== VAR V960626 NUMERIC Y10g IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: Are you looking for work at the present time? ----------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 31 1. Yes 12 5. No 8. DK 9. NA 1671 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR V960627 NUMERIC Y10h IF R IS UNEMPLOYED: IF R HAS EVER WORKED FOR PAY: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 12 1. A lot 14 2. Somewhat 17 3. Not much at all 8. DK 9. NA 1671 0. Inap, 10, 15, 16, 17, 18, 20, 50, 51, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR V960628 NUMERIC Y11 IF R IS RETIRED: When did you retire? (MONTH) ----------------------------------------------------------- 51 1. January 26 2. February 19 3. March 28 4. April 23 5. May 45 6. June 24 7. July 31 8. August 32 9. September 21 10. October 19 11. November 16 12. December 98. DK 1 99. NA; RF 1362 00. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y9 ============================== VAR V960629 NUMERIC Y11a IF R IS RETIRED: When did you retire? (YEAR) ----------------------------------------------------------- 4-digit year of retirement, And: 9998. DK 9999. NA 0000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR V960630 NUMERIC Y12/Y12a IF R IS RETIRED: Y12. What kind of work did you do on your last regular job? (What was your occupation)? Y12a. What were your most important duties or activities? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR V960631 NUMERIC Y12ax(1) IF R IS RETIRED: CENSUS OCCUPATION COLLAPSED ----------------------------------------------------------- Built from Y12, Y12a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categoris in Y12/Y12a. 60 1. Executive, Administrative and Managerial (Census categories 001-039) 55 2. Professional Specialty Occupations (Census categories 040-199) 9 3. Technicians and Related Support Occupations (Census categories 200-235) 27 4. Sales Occupation (Census categories 236-285) 53 5. Administrative Support, including clerical (Census categories 286-389) 6 6. Private Household (Census categories 403-407) 8 7. Protective Service (Census categories 408-427) 31 8. Service except Protective and Household (Census categories 428-469) 7 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 40 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 33 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 18 12. Transportation and Material Moving Occupations (Census categories 800-859) 1 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 3 14. Member of Armed Forces (Census category 900) 98. DK 1 99. NA 1362 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR V960632 NUMERIC Y12ax(2) IF R IS RETIRED: OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6; 98,99 in Y12/Y12a ============================== VAR V960633 NUMERIC Y12b IF R IS RETIRED: What kind of (business/industry) was that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6 ============================== VAR V960634 NUMERIC Y12c IF R IS RETIRED: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 304 1. Someone else 11 2. Both someone else and self 37 3. Self employed only 8. DK 9. NA 1362 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR V960635 NUMERIC Y12d IF R IS RETIRED: IF R DID NOT WORK EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 93 1. Yes 221 5. No 8. DK 9. NA 1399 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 3,8,9 in Y12c ============================== VAR V960636 NUMERIC Y12e IF R IS RETIRED: Have you had a job in the last SIX months? ----------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 44 1. Yes 308 5. No 8. DK 9. NA 1362 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR V960637 NUMERIC Y12f IF R IS RETIRED: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours worked, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. Inap, 10,16,17,18,20,40,60,61,70,71,75,80,81,99 in Y6; 5,8,9 in Y12e ============================== VAR V960638 NUMERIC Y12g IF R IS RETIRED: Are you doing any work for pay at the present time? ----------------------------------------------------------- 35 1. Yes 227 5. No 8. DK 90 9. NA 1362 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR V960639 NUMERIC Y12h IF R IS RETIRED: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: Are you looking for work at the present time? ----------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 10 1. Yes 307 5. No 8. DK 9. NA 1397 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g ============================== VAR V960640 NUMERIC Y12j IF R IS RETIRED: IF R IS NOT DOING ANY WORK FOR PAY AT PRESENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 6 1. A lot 9 2. Somewhat 301 3. Not much 8. DK 9. NA 1397 0. Inap, 10, 16, 17, 18, 20, 40, 60, 61, 70, 71, 75, 80, 81, 99 in Y6; 1 in Y12g ============================== VAR V960641 NUMERIC Y13 IF R IS DISABLED: Have you ever done any work for pay? ----------------------------------------------------------- The stacked version of this question is at RC11, at end of R employment section. 58 1. Yes 3 5. No 8. DK 9. NA 1653 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6 ============================== VAR V960642 NUMERIC Y14/Y14a IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Y14. What kind of work did you do on your last regular job? (What was your occupation) Y14a. What were your most important duties or activities? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR V960643 NUMERIC Y14ax(1) IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: R DISABLED - PAST OCCUPATION COLLAPSED ----------------------------------------------------------- Built from Y14, Y14a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categories in Y14/Y14a. 2 1. Executive, Administrative and Managerial (Census categories 001-039) 2 2. Professional Specialty Occupations (Census categories 040-199) 1 3. Technicians and Related Support Occupations (Census categories 200-235) 4 4. Sales Occupation (Census categories 236-285) 2 5. Administrative Support, including clerical (Census categories 286-389) 1 6. Private Household (Census categories 403-407) 1 7. Protective Service (Census categories 408-427) 18 8. Service except Protective and Household (Census categories 428-469) 5 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 5 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 9 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 5 12. Transportation and Material Moving Occupations (Census categories 800-859) 3 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 1656 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR V960644 NUMERIC Y14ax(2) IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: R DISABLED - PAST OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13; 98,99 in Y14/Y14a ============================== VAR V960645 NUMERIC Y14b IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: What kind of (business/industry) was that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13 ============================== VAR V960646 NUMERIC Y14c IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 50 1. Someone else 2 2. Both someone else and self 6 3. Self-employed 8. DK 9. NA 1656 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 ============================== VAR V960647 NUMERIC Y14d IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 9 1. Yes 43 5. No 8. DK 9. NA 1662 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 3,8,9 in Y14c ============================== VAR V960648 NUMERIC Y14e IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: Have you had a job in the last SIX months? ----------------------------------------------------------- The stacked version of this question is at RC9, at end of R employment section. 4 1. Yes 54 5. No 8. DK 9. NA 1656 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13 ============================== VAR V960649 NUMERIC Y14f IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Number of hours, 1-96 and: 97. 97 hours or more 98. DK 99. NA 00. Inap, 10,15,17,18,20,40,50,51,70,71,75,80,81,99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e ============================== VAR V960650 NUMERIC Y14g IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R HAS WORKED IN THE PAST 6 MONTHS: Are you doing any work for pay at the present time? ----------------------------------------------------------- 2 1. Yes 2 5. No 8. DK 9. NA 1710 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 5,8,9 in Y14e ============================== VAR V960651 NUMERIC Y14h IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R IS NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? ----------------------------------------------------------- The stacked version of this question is at RC10, at end of R employment section. 2 1. Yes 54 5. No 8. DK 9. NA 1658 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g ============================== VAR V960652 NUMERIC Y14j IF R IS DISABLED: IF R HAS EVER WORKED FOR PAY: IF R IS NOT CURRENTLY WORKING : How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 15 1. A lot 3 2. Somewhat 38 3. Not much 8. DK 9. NA 1658 0. Inap, 10, 15, 17, 18, 20, 40, 50, 51, 70, 71, 75, 80, 81, 99 in Y6; 5,8,9 in Y13; 1 in Y14g ============================== VAR V960653 NUMERIC Y15 IF R IS HOMEMAKER/STUDENT: Are you doing ANY work for pay at the present time? ----------------------------------------------------------- 116 1. Yes 134 5. No 8. DK 9. NA 1464 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6 ============================== VAR V960654 NUMERIC Y15a IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: In the last six months, did you do any work for pay? ----------------------------------------------------------- 34 1. Yes 98 5. No 8. DK 2 9. NA 1580 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 ============================== VAR V960655 NUMERIC Y16/Y16a IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Y16. What kind of work did you do on your last regular job? (What was your occupation) Y16a. What were your most important duties or activities? ----------------------------------------------------------- The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR V960656 NUMERIC Y16ax(1) IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: CENSUS OCCUPATION, COLLAPSED ----------------------------------------------------------- Built from Y14, Y14a. 1980 Census major group categories, collapsed from Y16/Y16a. 1 1. Executive, Administrative and Managerial (Census categories 001-039) 4 2. Professional Specialty Occupations (Census categories 040-199) 1 3. Technicians and Related Support Occupations (Census categories 200-235) 1 4. Sales Occupation (Census categories 236-285) 10 5. Administrative Support, including clerical (Census categories 286-389) 1 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 1 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 4 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 1 12. Transportation and Material Moving Occupations (Census categories 800-859) 2 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of Armed Forces (Census category 900) 98. DK 99. NA 1680 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR V960657 NUMERIC Y16ax(2) IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 00000. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a; 98,99 in Y16/Y16a ============================== VAR V960658 NUMERIC Y16b IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: What kind of (business/industry) was that? ----------------------------------------------------------- See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR V960659 NUMERIC Y16c IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: Did you work for someone else, were you self-employed, or what? ----------------------------------------------------------- 33 1. Someone else 2. Both someone else and self 1 3. Self-employed 8. DK 9. NA 1680 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR V960660 NUMERIC Y16d IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: IF R WORKED NOT EXCLUSIVELY FOR SELF: Were you employed by a federal, state, or local government? ----------------------------------------------------------- 5 1. Yes 28 5. No 8. DK 9. NA 1681 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15; 5,8,9 in Y15a; 3,8,9 in Y16c ============================== VAR V960661 NUMERIC Y16f IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: IF R HAS WORKED IN PAST 6 MONTHS: About how many hours did you work on your job in the average week? ----------------------------------------------------------- Number of hours worked 1-96 and: 97. 97 hours or more 98. DK 99. NA 00. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15; 5,8,9 in Y15a ============================== VAR V960662 NUMERIC Y16h IF R IS HOMEMAKER/STUDENT: IF R IS NOT WORKING FOR PAY AT PRESENT: Are you looking for work at the present time? ----------------------------------------------------------- 26 1. Yes 105 5. No 8. DK 2 9. NA 1580 0. Inap, 10,15,16,20,40,50,51,60,61,99 in Y6; 1 in Y15 ============================== VAR V960663 NUMERIC Y16j IF R IS HOMEMAKER/STUDENT: How worried are you about not being able to find a job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- 27 1. A lot 17 2. Somewhat 88 3. Not much 8. DK 2 9. NA 1580 0. Inap, 10, 15, 16, 20, 40, 50, 51, 60, 61, 99 in Y6; 1 in Y15 ============================== VAR V960664 NUMERIC Y7/Y7a IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Y7. What is your main occupation? (What sort of work do you do?) Y7a. What are your most important activities or duties? ----------------------------------------------------------- The stacked version of this question is at RC1, at end of R employment section. The original 3-digit 1980 Census Occupation variable has been recoded into 71 subgroups, in order to protect respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See 1980 CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960665 NUMERIC Y7ax(1) IF R IS WORKING NOW/ TEMPORARILY LAID OFF: CURRENT CENSUS OCCUPATION, COLLAPSED ----------------------------------------------------------- Built from Y7, Y7a. The stacked version of this question is at RC2, at end of R employment section. 1980 Census major group categories, collapsed from full categories in Y7,Y7a. 169 1. Executive, Administrative and Managerial (Census categories 001-039) 248 2. Professional Specialty Occupations (Census categories 040-199) 38 3. Technicians and Related Support Occupations (Census categories 200-235) 118 4. Sales Occupation (Census categories 236-285) 162 5. Administrative Support, including clerical (Census categories 286-389) 12 6. Private Household (Census categories 403-407) 14 7. Protective Service (Census categories 408-427) 119 8. Service except Protective and Household (Census categories 428-469) 17 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 121 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 76 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 38 12. Transportation and Material Moving Occupations (Census categories 800-859) 22 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 4 14. Member of Armed Forces (Census category 900) 98. DK 3 99. NA 553 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960666 NUMERIC Y7ax(2) IF R IS WORKING NOW/ TEMPORARILY LAID OFF: CURRENT OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- The stacked version of this question is at RC3, at end of R employment section. Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James A. Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-univeristy Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES project staff for information about a procedure by which it is possible to gain access to this data. 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 98, 99 in Y7/Y7a ============================== VAR V960667 NUMERIC Y7b IF R IS WORKING NOW/ TEMPORARILY LAID OFF: What kind of (business/industry) is that? ----------------------------------------------------------- The stacked version of this question is at RC4, at end of R employment section. See 1980 CENSUS INDUSTRY Master Code. Codes 10-932 and: 998. DK 999. NA 000. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960668 NUMERIC Y7c IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Do you work for someone else, are you self-employed, or what? ----------------------------------------------------------- The stacked version of this question is at RC5, at end of R employment section. 983 1. Someone else 31 2. Both someone else and self 147 3. Self employed 8. DK 9. NA 553 0. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960669 NUMERIC Y7d IF R IS WORKING NOW/ TEMPORARILY LAID OFF: IF R DOES NOT WORK EXCLUSIVELY FOR SELF: Are you employed by a federal, state or local government? ----------------------------------------------------------- The stacked version of this question is at RC6, at end of R employment section. 245 1. Yes 766 5. No 8. DK 9. NA 700 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 3,8,9 in Y7c ============================== VAR V960670 NUMERIC Y7e IF R IS WORKING NOW/ TEMPORARILY LAID OFF: About how many hours do you work on your job in the average week? ----------------------------------------------------------- The stacked version of this question is at RC7, at end of R employment section. Codes 1-96 and: 97. 97 hours or more 98. DK 99. NA; RF 00. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960671 NUMERIC Y7f IF R IS WORKING NOW/ TEMPORARILY LAID OFF: Is that MORE hours than you want to work, FEWER hours than you want to work, or generally ABOUT RIGHT? ----------------------------------------------------------- 367 1. More 96 2. Fewer 692 3. About right 8. DK 1 9. NA; RF 558 0. Inap, 40, 50, 60, 70, 75, 80 in Y6; 98,99 in Y7e ============================== VAR V960672 NUMERIC Y7g IF R IS WORKING NOW/ TEMPORARILY LAID OFF: How worried are you about losing your job in the near future, A LOT, SOMEWHAT, or NOT MUCH AT ALL? ----------------------------------------------------------- The stacked version of this question is at RC8, at end of R employment section. 88 1. A lot 221 2. Somewhat 851 3. Not much at all 8. DK 1 9. NA; RF 553 0. Inap, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960673 NUMERIC Y7h IF R IS WORKING NOW, NOT TEMPORARILY LAID OFF: Were you out of work or laid off at any time during the last six months? ----------------------------------------------------------- 133 1. Yes 1010 5. No 8. DK 3 9. NA 568 0. Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960674 NUMERIC Y7j IF R IS WORKING NOW, NOT TEMPORARILY LAID OFF: During the last six months, have you had a reduction in your work hours or had to take a cut in pay at any time for reasons other than illness or personal choice? ----------------------------------------------------------- 114 1. Yes 1028 5. No 8. DK 3 9. NA 568 0. Inap, 20, 40, 50, 60, 70, 75, 80 in Y6 ============================== VAR V960675 NUMERIC RC1 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R CENSUS OCCUPATION CODE ----------------------------------------------------------- Built from Y7/Y7a, Y10/Y10a, Y12/Y12a, Y14/Y14a. This variable combines employment data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7/Y7a], - Unemployed [past emp. in Y10/Y10a], - Retired [past emp. in Y12/Y12a, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14/Y14a] Note that homemakers or students without current outside employment are coded 00 [Y16/Y16a data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7/Y7a coded here. Retirees who are also currently working have past occupation from Y12/Y12a coded here rather than current occupation in Y7/Y7a. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain acceess to the full 3-digit code values. See CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR V960676 NUMERIC RC2 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R COLLAPSED CENSUS OCCUPATION CODE ----------------------------------------------------------- This variable combines employment data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7ax(1)], - Unemployed [past employment in Y10ax(1)], - Retired [past emp. in Y12ax(1), whether R is currently working or not], - Permanently disabled, not working [past emp in Y14ax(1)] Note that homemakers or students without current outside employment are coded 00 [Y16ax(1) data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7ax(1) coded here. Retirees who are also currently working have past occupation from Y12ax(1) coded here rather than current occupation in Y7ax(1). 1980 Census Major Group categories, collapsed from full categories. 235 1. Executive, Administrative and Managerial (Census categories 001-039) 298 2. Professional Specialty Occupations (Census categories 040-199) 50 3. Technicians and Related Support Occupations (Census categories 200-235) 147 4. Sales Occupation (Census categories 236-285) 216 5. Administrative Support, including clerical (Census categories 286-389) 18 6. Private Household (Census categories 403-407) 23 7. Protective Service (Census categories 408-427) 176 8. Service except Protective and Household (Census categories 428-469) 29 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 170 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 119 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 60 12. Transportation and Material Moving Occupations (Census categories 800-859) 26 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 7 14. Member of armed forces (900) 98. DK 3 99. NA 137 00. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR V960677 NUMERIC RC3 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What is/was your main occupation? What sort of work do/did you do? What are/were your most important activities or duties? STACKED- R PRESTIGE SCORE ----------------------------------------------------------- Built from Y7ax(2), Y10ax(2), Y12ax(2), Y14ax(2). This variable combines employment data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7ax(2)], - Unemployed [past emp. in Y10ax(2)], - Retired [past emp. in Y12ax(2), whether R is currently working or not], - Permanently disabled, not working [past emp in Y14ax(2)] Note that homemakers or students without current outside employment are coded 0 [Y16ax(2) data are NOT used]. The disabled and homemakers or students who are also currently working have their current occupation from Y7ax(2) coded here. Retirees who are also currently working have past occupation from Y12ax(2) coded here rather than current occupation in Y7ax(2). NOTE: Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James a Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 98,99 in Y7/Y7a, Y10/Y10a, Y12/Y12a, or Y14/Y14a ============================== VAR V960678 NUMERIC RC4 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / What do/did they make or do where you work/ed? What kind of a business or industsry is/was that? STACKED- R CENSUS INDUSTRY CODE ----------------------------------------------------------- Built from Y7b, Y10b, Y12b, Y14b. This variable combines industry data for all Rs who are currently: - Employed or temp. laid off [current industry in Y7b], - Unemployed [past industry in Y10b], - Retired [past industry in Y12b, whether R is currently working or not], - Permanently disabled, not working [past industry in Y14b] Note that homemakers or students without current outside employment are coded 000 [Y16b data are NOT used]. The disabled and homemakers or students who are also currently working have industry data for their current occupation from Y7b coded here. Retirees who are also currently working have industry data for past occupation from Y12b coded here rather than for current occupation in Y7b. See CENSUS INDUSTRY Master Code. Codes 010-990 and: 998. DK 999. NA 000. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR V960679 NUMERIC RC5 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: / Do/did you work for someone else, are/were you self- employed, or what? STACKED- R SELF EMPLOYED ----------------------------------------------------------- Built from Y7c, Y10c, Y12c, Y14c. This variable combines data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7c], - Unemployed [past emp. in Y10c], - Retired [past emp. in Y12c, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14c] Note that homemakers or students without current outside employment are coded 0 [Y16c data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7c coded here. Retirees who are also currently working have data for past occupation from Y12c coded here rather than for current occupation in Y7c. 1341 1. Someone else 45 2. Both someone else and self 191 3. Self-employed 8. DK 9. NA 137 0. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR V960680 NUMERIC RC6 IF R WORKS/WORKED NOT EXCLUSIVELY FOR SELF and: R IS WORKING NOW OR TLO/ : R IS RETIRED: / R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / R IS DISABLED AND HAS EVER WORKED FOR PAY: Are/were you employed by a federal, state or local government? STACKED- R EMPLOYED BY GOVERNMENT ----------------------------------------------------------- Built from Y7d, Y10d, Y12d, Y14d. This variable combines data for all Rs who are currently: - Employed or temp. laid off [current emp. in Y7d], - Unemployed [past emp. in Y10d], - Retired [past emp. in Y12d, whether R is currently working or not], - Permanently disabled, not working [past emp. in Y14d]. Note that homemakers or students without current outside employment are coded 0 [Y16d data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7d coded here. Retirees who are also currently working have data for past occupation from Y12d coded here rather than for current occupation in Y7d. 347 1. Yes 1035 5. No 8. DK 9. NA 328 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y7c, Y10c, Y12c or Y14c ============================== VAR V960681 NUMERIC RC7 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS UNEMPLOYED BUT HAS WORKED IN PAST 6 MONTHS: / IF R IS DISABLED BUT HAS WORKED IN PAST 6 MONTHS: / About how many hours do/did you work on your job in the average week? STACKED- HOURS R WORKS/WORKED PER WEEK ----------------------------------------------------------- Built from Y7e, Y10f, Y12f, Y14f. This variable combines data for all Rs who have worked within the past six months and who are currently: - Employed or temp. laid off [present emp. in Y7e], - Unemployed [emp. within past 6 months in Y10f], - Retired [emp. within past 6 months in Y12f], - Permanently disabled [emp. within past 6 months in Y14f]. Note that homemakers or students without current outside employment are coded 00 [Y16f data are NOT used]. The disabled and homemakers or students who are also currently working have data for their current occupation from Y7e coded here. For retirees, since data for number of hours worked describes recent employment within past 6 months, this may in effect describe pre-retirement employment (e.g. very recent retirees), current employment (e.g. working retirees continuing a post-retirement job), or employment that is neither pre-retirement nor a current job. Number of hours worked, 1-96 and: 97. 97 or more hours 98. DK 99. NA 00. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 3,8,9 in Y10e, Y12e or Y14e ============================== VAR V960682 NUMERIC RC8 IF R IS WORKING NOW OR TLO/ : IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED: / IF R IS DISABLED AND NOT CURRENTLY WORKING: / How worried are you about losing your job/ not being able to find a job in the near future: a lot, somewhat, or not much at all? STACKED- R WORRIED ABOUT FINDING/LOSING JOB ----------------------------------------------------------- Built from Y7g, Y10h, Y12j, Y14j. This variable combines data for all Rs who are currently: - Employed or temp. laid off [Y7g], (including working retired and working disabled) - Unemployed [Y10h], - Retired and not working [Y12j], - Permanently disabled and not working [Y14j]. Note that homemakers or students without current outside employment are coded 0 [Y16j data are NOT used]. 121 1. A lot 247 2. Somewhat 1207 3. Not much at all 8. DK 1 9. NA 137 0. Inap, 70, 75, 80, 99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR V960683 NUMERIC RC9 IF R IS RETIRED: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED AND HAS EVER WORKED FOR PAY: Have you had a job in the past 6 months? STACKED- HAS R HAD JOB IN LAST 6 MONTHS ----------------------------------------------------------- Built from Y10e, Y12e, Y14e. This variable combines data for all Rs who are currently: - Unemployed [Y10e], - Retired [Y12e], - Permanently disabled, if R has ever worked [Y14e] 68 1. Yes 385 5. No 8. DK 9. NA 1261 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13 ============================== VAR V960684 NUMERIC RC10 IF R IS RETIRED AND NOT CURRENTLY WORKING: / IF R IS UNEMPLOYED AND HAS EVER WORKED FOR PAY: / IF R IS DISABLED, HAS EVER WORKED FOR PAY, IS NOT CURRENTLY WORKING: Are you looking for work at the present time? STACKED- IS R LOOKING FOR WORK ----------------------------------------------------------- Built from Y10g, Y12h, Y14h. This variable combines data for all Rs who are currently: - Unemployed [Y10g], - Retired, if R is not currently working [Y12h], - Permanently disabled, if R has ever worked but is not currently working [Y14h]. 43 1. Yes 373 5. No 8. DK 9. NA 1298 0. Inap, 70,75,80,99 in Y6; 5,8,9 in Y9; 5,8,9 in Y13; 1 in Y12g; 1 in Y14g ============================== VAR V960685 NUMERIC RC11 IF R IS UNEMPLOYED: / IF R IS DISABLED: STACKED- HAS R EVER WORKED FOR PAY ----------------------------------------------------------- Built from Y9 and Y13. 101 1. Yes 3 5. No 8. DK 9. NA 1610 0. Inap, 10,15,17,18,20,50,51,70,71,75,80,81,99 in Y6 ============================== VAR V960686 NUMERIC Y17(1) IF R IS MARRIED OR PARTNERED: Please turn to page 20 of the booklet. We'd like to know about your (husband/wife/partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SPOUSE/ PARTNER EMPLOYMENT STATUS SUMMARY ----------------------------------------------------------- Built from Y17(1) and Y17c. The spouse employment status summary variables differ somewhat from previous years because number of hours of current employment was not consistently obtained (categories 15,16,17,18 here contain data formerly coded 15 and 51, 16 and 61, 17 and 71, 18 and 81). Y section questions apply to spouses/partners as follows: Y17a - 16, 40, 60 Y17b, Y7b(1) - 15, 50 Y17c, Y17d - 17, 18, 70, 75, 80 Y17e/f(1),Y17fx(1a), Y17fx(2a), Y17g(1), Y17h(1) - 10, 15, 16, 17, 18, 20, 40 (if ever worked), 50, 60 (if ever worked) Y17e/f(2), Y17fx(1b), Y17fx(2b), Y17g(2), Y17h(2) - 70/75/80 (if worked in past 6 months) 600 10. WORKING NOW only 12 15. WORKING NOW and retired (any number of hours) 16. WORKING NOW and permanently disabled, currently working 20 or more hours per week 24 17. WORKING NOW and homemaker (any number of hours) 17 18. WORKING NOW and student (any number of hours) 7 20. TEMPORARILY LAID OFF 14 40. UNEMPLOYED 120 50. RETIRED, not working 16 60. PERMANENTLY DISABLED, not working 121 70. HOMEMAKER, not working 4 75. HOMEMAKER and student (R volunteers), not working 6 80. STUDENT, not working 99. NA 769 00. Inap, 2,3,4,5,9 in Y2 ============================== VAR V960687 NUMERIC Y17(2) IF R IS MARRIED OR PARTNERED: Please turn to page 20 of the booklet. We'd like to know about your (husband/wife/partner). Is (he/she) working now, temporarily laid off, or is (he/she) unemployed, retired, permanently disabled, a homemaker, a student, or what? (MARK ALL THAT APPLY) SUMMARY - SPOUSE EMPLOYMENT STATUS ----------------------------------------------------------- Built from Y17(1). See note Y17(1). 653 1. R WORKING NOW (working now or working 20 hours or more per week if also retired, permanently disabled, homemaker or student) [10, 15-18 in Y6] 7 2. SPOUSE/PARTNER TEMPORARILY LAID OFF 14 4. SPOUSE/PARTNER UNEMPLOYED 120 5. SPOUSE/PARTNER RETIRED (may also be working) 16 6. R PERMANENTLY DISABLED, not working or working fewer than 20 hours per week [50,51 in Y6] 125 7. SPOUSE/PARTNER HOMEMAKER, not working 6 8. SPOUSE/PARTNER STUDENT, not working 9. NA 769 0. Inap, 2,3,4,5,9 in Y2 ============================== VAR V960688 NUMERIC Y17a IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED: Has (he/she) ever done any work for pay? ----------------------------------------------------------- 29 1. Yes 1 5. No 8. DK 9. NA; RF 1684 0. Inap, 2,3,4,5,9 in Y2; 10, 15, 17, 18, 20, 50, 70, 75, 80, 99 in Y17(1) ============================== VAR V960689 NUMERIC Y17b IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS RETIRED: When did (he/she) retire? MONTH ----------------------------------------------------------- 20 1. January 5 2. February 9 3. March 11 4. April 8 5. May 18 6. June 8 7. July 12 8. August 6 9. September 6 10. October 3 11. November 3 12. December 98. DK 16 99. NA; RF 1582 00. Inap, 2,3,4,5,9 in Y2; 10, 16, 17, 18, 20, 40, 60, 70, 75, 80, 99 in Y17(1) ============================== VAR V960690 NUMERIC Y17b(1) IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS RETIRED: When did (he/she) retire? YEAR ----------------------------------------------------------- 4-digit year of retirement, and: 9998. DK 9999. NA; RF 0000. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1) ============================== VAR V960691 NUMERIC Y17c IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS HOMEMAKER OR STUDENT: Is (he/she) doing any work for pay at the present time? ----------------------------------------------------------- 51 1. Yes 121 5. No 8. DK 9. NA; RF 1542 0. Inap, 2,3,4,5,9 in Y2; 10, 15, 16, 20, 40, 50, 60, 99 in Y17(1) ============================== VAR V960692 NUMERIC Y17d IF R IS MARRIED OR PARTNERED: IF SPOUSE/PARTNER IS HOMEMAKER OR STUDENT: IF SPOUSE/PARTNER IS NOT CURRENTLY WORKING FOR PAY: In the last six months, did (he/she) do any work for pay? ----------------------------------------------------------- 12 1. Yes 109 5. No 8. DK 9. NA 1593 0. Inap, 2,3,4,5,9 in Y2; 10, 15, 16, 20, 40, 50, 60, 99 in Y17(1); 1,8,9 in Y17c ============================== VAR V960693 NUMERIC Y17e/f(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? ----------------------------------------------------------- Occupation code data for nonworking homemaker/ student spouses (last 6 months) are found in Y17e/f(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17e/f(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The occupation codes which would have been otherwise assigned to these cases are, respectively, 30, 22,48,71. The original 3-digit 1980 US Census Occupation variable has been recoded into 71 subgroups, in order to protect Respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the full 3-digit code values. See CENSUS OCCUPATION Master Code. Codes 01-71 and: 98. DK 99. NA 00. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR V960694 NUMERIC Y17fx(1a) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? SPOUSE COLLAPSED CENSUS OCCUPATION CODE ----------------------------------------------------------- 1980 Census Major group categories, collapsed from full categories in Y17e/f(1). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17fx(1b) for employment within past 6 months]. Occupation code data for nonworking homemaker/ student spouses (last 6 months) are found in Y17fx(1b) The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The occupation codes which would have been otherwise assigned to these cases are, respectively, 5,5,10,14. 1. Executive, Administrative and Managerial (Census categories 001-039) 2. Professional Specialty Occupations (Census categories 040-199) 3. Technicians and Related Support Occupations (Census categories 200-235) 4. Sales Occupation (Census categories 236-285) 5. Administrative Support, including clerical (Census categories 286-389) 6. Private Household (Census categories 403-407) 7. Protective Service (Census categories 408-427) 8. Service except Protective and Household (Census categories 428-469) 9. Farming, Forestry and Fishing Occupations (Census categories 470-499) 10. Precision Production, Craft and Repair Occupations (Census categories 500-699) 11. Machine Operators, Assemblers and Inspectors (Census categories 700-799) 12. Transportation and Material Moving Occupations (Census categories 800-859) 13. Handlers, Equipment Cleaners, Helpers and Laborers (Census categories 860-890) 14. Member of armed forces (900) 98. DK 99. NA 00. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR V960695 NUMERIC Y17fx(2a) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : (Not using the booklet) What (is/was) (his/her) main occupation? What sort of work did (he/she) do? What (are/were) (his/her) most important activities or duties? SPOUSE OCCUPATION PRESTIGE SCORE ----------------------------------------------------------- Prestige score data for nonworking homemaker/ student spouses (last 6 months) are found in Y17fx(2b). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17fx(2b) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded NA in this variable. NOTE: Prestige scores are based on Occupational Prestige Ratings from the 1989 General Social Survey, by James a Davis, Robert W. Hodge, Keiko Nakao, Tom W. Smith, and Judith Treas (ICPSR 9593), Inter-University Consortium for Political and Social Research, Ann Arbor MI 48106, December 1991. Prestige Score data have been blanked out to preserve respondents' anonymity. Contact NES Project Staff for information about a procedure by which it is possible to gain access to the data. 00000. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR V960696 NUMERIC Y17g(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : What kind of (business/industry) (is/was) that? ----------------------------------------------------------- Industry data for nonworking homemaker/ student spouses (last 6 months) are found in Y17g(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17g(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The industry codes which would have been otherwise assigned to these cases are, respectively, 412,441,060,932 See CENSUS INDUSTRY Master Code. Codes 010-990 and: 998. DK 999. NA 000. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR V960697 NUMERIC Y17h(1) IF R IS MARRIED OR PARTNERED and: SPOUSE/PARTNER IS WORKING OR TLO / SPOUSE/PARTNER IS RETIRED / SPOUSE/PARTNER IS UNEMPLOYED OR DISABLED BUT HAS EVER WORKED : How many hours (does/did) (he/she) work in an average week? ----------------------------------------------------------- Hours worked data for nonworking homemaker/ student spouses (last 6 months)are found in Y17h(2). This variable represents PRESENT employment of spouses coded 10,17,18,20 in Y17(1), and represents PAST employment of spouses coded 15,16,40,50,60 in Y17(1). Rs coded 70,75,80 in Y17(1) are Inap [see Y17h(2) for employment within past 6 months]. The administration of spouse/partner employment questions differed from previous years in that a separate 'series' of questions was not administered for each employment status. Because a single set of questions describing R's occupation, industry, and hours of work was administered regardless of employment status, the traditional "stack" variables have not been constructed. However, for greater consistency with the "stack" format, there are 2 sets of variables representing questions Y17e/f, Y17fx(1), Y17fx(2), Y17g, Y17h, the first excluding occupation description information for nonworking homemakers/students who have worked in the last 6 months (but describing all others), and the second providing occupation data only for spouses in this category. "Stack" variables traditionally omitted this data. Note: if spouse was both currently working and retired or disabled, the interviewer may have asked (or the respondent may have preferred to respond) in terms of either current OR past employment for occupation description [Y17e/f, Y17fx(1),Y17fx(2)], industry description [Y17g], and number of hours worked [Y17h]. Reviewing the cases which fall into these employment status categories, it appears that most cases describe past employment, in conformity with employment descriptions for nonworking retirees/ disabled. However, cases 1945,2298,3161,3298 were ambiguous and have been coded 99 NA in this variable. The hours which which would have been otherwise assigned to these cases are, respectively, 40,40,50,20. Number of hours worked, 1-96 and: 97. Ninety-seven or more hours 98. DK 99. NA; RF 00. Inap, 2,3,4,5,9 in Y2; 10,16,17,18,20,40,60,70,75,80, 99 in Y17(1); 5,8,9 in Y17a ============================== VAR V960698 NUMERIC Y18 Do you or anyone else in this household belong to a labor union? ----------------------------------------------------------- 296 1. Yes 1413 5. No 8. DK 9. NA ============================== VAR V960699 NUMERIC Y18a IF R OR SOMEONE IN R'S HOUSEHOLD BELONGS TO LABOR UNION: Who is it that belongs? [CHECK ALL THAT APPLY] ----------------------------------------------------------- 175 11. Respondent only 67 12. Spouse only 22 13. Other household member only 27 21. R and spouse 3 22. R and other household member 2 23. Spouse and other household member 31. R, spouse and other household member 32. R and two or more other household members 33. Spouse and two or more other household members 99. NA 1418 00. Inap, 5,8,9 in Y18 ============================== VAR V960700 NUMERIC Y19 CHECKPOINT - IS R ONLY HOUSEHOLD MEMBER AGE 14 OR OLDER? ----------------------------------------------------------- 481 1. Yes 1233 5. No ============================== VAR V960701 NUMERIC Y20 IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: Please look at page 21 of the booklet and tell me the letter of the income group that includes the income of all members of your family living here in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] ----------------------------------------------------------- Rs who do not live with a family member age 14 or older were not asked this question. Their response to Y21 was duplicated in this variable. Note that in 53 cases, due to interviewer error in the Y19 checkpoint administration, the Y20 family income question was not administered although R was not the only household member aged 14 and older. These cases have been coded NA; their individual income data have not been duplicated here. Additional note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. 41 1. A. None or less than $2,999 35 2. B. $3,000-$4,999 42 3. C. $5,000-$6,999 46 4. D. $7,000-$8,999 34 5. E. $9,000-$9,999 36 6. F. $10,000-$10,999 23 7. G. $11,000-$11,999 35 8. H. $12,000-$12,999 27 9. J. $13,000-$13,999 34 10. K. $14,000-$14.999 48 11. M. $15,000-$16,999 68 12. N. $17,000-$19,999 44 13. P. $20,000-$21,999 70 14. Q. $22,000-$24,999 110 15. R. $25,000-$29,999 129 16. S. $30,000-$34,999 98 17. T. $35,000-$39,999 80 18. U. $40,000-$44,999 86 19. V. $45,000-$49,999 130 20. W. $50,000-$59,999 144 21. X. $60,000-$74,999 73 22. Z. $75,000-89,999 54 23. AA. $90,000-$104,999 77 24. BB. $105,000 and over 88. Refused 37 98. DK 53 99. NA 00. Inap, 1 in Y19 (these cases duplicated from Y20a/Y21) ============================== VAR V960702 NUMERIC Y20a/Y21 Y20a. IF R IS NOT ONLY HOUSEHOLD MEMBER 14 OR OLDER: / Y21. IF R IS ONLY HOUSEHOLD MEMBER 14 OR OLDER: Y20a.(Looking at page 21 of the booklet) Now we are interested in the income that you yourself received in 1995, not including any of the income received by (your spouse and) the rest of your family. Please look at this page and tell me the income you yourself had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. [IF UNCERTAIN: What would be your best guess?] Y21. Looking at page 21 of the booklet tell me the letter of the income group that includes the income you had in 1995 before taxes. This figure should include salaries, wages, pensions, dividends, interest, and all other income. ----------------------------------------------------------- Note: In 14 cases, interviewers entered responses where R's individual income (Y20a/Y21) was higher than family income (Y20) [case IDs 1134, 1239, 1287, 1420, 1615, 1649, 1703, 1809, 1950, 2287, 2302, 2304, 3250, 3361]. In some of these 14 cases, the response for family income and R income may have been provided or entered in the incorrect order. 144 1. A. None or less than 2,999 73 2. B. $3,000-4,999 67 3. C. $5,000-6,999 70 4. D. $7,000-8,999 48 5. E. $9,000-9,999 68 6. F. $10,000-10,999 43 7. G. $11,000-11,999 57 8. H. $12,000-12,999 31 9. J. $13,000-13,999 46 10. K. $14,000-14,999 71 11. M. $15,000-15,999 76 12. N. $17,000-19,999 67 13. P. $20,000-21,999 89 14. Q. $22,000-24,999 135 15. R. $25,000-29,999 117 16. S. $30,000-34,999 92 17. T. $35,000-39,999 73 18. U. $40,000-44,999 49 19. V. $45,000-49,999 65 20. W. $50,000-59,999 68 21. X. $60,000-74,999 35 22. Z. $75,000-89,999 20 23. AA. $90,000-104,999 28 24. BB. $105,000 and over 88. Refused 20 98. DK 4 99. NA ============================== VAR V960703 NUMERIC Y22(1) In addition to being American, what do you consider your main ethnic group or nationality group? [MENTION 1] ----------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: 97. Other 98. DK 99. NA; RF 00. None; "just American" ============================== VAR V960704 NUMERIC Y22(2) In addition to being American, what do you consider your main ethnic group or nationality group? [MENTION 2] ----------------------------------------------------------- See ICPSR Nationality MASTER CODE. If R gave 3 or more nationalities, the first two were coded except when the nationality given in Y22a is not one of the first two listed. Then, the nationality mentioned in Y22a was coded as the first mention, and the first mention was coded as mention 2. Codes 1-96 and: 97. Other 00. Inap, 0,98,99 in Y22(1); no further mention ============================== VAR V960705 NUMERIC Y22(3) CHECKPOINT - NUMBER OF NATIONALITY GROUPS R MENTIONED ----------------------------------------------------------- 1241 1. ONE NATIONALITY OR ETHNIC GROUP MENTIONED 279 2. MORE THAN ONE NATIONALITY OR ETHNIC GROUP MENTIONED 147 3. NO NATIONALITY/GROUP MENTIONED 9. R REFUSED OR DK ANSWER TO NATIONALITY OR ETHNICITY (98,99 in Y22(1)) ============================== VAR V960706 NUMERIC Y22a IF R HAS IDENTIFIED WITH MORE THAN 1 NATIONALITY GROUP: With which of these groups do you most closely identify? ----------------------------------------------------------- Rs giving only 1 mention to Y22 were not asked this question; their single response to Y22 has been duplicated in this variable. Note that there were 30 cases which should have been coded 2 (more than 1 nationality) in Y22(3) but were erroneously coded 1 (only 1 nationality), with the result that Y22a was not asked (R's 'choice' was unknown). See ICPSR Nationality MASTER CODE codes 1-96 and: 90. None, neither 98. DK 99. NA 00. Inap, 1,3,9 in Y22(3) ============================== VAR V960707 NUMERIC Y22b Were both your parents born in this country? ----------------------------------------------------------- 1463 1. Yes 247 5. No 8. DK 9. NA ============================== VAR V960708 NUMERIC Y23 Are you of Spanish or Hispanic origin or descent? / [Is R of Spanish or Hispanic origin or descent?] ----------------------------------------------------------- This question was addressed to the respondent if R did not identify a hispanic group in Y22(1) or Y22(2). If R mentioned a hispanic group in Y22(1)/Y22(2) then the interviewer coded the appropriate response. 