THIS FILE IS: anes_2002prepost_var.txt (codebook variable documentation file) RELEASE VERSION: 20051116 (Nov 16, 2005) DEFAULT DIRECTORY: C:\ANES\anes_2002prepost\20051116\ ============================================================================= VERSION ANES Version Number ============================================================================= QUESTION: --------- Version of ANES 2002 Pre-Post Election Study NOTES: ------ This variable appears in the data as: ANES_2002prepost_VERSION:YYYY-mmm-DD where mmm is the standard 3-character month abbreviation (Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec). TYPE: ----- Character ============================================================================= V020001 ID.1. 2002 Pre Case ID ============================================================================= QUESTION: --------- Pre Case ID NOTES: ------ Cases 0001-1513 (4 gaps in numbering). TYPE: ----- Numeric Dec 0 ============================================================================= V020002 ID.2. 2000 Panel ID ============================================================================= QUESTION: --------- Panel 2000 ID MISSING CODES: -------------- INAP. 2002 Fresh cross-section respondent NOTES: ------ For Panel cases, this is the ID from the 2002 Study. TYPE: ----- Numeric Dec ============================================================================= V020101 Pre-Election Post-stratified weight ============================================================================= QUESTION: --------- Pre-election Post-stratified weight NOTES: ------ This is a 6-digit variable with a coded decimal point and 4 decimal places. 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. A post-stratification adjustment used the 2000 CPS March Supplement estimates as the standard. The cells were formed by crossing 6 age groups by 4 levels of education. The age groups were: 18-29, 30-39, 40-49, 50-59, 60-69, 70+. The education levels were: < high school graduation, high school graduate, some college, and 4 years of college or more. TYPE: ----- Numeric Dec 4 ============================================================================= V020102 Post-Election Post-stratified weight ============================================================================= QUESTION: --------- Post-election Post-stratified weight NOTES: ------ This is a 6-digit variable with a coded decimal point and 4 decimal places. See note WEIGHT.1; WEIGHT.2 values are constructed for the cases successfully reinterviewed in the Post. TYPE: ----- Numeric Dec 4 ============================================================================= V021001 STUDY.1. 2002 Panel or Fresh Cross Resp ============================================================================= QUESTION: --------- Panel/Fresh Cross VALID CODES: ------------ 1. Panel case 2. Fresh cross-section case TYPE: ----- Numeric Dec 0 1 1187 2 324 ============================================================================= V021002 STUDY.2. 2002 Pre Only or Pre and Post ============================================================================= QUESTION: --------- Pre-only or Pre-and-Post VALID CODES: ------------ 1. Pre interview only 2. Pre interview and Post interview TYPE: ----- Numeric Dec 0 1 165 2 1346 ============================================================================= V021100 HHLISTING.0. FRESH CROSS Selection Table ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household Selection Table VALID CODES: ------------ 1. Selection Table A1 2. Selection Table B1 3. Selection Table B2 4. Selection Table C 5. Selection Table D 6. Selection Table E1 7. Selection Table E2 8. Selection Table F MISSING CODES: -------------- 0. NA INAP. Panel case NOTES: ------ 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). A Selection Table was randomly assigned to all households in the Fresh Cross sample component. After a complete listing of the HH was taken, each eligible adult was assigned a "Number" based on the criteria of gender and age [beginning with the oldest male as number 1, males numbered by increments of 1 according to descending age; females numbered by descending age starting with the number one higher than that assigned to the youngest male]. The interviewer then used the Selection Table to determine the "Number" of the eligible adult to be interviewed. There were 8 different selection tables. #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 TYPE: ----- Numeric Dec . 1187 0 1 1 55 2 19 3 29 4 51 5 55 6 32 7 29 8 53 ============================================================================= V021101a HHLISTING.1a. 1st HH List Gend-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 1st HH member gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 0. NA INAP. Panel case NOTES: ------ This describes the first household member mentioned in the household listing of all adult household members. The household listing was provided by a household member ('informant'). The first name in the household listing corresponds to the informant. TYPE: ----- Numeric Dec . 1187 0 33 1 120 2 171 ============================================================================= V021101b HHLISTING.1b. 1st HH List Age-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 1st HH member age MISSING CODES: -------------- 00. NA INAP. Panel case NOTES: ------ This describes the first household member mentioned in the household listing (informant). Ages 18-90 and: TYPE: ----- Numeric Dec ============================================================================= V021101c HHLISTING.1c. 1st HH List Citiz-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 1st HH member citizen VALID CODES: ------------ 1. Yes, a citizen 5. No, not a citizen MISSING CODES: -------------- 0. NA INAP. Panel case NOTES: ------ This describes the first household member mentioned in the household listing (informant). TYPE: ----- Numeric Dec . 1187 0 2 1 320 5 2 ============================================================================= V021101d HHLISTING.1d. 1st HH List Pers#-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 1st HH member Person Number VALID CODES: ------------ 1. HH member is eligible person 1 2. HH member is eligible person 2 3. HH member is eligible person 3 4. HH member is eligible person 4 5. HH member is eligible person 5 6. HH member is eligible person 6 MISSING CODES: -------------- 0. NA INAP. Not an eligible household member; Panel case NOTES: ------ This describes the first household member mentioned in the household listing (informant). This represents the 'Person number' (if any) assigned to this household member, according to the numbering process used to number eligible household members while administering the Selection Table respondent selection process (see HHLISTING.0). TYPE: ----- Numeric Dec . 1191 0 2 1 189 2 117 3 10 4 2 ============================================================================= V021102a HHLISTING.2a. 2nd HH List Gend-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 2nd HH member gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 0. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the second household member mentioned in the household listing; the household listing is a listing, provided by a household member or informed contact, of all adult household members. TYPE: ----- Numeric Dec . 1279 0 8 1 118 2 106 ============================================================================= V021102b HHLISTING.2b. 2nd HH List Age-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 2nd HH member age MISSING CODES: -------------- 00. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the second household member mentioned in the household listing. Ages 18-90 and: TYPE: ----- Numeric Dec ============================================================================= V021102c HHLISTING.2c. 2nd HH List Citiz-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing -2nd HH member citizen VALID CODES: ------------ 1. Yes, a citizen 5. No, not a citizen MISSING CODES: -------------- 0. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the second household member mentioned in the household listing. TYPE: ----- Numeric Dec . 1279 1 228 5 4 ============================================================================= V021102d HHLISTING.2d. 2nd HH List Pers#-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 2nd HH member Person Number VALID CODES: ------------ 1. HH member is eligible person 1 2. HH member is eligible person 2 3. HH member is eligible person 3 4. HH member is eligible person 4 5. HH member is eligible person 5 6. HH member is eligible person 6 MISSING CODES: -------------- 0. NA INAP. Not an eligible household member; No further members of Household; Panel case NOTES: ------ This describes the second household member mentioned in the household listing. This represents the 'Person number' assigned to this household member, according to the numbering process used to number eligible household members while administering the Selection Table respondent selection process (see HHLISTING.0). TYPE: ----- Numeric Dec . 1283 1 120 2 95 3 11 4 2 ============================================================================= V021102e HHLISTING.2e. 2nd HH List Relat-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 2nd HH member Relationship to Informant VALID CODES: ------------ 01. Wife 02. Husband 03. Girlfriend; female fiance/partner 04. Boyfriend; male fiance/partner 11. Daughter/stepdaughter 12. Son/stepson 14. Daughter's boyfriend/fiance/husband 15. Son's girlfriend/fiance/wife 16. Foster son 21. Mother 22. Father 31. Grandmother 32. Grandfather 41. Sister 42. Brother 51. Niece 52. Nephew 61. Aunt 62. Uncle 70. Roommate/friend MISSING CODES: -------------- 00. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the second household member mentioned in the household listing. The description was provided by informant. TYPE: ----- Numeric Dec . 1279 0 7 1 85 2 96 3 3 4 8 11 5 12 2 21 5 22 6 31 2 41 1 42 1 70 11 ============================================================================= V021103a HHLISTING.3a. 3rd HH List Gend-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 3rd HH member gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 0. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the third household member mentioned in the household listing; the household listing is a listing, provided by a household member or informed contact, of all adult household members. TYPE: ----- Numeric Dec . 1474 1 22 2 15 ============================================================================= V021103b HHLISTING.3b. 3rd HH List Age-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 3rd HH member age MISSING CODES: -------------- 00. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the third household member mentioned in the household listing. Ages 18-90 and: TYPE: ----- Numeric Dec ============================================================================= V021103c HHLISTING.3c. 3rd HH List Citiz-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing -3rd HH member citizen VALID CODES: ------------ 1. Yes, a citizen 5. No, not a citizen MISSING CODES: -------------- 0. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the third household member mentioned in the household listing. TYPE: ----- Numeric Dec . 1474 1 35 5 2 ============================================================================= V021103d HHLISTING.3d. 3rd HH List Pers#-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 3rd HH member Person Number VALID CODES: ------------ 1. HH member is eligible person 1 2. HH member is eligible person 2 3. HH member is eligible person 3 4. HH member is eligible person 4 5. HH member is eligible person 5 6. HH member is eligible person 6 MISSING CODES: -------------- 0. NA INAP. Not an eligible household member; No further members of Household; Panel case NOTES: ------ This describes the third household member mentioned in the household listing. This represents the 'Person number' assigned to this household member, according to the numbering process used to number eligible household members while administering the Selection Table respondent selection process (see HHLISTING.0). TYPE: ----- Numeric Dec . 1476 1 10 2 12 3 12 4 1 ============================================================================= V021103e HHLISTING.3e. 3rd HH List Relat-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 3rd HH member Relationship to Informant VALID CODES: ------------ 01. Wife 02. Husband 03. Girlfriend; female fiance/partner 04. Boyfriend; male fiance/partner 11. Daughter/stepdaughter 12. Son/stepson 14. Daughter's boyfriend/fiance/husband 15. Son's girlfriend/fiance/wife 16. Foster son 21. Mother 22. Father 31. Grandmother 32. Grandfather 41. Sister 42. Brother 51. Niece 52. Nephew 61. Aunt 62. Uncle 70. Roommate/friend MISSING CODES: -------------- 00. