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