149 1. Yes 1561 5. No 8. DK 9. NA ============================== VAR V960709 NUMERIC Y23a IF R HAS MENTIONED SPANISH/ HISPANIC ETHNIC OR NATIONALITY GROUP: Please look at page 22 of the booklet and tell me which category best describes your Hispanic origin. ----------------------------------------------------------- 68 1. Mexican 20 2. Puerto Rican 3 3. Cuban 9 4. Latin American 8 5. Central American 25 6. Spanish 4 7. Other (specify) [VOL] 8. DK 12 9. NA 1565 0. Inap, 5,8,9 in Y23 ============================== VAR V960710 NUMERIC Y24/Y24a Y24.What kind of work did your father (or father substitute) do for a living while you were growing up? Y24a.What was his main occupation? What were his most important activities or duties? Y24b.What kind of business or industry was that? FATHER'S OCCUPATION - CPS 2-DIGIT OCCUPATION CODE ----------------------------------------------------------- 98. DK 99. NA 00. Inap, no father/substitute when growing up ============================== VAR V960711 NUMERIC Y25 Where was it that you grew up? [IF UNITED STATES: Which state or state?] ----------------------------------------------------------- See ICPSR STATE AND COUNTRY Master Code. If R grew up in more than one state or country, the place where R lived longest between ages 6 and 18 was coded. Codes 101-997 and: 998. DK 999. NA ============================== VAR V960712 NUMERIC Y26 How long have you lived in your present (city/town/township/county)? ----------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: 00. Less than 6 months 1. 6-12 months; 1 year 2. 13-24 months; 2 years 89. 89 years or more 90. All of life 98. DK 99. NA ============================== VAR V960713 NUMERIC Y27 How long have you lived in this (house/condo/apartment)? ----------------------------------------------------------- If R gave fraction of year, the fraction was dropped when number of years was greater than 2. Number of years coded, codes 3-88 and: 00. Less than 6 months 1. 6-12 months; 1 year 2. 13-24 months; 2 years 89. 89 years or more 90. All of life 98. DK 99. NA ============================== VAR V960714 NUMERIC Y28 (Do you/ Does your family) own your home, pay rent, or what? ----------------------------------------------------------- 1169 1. Own house 486 2. Pay rent 57 7. Other (specify) 8. DK 2 9. NA; RF ============================== VAR V960715 NUMERIC Y29 And finally, about how many miles do you drive in a typical day? ----------------------------------------------------------- Codes 0- 600 and: 998. DK 999. NA; RF ============================== VAR V960716 NUMERIC Rand.A4 RANDOMIZATION Position of Clinton in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Clinton likes/dislikes are A4- A5a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). 99. NA ============================== VAR V960717 NUMERIC Rand.A6 RANDOMIZATION Position of Dole in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Dole likes/dislikes are A6- A7a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). 99. NA ============================== VAR V960718 NUMERIC Rand.A8 RANDOMIZATION Position of Perot in Pre questions A4-A9a(5) [Presidential candidates, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'likes/dislikes' mentions for Clinton, Dole, and Perot [Perot likes/dislikes are A8- A9a(5)]. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned). 99. NA ============================== VAR V960719 NUMERIC Rand.D1d RANDOMIZATION Position of Gore in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Gore thermometer is D1d]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960720 NUMERIC Rand.D1e RANDOMIZATION Position of Kemp in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Kemp thermometer is D1e]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960721 NUMERIC Rand.D1f RANDOMIZATION Position of Choate/Campbell in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Choate/Campbell thermometer is D1f]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960722 NUMERIC Rand.D1g RANDOMIZATION Position of Democratic House candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Democratic House Candidate thermometer is D1g]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA 00. Inap, no Democratic House candidate (House type race 24) or Washington DC ============================== VAR V960723 NUMERIC Rand.D1h RANDOMIZATION Position of Republican House candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Republican House Candidate thermometer is D1h]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA 00. Inap, no Republican House candidate (House type race 14) or Washington DC ============================== VAR V960724 NUMERIC Rand.D1j RANDOMIZATION Position of Retiring House representative candidate in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Retiring House Representative thermometer is D1j]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA 00. Inap, no retiring House representative (House type race 12,14,21,24) or Washington DC ============================== VAR V960725 NUMERIC Rand.D1k RANDOMIZATION Position of Hillary Clinton in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Hillary Clinton thermometer is D1k]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960726 NUMERIC Rand.D1m RANDOMIZATION Position of Buchanan in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Buchanan thermometer is D1m]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960727 NUMERIC Rand.D1n RANDOMIZATION Position of Jackson in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Jackson thermometer is D1n]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960728 NUMERIC Rand.D1p RANDOMIZATION Position of Gingrich in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Gingrich thermometer is D1p]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960729 NUMERIC Rand.D1q RANDOMIZATION Position of Powell in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Powell thermometer is D1q]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960730 NUMERIC Rand.D1r RANDOMIZATION Position of Forbes in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Forbes thermometer is D1r]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960731 NUMERIC Rand.D1s RANDOMIZATION Position of Gramm in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Gramm thermometer is D1s]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960732 NUMERIC Rand.D1t RANDOMIZATION Position of Farrakhan in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Farrakhan thermometer is D1t]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960733 NUMERIC Rand.D1u RANDOMIZATION Position of Alexander in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Alexander thermometer is D1u]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960734 NUMERIC Rand.D1v RANDOMIZATION Position of Elizabeth Dole in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Elizabeth Dole thermometer is D1v]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960735 NUMERIC Rand.D1w RANDOMIZATION Position of Robertson in Pre questions D1a-D1w [Thermometers, D1d-D1w randomized] ----------------------------------------------------------- See D1d-D1w in Pre survey vars [Robertson thermometer is D1w]. Note: 1st, 2nd, 3rd positions in thermometers for all cases (not randomized) were Clinton, Dole, Perot (D1a, D1b, D1c). Codes 4-20 (positions 4th-20th in thermometers). 99. NA ============================== VAR V960736 NUMERIC Rand.D2a RANDOMIZATION Position of Democratic party in Pre questions D2a,D2b [Major party thermometers] ----------------------------------------------------------- See D2a-D2b in Pre survey vars [Democratic party thermometer is D2a]. Major party thermometers follow thermometers for individual political figures (D1a-D1w) and are randomized separately. Codes 1,2 (1st or 2nd party mentioned). 9. NA ============================== VAR V960737 NUMERIC Rand.D2b RANDOMIZATION Position of Republican party in Pre questions D2a,D2b [Major party thermometers] ----------------------------------------------------------- See D2a-D2b in Pre survey vars [Republican party thermometer is D2b]. Major party thermometers follow thermometers for individual political figures (D1a-D1w) and are randomized separately. Codes 1,2 (1st or 2nd party mentioned). 9. NA ============================== VAR V960738 NUMERIC Rand.E2 RANDOMIZATION Position of Economy in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Economy performance is E2]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR V960739 NUMERIC Rand.E3 RANDOMIZATION Position of Foreign Relations in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Foreign Relations performance is E3]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR V960740 NUMERIC Rand.E4 RANDOMIZATION Position of Environment in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Environment performance is E4]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR V960741 NUMERIC Rand.E5 RANDOMIZATION Position of Health Care in Pre questions E1-E5 [Presidential Performance, E2-E5 randomized] ----------------------------------------------------------- See E1-E5 in Pre survey vars [Health Care performance is E5]. Note: 1st Presidential Performance item (E1) was not randomized. Codes 2,3,4,5 (positions 2nd - 5th in Presidential Performance items). 9. NA ============================== VAR V960742 NUMERIC Rand.E6 RANDOMIZATION Order of Presidential candidate names read in texts of Pre questions E6a-E6d, E7, E8 [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d,E7,E8 in Pre survey vars. For each respondent, order of the 3 presidential candidate names (Clinton, Dole, Perot) was randomized; the resulting order was then read consistently in the texts of questions E6a- E6b,E7,E8. 1. Clinton, Dole, Perot 2. Dole, Perot, Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA ============================== VAR V960743 NUMERIC Rand.E6a RANDOMIZATION Position of Environment in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Environment candidate performance is E6a]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR V960744 NUMERIC Rand.E6b RANDOMIZATION Position of Budget Deficit in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Budget Deficit candidate performance is E6b]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR V960745 NUMERIC Rand.E6c RANDOMIZATION Position of Public Education in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Public Education candidate performance is E6c]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR V960746 NUMERIC Rand.E6d RANDOMIZATION Position of Reducing the Power of Special Interests in Pre questions E6a-E6d [Presidential candidate performance] ----------------------------------------------------------- See E6a-E6d in Pre survey vars [Reducing Speical Interests candidate performance is E6d]. Note: 5th, 6th candidate performance items were always E7 and E8 (not randomized) Codes 1-4 (1st-4th Candidate Performance item). 9. NA ============================== VAR V960747 NUMERIC Rand.F1 RANDOMIZATION Position of Republican Party in Pre questions F1-F2a(5), F3-F4a(5) [Major parties, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'like/dislikes' mentions for Republican Party and Democratic Party [Republican Party likes/dislikes are F1-F2a(5)]. Codes 1,2 (1st, 2nd party mentioned) and: 9. NA 0. Inap, respondent not randomly selected for F1-F4 questions (0 in E10) ============================== VAR V960748 NUMERIC Rand.F3 RANDOMIZATION Position of Democratic Party in Pre questions F1-F2a(5), F3-F4a(5) [Major parties, 'Likes/Dislikes'] ----------------------------------------------------------- See Pre survey vars for 'like/dislikes' mentions for Republican Party and Democratic Party [Democratic Party likes/dislikes are F3-F4a(5)]. Codes 1,2 (1st, 2nd party mentioned) 9. NA 0. Inap, respondent not randomly selected for F1-F4 questions (0 in E10) ============================== VAR V960749 NUMERIC Rand.G1 RANDOMIZATION Position of Clinton in Pre questions G1a-G3d(1) [Presidential candidates, affects] ----------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Clinton affects are G1a-G1d(1)]. This variable describes whether Clinton's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) 9. NA ============================== VAR V960750 NUMERIC Rand.G2 RANDOMIZATION Position of Dole in Pre questions G1a-G3d(1) [Presidential candidates, affects] ----------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Dole affects are G2a-G2d(1)]. This variable describes whether Dole's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) 9. NA ============================== VAR V960751 NUMERIC Rand.G3 RANDOMIZATION Position of Perot in Pre questions G1a-G3d(1) [Presidential candidates, affects] ----------------------------------------------------------- See Pre survey vars for Clinton, Dole, Perot affects [Perot affects are G3a-G3d(1)]. This variable describes whether Perot's affects were administered 1st, 2nd or 3rd. All affects were administered for a candidate before another candidate's affects were asked. Codes 1,2,3 (1st, 2nd, 3rd candidate mentioned) 9. NA ============================== VAR V960752 NUMERIC Rand.G1a RANDOMIZATION Position of Angry in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Angry is G1a]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR V960753 NUMERIC Rand.G1b RANDOMIZATION Position of Hopeful in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Hopeful is G1b]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR V960754 NUMERIC Rand.G1c RANDOMIZATION Position of Afraid in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Afraid is G1c]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR V960755 NUMERIC Rand.G1d RANDOMIZATION Position of Proud in Pre questions G1a-G1d(1) [4 Clinton affects] ----------------------------------------------------------- See G1a-G1d(1) in Pre survey vars for Clinton affects [Proud is G1d]. Codes 1-4 (1st, 2nd, 3rd, 4th Clinton affect mentioned). 9. NA ============================== VAR V960756 NUMERIC Rand.G2a RANDOMIZATION Position of Angry in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Angry is G2a]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR V960757 NUMERIC Rand.G2b RANDOMIZATION Position of Hopeful in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Hopeful is G2b]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR V960758 NUMERIC Rand.G2c RANDOMIZATION Position of Afraid in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Afraid is G2c]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR V960759 NUMERIC Rand.G2d RANDOMIZATION Position of Proud in Pre questions G2a-G2d(1) [4 Dole affects] ----------------------------------------------------------- See G2a-G2d(1) in Pre survey vars for Dole affects [Proud is G2d]. Codes 1-4 (1st, 2nd, 3rd, 4th Dole affect mentioned). 9. NA ============================== VAR V960760 NUMERIC Rand.G3a RANDOMIZATION Position of Angry in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Angry is G3a]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR V960761 NUMERIC Rand.G3b RANDOMIZATION Position of Hopeful in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Hopeful is G3b]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR V960762 NUMERIC Rand.G3c RANDOMIZATION Position of Afraid in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Afraid is G3c]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR V960763 NUMERIC Rand.G3d RANDOMIZATION Position of Proud in Pre questions G3a-G3d(1) [4 Perot affects] ----------------------------------------------------------- See G3a-G3d(1) in Pre survey vars for Perot affects [Proud is G3d]. Codes 1-4 (1st, 2nd, 3rd, 4th Perot affect mentioned) and: 9. NA 0. Inap, Iw conducted after question withdrawn ============================== VAR V960764 NUMERIC Rand.G5 RANDOMIZATION Position of Clinton in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ----------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Clinton is G5-G5a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960765 NUMERIC Rand.G6 RANDOMIZATION Position of Dole in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ----------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Dole is G6-G6a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960766 NUMERIC Rand.G7 RANDOMIZATION Position of Perot in Pre questions G5-G7a [Presidential candidates, Liberal-conservative placements] ----------------------------------------------------------- See G5-G7a in Pre survey vars for liberal-conservative placements of Presidential candidates [Perot is G7-G7a]. Presidential candidate placements precede the 2 House candidate placements (G8-G9a) and the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960767 NUMERIC Rand.G8 RANDOMIZATION Position of Democratic House Candidate in Pre questions G8-G9a [House candidates, Liberal-conservative placements] ----------------------------------------------------------- See G8-G9a in Pre survey vars for liberal-conservative placements of Democratic and Republican House candidates [Democratic candidate is G8-G8a]. House candidate placements follow the 3 Presidential candidate placements (G5-G7a) and precede the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC ============================== VAR V960768 NUMERIC Rand.G9 RANDOMIZATION Position of Republican House Candidate in Pre questions G8-G9a [House candidates, Liberal-conservative placements] ----------------------------------------------------------- See G8-G9a in Pre survey vars for liberal-conservative placements of Democratic and Republican House candidates [Republican candidate is G9-G9a]. House candidate placements follow the 3 Presidential candidate placements (G5-G7a) and precede the 2 Major Party placements (G10-G11), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC ============================== VAR V960769 NUMERIC Rand.G10 RANDOMIZATION Position of Democratic Party in Pre questions G10-G11 [Major parties, Liberal-conservative placements] ----------------------------------------------------------- See G10-G11 in Pre survey vars for liberal-conservative placements of major parties [Democratic Party is G10]. Major party placements follow the 3 Presidential candidate placements (G5-G7a) and the 2 House candidate placements (G7-G9a), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960770 NUMERIC Rand.G11 RANDOMIZATION Position of Republican Party in Pre questions G10-G11 [Major parties, Liberal-conservative placements] ----------------------------------------------------------- See G10-G11 in Pre survey vars for liberal-conservative placements of major parties [Republican Party is G11]. Major party placements follow the 3 Presidential candidate placements (G5-G7a) and the 2 House candidate placements (G7-G9a), and are randomized separately from both. In reference to the entire set of administered Liberal- Conservative placements affected by randomization (G5- G11), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960771 NUMERIC Rand.H4 RANDOMIZATION Order of major parties read in texts of Pre questions H4a-H4h [Party Performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read consistently in the texts of all questions H4a-H4h. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960772 NUMERIC Rand.H4a RANDOMIZATION Position of Nation's Economy in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Nation's Economy is H4a]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960773 NUMERIC Rand.H4b RANDOMIZATION Position of Foreign Affairs in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4b]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960774 NUMERIC Rand.H4c RANDOMIZATION Position of Health Care in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4c]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960775 NUMERIC Rand.H4d RANDOMIZATION Position of Welfare Reform in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in survey vars [Foreign Affairs is H4d]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960776 NUMERIC Rand.H4e RANDOMIZATION Position of Poverty in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4e]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960777 NUMERIC Rand.H4f RANDOMIZATION Position of Budget Deficit in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4f]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960778 NUMERIC Rand.H4g RANDOMIZATION Position of Pollution and Environment in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4g]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960779 NUMERIC Rand.H4h RANDOMIZATION Position of Crime in Pre questions H4a-H4h [Presidential candidate performance] ----------------------------------------------------------- See H4a-H4h in Pre survey vars [Foreign Affairs is H4h]. Codes 1-8 (1st to 8th performance item mentioned) and: 9. NA 0. Inap, Respondent was not randomly selected for questions H4a-H8 (0 in H4) ============================== VAR V960780 NUMERIC Rand.H5 RANDOMIZATION Order of major parties read in text of Pre question H5 (randomized). [Presidential candidate performance, Cut Social Security Benefits] ----------------------------------------------------------- See H5 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H5. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR V960781 NUMERIC Rand.H6 RANDOMIZATION Order of major parties read in text of Pre question H6 (randomized). [Presidential candidate performance, Improve Race Relations] ----------------------------------------------------------- See H6 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H6. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR V960782 NUMERIC Rand.H7 RANDOMIZATION Order of major parties read in text of Pre question H7 (randomized). [Presidential candidate performance, Raise Taxes] ----------------------------------------------------------- See H7 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H7. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR V960783 NUMERIC Rand.H8 RANDOMIZATION Order of major parties read in text of Pre question H8 (randomized). [Presidential candidate performance, Keep Out of War] ----------------------------------------------------------- See H8 in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H8. 1. Democratic Party read first, Republican Party second 2. Republican Party read first, Democratic Party second 9. NA ============================== VAR V960784 NUMERIC Rand.H13a RANDOMIZATION Order of House candidate names read in text of Pre question H13a [Incumbency Status, Districts with 2 major party candidates]. ----------------------------------------------------------- See H13a in Pre survey vars. For each respondent, order of the 2 major parties was randomized; the resulting order was then read in the text of question H13a. 1. Democratic candidate name read first, Republican candidate name read second 2. Republican candidate name read first, Democratic candidate name read second 9. NA 0. Inap, only one major party candidate (type race 14 or 24) or Washington DC ============================== VAR V960785 NUMERIC Rand.K2a RANDOMIZATION Position of Intelligent in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Intelligent is K2a]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960786 NUMERIC Rand.K2b RANDOMIZATION Position of Compassionate in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Compassionate is K2b]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960787 NUMERIC Rand.K2c RANDOMIZATION Position of Moral in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Moral is K2c]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960788 NUMERIC Rand.K2d RANDOMIZATION Position of Inspiring in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Inspiring is K2d]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960789 NUMERIC Rand.K2e RANDOMIZATION Position of Provides Strong Leadership in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Provides Strong Leadership is K2e]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960790 NUMERIC Rand.K2f RANDOMIZATION Position of Really Cares About People Like You in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Really Cares About People Like You is K2f]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960791 NUMERIC Rand.K2g RANDOMIZATION Position of Knowledgeable in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Knowledgeable is K2g]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960792 NUMERIC Rand.K2h RANDOMIZATION Position of Honest in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Honest is K2h]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960793 NUMERIC Rand.K2j RANDOMIZATION Position of Gets Things Done in Pre questions K2a-j [9 Clinton traits] ----------------------------------------------------------- See K2a-j in Pre survey vars [Gets Things Done is K2j]. Note: Clinton traits were administered before Dole traits and Perot traits (Clinton's position among Presidential candidates was not randomized; Dole traits and Perot traits were randomly determined to be administered either 2nd or 3rd). Codes 1-9 (1st to 9th Clinton Trait mentioned) 0. NA ============================== VAR V960794 NUMERIC Rand.K3 RANDOMIZATION Position of Dole in Pre questions K2a-K4g [Presidential candidates, Traits, K3a-K4g randomized ] ----------------------------------------------------------- See K3a-K3g/K4a-K4g in Pre survey vars for traits of Dole and Perot[Dole traits are K3a-K3g]. This variable describes the order in which Dole and Perot traits were administered. Note that Clinton traits were always asked previously (not randomized). All traits were asked about a candidate before the next candidate's traits were administered. Codes 1,2 (2nd or 3rd Presidential candidate for administration of Traits questions) 9. NA ============================== VAR V960795 NUMERIC Rand.K4 RANDOMIZATION Position of Perot in Pre questions K2a-K4g [Presidential Candidates, Traits, K3a-K4g randomized ] ----------------------------------------------------------- See K3a-K3g/K4a-K4g in Pre survey vars for traits of Dole and Perot[Perot traits are K4a-K4g]. This variable describes whether Perot traits were administered 2nd or 3rd. Note that Clinton traits were always asked first (not randomized). All traits were asked about a candidate before the next candidate's traits were administered. Codes 2,3 (2nd or 3rd Presidential candidate) 9. NA ============================== VAR V960796 NUMERIC Rand.K3/4a RANDOMIZATION Position of Moral in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Moral is K3a and K4a]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960797 NUMERIC Rand.K3/4b RANDOMIZATION Position of Inspiring in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Inspiring is K3b and K4b]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960798 NUMERIC Rand.K3/4c RANDOMIZATION Position of Provides Strong Leadership in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Provides Strong Leadership is K3c and K4c]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960799 NUMERIC Rand.K3/4d RANDOMIZATION Position of Really Cares About People Like You in Pre questions K3a- K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Really Cares About People Like You is K3d and K4d]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960800 NUMERIC Rand.K3/4e RANDOMIZATION Position of Knowledgeable in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Knowledgeable is K3e and K4e]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960801 NUMERIC Rand.K3/4f RANDOMIZATION Position of Honest in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Honest is K3f and K4f]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960802 NUMERIC Rand.K3/4g RANDOMIZATION Position of Gets Things Done in Pre questions K3a-K3g / K4a-K4g [7 Dole / Perot Traits] ----------------------------------------------------------- See K3a-K3b/K4a-K4g in Pre survey vars [Gets Things Done is K3g and K4g]. The order of 7 traits was randomized once; that randomized order applied both to Dole traits (K3a-K3g) and PerotTraits (K4a-K4g). This variable describes the position of this trait both within Dole's set of traits and within Perot's set of traits. Note: the set of Clinton traits were always asked first; the sets of Dole and Perot traits were randomly determined to be asked 2nd or 3rd [see Rand.K3 and Rand.K4]. Codes 1-7 (1st-7th Dole/Perot trait) 9. NA ============================== VAR V960803 NUMERIC Rand.L1b RANDOMIZATION Position of Clinton in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ----------------------------------------------------------- See L1b-L1d in Pre survey vars [Clinton is L1b]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960804 NUMERIC Rand.L1c RANDOMIZATION Position of Dole in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ----------------------------------------------------------- See L1b-L1d in Pre survey vars [Dole is L1c]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960805 NUMERIC Rand.L1d RANDOMIZATION Position of Perot in Pre questions L1b-L1d [Presidential candidates, Services/Spending scale] ----------------------------------------------------------- See L1b-L1d in Pre survey vars [Perot is L1d]. Presidential candidate placements precede the 2 House candidate placements (L1e-L1f) and the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960806 NUMERIC Rand.L1e RANDOMIZATION Position of Democratic House candidate in Pre questions L1e-L1f [House Candidates, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Democratic House Candidate is L1e]. House candidate placements follow the 3 Presidential candidate placements (L1b-L1d) and precede the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC; 0,8,9 in L1a; R did not recognize name (997 in D1g) ============================== VAR V960807 NUMERIC Rand.L1f RANDOMIZATION Position of Republican House candidate in Pre questions L1e-L1f [House Candidates, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Republican House Candidate is L1f]. House candidate placements follow the 3 Presidential candidate placements (L1b-L1d) and precede the 2 Major Party placements (L1g-L1h), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC; 0,8,9 in L1a; R did not recognize name (997 in D1h) ============================== VAR V960808 NUMERIC Rand.L1g RANDOMIZATION Position of Democratic Party in Pre questions L1g-L1h [Major parties, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Democratic party is L1g] Major party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960809 NUMERIC Rand.L1h RANDOMIZATION Position of Republican Party in Pre questions L1g-L1h [Major parties, Services/Spending scale] ----------------------------------------------------------- See L1e-L1f in Pre survey vars [Republican party is L1h] Major party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Services/Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960810 NUMERIC Rand.L2b RANDOMIZATION Position of Clinton in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ----------------------------------------------------------- See L2b-L2d in Pre survey vars [Clinton is L2b] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960811 NUMERIC Rand.L2c RANDOMIZATION Position of Dole in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ----------------------------------------------------------- See L2b-L2d in Pre survey vars [Dole is L2c] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960812 NUMERIC Rand.L2d RANDOMIZATION Position of Perot in Pre questions L2b-L2d [Presidential candidates, Defense Spending scale] ----------------------------------------------------------- See L2b-L2d in Pre survey vars [Perot is L2d] Presidential candidate placements precede the 2 House candidate placements (L2e-L2f) and the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR V960813 NUMERIC Rand.L2e RANDOMIZATION Position of Democratic House candidate in Pre questions L2f-L2e [House candidates, Defense Spending scale] ----------------------------------------------------------- See L2e-L2f in Pre survey vars [Democratic House candidate is L2e]. House candidate placements follow the 3 Presidential candidate placements (L2b-L2d) and precede the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC ============================== VAR V960814 NUMERIC Rand.L2f RANDOMIZATION Position of Republican House candidate in Pre questions L2f-L2e [House candidates, Defense Spending scale] ----------------------------------------------------------- See L2e-L2f in Pre survey vars [Republican House candidate is L2f]. House candidate placements follow the 3 Presidential candidate placements (L2b-L2d) and precede the 2 Major Party placements (L2g-L2h), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L2b-L2h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC ============================== VAR V960815 NUMERIC Rand.L2g RANDOMIZATION Position of Democratic Party in Pre questions L2g-L2h [Major parties, Defense Spending scale] ----------------------------------------------------------- See L2g-L2h in Pre survey vars [Democratic party is L2g]. Major Party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR V960816 NUMERIC Rand.L2h RANDOMIZATION Position of Republican Party in Pre questions L2g-L2h [Major parties, Defense Spending scale] ----------------------------------------------------------- See L2g-L2h in Pre survey vars [Republican party is L2h]. Major Party placements follow the 3 Presidential candidate placements (L1b-L1d) and the 2 House candidate placements (L1e-L1f), and are randomized separately from both. In reference to the entire set of administered Defense Spending placements affected by randomization (L1b-L1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR V960817 NUMERIC Rand.L3b RANDOMIZATION Position of Clinton in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ----------------------------------------------------------- See L3b-L3d in Pre survey vars [Clinton is L3b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960818 NUMERIC Rand.L3c RANDOMIZATION Position of Dole in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ----------------------------------------------------------- See L3b-L3d in Pre survey vars [Dole is L3c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960819 NUMERIC Rand.L3d RANDOMIZATION Position of Perot in Pre questions L3b-L3d [Presidential candidates, Government Health Insurance] ----------------------------------------------------------- See L3b-L3d in Pre survey vars [Perot is L3d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR V960820 NUMERIC Rand.L4b RANDOMIZATION Position of Clinton in Pre questions L4b-L4d [Presidential candidates, Government Guranteed Job/Standard of Living] ----------------------------------------------------------- See L4b-L4d in Pre survey vars [Clinton is L4b] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960821 NUMERIC Rand.L4c RANDOMIZATION Position of Dole in Pre questions L4b-L4d [Presidential candidates, Government Guranteed Job/Standard of Living] ----------------------------------------------------------- See L4b-L4d in Pre survey vars [Dole is L4c] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960822 NUMERIC Rand.L4d RANDOMIZATION Position of Perot in Pre questions L4b-L4d [Presidential candidates, Government Guranteed Job/Standard of Living] ----------------------------------------------------------- See L4b-L4d in Pre survey vars [Perot is L4d] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR V960823 NUMERIC Rand.L5b RANDOMIZATION Position of Clinton in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ----------------------------------------------------------- See L5b-L5d in Pre survey vars [Clinton is Lb] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960824 NUMERIC Rand.L5c RANDOMIZATION Position of Dole in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ----------------------------------------------------------- See L5b-L5d in Pre survey vars [Dole is Lc] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960825 NUMERIC Rand.L6a RANDOMIZATION Position of Perot in Pre questions L5b-L5d [Presidential candidates, Government Assistance to Blacks] ----------------------------------------------------------- See L5b-L5d in Pre survey vars [Perot is Ld] Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960826 NUMERIC Rand.L6b RANDOMIZATION Position of Food Stamps in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Food Stamps is L6a]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960827 NUMERIC Rand.L6c RANDOMIZATION Position of Welfare Programs in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Welfare Programs is L6b]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960828 NUMERIC Rand.L6d RANDOMIZATION Position of AIDS Research in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [AIDS Research is L6c]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960829 NUMERIC Rand.L6e RANDOMIZATION Position of Foreign Aid in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Foreign Aid is L6d]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960830 NUMERIC Rand.L6f RANDOMIZATION Position of Financial Aid to College Students in Pre questions L6a- L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Financial Aid to College Students is L6e]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960831 NUMERIC Rand.L6g RANDOMIZATION Position of Assistance to the Homeless in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Assistance to the Homeless is L6f]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960832 NUMERIC Rand.L6h RANDOMIZATION Position of Preventing Illegal Immigration in Pre questions L6a-L6g [7 Federal Spending items] ----------------------------------------------------------- See L6a-L6g in Pre survey vars [Preventing Illegal Immigration is L6g]. Codes 1-7 (1st-7th spending item mentioned) 9. NA ============================== VAR V960833 NUMERIC Rand.M1b RANDOMIZATION Position of Clinton in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ----------------------------------------------------------- See M1b-M1d in Pre survey vars [Clinton is M1b]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960834 NUMERIC Rand.M1c RANDOMIZATION Position of Dole in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ----------------------------------------------------------- See M1b-M1d in survey vars [Dole is M1c]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) 9. NA ============================== VAR V960835 NUMERIC Rand.M1d RANDOMIZATION Position of Perot in Pre questions M1b-M1d [Presidential candidates, Abortion scale] ----------------------------------------------------------- See M1b-M1d in Pre survey vars [Perot is M1d]. Presidential candidate placements precede the 2 House candidate placements (M1e-M1f) and the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st, 2nd, 3rd Pres. candidate mentioned) and: 9. NA 0. Inap, IW conducted after question withdrawn ============================== VAR V960836 NUMERIC Rand.M1e RANDOMIZATION Position of Democratic House candidate in Pre questions M1e-M1f [House candidates, Abortion scale] ----------------------------------------------------------- See M1e-M1f in Pre survey vars [Democratic House candidate is M1e]. House candidate placements follow the 3 Presidential candidate placements (M1b-M1d) and precede the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) and: 9. NA 0. Inap, no Democratic House candidate (House type race 24) or Washington DC; 8,9 in M1a; R did not recognize name (997 in D1g) ============================== VAR V960837 NUMERIC Rand.M1f RANDOMIZATION Position of Republican House candidate in Pre questions M1e-M1f [House candidates, Abortion scale] ----------------------------------------------------------- See M1e-M1f in Pre survey vars [Republican House candidate is M1f]. House candidate placements follow the 3 Presidential candidate placements (M1b-M1d) and precede the 2 Major Party placements (M1g-M1h), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1,2 (1st or 2nd House candidate mentioned) and: 9. NA 0. Inap, no Republican House candidate (House type race 14) or Washington DC; 8,9 in M1a; R did not recognize name (997 in D1h) ============================== VAR V960838 NUMERIC Rand.M1g RANDOMIZATION Position of Democratic Party in Pre questions M1g-M1h [Major parties, Abortion scale] ----------------------------------------------------------- See M1g-M1h in Pre survey vars [Democratic Party is M1g]. Major Party placements follow the 3 Presidential candidate placements (M1b-M1d) and the 2 House candidate placements (M1e-M1f), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR V960839 NUMERIC Rand.M1h RANDOMIZATION Position of Republican Party in Pre questions M1g-M1h [Major parties, Abortion scale] ----------------------------------------------------------- See M1g-M1h in Pre survey vars [Republican Party is M1h]. Major Party placements follow the 3 Presidential candidate placements (M1b-M1d) and the 2 House candidate placements (M1e-M1f), and are randomized separately from both. In reference to the entire set of administered Abortion placements affected by randomization (M1b-M1h), codes 1 and 2 here represent (respectively) the 6th and 7th placements within the full series of 7 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned). 9. NA ============================== VAR V960840 NUMERIC Rand.M2b RANDOMIZATION Position of Clinton in Pre questions M2b-M2d [Presidential candidates, Crime scale] ----------------------------------------------------------- See M2b-M2d in Pre survey vars [Clinton is M2b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960841 NUMERIC Rand.M2c RANDOMIZATION Position of Dole in Pre questions M2b-M2d [Presidential candidates, Crime scale] ----------------------------------------------------------- See M2b-M2d in Pre survey vars [Dole is M2c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960842 NUMERIC Rand.M2d RANDOMIZATION Position of Perot in Pre questions M2b-M2d [Presidential candidates, Crime scale] ----------------------------------------------------------- See M2b-M2d in Pre survey vars [Perot is M2d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960843 NUMERIC Rand.M3b RANDOMIZATION Position of Clinton in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ----------------------------------------------------------- See M3b-M3d in Pre survey vars [Clinton is M3b]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960844 NUMERIC Rand.M3c RANDOMIZATION Position of Dole in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ----------------------------------------------------------- See M3b-M3d in Pre survey vars [Dole is M3c]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960845 NUMERIC Rand.M3d RANDOMIZATION Position of Perot in Pre questions M3b-M3d [Presidential candidates, Jobs/Environment scale] ----------------------------------------------------------- See M3b-M3d in Pre survey vars [Perot is M3d]. Presidential candidate placements precede the 2 Major Party placements (M3e-M3f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960846 NUMERIC Rand.M3e RANDOMIZATION Position of Democratic Party in Pre questions M3e-M3f [Major parties, Jobs/Environment scale] ----------------------------------------------------------- See M3e-M3f in Pre survey vars [Democratic Party is M3e]. Major Party placements follow Presidential candidate placements (M3b-M3d), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960847 NUMERIC Rand.M3f RANDOMIZATION Position of Republican Party in Pre questions M3e-M3f [Major parties, Jobs/Environment scale] ----------------------------------------------------------- See M3e-M3f in Pre survey vars [Republican Party is M3f]. Major Party placements follow Presidential candidate placements (M3b-M3d), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M3b- M3f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960848 NUMERIC Rand.M4b RANDOMIZATION Position of Clinton in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ----------------------------------------------------------- See M4b-M4d in Pre survey vars [Clinton is M4b]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b- M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960849 NUMERIC Rand.M4c RANDOMIZATION Position of Dole in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ----------------------------------------------------------- See M4b-M4d in Pre survey vars [Dole is M4c]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b- M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960850 NUMERIC Rand.M4d RANDOMIZATION Position of Perot in Pre questions M4b-M4d [Presidential candidates, Environmental Regulation scale] ----------------------------------------------------------- See M4b-M4d in Pre survey vars [Perot is M4d]. Presidential candidate placements precede the 2 Major Party placements (M4e-M4f), and are randomized separately from them. In reference to the entire set of administered Jobs/Environment placements affected by randomization (M4b- M4f), codes 1,2 and 3 here represent (respectively) the 1st, 2nd and 3rd placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960851 NUMERIC Rand.M4e RANDOMIZATION Position of Democratic party in Pre questions M4e-M4f [Major parties, Environmental Regulation scale] ----------------------------------------------------------- See M4e-M4f in Pre survey vars [Democratic Party is M4e]. Major Party placements follow Presidential candidate placements (M4b-M4d), and are randomized separately from them. In reference to the entire set of administered Environmental Regulation placements affected by randomization (M4b-M4f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960852 NUMERIC Rand.M4f RANDOMIZATION Position of Republican party in Pre questions M4e-M4f [Major parties, Environmental Regulation scale] ----------------------------------------------------------- See M4e-M4f in Pre survey vars [Republican Party is M4f]. Major Party placements follow Presidential candidate placements (M4b-M4d), and are randomized separately from them. In reference to the entire set of administered Environmental Regulation placements affected by randomization (M4b-M4f), codes 1 and 2 here represent (respectively) the 4th and 5th placements within the full series of 5 placements. Note: For all 7-point scales, the full set of placements affected by randomization include any placements which follow self-placement; self-placement is always assigned prior administration (is never randomized). Codes 1-2 (1st or 2nd major party mentioned) 9. NA ============================== VAR V960853 NUMERIC Rand.N1b RANDOMIZATION Position of Clinton in Pre questions N1b-N1d [Presidential candidates, Women's Role] ----------------------------------------------------------- See N1b-N1d in Pre survey vars [Clinton is N1b]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960854 NUMERIC Rand.N1c RANDOMIZATION Position of Dole in Pre questions N1b-N1d [Presidential candidates, Women's Role] ----------------------------------------------------------- See N1b-N1d in Pre survey vars [Dole is N1c]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960855 NUMERIC Rand.N1d RANDOMIZATION Position of Perot in Pre questions N1b-N1d [Presidential candidates, Women's Role] ----------------------------------------------------------- See N1b-N1d in Pre survey vars [Perot is N1d]. Note: In all cases, Presidential candidate placements follow self-placement (self-placement not randomized). Codes 1-3 (1st-3rd Pres. candidate mentioned) 9. NA ============================== VAR V960856 NUMERIC Rand.N3a RANDOMIZATION Order of Presidential candidate names read in text of Pre question N3a [Who would R most like to see elected] ----------------------------------------------------------- See N3a in Pre survey vars. For each respondent, order of the 3 major Presidential candidates (Clinton, Dole, Perot) was randomized in the text of the question N3a. 1. Clinton, Dole, Perot 2. Dole, Perot, Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA ============================== VAR V960857 NUMERIC Rand.N5a RANDOMIZATION Position of Social Security Benefits in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Social Security Benefits is N5a]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR V960858 NUMERIC Rand.N5b RANDOMIZATION Position of Improve and Protect the Environment in Pre questions N5a- N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Improve and Protect the Environment is N5b]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR V960859 NUMERIC Rand.N5c RANDOMIZATION Position of Public Schools in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Public School is N5c]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR V960860 NUMERIC Rand.N5d RANDOMIZATION Position of Dealing with Crime in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Dealing with Crime is N5d]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR V960861 NUMERIC Rand.N5e RANDOMIZATION Position of Child Care in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Child Care is N5e]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR V960862 NUMERIC Rand.N5f RANDOMIZATION Position of Poor People in Pre questions N5a-N5f [6 Federal Spending items] ----------------------------------------------------------- See N5a-N5f in Pre survey vars [Poor People is N5f]. Codes 1-6 (1st-6th spending item mentioned). 