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the third household member mentioned in the household listing. The description was provided by informant. TYPE: ----- Numeric Dec . 1474 2 3 4 1 11 7 14 1 16 1 21 5 22 3 42 1 52 1 70 14 ============================================================================= V021104a HHLISTING.4a. 4th HH List Gend-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 4th HH member gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 0. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the fourth household member mentioned in the household listing; the household listing is a listing, provided by a household member or informed contact, of all adult household members. TYPE: ----- Numeric Dec . 1501 1 4 2 6 ============================================================================= V021104b HHLISTING.4b. 4th HH List Age-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 4th HH member age MISSING CODES: -------------- 00. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the fourth household member mentioned in the household listing. Ages 18-90 and: TYPE: ----- Numeric Dec ============================================================================= V021104c HHLISTING.4c. 4th HH List Citiz-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing -4th HH member citizen VALID CODES: ------------ 1. Yes, a citizen 5. No, not a citizen MISSING CODES: -------------- 0. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the fourth household member mentioned in the household listing. TYPE: ----- Numeric Dec . 1501 1 10 ============================================================================= V021104d HHLISTING.4d. 4th HH List Pers#-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 4th HH member Person Number VALID CODES: ------------ 1. HH member is eligible person 1 2. HH member is eligible person 2 3. HH member is eligible person 3 4. HH member is eligible person 4 5. HH member is eligible person 5 6. HH member is eligible person 6 MISSING CODES: -------------- 0. NA INAP. Not an eligible household member; no further members of Household; Panel case NOTES: ------ This describes the fourth household member mentioned in the household listing. This represents the 'Person number' assigned to this household member, according to the numbering process used to number eligible household members while administering the Selection Table respondent selection process (see HHLISTING.0). TYPE: ----- Numeric Dec . 1501 1 1 2 3 3 1 4 5 ============================================================================= V021104e HHLISTING.4e. 4th HH List Relat-FRESH CR ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household listing - 4th HH member Relationship to Informant VALID CODES: ------------ 01. Wife 02. Husband 03. Girlfriend; female fiance/partner 04. Boyfriend; male fiance/partner 11. Daughter/stepdaughter 12. Son/stepson 14. Daughter's boyfriend/fiance/husband 15. Son's girlfriend/fiance/wife 16. Foster son 21. Mother 22. Father 31. Grandmother 32. Grandfather 41. Sister 42. Brother 51. Niece 52. Nephew 61. Aunt 62. Uncle 70. Roommate/friend MISSING CODES: -------------- 00. NA INAP. No further members of Household; Panel case NOTES: ------ This describes the fourth household member mentioned in the household listing. The description was provided by informant. TYPE: ----- Numeric Dec . 1501 11 1 12 2 21 1 32 1 41 2 51 1 70 2 ============================================================================= V021105 HHLISTING.5. Number Adults -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Number of adults in Household VALID CODES: ------------ 1. One adult in Household 2. Two adults in Household 3. Three adults in Household 4. Four adults in Household MISSING CODES: -------------- 0. NA INAP. Panel case TYPE: ----- Numeric Dec . 1187 0 1 1 90 2 196 3 27 4 10 ============================================================================= V021106 HHLISTING.6. Num Elig Adults-FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Number of eligible adults in Household VALID CODES: ------------ 1. One eligible adult in Household 2. Two eligible adults in Household 3. Three eligible adults in Household 4. Four eligible adults in Household MISSING CODES: -------------- 0. NA INAP. Panel case TYPE: ----- Numeric Dec . 1187 0 2 1 95 2 193 3 24 4 10 ============================================================================= V021107 HHLISTING.7. Number children-FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Number of children in Household VALID CODES: ------------ 00. No children in Household 01. One child in Household 02. Two children in Household 03. Three children in Household 04. Four children in Household 05. Five children in Household 06. Six children in Household MISSING CODES: -------------- 99. NA INAP. Panel case TYPE: ----- Numeric Dec . 1187 0 195 1 58 2 47 3 16 4 2 5 2 6 1 99 3 ============================================================================= V021107a HHLISTING.7. Age 1st child -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Age of 1st child MISSING CODES: -------------- 99. NA INAP. No children in household; panel case NOTES: ------ Age 1-17 and: 00. Under 1 year old TYPE: ----- Numeric Dec ============================================================================= V021107b HHLISTING.7b. Age 2nd child -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Age of 2nd child MISSING CODES: -------------- 99. NA INAP. No children in household; no additional children in household; panel case NOTES: ------ Age 1-17 and: 00. Under 1 year old TYPE: ----- Numeric Dec ============================================================================= V021107c HHLISTING.7c. Age 3rd child -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Age of 3rd child MISSING CODES: -------------- 99. NA INAP. No children in household; no additional children in household; panel case NOTES: ------ Age 1-17 and: 00. Under 1 year old TYPE: ----- Numeric Dec ============================================================================= V021107d HHLISTING.7d. Age 4th child -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Age of 4th child MISSING CODES: -------------- 99. NA INAP. No children in household; no additional children in household; panel case NOTES: ------ Age 1-17 and: 00. Under 1 year old TYPE: ----- Numeric Dec ============================================================================= V021107e HHLISTING.7e. Age 5th child -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Age of 5th child MISSING CODES: -------------- 99. NA INAP. No children in household; no additional children in household; panel case NOTES: ------ Age 1-17 and: 00. Under 1 year old TYPE: ----- Numeric Dec ============================================================================= V021107f HHLISTING.7f. Age 6th child -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Age of 6th child MISSING CODES: -------------- 99. NA INAP. No children in household; no additional children in household; panel case NOTES: ------ Age 1-17 and: 00. Under 1 year old TYPE: ----- Numeric Dec ============================================================================= V021108 HHLISTING.8. R Person No. -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- R Person Number VALID CODES: ------------ 1. R is person numbered 1 2. R is person numbered 2 3. R is person numbered 3 4. R is person numbered 4 MISSING CODES: -------------- 0. NA INAP. Panel case NOTES: ------ This is the person number assigned to R in the Household Listing for administration of the Selection Table. TYPE: ----- Numeric Dec . 1187 0 2 1 195 2 112 3 11 4 4 ============================================================================= V021109 HHLISTING.9. HH Composition -FRESH CROSS ============================================================================= IF FRESH-CROSS CASE: QUESTION: --------- Household composition VALID CODES: ------------ 10. 1 adult male HHR 11. 1 adult male HHR plus 1 other non-relative 12. 1 adult male HHR plus 2 or more non-relatives 20. 1 adult female HHR 21. 1 adult female HHR plus 1 other non-relative 22. 1 adult female HHR plus 2 or more non-relatives 30. 1 married couple: no children or all children living at home are under 18 40. 1 married couple plus 1 other relative 50. 1 married couple plus 2 or more other relatives 51. 1 married couple plus 1 other non-relative 52. 1 married couple plus 2 or more non-relatives 55. 1 married couple plus relatives and non-relatives 60. 1 male HHR plus 1 other relative 65. 1 male HHR plus relatives and nonrelatives 70. 1 male HHR plus 2 or more other relatives 80. 1 female HHR plus 1 other relative 85. 1 female HHR plus relatives and non-relatives 90. 1 female HHR plus 2 or more other relatives MISSING CODES: -------------- 00. NA INAP. Panel case NOTES: ------ The HH composition code is derived from information provided in the household listing. "Adults" are 18 years of age or older; all individuals included in the HH composition codes below refer to adults. TYPE: ----- Numeric Dec . 1187 0 40 10 30 11 2 12 2 20 52 21 4 22 2 30 153 40 14 50 6 51 9 55 1 60 1 80 8 ============================================================================= V021201 Sample.1. FIPS State Code ============================================================================= QUESTION: --------- FIPS State Code VALID CODES: ------------ 01. Alabama 02. Alaska 04. Arizona 05. Arkansas 06. California 08. Colorado 09. Connecticut 10. Delaware 11. Washington DC 12. Florida 13. Georgia 15. Hawaii 16. Idaho 17. Illinois 18. Indiana 19. Iowa 20. Kansas 21. Kentucky 22. Louisiana 23. Maine 24. Maryland 25. Massachusetts 26. Michigan 27. Minnesota 28. Mississippi 29. Missouri 30. Montana 31. Nebraska 32. Nevada 33. New Hampshire 34. New Jersey 35. New Mexico 36. New York 37. North Carolina 38. North Dakota 39. Ohio 40. Oklahoma 41. Oregon 42. Pennsylvania 44. Rhode Island 45. South Carolina 46. South Dakota 47. Tennessee 48. Texas 49. Utah 50. Vermont 51. Virginia 53. Washington 54. West Virginia 55. Wisconsin 56. Wyoming MISSING CODES: -------------- 99. NA INAP. No Post-election Interview NOTES: ------ This represents the state identified for the Post instrument preload. TYPE: ----- Numeric Dec ============================================================================= V021201a Sample.1a. ICPSR State Code ============================================================================= QUESTION: --------- ICPSR State Code VALID CODES: ------------ 01. Connecticut 02. Maine 03. Massachusetts 04. New Hampshire 05. Rhode Island 06. Vermont 11. Delaware 12. New Jersey 13. New York 14. Pennsylvania 21. Illinois 22. Indiana 23. Michigan 24. Ohio 25. Wisconsin 31. Iowa 32. Kansas 33. Minnesota 34. Missouri 35. Nebraska 36. North Dakota 37. South Dakota 40. Virginia 41. Alabama 42. Arkansas 43. Florida 44. Georgia 45. Louisiana 46. Mississippi 47. North Carolina 48. South Carolina 49. Texas 51. Kentucky 52. Maryland 53. Oklahoma 54. Tennessee 55. Washington DC 56. West Virginia 61. Arizona 62. Colorado 63. Idaho 64. Montana 65. Nevada 66. New Mexico 67. Utah 68. Wyoming 71. California 72. Oregon 73. Washington MISSING CODES: -------------- 99. NA INAP. No 2002 Post interview NOTES: ------ This represents the state identified for the Post instrument preload. TYPE: ----- Numeric Dec ============================================================================= V021201b Sample.1b. State Abbreviation ============================================================================= QUESTION: --------- State abbreviation (alpha) MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This represents the state identified for the Post instrument preload. TYPE: ----- Character ============================================================================= V021202 Sample.2. Congressional District Number ============================================================================= QUESTION: --------- Congressional District Number VALID CODES: ------------ Codes 1-52 and: 77. Washington DC MISSING CODES: -------------- 99. Correct district not assigned (see Summary.1) INAP. No 2002 Post interview NOTES: ------ This represents the congressional district identified for the Post instrument preload. TYPE: ----- Numeric Dec ============================================================================= V021202a Sample.2a. FIPS State and District ============================================================================= QUESTION: --------- FIPS State code and Congressional District Number MISSING CODES: -------------- 9999. Correct district not assigned (see Summary.1) INAP. No 2002 Post interview NOTES: ------ This represents the state and district identified for the Post instrument preload. The first 2 digits are FIPS state code; last 2 digits are Congressional district number. 1100=Washington DC TYPE: ----- Numeric Dec ============================================================================= V021202b Sample.2b. ICPSR State and District ============================================================================= QUESTION: --------- ICPSR State code and Congressional District Number MISSING CODES: -------------- 9999. Correct district not assigned (see Summary.1) INAP. No 2002 Post interview NOTES: ------ This represents the state and district identified for the Post instrument preload. The first 2 digits are ICPSR state code; last 2 digits are Congressional district number. 5500=Washington DC TYPE: ----- Numeric Dec ============================================================================= V021202c Sample.2c. State Abbrev and District ============================================================================= QUESTION: --------- State Abbreviation and Congressional District Number (alpha) MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This represents the state and district identified for the Post instrument preload. "DC00"=Washington DC. "" corresponds to 1 in Summary.1 TYPE: ----- Character ============================================================================= V021203 Census region ============================================================================= QUESTION: --------- Census region VALID CODES: ------------ 1. Northeast (CT, ME, MA, NH, NJ, NY, PA, RI, VT) 2. North Central (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI) 3. South (AL, AR, DE, DC, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV) 4. West (AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY) NOTES: ------ Built from Sample.1. TYPE: ----- Numeric Dec 1 263 2 407 3 537 4 304 ============================================================================= V021204 2000 Census Urban/Rural Classification ============================================================================= QUESTION: --------- 2000 Census Urban/Rural Classification VALID CODES: ------------ 1. Urban 2. Rural MISSING CODES: -------------- 0. NA NOTES: ------ The Pre production address was used for assigning geocodes. TYPE: ----- Numeric Dec 0 76 1 1137 2 298 ============================================================================= V021205 2000 Census FIPS County code ============================================================================= QUESTION: --------- 2000 Census FIPS County code (state and county) MISSING CODES: -------------- 00000. NA NOTES: ------ The Pre production address was used for assigning geocodes. This variable has been blanked to preserve respondent confidentiality. TYPE: ----- Numeric Dec ============================================================================= V021206 2000 Census Place code ============================================================================= QUESTION: --------- 2000 Census Place code MISSING CODES: -------------- 00000. NA INAP. No defined Census Place NOTES: ------ The Pre production address was used for assigning geocodes. This variable has been blanked to preserve respondent confidentiality. TYPE: ----- Numeric Dec ============================================================================= V021207 2000 Census MSA code ============================================================================= QUESTION: --------- 2000 Census MSA code MISSING CODES: -------------- 0000. NA INAP. Location not in MSA NOTES: ------ The Pre production address was used for assigning geocodes. This variable has been blanked to preserve respondent confidentiality. TYPE: ----- Numeric Dec ============================================================================= V021208 2000 Census Tract ============================================================================= QUESTION: --------- 2000 Census Tract MISSING CODES: -------------- 0000.00 NA NOTES: ------ The Pre production address was used for assigning geocodes. This variable has been blanked to preserve respondent confidentiality. TYPE: ----- Numeric Dec 2 ============================================================================= V022000 PreAdmin.0. Form of Pre interview ============================================================================= QUESTION: --------- Form of 2002 Pre Interview VALID CODES: ------------ 01. K1 spending - L2OPEN - P1RACE 02. K1 spending - L2OPEN - P2GENDER 03. K1 spending - L2CLOSED - P1RACE 04. K1 spending - L2CLOSED - P2GENDER 06. K2 spending - L2OPEN - P1RACE 06. K2 spending - L2OPEN - P2GENDER 07. K2 spending - L2CLOSED - P1RACE 08. K2 spending - L2CLOSED - P2GENDER MISSING CODES: -------------- 00. NA NOTES: ------ Aside from various randomly assigned wording and placement/order options, the following content options were randomly assigned to 1/2 samples in the Pre: 1- either K1 series or K2 series of Federal budget spending items (increase/decrease) 2- L2 general income inequality as openend (L2a/L2b)or as closed series (L2c/L2d) [each has wording variants] 3- Income inequality questions for either race (P1 series) or gender (P2 series) [each series includes wording variants] TYPE: ----- Numeric Dec ============================================================================= V022001 PreAdmin.1. Release ============================================================================= QUESTION: --------- Pre Release number VALID CODES: ------------ 1. 1st third 2. 2nd third 3. remainder TYPE: ----- Numeric Dec ============================================================================= V022002 PreAdmin.2. Mode ============================================================================= QUESTION: --------- Pre Mode VALID CODES: ------------ 1. Telephone TYPE: ----- Numeric Dec ============================================================================= V022003 PreAdmin.3. Number of calls ============================================================================= QUESTION: --------- Pre number of calls MISSING CODES: -------------- 99. NA NOTES: ------ 1-25 TYPE: ----- Numeric Dec 1 254 2 199 3 175 4 148 5 89 6 99 7 76 8 59 9 51 10 47 11 38 12 34 13 20 14 30 15 30 16 15 17 21 18 15 19 14 20 15 21 3 22 6 23 7 24 10 25 56 ============================================================================= V022004 PreAdmin.4. Result ============================================================================= QUESTION: --------- Pre Result VALID CODES: ------------ 1. Completed interview NOTES: ------ There were no partials in the 2002 Pre. TYPE: ----- Numeric Dec ============================================================================= V022005 PreAdmin.5. Language ============================================================================= QUESTION: --------- Pre language VALID CODES: ------------ 1. English TYPE: ----- Numeric Dec ============================================================================= V022006 PreAdmin.6. Verification ============================================================================= QUESTION: --------- Pre interview verification VALID CODES: ------------ 5. No verification NOTES: ------ There was no verification of interviews at the interviewing facility. TYPE: ----- Numeric Dec ============================================================================= V022007 PreAdmin.7. Evaluation ============================================================================= QUESTION: --------- Pre interview evaluation VALID CODES: ------------ 5. No evaluation NOTES: ------ There was no evaluation of interviews at the interviewing facility. TYPE: ----- Numeric Dec ============================================================================= V022008 PreAdmin.8. Tape recorded ============================================================================= QUESTION: --------- Pre interview tape-recorded VALID CODES: ------------ 1. Tape recorded 5. Not tape recorded TYPE: ----- Numeric Dec 1 8 5 1503 ============================================================================= V022009 PreAdmin.9. Interviewed in parts ============================================================================= QUESTION: --------- Pre interview in parts VALID CODES: ------------ 1. Interviewed in parts (multiple sessions) 5. Not interviewed in parts (1 session) TYPE: ----- Numeric Dec 1 185 5 1326 ============================================================================= V022010 PreAdmin.10. Number of parts ============================================================================= IF PRE INTERVIEW CONDUCTED IN PARTS: QUESTION: --------- Pre number of parts MISSING CODES: -------------- 9. NA INAP. Not interviewed in parts (5 in PreAdmin.9) NOTES: ------ 2-5 TYPE: ----- Numeric Dec . 1326 2 142 3 32 4 7 5 4 ============================================================================= V022011 PreAdmin.11. Number of interviewers ============================================================================= QUESTION: --------- Pre number of interviewers MISSING CODES: -------------- 9. NA NOTES: ------ This is the number of interviewers used on the case (1-5). TYPE: ----- Numeric Dec 1 1332 2 141 3 29 4 7 5 2 ============================================================================= V022012a PreAdmin.12a. Beginning month ============================================================================= QUESTION: --------- Pre interview - beginning month VALID CODES: ------------ 09. September 10. October 11. November TYPE: ----- Numeric Dec 9 401 10 926 11 184 ============================================================================= V022012b PreAdmin.12b. Beginning day ============================================================================= QUESTION: --------- Pre interview - beginning day NOTES: ------ 1-31 TYPE: ----- Numeric Dec ============================================================================= V022012c PreAdmin.12c. Beginning month and day ============================================================================= QUESTION: --------- Pre interview - beginning month and day (MMDD) NOTES: ------ This is a character variable TYPE: ----- Character ============================================================================= V022012d PreAdmin.12d. Days before election ============================================================================= QUESTION: --------- Pre Interview - Number of days before election MISSING CODES: -------------- 00. NA NOTES: ------ Based on beginning date of interview. The 2002 national elections were held November 5. TYPE: ----- Numeric Dec ============================================================================= V022013a PreAdmin.13a. Ending month ============================================================================= QUESTION: --------- Pre interview - ending month VALID CODES: ------------ 09. September 10. October 11. November TYPE: ----- Numeric Dec 9 369 10 927 11 215 ============================================================================= V022013b PreAdmin.13b. Ending day ============================================================================= QUESTION: --------- Pre interview - ending day NOTES: ------ 1-31 TYPE: ----- Numeric Dec ============================================================================= V022013c PreAdmin.12c. Ending month and day ============================================================================= QUESTION: --------- Pre interview - ending month and day (MMDD) NOTES: ------ This is a character variable TYPE: ----- Character ============================================================================= V022014 PreAdmin.14. Pre Address given ============================================================================= QUESTION: --------- Pre payment address given? VALID CODES: ------------ 1. Yes 5. No TYPE: ----- Numeric Dec 1 1504 5 7 ============================================================================= V022015 PreAdmin.15. Payment mode ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Pre payment mode VALID CODES: ------------ 1. Check MISSING CODES: -------------- INAP. 5 in PreAdmin.14 TYPE: ----- Numeric Dec ============================================================================= V022016 PreAdmin.16. Payment amount ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Pre payment amount VALID CODES: ------------ 20. Twenty dollars 40. Forty dollars 50. Fifty dollars MISSING CODES: -------------- INAP. 5 in PreAdmin.14 TYPE: ----- Numeric Dec . 7 20 1125 40 36 50 343 ============================================================================= V022017a PreAdmin.17a. Month payment mailed ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Date Pre payment mailed - month VALID CODES: ------------ 09. September 10. October 11. November MISSING CODES: -------------- INAP. 5 in PreAdmin.14 TYPE: ----- Numeric Dec . 