9. NA ============================== VAR V960900 NUMERIC Process.14 1996 Post ID ----------------------------------------------------------- Interviews range from 1001 to 2535 (Panel and Cross cases are not in separate series). There is a gap in the interview numbering at 2444. Cases in the range 4001-4187 are Post noninterviews or Pre only in 1996 (gaps at 4042, 4054, 4075, 4146, 4147, 4173, 4186). ============================== VAR V960901 NUMERIC Admin.26 Post question 'form' variable ----------------------------------------------------------- This variable compares with the 'Form' variable of previous (non-CAPI) studies and describes the format of (questions included in) the instrument. The set of questions F1-F4 and the set of questions H1-H1a were each administered to a random half-sample of respondents. Half-samples were also randomly selected for administration of either the series D30-D30g or the series S30-S30g (identical questions administered in different locations within the Post instrument). BOTH F1-F4 AND H1-H1a: 243 1. R administered F1-F4, H1-H1a and D30 63 2. R administered F1-F4, H1-H1a and S30 F1-F4 ONLY: 259 3. R administered F1-F4 and D30 (not administered H1-H1a) 256 4. R administered F1-F4 and S30 (not administered H1-H1a) H1-H1a ONLY: 237 5. R administered H1-H1a and D30 (not administered F1-F4) 205 6. R administered H1-H1a and S30 (not administered F1-F4) NEITHER F1-F4 NOR H1-H1a: 26 7. R administered D30 (not administered F1- F4 or H1-H1a) 245 8. R administered S30 (not administered F1- F4 or H1-H1a) 0. Inap, no Post IW ============================== VAR V960902 NUMERIC Admin.28 POST-ELECTION Day of interview ----------------------------------------------------------- Day of interiew 1-31 coded, except: 00. Inap, no Post IW ============================== VAR V960903 NUMERIC Admin.29 POST ELECTION Month of interview ----------------------------------------------------------- 1352 11. November 181 12. December 01. January 99. NA 180 00. Inap, no Post IW ============================== VAR V960904 NUMERIC Admin.30 POST-ELECTION - Number of days since Election Day ----------------------------------------------------------- This variable is based on the date of interview. It counts the number of days after the election day (November 5, 1996). 99. NA 00. Inap, no Post IW ============================== VAR V960905 NUMERIC Admin.31 POST-ELECTION Beginning time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA 0000. Inap, no Post IW ============================== VAR V960906 NUMERIC Admin.32 POST-ELECTION Ending time (local) ----------------------------------------------------------- 24 hour clock is used, midnight to 11:59 p.m. (0000-2359), except: 9999. NA 0000. Inap, no Post IW ============================== VAR V960907 NUMERIC Admin.33 POST-ELECTION Interview length in minutes ----------------------------------------------------------- The actual number of minutes is coded, except: 999.0. NA 000.0. Inap, no post IW ============================== VAR V960908 NUMERIC Admin.34 POST-ELECTION Interview number ----------------------------------------------------------- This number records the sequence in which each interviewer's interviews were completed. 01 is the first interview taken by a particular interviewer. Actual number is coded except: 99. NA 00. Inap, no Post IW ============================== VAR V960909 NUMERIC Admin.35 POST-ELECTION Date of Beginning VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview began. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. In 39 cases, the early training VQ was used in error. The significant effects of this error were the following 1) absence of randomization 2) D11x instruction changed from "SHOW BALLOT CARD" to "DO NOT SHOW BALLOT CARD" 3) questions F3 and F4 skipped. In the Pre and Post randomization variables, the unrandomized order in which the questions were administered is coded for these cases, and the half-sample checkpoints identify the (unrandomized) selection or non-selection of these 39 cases for question series. The next variable documents the VQ version in use at the end of the interview; note that if an interview was temporarily halted and a new VQ was installed prior to the resumption of interviewing, the VQ in effect for some questions would not be the VQ coded here. 39 1. 10/14/96 333 2. 10/30/96 305 3. 11/11/96 857 4. 11/14/96 9. NA 180 0. Inap, no Post IW ============================== VAR V960910 NUMERIC Admin.36 POST-ELECTION Date of Ending VQ file ----------------------------------------------------------- This refers to the VQ file loaded when the interview ended. Changes were made to the VQ (CAPI application) while in the field. Most changes were not significant, with a few exceptions. 39 1. 10/14/96 321 2. 10/30/96 296 3. 11/11/96 872 4. 11/14/96 9. NA 180 0. Inap, no Post IW ============================== VAR V960911 NUMERIC Admin.37 POST-ELECTION - Payment amount ----------------------------------------------------------- All Pre respondents were sent a check for $10.00 and a gift (message board), together with the contact letter requesting a Post interview. Note that even no-post cases (0 Inap in this variable) were sent the payment and gift. 1534 10. $10 Respondent payment 00. Inap, no Post IW ============================== VAR V960912 NUMERIC Admin.38 POST-ELECTION - Was interview tape recorded ----------------------------------------------------------- 251 1. Yes 1073 5. No 9. NA 180 0. Inap, no Post IW ============================== VAR V960913 NUMERIC Admin.39 POST-ELECTION - Verification indicator ----------------------------------------------------------- 1149 0. Not flagged for verification 34 1. Flagged for verification 320 2. Verified 12 3. Verified with discrepancy 4. Not verified 19 5. Unable to verify 9. Inap, no Post IW ============================== VAR V960914 NUMERIC Admin.40 POST-ELECTION - Evaluation indicator ----------------------------------------------------------- 1337 0. Interview not evaluated 6 1. Interview evaluated by supervisor 191 2. Interview evaluated by team leader 9. Inap, no Post IW ============================== VAR V960915 NUMERIC Admin.41 POST-ELECTION - Refusal conversion indicator ----------------------------------------------------------- This refers to interviews initially refused by someone when an interviewer was first attempting contact. The source of this refusal may or may not have been the Respondent. Conversion may be made by the initial interviewer or another interviewer. If the conversion is not made by the initial interviewer, the interviewer of record is the interviewer obtaining the conversion. 27 1. Refusal conversion attempted 1507 5. Not a refusal conversion situation 9. NA 180 0. Inap, no Post IW ============================== VAR V960916 NUMERIC Admin.42 POST-ELECTION - Was persuasion letter sent? ----------------------------------------------------------- One form of general persuasion letter was sent to all respondents. 11 1. Persuasion letter was sent to R 1523 5. No persuasion letter was sent to R 9. NA 180 0. Inap, no Post IW ============================== VAR V960917 NUMERIC Admin.43 POST-ELECTION - Number of telephone calls ----------------------------------------------------------- Number of calls is coded, except: 96. Inap, no Post IW 99. NA ============================== VAR V960918 NUMERIC Admin.44 POST-ELECTION - Number of face to face calls ----------------------------------------------------------- Number of calls is coded, except: 96. Inap, no Post IW 99. NA ============================== VAR V960919 NUMERIC Admin.45 POST-ELECTION - Total number of calls (Phone + FtF) ----------------------------------------------------------- This variable adds the number of phone calls and face to face calls that were made to R's home in order to obtain the interview. This variable is comparable to the"number of calls" variable in past studies. Number of calls coded, except: 99. NA 00. Inap, no Post IW ============================== VAR V960920 NUMERIC Admin.46 POST-ELECTION - Final result code ----------------------------------------------------------- 1528 1. Interview, complete 6 5. Interview, partial 51. Noninterview: refusal by R 6 52. Noninterview: refusal by someone other than R 34 61. Noninterview: no contact 6 63. Noninterview: permanent condition 59 67. Noninterview: other reason ============================== VAR V960921 NUMERIC Admin.47 POST-ELECTION - Beginning mode, personal or telephone ----------------------------------------------------------- This is the mode when interview began 777 1. Personal 757 4. Telephone 0. Inap, no Post IW ============================== VAR V960922 NUMERIC Admin.48 SUMMARY - POST MODE ASSIGNMENT AND ADMINISTRATION ----------------------------------------------------------- Post mode in this variable refers to beginning mode (question Admin.47). 749 1. Assigned to personal, administered as personal IW 7 2. Assigned to personal, administered as telephone IW 28 3. Assigned to telephone, administered as personal IW 750 4. Assigned to telephone, administered as telephone IW 0. Inap, no Post IW ============================== VAR V960923 NUMERIC Admin.49 POST-ELECTION - Ending mode, personal or telephone ----------------------------------------------------------- This is the mode when interview ended. 776 1. Personal 752 4. Telephone 9. NA 180 0. Inap, no Post IW ============================== VAR V960924 NUMERIC CSheet.25. POST-ELECTION COVERSHEET, CS Item 1. Does R still live at the address on sample label ----------------------------------------------------------- 1501 1. Yes 33 5. No 9. NA 180 0. Inap, no Post IW ============================== VAR V960925 NUMERIC CSheet.26. POST-ELECTION COVERSHEET,CS Item 4. I need to verify that your full name is [Name of Respondent]. I also need to verify that you were born on [Birth month and year]. R NAME, BIRTH, AND GENDER ARE: ----------------------------------------------------------- 1494 1. Identical to Sample Label 12 5. Not identical 9. NA 180 0. Inap, no Post IW ============================== VAR V960926 NUMERIC CSheet.27. POST-ELECTION COVERSHEET, CS Item 5. Describe the type of structure in which the respondent lives ----------------------------------------------------------- Note that in some telephone cases the interviewer was still able to make this observation during the calls made. 71 1. Mobile home 924 2. Detached single family 55 3. Multi-family 171 4. Apartment house 45 5. Condo complex 114 7. Other (specify) 8. DK 9. NA, Inap, no Post IW 35 0. Phone case and no observation made ============================== VAR V960927 NUMERIC CSheet.28. POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6c. Did R refuse initially? ----------------------------------------------------------- An error in the skip logic was printed on Post paper coversheets, and in many interview cases items 6c and 6d were not completed by the interviewer. An attempt was made to recover information by reviewing call record information for cases which were missing data in these 2 variables. 36 1. Yes 1497 5. No 9. NA 180 0. Inap, no Post IW ============================== VAR V960928 NUMERIC CSheet.29 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6d. Did R break any appointment? ----------------------------------------------------------- An error in the skip logic was printed on Post paper coversheets, and in many interview cases items CD3c and CD3d were not completed by the interviewer. An attempt was made to recover information by reviewing call record information for cases which were missing data in these 2 variables. 1280 0. None 197 1. One 56 2. Two or more 9. NA; Inap, no Post IW ============================== VAR V960929 NUMERIC CSheet.30 IF R HAS MADE CONTACT WITH SOMEONE AT THE HOUSHOLD UNIT/ PHONE NUMBER: POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6a. Was there resistance from this person? ----------------------------------------------------------- This question can refer to resistance from anyone contacted at the HU. 106 1. Yes 1428 5. No 9. NA 180 0. Inap, no Post IW ============================== VAR V960930 NUMERIC CSheet.31 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(1). If there was any resistance from the R, what reasons were given: . . . (A) Surveys are a waste of time; previous bad experience ----------------------------------------------------------- 1 1. Marked 1533 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960931 NUMERIC CSheet.32 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(2). If there was any resistance from the R, what reasons were given: . . . (B) Very ill ----------------------------------------------------------- 6 1. Marked 1528 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960932 NUMERIC CSheet.33 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(3). If there was any resistance from the R, what reasons were given: . . . (C) 'Too busy' ----------------------------------------------------------- 30 1. Marked 1504 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960933 NUMERIC CSheet.34 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(4). If there was any resistance from the R, what reasons were given: . . . (D) Stressful family situation ----------------------------------------------------------- 6 1. Marked 1528 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960934 NUMERIC CSheet.35 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(5). If there was any resistance from the R, what reasons were given: . . . (E) Confidentiality ----------------------------------------------------------- 1 1. Marked 1533 5. Not marked 9. NA 180 0. Inap,no Post IW ============================== VAR V960935 NUMERIC CSheet.36 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(6). If there was any resistance from R, what reasons were given: . . . (F) Invasion of privacy ----------------------------------------------------------- 2 1. Marked 1532 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960936 NUMERIC CSheet.37 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(7). If there was any resistance from the R, what reasons were given: . . . (G) No reason given ----------------------------------------------------------- 19 1. Marked 1515 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960937 NUMERIC CSheet.38 POST-ELECTION COVERSHEET CONTACT DESCRIPTION PAGE, Item 6e(8). If there was any resistance from the R, what reasons were given: . . . (H) Other (specify) ----------------------------------------------------------- 29 1. Marked 1505 5. Not marked 9. NA 180 0. Inap, no Post IW ============================== VAR V960938 NUMERIC CSheet.39 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z1. Other persons present at the interview were (CHECK ALL THAT APPLY): ----------------------------------------------------------- 649 1. No one (NO OTHER BOX CHECKED) 60 2. Children under 6 only 48 3. Older children only 12 4. Children under 6 and older chldren 75 5. Spouse only 13 6. Spouse and children under 6 20 7. Spouse and older children 8. Spouse, children under 6, older children 566 9. Other relatives only 7 10. Other relatives and children under 6 1 11. Other relatives and older children 12. Other relatives, children under 6, older children 4 13. Other relatives and spouse 2 14. Other relatives, spouse, children under 6 1 15. Other relatives, spouse, older children 16. Other relatives, spouse, children under 6, older children 41 17. Other adults only 5 18. Other adults and children under 6 5 19. Other adults and older children 3 20. Other adults, children under 6, older children 1 21. Other adults and spouse 2 22. Other adults, spouse, children under 6 23. Other adults, spouse, older children 1 24. Other adults, spouse, children under 6, older children 2 25. Other adults and other relatives 26. Other adults, other relatives, children under 6 2 27. Other adults, other relatives, older children 28. Other adults, other relatives, children under 6, older children 29. Other adults, other relatives, spouse 1 30. Other adults, other relatives, spouse, children under 6 31. Other adults, other relatives, spouse, older children 1 32. Other adults, other relatives, spouse, children under 6, older children (ALL BOXES CHECKED) 99. NA 180 00. Inap, no Post IW ============================== VAR V960939 NUMERIC CSheet.40 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z2. R's cooperation was: ----------------------------------------------------------- 938 1. Very good 465 2. Good 75 3. Fair 4 4. Poor 2 5. Very poor 9. NA 180 0. Inap, no Post IW ============================== VAR V960940 NUMERIC CSheet.41 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z3. R's general level of information about politics and public affairs seemed: ----------------------------------------------------------- 179 1. Very high 434 2. Fairly high 544 3. Average 241 4. Fairly low 87 5. Very low 9. NA 180 0. Inap, no Post IW ============================== VAR V960941 NUMERIC CSheet.42 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z4. Rate R's apparent intelligence: ----------------------------------------------------------- 168 1. Very high 573 2. Fairly high 667 3. Average 72 4. Fairly low 5 5. Very low 9. NA 180 0. Inap, no Post IW ============================== VAR V960942 NUMERIC CSheet.43 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z5. How suspicious did R seem to be about the study, before the interview? ----------------------------------------------------------- 1446 1. Not at all suspicious 38 3. Somewhat suspicious 1 5. Very suspicious 9. NA 180 0. Inap, no Post IW ============================== VAR V960943 NUMERIC CSheet.44 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z6. Overall, how great was R's interest in the interview? ----------------------------------------------------------- 294 1. Very high 511 2. Above average 552 3. Average 104 4. Below average 22 5. Very low 9. NA 180 0. Inap, no Post IW ============================== VAR V960944 NUMERIC CSheet.45 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z7. How sincere did R seem to be in (his/her) answers? ----------------------------------------------------------- 1431 1. Completely sincere 40 2. Usually sincere 10 3. Often seemed to be insincere 9. NA 180 0. Inap, no Post IW ============================== VAR V960945 NUMERIC CSheet.46 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <1st mention> ----------------------------------------------------------- 15 10. Negative - general 87 11. Negative - too long 9 12. Negative - too complicated 14 13. Negative - boring/tedious/repetitious 3 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 26 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 18 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 21 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 44 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 5 40. R was agitated or stressed by interview process 13 41. R became angry at interview CONTENT 3 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 7 50. R could not read Respondent Booklet 1037 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 170 80. Neutral or no feedback (1st mention only) 99. NA 180 00. Inap, no Post IW ============================== VAR V960946 NUMERIC CSheet.47 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <2nd mention> ----------------------------------------------------------- 10. Negative - general 3 11. Negative - too long 8 12. Negative - too complicated 16 13. Negative - boring/tedious/repetitious 2 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 10 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 11 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 14 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 21 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 7 40. R was agitated or stressed by interview process 5 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 3 50. R could not read Respondent Booklet 96 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960947 NUMERIC CSheet.48 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <3rd mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 1 12. Negative - too complicated 3 13. Negative - boring/tedious/repetitious 9 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 1 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 6 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 2 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 9 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 4 40. R was agitated or stressed by interview process 2 41. R became angry at interview CONTENT 1 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 5 50. R could not read Respondent Booklet 27 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960948 NUMERIC CSheet.49 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <4th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 2 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 3 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 1 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 5 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 4 40. R was agitated or stressed by interview process 1 41. R became angry at interview CONTENT 2 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 1 50. R could not read Respondent Booklet 7 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960949 NUMERIC CSheet.50 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <5th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 2 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 1 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 3 40. R was agitated or stressed by interview process 1 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 1 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960950 NUMERIC CSheet.51 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <6th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 1 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 2 40. R was agitated or stressed by interview process 2 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 1 50. R could not read Respondent Booklet 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960951 NUMERIC CSheet.52 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <7th mention> ----------------------------------------------------------- 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 1 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 1 50. R could not read Respondent Booklet 1 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960952 NUMERIC CSheet.53 POST-ELECTION COVERSHEET INTERVIEWER'S SUPPLEMENT, Item Z8. What was R's reaction to interview, after completion or expressed during interview? (CIRCLE ALL THAT APPLY.) <8th mention> ----------------------------------------------------------- Note that 8 was the maximum number of reactions recorded by Post interviewers. 10. Negative - general 11. Negative - too long 12. Negative - too complicated 13. Negative - boring/tedious/repetitious 15. R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed 20. R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R 22. R complained and/or interviewer observed that R was confused by questions, "couldn't understand the scales," R was slow reader or non- reader; interview was obviously hard for R 30. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of knowledge or own suitability for interview 31. R expressed (especially repeatedly) doubts/apologies/embarrassment over lack of POLITICAL knowledge: candidates, names, elections issues, or own lack of political participation 1 40. R was agitated or stressed by interview process 41. R became angry at interview CONTENT 45. R became concerned about sampling purpose or bias: "why do you come to old folks home?" "why THIS neighborhood?" "why/why not blacks/hispanics?" "why me?" etc. 50. R could not read Respondent Booklet 1 70. R appeared to enjoy the interview (R was "cooperative"/ "interested"/ "pleasant," etc.) 00. Inap, no Post IW; no further mention ============================== VAR V960953 NUMERIC IWR.10 Post Interviewer of record ID ----------------------------------------------------------- Interviewer's 4-digit ID and: 9999. NA 0000. Inap, no post IW ============================== VAR V960954 NUMERIC IWR.13 Post Supervisor ID ----------------------------------------------------------- Field Supervisor's 4-digit ID and: 9999. NA 0000. Inap, no post IW ============================== VAR V960955 NUMERIC IWR.14 Post Interviewer gender ----------------------------------------------------------- 207 1. Male 1327 2. Female 9. NA 180 0. Inap, no post IW ============================== VAR V960956 NUMERIC IWR.15 Post Interviewer education ----------------------------------------------------------- 1. 1-8 grades 2. Some high school 114 3. High school graduate 560 4. Some college 611 5. College degree 217 6. Master's degree 32 7. PhD 9. NA 180 0. Inap, no post IW ============================== VAR V960957 NUMERIC IWR.16 Post Interviewer race ----------------------------------------------------------- 1413 1. White 69 2. Black 30 3. Native American 4. Asian 15 7. Other 9. NA 180 0. Inap, no post IW ============================== VAR V960958 NUMERIC IWR.17 Post Interviewer ethnicicty ----------------------------------------------------------- 1091 0. No ethnic identity coded 64 1. Hispanic 378 7. Other 9. NA; Inap, no Post IW ============================== VAR V960959 NUMERIC IWR.18 Post Interviewer languages ----------------------------------------------------------- 1352 0. English (only) 111 1. Spanish 71 7. Other 9. NA; Inap, no Post IW ============================== VAR V960960 NUMERIC IWR.19 Post Interviewer experience ----------------------------------------------------------- Interviewer's years of experience, and: 99. NA; no Post IW ============================== VAR V960961 NUMERIC IWR.20 Post interviewer age (bracketed) ----------------------------------------------------------- 147 1. 18-34 years 107 2. 35-40 years 248 3. 41-45 years 317 4. 46-50 years 162 5. 51-55 years 149 6. 56-60 years 226 7. 61-64 years 178 8. 65-79 years 9. NA 180 0. Inap, no post IW ============================== VAR V961001 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? ----------------------------------------------------------- 489 1. Very much interested 801 3. Somewhat interested 244 5. Not much interested 8. DK 9. NA 180 0. Inap, no post IW ============================== VAR V961002 NUMERIC A2 Did you watch any programs about the campaign on television? ----------------------------------------------------------- 1162 1. Yes 372 5. No 8. DK 9. NA 180 0. Inap, no post IW ============================== VAR V961003 NUMERIC A2a IF R WATCHED PROGRAMS ABOUT THE CAMPAIGNS ON TV: Would you say you watched A GOOD MANY, SEVERAL, or JUST ONE OR TWO? ----------------------------------------------------------- 224 1. A good many 506 3. Several 432 5. Just one or two 8. DK 9. NA 552 0. Inap, 5,8,9 in A2; no post IW ============================== VAR V961004 NUMERIC A3 Do you ever discuss politics with your family or friends? ----------------------------------------------------------- 1202 1. Yes 332 5. No 8. DK 9. NA 180 0. Inap, no post IW ============================== VAR V961005 NUMERIC A3a IF R DISCUSSES POLITICS WITH FAMILY OR FRIENDS: How many days in the past week did you talk about politics with family or friends? ----------------------------------------------------------- 245 0. None 212 1. One day 263 2. Two days 162 3. Three days 83 4. Four days 68 5. Five days 29 6. Six days 138 7. Every day 8. DK 512 9. NA; Inap, 5,8,9 in A3; no post IW ============================== VAR V961006 NUMERIC A4 Do you happen to remember the names of the candidates for Congress -- that is, for the House of Representatives in Washington -- who ran in the November election from this district? ----------------------------------------------------------- 922 1. Yes 610 5. No 8. DK 9. NA 180 0. Inap, no post IW ============================== VAR V961007 NUMERIC A4a(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: "Any others?"] 1ST RECALLED NAME ----------------------------------------------------------- 30 31. Democratic candidate in open race 28 32. Republican candidate in open race 254 33. Democratic incumbent 360 34. Republican incumbent 56 35. Democratic challenger 19 36. Republican challenger 168 97. Name given not on candidate list for this race 98. DK 99. NA 792 00. Inap, 5,8,9 in A4; no post IW; Washington DC ============================== VAR V961008 NUMERIC A4b(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What is [NAME'S] party? RECALLED PARTY OF FIRST RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. 438 1. Democrat 470 2. Republican 7. Other party (specify) 8. DK 9. NA 792 0. Inap, 5,8,9 in A4; no post IW ============================== VAR V961009 NUMERIC A4c(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 1ST RECALLED CANDIDATE ----------------------------------------------------------- Built from A4a(1). 340 1. Democratic candidate (31,33,35) 407 2. Republican candidate (32,34,36) 168 7. Name given not on candidate list (97) 8. DK (98) 9. NA (99) 792 0. Inap, 5,8,9 in A4; no post IW ============================== VAR V961010 NUMERIC A4x(1) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 1ST RECALL ACCURACY ----------------------------------------------------------- Built from A4a(1), A4b(1). 690 1. Valid candidate name given and correct party associated with name 48 2. Valid candidate name given but incorrect party associated with name 9 3. Valid candidate name given, DK or NA for party associated with name 163 4. Invalid candidate name given with any mention of party associated with name 5 5. Invalid candidate name given with DK or NA for party associated with name 7 6. No candidate name given (DK or NA) - any party mention 7. No candidate name given (DK), DK or NA for party mention (first mention only) No candidate name mentioned (NA), DK for party mention (first mention only) 9. NA for candidate name and NA for party mention 792 0. Inap, 5,8,9 in A4; no post IW ============================== VAR V961011 NUMERIC A4a(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] 2ND RECALLED NAME ----------------------------------------------------------- 15 31. Democratic candidate in open race 24 32. Republican candidate in open race 25 33. Democratic incumbent 62 34. Republican incumbent 200 35. Democratic challenger 118 36. Republican challenger 157 97. Name given not on candidate list for this race 98. DK 99. NA 1092 00. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961012 NUMERIC A4b(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What was [NAME'S] party? RECALLED PARTY OF 2ND RECALLED CANDIDATE ----------------------------------------------------------- This codes the party which R identified in association with name recalled. 326 1. Democrat 290 2. Republican 7. Other party (specify) 8. DK 2 9. NA 1092 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961013 NUMERIC A4c(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 2ND RECALLED CANDIDATE ----------------------------------------------------------- Built from A4a(2). 240 1. Democratic candidate (31,33,35) 204 2. Republican candidate (32,34,36) 157 7. Name given not on candidate list (97) 8. DK (98) 9. NA (99) 1092 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961014 NUMERIC A4x(2) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 2ND RECALL ACCURACY ----------------------------------------------------------- Built from A4a(2), A4b(2). 420 1. Valid candidate name given and correct party associated with name 22 2. Valid candidate name given but incorrect party associated with name 2 3. Valid candidate name given, DK or NA for party associated with name 153 4. Invalid candidate name given with any mention of party associated with name 4 5. Invalid candidate name given with DK or NA for party associated with name 21 6. No candidate name given (DK or NA) - any party mention 9. NA for candidate name and NA for party mention 1092 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961015 NUMERIC A4a(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] 3RD RECALLED NAME ----------------------------------------------------------- 5 31. Democratic candidate in open race 1 32. Republican candidate in open race 2 33. Democratic incumbent 10 34. Republican incumbent 3 35. Democratic challenger 4 36. Republican challenger 49 97. Name given not on candidate list for this race 98. DK 99. NA 1640 00. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961016 NUMERIC A4b(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: What was [NAME'S] party? RECALLED PARTY OF 3RD RECALLED CANDIDATE ----------------------------------------------------------- 38 1. Democrat 35 2. Republican 7. Other party (specify) 8. DK 9. NA 1640 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961017 NUMERIC A4c(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] ACTUAL PARTY - 3RD RECALLED CANDIDATE ----------------------------------------------------------- Built from A4a(3). 10 1. Democratic candidate (31,33,35) 15 2. Republican candidate (32,34,36) 49 7. Name given not on candidate list (97) 8. DK (98) 9. NA (99) 1640 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961018 NUMERIC A4x(3) IF R SAYS RECALLS NAMES OF HOUSE CANDIDATES: Who were they? [PROBE: Any others?] What was [NAME'S] party? 3RD RECALL ACCURACY ----------------------------------------------------------- Built from A4a(3), A4b(3). 24 1. Valid candidate name given and correct party associated with name 1 2. Valid candidate name given but incorrect party associated with name 3. Valid candidate name given, DK or NA for party associated with name 48 4. Invalid candidate name given with any mention of party associated with name 1 5. Invalid candidate name given with DK or NA for party associated with name 6. No candidate name given (DK or NA) - any party mention 9. NA for candidate name and NA for party mention 1640 0. Inap, 5,8,9 in A4; no post IW; no further mention ============================== VAR V961019 NUMERIC B1 Please look at page 1 of the booklet. I'd like to get your feelings toward some of our political leaders and other people who are in the news these days. I'll read the name of a person and I'd like you to rate that person using something we call the feeling thermometer. Ratings between 50 degrees and 100 degrees mean that you feel favorable and warm toward the person. Ratings between 0 degrees and 50 degrees mean that you don't feel favorable toward that person and that you don't care too much for that person. You would rate the person at the 50 degree mark if you don't feel particular warm or cold toward the person. If we come to a person whose name you don't recognize, you don't need to rate that person. Just tell me and we'll move on to the next one. ----------------------------------------------------------- B1a [RB] (How would you rate) BILL CLINTON? BILL CLINTON THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961020 NUMERIC B1b [RB] (How would you rate) BOB DOLE BOB DOLE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961021 NUMERIC B1c [RB] (How would you rate) ROSS PEROT ROSS PEROT THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of Presidential candidate names B1a-B1c was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961022 NUMERIC B1a1 [RB] (How would you rate) [NAME #31,#33,#35]? DEMOCRATIC HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of names House candidate names B1a1-B1b1 was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no Democratic House candidate (type race 24); Washington DC; no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961023 NUMERIC B1b1 [RB] (How would you rate) [NAME #32,#34,#36]? REPUBLICAN HOUSE CANDIDATE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of names House candidate names B1a1-B1b1 was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no Republican House candidate (type race 14); Washington DC; no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961024 NUMERIC B1c1 [RB] (How would you rate) [NAME #41,#42]? RETIRING HOUSE REPRESENTATIVE THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Retiring House Representative was always 6th name administered (not randomized). Ratings 0-100 and: 996. Inap, no retiring House representative (type race 12,14,21,24); Washington DC; no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR V961025 NUMERIC B1d [RB] (Still using the thermometer how would you rate) THE SUPREME COURT SUPREME COURT - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961026 NUMERIC B1e [RB] (How would you rate) CONGRESS CONGRESS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961027 NUMERIC B1f [RB] (How would you rate) THE MILITARY THE MILITARY - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961028 NUMERIC B1g [RB] (How would you rate) THE FEDERAL GOVERNMENT IN WASHINGTON FEDERAL GOVERNMENT IN WASHINGTON - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961029 NUMERIC B1h [RB] (How would you rate) BLACKS BLACKS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961030 NUMERIC B1j [RB] (How would you rate) WHITES WHITES - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961031 NUMERIC B1k [RB] (How would you rate) CONSERVATIVES CONSERVATIVES - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961032 NUMERIC B1L [RB] (How would you rate) LIBERALS LIBERALS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961033 NUMERIC B1m [RB] (How would you rate) LABOR UNIONS LABOR UNIONS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA ============================== VAR V961034 NUMERIC B1n [RB] (How would you rate) BIG BUSINESS BIG BUSINESS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961035 NUMERIC B1p [RB] (How would you rate) POOR PEOPLE POOR PEOPLE - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961036 NUMERIC B1q [RB] (How would you rate) PEOPLE ON WELFARE PEOPLE ON WELFARE - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961037 NUMERIC B1r (How would you rate) HISPANICS (HISPANIC-AMERICANS) HISPANICS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961038 NUMERIC B1s [RB] (How would you rate) CHRISTIAN FUNDAMENTALISTS CHRISTIAN FUNDAMENTALISTS- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961039 NUMERIC B1t [RB] (How would you rate) THE WOMEN'S MOVEMENT THE WOMEN'S MOVEMENT- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961040 NUMERIC B1u [RB] (How would you rate) OLDER PEOPLE (THE ELDERLY) OLDER PEOPLE- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961041 NUMERIC B1v [RB] (How would you rate) ENVIRONMENTALISTS ENVIRONMENTALISTS- THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961042 NUMERIC B1w [RB] (How would you rate) GAY MEN AND LESBIANS, HOMOSEXUALS GAY MEN AND LESBIANS - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961043 NUMERIC B1x [RB] (How would you rate) THE CHRISTIAN COALITION THE CHRISTIAN COALITION - THERMOMETER RATING ----------------------------------------------------------- See B1 for complete question text. Order of group and other names B1d-B1x was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. Ratings 0-100 and: 996. Inap, no post IW 997. R doesn't recognize name 998. DK where to rate; can't judge 999. NA; RF ============================== VAR V961044 NUMERIC C1 (Next I would like to ask you some questions about the candidates who ran in this district for the U.S. House of Representatives.) Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------- Introductory sentence precedes question text only if first name. Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 437 1. Yes 722 5. No 314 7. "I don't know anything about this candidate" 8. DK 9 9. NA 229 0. Inap, no Democratic House candidate (type race 24); Washington DC; no Post IW ============================== VAR V961045 NUMERIC C1a(1) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 8888. NA 0000. Inap, 5,7,8,9 in C1; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR V961046 NUMERIC C1a(2) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR V961047 NUMERIC C1a(3) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR V961048 NUMERIC C1a(4) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR V961049 NUMERIC C1a(5) IF R SAYS THERE IS SOMETHING R LIKES ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #31,#33,#35] the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE.) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C1; no further mention; no Democratic House candidate (type race 24); Washington DC; no post IW ============================== VAR V961050 NUMERIC C2 Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 297 1. Yes 861 5. No 8. DK 10 9. NA 543 0. Inap, 7 in C1; no Democratic House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961051 NUMERIC C2a(1) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 7 in C1; 5,8,9 in C2; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR V961052 NUMERIC C2a(2) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR V961053 NUMERIC C2a(3) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR V961054 NUMERIC C2a(4) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR V961055 NUMERIC C2a(5) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE DEMOCRATIC HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #31,#33,#35], the Democratic candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C1; 5,8,9 in C2; no further mention; no Democratic House candidate (type race 14); Washington DC; no post IW; ============================== VAR V961056 NUMERIC C3 Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 478 1. Yes 722 5. No 301 7. "I don't know anything about this candidate" 8. DK 10 9. NA; RF 198 0. Inap, no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961057 NUMERIC C3a(1) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 0000. Inap, 5,7,8,9 in C3; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961058 NUMERIC C3a(2) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961059 NUMERIC C3a(3) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961060 NUMERIC C3a(4) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961061 NUMERIC C3a(5) IF R SAYS THERE IS SOMETHING R LIKED ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you LIKED about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you liked about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 5,7,8,9 in C3; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961062 NUMERIC C4 Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 263 1. Yes 939 5. No 8. DK 9 9. NA; RF 499 0. Inap, 7 in C3; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961063 NUMERIC C4a(1) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 1] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 9998. DK 9999. NA 0000. Inap, 7 in C3; 5,8,9 in C4; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961064 NUMERIC C4a(2) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 2] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961065 NUMERIC C4a(3) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 3] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961066 NUMERIC C4a(4) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 4] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961067 NUMERIC C4a(5) IF R SAYS THERE IS SOMETHING R DIDN'T LIKE ABOUT THE REPUBLICAN HOUSE CANDIDATE: Was there anything in particular that you DIDN'T LIKE about [NAME #32,#34,#36], the Republican candidate for the U.S. House of Representatives? (What was that?) (PROBE: "Anything else that you didn't like about this candidate?" UNTIL R SAYS NONE) [MENTION 5] ----------------------------------------------------------- Order of 2 major party House candidates randomized in C1- C4; 'likes' always precede 'dislikes' for each candidate. See PARTY-CANDIDATE Master Code. Codes 0001-9997 and: 0000. Inap, 7 in C3; 5,8,9 in C4; no further mention; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961068 NUMERIC C5a IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: Do you happen to know if either of these candidates [NAME #31,#33,#35] or [NAME #32,#34,#36] was already in the U. S. House of Representatives before the election? ----------------------------------------------------------- (NOTE: PROBE IF R ANSWERS 'NO': Do you mean "neither" or "don't know"?) Order in question text of Democratic and Republican House candidate names was randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 458 1. Yes, Democratic candidate was 570 2. Yes, Republican candidate was 5 3. Both [VOLUNTEERED] 75 5. Neither of them was 351 7. No, don't know; not sure 9. NA; RF 246 0. Inap, only one major party House candidate (type race 14 or 24) or Washington DC; no post IW ============================== VAR V961069 NUMERIC C5a(1) IF R CONGRESSIONAL DISTRICT RACE INCLUDES 2 MAJOR PARTY CANDIDATES: IF R HAS IDENTIFIED 1 HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (2-CANDIDATE RACE) ----------------------------------------------------------- Built from C5a. 19 31. Democratic candidate in open race 14 32. Republican candidate in open race 424 33. Democratic incumbent 548 34. Republican incumbent 15 35. Democratic challenger 8 36. Republican challenger 5 90. Both [VOL] 00. Inap, 0,5,7,9 in C5a ============================== VAR V961070 NUMERIC C5b IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: Do you happen to know if [NAME #31,33,32,34] was already in the House of Representatives before the election? ----------------------------------------------------------- (NOTE: PROBE IF R ANSWERS 'NO': Do you mean "no he wasn't" or "don't know"?) 31 1. Yes, candidate was 8 5. No, candidate was not 5 7. No, don't know; not sure 9. NA 1666 0. Inap, two major party House candidates in race (type race 12,21,55 or 65) or Washington DC; no post IW ============================== VAR V961071 NUMERIC C5b(1) IF R'S CONGRESSIONAL DISTRICT RACE INCLUDES ONLY 1 MAJOR PARTY CANDIDATE: IF R HAS IDENTIFIED HOUSE CANDIDATE AS INCUMBENT: CODE OF HOUSE CANDIDATE RECALLED AS INCUMBENT (UNOPPOSED RACE) ----------------------------------------------------------- Built from C5b. 31. Democratic candidate in open race 32. Republican candidate in open race 33. Democratic incumbent 31 34. Republican incumbent 35. Democratic challenger 36. Republican challenger 00. Inap, 0,5,7,9 in C5b ============================== VAR V961072 NUMERIC C6 Do you happen to know which party had the most members IN THE HOUSE OF REPRESENTATIVES in Washington before the election (this/last) month? (IF NECESSARY: "Which one?") ----------------------------------------------------------- 145 1. The Democrats 1151 5. The Republicans 8. DK 9. NA 180 0. Inap, no post IW ============================== VAR V961073 NUMERIC C7 Do you happen to know which party had the most members IN THE U.S. SENATE before the election (this/last) month? (IF NECESSARY: "Which one?") ----------------------------------------------------------- 130 1. The Democrats 1097 5. The Republicans 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961074 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? ----------------------------------------------------------- 1175 1. Yes, voted 359 5. No, didn't vote 6. R refused to say whether voted 8. DK 9. NA 180 0. Inap, no post IW ============================== VAR V961075 NUMERIC D2 IF R DID NOT VOTE: Were you registered to vote in this election? ----------------------------------------------------------- 170 1. Yes 188 5. No 8. DK 9. NA 1355 0. Inap, R voted (1 in D1); no post IW ============================== VAR V961076 NUMERIC D3/D3x IF R IS VOTER / IF R IS REGISTERED NONVOTER: Your residence is located in [county]. Are you registered to vote in [county]? ----------------------------------------------------------- 1285 1. Yes, registered in county 60 5. No, registered in another county 8. DK 9. NA 369 0. Inap, R not registered (5,8,9 in D2); no post IW ============================== VAR V961077 CHARACTER D3a IF R IS NOT REGISTERED IN COUNTY OF INTERVIEW: In what county and state are you registered? ----------------------------------------------------------- This variable has been blanked to protect the confidentiality of the respondent. ============================== VAR V961078 NUMERIC D4 IF R VOTED: Did you vote on election day -- that is, November 5th 1996, or did you vote at some time before that? ----------------------------------------------------------- 1024 1. On election day 151 5. Some time before 8. DK 9. NA 539 0. Inap, R did not vote (5,6,8,9 in D1); no post IW ============================== VAR V961079 NUMERIC D4a IF R VOTED: IF R VOTED BEFORE ELECTION DAY: How long before November 5th did you vote? (PROBE: "A few days, a week, longer than that?") ----------------------------------------------------------- 47 1. Less than one week, 1-6 days 43 2. One week; 7 days 40 3. 1-2 weeks; 8-14 days 11 4. 2-3 weeks; 15-21 days 1 5. 3-4 weeks; 22-28 days 3 6. One month; 29-31 days 7. More than one month; 32-60 days 2 11. A few days; a couple of days; several days -- NFS 2 12. A few weeks; a couple of weeks; several weeks -- NFS 91. More than a few days -- NFS 92. More than a few weeks --NFS 1 97. Other 98. DK; not sure 99. NA 1563 00. Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D4); no post IW ============================== VAR V961080 NUMERIC D5 IF R VOTED: IF R VOTED BEFORE ELECTION DAY: Did you vote in person or by absentee ballot? ----------------------------------------------------------- 54 1. In person 97 5. By absentee 8. DK 9. NA 1563 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not before election day (1,8,9 in D4); no post IW ============================== VAR V961081 NUMERIC D7 IF R VOTED: How about the election for President? Did you vote for a candidate for PRESIDENT? ----------------------------------------------------------- 1160 1. Yes, voted for President 15 5. No, didn't vote for President 8. DK 9. NA 539 0. Inap, R did not vote (5,6,8,9 in D1); no post IW ============================== VAR V961082 NUMERIC D8 IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: Who did you vote for? ----------------------------------------------------------- 600 1. Bill Clinton 434 2. Bob Dole 82 3. Ross Perot 18 7. Other 8. Refused 1 9. NA 554 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW ============================== VAR V961083 NUMERIC D8a IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: Would you say that your preference for this candidate was STRONG or NOT STRONG? ----------------------------------------------------------- 791 1. Strong 341 5. Not strong 8. DK 9. NA 580 0. Inap, 8,9 in D8; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW ============================== VAR V961084 NUMERIC D9 IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: How long before the election did you decide that you were going to vote the way you did? ----------------------------------------------------------- 322 01. Knew all along/from the first; always vote for the same party; before the convention/nomination (no mention of Clinton, Dole or Perot); before the primaries; 9 months or more 148 02. Before the convention because of Clinton's, Dole's or Perot's candidacy; as soon as Clinton/Dole/Perot said he would run; "months before"; "early on"; "long time/quite a bit before the election" 105 03. At the time of the Republican convention/ when Dole was nominated; just after the Republican convention; 3 months; July; "a few months";"2-3 months" 49 04. During the Democratic convention when Clinton was nominated; just after the Democratic convention; 4 months; August 75 05. After the convention(s); during the campaign (NFS); 2 months; "a couple of months"; September 19 06. Five to seven weeks before the election 88 07. One month; three weeks; October; after the Presidential debates 37 08. About two weeks before the election; "ten days" 95 09. In the last few days of the campaign; the last part of it 73 10. On election day 117 11. During/after the primaries (not codeable in 02); "several months"; 5-8 months 12. After the vice-presidential debate 3 97. Other 98. DK 2 99. NA 580 00. Inap, 8,9 in D8; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); no Post IW ============================== VAR V961085 NUMERIC D10(1) IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: If you could have cast more than one vote in the Presidential election this (past) November, is there any other candidate you would have found acceptable and have voted for? [MENTION 1] ----------------------------------------------------------- [NOTE: IWR INSTRUCTION: DON'T TAKE THE SAME NAME TWICE.] 52 1. Bill Clinton 62 2. Bob Dole 160 3. Ross Perot 691 4. No other candidate [VOL] (1st mention only) 168 7. Other (specify) 8. DK 9. NA 580 0. Inap, R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); 8,9 in D8; no Post IW ============================== VAR V961086 NUMERIC D10(2) IF R VOTED: IF R VOTED FOR CANDIDATE FOR PRESIDENT: If you could have cast more than one vote in the Presidential election this (past) November, is there any other candidate you would have found acceptable and have voted for? [MENTION 2] ----------------------------------------------------------- [NOTE: IWR INSTRUCTION: DON'T TAKE THE SAME NAME TWICE.] 1. Bill Clinton 2. Bob Dole 3. Ross Perot 7. Other (specify) 8. DK 9. NA 1714 0. Inap, no further mention; R did not vote (5,6,8,9 in D1); R voted but not for President (5,8,9 in D7); 8,9 in D8; 4 in D10(1); no Post IW ============================== VAR V961087 NUMERIC D11/D11x IF R VOTED: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? [DO NOT SHOW BALLOT CARD] How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you vote for a candidate for the U.S. House of Representatives? ----------------------------------------------------------- If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 1079 1. Yes 85 5. No 8. DK; refused 5 9. NA 539 0. Inap, no post IW; R did not vote (5,8,9 in D1) ============================== VAR V961088 NUMERIC D11a/D11xa IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? CANDIDATE CODE OF HOUSE VOTE ----------------------------------------------------------- Code 97 includes cases where R volunteered that he/she voted "a straight ticket" but no candidate for R's party ran; it also includes cases where R insists that he/she voted for a specific party's candidate but no candidate from that party ran in R's district. For Rs who voted outside of their interview location, code 97 includes candidates named by R but whose CD and party are not known. It also includes cases where R names a candidate but the name is not among names of candidates within a known 'outside' CD. 30. Third party or independent House candidate on ballot card 60 31. Democratic candidate - open House race 28 32. Republican candidate - open House race 286 33. Democratic House incumbent 387 34. Republican House incumbent 146 35. Democratic House challenger 104 36. Republican House challenger CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Independent or minor party House candidate 2 81. Democratic candidate - open House race 1 82. Republican candidate - open House race 3 83. Democratic House incumbent 7 84. Republican House incumbent 85. Democratic House challenger 2 86. Republican House challenger 1 91. Democrat - no name given 4 92. Republican - no name given 97. Name not on candidate list for this race 98. DK; refused 1 99. NA 635 00. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in House election 5,8,9 in D11/D11x ============================== VAR V961089 NUMERIC D11a(1)/D11x IF R VOTED: IF R VOTED FOR CANDIDATE FOR HOUSE OF REPRESENTATIVES: Who did you vote for? PARTY OF HOUSE VOTE ----------------------------------------------------------- Built from D11a/D11xa. 498 1. Democratic candidate (31,33,35,81,83,85,91) 533 2. Republican candidate (32,34,36,82,84,86,92) 3. Third party/independent candidate (30,80) 18 7. Name given not on Candidate List for that race (97) 8. DK; refused (98) 1 9. NA (99) 635 0. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in House election 5,8,9 in D11/D11x ============================== VAR V961090 NUMERIC D11xx Senate race in state of interview ----------------------------------------------------------- Code 1 includes Kansas, which had 2 Senate races (regular Senate election and a special Senate election). Code 0 includes Washington DC. 726 0. No race in state (AZ, CA, CT, FL, HI, IN, MD, MO, NV, NY, OH, PA, UT, WA, WI) 988 1. Race in state (AL, AR, CO, GA, IL, IA, KS, LA, MA, MI, MN, MS, NE, NH, NJ, NM, NC, OK, OR, SC, SD, TN, TX, VA, WV, WY) ============================== VAR V961090A NUMERIC D11xx(1) Senate race in state of vote ----------------------------------------------------------- This var is coded the same as D11xx (Senate race in state of interview) for all cases where R voted in the same state as state of interview (state in question Sample.1A is not different from state of interview in question Sample.1). 724 0. No race in state (AZ, CA, CT, FL, HI, IN, MD, MO, NV, NY, OH, PA, UT, WA, WI) 990 1. Race in state (AL, AR, CO, GA, IL, IA, KS, LA, MA, MI, MN, MS, NE, NH, NJ, NM, NC, OK, OR, SC, SD, TN, TX, VA, WV, WY) ============================== VAR V961091 NUMERIC D12/D12x IF R VOTED: [SHOW BALLOT CARD] (Still looking at the list of candidates) How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? [DO NOT SHOW BALLOT CARD] How about the election for the United States Senate? Did you vote for a candidate for the U.S. Senate? KANSAS: How about the two elections for the United States Senate? Did you vote for candidates for the U.S. Senate? ----------------------------------------------------------- Some Rs are registered in states other than that of their residence. If R is registered out of state, this variable applies to the out-of-state race (if one occurred), not to any Senate race in R's state of residence (if one occurred). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. For voters residing in Kansas who were registered in the county of their residence (first question format), an exact equivalent of this question was not asked: D12k(1a) and D12k(1b) were asked without a yes/no filter. To include KS in-county voters in this variable, if R voted for one or more candidates in D12k(1a)/D12k(1b) then this variable has been coded Yes. 636 1. Yes 30 5. No 7. R volunteers: No Senate race in state 8. DK; refused 9. NA 1046 0. Inap, no post IW; R did not vote (5,8,9 in D1); no race in state of vote (0 in D11xx(1)) ============================== VAR V961092 NUMERIC D12a/D12xa IF R LOCATION IS NOT KANSAS: IF R VOTED: Who did you vote for? CANDIDATE CODE OF SENATE VOTE ----------------------------------------------------------- For Kansas voters, data for R's vote in the regular senate election have been duplicated here; for vote in special Kansas election, see D12k(1a) and D12k(1b). There were no cases where R was not resident in Kansas but voted in Kansas (outside state of residence), so that no information was lost about the second Senate election in Kansas. 10. Third party or independent Senate candidate on Ballot card 126 11. Democratic candidate in open Senate race 95 12. Republican candidate in open Senate race 77 13. Democratic Senate incumbent 114 14. Republican Senate incumbent 112 15. Democratic Senate challenger 65 16. Republican Senate challenger CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Third party or independent Senate candidate 1 81. Democratic candidate in open Senate race 1 82. Republican candidate in open Senate race 2 83. Democratic Senate incumbent 8 84. Republican Senate incumbent 1 85. Democratic Senate challenger 86. Republican Senate challenger 5 91. Democrat - no name given 4 92. Republican - no name given 97. Name given not on candidate list for this race 98. DK; refused 99. NA 1078 00. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in Senate election; no race in state of vote (0 in D11xx(1)); R voted in Kansas but did not vote in the regular Senate election ============================== VAR V961093 NUMERIC D12a(1)/D12x IF R LOCATION IS NOT KANSAS: IF R VOTED: Who did you vote for? PARTY OF SENATE VOTE ----------------------------------------------------------- Built from D12a/D12xa. For Kansas voters, data for R's vote in the regular senate election have been duplicated here. 324 1. Democratic candidate (11,13,15,81,83,85,91) 287 2. Republican candidate (12,14,16,82,84,86,92) 3. Third party/independent candidate (30,80) 11 7. Name given not on Candidate List for that race (97) 8. DK; refused (98) 9. NA (99) 1078 0. Inap, no post IW; R did not vote (5,8,9 in D1); R did not vote in Senate election; no race in state of vote (0 in D11xx(1)); R voted in Kansas but did not vote in the regular Senate election ============================== VAR V961094 NUMERIC D12k(1a)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS FIRST MENTION - CANDIDATE CODE ----------------------------------------------------------- Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a. If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 93. Democratic candidate in special senate election 94. Republican candidate in special senate election 2 11. Democratic candidate in regular senate election 4 12. Republican candidate in regular senate election CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Third party or independent Senate candidate 81. Democratic candidate in open Senate race 82. Republican candidate in open Senate race 83. Democratic Senate incumbent 84. Republican Senate incumbent 85. Democratic Senate challenger 86. Republican Senate challenger 91. Democrat - no name given 92. Republican - no name given 97. Name given not on Candidate List for this race 98. DK; refused 99. NA 1706 00. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR V961095 NUMERIC D12k(1b)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS FIRST MENTION - PARTY OF VOTE ----------------------------------------------------------- Built from D12k(1a)/D12xk(1a). Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 4 1. Democratic candidate (93,11,81,83,85,91) 4 2. Republican candidate (94,12,82,84,86) 3. Third party/ independent candidate (80) 7. Name given not on Candidate List for this race (97) 8. DK; refused (98) 9. NA (99) 1706 0. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR V961096 NUMERIC D12k(2a)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS SECOND MENTION - CANDIDATE CODE ----------------------------------------------------------- Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 93. Democratic candidate in special senate election 94. Republican candidate in special senate election 2 11. Democratic candidate in regular senate election 12. Republican candidate in regular senate election CODES 80-82: IF R VOTED OUTSIDE DISTRICT OF IW 80. Third party or independent Senate candidate 81. Democratic candidate in open Senate race 82. Republican candidate in open Senate race 83. Democratic Senate incumbent 84. Republican Senate incumbent 85. Democratic Senate challenger 86. Republican Senate challenger 91. Democrat - no name given 92. Republican - no name given 97. Name given not on Candidate List for this race 98. DK; refused 99. NA 1706 00. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted in only 1 KS Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR V961097 NUMERIC D12k(2b)/D12 IF R LOCATION IS KANSAS: IF R VOTED: [BALLOT CARD] We had two Senate races here in Kansas. Which candidates did you vote for? [NO BALLOT CARD] Who did you vote for? KANSAS SECOND MENTION - PARTY CODE ----------------------------------------------------------- Built from D12k(2a)/D12xk(2a). Codes for R'S vote in the regular Kansas senate election have been duplicated in D12a(1). If R responded that he/she was not registered in county of residence, then R was not shown the ballot card and the second question format was used. 4 1. Democratic candidate (93,11,81,83,85,91) 4 2. Republican candidate (94,12,82,84,86,92) 3. Third party/ independent candidate (80) 7. Name given not on Candidate List for this race (97) 8. DK; refused (98) 9. NA (99) 1706 0. Inap, no post IW; R did not vote (5,8,9 in D1); R location not Kansas; R did not vote in Senate election; R voted in only 1 KS Senate election; R voted out of state (not in KS) and no race in other state (0 in D11xx(1)) ============================== VAR V961098 NUMERIC D14 IF R DID NOT VOTE: How about the election for PRESIDENT? Did you prefer one of the candidates for President? ----------------------------------------------------------- 283 1. Yes 76 5. No 8. DK 9. NA 1355 0. Inap, R voted or DK/refused/NA if voted(1,6,8,9 in D1); no post IW ============================== VAR V961099 NUMERIC D14a IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR PRESIDENT: Who did you prefer? ----------------------------------------------------------- 211 1. Clinton 42 3. Dole 29 5. Perot 1 7. Other (specify) 8. DK 9. NA 1431 0. Inap, no preference (5,8,9 in D14); R voted or DK/refused/NA if voted (1,6,8,9 inD1); no post IW ============================== VAR V961100 NUMERIC D14b IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR PRESIDENT: IF R IDENTIFIED PRESIDENTIAL CANDIDATE OF PREFERENCE: Would you say that your preference for this candidate was STRONG or NOT STRONG? ----------------------------------------------------------- 200 1. Strong 83 5. Not strong 8. DK 9. NA 1431 0. Inap, 8,9 in D14a; no preference (5,8,9 in D14); R voted or DK/refused/NA if voted (1,6,8,9 inD1); no post IW ============================== VAR V961101 NUMERIC D15/D15x IF R DID NOT VOTE: [SHOW BALLOT CARD] Here is a list of candidates for the major races in this district. How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you prefer one of the candidates for the U.S. House of Representatives? / How about the election for the House of Representatives. Did you prefer one of the candidates for the U.S. House of Representatives? ----------------------------------------------------------- Unlike previous years, and through an error in the questionnaire, nonvoters not registered in the county of interview were not asked the same version of this question as nonvoters who were registered in the county of interview. Thus, all 'out of county' nonvoters (17 cases) were not shown a ballot card (second version of question). Specifically regarding 'out of county' nonvoters who may have been registered in a CD different from the CD of interview: in past studies, all nonvoters were asked for preference among candidates within the CD of interview, regardless of where they were registered, and the ballot card for CD of interview was presented to R. In 1996 no ballot card was shown and no other identification of CD for candidate preference was offered to nonvoters registered in a different CD. Among the 17 'out of county' nonvoters, no clear indication was found within respondents' answers of preference for candidates from CDs other than CD of interview, however it is unclear how the 'out of county' nonvoter responses would have differed if the ballot card had been shown. 171 1. Yes 183 5. No 8. DK 9. NA 1355 0. Inap, R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW ============================== VAR V961102 NUMERIC D15a/D15xa IF R DID NOT VOTE: IF R PREFERRED ONE OF THE CANDIDATES FOR HOUSE: Which candidate was that?/ Which candidate did you prefer? CANDIDATE CODE OF HOUSE PREFERENCE ----------------------------------------------------------- 17 31. Democratic House candidate in open race 8 32. Republican House candidate in open race 56 33. Democratic House incumbent 55 34. Republican House incumbent 22 35. Democratic challenger 10 36. Republican challenger 3 97. Name not on candidate list for this race 98. DK 99. NA 1543 00. Inap, no preference (5,8,9 in D15); R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW ============================== VAR V961103 NUMERIC D15a(1) IF R DID NOT VOTE: IF R PREFERRED ONE CANDIDATE FOR HOUSE RACE: Which candidate was that?/Which candidate did you prefer? PARTY CODE OF HOUSE PREFERENCE ----------------------------------------------------------- Build from D15/D15x and D15a/D15xa. 95 1. Democratic candidate (31,33,35) 73 2. Republican candidate (32,34,36) 3 7. Name given not on Candidate List for that race (97) 8. DK (98) 9. NA (99) 1543 0. Inap, no preference (5,8,9 in D15); R voted or DK/refused/NA if voted (1,6,8,9 in D1); no post IW ============================== VAR V961104 NUMERIC D30/S30 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half of the respondents were randomly selected for administration of question D30a-D30g; the other half sample were administered S30a-S30g. 769 0. R selected for administration of S30a- S30g 765 1. R selected for administration of D30a- D30g 9. Inap, no Post IW ============================== VAR V961105 NUMERIC D30/S30 Now I am going to ask you what you think of the government's current activities in various areas of environmental policy. In each case, just tell me whether you think the government should put less, the same amount, or more effort into that area than it does now. ----------------------------------------------------------- D30a/S30a Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into Improving and protecting the environment? ----------------------------------------------------------- See D30/S30 for full text. 113 1. Less 567 3. The same amount 843 5. More 8. DK 9 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961106 NUMERIC D30b/S30b (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Reducing air pollution? ----------------------------------------------------------- See D30/S30 for full text. 67 1. Less 541 3. The same amount 913 5. More 8. DK 8 9. NA 180 0. Inap, no post IW ============================== VAR V961107 NUMERIC D30c/S30c (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Managing natural resources that are important to our economy, such as timber and fisheries? ----------------------------------------------------------- See D30/S30 for full text. 77 1. Less 544 3. The same amount 887 5. More 8. DK 9 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961108 NUMERIC D30d/S30d (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Cleaning up lakes and parks for recreation such as hiking and boating? ----------------------------------------------------------- See D30/S30 for full text. 75 1. Less 602 3. The same amount 841 5. More 8. DK 9 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961109 NUMERIC D30e/S30e (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Cleaning up hazardous or toxic waste? ----------------------------------------------------------- See D30/S30 for full text. 35 1. Less 358 3. The same amount 1120 5. More 8. DK 9 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961110 NUMERIC D30f/S30f (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Reducing solid waste and garbage? ----------------------------------------------------------- See D30/S30 for full text. 57 1. Less 493 3. The same amount 958 5. More 8. DK 10 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961111 NUMERIC D30g/S30g (Do you think the government should put LESS, THE SAME AMOUNT, or MORE effort into) Addressing global warming? ----------------------------------------------------------- See D30/S30 for full text. 229 1. Less 633 3. The same amount 560 5. More 8. DK 13 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961112 NUMERIC E1 (I am going to read a list of words and phrases people may use to describe political figures. For each, tell me whether the word or phrase describes the candidate name.) ----------------------------------------------------------- E1a Think about Bill Clinton. In your opinion, does the phrase "(he [is])....." describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL? MORAL ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 123 1. Extremely well 519 2. Quite well 502 3. Not too well 366 4. Not well at all 8. DK 4 9. NA; RF 180 0. Inap, no Post IW ============================== VAR V961113 NUMERIC E1b IF R GIVES OPINION ABOUT CLINTON AS 'MORAL:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 592 1. Very certain 716 3. Pretty certain 200 5. Not very certain 8. DK 9. NA 204 0. Inap, 8,9 in E1a; no Post IW ============================== VAR V961114 NUMERIC E2a GETS THINGS DONE? (Does the phrase "gets things done" describe Bill Clinton EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 283 1. Extremely well 849 2. Quite well 273 3. Not too well 76 4. Not well at all 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961115 NUMERIC E2b IF R GIVES OPINION WHETHER CLINTON 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 456 1. Very certain 779 3. Pretty certain 245 5. Not very certain 8. DK 9. NA 233 0. Inap, 8,9 in E1c; no Post IW ============================== VAR V961116 NUMERIC E1c Think about Bob Dole. In your opinion, does the phrase "(he [is])....." describe Bob Dole EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL? MORAL ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 194 1. Extremely well 863 2. Quite well 363 3. Not too well 102 4. Not well at all 8. DK 3 9. NA; RF 180 0. Inap, no Post IW ============================== VAR V961117 NUMERIC E1d IF R GIVES OPINION ABOUT DOLE AS 'MORAL:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 511 1. Very certain 849 3. Pretty certain 162 5. Not very certain 8. DK 9. NA 192 0. Inap, 8,9 in E2a; no Post IW ============================== VAR V961118 NUMERIC E2c GETS THINGS DONE? (Does the phrase "gets things done" describe Bob Dole EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 167 1. Extremely well 773 2. Quite well 428 3. Not too well 91 4. Not well at all 8. DK 5 9. NA; RF 180 0. Inap, no Post IW ============================== VAR V961119 NUMERIC E2d IF R GIVES OPINION WHETHER DOLE 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- 379 1. Very certain 788 3. Pretty certain 292 5. Not very certain 8. DK 9. NA 255 0. Inap, 8,9 in E2c; no Post IW ============================== VAR V961120 NUMERIC E3a Now think about Ross Perot...... GETS THINGS DONE? (Does the phrase "gets things done" describe Ross Perot EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) ----------------------------------------------------------- See E1 for full text. Note that, unlike previous years and though an oversight, this question was administered without the Respondent Booklet presentation of response options. Order of Clinton and Dole traits in E1a-E2d randomized (both traits asked for first candidate before traits are asked about second candidate). For trait "Gets things done," Perot is always third. 207 1. Extremely well 569 2. Quite well 407 3. Not too well 208 4. Not well at all 8. DK 13 9. NA; RF 180 0. Inap, no Post IW ============================== VAR V961121 NUMERIC E3b IF R GIVES OPINION WHETHER PEROT 'GETS THINGS DONE:' How certain are you about this? VERY CERTAIN, PRETTY CERTAIN, or NOT VERY CERTAIN? ----------------------------------------------------------- See note E3a. 431 1. Very certain 684 3. Pretty certain 275 5. Not very certain 8. DK 9. NA 323 0. Inap, 8,9 in E3a; no Post IW ============================== VAR V961122 NUMERIC E3x CHECKPOINT - RUNNING INCUMBENT IN R'S DISTRICT? ----------------------------------------------------------- 150 0. No running incumbent in R's district (type race 55,65) 1383 1. Running incumbent in R's district (type race 12,14,21,24) 9. Inap, Washington DC; no Post IW ============================== VAR V961123 NUMERIC E4 IF RUNNING INCUMBENT IN R'S DISTRICT: In general, do you APPROVE or DISAPPROVE of the way Representative [NAME #33 OR NAME #34] has been handling his/her job? ----------------------------------------------------------- 927 1. Approve 196 5. Disapprove 8. DK 14 9. NA 331 0. Inap, no running incumbent (0 in E3x); Washington DC; no post iW ============================== VAR V961124 NUMERIC E4a/E4b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R APPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT / IF R DISAPPROVES OF PERFORMANCE OF RUNNING HOUSE INCUMBENT: E4a. Do you approve STRONGLY or NOT STRONGLY? E4b. Do you disapprove STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 577 1. Approve strongly 349 2. Approve not strongly 81 4. Disapprove not strongly 114 5. Disapprove strongly 8. DK 9. NA 0. Inap, 0 in E3x; 8,9 in E4; Washington DC; no post iW ============================== VAR V961125 NUMERIC E5 IF RUNNING INCUMBENT IN R'S DISTRICT: Do you happen to know about how many years [NAME #33 OR NAME #34] has been in the House of Representatives? ----------------------------------------------------------- 601 1. Yes, R knows 761 5. No 8. DK 4 9. NA 331 0. Inap, 0 in E3x; no post IW ============================== VAR V961126 NUMERIC E5a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS R KNOWS ABOUT HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: About how many? ----------------------------------------------------------- Code actual number and: 98. DK 99. NA 00. Inap, 0 in E3x; 5,8,9 in E5; Washington DC; no post IW ============================== VAR V961127 NUMERIC E5b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R DOESN'T KNOW HOW MANY YEARS HOUSE REPRESENTATIVE HAS BEEN IN OFFICE: Would you say LESS THAN 12 years, ABOUT 12 years, or MORE THAN 12 years? ----------------------------------------------------------- 448 1. Less than 12 years 190 3. About 12 years 37 5. More than 12 years 8. DK 1 9. NA; RF 953 0. Inap, 0 in E3x; 1,8,9 in E5; Washington DC; no post IW ============================== VAR V961128 NUMERIC E6 IF RUNNING INCUMBENT IN R'S DISTRICT: How good a job would you say U.S. Representative [NAME #33 OR NAME #34] does of keeping in touch with the people in your district -- does he/she do a VERY GOOD job, FAIRLY GOOD, FAIRLY POOR, or a POOR job of keeping in touch with the people in this district? ----------------------------------------------------------- 306 1. Very good 602 2. Fairly good 202 3. Fairly poor 145 4. Very poor 8. DK 10 9. NA; RF 331 0. Inap, 0 in E3x; Washington DC; no post IW ============================== VAR V961129 NUMERIC E7 IF RUNNING INCUMBENT IN R'S DISTRICT: One of the main issues considered by Congress this year was welfare reform. Did Representative [NAME #33 OR NAME #34] vote FOR or AGAINST the welfare reform bill? ----------------------------------------------------------- 437 1. For 167 3. Against 8. DK 6 9. NA; RF 331 0. Inap, 0 in E3x; Washington DC; no post IW ============================== VAR V961130 NUMERIC E7a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R DOESN'T KNOW HOW REPRESENTATIVE VOTED ON WELFARE REFORM BILL: What would be your best guess? (Did [NAME #33 OR NAME #34] vote for or against the welfare reform bill?) ----------------------------------------------------------- 495 1. For 183 3. Against 8. DK 2 9. NA 941 0. Inap, 0 in E3x; 1,3,9 in E7; Washington DC; no post IW ============================== VAR V961131 NUMERIC E8 IF RUNNING INCUMBENT IN R'S DISTRICT: How often has Representative[NAME #33 OR NAME #34] supported President Clinton's legislative proposals? MORE THAN HALF the time, HALF, LESS THAN HALF the time, or are you not sure? ----------------------------------------------------------- 181 1. More than half 85 2. Half 179 3. Less than half 8. DK; not sure 7 9. NA; RF 331 0. Inap, 0 in E3x; Washington DC; no post IW ============================== VAR V961132 NUMERIC E8a IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON MORE THAN HALF THE TIME: Would you say it was almost always? ----------------------------------------------------------- 136 1. Yes 38 5. No 8. DK 9. NA 1533 0. Inap, 0 in E3x; 2-9 in E8; Washington DC; no post IW ============================== VAR V961133 NUMERIC E8b IF RUNNING INCUMBENT IN R'S DISTRICT: IF R SAYS REPRESENTATIVE HAS SUPPORTED CLINTON LESS THAN HALF THE TIME: Would you say it was almost never? ----------------------------------------------------------- 102 1. Yes 64 5. No 8. DK 9. NA 1535 0. Inap, 0 in E3x; 1,2,8,9 in E8; Washington DC; no post IW ============================== VAR V961134 NUMERIC E9 Some people seem to follow what's going on in government and public affairs most of the time, whether there's an election going on or not. Others aren't that interested. Would you say you follow what's going on in government and public affairs MOST OF THE TIME, SOME OF THE TIME, ONLY NOW AND THEN, or HARDLY AT ALL? ----------------------------------------------------------- 355 1. Most of the time 611 2. Some of the time 392 3. Only now and then 173 4. Hardly at all 8. DK 2 9. NA; RF 180 0. Inap, no Post IW ============================== VAR V961135 NUMERIC E10 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half the respondents were randomly selected for administration of questions F1-F4. 713 0. R not randomly selected for administration of F1-F4 821 1. R randomly selected for administration of F1-F4 9. Inap, no post IW ============================== VAR V961136 NUMERIC F1(1) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 1 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 0 in E10; no Post IW ============================== VAR V961137 NUMERIC F1(2) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 2 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 0 in E10; no further mention; no post IW ============================== VAR V961138 NUMERIC F1(3) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 3 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 0 in E10; no further mention; no post IW ============================== VAR V961139 NUMERIC F1(4) What do you think are the most important problems facing this country? [PROBE: "Any other important problems facing the country?" UNTIL R SAYS NONE.] MENTION 4 ----------------------------------------------------------- See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 000. Inap, 0 in E10; no further mention; no post IW ============================== VAR V961140 NUMERIC F1a What do you think are the most important problems facing this country? CHECKPOINT - NUMBER OF MENTIONS FOR 'MOST IMPORTANT PROBLEM' ----------------------------------------------------------- 109 1. R has mentioned only one problem 689 3. R has mentioned more than one problem 23 5. R has not mentioned any problems 0. Inap, 0 in E10; no post IW ============================== VAR V961141 NUMERIC F2 IF R HAS MENTIONED MORE THAN 1 'MOST IMPORTANT PROBLEM:' Of those you've mentioned, what would you say is the single most important problem the country faces? ----------------------------------------------------------- Responses of Rs who mentioned only 1 problem were duplicated here. See the IMPORTANT PROBLEM Master Code. Codes 001-997 and: 998. DK 999. NA 000. Inap, 0 in E10; R has not mentioned any problems (5 in F1a); no post IW ============================== VAR V961142 NUMERIC F3 IF R HAS IDENTIFIED 'MOST IMPORTANT PROBLEM:' How good a job is the government in Washington doing in dealing with this problem, a GOOD job, ONLY FAIR, or a POOR job? ----------------------------------------------------------- Cases which were administered in error using an early- version training VQ (1 in question Admin.35) were administered without this question; these cases have been coded NA. 56 1. A good job 328 3. Only fair 370 5. A poor job 8. DK 40 9. NA 916 0. Inap, 0 in E10; R has not identified any problems (5 in F1a); no post IW ============================== VAR V961143 NUMERIC F4 IF R HAS IDENTIFIED 'MOST IMPORTANT PROBLEM:' Which political party do you think would be most likely to get the government to do a better job in dealing with this problem-- the REPUBLICANS, the DEMOCRATS, or WOULDN'T THERE BE MUCH DIFFERENCE BETWEEN THEM? ----------------------------------------------------------- Cases which were administered in error using an early- version training VQ (1 in question Admin.35) were administered without this question; these cases have been coded NA. 157 1. The Republicans 183 3. The Democrats 405 5. There wouldn't be much difference between them 11 7. Neither party [vol] 8. DK 40 9. NA 916 0. Inap, 0 in E10; R has not identified any problems (5 in F1a); no post IW ============================== VAR V961144 NUMERIC F5 Next, I am going to ask you to choose which of two statements I read comes closer to your own opinion. You might agree to some extent with both, but we want to know which one is closer to your views. [IF NECESSARY, PROBE "Which would you choose?" ONCE EACH QUESTION.] ----------------------------------------------------------- F5a ONE, the less government, the better; or TWO, there are more things that government should be doing? ----------------------------------------------------------- See F5 for full text. 687 1. The less government the better 826 2. More things government should be doing 8. DK 10 9. NA 180 0. Inap, no post IW ============================== VAR V961145 NUMERIC F5b ONE, we need a strong government to handle today's complex economic problems; or TWO, the free market can handle these problems without government being involved. ----------------------------------------------------------- See F5 for full text. 931 1. Need a strong gov't to handle complex economic problems 576 2. Free market can handle witout government involvement 8. DK 6 9. NA 0. Inap, no Post IW ============================== VAR V961146 NUMERIC F5c ONE, the main reason government has become bigger over the years is because it has gotten involved in things that people should do for themselves; or TWO, government has become bigger because the problems we face have become bigger. ----------------------------------------------------------- See F5 for full text. 752 1. Govt is bigger because involved in things people should handle themselves 762 2. Govt has become bigger because problems are bigger 8. DK 5 9. NA; RF 180 0. Inap, no post IW ============================== VAR V961147 NUMERIC F5d ONE, it is more important to be a cooperative person who works well with others; or TWO, it is more important to be a self-reliant person able to take care of oneself. ----------------------------------------------------------- See F5 for full text. 857 1. More important to be cooperative 655 2. More important to be self-reliant 8. DK 9 9. NA 180 0. Inap, no post IW ============================== VAR V961148 NUMERIC F6 How many times IN THE LAST WEEK have you watched "Jeopardy" or "Wheel of Fortune"? ----------------------------------------------------------- Codes 0-20 and: 98. DK 99. NA; Inap, no post IW ============================== VAR V961149 NUMERIC F7 How many times IN THE LAST WEEK have you watched a sports event on TV? ----------------------------------------------------------- Codes 0-20 and: 98. DK 99. NA; Inap, no post IW ============================== VAR V961150 NUMERIC F8 Do you watch "ER" EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY or NOT AT ALL? ----------------------------------------------------------- 157 1. Every week 134 2. Most weeks 375 3. Only occasionally 866 4. Not at all 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961151 NUMERIC F9 Do you watch "Frasier" EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL? ----------------------------------------------------------- 55 1. Every week 118 2. Most weeks 381 3. Only occasionally 979 4. Not at all 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961152 NUMERIC F10 How about "Dr. Quinn, Medicine Woman"? (Do you watch that show EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL?) ----------------------------------------------------------- 102 1. Every week 75 2. Most weeks 360 3. Only occasionally 996 4. Not at all 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961153 NUMERIC F11 Do you watch the show "Friends" (EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL?) ----------------------------------------------------------- 73 1. Every week 110 2. Most weeks 312 3. Only occasionally 1038 4. Not at all 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961154 NUMERIC F12 How about "Prime Time Live"? (Do you watch this show EVERY WEEK, MOST WEEKS, ONLY OCCASIONALLY, or NOT AT ALL?) ----------------------------------------------------------- 126 1. Every week 209 2. Most weeks 632 3. Only occasionally 566 4. Not at all 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961155 NUMERIC F13 There are a number of programs on radio in which people call in to voice their opinions about politics. Do you ever listen to political talk radio programs of this type? ----------------------------------------------------------- 579 1. Yes, listen 954 5. No, don't listen 8. DK 1 9. NA 180 0. Inap, no post IW ============================== VAR V961156 NUMERIC F13a IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: How often do you listen to those programs -- EVERY DAY, MOST DAYS, ONCE OR TWICE A WEEK, or ONLY OCCASIONALLY? ----------------------------------------------------------- 71 1. Every day 72 2. Most days 111 3. Once or twice a week 324 4. Only occasionally 8. DK 9. NA 1135 0. Inap, 5,8,9 in F13; no post IW ============================== VAR V961157 NUMERIC F13b IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: Some people listen carefully to these talk radio programs while others just keep them on in the background while they do other things. How about you? When you turn on a political talk radio program, would you say you pay VERY CLOSE attention, FAIRLY CLOSE attention, OCCASIONAL attention, or VERY LITTLE attention? ----------------------------------------------------------- 130 1. Very close attention 244 2. Fairly close attention 151 3. Occasional attention 53 4. Very little attention 8. DK 9. NA 1135 0. Inap, 5,8,9 in F13; no post IW ============================== VAR V961158 NUMERIC F14 IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: Do you ever listen to the Rush Limbaugh Show? ----------------------------------------------------------- [IWR INSTRUCTION: if R volunteers that they only watch him on TV, code '5' and continue w/out comment.] 341 1. Yes, listen 238 5. No, don't listen 8. DK 9. NA 1135 0. Inap, 5,8,9 in F13; no post IW ============================== VAR V961159 NUMERIC F14a IF R LISTENS TO POLITICAL TALK RADIO PROGRAMS: IF R LISTENS TO RUSH LIMBAUGH: How often do you listen to Rush Limbaugh -- EVERY DAY, MOST DAYS, ONCE OR TWICE A WEEK, or ONLY OCCASIONALLY? ----------------------------------------------------------- 26 1. Every day 30 2. Most days 69 3. Once or twice a week 216 4. Only occasionally 8. DK 9. NA 1373 0. Inap, 5,8,9 in F13; 5,8,9 in F14; no post IW ============================== VAR V961160 NUMERIC F15 Do you have access to the Internet or the World Wide Web ("the Web")? ----------------------------------------------------------- 404 1. Yes 1122 5. No 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961161 NUMERIC F15a IF R HAS ACCESS TO THE INTERNET: Have you seen any information about this election campaign on the (Internet/the Web)? ----------------------------------------------------------- 102 1. Yes 302 5. No 8. DK 9. NA 1310 0. Inap, 5,8,9 in F15; no post IW ============================== VAR V961162 NUMERIC G1 As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the POLITICAL PARTIES call you up or come around and talk to you about the campaign this year? ----------------------------------------------------------- 448 1. Yes 1084 5. No 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961163 NUMERIC G1a IF POLITICAL PARTY CONTACTED R ABOUT CAMPAIGNS: (Did anyone from one of the political parties call you up or come around and talk to you about the campaign this year?) Which party was that? ----------------------------------------------------------- 117 1. Democrats 171 5. Republicans 114 6. Both parties 23 7. Other party - specify 8. DK 9. NA 1266 0. Inap, 5,8,9 in G1; no Post IW ============================== VAR V961164 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? ----------------------------------------------------------- 169 1. Yes 1364 5. No 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961165 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? ----------------------------------------------------------- 443 1. Yes 1090 5. No 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961166 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? ----------------------------------------------------------- 156 1. Yes 1377 5. No 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961167 NUMERIC G5 Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? ----------------------------------------------------------- 91 1. Yes 1442 5. No 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961168 NUMERIC G6 Did you do any (other) work for one of the parties or candidates? ----------------------------------------------------------- 42 1. Yes 1491 5. No 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961169 NUMERIC G7 During an election year people are often asked to make a contribution to support campaigns. Did you give money to an INDIVIDUAL CANDIDATE running for public office? ----------------------------------------------------------- 84 1. Yes 1447 5. No 8. DK 2 9. NA 180 0. Inap, no Post IW ============================== VAR V961170 NUMERIC G7a IF R MADE CONTRIBUTION TO CANDIDATE: Which party did that candidate belong to? ----------------------------------------------------------- 32 1. Democrats 42 3. Republicans 5 5. Other (specify)[VOL] 3 6. Both a Democratic candidate and a Republican candidate 8. DK 9. NA 1630 0. Inap, 5,8,9 in G7; no Post IW ============================== VAR V961171 NUMERIC G8 Did you give money to a POLITICAL PARTY during this election year? ----------------------------------------------------------- 98 1. Yes 1434 5. No 8. DK 2 9. NA 180 0. Inap, no Post IW ============================== VAR V961172 NUMERIC G8a IF R MADE CONTRIBUTION TO PARTY? To which party did you give money? ----------------------------------------------------------- 38 1. Democrats 50 3. Republicans 7 5. Other (specify)[VOL] 2 6. Both Democrats and Republicans [VOL] 8. DK 9. NA 1616 0. Inap, 5,8,9 in G8; no Post IW ============================== VAR V961173 NUMERIC G9 Did you give any money to ANY OTHER GROUP that supported or opposed candidates? ----------------------------------------------------------- 81 1. Yes 1449 5. No 8. DK 2 9. NA 180 0. Inap, no Post IW ============================== VAR V961174 NUMERIC G10 During the campaign this year, did anyone talk to you about REGISTERING to vote or GETTING OUT TO VOTE? ----------------------------------------------------------- 569 1. Yes, someone did 963 5. No, no one did 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961175 NUMERIC G11 Were there any groups concerned with MORAL OR RELIGIOUS ISSUES that tried to encourage you to vote in a particular way? ----------------------------------------------------------- 199 1. Yes, there were groups 1332 5. No, no groups tried to encourage 8. DK 1 9. NA 180 0. Inap, no Post IW ============================== VAR V961176 NUMERIC G12 Was information about candidates, parties, or political issues made available in your place of worship before the election? ----------------------------------------------------------- 187 1. Yes 1135 5. No, no information available 206 7. No, don't attend church (VOL) 8. DK 2 9. NA 180 0. Inap, no post IW ============================== VAR V961177 NUMERIC G13 IF R HAS NOT INDICATED NONATTENDANCE AT CHURCH IN G12: Did the clergy or other church leaders at your place of worship encourage you to vote for a particular candidate or party? ----------------------------------------------------------- 59 1. Yes 1265 5. No 8. DK 2 9. NA 386 0. Inap, R says he/she doesn't attend church (7 in G12); no post IW ============================== VAR V961178 NUMERIC G13a(1) IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] MENTION 1 ----------------------------------------------------------- The codes for this variable have been slightly changed from previous years. PRESIDENTIAL: 11 01. Democratic Presidential candidate (1996: Clinton) 18 02. Republican Presidential candidate (1996: Dole) 03. Independent/3rd party Presidential candidate (1996: Perot) 2 05. Anti-Democratic Presidential candidate (1996: Anti-Clinton) 06. Anti-Republican Presidential candidate (1996: Anti-Dole) SENATE: 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 1 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate 93. Democratic Senate candidate for KS special election 94. Republican Senate candidate for KS special election HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 1 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 1 36. Republican House challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which candidate(s) 72. Republican Candidate(s)--NA which candidate(s) 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 2 81. Democratic Party 5 82. Republican Party 1 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party (only) NON-PARTY-SPECIFIC: 10 90. Vote on particular issue 1 95. Other candidate(s) for state/local offices (office level given but party NA) 4 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates; advice to vote/ not vote 97. Candidate name given but party/office level NA (low priority) 98. Don't know, can't remember 2 99. NA 1655 00. Inap, R does not attend church (7 in G12); no encouragement given (5,8,9 in G13); no post IW ============================== VAR V961179 NUMERIC G13a(2) IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] MENTION 2 ----------------------------------------------------------- The codes for this variable have been slightly changed from previous years. PRESIDENTIAL: 1 01. Democratic Presidential candidate (1996: Clinton) 4 02. Republican Presidential candidate (1996: Dole) 03. Independent/3rd party Presidential candidate (1996: Perot) 1 05. Anti-Democratic Presidential candidate (1996: Anti-Clinton) 06. Anti-Republican Presidential candidate (1996: Anti-Dole) SENATE: 1 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 1 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate 93. Democratic Senate candidate for KS special election 94. Republican Senate candidate for KS special election HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 2 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which candidate(s) 72. Republican Candidate(s)--NA which candidate(s) 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 81. Democratic Party 4 82. Republican Party 1 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party (only) NON-PARTY-SPECIFIC: 3 90. Vote on particular issue 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates; advice to vote/ not vote 1 97. Candidate name given but party/office level NA (low priority) 00. Inap, R does not attend church (7 in G12); no encouragement given (5,8,9 in G13); no post IW; no further mention ============================== VAR V961180 NUMERIC G13a(3) IF R ATTENDS CHURCH: IF CLERGY OR CHURCH LEADERS ENCOURAGED VOTE FOR SOME PARTICULAR CANDIDATE OR PARTY: Which candidate? [PROBE: IF R SAYS CAN'T REMEMBER CANDIDATE NAME: "Which election or what office?" "Any others?"] MENTION 3 ----------------------------------------------------------- The codes for this variable have been slightly changed from previous years. PRESIDENTIAL: 01. Democratic Presidential candidate (1996: Clinton) 02. Republican Presidential candidate (1996: Dole) 03. Independent/3rd party Presidential candidate (1996: Perot) 05. Anti-Democratic Presidential candidate (1996: Anti-Clinton) 06. Anti-Republican Presidential candidate (1996: Anti-Dole) SENATE: 1 11. Democratic Senate candidate in state without incumbent 12. Republican Senate candidate in state without incumbent 13. Democratic Senate incumbent candidate 14. Republican Senate incumbent candidate 15. Republican Senate challenger candidate 16. Republican Senate challenger candidate 93. Democratic Senate candidate for KS special election 94. Republican Senate candidate for KS special election HOUSE: 31. Democratic House candidate in district without incumbent 32. Republican House candidate in district without incumbent 33. Democratic House incumbent candidate 34. Republican House incumbent candidate 35. Democratic House challenger candidate 36. Republican House challenger candidate OTHER PARTY-SPECIFIC: 71. Democratic Candidate(s)--NA which candidate(s) 72. Republican Candidate(s)--NA which candidate(s) 73. Other Democratic Candidate--any office level 74. Other Republican Candidate--any office level 80. Other independent or minor party candidate--any office level 1 81. Democratic Party 82. Republican Party 85. Anti-'Democrats'; against any Democratic candidate exc. Presidential 86. Anti-'Republicans'; against any Republican candidate exc. Presidential 89. Other party (only) NON-PARTY-SPECIFIC: 1 90. Vote on particular issue 95. Other candidate(s) for state/local offices (office level given but party NA) 96. Other groups or individuals which are neither parties nor organized supporters of specific candidates; advice to vote/ not vote 97. Candidate name given but party/office level NA (low priority) 00. Inap, R does not attend church (7 in G12); no encouragement given (5,8,9 in G13); no post IW; no further mention ============================== VAR V961181 NUMERIC G14 HALF-SAMPLE CHECKPOINT ----------------------------------------------------------- Half the respondents were randomly selected for administration of questions H1-H1b. 786 0. R not randomly selected for administration of H1-H1a 748 1. R randomly selected for administration of H1-H1a 9. Inap, no post IW ============================== VAR V961182 NUMERIC H1 Do you think there are any important differences in what the Republicans and Democrats stand for? ----------------------------------------------------------- 487 1. Yes, differences 250 5. No, no differences 8. DK 1 9. NA 966 0. Inap, 0 in G14; no Post IW ============================== VAR V961183 NUMERIC H1a(1) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 1 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 9998. DK 9999. NA 0000. Inap, 0 in G14; 5,8,9 in H1; no Post IW ============================== VAR V961183A NUMERIC H1b(1) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 1 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 166 1. Democratic party mention 3 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 189 5. Republican Party mention 6. Other party mentioned instead 112 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 8. DK (998 in H1a(1)) 6 9. NA (999 in H1a(1)) 1227 0. Inap, 0 in G14; 5,8,9 in H1; no post IW ============================== VAR V961184 NUMERIC H1a(2) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 2 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR V961184A NUMERIC H1b(2) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 2 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 163 1. Democratic party mention 2 2. Democratic Presidential candidate mention 1 4. Republican Presidential candidate mention 177 5. Republican Party mention 6. Other party mentioned instead 77 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR V961185 NUMERIC H1a(3) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 3 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR V961185A NUMERIC H1b(3) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 3 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 110 1. Democratic party mention 2 2. Democratic Presidential candidate mention 2 4. Republican Presidential candidate mention 107 5. Republican Party mention 6. Other party mentioned instead 46 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR V961186 NUMERIC H1a(4) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 4 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR V961186A NUMERIC H1b(4) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 4 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 77 1. Democratic party mention 2 2. Democratic Presidential candidate mention 3 4. Republican Presidential candidate mention 73 5. Republican Party mention 6. Other party mentioned instead 28 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR V961187 NUMERIC H1a(5) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 5 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR V961187A NUMERIC H1b(5) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 5 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 40 1. Democratic party mention 4 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 42 5. Republican Party mention 6. Other party mentioned instead 15 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR V961188 NUMERIC H1a(6) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] MENTION 6 ----------------------------------------------------------- See H1 for full text. See PARTY DIFFERENCES Master Code. 0000. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no Post IW ============================== VAR V961188A NUMERIC H1b(6) IF R SAYS THERE ARE DIFFERENCES IN WHAT THE DEMOCRATS AND REPUBLICANS STAND FOR: What are those differences? [PROBE: "Any other important differences?" UNTIL R SAYS "NONE."] PARTY REFERENCE - MENTION 6 ----------------------------------------------------------- See H1 for full text. Responses that refer specifically to the candidates rather than parties are coded "7." However, if the candidates are referred to as leaders or representatives of the parties, the response is coded with the appropriate code category. 24 1. Democratic party mention 2 2. Democratic Presidential candidate mention 4. Republican Presidential candidate mention 27 5. Republican Party mention 6. Other party mentioned instead 10 7. Unclear party reference-- some substantive area of party difference mentioned, but party reference is not clear; reference to candidate rather than party 0. Inap, 0 in G14; 5,8,9 in H1; 998,999 in H1a(1); no further mention; no post IW ============================== VAR V961189 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. [PAUSE AFTER EACH NAME. RECORD EXACTLY WHAT IS SAID BUT DO NOT PROBE DON'T KNOW.] ----------------------------------------------------------- H3a The first name is Al Gore. What job or political office does he now hold? AL GORE - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 1347 1. Correctly identified Al Gore (as Vice- President) 23 5. Identification incomplete or wrong 8. DK; R makes no attempt to guess 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961190 NUMERIC H3b William Rehnquist? (What job or political office does he now hold?) WILLIAM REHNQUIST - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 143 1. Correctly identifies Rehnquist as Chief Justice of the Supreme Court 398 5. Identification incomplete or wrong 8. DK; R makes no attempt to guess 3 9. NA 180 0. Inap, no Post IW ============================== VAR V961191 NUMERIC H3c Boris Yeltsin? (What job or political office does he now hold?) BORIS YELTSIN - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 992 1. Correctly identifies Yeltsin as President of Russia or as leader/head/top man of Russia 199 5. Identification incomplete or wrong (incl. leader of Soviet Union/former Soviet Union) 8. DK; R makes no attempt to guess 2 9. NA 180 0. Inap, no Post IW ============================== VAR V961192 NUMERIC H3d Newt Gingrich? (What job or political office does he now hold?) NEWT GINGRICH - R'S KNOWLEDGE OF POLITICAL OFFICE ----------------------------------------------------------- See H3 for full text. 887 1. Correctly identifies Gingrich as Speaker of the House of Representatives 303 5. Identification incomplete or wrong 8. DK; R makes no attempt to guess 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961193 NUMERIC H4 Do you FAVOR or OPPOSE laws to protect homosexuals against job discrimination? ----------------------------------------------------------- 918 1. Favor 520 5. Oppose 8. DK 30 9. NA 180 0. Inap, no post IW ============================== VAR V961194 NUMERIC H4a/H4b IF R FAVORS LAWS TO PROTECT HOMOSEXUALS AGAINST JOB DISCRIMINATION / IF R OPPOSES LAWS TO PROTECT HOMOSEXUALS AGAINST JOB DISCRIMINATION / H4a. Do you favor such laws STRONGLY or NOT STRONGLY? H4b. Do you oppose such laws STRONGLY or NOT STRONLGY? ----------------------------------------------------------- 572 1. Favor strongly 346 2. Favor not strongly 188 4. Oppose not strongly 330 5. Oppose strongly 8. DK 9. NA 276 0. Inap, 8,9 in H4; no post IW ============================== VAR V961195 NUMERIC H5 Do you think homosexuals should be allowed to serve in the United States Armed Forces or don't you think so? ----------------------------------------------------------- 1019 1. Homosexuals should be allowed to serve 464 5. Homosexuals should not be allowed to serve 8. DK 16 9. NA 180 0. Inap, no post IW ============================== VAR V961196 NUMERIC H5a/H5b IF R FAVORS ALLOWING HOMOSEXUALS TO SERVICE IN THE ARMED FORCES / IF R FAVORS ALLOWING HOMOSEXUALS TO SERVICE IN THE ARMED FORCES: H5a. Do you feel STRONGLY or NOT STRONGLY that homosexuals should be allowed to serve in the United States Armed Forces? H5b. Do you feel STRONGLY or NOT STRONGLY that homosexuals should not be allowed to serve in the United States Armed Forces? ----------------------------------------------------------- 650 1. Feel strongly - should be allowed to serve 368 2. Feel not strongly - should be allowed to serve 100 4. Feel not strongly - should not be allowed to serve 362 5. Feel strongly - should not be allowed to serve 8. DK 1 9. NA 231 0. Inap, 8,9 in H5; no post IW ============================== VAR V961197 NUMERIC H6 Do you FAVOR or OPPOSE the death penalty for persons convicted of murder? ----------------------------------------------------------- 1168 1. Favor 316 5. Oppose 8. DK 10 9. NA 180 0. Inap, no post IW ============================== VAR V961198 NUMERIC H6a/H6b IF R FAVORS THE DEATH PENALTY FOR PERSONS CONVICTED OF MURDER / IF R OPPOSES THE DEATH PENALTY FOR PERSONS CONVICTED OF MURDER: H6a. Do you favor the death penalty for persons convicted of murder STRONGLY or NOT STRONGLY? H6b. Do you oppose the death penalty for persons convicted of murder STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 917 1. Favor strongly 250 2. Favor not strongly 143 4. Oppose not strongly 173 5. Oppose strongly 8. DK 9. NA 230 0. Inap, 8,9 in H6; no post IW ============================== VAR V961199 NUMERIC H6c Looking at page 2 of the booklet, please tell me how much you AGREE or DISAGREE with the following statement: Mothers should remain at home with young children and not work. ----------------------------------------------------------- 262 1. Agree strongly 397 2. Agree somewhat 304 3. Neither agree nor disagree 267 4. Disagree somewhat 298 5. Disagree strongly 8. DK 3 9. NA 180 0. Inap, no post IW ============================== VAR V961200 NUMERIC H7 (Not looking at the booklet) Which level of government do you think should be most involved in dealing with ENVIRONMENTAL problems -- The national government, state governments, or local governments? ----------------------------------------------------------- 553 1. National government 624 3. State governments 317 5. Local governments 8. DK 14 9. NA 180 0. Inap, no post IW ============================== VAR V961201 NUMERIC H8 What about welfare issues? Which level of government do you think should be most involved in dealing with WELFARE issues -- The national government, state governments, or local governments? ----------------------------------------------------------- 444 1. National government 764 3. State governments 302 5. Local governments 8. DK 8 9. NA 180 0. Inap, no post IW ============================== VAR V961202 NUMERIC H9 What about CRIME? (Which level of government do you think should be most involved in dealing with crime -- The national government, state governments, or local governments?) ----------------------------------------------------------- 461 1. National government 616 3. State governments 425 5. Local governments 8. DK 9 9. NA 180 0. Inap, no post IW ============================== VAR V961203 NUMERIC H11 We find that people differ in how much faith and confidence they have in various levels of government in this country. In your case, do you have more faith and confidence in NATIONAL GOVERNMENT, the GOVERNMENT OF THIS STATE, or in the LOCAL GOVERNMENT around here? ----------------------------------------------------------- 440 1. National government 539 3. Government of this state 476 5. The local government around here 8. DK 28 9. NA 180 0. Inap, no Post IW ============================== VAR V961204 NUMERIC H12 Which level of government do you have the least faith and confidence in: the NATIONAL GOVERNMENT, the GOVERNMENT OF THIS STATE, or the LOCAL GOVERNMENT around here? ----------------------------------------------------------- 686 1. National government 268 3. Government of this state 485 5. The local government around here 8. DK 25 9. NA 180 0. Inap, no Post IW ============================== VAR V961205 NUMERIC J2 Some people feel that if black people are not getting fair treatment in jobs, the government in Washington ought to see to it that they do. Others feel that this is not the federal government's business. Have you had enough interest in this question to favor one side over the other? ----------------------------------------------------------- 990 1. Yes, have interest in question 532 5. No, haven't had interest in question 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961206 NUMERIC J2a How do you feel? Should the government in Washington see to it that black people get fair treatment in jobs or is this not the federal government's business? ----------------------------------------------------------- 476 1. Government should see to blacks' fair treatment in jobs 467 5. This is not the federal government's business 41 7. Other 8. DK 1 9. NA 724 0. Inap, 5,8,9 in J2; no Post IW ============================== VAR V961207 NUMERIC J2a(1)/J2a(2 IF R FEELS THAT THE GOVERNMENT SHOULD SEE TO FAIR TREATMENT IN JOBS FOR BLACKS / IF R FEELS THAT THIS IS NOT THE FEDERAL GOVERNMENT'S BUSINESS: J2a1. Do you feel STRONGLY or NOT STRONGLY (that the government in Washington should see to it that Black people get fair treatment in jobs)? J2a2. Do you feel STRONGLY or NOT STRONGLY (that this is not the federal government's business)? ----------------------------------------------------------- 398 1. Strongly think that federal government should see to fair treatment 78 2. Not strongly think that federal government should see to fair treatment 385 4. Not strongly think that this is not the federal government's business 64 5. Strongly think that this is not the federal government's business 8. DK 9. NA 789 0. Inap, 5,8,9 in J2; 7,8,9 in J2a; no Post IW ============================== VAR V961208 NUMERIC J3 Some people say that because of past discrimination, blacks should be given preference in hiring and promotion. Others say that such preference in hiring and promotion of blacks is wrong because it gives blacks advantages they haven't earned. What about your opinion -- are you FOR or AGAINST preferential hiring and promotion of blacks? ----------------------------------------------------------- 250 1. For preferential hiring and promotion of blacks 1159 5. Against preferential hiring and promotion of blacks 93 7. Other (specify) [VOL] 8. DK 14 9. NA 180 0. Inap, no Post IW ============================== VAR V961209 NUMERIC J3a/J3b IF R FAVORS PREFERENTIAL HIRING AND PROMOTION FOR BLACKS / IF R OPPOSES PREFERENTIAL HIRING AND PROMOTION FOR BLACKS: J3a. Do you favor preference in hiring and promotion STRONGLY or NOT STRONGLY? J3b. Do you oppose preference in hiring and promotion STRONGLY or NOT STRONGLY? ----------------------------------------------------------- Built from J3, J3a/b. 156 1. Favor strongly 94 2. Favor not strongly 239 4. Oppose not strongly 919 5. Oppose strongly 8. DK 9. NA 305 0. Inap, 7,8,9 in J3; no Post IW ============================== VAR V961210 NUMERIC J4 Looking at page 3 of the booklet: Some people feel that the government in Washington should make every effort to improve the social and economic position of blacks. Suppose these people are at one end of a scale, at point 1. Others feel that the government should not make any special effort to help blacks because they should help themselves. Suppose these people are at the other end, at point 7. And, of course, some other people have opinions somewhere in between at points 2, 3, 4, 5, or 6. ----------------------------------------------------------- J4a Where would you place yourself on this scale, or haven't you thought much about this? R'S POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. 69 1. Govt should make every effort to help blacks 74 2. 154 3. 408 4. 218 5. 243 6. 233 7. Govt should not make special effort to help blacks 8. DK 186 9. NA; Inap, no Post IW 128 0. Haven't thought much about this ============================== VAR V961211 NUMERIC J4b [RB] Where would you place Bill Clinton on this scale? CLINTON POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. Order of Clinton, Dole and Perot in J4a-J4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 161 1. Govt should make every effort to help blacks 272 2. 380 3. 319 4. 150 5. 93 6. 43 7. Govt should not make special effort to help blacks 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961212 NUMERIC J4c [RB] Where would you place Bob Dole on this scale? DOLE POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. Order of Clinton, Dole and Perot in J4a-J4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 21 1. Govt should make every effort to help blacks 47 2. 166 3. 382 4. 362 5. 265 6. 122 7. Govt should not make special effort to help blacks 8. DK 12 9. NA 180 0. Inap, no Post IW ============================== VAR V961213 NUMERIC J4d [RB] Where would you place Ross Perot on this scale? PEROT POSITION - AID TO BLACKS 7-POINT SCALE ----------------------------------------------------------- See J4 for full text. Order of Clinton, Dole and Perot in J4a-J4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 29 1. Govt should make every effort to help blacks 50 2. 112 3. 375 4. 226 5. 227 6. 178 7. Govt should not make special effort to help blacks 8. DK 22 9. NA 180 0. Inap, no Post IW ============================== VAR V961214 NUMERIC J5 Turning to page 4 of the booklet: Which of the following views comes closest to your opinion on the issue of school prayer? Just give me the number of your choice. 1. BY LAW, PRAYERS SHOULD NOT BE ALLOWED IN PUBLIC SCHOOLS. 2. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN CAN PRAY SILENTLY IF THEY WANT TO. 3. THE LAW SHOULD ALLOW PUBLIC SCHOOLS TO SCHEDULE TIME WHEN CHILDREN AS A GROUP, CAN SAY A GENERAL PRAYER NOT TIED TO A PARTICULAR RELIGIOUS FAITH. 4. BY LAW, PUBLIC SCHOOLS SHOULD SCHEDULE A TIME WHEN ALL CHILDREN WOULD SAY A CHOSEN CHRISTIAN PRAYER. 7 OTHER - specify [VOL.] ----------------------------------------------------------- 186 1. Not allowed in public schools 839 2. Allow children to pray silently 335 3. Schedule time for general prayer 139 4. Christian prayer required 29 7. Other (specify) [VOL] 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961215 NUMERIC J5a IF R HAS AN OPINION ABOUT SCHOOL PRAYER: Do you favor that choice strongly or not strongly? ----------------------------------------------------------- 1265 1. Favor strongly 259 5. Favor not strongly 8. DK 1 9. NA 186 0. Inap, 8,9 in J5; no Post IW ============================== VAR V961216 NUMERIC J6 How afraid are you that a member of your family, or a close friend, or you yourself might be the victim of an assault during the coming year? Would you say you are VERY AFRAID, SOMEWHAT AFRAID, A LITTLE BIT AFRAID, or NOT AFRAID? ----------------------------------------------------------- 160 1. Very afraid 474 2. Somewhat afraid 499 3. A little bit afraid 396 4. Not afraid 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961217 NUMERIC J7 Do you favor or oppose a ban on the sale of all handguns, except those that are issued to law enforcement officers? ----------------------------------------------------------- 707 1. Favor 807 5. Oppose 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961218 NUMERIC J8 IF INTERVIEW IS ASSIGNED TO TELEPHONE ADMINISTRATION: Do you have a gun in the house? ----------------------------------------------------------- Codes 1 and 5 apply to interviews assigned to telephone mode and administered in telephone mode (4 in question Admin.49). Interviews assigned to personal mode skipped this question; if an interview was assigned to personal mode but was actually administered by telephone this question was also skipped (1 and 2 in question Admin.48). If an interview was assigned as telephone but was in fact conducted in person (3 in question Admin.48), this screen appeared and the interviewer was instructed to code 7; however, in a few such instances the interviewer asked the question, and the respones in such cases have been coded 2 or 6. 326 1. Yes 2 2. Yes - assigned phone IW is conducted in person, IWR asked this question in error 410 5. No 4 6. No - assigned phone IW is conducted in person, IWR asked this question in error 22 7. Question not asked--assigned phone interview is conducted in person (3 in question Admin.49 and IWR correctly skipped this question) 8. DK 13 9. NA 936 0. Inap, interview administered as personal IW (1 or 2 in question Admin.48); no Post IW ============================== VAR V961219 NUMERIC J9 Each year the government in Washington has to make decisions about taxes, spending, and the deficit. We'd like to know your opinions about what the government should do about the budget. Do you favor an increase in the federal budget deficit in order to increase spending on domestic programs like Medicare, education, and highways? ----------------------------------------------------------- 615 1. Yes, favor 878 5. No, don't favor 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961220 NUMERIC J10 Do you favor cuts in spending on domestic programs like Medicare, education and highways in order to cut the taxes paid by ordinary Americans? ----------------------------------------------------------- See J9 for full introductory text. 390 1. Yes, favor 1113 5. No, don't favor 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961221 NUMERIC J11 Do you favor an increase in the federal budget deficit in order to cut the taxes paid by ordinary Americans? ----------------------------------------------------------- See J9 for full introductory text. 423 1. Yes, favor 1062 5. No, don't favor 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961222 NUMERIC K1 Overall, how would you rate the air quality in our nation? Very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 90 1. Very good 982 2. Fairly good 366 3. Fairly bad 72 4. Very bad 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961223 NUMERIC K2 What about in your local community? Is the air quality very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 364 1. Very good 861 2. Fairly good 204 3. Fairly bad 95 4. Very bad 8. DK 3 9. NA 180 0. Inap, no Post IW ============================== VAR V961224 NUMERIC K3 Overall, how would you rate the safety of drinking water in our nation? Very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 155 1. Very good 972 2. Fairly good 306 3. Fairly bad 79 4. Very bad 8. DK 3 9. NA 180 0. Inap, no Post IW ============================== VAR V961225 NUMERIC K4 What about in your local community? Is the safety of drinking water in your local community very good, fairly good, fairly bad, or very bad? ----------------------------------------------------------- 412 1. Very good 816 2. Fairly good 215 3. Fairly bad 81 4. Very bad 8. DK 3 9. NA 180 0. Inap, no Post IW ============================== VAR V961226 NUMERIC K5 Here are a few more questions about what the government should do about the budget. Do you favor increases in the taxes paid by ordinary Americans in order to increase spending on domestic programs like Medicare, education and highways? ----------------------------------------------------------- 432 1. Yes, favor 1070 5. No, don't favor 8. DK 9 9. NA 180 0. Inap, no Post IW ============================== VAR V961227 NUMERIC K6 Do you favor cuts in spending on domestic programs like Medicare, education, and highways in order to cut the federal budget deficit? ----------------------------------------------------------- See K5 for introductory sentence. 446 1. Yes, favor 1048 5. No, don't favor 8. DK 11 9. NA 180 0. Inap, no Post IW ============================== VAR V961228 NUMERIC K7 Do you favor increases in taxes paid by ordinary Americans in order to cut the federal budget deficit? ----------------------------------------------------------- See K5 for introductory sentence. 321 1. Yes, favor 1192 5. No, don't favor 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961229 NUMERIC L1 Looking at page 5 of the booklet: I am going to read several statements. After each one, I would like you to tell me whether you AGREE STRONGLY with the statement, AGREE SOMEWHAT, NEITHER AGREE NOR DISAGREE, DISAGREE SOMEWHAT, or DISAGREE STRONGLY. ----------------------------------------------------------- L1a [RB] The first statement is: Our society should do whatever is necessary to make sure that everyone has an equal opportunity to succeed. ----------------------------------------------------------- See L1 for full text. Respondent booklet used. 720 1. Agree strongly 539 2. Agree somewhat 116 3. Neither agree nor disagree 100 4. Disagree somewhat 54 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961230 NUMERIC L1b [RB] (Still on p.5) We have gone too far in pushing equal rights in this country. ----------------------------------------------------------- See L1 for full text. 311 1. Agree strongly 518 2. Agree somewhat 211 3. Neither agree nor disagree 270 4. Disagree somewhat 216 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961231 NUMERIC L1c [RB] (Still on p. 5) One of the big problems in this country is that we don't give everyone an equal chance. ----------------------------------------------------------- See L1 for full text. 259 1. Agree strongly 473 2. Agree somewhat 258 3. Neither agree nor disagree 374 4. Disagree somewhat 163 5. Disagree strongly 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961232 NUMERIC L1d [RB] (Still on p. 5) This country would be better off if we worried less about how equal people are. ----------------------------------------------------------- See L1 for full text. 307 1. Agree strongly 506 2. Agree somewhat 232 3. Neither agree nor disagree 304 4. Disagree somewhat 178 5. Disagree strongly 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961233 NUMERIC L1e [RB] (Still on p. 5) It is not really that big a problem if some people have more of a chance in life than others. ----------------------------------------------------------- See L1 for full text. 129 1. Agree strongly 433 2. Agree somewhat 297 3. Neither agree nor disagree 439 4. Disagree somewhat 230 5. Disagree strongly 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961234 NUMERIC L1f [RB] (Still on p. 5) If people were treated more equally in this country we would have many fewer problems. ----------------------------------------------------------- See L1 for full text. 381 1. Agree strongly 551 2. Agree somewhat 241 3. Neither agree nor disagree 265 4. Disagree somewhat 91 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961235 NUMERIC L2a Now I am going to read several statements about helping others. (Still looking at p.5 of the booklet) Please tell me how much you agree or disagree with each one. One should always find ways to help others less fortunate than oneself. ----------------------------------------------------------- 686 1. Agree strongly 695 2. Agree somewhat 106 3. Neither agree nor disagree 36 4. Disagree somewhat 7 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961236 NUMERIC L2b [RB] (Still on p. 5) A person should always be concerned about the well-being of others. ----------------------------------------------------------- See L2a for introduction. 703 1. Agree strongly 673 2. Agree somewhat 93 3. Neither agree nor disagree 51 4. Disagree somewhat 9 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961237 NUMERIC L2c [RB] (Still on p. 5) It is best not to get too involved in taking care of other people's needs. ----------------------------------------------------------- See L2a for introduction. 72 1. Agree strongly 470 2. Agree somewhat 264 3. Neither agree nor disagree 510 4. Disagree somewhat 213 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap ============================== VAR V961238 NUMERIC L2d [RB] (Still on p. 5) People tend to pay more attention to the well-being of others than they should. ----------------------------------------------------------- See L2a for introduction. 86 1. Agree strongly 271 2. Agree somewhat 304 3. Neither agree nor disagree 645 4. Disagree somewhat 220 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961239 NUMERIC L3a Not using the booklet: We're interested in how much people learn about television news personalities. Take Tom Brokaw. Do you happen to know which network he works for-- is it CBS, CNN or which? ----------------------------------------------------------- 88 1. ABC 715 2. NBC 225 3. CBS 25 4. CNN 120 5. Don't watch/have television [VOL] 17 6. R gave number or call letter of TV channel only (NFS) [VOL] 2 7. Other (specify) [VOL] 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961240 NUMERIC L3b IF R HAS NOT INDICATED 'DON'T WATCH TELEVISION' IN L3a: What about Peter Jennings? (Do you happen to know what network he works for?) ----------------------------------------------------------- See L3a for introduction. 736 1. ABC 124 2. NBC 118 3. CBS 21 4. CNN 16 6. R gave number or call letter of TV channel only (NFS) [VOL] 1 7. Other (specify) [VOL] 8. DK 7 9. NA 300 0. Inap, 5 in L3a; no Post IW ============================== VAR V961241 NUMERIC L3c IF R HAS NOT INDICATED 'DON'T WATCH TELEVISION' IN L3a: What about Dan Rather? (Do you happen to know what network he works for?) ----------------------------------------------------------- See L3a for introduction. 117 1. ABC 130 2. NBC 778 3. CBS 11 4. CNN 13 6. R gave number or call letter of TV channel only (NFS) [VOL] 4 7. Other (specify) [VOL] 8. DK 5 9. NA 300 0. Inap, 5 in L3a; no Post IW ============================== VAR V961242 NUMERIC L3d IF R HAS NOT INDICATED 'DON'T WATCH TELEVISION' IN L3a: What about Bernard Shaw? (Do you happen to know what network he works for?) ----------------------------------------------------------- See L3a for introduction. 24 1. ABC 29 2. NBC 54 3. CBS 491 4. CNN 4 6. R gave number or call letter of TV channel only (NFS) [VOL] 7 7. Other (specify) [VOL] 8. DK 9 9. NA 300 0. Inap, 5 in L3a; no Post IW ============================== VAR V961243 NUMERIC L4 What do you think of your personal financial situation these days? Would you say that your personal financial situation is VERY GOOD, GOOD, NEITHER GOOD NOR BAD, BAD, or VERY BAD? ----------------------------------------------------------- 118 1. Very good 564 2. Good 592 3. Neither good nor bad 173 4. Bad 77 5. Very bad 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961244 NUMERIC M1a (Again looking at page 5 of the booklet) Please tell me how much you agree or disagree with these statements. The first is: Public officials don't care much what people like me think. ----------------------------------------------------------- 263 1. Agree strongly 665 2. Agree somewhat 221 3. Neither agree nor disagree 327 4. Disagree somewhat 50 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961245 NUMERIC M1b [RB] (Still on p. 5) People like me don't have any say about what the government does. ----------------------------------------------------------- See M1a for introduction. 212 1. Agree strongly 474 2. Agree somewhat 150 3. Neither agree nor disagree 514 4. Disagree somewhat 179 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961246 NUMERIC M1c [RB] (Still on p. 5) Sometimes politics and government seem so complicated that a person like me can't really understand what's going on. ----------------------------------------------------------- See M1a for introduction. 289 1. Agree strongly 637 2. Agree somewhat 157 3. Neither agree nor disagree 315 4. Disagree somewhat 130 5. Disagree strongly 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961247 NUMERIC M2a [RB] (Still on p.5) Now I am going to read several statements. After each one, I would like you to tell me whether you agree strongly, agree somewhat, neither agree nor disagree, disagree somewhat, or disagree strongly with this statement. The first statement is... The newer lifestyles are contributing to the breakdown of our society. ----------------------------------------------------------- 456 1. Agree strongly 607 2. Agree somewhat 219 3. Neither agree nor disagree 138 4. Disagree somewhat 99 5. Disagree strongly 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961248 NUMERIC M2b [RB] (Still on p. 5) The world is always changing and we should adjust our view of moral behavior to those changes. ----------------------------------------------------------- See M2a for introduction. 138 1. Agree strongly 423 2. Agree somewhat 187 3. Neither agree nor disagree 411 4. Disagree somewhat 367 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961249 NUMERIC M2c [RB] (Still on p. 5) This country would have many fewer problems if there were more emphasis on traditional family ties ----------------------------------------------------------- See M2a for introduction. 772 1. Agree strongly 523 2. Agree somewhat 126 3. Neither agree nor disagree 75 4. Disagree somewhat 28 5. Disagree strongly 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961250 NUMERIC M2d [RB] (Still on p. 5) We should be more tolerant of people who choose to live according to their own moral standards, even if they are very different from our own. ----------------------------------------------------------- See M2a for introduction. 