7 9 144 10 914 11 446 ============================================================================= V022017b PreAdmin.17b. Day payment mailed ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Date Pre payment mailed - day MISSING CODES: -------------- INAP. 5 in PreAdmin.14 NOTES: ------ 1-31 TYPE: ----- Numeric Dec ============================================================================= V022018 PreAdmin.18. Pre Interview Length ============================================================================= QUESTION: --------- Pre Interview Length MISSING CODES: -------------- 0. NA NOTES: ------ This is length in minutes. TYPE: ----- Numeric Dec ============================================================================= V022019 PreAdmin.19. Pre Interviewer IW Number ============================================================================= QUESTION: --------- Pre Interviewer"s Interview Number MISSING CODES: -------------- 0. NA NOTES: ------ This represents the Nth interview of the interviewer. TYPE: ----- Numeric Dec ============================================================================= V022020 PreAdmin.20. Pre Persuasion letter sent ============================================================================= QUESTION: --------- Pre Persuasion letter sent VALID CODES: ------------ 0. No letter sent 1. Pre persuasion letter sent TYPE: ----- Numeric Dec 0 1151 1 360 ============================================================================= V022021 PreAdmin.21. Date of Pre Persuasion Lett ============================================================================= QUESTION: --------- Date of Pre Persuasion Letter MISSING CODES: -------------- INAP. No Pre persuasion letter NOTES: ------ This is a character variable MMDD (2002). TYPE: ----- Character ============================================================================= V022022 PreAdmin.22. Type Pre Persuasion Letter ============================================================================= QUESTION: --------- Type of Pre Persuasion letter sent VALID CODES: ------------ 11. Panel Busy 12. Panel Health 13. Panel No Contact 14. Panel Reluctant 21. Fresh Cross Busy 22. Fresh Cross Health 23. Fresh Cross No Contact 24. Fresh Cross Reluctant 30. Special MISSING CODES: -------------- INAP. No Pre persuasion letter NOTES: ------ For types 21, 22 and 24, increased compensation ($40) was offered in the persuasion letter. TYPE: ----- Numeric Dec . 1151 11 6 12 3 13 246 14 44 21 2 23 29 24 29 30 1 ============================================================================= V022023 PreAdmin.23. Second Persuasion Letter ============================================================================= QUESTION: --------- 2nd Persuasion Letter sent VALID CODES: ------------ 0. 2nd letter not sent 1. 2nd persuasion letter sent October 28, 2002 MISSING CODES: -------------- INAP. Fresh Cross case NOTES: ------ At a late stage of the Pre production period (on October 28, 2002), a special letter offering final maximum compensation ($50) was sent to 872 panel cases which were not yet completions. This letter was in addition to the persuasion letter described in PreAdmin.22. (Note: Fresh cross cases were also offered $50 late in the Pre production period, but these offers were made by telephone). TYPE: ----- Character ============================================================================= V022024 IWR.1. Pre IWR of Record ============================================================================= QUESTION: --------- Pre-election Interviewer of Record MISSING CODES: -------------- 000. NA NOTES: ------ Interviewer ID number is coded and: TYPE: ----- Numeric Dec ============================================================================= V022025 IWR.2. Pre IWR Gender ============================================================================= QUESTION: --------- Pre-election Interviewer Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 0. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 159 1 589 2 763 ============================================================================= V022026 IWR.3. Pre IWR Education Level ============================================================================= QUESTION: --------- Pre-election Interviewer Education Level (highest education) VALID CODES: ------------ 1. 1-8 grades 2. Some high school 3. High school graduate 4. Some college 5. College degree 6. Master's degree 7. PhD MISSING CODES: -------------- 0. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 153 3 80 4 627 5 547 6 99 7 5 ============================================================================= V022027 IWR.4. Pre IWR Race ============================================================================= QUESTION: --------- Pre-election Interviewer Race VALID CODES: ------------ 1. White 2. Black 3. Native American 4. Asian 5. Other MISSING CODES: -------------- 0. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 159 1 1243 2 71 3 3 4 12 5 23 ============================================================================= V022027a IWR.4a. Pre IWR Ethnicity ============================================================================= QUESTION: --------- Pre-election Interviewer Ethnicity VALID CODES: ------------ 0. No ethnicity mentioned 1. Hispanic 7. Other MISSING CODES: -------------- 9. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 1220 1 68 7 70 9 153 ============================================================================= V022028 IWR.5. Pre IWR languages ============================================================================= QUESTION: --------- Pre-Election Interviewer Languages VALID CODES: ------------ 0. No languages spoken 1. Spanish 7. Other MISSING CODES: -------------- 9. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 744 1 228 7 386 9 153 ============================================================================= V022029 IWR.6. Pre IWR experience ============================================================================= QUESTION: --------- Pre-election Interviewer Experience VALID CODES: ------------ 00. None 01. 1 Year or less 02. 13-23 Months 03. 2 years 04. 4 years 05. 5 years 06. 6 years 07. 7 years 08. 8 years 09. 9 years MISSING CODES: -------------- 99. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 194 1 1020 2 77 3 33 4 2 9 3 99 182 ============================================================================= V022030 IWR.7. Pre IWR Age ============================================================================= QUESTION: --------- Pre-election Interviewer Age (age groups) VALID CODES: ------------ 1. 18-34 years 2. 35-40 years 3. 41-45 years 4. 46-50 years 5. 51-55 years 6. 56-60 years 7. 61-64 years 8. 65-79 years MISSING CODES: -------------- 0. NA NOTES: ------ This describes the Pre interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec 0 155 1 1114 2 54 3 35 4 104 6 22 8 27 ============================================================================= V022401 PreRand.C1. RANDOMIZATION C1 PRE THERM ============================================================================= QUESTION: --------- RANDOMIZATION C1 PRE THERMOMETER SERIES VALID CODES: ------------ 1. Order C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r 2. Order C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j NOTES: ------ This variable describes the order of administration of Pre interview thermometer questions (C1 series). Two orderings were possible. TYPE: ----- Numeric Dec 0 1 752 2 759 ============================================================================= V022402 PreRand.H5J5. RANDOMIZATION PRE H5/J5 ============================================================================= QUESTION: --------- RANDOMIZATION PRE H5/J5 VALID CODES: ------------ 1. H5 administered in the Pre interview 2. J5 administered in the Pre interview NOTES: ------ Respondents were randomly assigned to either H4 or J5 in the Pre (alternate placements for President Bush performance on the economy). TYPE: ----- Numeric Dec 0 1 750 2 761 ============================================================================= V022403 PreRand.H7. ORDER OF TEXT - PRE H7 ============================================================================= QUESTION: --------- ORDER OF TEXT - PRE H7 VALID CODES: ------------ 1. Democrats first, Republicans second 2. Republicans first, Democrats second NOTES: ------ Respondents were randomly assigned to be administered Pre question H7 (party that would perform better on the economy) with either "Democrats" or "Republicans" read first. TYPE: ----- Numeric Dec 0 1 741 2 770 ============================================================================= V022404 PreRand.J4R1. RANDOMIZATION PRE J4/R1 ============================================================================= QUESTION: --------- RANDOMIZATION PRE J4/R1 VALID CODES: ------------ 1. J4 administered in the Pre interview 2. R1 administered in the Pre interview NOTES: ------ Respondents were randomly assigned to be administered either J4a and J4d or else R1a and R1d in the Pre (alternate placements for patriotism items). TYPE: ----- Numeric Dec 0 1 768 2 743 ============================================================================= V022405 PreRand.K1K2. RANDOMIZATION PRE K1/K2 ============================================================================= QUESTION: --------- RANDOMIZATION PRE K1/K2 VALID CODES: ------------ 1. R administered K1 in the Pre 2. R administered K2 in the Pre NOTES: ------ Respondents were randomly assigned to be administered either the K1 Federal spending items or the K2 Federal spending items. (If R was administered K1 in the Pre, then questions corresponding to K2 were asked in the Post; if R was administered K2 in the Pre, then questions corresponding to K1 were asked in the Post.) TYPE: ----- Numeric Dec 0 1 771 ============================================================================= V022406 PreRand.K1. RANDOMIZATION PRE K1 SERIES ============================================================================= QUESTION: --------- RANDOMIZATION PRE K1 SERIES VALID CODES: ------------ 1. K1a,b,c,d,e,f,g,h 2. K1a,g,e,b,c,f,h,d MISSING CODES: -------------- INAP. Not administered K1 in the Pre NOTES: ------ This variable describes the order of administration of Pre K1 series Federal spending items. Two orderings were possible. TYPE: ----- Numeric Dec 0 . 740 1 396 2 375 ============================================================================= V022407 PreRand.K1d. RANDOMIZATION PRE K1d WORD ============================================================================= QUESTION: --------- RANDOMIZATION PRE K1d WORDING VALID CODES: ------------ 1. "Public schools" 2. "Big city schools" MISSING CODES: -------------- INAP. Not administered K1 in the Pre NOTES: ------ This variable describes the random assignment of wording in Federal spending item K1d in the Pre. TYPE: ----- Numeric Dec 0 . 740 1 395 2 376 ============================================================================= V022408 PreRand.K1g. RANDOMIZATION PRE K1g WORD ============================================================================= QUESTION: --------- RANDOMIZATION PRE K1g WORDING VALID CODES: ------------ 1. "Homeland security" 2. "War on terrorism" MISSING CODES: -------------- INAP. Not administered K1 in the Pre NOTES: ------ This variable describes the random assignment of wording in Federal spending item K1g in the Pre. TYPE: ----- Numeric Dec 0 . 740 1 373 2 398 ============================================================================= V022409 PreRand.K2. RANDOMIZATION PRE K2 SERIES ============================================================================= QUESTION: --------- RANDOMIZATION PRE K2 SERIES VALID CODES: ------------ 1. K1a,b,c,d,e,f,g,h 2. K1a,g,c,d,e,f,h,b MISSING CODES: -------------- INAP. Not administered K2 in the Pre NOTES: ------ This variable describes the order of administration of Pre K2 series Federal spending items. Two orderings were possible. TYPE: ----- Numeric Dec 0 . 771 1 353 2 387 ============================================================================= V022410 PreRand.K2b. RANDOMIZATION PRE K2b WORD ============================================================================= QUESTION: --------- RANDOMIZATION PRE K2b WORDING VALID CODES: ------------ 1. "Poor people" 2. "Working poor" MISSING CODES: -------------- INAP. Not administered K2 in the Pre NOTES: ------ This variable describes the random assignment of wording in Federal spending item K2b in the Pre. TYPE: ----- Numeric Dec 0 . 