262 1. Agree strongly 589 2. Agree somewhat 272 3. Neither agree nor disagree 261 4. Disagree somewhat 138 5. Disagree strongly 8. DK 4 9. NA 180 0. Inap, no Post IW ============================== VAR V961251 NUMERIC M3 Not using the booklet - People have different ideas about the government in Washington. These ideas don't refer to Democrats or Republicans in particular, but just to the government in general. We want to see how you feel about these ideas. For example: -------------------------------------------------------VAR M3a How much of the time do you think you can trust the government in Washington to do what is right-- JUST ABOUT ALWAYS, MOST OF THE TIME, or ONLY SOME OF THE TIME? ----------------------------------------------------------- See M3 for full text. 35 1. Just about always 458 2. Most of the time 1023 3. Only some of the time 8 4. Never [VOL] 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961252 NUMERIC M4 Do you think that people in government WASTE A LOT of the money we pay in taxes, WASTE SOME OF IT, or DON'T WASTE VERY MUCH of it? ----------------------------------------------------------- See M3 for full text. 920 1. Waste a lot 585 3. Waste some 20 5. Don't waste very much 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961253 NUMERIC M5 Would you say the government is pretty much RUN BY A FEW BIG INTERESTS looking out for themselves or that it is RUN FOR THE BENEFIT OF ALL THE PEOPLE? ----------------------------------------------------------- See M3 for full text. 1061 1. Gov't run by a few big interests 409 5. Gov't run for the benefit of all 8. DK 15 9. NA 180 0. Inap, no Post IW ============================== VAR V961254 NUMERIC M6 Do you think that QUITE A FEW of the people running the government are crooked, NOT VERY MANY are, or do you think HARDLY ANY of them are crooked? ----------------------------------------------------------- See M3 for full text. 653 1. Quite a few are crooked 726 3. Not very many are crooked 134 5. Hardly any are crooked 8. DK 10 9. NA 180 0. Inap, no Post IW ============================== VAR V961255 NUMERIC M7 How much do you feel that having elections makes the government pay attention to what the people think -- A GOOD DEAL, SOME, or NOT MUCH? ----------------------------------------------------------- See M3 for full text. 658 1. A good deal 644 3. Some 220 5. Not much 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961256 NUMERIC M8 Over the years, how much attention do you feel the government pays to what people think when it decides what to do -- A GOOD DEAL, SOME, or NOT MUCH? ----------------------------------------------------------- See M3 for full text. 238 1. A good deal 953 3. Some 331 5. Not much 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961257 NUMERIC N1 Many people say they have less time these days to do volunteer work. What about you, were you able to devote any time to volunteer work in the last 12 months? ----------------------------------------------------------- 640 1. Yes 888 5. No 8. DK 5 9. NA 180 0. Inap, no Post IW ============================== VAR V961258 NUMERIC N2 Generally speaking, would you say that most people can be trusted, that you can't be too careful in dealing with people? ----------------------------------------------------------- 771 1. Most people can be trusted 746 5. You can't be too careful in dealing with people 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961259 NUMERIC N3 Do you think most people would try to take advantage of you if the got the chance or would they try to be fair? ----------------------------------------------------------- 540 1. Most people would try to take advantage 967 5. They would try to be fair 8. DK 12 9. NA 180 0. Inap, no Post IW ============================== VAR V961260 NUMERIC N4 Do you have any neighbors that you know and talk to regularly? ----------------------------------------------------------- 1199 1. Yes 329 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961261 NUMERIC N4a IF R HAS NEIGHBORS THAT R TALKS TO REGULARLY: About how many (do you talk to regularly)? (Would that be JUSE ONE, TWO OR THREE, FOUR OR FIVE, or MORE THAN FIVE?) ----------------------------------------------------------- 116 1. Just one 539 2. Two or three 259 4. Four or five 284 5. More than five 8. DK 9. NA 515 0. Inap, 5,8,9 in N4; no Post IW ============================== VAR V961262 NUMERIC N5 If you were selected to serve on a jury, would you be happy to do so or would you rather not serve? ----------------------------------------------------------- 861 1. Happy to do it 663 5. Rather not serve 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961263 NUMERIC N6 In the last twelve months, have you worked with others or joined an organization in your community to do something about some community problem? ----------------------------------------------------------- 357 1. Yes 1171 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961264 NUMERIC N7 Many people are finding it more difficult to make contributions to church or charity as much as they used to. How about you, were you able to contribute any money to church or charity in the last 12 months? ----------------------------------------------------------- 1184 1. Yes 342 5. No 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961265 NUMERIC N8 Would you say that your personal income tax burden has gone up, gone down, or stayed about the same during Clinton's time as President? ----------------------------------------------------------- 485 1. Gone up 74 3. Gone down 934 5. Stayed about the same 8. DK 12 9. NA 180 0. Inap, no Post IW ============================== VAR V961266 NUMERIC N8a/N8b IF R'S TAX BURDEN HAS GONE UP DURING CLINTON PRESIDENCY / IF R'S TAX BURDEN HAS GONE DOWN DURING CLINTON PRESIDENCY: N8a. Would you say it has gone up A LOT or A LITTLE? N8b. Would you say it has gone down A LOT or A LITTLE? ----------------------------------------------------------- Built from N8 and N8a/b. 205 1. Gone up a lot 280 2. Gone up a little 934 3. Same (5 in N8) 49 4. Gone down a little 25 5. Gone down a lot 8. DK 9. NA 221 0. Inap, 8,9 in N8; no Post IW ============================== VAR V961267 NUMERIC N10 Some people think that if a company has a history of discriminating against blacks when making hiring decisions, then they should be required to have an affirmative action program that gives blacks preference in hiring. What do you think? Should companies that have discriminated against blacks have to have an affirmative action program? ----------------------------------------------------------- 746 1. Yes, they should have to have affirmative action 668 5. No, they should not have to have affirmative action 64 7. Other (specify) [VOL] 8. DK 16 9. NA 180 0. Inap, no Post IW ============================== VAR V961268 NUMERIC N10a/N10b IF R FEELS THAT COMPANIES WHICH HAVE DISCRIMINATED SHOULD HAVE TO HAVE AFFIRMATIVE ACTION / IF R FEELS THAT COMPANIES WHICH HAVE DISCRIMINATED SHOULD NOT HAVE TO HAVE AFFIRMATIVE ACTION: N10a. Do you feel STRONGLY or NOT STRONGLY (that they should have to have affirmative action)? N10b. Do you feel STRONGLY or NOT STRONGLY (that they should not have to have affirmative action)? ----------------------------------------------------------- Built from N10 and N10a/b. 483 1. Strongly feel should have to have affirmative action 262 2. Not strongly feel should have to have affirmative action 199 4. Not strongly feel should not have to have affirmative action 468 5. Strongly feel should not have to have affirmative action 8. DK 9. NA 300 0. Inap, 7,8,9 in N10; no Post IW ============================== VAR V961269 NUMERIC N11 (Looking at page 6 of the booklet) We hear a lot of talk these days about liberals and conservatives. Here is a seven-point scale on which the political views that people might hold are arranged from extremely liberal to extremely conservative. ----------------------------------------------------------- N11a Where would you place yourself on this scale, or haven't you thought much about this? R SELF-PLACEMENT - LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. 21 1. Extremely liberal 141 2. Liberal 155 3. Slightly liberal 394 4. Moderate 226 5. Slightly conservative 262 6. Conservative 49 7. Extremely conservative 8. DK 186 9. NA; Inap, no Post IW 276 0. Haven't thought much about it ============================== VAR V961270 NUMERIC N11aa IF R PLACED SELF AS 'MODERATE' ON LIBERAL-CONSERVATIVE SCALE / IF R RESPONDED DK OR 'HAVEN'T THOUGHT MUCH' TO PLACEMENT ON LIBERAL-CONSERVATIVE SCALE: If you had to choose, would you consider yourself a liberal or a conservative? ----------------------------------------------------------- 167 1. Liberal 99 3. Moderate; middle of the road [vol] 323 5. Conservative 75 7. Refuses to choose [vol] 8. DK 9. NA 1040 0. Inap, 1-3, 5-7,9 in N11a; no Post IW ============================== VAR V961271 NUMERIC N11a(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE AT N11a/N11aa: How certain are you of this? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 610 1. Very certain 619 3. pretty certain 213 5. Not very certain 8. DK 9. NA 271 0. Inap, 9 in N11a; 7,8,9 in N11aa; no Post IW ============================== VAR V961272 NUMERIC N11x SUMMARY - SELF-PLACEMENT ON LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- Built from N11a, N11aa. 484 1. Liberal (1/2/3,0; 0/4/8,1) 131 3. Moderate (0/4/8,3; 4,7/8/9) 860 5. Conservative (5/6/7,0; 0/4/8,5) 45 7. Refuses to choose (0/8,7) 8. DK (0/8,8) 6 9. NA to entire question series (NA in N11a) or NA to follow-up question N11aa (0/8,9) 180 0. Inap, no Post IW ============================== VAR V961273 NUMERIC N11b [RB] Where would you place Clinton on this scale? CLINTON PLACEMENT - LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of Clinton, Dole and Perot in N11b-d randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 143 1. Extremely liberal 444 2. Liberal 378 3. Slightly liberal 262 4. Moderate 114 5. Slightly conservative 72 6. Conservative 29 7. Extremely conservative 8. DK 16 9. NA 180 0. Inap, no Post IW ============================== VAR V961274 NUMERIC N11b(1) IF R HAS PLACED CLINTON ON LIBERAL-CONSERVATIVE SCALE: How certain are you of Clinton's position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 428 1. Very certain 739 3. Pretty certain 272 5. Not very certain 8. DK 9. NA 272 0. Inap, 8,9 in N11b; no Post IW ============================== VAR V961275 NUMERIC N11c [RB] Where would you place Dole on this scale? DOLE PLACEMENT - LIBERAL-CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of Clinton, Dole and Perot in N11b-d randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 17 1. Extremely liberal 39 2. Liberal 104 3. Slightly liberal 199 4. Moderate 309 5. Slightly conservative 641 6. Conservative 100 7. Extremely conservative 8. DK 14 9. NA 180 0. Inap, no Post IW ============================== VAR V961276 NUMERIC N11c(1) IF R HAS PLACED DOLE ON LIBERAL-CONSERVATIVE SCALE: How certain are you of Dole's position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 387 1. Very certain 718 3. Pretty certain 302 5. Not very certain 8. DK 9. NA 305 0. Inap, 8,9 in N11c; no Post IW ============================== VAR V961277 NUMERIC N11e IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #31, #33, #35] on this scale? DEMOCRATIC HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of House candidates in N11e-N11f randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 39 1. Extremely liberal 201 2. Liberal 289 3. Slightly liberal 273 4. Moderate 100 5. Slightly conservative 39 6. Conservative 8 7. Extremely conservative 8. DK 23 9. NA 281 0. Inap, 7,8,9 in N11x; no Democratic House candidate (type race 24); Washington DC; no Post IW ============================== VAR V961278 NUMERIC N11e(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED DEMOCRATIC HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you of [NAME #31,#33,#35]'s position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 172 1. Very certain 398 3. Pretty certain 379 5. Not very certain 8. DK 9. NA 765 0. Inap, 8,9 in N11e; 7,8,9 in N11x; no Democratic House candidate (type race 24); Washington DC; no Post IW ============================== VAR V961279 NUMERIC N11f IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: [RB] Where would you place [NAME #32, #34, #36] on this scale? REPUBLICAN HOUSE CANDIDATE PLACEMENT ON LIBERAL- CONSERVATIVE 7-POINT SCALE ----------------------------------------------------------- See N11 for full text. Order of House candidates in N11e-N11f randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 4 1. Extremely liberal 30 2. Liberal 68 3. Slightly liberal 221 4. Moderate 314 5. Slightly conservative 303 6. Conservative 50 7. Extremely conservative 8. DK 22 9. NA 251 0. Inap, 7,8,9 in N11x; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961280 NUMERIC N11f(1) IF R HAS PLACED SELF ON LIBERAL-CONSERVATIVE SCALE: IF R HAS PLACED REPUBLICAN HOUSE CANDIDATE ON LIBERAL- CONSERVATIVE SCALE: How certain are you of [NAME #32,#34,#36]'s position on this scale? VERY CERTAIN, PRETTY CERTAIN or NOT VERY CERTAIN? ----------------------------------------------------------- 203 1. Very certain 440 3. Pretty certain 345 5. Not very certain 8. DK 9. NA 724 0. Inap, 8,9 in N11f; 7,8,9 in N11x; no Republican House candidate (type race 14); Washington DC; no Post IW ============================== VAR V961281 NUMERIC N12 Do you feel you are asked to pay much more than you should in federal income taxes, somewhat more than you should, about the right amount, or less than you should? ----------------------------------------------------------- 282 1. Much more 554 2. Somewhat more 550 3. About right 36 4. Less than should 87 7. Don't pay at all [VOL] 8. DK 15 9. NA 180 0. Inap, no Post IW ============================== VAR V961282 NUMERIC N13 Some political leaders think federal income taxes should be cut by 15% over the next three years. Other political leaders think this would be a bad policy for the government to follow. Do you have an opinion on this matter, or haven't you thought much about this? ----------------------------------------------------------- 763 1. Yes, have an opinion 99 5. No, no opinion 661 7. Haven't thought much about this 8. DK 11 9. NA 180 0. Inap, no Post IW ============================== VAR V961283 NUMERIC N14 IF R HAS OPINION ABOUT 15% TAX CUT: [RB] Looking on page 7 of the booklet, which of these statements best describes what you would like to see happen over the next three years? Over the next three years, federal income taxes: R'S POSITION - TAX CUT ----------------------------------------------------------- 308 1. Should not be cut 150 2. Should be cut by 10% 170 3. Should be cut by 15% 46 4. Should be cut by 20% 26 5. Should be cut by 30% 49 6. Should be cut by more than 30% 8. DK 3 9. NA 951 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR V961284 NUMERIC N14a IF R HAS OPINION ABOUT 15% TAX CUT: (Still looking at the booklet, what do you think is) Clinton's position? (On a tax cut?) CLINTON POSITION - TAX CUT ----------------------------------------------------------- See N14 for introductory text. Order of Clinton, Dole and Perot in N14a-N14c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 461 1. Should not be cut 168 2. Should be cut by 10% 48 3. Should be cut by 15% 13 4. Should be cut by 20% 7 5. Should be cut by 30% 2 6. Should be cut by more than 30% 8. DK 3 9. NA 951 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR V961285 NUMERIC N14b IF R HAS OPINION ABOUT 15% TAX CUT: (Still looking at the booklet, what do you think is) Dole's position? (On a tax cut?) DOLE POSITION - TAX CUT ----------------------------------------------------------- See N14 for introductory text. Order of Clinton, Dole and Perot in N14a-N14c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 73 1. Should not be cut 57 2. Should be cut by 10% 546 3. Should be cut by 15% 28 4. Should be cut by 20% 10 5. Should be cut by 30% 6 6. Should be cut by more than 30% 8. DK 1 9. NA 951 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR V961286 NUMERIC N14c IF R HAS OPINION ABOUT 15% TAX CUT: (Still looking at the booklet, what do you think is) Perot's position? (On a tax cut?) PEROT POSITION - TAX CUT ----------------------------------------------------------- See N14 for introductory text. Order of Clinton, Dole and Perot in N14a-N14c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 171 1. Should not be cut 77 2. Should be cut by 10% 86 3. Should be cut by 15% 82 4. Should be cut by 20% 61 5. Should be cut by 30% 72 6. Should be cut by more than 30% 8. DK 3 9. NA 951 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR V961287 NUMERIC N15 IF R HAS OPINION ABOUT 15% TAX CUT: There has been a great deal of talk about the probable effects of a 15% reduction of federal income taxes over the next three years. Have you read or heard anything about this? ----------------------------------------------------------- 482 1. Yes 280 5. No 8. DK 9. NA 951 0. Inap, 5,7,8,9 in N13; no Post IW ============================== VAR V961288 NUMERIC N16a IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: I am going to read a few of these ideas, and I would like you to tell me whether you think they would or would not happen. If federal income taxes were reduced by 15%, inflation would get worse. Do you think this would or would not happen? ----------------------------------------------------------- 194 1. Would happen 267 5. Would not happen 8. DK 1 9. NA 1232 0. Inap, 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR V961289 NUMERIC N16b IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: More people would be employed. (Do you think this would or would happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 241 1. Would happen 230 5. Would not happen 8. DK 1 9. NA 1232 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR V961290 NUMERIC N16c IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: Most of the savings would go to business and not to the ordinary taxpayer like me. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 252 1. Would happen 216 5. Would not happen 8. DK 3 9. NA 1232 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR V961291 NUMERIC N16d IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: Government programs and services would be cut back to get along on less money. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 392 1. Would happen 83 5. Would not happen 8. DK 1 9. NA 1232 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR V961292 NUMERIC N16e IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: Government deficit spending would go up. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 301 1. Would happen 163 5. Would not happen 8. DK 2 9. NA 1232 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR V961293 NUMERIC N16f IF R HAS OPINION ABOUT 15% TAX CUT: IF R HAS HEARD OR READ ABOUT EFFECTS OF POSSIBLE 15% FEDERAL TAX CUT: The government would receive about the same amount of tax money as now because the economy would be stronger. (Do you think this would or would not happen?) (If federal income taxes were reduced by 15%?) ----------------------------------------------------------- See N16a for introductory text. 227 1. Would happen 239 5. Would not happen 8. DK 3 9. NA 1232 0. Inap 5,8,9 in N15; 5,7,8,9 in N13; no Post IW ============================== VAR V961294 NUMERIC P1 Looking at page 8 of the booklet, here is a list of groups. Please read over the list and tell me the number for those groups you feel particularly close to -- people who are most like you in their ideas and interests and feelings about things. ----------------------------------------------------------- P1a [RB] GROUPS R FEELS CLOSE TO 'POOR PEOPLE' ----------------------------------------------------------- See P1 for full text. 409 1. Mentioned/marked 1110 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961295 NUMERIC P1b [RB] GROUPS R FEELS CLOSE TO 'ASIAN-AMERICANS' ----------------------------------------------------------- See P1 for full text. 84 1. Mentioned/marked 1435 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961296 NUMERIC P1c [RB] GROUPS R FEELS CLOSE TO 'LIBERALS' ----------------------------------------------------------- See P1 for full text. 210 1. Mentioned/marked 1309 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961297 NUMERIC P1d [RB] GROUPS R FEELS CLOSE TO 'THE ELDERLY' ----------------------------------------------------------- See P1 for full text. 622 1. Mentioned/marked 897 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961298 NUMERIC P1e [RB] GROUPS R FEELS CLOSE TO 'BLACKS' ----------------------------------------------------------- See P1 for full text. 238 1. Mentioned/marked 1281 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961299 NUMERIC P1f [RB] GROUPS R FEELS CLOSE TO 'LABOR UNIONS' ----------------------------------------------------------- See P1 for full text. 163 1. Mentioned/marked 1356 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961300 NUMERIC P1g [RB] GROUPS R FEELS CLOSE TO 'FEMINISTS' ----------------------------------------------------------- See P1 for full text. 163 1. Mentioned/marked 1356 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961301 NUMERIC P1h [RB] GROUPS R FEELS CLOSE TO 'SOUTHERNERS' ----------------------------------------------------------- See P1 for full text. 220 1. Mentioned/marked 1299 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961302 NUMERIC P1j [RB] GROUPS R FEELS CLOSE TO 'BUSINESS PEOPLE' ----------------------------------------------------------- See P1 for full text. 384 1. Mentioned/marked 1135 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961303 NUMERIC P1k [RB] GROUPS R FEELS CLOSE TO 'YOUNG PEOPLE' ----------------------------------------------------------- See P1 for full text. 521 1. Mentioned/marked 998 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961304 NUMERIC P1m [RB] GROUPS R FEELS CLOSE TO 'CONSERVATIVES' ----------------------------------------------------------- See P1 for full text. 435 1. Mentioned/marked 1084 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961305 NUMERIC P1n [RB] GROUPS R FEELS CLOSE TO 'HISPANIC AMERICANS' ----------------------------------------------------------- See P1 for full text. 159 1. Mentioned/marked 1360 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961306 NUMERIC P1p [RB] GROUPS R FEELS CLOSE TO 'WOMEN' ----------------------------------------------------------- See P1 for full text. 662 1. Mentioned/marked 857 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961307 NUMERIC P1q [RB] GROUPS R FEELS CLOSE TO 'WORKING-CLASS PEOPLE' ----------------------------------------------------------- See P1 for full text. 936 1. Mentioned/marked 583 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961308 NUMERIC P1r [RB] GROUPS R FEELS CLOSE TO 'WHITES' ----------------------------------------------------------- See P1 for full text. 605 1. Mentioned/marked 914 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961309 NUMERIC P1s [RB] GROUPS R FEELS CLOSE TO 'MIDDLE-CLASS PEOPLE' ----------------------------------------------------------- See P1 for full text. 937 1. Mentioned/marked 582 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961310 NUMERIC P1t [RB] GROUPS R FEELS CLOSE TO 'MEN' ----------------------------------------------------------- See P1 for full text. 423 1. Mentioned/marked 1096 5. Not mentioned/marked 8. Refused entire series 9 9. DK/NA to entire series 180 0. Inap, no Post IW ============================== VAR V961311 NUMERIC P2 (Turning to page 9 of the booklet) Now I have some questions about different groups in our society. I'm going to show you a seven-point scale on which the ----------------------------------------------------------- P2a [RB] In the first statement a score of 1 means that you think almost all of the people in that group tend to be "hard-working." A score of 7 means that you think most people in the group are "lazy." A score of 4 means that you think that most people in the group are not closer to one end or the other, and of course, you may choose any number in between. Where would you rate whites in general on this scale (hard-working)? 'HARDWORKING' - WHITES ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P2b and P2c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 128 1. Hardworking 321 2. 394 3. 537 4. 84 5. 12 6. 7 7. Lazy 8. DK 42 9. NA 180 0. Inap, no Post IW ============================== VAR V961312 NUMERIC P2b [RB] (Where would you rate) Blacks? 'HARDWORKING' -BLACKS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P2b and P2c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 58 1. Hardworking 114 2. 251 3. 643 4. 254 5. 122 6. 34 7. Lazy 8. DK 42 9. NA 180 0. Inap, no Post IW ============================== VAR V961313 NUMERIC P2c [RB] (Where would you rate) Hispanic-Americans? 'HARDWORKING' -Hispanic-Americans ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P2b and P2c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 70 1. Hardworking 178 2. 339 3. 593 4. 185 5. 65 6. 12 7. Lazy 8. DK 42 9. NA 180 0. Inap, no Post IW ============================== VAR V961314 NUMERIC P3a The next set asks if people in each group tend to be "intelligent" or "unintelligent" Turning to page 10 of the booklet: (Where would you rate) Whites (in general on this scale)? 'INTELLIGENT' - WHITES ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P3b and P3c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 141 1. Intelligent 357 2. 384 3. 527 4. 42 5. 13 6. 6 7. Unintelligent 8. DK 55 9. NA 180 0. Inap, no Post IW ============================== VAR V961315 NUMERIC P3b [RB] (Still on page 10) (Where would you rate) Blacks? 'INTELLIGENT' - BLACKS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P3b and P3c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 68 1. Intelligent 131 2. 265 3. 722 4. 200 5. 67 6. 12 7. Unintelligent 8. DK 56 9. NA 180 0. Inap, no Post IW ============================== VAR V961316 NUMERIC P3c [RB] (Still on page 10) (Where would you rate) Hispanic-Americans? 'INTELLIGENT' - HISPANIC AMERICANS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P3b and P3c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 50 1. Intelligent 115 2. 241 3. 724 4. 225 5. 59 6. 13 7. Unintelligent 8. DK 57 9. NA 180 0. Inap, no Post IW ============================== VAR V961317 NUMERIC P4a Do people in these groups tend to be "trustworthy" or do they tend to be "not trustworthy"? Turning to page 11 of the booklet: (Where would you rate) Whites (in general on this scale)? 'TRUSTWORTHY' - WHITES ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P4b and P4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 67 1. Trustworthy 299 2. 373 3. 621 4. 69 5. 24 6. 13 7. Untrustworthy 8. DK 60 9. NA 180 0. Inap, no Post IW ============================== VAR V961318 NUMERIC P4b [RB] (Still on page 11) (Where would you rate) Blacks? 'TRUSTWORTHY' - BLACKS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P4b and P4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 35 1. Trustworthy 141 2. 254 3. 707 4. 230 5. 73 6. 18 7. Untrustworthy 8. DK 61 9. NA 180 0. Inap, no Post IW ============================== VAR V961319 NUMERIC P4c [RB] (Still on page 11) (Where would you rate) Hispanic-Americans? 'TRUSTWORTHY' - HISPANIC AMERICANS ----------------------------------------------------------- See P2 for full question text. Whites are always administered first for this scale. Order of Blacks and Hispanics in P4b and P4c randomized. Randomization: Randomization is documented within the collection of randomization variables that appear at the end of the post-election survey vars. The question numbers for randomization variables follow survey question numbers, preceded by "Rand" [e.g. for question B1a there is a randomization variable Rand.B1a]. 33 1. Trustworthy 132 2. 272 3. 714 4. 193 5. 61 6. 22 7. Untrustworthy 8. DK 62 9. NA 180 0. Inap, no Post IW ============================== VAR V961320 NUMERIC P5 Turning to page 12 of the booklet: Some people think that the government in Washington ought to reduce income differences between the rich and the poor. Suppose these people are at one end of a scale at point 1. Other people think that the government should not concern itself with reducing income different between the rich and the poor. Suppose these people are at the other end of a scale at point 7. And, of course, some other people have opinions at points 2, 3, 4, 5, and 6. Where would you place yourself on this scale or haven't you thought much about this? R'S POSITION - REDUCE DIFFERENCES BETWEEN RICH AND POOR 7-POINT SCALE ----------------------------------------------------------- 115 1. Reduce differences between rich and poor 126 2. 166 3. 245 4. 150 5. 170 6. 202 7. Govt should not concern itself 8. DK 190 9. NA; Inap, no Post IW 345 0. Haven't thought much about it ============================== VAR V961321 NUMERIC Q1 (Not using the booklet) Some people have proposed that a woman on welfare who has another child not be given an increase in her welfare check. Do you FAVOR or OPPOSE this change in welfare policy? ----------------------------------------------------------- 1013 1. Favor 458 5. Oppose 8. DK 24 9. NA 180 0. Inap, no Post IW ============================== VAR V961322 NUMERIC Q1a/Q1b IF R FAVORS LAW THAT WOULD NOT ALLOW INCREASE IN WELFARE PAYMENTS FOR ADDITIONAL CHILDREN / IF R OPPOSES LAW THAT WOULD NOT ALLOW INCREASE IN WELFARE PAYMENTS FOR ADDITIONAL CHILDREN: Q1a. Do you favor this change STRONGLY or NOT STRONGLY? Q1b. Do you oppose this change STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 763 1. Favor strongly 249 2. Favor not strongly 198 4. Oppose not strongly 260 5. Oppose strongly 8. DK 9. NA 243 0. Inap, 8,9 in Q1; no Post IW ============================== VAR V961323 NUMERIC Q2 Another proposal is to put a two year limit on how long someone can receive welfare benefits. Do you FAVOR or OPPOSE this two year limit? ----------------------------------------------------------- 1167 1. Favor 330 5. Oppose 8. DK 14 9. NA 180 0. Inap, no Post IW ============================== VAR V961324 NUMERIC Q2a/Q2b IF R FAVORS 2-YEAR LIMIT ON WELFARE BENEFITS/ IF R OPPOSES 2-YEAR LIMIT ON WELFARE BENEFITS: Q2a. Do you favor the two year limit STRONGLY or NOT STRONGLY? Q2b. Do you oppose the two year limit STRONGLY or NOT STRONGLY? ----------------------------------------------------------- 860 1. Favor strongly 303 2. Favor not strongly 150 4. Oppose not strongly 179 5. Oppose strongly 8. DK 2 9. NA 217 0. Inap, 8,9 in Q2; no Post IW ============================== VAR V961325 NUMERIC Q3 Do you think the number of immigrants from foreign countries who are permitted to come to the United States to live should be INCREASED A LOT, INCREASED A LITTLE, LEFT THE SAME as it is now, DECREASED A LITTLE, or DECREASED A LOT? ----------------------------------------------------------- 27 1. Increased a lot 52 2. Increased a little 557 3. Left the same as it is now 448 4. Decreased a little 415 5. Decreased a lot 8. DK 14 9. NA 180 0. Inap, no Post IW ============================== VAR V961326 NUMERIC Q4 Do you think that immigrants who come to the U.S. should be eligible as soon as they come here for government services such as Medicaid, Food Stamps, Welfare, or should they have to be here a year or more? ----------------------------------------------------------- 183 1. Eligible as soon as they come here 1309 5. Have to wait a year 8. DK 16 9. NA 180 0. Inap, no Post IW ============================== VAR V961327 NUMERIC Q5 Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this? ----------------------------------------------------------- 452 1. Favor 394 5. Oppose 8. DK 189 9. NA; Inap, no Post IW 658 0. Haven't thought much about this ============================== VAR V961328 NUMERIC Q6 Which of the network news programs do you watch most often -- "World News Tonight" on ABC, "NBC Nightly News," "The CBS Evening News," or some other network news program? ----------------------------------------------------------- 304 1. ABC World News Tonight 365 2. NBC Nightly News 333 3. The CBS Evening News 121 4. CNN [VOL] 29 5. Local news only [VOL] 24 6. R gave number or call letters of TV channel (NFS) [VOL] 65 7. R mentions multiple news programs or multiple channels; "watch them all" [VOL] 25 8. 'MacNeil/Lehrer' or 'News Hour with Jim Lehrer' or PBS [VOL] 3 9. Don't have/don't watch TV [VOL] 197 10. Watch no network news program [VOL] 7 11. "Watch whatever is on" [VOL] 34 12. Other (specify) [VOL] 98. DK 9 99. NA 180 00. Inap, no Post IW ============================== VAR V961329 NUMERIC Q7 Did you watch the first televised presidential debate held on October 6, 1996 between Bill Clinton and Bob Dole? ----------------------------------------------------------- 771 1. Yes, watched 753 5. No, didn't watch 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961330 NUMERIC Q7a IF R WATCHED FIRST PRESIDENTIAL DEBATE: Did you watch the entire debate or just part of it? ----------------------------------------------------------- 325 1. Watched entire debate 446 5. Just part of it 8. DK 9. NA 943 0. Inap, 5,8,9 in Q7; no Post IW ============================== VAR V961331 NUMERIC Q8 Did you watch the second televised presidential debate held on October 16, 1996 between Bill Clinton and Bob Dole? ----------------------------------------------------------- 722 1. Yes, watched 801 5. No, didn't watch 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961332 NUMERIC Q8a IF R WATCHED SECOND PRESIDENTIAL DEBATE: Did you watch the entire debate or just part of it? ----------------------------------------------------------- 282 1. Watched entire debate 440 5. Just part of it 8. DK 9. NA 992 0. Inap, 5,8,9 in Q8; no post IW ============================== VAR V961333 NUMERIC Q9 Did you read about the campaign in any magazines? ----------------------------------------------------------- 512 1. Yes 1016 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961334 NUMERIC Q9a IF R READ ABOUT THE CAMPAIGN IN MAGAZINES: [RB, P. 13] How much attention did you pay to magazine articles about the campaign for President -- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 48 1. A great deal 107 2. Quite a bit 237 3. Some 111 4. Very little 9 5. None 8. DK 9. NA 1202 0. Inap, 5,8,9 in Q9; no Post IW ============================== VAR V961335 NUMERIC Q10 Did you listen to any speeches or discussions about the campaign on the radio? ----------------------------------------------------------- 604 1. Yes 924 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961336 NUMERIC Q10a IF R LISTENED TO ANY SPEECHES OR DISCUSSION ABOUT THE CAMPAIGN ON THE RADIO: Would you say you listened to A GOOD MANY, SEVERAL, or JUST ONE OR TWO? ----------------------------------------------------------- 111 1. A good many 213 3. Several 280 5. Just one or two 8. DK 9. NA 1110 0. Inap, 5,8,9 in Q10; no Post IW ============================== VAR V961337 NUMERIC Q11 Looking again at p. 13 in the booklet: In general, how much attention did you pay to news about the campaign for President -- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 199 1. A great deal 444 2. Quite a bit 581 3. Some 250 4. Very little 54 5. None 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961338 NUMERIC Q12 (Still on p. 13 in the booklet) In general, how much attention did you pay to news about the campaigns for election to Congress -- that is, the House of Representatives in Washington -- A GREAT DEAL, QUITE A BIT, SOME, VERY LITTLE, or NONE? ----------------------------------------------------------- 87 1. A great deal 191 2. Quite a bit 553 3. Some 516 4. Very little 180 5. None 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961339 NUMERIC Q13 (Not using the booklet) How much of the time do you think you can trust the media to report the news fairly? JUST ABOUT ALWAYS, MOST OF THE TIME, ONLY SOME OF THE TIME, or ALMOST NEVER? ----------------------------------------------------------- 82 1. Just about always 475 2. Most of the time 817 3. Only some of the time 131 4. Almost never 19 5. None of the time [VOL] 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961340 NUMERIC Q14 Looking at page 14 of the booklet: Here is a question about political parties. Which one of the opinions on this page best agrees with your view? You can just tell me the number of the opinion you choose: 1. A CONTINUATION OF THE TWO-PARTY SYSTEM OF DEMOCRATS AND REPUBLICANS 2. ELECTIONS IN WHICH CANDIDATES RUN AS INDIVIDUALS WITHOUT PARTY LABELS 3. THE GROWTH OF ONE OR MORE PARTIES THAT COULD EFFECTIVELY CHALLENGE THE DEMOCRATS AND REPUBLICANS ----------------------------------------------------------- 631 1. A continuation of the two party system of Democrats and Republicans 478 2. Elections in which candidates run as individuals without party labels 396 3. The growth of one or more parties that could effectively challenge the Democrats and Republicans 8. DK 12 9. NA 180 0. Inap, no Post IW ============================== VAR V961341 NUMERIC R1 (Not using the booklet) In terms of general attitudes and beliefs, how similar would you say other people are to you-- VERY SIMILAR, SOMEWHAT SIMILAR, NOT VERY SIMILAR, or NOT AT ALL SIMMIILAR ----------------------------------------------------------- 193 1. Very similar 1040 2. Somewhat similar 219 3. Not very similar 60 4. Not at all similar 8. DK 10 9. NA 180 0. Inap, no Post IW ============================== VAR V961342 NUMERIC R2 Are you a smoker? ----------------------------------------------------------- 362 1. Yes 1166 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961343 NUMERIC R2a IF R IS NOT A SMOKER: Have you ever smoked? ----------------------------------------------------------- 534 1. Yes 632 5. No 8. DK 6 9. NA 542 0. Inap, 1 in R2; no Post IW ============================== VAR V961344 NUMERIC R3 There are many types of organizations, groups, and charities that people might be involved with. We're interested in what kinds of groups you might be involved with. I'm going to read you a list of different types of organizations. For each type, could you tell me the name or names of the organizations you are involved with? ----------------------------------------------------------- THIS TEXT BEGINS THE SET OF QUESTIONS R3-R7w ('GROUPS'). Variables V961344-V961453 document the questions asked about 22 categories of groups. Variables V961454-V961458 are comprehensive summaries about all 22 categories of groups. For each of the 22 group categories (e.g. Labor Unions), the following are determined: 1) How many groups from this category R is involved with (up to 4 mentions); 2) Membership in the groups from this category; 3) Payment of dues/contributions to the groups from this category; 4) Participation in activities/meetings of the groups from this category; 5) How often politics is discussed by the groups from this category; For every group category, there are 5 category summary variables which correspond to 1)-5) above. Each of the category summary variables is descriptive of all mentions (up to 4 specific groups) for the particular category. These variables are documented below. GROUP CATEGORY VARIABLES Labor unions V961344-V961348 Business/work V961349-V961353 Veterans V961354-V961358 Church/syn. V961359-V961363 Other religious V961364-V961368 Elderly/senior V961369-V961373 Ethnic V961374-V961378 Women's V961379-V961383 Polit. issue V961384-V961388 Nonpart. Civic V961389-V961393 Liberal or Cons. V961394-V961398 Pol. Pty/Cand V961399-V961403 Children's V961404-V961408 Literary, Art V961409-V961413 Hobby V961414-V961418 Neighborhood V961419-V961423 Fraternal V961424-V961428 Service Needy V961429-V961433 Educational V961434-V961438 Cultural V961439-V961443 Self-Help V961444-V961448 Other V961449-V961553 [Note: For users who are interested in data for the individual groups-- Group1, Group2, Group3, Group4-- comprising a group category, the specific responses to the dues, activities, and political discussion questions [2) to 4) above] for each specific group within a category can be obtained using the procedure described in the special Appendix, "ACCESSING GROUP-SPECIFIC POST DATA (SECTION R)." Note that the textual identifications of the Group1, Group2, Group3 and Group4 mentions are not available, but that the identities of Groups 1-4 are consistent in all variables within a category.] Our first type of group is labor unions. (Are you involved with any labor unions?) Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF LABOR UNIONS MENTIONED ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1319 0. No, not involved with any 183 1. One 24 2. Two 7 3. Three 1 4. Four 9. Inap, no Post IW ============================== VAR V961345 NUMERIC R4a IF R IS INVOLVED WITH ANY LABOR UNIONS: How about the [NAME OF GROUP]? Are you a member of this group? LABOR UNION MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 7 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 179 1. Group 1 only 4 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 17 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 7 123. Groups 1, 2 and 3 124. Groups 1,2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3a) 180 9999. Inap, no Post IW ============================== VAR V961346 NUMERIC R5a IF R IS INVOLVED WITH ANY LABOR UNIONS: In the past 12 months have you paid dues or given any money to this group? LABOR UNION MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 46 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 154 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 10 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and4 PAYMENT TO THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any labor unions (0,8,9 in R3a) 180 9999. Inap, no Post IW ============================== VAR V961347 NUMERIC R6a IF R IS INVOLVED WITH ANY LABOR UNIONS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? LABOR UNION MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has attended a meeting and/or taken part in any activities. 120 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 86 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 5 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 1 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any labor unions (0,8,9 in R3a) 180 9999. Inap, no Post IW ============================== VAR V961348 NUMERIC R7a IF R IS INVOLVED WITH ANY LABOR UNIONS: How often does this group discuss politics-- often, sometimes, rarely or never? LABOR UNION MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if politics is discussed "often" or "sometimes." 103 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 98 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 11 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1,2 and 4 134. Groups 1, 3 and 4 234. Groups 2,3 and 4 DISCUSS IN FOUR GROUPS: 1 1234. Groups 1,2,3,4 9996. Inap, R not involved with any labor unions (0,8,9 in R3a) 180 9999. Inap, no post IW ============================== VAR V961349 NUMERIC R3b How about other organizations associated with your work such as a business or professional association or a farm organization? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF BUSINESS OR WORK-RELATED GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1272 0. No, not involved with any 164 1. One 51 2. Two 32 3. Three 15 4. Four 9. Inap, no Post IW ============================== VAR V961350 NUMERIC R4b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? BUSINESS OR WORK-RELATED GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 13 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 160 1. Group 1 only 3 2. Group 2 only 1 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 49 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 23 123. Groups 1, 2 and 3 1 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 11 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 180 9999. Inap, no Post IW ============================== VAR V961351 NUMERIC R5b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: In the past 12 months have you paid dues or given any money to this group? BUSINESS OR WORK-RELATED GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 61 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 118 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 44 12. Groups 1 and 2 1 13. Groups 1 and 3 1 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 24 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 9 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 180 9999. Inap, no Post IW ============================== VAR V961352 NUMERIC R6b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? BUSINESS OR WORK-RELATED GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 79 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 117 1. Group 1 only 11 2. Group 2 only 3 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 25 12. Groups 1 and 2 9 13. Groups 1 and 3 14. Groups 1 and 4 2 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 11 123. Groups 1 and 2 1 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 2 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 180 9999. Inap, no Post IW ============================== VAR V961353 NUMERIC R7b IF R IS INVOLVED WITH ANY BUSINESS OR WORK-RELATED GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? BUSINESS OR WORK-RELATED MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 156 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 56 1. Group 1 only 9 2. Group 2 only 3 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 14 12. Groups 1 and 2 5 13. Groups 1 and 3 14. Groups 1 and 4 3 23. Groups 2 and 3 24. Groups 2 and 4 1 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 11 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 2 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3b) 180 9999. Inap, no Post IW ============================== VAR V961354 NUMERIC R3c Veterans organizations such as the American Legion or the Veterans of Foreign wars? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF VETERANS GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1413 0. No, not involved with any 92 1. One 21 2. Two 5 3. Three 3 4. Four 9. Inap, no Post IW ============================== VAR V961355 NUMERIC R4c IF R IS INVOLVED WITH ANY VETERANS GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? VETERANS GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 24 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 72 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 19 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 3 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 180 9999. Inap, no Post IW ============================== VAR V961356 NUMERIC R5c IF R IS INVOLVED WITH ANY VETERANS GROUPS: In the past 12 months have you paid dues or given any money to this group? VETERANS GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 26 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 72 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 15 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 4 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 180 9999. Inap, no Post IW ============================== VAR V961357 NUMERIC R6c IF R IS INVOLVED WITH ANY VETERANS GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? VETERANS GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 70 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 35 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 13 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 1 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 180 9999. Inap, no Post IW ============================== VAR V961358 NUMERIC R7c IF R IS INVOLVED WITH ANY VETERANS GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? VETERANS GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 79 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 28 1. Group 1 only 4 2. Group 2 only 1 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 6 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 2 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3c) 180 9999. Inap, no Post IW ============================== VAR V961359 NUMERIC R3d Are you a member of a local church, parish or synagogue? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CHURCH/PARISH/SYNAGOGUE MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 637 0. No, not involved with any 861 1. One 30 2. Two 6 3. Three 4. Four 9. Inap, no Post IW ============================== VAR V961360 NUMERIC R4d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: How about the [NAME OF GROUP]? Are you a member of this group? CHURCH/PARISH/SYNAGOGUE MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 46 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 833 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 10 12. Groups 1 and 2 3 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 180 9999. Inap, no Post IW ============================== VAR V961361 NUMERIC R5d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: In the past 12 months have you paid dues or given any money to this group? CHURCH/PARISH/SYNAGOGUE MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 74 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 806 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 180 9999. Inap, no Post IW ============================== VAR V961362 NUMERIC R6d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CHURCH/PARISH/SYNAGOGUE MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 226 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 650 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 4 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 180 9999. Inap, no Post IW ============================== VAR V961363 NUMERIC R7d IF R IS INVOLVED WITH CHURCH/PARISH/SYNAGOGUE: How often does this group discuss politics-- often, sometimes, rarely or never? CHURCH/PARISH/SYNAGOGUE MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 764 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 124 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 2 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 3 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3d) 180 9999. Inap, no Post IW ============================== VAR V961364 NUMERIC R3e How about other organizations such affiliated with your religion besides that, such as the Knights of Columbus or B'nai B'rith, or a bible study group? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF OTHER RELIGIOUS GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1337 0. No, not involved with any 150 1. One 28 2. Two 9 3. Three 10 4. Four 9. Inap, no Post IW ============================== VAR V961365 NUMERIC R4e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? OTHER RELIGIOUS GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 15 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 139 1. Group 1 only 2 2. Group 2 only 1 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 23 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 9 123. Groups 1, 2 and 3 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 180 9999. Inap, no Post IW ============================== VAR V961366 NUMERIC R5e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: In the past 12 months have you paid dues or given any money to this group? OTHER RELIGIOUS GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 69 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 103 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 15 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 1 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 2 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 180 9999. Inap, no Post IW ============================== VAR V961367 NUMERIC R6e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? OTHER RELIGIOUS GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 48 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 112 1. Group 1 only 2. Group 2 only 3. Group 3 only 1 4. Group 4 only ACTIVITIES IN TWO GROUPS: 22 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 1 24. Groups 2 and 4 1 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 8 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 4 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 180 9999. Inap, no Post IW ============================== VAR V961368 NUMERIC R7e IF R IS INVOLVED WITH ANY OTHER RELIGIOUS GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? OTHER RELIGIOUS GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 159 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 31 1. Group 1 only 2 2. Group 2 only 1 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 2 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 1 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3e) 180 9999. Inap, no Post IW ============================== VAR V961369 NUMERIC R3f Organizations for the elderly or senior citizens? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF ELDERLY/SENIOR GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1357 0. No, not involved with any 155 1. One 18 2. Two 4 3. Three 4. Four 9. Inap, no Post IW ============================== VAR V961370 NUMERIC R4f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? ELDERLY/SENIOR GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 15 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 145 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12 12. Groups 1 and 2 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 180 9999. Inap, no Post IW ============================== VAR V961371 NUMERIC R5f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: In the past 12 months have you paid dues or given any money to this group? ELDERLY/SENIOR GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 45 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 117 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 10 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 180 9999. Inap, no Post IW ============================== VAR V961372 NUMERIC R6f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? ELDERLY/SENIOR GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 110 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 56 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 5 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 2 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 180 9999. Inap, no Post IW ============================== VAR V961373 NUMERIC R7f IF R IS INVOLVED WITH ANY ELDERLY/SENIOR GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? ELDERLY/SENIOR GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 99 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 72 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3f) 180 9999. Inap, no Post IW ============================== VAR V961374 NUMERIC R3g Organizations representing your own particular nationality or ethnic group such as the Polish-American Congress, the Mexican-American Legal Defense, or the National Association for the Advancement of Colored People? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF ETHNIC/NATIONALITY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1476 0. No, not involved with any 51 1. One 6 2. Two 1 3. Three 4. Four 9. Inap, no Post IW ============================== VAR V961375 NUMERIC R4g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? ETHNIC/NATIONALITY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 5 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 47 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 180 9999. Inap, no Post IW ============================== VAR V961376 NUMERIC R5g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: In the past 12 months have you paid dues or given any money to this group? ETHNIC/NATIONALITY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 21 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 31 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 5 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 180 9999. Inap, no Post IW ============================== VAR V961377 NUMERIC R6g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? ETHNIC/NATIONALITY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 22 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 31 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 1 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 180 9999. Inap, no Post IW ============================== VAR V961378 NUMERIC R7g IF R IS INVOLVED WITH ANY ETHNIC/NATIONALITY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? ETHNIC/NATIONALITY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 28 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 27 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3g) 180 9999. Inap, no Post IW ============================== VAR V961379 NUMERIC R3h Organizations mainly interested in issues promoting the rights or the welfare of women -- an organization such as the National Organization for women, or the Eagle Forum, or the American Association of University Women? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF WOMEN'S GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1511 0. No, not involved with any 19 1. One 4 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR V961380 NUMERIC R4h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? WOMEN'S GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 4 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 18 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 180 9999. Inap, no Post IW ============================== VAR V961381 NUMERIC R5h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: In the past 12 months have you paid dues or given any money to this group? WOMEN'S GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 7 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 15 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 180 9999. Inap, no Post IW ============================== VAR V961382 NUMERIC R6h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? WOMEN'S GROUPS MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 10 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 11 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 2 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 180 9999. Inap, no Post IW ============================== VAR V961383 NUMERIC R7h IF R IS INVOLVED WITH ANY WOMENS' GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? WOMEN'S GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 13 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 9 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3h) 180 9999. Inap, no Post IW ============================== VAR V961384 NUMERIC R3i Organizations active on any particular political issues such as the environment or abortion (on either side), or gun control (on either side) or consumer's rights, or the rights of taxpayers or any other issues? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF POLITICAL ISSUE GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1436 0. No, not involved with any 58 1. One 24 2. Two 9 3. Three 7 4. Four 9. Inap, no Post IW ============================== VAR V961385 NUMERIC R4i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? POLITICAL ISSUE GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 9 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 56 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 17 12. Groups 1 and 2 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 1 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 7 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 180 9999. Inap, no Post IW ============================== VAR V961386 NUMERIC R5i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: In the past 12 months have you paid dues or given any money to this group? POLITICAL ISSUE GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 22 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 46 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 17 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 6 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 180 9999. Inap, no Post IW ============================== VAR V961387 NUMERIC R6i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? POLITICAL ISSUE GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 69 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 20 1. Group 1 only 1 2. Group 2 only 1 3. Group 3 only 1 4. Group 4 only ACTIVITIES IN TWO GROUPS: 5 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 180 9999. Inap, no Post IW ============================== VAR V961388 NUMERIC R7i IF R IS INVOLVED WITH ANY POLITICAL ISSUE GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? POLITICAL ISSUE GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 27 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 43 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 18 12. Groups 1 and 2 4 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 3 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 2 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3i) 180 9999. Inap, no Post IW ============================== VAR V961389 NUMERIC R3j Nonpartisan civic organizations interested in the political life of the community or nation --such as the League of Women's Voters or a better government association? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CIVIC GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1504 0. No, not involved with any 22 1. One 6 2. Two 3. Three 2 4. Four 9. Inap, no Post IW ============================== VAR V961390 NUMERIC R4j IF R IS INVOLVED WITH ANY CIVIC GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CIVIC GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 4 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 20 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 2 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 180 9999. Inap, no Post IW ============================== VAR V961391 NUMERIC R5j IF R IS INVOLVED WITH ANY CIVIC GROUPS: In the past 12 months have you paid dues or given any money to this group? CIVIC GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 9 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 14 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 5 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 2 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 180 9999. Inap, no Post IW ============================== VAR V961392 NUMERIC R6j IF R IS INVOLVED WITH ANY CIVIC GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CIVIC GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 6 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 18 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 1 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 180 9999. Inap, no Post IW ============================== VAR V961393 NUMERIC R7j IF R IS INVOLVED WITH ANY CIVIC GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CIVIC GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 12 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 12 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 1 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3j) 180 9999. Inap, no Post IW ============================== VAR V961394 NUMERIC R3k Organizations that support general liberal or conservative causes such as Americans for Democratic Action or the Conservative Caucus? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF LIBERAL OR CONSERVATIVE GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1531 0. No, not involved with any 3 1. One 2. Two 3. Three 4. Four 9. Inap, no Post IW ============================== VAR V961395 NUMERIC R4k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? LIBERAL OR CONSERVATIVE GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 1 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 2 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 180 9999. Inap, no Post IW ============================== VAR V961396 NUMERIC R5k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: In the past 12 months have you paid dues or given any money to this group? LIBERAL OR CONSERVATIVE GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 3 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 180 9999. Inap, no Post IW ============================== VAR V961397 NUMERIC R6k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? LIBERAL OR CONSERVATIVE GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 3 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 180 9999. Inap, no Post IW ============================== VAR V961398 NUMERIC R7k IF R IS INVOLVED WITH ANY LIBERAL OR CONSERVATIVE GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? LIBERAL OR CONSERVATIVE GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 3 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3k) 180 9999. Inap, no Post IW ============================== VAR V961399 NUMERIC R3L Organizations active in supporting candidates for elections such as a political party organization? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CANDIDATE SUPPORT GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1486 0. No, not involved with any 42 1. One 5 2. Two 1 3. Three 4. Four 9. Inap, no Post IW ============================== VAR V961400 NUMERIC R4L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CANDIDATE SUPPORT GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 6 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 37 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 180 9999. Inap, no Post IW ============================== VAR V961401 NUMERIC R5L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: In the past 12 months have you paid dues or given any money to this group? CANDIDATE SUPPORT GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 25 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 21 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 180 9999. Inap, no Post IW ============================== VAR V961402 NUMERIC R6L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CANDIDATE SUPPORT GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 31 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 16 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 180 9999. Inap, no Post IW ============================== VAR V961403 NUMERIC R7L IF R IS INVOLVED WITH ANY CANDIDATE SUPPORT GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CANDIDATE SUPPORT GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 11 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 35 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3L) 180 9999. Inap, no Post IW ============================== VAR V961404 NUMERIC R3m Groups in which children might participate, such as Girl Scouts, 4-H, youth sports leagues such as soccer or Little League? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CHILDREN' ACTIVITY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1289 0. No, not involved with any 146 1. One 65 2. Two 23 3. Three 11 4. Four 9. Inap, no Post IW ============================== VAR V961405 NUMERIC R4m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CHILDREN' ACTIVITY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 72 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 112 1. Group 1 only 7 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 29 12. Groups 1 and 2 2 13. Groups 1 and 3 1 14. Groups 1 and 4 2 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 14 123. Groups 1, 2 and 3 1 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 180 9999. Inap, no Post IW ============================== VAR V961406 NUMERIC R5m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: In the past 12 months have you paid dues or given any money to this group? CHILDREN' ACTIVITY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 53 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 119 1. Group 1 only 7 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 39 12. Groups 1 and 2 3 13. Groups 1 and 3 14. Groups 1 and 4 2 23. Groups 2 and 3 24. Groups 2 and 4 1 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 14 123. Groups 1, 2 and 3 1 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 180 9999. Inap, no Post IW ============================== VAR V961407 NUMERIC R6m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CHILDREN' ACTIVITY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 41 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 128 1. Group 1 only 5 2. Group 2 only 3. Group 3 only 1 4. Group 4 only ACTIVITIES IN TWO GROUPS: 45 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 13 123. Groups 1 and 2 1 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 2 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 7 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 180 9999. Inap, no Post IW ============================== VAR V961408 NUMERIC R7m IF R IS INVOLVED WITH ANY CHILDREN' ACTIVITY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CHILDREN' ACTIVITY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 225 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 8 1. Group 1 only 6 2. Group 2 only 2 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 1 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3m) 180 9999. Inap, no Post IW ============================== VAR V961409 NUMERIC R3n Literary, art, discussion or study groups? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF LITERARY/ ART/ DISCUSSION GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1480 0. No, not involved with any 40 1. One 6 2. Two 4 3. Three 4 4. Four 9. Inap, no Post IW ============================== VAR V961410 NUMERIC R4n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? LITERARY/ ART/ DISCUSSION GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 4 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 37 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 7 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 3 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 3 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 180 9999. Inap, no Post IW ============================== VAR V961411 NUMERIC R5n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: In the past 12 months have you paid dues or given any money to this group? LITERARY/ ART/ DISCUSSION GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 26 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 17 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 5 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 2 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 180 9999. Inap, no Post IW ============================== VAR V961412 NUMERIC R6n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? LITERARY/ ART/ DISCUSSION GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 6 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 34 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 6 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 3 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 4 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 180 9999. Inap, no Post IW ============================== VAR V961413 NUMERIC R7n IF R IS INVOLVED WITH ANY LITERARY/ ART/ DISCUSSION GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? LITERARY/ ART/ DISCUSSION GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 39 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 9 1. Group 1 only 1 2. Group 2 only 2 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 2 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3n) 180 9999. Inap, no Post IW ============================== VAR V961414 NUMERIC R3p Hobby clubs, sports or country clubs, bowling leagues, or other groups for leisure time activities? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF HOBBY/ SPORTS GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1258 0. No, not involved with any 210 1. One 50 2. Two 12 3. Three 4 4. Four 9. Inap, no Post IW ============================== VAR V961415 NUMERIC R4p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? HOBBY/ SPORTS GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 15 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 201 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 46 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 1 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 8 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 2 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 180 9999. Inap, no Post IW ============================== VAR V961416 NUMERIC R5p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: In the past 12 months have you paid dues or given any money to this group? HOBBY/ SPORTS GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 59 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 161 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 38 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 11 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 3 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 180 9999. Inap, no Post IW ============================== VAR V961417 NUMERIC R6p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? HOBBY/ SPORTS GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 56 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 167 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 37 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 1 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 8 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 3 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 180 9999. Inap, no Post IW ============================== VAR V961418 NUMERIC R7p IF R IS INVOLVED WITH ANY HOBBY/ SPORTS GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? HOBBY/ SPORTS GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 216 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 52 1. Group 1 only 1 2. Group 2 only 2 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3p) 180 9999. Inap, no Post IW ============================== VAR V961419 NUMERIC R3q Associations related to where you live --neighborhood or community associations, homeowners' or condominium associations, or block clubs? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1330 0. No, not involved with any 188 1. One 13 2. Two 2 3. Three 1 4. Four 9. Inap, no Post IW ============================== VAR V961420 NUMERIC R4q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 9 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 182 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 11 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 180 9999. Inap, no Post IW ============================== VAR V961421 NUMERIC R5q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: In the past 12 months have you paid dues or given any money to this group? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 56 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 137 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 6 12. Groups 1 and 2 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 180 9999. Inap, no Post IW ============================== VAR V961422 NUMERIC R6q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 51 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 142 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 8 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 1 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 180 9999. Inap, no Post IW ============================== VAR V961423 NUMERIC R7q IF R IS INVOLVED WITH ANY NEIGHBORHOOD OR COMMUNITY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? NEIGHBORHOOD OR COMMUNITY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 153 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 46 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3q) 180 9999. Inap, no Post IW ============================== VAR V961424 NUMERIC R3r Service or fraternal organizations such as the Lions or Kiwanis or a local women's club or a college fraternity or sorority? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF SERVICE OR FRATERNAL GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1410 0. No, not involved with any 106 1. One 17 2. Two 3. Three 1 4. Four 9. Inap, no Post IW ============================== VAR V961425 NUMERIC R4r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? SERVICE OR FRATERNAL GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 4 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 103 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 16 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 180 9999. Inap, no Post IW ============================== VAR V961426 NUMERIC R5r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: In the past 12 months have you paid dues or given any money to this group? SERVICE OR FRATERNAL GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 27 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 87 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 9 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 180 9999. Inap, no Post IW ============================== VAR V961427 NUMERIC R6r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? SERVICE OR FRATERNAL GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 36 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 76 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 8 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 180 9999. Inap, no Post IW ============================== VAR V961428 NUMERIC R7r IF R IS INVOLVED WITH ANY SERVICE OR FRATERNAL GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? SERVICE OR FRATERNAL GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 103 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 14 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3r) 180 9999. Inap, no Post IW ============================== VAR V961429 NUMERIC R3s Organizations that provide services in such fields as health or service to the needy-- for instance, a hospital, a cancer or heart drive, or a group like the Salvation Army that works for the poor? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF SERVICE TO NEEDY GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1379 0. No, not involved with any 111 1. One 29 2. Two 8 3. Three 7 4. Four 9. Inap, no Post IW ============================== VAR V961430 NUMERIC R4s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? SERVICE TO NEEDY GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 53 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 70 1. Group 1 only 4 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 16 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 2 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 5 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 180 9999. Inap, no Post IW ============================== VAR V961431 NUMERIC R5s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: In the past 12 months have you paid dues or given any money to this group? SERVICE TO NEEDY GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 60 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 66 1. Group 1 only 5 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 16 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 3 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 5 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 180 9999. Inap, no Post IW ============================== VAR V961432 NUMERIC R6s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? SERVICE TO NEEDY GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 64 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 69 1. Group 1 only 4 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 11 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 1 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 4 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 180 9999. Inap, no Post IW ============================== VAR V961433 NUMERIC R7s IF R IS INVOLVED WITH ANY SERVICE TO NEEDY GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? SERVICE TO NEEDY GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 129 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 18 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 1 4. Group 4 only DISCUSS IN TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 1 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 1 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3s) 180 9999. Inap, no Post IW ============================== VAR V961434 NUMERIC R3t Educational institutions-- local schools, your own school or college, organizations associated with education such as school alumni associations or school service organizations such as the PTA? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF EDUCATIONAL GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1253 0. No, not involved with any 232 1. One 38 2. Two 7 3. Three 4 4. Four 9. Inap, no Post IW ============================== VAR V961435 NUMERIC R4t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? EDUCATIONAL GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 28 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 209 1. Group 1 only 2 2. Group 2 only 1 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 33 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 6 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 180 9999. Inap, no Post IW ============================== VAR V961436 NUMERIC R5t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: In the past 12 months have you paid dues or given any money to this group? EDUCATIONAL GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 80 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 170 1. Group 1 only 4 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 20 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 3 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 1 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 2 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 180 9999. Inap, no Post IW ============================== VAR V961437 NUMERIC R6t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? EDUCATIONAL GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 97 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 155 1. Group 1 only 4 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 20 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 1 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 2 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 2 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 180 9999. Inap, no Post IW ============================== VAR V961438 NUMERIC R7t IF R IS INVOLVED WITH ANY EDUCATIONAL GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? EDUCATIONAL GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 212 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 60 1. Group 1 only 1 2. Group 2 only 1 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 5 12. Groups 1 and 2 13. Groups 1 and 3 1 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3t) 180 9999. Inap, no Post IW ============================== VAR V961439 NUMERIC R3u Organizations that are active in providing cultural services to the public --for example, museums, symphonies, or public radio or television? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF CULTURAL SERVICE GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1431 0. No, not involved with any 70 1. One 21 2. Two 3 3. Three 9 4. Four 9. Inap, no Post IW ============================== VAR V961440 NUMERIC R4u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? CULTURAL SERVICE GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 11 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 64 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 15 12. Groups 1 and 2 1 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 2 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 8 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 180 9999. Inap, no Post IW ============================== VAR V961441 NUMERIC R5u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: In the past 12 months have you paid dues or given any money to this group? CULTURAL SERVICE GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 16 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 64 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 13 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 4 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 6 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 180 9999. Inap, no Post IW ============================== VAR V961442 NUMERIC R6u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? CULTURAL SERVICE GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 49 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 37 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 6 12. Groups 1 and 2 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 2 123. Groups 1 and 2 124. Groups 1, 2 and 4 1 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 4 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 180 9999. Inap, no Post IW ============================== VAR V961443 NUMERIC R7u IF R IS INVOLVED WITH ANY CULTURAL SERVICE GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? CULTURAL SERVICE GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 75 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 20 1. Group 1 only 2 2. Group 2 only 1 3. Group 3 only 2 4. Group 4 only DISCUSS IN TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3u) 180 9999. Inap, no Post IW ============================== VAR V961444 NUMERIC R3v Support or self-help groups such as AA or Gamblers' Anonymous? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF SUPPORT/SELF-HELP GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1491 0. No, not involved with any 36 1. One 5 2. Two 1 3. Three 1 4. Four 9. Inap, no Post IW ============================== VAR V961445 NUMERIC R4v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? SUPPORT/SELF-HELP GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 8 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 29 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 3 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 180 9999. Inap, no Post IW ============================== VAR V961446 NUMERIC R5v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: In the past 12 months have you paid dues or given any money to this group? SUPPORT/SELF-HELP GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 16 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 22 1. Group 1 only 1 2. Group 2 only 3. Group 3 only 1 4. Group 4 only PAYMENT TO TWO GROUPS: 2 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 1 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 180 9999. Inap, no Post IW ============================== VAR V961447 NUMERIC R6v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? SUPPORT/SELF-HELP GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 12 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 25 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 1 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 180 9999. Inap, no Post IW ============================== VAR V961448 NUMERIC R7v IF R IS INVOLVED WITH ANY SUPPORT/SELF-HELP GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? SUPPORT/SELF-HELP GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 37 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 5 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 1 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3v) 180 9999. Inap, no Post IW ============================== VAR V961449 NUMERIC R3w Any other organizations? Which ones? (PROBE: "Any others?" UNTIL R SAYS NO OR 4 GROUPS ARE NAMED) SUMMARY - NUMBER OF OTHER GROUP MENTIONS ----------------------------------------------------------- See R3 for full text and note. Code 0 includes DK/NA responses to filter ('Are you involved with any...'). 1436 0. No, not involved with any 79 1. One 15 2. Two 3 3. Three 1 4. Four 9. Inap, no Post IW ============================== VAR V961450 NUMERIC R4w IF R IS INVOLVED WITH ANY OTHER GROUPS: How about the [NAME OF GROUP]? Are you a member of this group? OTHER GROUP MENTIONS MEMBERSHIP SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. 10 0. Not a member of any group mentioned by R MEMBER OF ONE GROUP: 72 1. Group 1 only 2. Group 2 only 3. Group 3 only 4. Group 4 only MEMBER OF TWO GROUPS: 13 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 MEMBER OF THREE GROUPS: 3 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 MEMBER OF FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 180 9999. Inap, no Post IW ============================== VAR V961451 NUMERIC R5w IF R IS INVOLVED WITH ANY OTHER GROUPS: In the past 12 months have you paid dues or given any money to this group? OTHER GROUP MENTIONS DUES AND CONTRIBUTIONS SUMMARY ----------------------------------------------------------- See R3 for full text and note. The groups identified as Group1, Group2, Group3 or Group4 are consistently identified in all questions. A group is coded if R has paid dues and/or made any other type of contribution. 1458 0. No payment of any dues or contributions to any group mentioned by R PAYMENT TO ONE GROUP: 59 1. Group 1 only 2 2. Group 2 only 3. Group 3 only 4. Group 4 only PAYMENT TO TWO GROUPS: 12 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 PAYMENT TO THREE GROUPS: 3 123. Groups 1, 2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 PAYMENT TO FOUR GROUPS: 1234. Groups 1, 2, 3 and 4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 180 9999. Inap, no Post IW ============================== VAR V961452 NUMERIC R6w IF R IS INVOLVED WITH ANY OTHER GROUPS: In the last 12 months have you taken part in any activities sponsored by this group or attended a meeting of this group? OTHER GROUP MENTIONS MEETINGS AND ACTIVITIES SUMMARY ----------------------------------------------------------- 43 0. No meetings or activities in any group mentioned ACTIVITIES IN ONE GROUP: 47 1. Group 1 only 2 2. Group 2 only 1 3. Group 3 only 4. Group 4 only ACTIVITIES IN TWO GROUPS: 4 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 ACTIVITIES IN THREE GROUPS: 1 123. Groups 1 and 2 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 ACTIVITIES IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 180 9999. Inap, no Post IW ============================== VAR V961453 NUMERIC R7w IF R IS INVOLVED WITH ANY OTHER GROUPS: How often does this group discuss politics-- often, sometimes, rarely or never? OTHER GROUP MENTIONS DISCUSSION OF POLITICS "OFTEN" or "SOMETIMES" - SUMMARY ----------------------------------------------------------- 59 0. No group mentioned discusses politics "often" or "sometimes" DISCUSS IN ONE GROUP: 30 1. Group 1 only 3 2. Group 2 only 3. Group 3 only 4. Group 4 only DISCUSS IN TWO GROUPS: 6 12. Groups 1 and 2 13. Groups 1 and 3 14. Groups 1 and 4 23. Groups 2 and 3 24. Groups 2 and 4 34. Groups 3 and 4 DISCUSS IN THREE GROUPS: 123. Groups 1,2 and 3 124. Groups 1, 2 and 4 134. Groups 1, 3 and 4 234. Groups 2, 3 and 4 DISCUSS IN FOUR GROUPS: 1234. Groups 1,2,3,4 9996. Inap, R not involved with any groups of this type (0,8,9 in R3w) 180 9999. Inap, no Post IW ============================== VAR V961454 NUMERIC R3x SUMMARY - TOTAL NUMBER OF GROUPS MENTIONED BY R ----------------------------------------------------------- Built from R3a-w. 99. NA; Inap, no Post IW ============================== VAR V961455 NUMERIC R4x SUMMARY - TOTAL NUMBER OF GROUPS IN WHICH R REPORTED BEING A MEMBER ----------------------------------------------------------- Built from R4a-w. 99. NA; Inap, no Post IW ============================== VAR V961456 NUMERIC R5x SUMMARY - TOTAL NUMBER OF GROUPS TO WHICH R REPORTED PAYING DUES OR CONTRIBUTIONS ----------------------------------------------------------- Built from R5a-w. 99. NA; Inap, no Post IW ============================== VAR V961457 NUMERIC R6x SUMMARY - TOTAL NUMBER OF GROUPS FOR WHICH R REPORTED MEETINGS OR ACTIVITIES ----------------------------------------------------------- Built from R6a-w. 99. NA; Inap, no Post IW ============================== VAR V961458 NUMERIC R7x SUMMARY - TOTAL NUMBER OF GROUPS FOR WHICH R REPORTED POLITICAL DISCUSSION "OFTEN" OR "SOMETIMES" ----------------------------------------------------------- Built from R7a-w. 99. NA; Inap, no Post IW ============================== VAR V961459 NUMERIC T1 On the whole, are you satisfied, fairly satisfied, not very satisfied, or not at all satisfied with the way democracy works in the United States? ----------------------------------------------------------- 418 1. Satisfied 798 2. Fairly satisfied 258 3. Not very satisfied 37 4. Not at all satisfied 8. DK 9 9. NA 180 0. Inap, no Post IW ============================== VAR V961460 NUMERIC T2 [RB, P.15] Looking at page 15 in the booklet: In some countries, people believe their elections are conducted fairly. In other countries, people believe that their elections are conducted unfairly. Thinking of the last election in the United States, where would you place it on this scale of one to five where 1 means that the last election was conducted fairly and 5 means that the last election was conducted unfairly? ----------------------------------------------------------- 746 1. Last election conducted fairly 394 2. 227 3. 92 4. 54 5. Last election conducted unfairly 8. DK 10 9. NA 180 0. Inap, no Post IW ============================== VAR V961461 NUMERIC T3 (Not using the booklet) Do you usually think of yourself as close to any particular political party? ----------------------------------------------------------- 870 1. Yes 655 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961462 NUMERIC T3(1) IF R THINKS OF SELF AS CLOSE TO ANY POLITICAL PARTY: Which party is that? MENTION 1 ----------------------------------------------------------- 472 1. Democratic Party 387 3. Republican Party 11 5. Other party (specify) 8. DK 9. NA 844 0. Inap, 5,8,9 in T3; no Post IW ============================== VAR V961463 NUMERIC T3(2) IF R THINKS OF SELF AS CLOSE TO ANY POLITICAL PARTY: Which party is that? MENTION 2 ----------------------------------------------------------- 1. Democratic Party 3. Republican Party 5. Other party (specify) 0. Inap, 5,8,9 in T3; 8,9 in T3(1); no further mention; no Post IW ============================== VAR V961464 NUMERIC T3b CHECKPOINT NUMBER OF PARTIES R MENTIONED AS 'CLOSE TO' ----------------------------------------------------------- 655 0. No party (5 in T3) 870 1. One party 2. Two or more parties 9. Inap, 8,9 in T3; 8,9 in T3(1); no Post IW ============================== VAR V961465 NUMERIC T3c IF R THINKS OF SELF AS CLOSE TO MORE THAN ONE POLITICAL PARTY / IF R DOESN'T THINK OF SELF AS CLOSE TO A POLITICAL PARTY: Do you feel yourself a little closer to one of the political parties than the others? ----------------------------------------------------------- 320 1. Yes 335 5. No 8. DK 9. NA 1059 0. Inap, 1,9 in T3b; no Post IW ============================== VAR V961466 NUMERIC T3d IF R THINKS OF SELF AS CLOSE TO 2 OR MORE POLITICAL PARTIES BUT 'A LITTLE CLOSER' TO ONE PARTY / IF R DOESN'T THINK OF SELF AS CLOSE TO A POLITICAL PARTY BUT 'A LITTLE CLOSER' TO ONE PARTY: Which party is that? ----------------------------------------------------------- 199 1. Democratic Party 105 3. Republican Party 15 5. Other party (specify) 8. DK 1 9. NA 1394 0. Inap, 9 in T3b; 5,8,9 in T3c; no Post IW ============================== VAR V961467 NUMERIC T3e IF R THINKS OF SELF AS CLOSE TO 2 OR MORE POLITICAL PARTIES BUT 'A LITTLE CLOSER' TO ONE PARTY / IF R DOESN'T THINK OF SELF AS CLOSE TO A POLITICAL PARTY BUT 'A LITTLE CLOSER' TO ONE PARTY: Do you feel VERY CLOSE to this party, SOMEWHAT CLOSE, or NOT VERY CLOSE? ----------------------------------------------------------- 257 1. Very close 719 3. Somewhat close 212 5. Not very close 8. DK 9. NA 525 0. Inap, 1,9 in T3b; 5,8,9 in T3c; 8,9 in T3d; no Post IW ============================== VAR V961468 NUMERIC T4 Looking at page 16 in the booklet: Some people say that political parties in the United States care what ordinary people think. Others say that political parties in the United States don't care what ordinary people think. Using the scale in the booklet, where 1 means that political parties care about what ordinary people think, and 5 means that they don't care what ordinary people think, where would you place yourself? ----------------------------------------------------------- 149 1. Political parties care about what ordinary people think 421 2. 570 3. 269 4. 111 5. They don't care what ordinary people think 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961469 NUMERIC T5 Looking at page 17 in the booklet: Some people say that political parties are neccessary to make our political system work in the United States. Others think that political parties are not needed in the United States. Using the scale in the booklet, (where 1 means that political parties are necessary to make our political system work, and 5 means that political parties are not needed in the United States), where would you place yourself? ----------------------------------------------------------- 372 1. Political parties are necessary to make our political system work 476 2. 394 3. 185 4. 86 5. Political parties are not needed in the United States 8. DK 9 9. NA 180 0. Inap, no Post IW ============================== VAR V961470 NUMERIC T7 Looking at page 18 in the booklet. I'd like to know what you think about each of our political parties. After I read the name of a political party, please rate it on a scale from 0 to 10, where 0 means you strongly dislike that party and 10 means that you strongly like that party. If I come to a party you haven't heard of or you feel you do not know enough about, just say so. ----------------------------------------------------------- T7a The first party is: The Democratic party. ----------------------------------------------------------- See T7 for full text. 38 0. Strongly dislike 48 1. 84 2. 146 3. 149 4. 289 5. 118 6. 197 7. 8. 78 9. 166 10. Strongly like 98. DK 188 99. NA; Inap, no post IW ============================== VAR V961471 NUMERIC T7b (Still looking at page 18 in the booklet) The Republican Party ----------------------------------------------------------- See T7 for full text. 49 0. Strongly dislike 59 1. 112 2. 142 3. 171 4. 343 5. 181 6. 155 7. 168 8. 93 9. 39 10. Strongly like 98. DK 188 99. NA; Inap, no post IW ============================== VAR V961472 NUMERIC T7c (Still looking at page 18 in the booklet) The Reform Party ----------------------------------------------------------- See T7 for full text. 101 0. Strongly dislike 56 1. 112 2. 136 3. 158 4. 398 5. 86 6. 45 7. 27 8. 12 9. 6 10. Strongly like 98. DK 199 99. NA; Inap, no post IW ============================== VAR V961473 NUMERIC T8a (Still looking at page 18 in the booklet) And now, using the same scale, I'd like to ask you how much you like or dislike some political leaders. Again, if I come to a leader you haven't heard of or you feel you do not know enough about, just say so. The first political leader is Bill Clinton. ----------------------------------------------------------- See T7 for full text. 103 0. Strongly dislike 81 1. 110 2. 100 3. 89 4. 148 5. 162 6. 193 7. 237 8. 119 9. 177 10. Strongly like 98. DK 189 99. NA; Inap, no post IW ============================== VAR V961474 NUMERIC T8b (Still looking at page 18 in the booklet) Bob Dole ----------------------------------------------------------- See T7 for full text. 57 0. Strongly dislike 57 1. 95 2. 128 3. 196 4. 301 5. 212 6. 177 7. 163 8. 83 9. 38 10. Strongly like 98. DK 190 99. NA; Inap, no post IW ============================== VAR V961475 NUMERIC T8c (Still looking at page 18 in the booklet) Ross Perot ----------------------------------------------------------- See T7 for full text. 131 0. Strongly dislike 125 1. 137 2. 187 3. 184 4. 337 5. 159 6. 93 7. 65 8. 27 9. 21 10. Strongly like 98. DK 193 99. NA; Inap, no post IW ============================== VAR V961476 NUMERIC T9 What do you think about the state of the economy these days in the United States? Would you say that the state of the economy is VERY GOOD, GOOD, NEITHER GOOD NOR BAD, BAD, or VERY BAD? ----------------------------------------------------------- 98 1. Very good 641 2. Good 551 3. Neither bad nor good 179 4. Bad 48 5. Very bad 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961477 NUMERIC T10 Would you say that over the past twelve months, the state of the economy in the United States has GOTTEN BETTER, STAYED ABOUT THE SAME, or GOTTEN WORSE? ----------------------------------------------------------- 403 1. Gotten better 947 3. Stayed about the same 168 5. Gotten worse 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961478 NUMERIC T10a/T10b IF R THINKS U.S. ECONOMY HAS GOTTEN BETTER IN PAST 12 MONTHS / IF R THINKS U.S. ECONOMY HAS GOTTEN WORSE IN PAST 12 MONTHS: T10a. Would you say MUCH better or SOMEWHAT better? T10b. Would you say MUCH worse or SOMEWHAT worse? ----------------------------------------------------------- 53 1. Gotten much better 350 2. Gotten somewhat better 947 3. Same (3 in T10) 129 4. Gotten somewhat worse 39 5. Gotten much worse 8. DK 9. NA 196 0. Inap, 8,9 in T10; no Post IW ============================== VAR V961479 NUMERIC T11 Looking at page 19 of the booklet, some people say that members of Congress know what ordinary people think. Others say that members of Congress don't know much about what ordinary people think. Using the scale in the booklet, (where 1 means that the members of Congress know what ordinary people think, and 5 means that the members of Congress don't know much about what ordinary people think), where would you place yourself? ----------------------------------------------------------- 62 1. Members of Congress know what ordinary people think 296 2. 529 3. 439 4. 190 5. Members of Congress don't know much about what ordinary people think 8. DK 10 9. NA 180 0. Inap, no Post IW ============================== VAR V961480 NUMERIC T12 During the past twelve months, have you had any contact with a member of Congress in any way? ----------------------------------------------------------- 212 1. Yes 1315 5. No 8. DK 6 9. NA 180 0. Inap, no Post IW ============================== VAR V961481 NUMERIC T13 Looking at page 20 of the booklet, some people say it makes a difference who is in power. Others say that it doesn't make a difference who is in power. Using the scale in the booklet, (where 1 means that it makes a difference who is in power and 5 means that it doesn't make a difference who is in power), where would you place yourself? ----------------------------------------------------------- 429 1. It makes a difference who is in power 561 2. 282 3. 162 4. 88 5. It doesn't make a difference who is in power 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961482 NUMERIC T14 Looking at page 21 of the booklet, some people say that no matter who people vote for, it won't make any difference to what happens. Others say that who people vote for can make a difference to what happens. Using the scale in the booklet, (where 1 means that voting won't make a difference to what happens and 5 means that voting can make a difference), where would you place yourself? ----------------------------------------------------------- 69 1. Voting won't make a difference to what happens 87 2. 174 3. 522 4. 672 5. Voting can make a difference 8. DK 8 9. NA 180 0. Inap, no Post IW ============================== VAR V961483 NUMERIC T15 Looking at page 22 of the booklet, when people are asked to express an opinion, do you believe most people in the United States usually say what they think about politics or do you believe most people usually hide what they really think about politics? Using the scale in the booklet, (where 1 means that most people in the United States usually say what they think about politics, and 5 means that most people usually hide what they really think), where would you place yourself? ----------------------------------------------------------- 374 1. Most people in the United States usually say what they think about politics 535 2. 317 3. 199 4. 92 5. Most people in the United States usually hide what they think about politics 8. DK 7 9. NA 180 0. Inap, no Post IW ============================== VAR V961484 NUMERIC T16 Looking at page 23 of the booklet, In politics people sometimes talk of left and right. Where would you place yourself on a scale from 0 to 10 where 0 means the left and 10 means the right? ----------------------------------------------------------- 16 0. Left 17 1. 63 2. 82 3. 111 4. 532 5. 168 6. 157 7. 133 8. 51 9. 78 10. Right 98. DK 195 99. NA; Inap, no Post IW ============================== VAR V961485 NUMERIC Rand.B1a1 Position of Democratic House candidate and Republican House candidate in Thermometers ----------------------------------------------------------- House candidate thermometers were always administered as the 4th and 5th thermometers, but the order in which they were administered was randomized. 1. Democratic House candidate first, Republican House candidate second 2. Republican House candidate first, Democratic House candidate second 9. NA; Inap, no Post IW 0. Inap, no Democratic House candidate; no Republican House candidate; Washington DC ============================== VAR V961486 NUMERIC Rand.B1d Position of The Supreme Court in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961487 NUMERIC Rand.B1e Position of Congress in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961488 NUMERIC Rand.B1f Position of The Military in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961489 NUMERIC Rand.B1g Position of The Federal Government in Washington in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961490 NUMERIC Rand.B1h Position of Blacks in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961491 NUMERIC Rand.B1j Position of Whites in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961492 NUMERIC Rand.B1k Position of Conservatives in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961493 NUMERIC Rand.B1L Position of Liberals in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961494 NUMERIC Rand.B1m Position of Labor Unions in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961495 NUMERIC Rand.B1n Position of Big Business in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961496 NUMERIC Rand.B1p Position of Poor People in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961497 NUMERIC Rand.B1r Position of People on Welfare in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961498 NUMERIC Rand.B1r Position of Hispanics in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961499 NUMERIC Rand.B1s Position of Christian Fundamentalists in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961500 NUMERIC Rand.B1t Position of The Women's movement in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961501 NUMERIC Rand.B1u Position of Older people in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961502 NUMERIC Rand.B1v Position of Environmentalists in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961503 NUMERIC Rand.B1w Position of Gay men and Lesbians, homosexuals in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961504 NUMERIC Rand.B1x Position of The Christian Coalition in Thermometers ----------------------------------------------------------- The Presidential candidates were always administered as the first 3 thermometers, the House candidates as the 4th and 5th thermometers, and the retiring House representative as the 6th thermometer. The remaining thermometers for groups and institutions (e.g. Congress, the Supreme Court) were administered in random order as the 7th-25th thermometers. Codes 7-25 and: 99. NA; Inap, no post IW ============================== VAR V961505 NUMERIC Rand.C1 Order of House Democratic and Republican candidates in administration of 'Likes/Dislikes' questions ----------------------------------------------------------- The 'Likes' and 'Dislikes' questions were both administered for the first candidate before being administered for the second candidate ('Likes' always precede 'Dislikes') . This variable indicates whether the 'Likes/Dislikes' set of questions was asked first for the Democratic candidate or the Republican candidate. 1. Democratic House candidate first, Republican House candidate second 2. Republican House candidate first, Democratic House candidate second 9. NA; Inap, no post IW 0. Inap, no Democratic House candidate; no Republican House candidate; Washington DC ============================== VAR V961506 NUMERIC Rand.E1a Order of Clinton and Dole in administration of Traits questions ----------------------------------------------------------- Two 'traits' questions were asked each for Clinton and Dole, and both traits were asked for the first candidate before being asked about the second candidate. The order of the candidates was randomized but not the order of the traits. (One question was asked about Perot, who always came third). 1. Clinton first, Dole second 2. Dole first, Clinton second 9. NA; Inap, no post IW ============================== VAR V961507 NUMERIC Rand.J4b Order of Clinton, Dole, Perot in administration of Aid to Blacks 7-point scale ----------------------------------------------------------- Self-placement preceded the placements of the presidential candidates. This variables describes the order of the placements for Clinton, Dole and Perot after self- placement. 1. Clinton, Dole, Perot 2. Dole, Perot Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA; Inap, no post IW ============================== VAR V961508 NUMERIC Rand.N11b Order of Clinton, Dole in administration of Liberal- Conservative 7-point scale ----------------------------------------------------------- Self-placement preceded the placements of the presidential candidates. This variables describes the order of the placements for Clinton and Dole after self-placement (placement was not asked for Perot). 1. Clinton, Dole 2. Dole, Clinton 9. NA; Inap, no post IW ============================== VAR V961509 NUMERIC Rand.N11e Order of Democratic and Republican House candidates in administration of Liberal-Conservative 7-point scale ----------------------------------------------------------- After R self-placement, the Liberal-Conservative placement questions were asked about Clinton and Dole, and the House candidate placements were always asked afterwards (third or fourth placements after R's self-placement). This variable describes whether the Democratic or Republican candidate was administered first after the two presidential candidates. 1. Democratic House candidate first, Republican House candidate second 2. Republican House candidate first, Democratic House candidate second 9. NA; Inap, no opinion in N13; no post IW 0. Inap, no Democratic House candidate; no Republican House candidate; Washington DC ============================== VAR V961510 NUMERIC Rand.N14a Order of Clinton, Dole, Perot in administration of Tax Cut scale ----------------------------------------------------------- Self-placement preceded the placements of the presidential candidates. This variables describes the order of the placements for Clinton, Dole and Perot after self- placement. 1. Clinton, Dole, Perot 2. Dole, Perot Clinton 3. Perot, Clinton, Dole 4. Clinton, Perot, Dole 5. Dole, Clinton, Perot 6. Perot, Dole, Clinton 9. NA; Inap, no post IW ============================== VAR V961511 NUMERIC Rand.P2b Order of Blacks and Hispanics in administration of 'Hardworking' scale ----------------------------------------------------------- The 'Hardworking' scale was always asked about Whites first. This variable describes whether the same question was afterwards administered first for Blacks or first for Hispanics. 1. Blacks, Hispanics 2. Hispanics, Blacks 9. NA; Inap, no post IW ============================== VAR V961512 NUMERIC Rand.P3b Order of Blacks and Hispanics in administration of 'Intelligent' scale ----------------------------------------------------------- The 'Intelligent' scale was always asked about Whites first. This variable describes whether the same question was afterwards administered first for Blacks or first for Hispanics. 1. Blacks, Hispanics 2. Hispanics, Blacks 9. NA; Inap, no post IW ============================== VAR V961513 NUMERIC Rand.P4b Order of Blacks and Hispanics in administration of 'Trustworthy' scale ----------------------------------------------------------- The 'Trustworthy' scale was always asked about Whites first. This variable describes whether the same question was afterwards administered first for Blacks or first for Hispanics. 1. Blacks, Hispanics 2. Hispanics, Blacks 9. NA; Inap, no post IW ============================== VAR V967000A NUMERIC Variable is two-digit House district number ============================== VAR V967000B NUMERIC Variable is two-digit FIPS state code ============================== VAR V967000C NUMERIC Variable is two-digit ICPSR state code ============================== VAR V967000D NUMERIC Variable is five-digit ICPSR state and county code ============================== VAR V967000E CHARACTER * This Variable is alphanumeric Variable is MISSING VALUE state abreviation ============================== VAR V967001 NUMERIC MISSING VALUES: -9 Variable is number of Democrats in lower house of statelegislature Source: Politics in America (1996) ============================== VAR V967002 NUMERIC MISSING VALUES: -9 Variable is number of Republicans in lower house of statelegislature Source: Politics in America (1996) ============================== VAR V967003 NUMERIC MISSING VALUES: -9 Variable is number of Democrats in upper house of statelegislature Source: Politics in America (1996) ============================== VAR V967004 NUMERIC MISSING VALUES: -9 Variable is number of Republicans in upper house of statelegislature Source: Politics in America (1996) ============================== VAR V967005 NUMERIC MISSING VALUES: 9 Variable is party of state governor, pre-election 1996 1 Democrat 2 Republican Source: Politics in America (1996) ============================== VAR V967006 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote in state for Clinton in 1992presidential election Source: County and City Data Book 1994 ============================== VAR V967007 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote in state for Bush in 1992presidential election Source: County and City Data Book 1994 ============================== VAR V967008 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote in state for Perot in 1992presidential election Source: County and City Data Book 1994 ============================== VAR V967009 NUMERIC MISSING VALUES: -9 Variable is number of U.S. House districts in state Source: Congressional Quarterly ============================== VAR V967010 NUMERIC MISSING VALUES: -9 Variable is number of Democratic members of U.S. House instate delegation Source: Congressional Quarterly ============================== VAR V967011 NUMERIC MISSING VALUES: -9 Variable is number of Republican members of U.S. House instate delegation Source: Congressional Quarterly ============================== VAR V967012 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of Democrats in state ============================== VAR V967013 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of Republicans in state ============================== VAR V967014 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of liberals in state ============================== VAR V967015 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has one decimal place Variable is estimate of percentage of conservatives in state ============================== VAR V967016 CHARACTER * This Variable is alphanumeric Variable is last name of U.S. Senator designated as Senator#1 for the purposes of Senate incumbent variables ============================== VAR V967017 NUMERIC MISSING VALUES: 9 Variable is party of Senator designated as Senator #1 1 Democrat 2 Republican Source: Almanac of American Politics 1996 ============================== VAR V967018 NUMERIC MISSING VALUES: 9 Variable is indicator of whether or not Senator #1 wasseeking reelection in 1996 0 No Senate election in state 1 Senate election in state, but Senator #1 was not up for or was not seeking reelection 2 Senator #1 was seeking reelection Source: Congressional Quarterly Weekly Report ============================== VAR V967019 CHARACTER * This Variable is alphanumeric Variable is last name of U.S. Senator designated as Senator#2 for the purposes of Senate incumbent variables ============================== VAR V967020 NUMERIC MISSING VALUES: 9 Variable is party of Senator designated as Senator #2 1 Democrat 2 Republican Source: Almanac of American Politics 1996 ============================== VAR V967021 NUMERIC MISSING VALUES: 9 Variable is indicator of whether or not Senator #2 wasseeking reelection in 1996 0 No Senate election in state 1 Senate election in state, but Senator #2 was not up or wasnot seeking reelection 2 Senator #2 was seeking reelection Source: Congressional Quarterly Weekly Report ============================== VAR V967022 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967023 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967024 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage of members that Senator was more liberal than on foreign policy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967025 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967026 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967027 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967028 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1995 How They Voted" ============================== VAR V967029 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Unity score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR V967030 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR V967031 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR V967032 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR V967033 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR V967034 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR V967035 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR V967036 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR V967037 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR V967038 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, March 1996 ============================== VAR V967039 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689. ============================== VAR V967040 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967041 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on foreign policy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967042 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967043 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967044 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967045 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1996 How They Voted" ============================== VAR V967046 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Unity score Source: Congressional Quarterly Weekly Report, ============================== VAR V967047 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Oppositionscore Source: Congressional Quarterly Weekly Report, ============================== VAR V967048 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, ============================== VAR V967049 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR V967050 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR V967051 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR V967052 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR V967053 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR V967054 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR V967055 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, November 1996 ============================== VAR V967056 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967057 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967058 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on foreign policy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967059 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967060 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967061 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 186-187 ============================== VAR V967062 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1995 How They Voted" ============================== VAR V967063 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Unity score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR V967064 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR V967065 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 248 ============================== VAR V967066 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR V967067 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR V967068 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 242 ============================== VAR V967069 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR V967070 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR V967071 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report 27 January1996, p. 254 ============================== VAR V967072 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, March 1996 ============================== VAR V967073 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on economic issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689. ============================== VAR V967074 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on social issues in1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967075 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more liberal than on foreign policy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967076 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on economicissues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967077 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on social issuesin 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967078 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that Senator was more conservative than on foreignpolicy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2688-2689 ============================== VAR V967079 NUMERIC MISSING VALUES: -9 Variable is Senator's U.S. Chamber of Commerce support score Source: U.S. Chamber of Commerce's "1996 How They Voted" ============================== VAR V967080 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Unity score Source: Congressional Quarterly Weekly Report, ============================== VAR V967081 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Oppositionscore Source: Congressional Quarterly Weekly Report, ============================== VAR V967082 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, ============================== VAR V967083 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR V967084 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR V967085 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedPresidential Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3460 ============================== VAR V967086 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionSupport score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR V967087 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's Conservative CoalitionOpposition score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR V967088 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's adjusted ConservativeCoalition Support score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3470 ============================== VAR V967089 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, November 1996 ============================== VAR V967090 NUMERIC MISSING VALUES: -9 Variable is the pre-election "CQ Call" concerning theexpected outcome of the Senate race 0 Probably secure Democrat 1 Potentially vulnerable Democrat 2 Vulnerable Democrat 3 Highly vulnerable Democrat 4 Highly vulnerable Republican 5 Vulnerable Republican 6 Potentially vulnerable Republican 7 Probably secure Republican Source: Congressional Quarterly Weekly Report, 27 April1996, p. 1103-1104 ============================== VAR V967091 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byDemocratic Senate candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR V967092 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byRepublican Senate candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR V967093 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byDemocratic Senate candidate in Roberts-Thompson Kansas Senaterace 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR V967094 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byRepublican Senate candidate in Roberts-Thompson Kansas Senaterace 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR V967095 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Senatecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967096 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Senatecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967097 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Senatecandidates in race in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967098 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Senatecandidate in 1996, Roberts-Thompson Kansas Senate race only Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967099 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Senatecandidate in 1996, Roberts-Thompson Kansas Senate race only Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967100 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Senatecandidates in 1996, Roberts-Thompson Kansas Senate race only Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967101 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Democratic Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967102 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Democratic Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967103 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Republican Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967104 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Republican Senate candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967105 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Democratic Senate candidate, Roberts-Thompson KansasSenate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967106 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Democratic Senate candidate, Roberts-ThompsonKansas Senate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967107 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Republican Senate candidate, Roberts-Thompson KansasSenate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967108 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Republican Senate candidate, Roberts-Thompson Kansas Senate race only Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967109 NUMERIC MISSING VALUES: 9 Variable is party of incumbent in U.S. House ofRepresentatives 1 Democrat 2 Republican 3 Independent ============================== VAR V967110 NUMERIC MISSING VALUES: -9 Variable is last two digits of year in which incumbent wasfirst elected to U.S. House of Representatives Source: Almanac of American Politics 1996 ============================== VAR V967111 NUMERIC MISSING VALUES: -9 Variable is House incumbent's rank in party seniority Source: Congressional Quarterly Weekly Report, 18 February1995, p. 543-549 ============================== VAR V967112 NUMERIC MISSING VALUES: 9 Variable is House incumbent's gender 1 Male 2 Female Source: Almanac of American Politics 1996 ============================== VAR V967113 NUMERIC MISSING VALUES: 9 Variable is House incumbent's race 1 White 2 Black 4 Asian or Pacific Islander Source: Almanac of American Politics 1996 ============================== VAR V967114 NUMERIC MISSING VALUES: -9 Source: Almanac of American Politics 1996 ============================== VAR V967115 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on economic issuesin 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR V967116 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on social issues in1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR V967117 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on foreign policy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR V967118 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on economicissues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR V967119 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on socialissues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR V967120 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on foreignpolicy-national security issues in 1995 Source: National Journal, 27 January 1996, p. 195-201 ============================== VAR V967121 NUMERIC MISSING VALUES: -9 Variable is incumbent's U.S. Chamber of Commerce supportscore Source: U.S. Chamber of Commerce's "1995 How They Voted" ============================== VAR V967122 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Unity score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 246-247 ============================== VAR V967123 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 27 January1996, p. 246-247 ============================== VAR V967124 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 246-247 ============================== VAR V967125 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialSupport Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 240-241 ============================== VAR V967126 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 PresidentialOpposition Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 240-241 ============================== VAR V967127 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedPresidential Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 240-241 ============================== VAR V967128 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 ConservativeCoalition Support Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 252-253 ============================== VAR V967129 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 ConservativeCoalition Oppostion Score Source: Congressional Quarterly Weekly Report, 27 January1996, p. 252-253 ============================== VAR V967130 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1995 adjustedConservative Coalition Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 27 January1996, p. 252-253 ============================== VAR V967131 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, March 1996 ============================== VAR V967132 NUMERIC MISSING VALUES: -9 Variable is League of Conservation Voters support score Source: League of Conservation Voters Web site(www.lcv.org/lcv95) ============================== VAR V967133 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on economic issuesin 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR V967134 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on social issues in1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR V967135 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more liberal than on foreign policy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR V967136 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on economicissues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR V967137 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on socialissues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR V967138 NUMERIC MISSING VALUES: -9 Variable is National Journal score indicating percentage ofmembers that incumbent was more conservative than on foreignpolicy-national security issues in 1996 Source: National Journal, 14 December 1996, p. 2690-2699 ============================== VAR V967139 NUMERIC MISSING VALUES: -9 Variable is incumbent's U.S. Chamber of Commerce supportscore Source: U.S. Chamber of Commerce's "1996 How They Voted" ============================== VAR V967140 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Unity score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3464-3465 ============================== VAR V967141 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 Party Oppositionscore Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3464-3465 ============================== VAR V967142 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjusted PartyUnity score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3464-3465 ============================== VAR V967143 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialSupport Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3458-3459 ============================== VAR V967144 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 PresidentialOpposition Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3458-3459 ============================== VAR V967145 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedPresidential Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3458-3459 ============================== VAR V967146 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 ConservativeCoalition Support Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3468-3469 ============================== VAR V967147 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 ConservativeCoalition Oppostion Score Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3468-3469 ============================== VAR V967148 NUMERIC MISSING VALUES: -9 Variable is Congressional Quarterly's 1996 adjustedConservative Coalition Support Score (absences not counted) Source: Congressional Quarterly Weekly Report, 21 December1996, p. 3468-3469 ============================== VAR V967149 NUMERIC MISSING VALUES: -9 Variable is Americans for Democratic Action (ADA) supportscore Source: ADA World, November 1996 ============================== VAR V967150 NUMERIC MISSING VALUES: -9 Variable is League of Conservation Voters support score Source: League of Conservation Voters Web site (www.lcv.org/lc96) ============================== VAR V967151 NUMERIC MISSING VALUES: -9 Variable is incumbent's House committee assignment (#1 of upto three committee assignments listed) [See Committee Assignment Master List] Source: Almanac of American Politics 1996 ============================== VAR V967152 NUMERIC MISSING VALUES: -9 Variable is incumbent's rank on House committee #1 Source: Almanac of American Politics 1996 ============================== VAR V967153 NUMERIC MISSING VALUES: -9 Variable is incumbent's House committee assignment (#2 of upto three committee assignments listed) [See Committee Assignment Master List] Source: Almanac of American Politics 1996 ============================== VAR V967154 NUMERIC MISSING VALUES: -9 Variable is incumbent's rank on House committee #2 Source: Almanac of American Politics 1996 ============================== VAR V967155 NUMERIC MISSING VALUES: -9 Variable is incumbent's House committee assignment (#3 of upto three committee assignments listed) [See Committee Assignment Master List] Source: Almanac of American Politics 1996 ============================== VAR V967156 NUMERIC MISSING VALUES: -9 Variable is incumbent's rank on House committee #3 Source: Almanac of American Politics 1996 ============================== VAR V967157 NUMERIC MISSING VALUES: -9 Variable is the pre-election Congressional Quarterlyprediction concerning the expected outcome of the House race 0 Safe Democratic 1 Democrat favored 2 Leans Democratic 3 No clear favorite 4 Leans Republican 5 Republican favored 6 Safe Republican Source: Congressional Quarterly Weekly Report, 19 October1996, p. 2965-2969 ============================== VAR V967158 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byDemocratic House candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR V967159 NUMERIC MISSING VALUES: -9 Variable is indicator of previous political office held byRepublican House candidate 0 No prior political office listed 1 Incumbent U.S. House Representative 2 State representative, former or present 3 State senator, former or present 4 Mayor; city council; county commission; other local office 5 Party official; White House aide; congressional aide 6 Judge 7 Statewide office holder, former or present 8 Former U.S. Representative 9 Incumbent U.S. Senator 10 Former U.S. Senator 11 Former U.S. attorney or federal official Source: Congressional Quarterly Weekly Report, 26 October1996, p. 3089-3104 ============================== VAR V967160 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Housecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967161 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Housecandidate in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967162 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Housecandidates in race in 1996 election Source: Congressional Quarterly Weekly Report, 15 February1997, p. 447-455 ============================== VAR V967163 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Democratic House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967164 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Democratic House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967165 NUMERIC MISSING VALUES: -9 Variable is total campaign committee receipts in dollarsreported by Republican House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967166 NUMERIC MISSING VALUES: -9 Variable is total campaign committee disbursements indollars reported by Republican House candidate Source: Federal Elections Commission Web site(www.fec.gov/finance/ftpsum.htm) ============================== VAR V967167 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Democratic Housecandidate in 1994 election Source: Congressional Quarterly Almanac 1994 ============================== VAR V967168 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for Republican Housecandidate in 1994 election Source: Congressional Quarterly Almanac 1994 ============================== VAR V967169 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast for all Housecandidates in race in 1994 election Source: Congressional Quarterly Almanac 1994 ============================== VAR V967170 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast in House district forClinton in 1992 presidential election Source: Congressional Quarterly Almanac 1993 ============================== VAR V967171 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast in House district forBush in 1992 presidential election Source: Congressional Quarterly Almanac 1993 ============================== VAR V967172 NUMERIC MISSING VALUES: -9 Variable is total number of votes cast in House district forPerot in 1992 presidential election Source: Congressional Quarterly Almanac 1993 ============================== VAR V967173 NUMERIC MISSING VALUES: -9 Variable is estimate of number of Designated Market Area(DMA) households in House district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967174 NUMERIC DEC 2 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of average DMA cost per point, acrossall time slots, in House district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967175 NUMERIC DEC 2 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Early News inHouse district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967176 NUMERIC DEC 2 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Prime Accessin House district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967177 NUMERIC DEC 2 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Prime Time inHouse district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967178 NUMERIC DEC 2 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of DMA cost per point for Late News inHouse district [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967179 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote cast in county for Clinton in1992 election Source: County and City Data Book 1994 ============================== VAR V967180 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote cast in county for Bush in 1992election Source: County and City Data Book 1994 ============================== VAR V967181 NUMERIC DEC 1 MISSING VALUES: -9 * Variable has two decimal places Variable is percent of vote cast in county for Perot in 1992election Source: County and City Data Book 1994 ============================== VAR V967182 NUMERIC MISSING VALUES: -9 Variable is estimate of number of Designated Market Area(DMA) households for DMA in which county falls [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967183 NUMERIC DEC 2 MISSING VALUES: -9 * Variable has two decimal places Variable is estimate of average DMA cost per point, acrossall time slots [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967184 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Early News [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967185 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Prime Access [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967186 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Prime Time [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996 ============================== VAR V967187 NUMERIC MISSING VALUES: -9 Variable is estimate of DMA cost per point for Late News [See Note on Estimation of Media Market Variables.] Source: Broadcasting and Cable Yearbook 1996