771 1 360 2 380 ============================================================================= V022411 PreRand.K2h. RANDOMIZATION PRE K2h WORD ============================================================================= QUESTION: --------- RANDOMIZATION PRE K2h WORDING VALID CODES: ------------ 1. "Poor children" 2. "Black children" MISSING CODES: -------------- INAP. Not administered K2 in the Pre NOTES: ------ This variable describes the random assignment of wording in Federal spending item K2h in the Pre TYPE: ----- Numeric Dec 0 . 771 1 366 2 374 ============================================================================= V022412 PreRand.L2. L2 RANDOM SELECTION ============================================================================= QUESTION: --------- L2 RANDOM SELECTION VALID CODES: ------------ 1. L2a open-end ("better") 2. L2b open-end ("worse") 3. L2c closed series ("better") 4. L2d closed series ("worse") NOTES: ------ Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. TYPE: ----- Numeric Dec 0 1 412 2 386 3 347 4 366 ============================================================================= V022413 PreRand.L2c. RANDOM PRE L2c SERIES ============================================================================= QUESTION: --------- RANDOMIZATION PRE L2c SERIES VALID CODES: ------------ 1. L2c1,c2,c3,c4,c5,c6,c7 2. L2c2,c4,c5,c6,c3,c1,c7 MISSING CODES: -------------- INAP. R not selected for L2c series NOTES: ------ This variable describes the order of administration of Pre L2c closed-list income inequality series items (reasons why some people have better jobs/income). Two orderings were possible. TYPE: ----- Numeric Dec 0 . 1164 1 179 2 168 ============================================================================= V022414 PreRand.L2d. RANDOM PRE L2d SERIES ============================================================================= QUESTION: --------- RANDOMIZATION PRE L2d SERIES VALID CODES: ------------ 1. L2d1,d2,d3,d4,d5,d6,d7 2. L2d2,d4,d5,d6,d3,d1,d7 MISSING CODES: -------------- INAP. R not selected for L2d series NOTES: ------ This variable describes the order of administration of Pre L2d closed-list income inequality series items (reasons why some people have worse jobs/income). Two orderings were possible. TYPE: ----- Numeric Dec 0 . 1145 1 178 2 188 ============================================================================= V022415 PreRand.L9a/b. RANDOM PRE L9a/b WORDING ============================================================================= QUESTION: --------- RANDOMIZATION PRE L9a/b WORDING ORDER VALID CODES: ------------ 1. "Poor" first, "rich" second 2. "Rich" first, "poor" second NOTES: ------ Respondents were randomly assigned to be administered L9a/L9b (party better for the rich/poor) with wording "poor" first and "rich" second or vice versa. (Data in L9a are data for "poor" wording regardless of order; data in L9b are data for "rich" wording regardless of order). TYPE: ----- Numeric Dec 0 1 763 2 748 ============================================================================= V022416 PreRand.L11a/b. RANDOM PRE L11a/b WORD ============================================================================= QUESTION: --------- RANDOMIZATION PRE L11b/c ORDER VALID CODES: ------------ 1. L11b ("rich") first, L11c ("poor") second 2. L11c ("poor") first, L11b ("rich") second NOTES: ------ Respondents were randomly assigned to be administered L11b first and L11c second, or L11c first and L11b second in the Pre (appropriateness of amount paid by rich/poor). TYPE: ----- Numeric Dec 0 1 762 2 749 ============================================================================= V022417 PreRand.M1d. ORDER OF TEXT - PRE M1d ============================================================================= QUESTION: --------- ORDER OF TEXT - PRE M1d VALID CODES: ------------ 1. Democrats first, Republicans second 2. Republicans first, Democrats second NOTES: ------ Respondents were randomly assigned to be administered Pre question M1d (party performance on corporate scandals) with either "Democrats" or "Republicans" read first. TYPE: ----- Numeric Dec 0 1 762 2 749 ============================================================================= V022418 PreRand.M2. RANDOM- M2 SERIES WORDING ============================================================================= QUESTION: --------- RANDOMIZATION - M2 SERIES WORDING VALID CODES: ------------ 1. "Congress passed" 2. "Bush signed" NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series were randomly assigned to the same wording). TYPE: ----- Numeric Dec 0 1 759 2 752 ============================================================================= V022419 PreRand.P1P2. P1/P2 RANDOM SELECTION ============================================================================= QUESTION: --------- P1/P2 RANDOM SELECTION VALID CODES: ------------ 1. Series 1: P1 series "whites better jobs/income" wording 2. Series 2: P1 series "blacks worse jobs/income" wording 3. Series 3: P2 series "women worse jobs/income" wording 4. Series 4: P2 series "men better jobs/income" wording NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 and P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 and P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1 and P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 and P2j,k,m TYPE: ----- Numeric Dec 0 1 376 2 363 3 398 4 374 ============================================================================= V022420 PreRand.P1. RANDOMIZATION PRE P1 SERIES ============================================================================= QUESTION: --------- RANDOMIZATION PRE P1 SERIES VALID CODES: ------------ 1. P1a,c,d,e,f,g 2. P1b,d,e,f,c,a,g MISSING CODES: -------------- INAP. Not assigned to a P1 series NOTES: ------ Respondents were administered a P1 (race) income inequality series in 1 of 2 possible orders, randomly assigned. This order was used regardless of which P1 series was administered ("whites better/higher" or "blacks worse/lower"). TYPE: ----- Numeric Dec 0 . 772 1 385 2 354 ============================================================================= V022421 PreRand.P1k/m. RANDOM PRE P1k/m WORDING ============================================================================= QUESTION: --------- RANDOMIZATION PRE P1k/m WORDING ORDER VALID CODES: ------------ 1. "Whites" first, "blacks" second 2. "Blacks" first, "whites" second MISSING CODES: -------------- INAP. Not assigned to a P1 series NOTES: ------ Respondents were randomly assigned to be administered P1k/P1m (party better for whites/blacks) with wording "whites" first and "blacks" second or vice versa. (Data in P1k are data for "whites" wording regardless of order; data in P1m are data for "blacks" wording regardless of order). TYPE: ----- Numeric Dec 0 . 772 1 361 2 378 ============================================================================= V022422 PreRand.P2. RANDOMIZATION PRE P2 SERIES ============================================================================= QUESTION: --------- RANDOMIZATION PRE P2 SERIES VALID CODES: ------------ 1. P2a,c,d,e,f,g 2. P2b,d,e,f,c,a,g MISSING CODES: -------------- INAP. Not assigned to a P2 series NOTES: ------ Respondents were administered a P2 (gender) income inequality series in 1 of 2 possible orders, randomly assigned. This order was used regardless of which P2 series was administered ("women worse/lower" or "men better/higher"). TYPE: ----- Numeric Dec 0 . 739 1 404 2 368 ============================================================================= V022423 PreRand.P2k/m. RANDOM PRE P2k/m WORDING ============================================================================= QUESTION: --------- RANDOMIZATION PRE P2k/m WORDING ORDER VALID CODES: ------------ 1. "Women" first, "men" second 2. "Men" first, "women" second MISSING CODES: -------------- INAP. Not assigned to a P2 series NOTES: ------ Respondents were randomly assigned to be administered P2k/P2m (party better for women/men) with wording "women" first and "men" second or vice versa. (Data in P2k are data for "women" wording regardless of order; data in P2m are data for "men" wording regardless of order). TYPE: ----- Numeric Dec 0 . 739 1 369 2 403 ============================================================================= V022424 PreRand.Q1Q4. RANDOM ORDER Q1-Q2/Q3-Q4 ============================================================================= QUESTION: --------- RANDOMIZED ORDER Q1-Q2/Q3-Q4 VALID CODES: ------------ 1. Q2-Q4 first, Q1-Q2 second 2. Q1-Q2 first, Q3-Q4 second MISSING CODES: -------------- INAP. Fresh Cross-Section respondent NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. TYPE: ----- Numeric Dec 0 . 324 1 594 2 593 ============================================================================= V022425 PreRand.Q3d. RANDOM ORDER PRE Q3d SERIES ============================================================================= QUESTION: --------- RANDOMIZED ORDER PRE Q3d SERIES VALID CODES: ------------ 1. Q3d1,d2,d5,d6 2. Q3d5,d6,d1,d2 MISSING CODES: -------------- INAP. Fresh Cross-Section respondent NOTES: ------ For Pre panel respondents, the Q3d series of questions (reasons for 9/11 attack) were asked in 1 of 2 possible orders, randomly assigned. TYPE: ----- Numeric Dec 0 . 324 1 585 2 602 ============================================================================= V022426 PreRand.Q3g. RANDOMIZED PRE Q3g WORDING ============================================================================= QUESTION: --------- RANDOMIZED PRE Q3g WORDING VALID CODES: ------------ 1. "Handling war on terrorism" 2. "Responded to attack of September 11" NOTES: ------ Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. TYPE: ----- Numeric Dec 0 1 774 2 737 ============================================================================= V022427 PreRand.Q4a4. RANDOMIZED ORDER Q4a4/Q4a5 ============================================================================= QUESTION: --------- RANDOMIZED ORDER Q4a4/Q4a5 VALID CODES: ------------ 1. Q4a4 first, Q4a5 second 2. Q4a5 first, Q4a4 second MISSING CODES: -------------- INAP. Fresh Cross-Section respondent NOTES: ------ Panel respondents were randomly assigned to be administered Q4a4 (whether war against the Taliban worth the cost) either before or after Q4a5 (is Bin Laden still alive) in the Pre. TYPE: ----- Numeric Dec 0 . 324 1 606 2 581 ============================================================================= V023001 A1. How Much Attn to Campaigns ============================================================================= QUESTION: --------- 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? VALID CODES: ------------ 1. Very much interested 3. Somewhat interested 5. Not much interested MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 5 1 367 3 811 5 326 8 2 ============================================================================= V023002 A6. How Many Days Watched Natl News ============================================================================= QUESTION: --------- How many days in the PAST WEEK did you watch the NATIONAL network news on TV? VALID CODES: ------------ 00. None 01. One Day 02. Two Days 03. Three Days 04. Four Days 05. Five Days 06. Six Days 07. Every Day MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA TYPE: ----- Numeric Dec 0 0 309 1 118 2 163 3 165 4 93 5 151 6 41 7 467 8 2 99 2 ============================================================================= V023003 A7. Num Days Local Aft/Early Eve News ============================================================================= QUESTION: --------- How many days IN THE PAST WEEK did you watch the local TV news shows, either in the late afternoon or in the early-evening? VALID CODES: ------------ 00. None 01. One Day 02. Two Days 03. Three Days 04. Four Days 05. Five Days 06. Six Days 07. Every Day MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA TYPE: ----- Numeric Dec 0 0 279 1 99 2 144 3 157 4 121 5 184 6 68 7 455 8 1 9 1 99 2 ============================================================================= V023004 A10. Num Days Read Newsp in Past Wk ============================================================================= QUESTION: --------- How many days IN THE PAST WEEK did you read a daily newspaper? VALID CODES: ------------ 00. None 01. One Day 02. Two Days 03. Three Days 04. Four Days 05. Five Days 06. Six Days 07. Every Day MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA TYPE: ----- Numeric Dec 0 0 326 1 192 2 144 3 116 4 75 5 87 6 45 7 525 99 1 ============================================================================= V023005 A12. App/disapp Bush Handling Job as Pre ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way George W. Bush is HANDLING HIS JOB AS PRESIDENT? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 29 1 1009 5 435 8 28 9 10 ============================================================================= V023006 A12a. Bush Job as Pres- Approve/Disapp ============================================================================= IF R APPROVES GEORGE W. BUSH HANDLING JOB AS PRESIDENT:/ IF R DISAPPROVES GEORGE W. BUSH HANDLING JOB AS PRESIDENT: QUESTION: --------- (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not Strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in A12 TYPE: ----- Numeric Dec 0 . 67 0 6 1 967 5 467 8 3 9 1 ============================================================================= V023006x A12x. Summary - Bush job as Pres ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way George W. Bush is HANDLING HIS JOB AS PRESIDENT? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know (A12 or A12a) 9. Refused (A12 or A12a) 0. NA (A12 or A12a) NOTES: ------ Built from A12 and A12a. TYPE: ----- Numeric Dec 0 0 35 1 691 2 310 4 157 5 276 8 31 9 11 ============================================================================= V023007 B1. How Much R Cares Who Wins House ============================================================================= QUESTION: --------- As you know, representatives to Congress in Washington are being 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? VALID CODES: ------------ 1. Very much 2. Pretty much 3. Not very much 4. Not at all MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 3 1 467 2 642 3 336 4 58 8 4 9 1 ============================================================================= V023008 B2. Approve/Disapp Congress ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way the U.S. Congress has been handling its job? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 46 1 889 5 525 8 36 9 15 ============================================================================= V023009 B2a. Congress Appr/Disapp How Much ============================================================================= IF R APPROVES U.S. CONGRESS HANDLING ITS JOB:/ IF R DISAPPROVES U.S. CONGRESS HANDLING ITS JOB: QUESTION: --------- (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not Strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in B2 TYPE: ----- Numeric Dec 0 . 97 0 7 1 584 5 821 8 1 9 1 ============================================================================= V023009x B2x. Summary - Approve Congress Job ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way the U.S. Congress has been handling its job? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know (B2 or B2a) 9. Refused (B2 or B2a) 0. NA (B2 or B2a) NOTES: ------ Built from B2 and B2a. TYPE: ----- Numeric Dec 0 0 53 1 294 2 587 4 234 5 290 8 37 9 16 ============================================================================= ============================================================================= I"d like to get your feelings toward some people in the news these days. I"ll read the name of a person and I"ll ask you to rate that person on a thermometer that runs from 0 to 100 degrees. Rating above 50 means that you feel favorable and warm toward the person. Rating below 50 means that you feel unfavorable and cool toward the person. Rating right at the 50 degree mark means you don"t feel particularly warm or cold. You may use any number from 0 to 100 to tell me how favorable or unfavorable your feelings are. If we come to a person whose name you don"t recognize, just tell me and we"ll move on to the next one. ============================================================================= V023010 C1a. George W. Bush Thermometer ============================================================================= QUESTION: --------- The first person is: George W. Bush Where on that thermometer would you rate George W. Bush? {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA TYPE: ----- Numeric Dec 0 ============================================================================= V023011 C1b. Cheney Thermometer ============================================================================= QUESTION: --------- Dick Cheney (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023012 C1c. Gore Thermometer ============================================================================= QUESTION: --------- Al Gore (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023013 C1d. Lieberman Thermometer ============================================================================= QUESTION: --------- Joseph Lieberman (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023014 C1e. Nader Thermometer ============================================================================= QUESTION: --------- Ralph Nader (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023015 C1f. Bill Clinton Thermometer ============================================================================= QUESTION: --------- Bill Clinton (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023016 C1h. Colin Powell Thermometer ============================================================================= QUESTION: --------- Colin Powell (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023017 C1j. Ashcroft Thermometer ============================================================================= QUESTION: --------- John Ashcroft (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023018 C1m. Jackson Thermometer ============================================================================= QUESTION: --------- Jesse Jackson (Where on that thermometer would you rate him?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023019 C1p. Laura Bush Thermometer ============================================================================= QUESTION: --------- Laura Bush (Where on that thermometer would you rate her?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023020 C1r. Hillary Clinton Thermometer ============================================================================= QUESTION: --------- Hillary Clinton (Where on that thermometer would you rate her?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA NOTES: ------ Individual thermometers (C1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): C1a,Clb,C1c,C1d,C1e,C1f,C1j,C1h,C1m,C1p,C1r C1a,C1b,C1c,C1d,C1e,C1f,C1r,C1p,C1m,C1h,C1j Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V023021 D2. Better One Party Control or Split ============================================================================= QUESTION: --------- Do you think it is better when ONE PARTY CONTROLS both the presidency and Congress, better when CONTROL IS SPLIT between the Democrats and Republicans, or DOESN"T MATTER? VALID CODES: ------------ 1. Better When One Party Controls Both 3. Better When Control Is Split 5. It Doesn't Matter MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 32 1 315 3 888 5 261 8 9 9 6 ============================================================================= V023022 F1. R 7Pt Scale Lib-Con Self-Placement ============================================================================= QUESTION: --------- We hear a lot of talk these days about liberals and conservatives. When it comes to politics, do you usually think of yourself as EXTREMELY LIBERAL, LIBERAL, SLIGHTLY LIBERAL, MODERATE OR MIDDLE OF THE ROAD, SLIGHTLY CONSERVATIVE, CONSERVATIVE, EXTREMELY CONSERVATIVE, or haven"t you thought much about this? VALID CODES: ------------ 01. Extremely Liberal 02. Liberal 03. Slightly Liberal 04. Moderate; Middle of the Road 05. Slightly Conservative 06. Conservative 07. Extremely Conservative MISSING CODES: -------------- 08. Don't know 09. Refused 90. Haven't thought much [Do Not Probe] 00. NA TYPE: ----- Numeric Dec 0 0 11 1 23 2 181 3 135 4 340 5 186 6 315 7 65 8 8 9 3 90 244 ============================================================================= V023023 F1a. If R Had to Choose Liberal/Conserv ============================================================================= IF R LIB-CON SCALE SELF-PLACEMENT IS MODERATE/HAVEN'T THOUGHT/DK: QUESTION: --------- If you had to choose, would you consider yourself a LIBERAL or a CONSERVATIVE? VALID CODES: ------------ 1. Liberal 3. Conservative 5. Moderate {VOL} 7. R Refuses to Choose MISSING CODES: -------------- 8. Don't know 0. NA INAP. 1-3,5-7,9,0 in F1 TYPE: ----- Numeric Dec 0 . 919 0 9 1 228 3 306 5 11 7 17 8 21 ============================================================================= V023024 F1x. Summary - Lib-Con Self-Placement ============================================================================= QUESTION: --------- We hear a lot of talk these days about liberals and conservatives. When it comes to politics, do you usually think of yourself as EXTREMELY LIBERAL, LIBERAL, SLIGHTLY LIBERAL, MODERATE OR MIDDLE OF THE ROAD, SLIGHTLY CONSERVATIVE, CONSERVATIVE, EXTREMELY CONSERVATIVE, or haven"t you thought much about this? If you had to choose, would you consider yourself a LIBERAL or a CONSERVATIVE? VALID CODES: ------------ 1. Liberal (01/02/03;. or 90/04/08;1) 3. Moderate (90/04/08;5 or 04;7/8/0) 5. Conservative (05/06/07;. or 90/04/08;3) 7. Refused to choose (90/08;7 or 09;.) MISSING CODES: -------------- 8. DK (90/08;8) 0. NA to F1; 08,90 in F1 and 0 in F1a NOTES: ------ Built from F1 and F1a TYPE: ----- Numeric Dec 0 0 19 1 567 3 20 5 872 7 16 8 17 ============================================================================= V023025 G1. R Better/Worse Off in Last Year ============================================================================= QUESTION: --------- We are interested in how people are getting along financially these days. Would you say that you (and your family) are BETTER OFF, WORSE OFF, or just about the same financially as you were a year ago? VALID CODES: ------------ 1. Better 3. Worse 5. Same MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 3 1 319 3 430 5 754 8 2 9 3 ============================================================================= V023026 G1a. R How Much Bett/Wrs Off in Last Yr ============================================================================= IF R IS BETTER OFF FINANCIALLY THAN A YEAR AGO:/ IF R IS WORSE OFF FINANCIALLY THAN A YEAR AGO: QUESTION: --------- (Is that) MUCH [better/worse] off or SOMEWHAT [better/worse] off? VALID CODES: ------------ 1. Much Better 2. Somewhat Better 3. Same (5 in G1) 4. Somewhat Worse 5. Much Worse MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in G1 TYPE: ----- Numeric Dec 0 . 8 0 6 1 88 2 227 3 754 4 297 5 129 8 2 ============================================================================= V023027 H1. US Economy Better/Worse in Last Yr ============================================================================= QUESTION: --------- 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? VALID CODES: ------------ 1. Better 3. Same 5. Worse MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 6 1 69 3 321 5 1112 8 3 ============================================================================= V023028 H1a. How Much US Econ Bet/Wrs in Last Yr ============================================================================= IF R SAYS ECONOMY HAS GOTTEN BETTER:/ IF R SAYS ECONOMY HAS GOTTEN WORSE: QUESTION: --------- (Would you say) MUCH [better/worse] or SOMEWHAT [better/ worse]? VALID CODES: ------------ 1. Much Better 2. Somewhat Better 3. Same (3 in H1) 4. Somewhat Worse 5. Much Worse MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in H1 TYPE: ----- Numeric Dec 0 . 9 0 2 1 8 2 61 3 321 4 627 5 481 8 1 9 1 ============================================================================= V023029 H5. Approve/Disapp Bush on Economy ============================================================================= IF R SELECTED FOR H5 ADMINISTRATION: QUESTION: --------- Do you APROVE or DISAPPROVE of the way George W. Bush is HANDLING THE ECONOMY? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for J5 administration NOTES: ------ Approval of the President's performance on the economy was randomly assigned to administration at H5 or J5 in the Pre. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 761 0 21 1 384 5 332 8 12 9 1 ============================================================================= V023030 H5a. How Much Appr/Disapp Bush on Econ ============================================================================= IF R SELECTED FOR H5 ADMINISTRATION: IF R APPROVES GEORGE W. BUSH HANDLING THE ECONOMY:/ IF R DISAPPROVES GEORGE W. BUSH HANDLING THE ECONOMY: QUESTION: --------- (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not Strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in H5; R selected for J5 administration TYPE: ----- Numeric Dec 0 . 795 0 4 1 410 5 300 8 2 ============================================================================= V023031 H7. Which Pty Bettr Handle Economy ============================================================================= QUESTION: --------- Which party do you think would do a better job of HANDLING THE NATION"S ECONOMY... the [Democrats/Republicans], the [Republicans/Democrats], or wouldn"t there be much difference between them? {IF "DK" OR "NEITHER PARTY" IS VOLUNTEERED, DO NOT PROBE} VALID CODES: ------------ 1. Democrats 3. Republicans 5. Wouldn't Be Much Difference/no Difference 7. Neither Party {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ Order of "Democrats" and "Republicans" in question text is randomized. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 6 1 450 3 416 5 597 7 13 8 25 9 4 ============================================================================= V023032 H9. US Position Stronger/Weaker in Last ============================================================================= QUESTION: --------- Turning to some other issues facing the country. 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? VALID CODES: ------------ 1. Weaker 3. Stayed about the Same 5. Stronger MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 8 1 498 3 452 5 542 8 8 9 3 ============================================================================= V023033 H12. Agree/Dis US Should Stay Home ============================================================================= QUESTION: --------- 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." VALID CODES: ------------ 1. Agree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 34 1 285 5 1174 8 15 9 3 ============================================================================= V023034 H13. Appr/Dis Bush Handling Forgn Relatn ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way George W. Bush is HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 20 1 912 5 556 8 18 9 5 ============================================================================= V023035 H13a. How Much App/Dis Bush on Foreign R ============================================================================= IF R APPROVES GEORGE W. BUSH HANDLING FOREIGN RELATIONS:/ IF R DISAPPROVES GEORGE W. BUSH HANDLING FOREIGN RELATIONS: QUESTION: --------- (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not Strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in H13 TYPE: ----- Numeric Dec 0 . 43 0 7 1 956 5 504 8 1 ============================================================================= V023035x H13x. Summary: Bush on Foreign Relations ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way George W. Bush is HANDLING OUR RELATIONS WITH FOREIGN COUNTRIES? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know (H13 or H13a) 9. Refused (H13 or H13a) 0. NA (H13 or H13a) NOTES: ------ Built from H13 and H13a. TYPE: ----- Numeric Dec 0 0 27 1 586 2 319 4 185 5 370 8 19 9 5 ============================================================================= V023036 J1. R Consider Self Dem/Rep/Ind ============================================================================= QUESTION: --------- Generally speaking, do you usually think of yourself as a REPUBLICAN, a DEMOCRAT, an INDEPENDENT, or what? VALID CODES: ------------ 1. Democrat 2. Republican 3. Independent 4. Other Party {VOL} {SPECIFY} 5. No Preference {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 13 1 502 2 474 3 429 4 27 5 59 8 5 9 2 ============================================================================= V023037 J1a. Strength R Considers Self Dem/Rep ============================================================================= IF R IDENTIFIES SELF AS A DEMOCRAT:/ IF R IDENTIFIES SELF AS A REPUBLICAN: QUESTION: --------- Would you call yourself a STRONG [democrat/republican] or a NOT VERY STRONG [democrat/republican]? VALID CODES: ------------ 1. Strong 5. Not Very Strong MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 3-5,8,9,0 in J1 TYPE: ----- Numeric Dec 0 . 535 0 3 1 486 5 485 8 1 9 1 ============================================================================= V023038 J1b. Is R Closer to Dem/Rep Party ============================================================================= IF R IDENTIFIES AS INDEPENDENT/OTHER PARTY/NO PREFERENCE/DK: QUESTION: --------- Do you think of yourself as CLOSER to the Republican Party or to the Democratic party? VALID CODES: ------------ 1. Closer to Republican 3. Neither {VOL} 5. Closer to Democratic MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,2,9,0 in J1 TYPE: ----- Numeric Dec 0 . 991 0 14 1 197 3 95 5 204 8 8 9 2 ============================================================================= V023038x J1x. Party Identification Summary ============================================================================= QUESTION: --------- Generally speaking, do you usually think of yourself as a REPUBLICAN, a DEMOCRAT, an INDEPENDENT, or what? Would you call yourself a STRONG [democrat/republican] or a NOT VERY STRONG [democrat/republican]? / Do you think of yourself as CLOSER to the Republican Party or to the Democratic party? VALID CODES: ------------ 0. Strong Democrat 1. Weak Democrat 2. Independent-Democrat 3. Independent-Independent 4. Independent-Republican 5. Weak Republican 6. Strong Republican MISSING CODES: -------------- 7. Other; minor party; refuses to say 8. Apolitical 9. NA 0 in J1 NOTES: ------ Built from J1, J1a, J1b. Code 8 (apolitical) was used only if the respondent had a code of 5 or 8 in J1 and a code of 3,8,9,0 in J1b AND also showed little or no interest in politics in response to the following survey questions: PRE question A1.(interest in campaigns, 5), PRE question B1 (care about Congressional race outcome, 4), POST question C1x (nonvoter, 5), POST question F5 (follow public affairs, 4 ); respondents who showed an interest in politics were coded 3 in J1x. TYPE: ----- Numeric Dec 0 0 248 1 254 2 204 3 102 4 197 5 236 6 238 7 10 8 9 9 13 ============================================================================= V023039 J4a. Has R Shown Flag in Past 12 Months ============================================================================= IF R SELECTED FOR J4 ADMINISTRATION: QUESTION: --------- In the PAST TWELVE MONTHS, have you flown an American flag or displayed the flag in some other way, such as in a window, or on your car, or on a T-shirt or other piece of clothing? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for R1 administration NOTES: ------ Patriotism items were randomly assigned to placement at J4a,d or R1a,d. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 743 0 1 1 668 5 99 ============================================================================= V023040 J4d. Things about US Make R Ashamed(1) ============================================================================= IF R SELECTED FOR J4 ADMINISTRATION: QUESTION: --------- Please tell me whether you agree or disagree with this statement: "There are some things about America today that make me feel ashamed of America." Do you AGREE, NEITHER AGREE NOR DISAGREE, or DISAGREE? VALID CODES: ------------ 1. Agree 3. Neither agree nor disagree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for R1 administration NOTES: ------ Patriotism items were randomly assigned to placement at J4a,d or R1a,d. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 743 0 2 1 328 3 95 5 339 8 1 9 3 ============================================================================= V023041 J5. Approve/Disapprove Bush on Economy ============================================================================= IF R SELECTED FOR J5 ADMINISTRATION: QUESTION: --------- Do you APPROVE or DISAPPROVE of the way George W. Bush is HANDLING THE ECONOMY? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for H5 administration NOTES: ------ Approval of the President's performance on the economy was randomly assigned to administration at H5 or J5 in the Pre. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 750 0 9 1 421 5 303 8 18 9 10 ============================================================================= V023042 J5a. How Much Appr/Disapp Bush on Econ ============================================================================= IF R SELECTED FOR J5 ADMINISTRATION: IF R APPROVES GEORGE W. BUSH HANDLING THE ECONOMY:/ IF R DISAPPROVES GEORGE W. BUSH HANDLING THE ECONOMY: QUESTION: --------- (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not Strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for H5 administration; 8,9,0 in J5 TYPE: ----- Numeric Dec 0 . 787 1 396 5 327 8 1 ============================================================================= V023042x J5x. Summary: GW Bush on Economy ============================================================================= QUESTION: --------- Do you APPROVE or DISAPPROVE of the way George W. Bush is HANDLING THE ECONOMY? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ This summarizes data from H5 and J5 placements. TYPE: ----- Numeric Dec 0 0 34 1 386 2 415 4 212 5 420 8 33 9 11 ============================================================================= ============================================================================= Now I am going to read a statement and ask you whether you agree or disagree. ============================================================================= V023043 J6a. Poor Have Same Chance at Fair Trial ============================================================================= QUESTION: --------- "In the U.S. today, a poor person has the same chance of getting a fair trial as a wealthy person does". Do you AGREE, NEITHER AGREE NOR DISAGREE, or DISAGREE? VALID CODES: ------------ 1. Agree 3. Neither agree nor disagree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 5 1 200 3 134 5 1165 8 7 ============================================================================= ============================================================================= IF R SELECTED FOR PRE K1 SERIES: Next I am going to read you a list of federal programs. For each one, I would like you to tell me whether you would like to see spending INCREASED or DECREASED. ============================================================================= V023044 K1a. Highways-Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: QUESTION: --------- The first program is : Building and repairing highways. If you had a say in making up the federal budget this year, should federal spending on building and repairing highways be INCREASED, DECREASED, or KEPT ABOUT THE SAME? VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 740 0 2 1 265 2 56 3 447 ============================================================================= V023045 K1b. AIDS Research- Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: QUESTION: --------- (What about) spending on AIDS research? (Should federal spending on AIDS research be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 740 0 3 1 302 2 66 3 392 4 1 8 6 9 1 ============================================================================= V023046 K1c. Welfare- Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: QUESTION: --------- (What about) welfare programs? (Should federal spending on welfare programs be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 740 0 2 1 164 2 198 3 395 4 3 8 7 9 2 ============================================================================= V023047a K1d1. Public Schools- Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: IF R SELECTED FOR 'PUBLIC SCHOOLS' WORDING: QUESTION: --------- (What about) [public schools/big-city schools]? (Should federal spending on [public schools/big-city schools] be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series; R selected for alternate wording NOTES: ------ 1/2 of K1d respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1116 1 287 2 17 3 91 ============================================================================= V023047b K1d2. Big City Schools -Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: IF R SELECTED FOR 'BIG CITY SCHOOLS' WORDING: QUESTION: --------- (What about) [public schools/big-city schools]? (Should federal spending on [public schools/big-city schools] be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series; R selected for alternate wording NOTES: ------ 1/2 of K1d respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 2 1 200 2 33 3 132 4 1 8 8 ============================================================================= V023048 K1e. Crime- Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: QUESTION: --------- (What about) dealing with crime? (Should federal spending on dealing with crime be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 740 0 5 1 475 2 31 3 256 8 3 9 1 ============================================================================= V023049 K1f. Child Care- Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: QUESTION: --------- (What about) child care? (Should federal spending on child care be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 740 0 4 1 439 2 49 3 275 4 1 8 1 9 2 ============================================================================= V023050a K1g1. Homeland Security-Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: IF R SELECTED FOR 'HOMELAND SECURITY' WORDING: QUESTION: --------- (What about) [Homeland security/the war on terrorism]? (Should federal spending on Homeland security be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series; R selected for alternate wording NOTES: ------ 1/2 of K1g respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1138 0 2 1 237 2 21 3 109 8 4 ============================================================================= V023050b K1g2. Terrorism-Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: IF R SELECTED FOR 'WAR ON TERRORISM' WORDING: QUESTION: --------- (What about) [Homeland security/the war on terrorism]? (Should federal spending on Homeland security be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series; R selected for alternate wording NOTES: ------ 1/2 of K1g respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 3 1 234 2 34 3 124 8 2 9 1 ============================================================================= V023051 K1h. Unemp Insurance-Federal Spending ============================================================================= IF R SELECTED FOR PRE K1 SERIES: QUESTION: --------- (What about) unemployment insurance? (Should federal spending on unemployment insurance be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K2 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K1a,K1b,K1c,K1d,K1e,K1f,K1g,K1h K1a,K1g,K1e,K1b,K1c,K1f,K1h,K1d Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 740 0 2 1 275 2 76 3 405 8 10 9 3 ============================================================================= ============================================================================= IF R SELECTED FOR PRE K2 SERIES: Next I am going to read you a list of federal programs. For each one, I would like you to tell me whether you would like to see spending INCREASED or DECREASED. ============================================================================= V023052 K2a. Environmental Protect-Federal Spend ============================================================================= IF R SELECTED FOR PRE K2 SERIES: QUESTION: --------- The first program is : environmental protection If you had a say in making up the federal budget this year, should federal spending on environmental protection be INCREASED, DESCREASED, or KEPT ABOUT THE SAME? VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 771 1 299 2 72 3 367 8 2 ============================================================================= V023053a K2b1. Aid To Poor People-Federal Spend ============================================================================= IF R SELECTED FOR PRE K2 SERIES: IF R SELECTED FOR 'POOR PEOPLE' WORDING: QUESTION: --------- (What about) [aid to poor people/aid to the working poor]? (Should federal spending on [aid to poor people /aid to the working poor] be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series; R selected for alternate wording NOTES: ------ 1/2 of K2b respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1151 1 188 2 24 3 143 4 1 8 4 ============================================================================= V023053b K2b2. Aid To Working Poor-Federal Spend ============================================================================= IF R SELECTED FOR PRE K2 SERIES: IF R SELECTED FOR 'WORKING POOR' WORDING: QUESTION: --------- (What about) [aid to poor people/aid to the working poor]? (Should federal spending on [aid to poor people /aid to the working poor] be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series; R selected for alternate wording NOTES: ------ 1/2 of K2b respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1131 0 2 1 229 2 13 3 130 8 6 ============================================================================= V023054 K2c. Foreign Aid-Federal Spending ============================================================================= IF R SELECTED FOR PRE K2 SERIES: QUESTION: --------- (What about) foreign aid? (Should federal spending on foreign aid be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 771 0 6 1 70 2 317 3 338 4 1 8 6 9 2 ============================================================================= V023055 K2d. Social Security-Federal Spending ============================================================================= IF R SELECTED FOR PRE K2 SERIES: QUESTION: --------- (What about) Social Security? (Should federal spending on Social Security be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 771 0 2 1 464 2 19 3 248 4 1 8 5 9 1 ============================================================================= V023056 K2e. Border Security- Federal Spending ============================================================================= IF R SELECTED FOR PRE K2 SERIES: QUESTION: --------- (What about) tightening border security to prevent illegal immigration? (Should federal spending on tightening border security to prevent illegal immigration be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 771 1 508 2 48 3 179 4 1 8 2 9 2 ============================================================================= V023057 K2f. Aid to Blacks-Federal Spending ============================================================================= IF R SELECTED FOR PRE K2 SERIES: QUESTION: --------- (What about) aid to blacks? (Should federal spending on aid to blacks be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 771 0 11 1 151 2 118 3 438 4 1 8 6 9 15 ============================================================================= V023058 K2g. Infant Mortality-Federal Spending ============================================================================= IF R SELECTED FOR PRE K2 SERIES: QUESTION: --------- (What about) preventing infant mortality? (Should federal spending on preventing infant mortality be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series NOTES: ------ Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 771 0 3 1 364 2 38 3 310 4 2 8 18 9 5 ============================================================================= V023059a K2h1. Early Ed For Poor- Federal Spend ============================================================================= IF R SELECTED FOR PRE K2 SERIES: IF R SELECTED FOR 'POOR CHILDREN' WORDING QUESTION: --------- (What about) [pre-school and early education for poor children/ pre-school and early education for black children]? (Should federal spending on [pre-school and early education for poor children/ pre-school and early education for black children] be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series; R selected for alternate wording NOTES: ------ 1/2 of K2h respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 1 265 2 8 3 92 9 1 ============================================================================= V023059b K2h2. Early Ed For Blacks- Federal Spend ============================================================================= IF R SELECTED FOR PRE K2 SERIES: IF R SELECTED FOR 'BLACK CHILDREN' WORDING QUESTION: --------- (What about) [pre-school and early education for poor children/ pre-school and early education for black children]? (Should federal spending on [pre-school and early education for poor children/ pre-school and early education for black children] be INCREASED, DECREASED, or KEPT ABOUT THE SAME?) VALID CODES: ------------ 1. Increased 2. Decreased 3. Kept about the same 4. Cut out entirely {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for Pre K1 series; R selected for alternate wording NOTES: ------ 1/2 of K2h respondents (1/4 sample each) were administered each wording. Administration of K1 Federal spending series or K2 Federal spending series was randomly assigned. Individual K1 spending items were administered in one of two possible orders following K1a (highways fixed as 1st): K2a,K2b,K2c,K2d,K2e,K2f,K2g,K2h K2a,K2g,K2c,K2d,K2e,K2f,K2h,K2b Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 13 1 187 2 29 3 140 4 1 8 2 9 2 ============================================================================= V023060 L1a. Last 20 Yrs Change in Inc Inequal ============================================================================= QUESTION: --------- Now on a different topic. Do you think the difference in incomes between rich people and poor people in the United States today is LARGER, SMALLER, or ABOUT THE SAME as it was 20 years ago? VALID CODES: ------------ 1. Larger 3. Smaller 5. About the same MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 1 1 1141 3 112 5 237 8 18 9 2 ============================================================================= V023061 L1a1. How Much Change in Income Inequal ============================================================================= IF R SAYS GAP BETWEEN RICH AND POOR LARGER THAN 20 YEARS AGO:/ IF R SAYS GAP BETWEEN RICH AND POOR SMALLER THAN 20 YEARS AGO: QUESTION: --------- (Would you say the difference in incomes is) MUCH [larger/smaller] or SOMEWHAT [larger/smaller]? VALID CODES: ------------ 1. Much larger 2. Somewhat larger 3. About the same (3 in L1a) 4. Somewhat smaller 5. Much smaller MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in L1a TYPE: ----- Numeric Dec 0 . 21 0 2 1 665 2 469 3 237 4 86 5 26 8 3 9 2 ============================================================================= V023062 L1a2. Is Change in Inc Inequal Good/Bad ============================================================================= IF R SAYS GAP BETWEEN RICH AND POOR LARGER THAN 20 YEARS AGO:/ IF R SAYS GAP BETWEEN RICH AND POOR SMALLER THAN 20 YEARS AGO: QUESTION: --------- Do you think this is A GOOD THING, A BAD THING, or haven"t you thought about it? VALID CODES: ------------ 1. Good thing 3. Bad thing MISSING CODES: -------------- 7. Haven't thought 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in L1a TYPE: ----- Numeric Dec 0 . 258 0 11 1 112 3 694 7 426 8 7 9 3 ============================================================================= V023063 L2a. Why do Some Have Better Jobs/Income ============================================================================= IF R SELECTED FOR L2a ADMINISTRATION: QUESTION: --------- In America today, some people have BETTER JOBS and HIGHER INCOMES than others do. WHY do you think that is -- why do some Americans have better jobs and higher incomes than others do? VALID CODES: ------------ 1. Text present 5. No text present MISSING CODES: -------------- INAP. R not selected for L2a administration NOTES: ------ This variable flags cases with text recorded whether or not the text itself represents substantive response or opinion (including e.g. digressions, statement of no opinion or refusal etc.). Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1099 1 410 5 2 ============================================================================= V023064 L2b. Why do Some Have Worse Jobs/Income ============================================================================= IF R SELECTED FOR L2b ADMINISTRATION: QUESTION: --------- In America today, some people have WORSE JOBS and LOWER INCOMES than others do. WHY do you think that is -- why do some Americans have worse jobs and lower incomes than others do? VALID CODES: ------------ 1. Text present 5. No text present MISSING CODES: -------------- INAP. R not selected for L2b administration NOTES: ------ This variable flags cases with text recorded whether or not the text itself represents substantive response or opinion (including e.g. digressions, statement of no opinion or refusal etc.). Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1125 1 374 5 12 ============================================================================= ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: Next, we'd like to know WHY you think it is, that in America today, some people have BETTER JOBS and HIGHER INCOMES than others do. I'm going to read you some possible explanations, and I want you to tell me how IMPORTANT you think each is. ============================================================================= V023065a L2c1. Why Bett Jobs:more able to learn ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people have more in-born ability to learn." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1. Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2. Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 1 128 3 129 5 89 8 1 ============================================================================= V023065b L2c2. Why Bett Jobs:discrimination ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because discrimination holds some people back." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1. Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2. Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 0 4 1 91 3 155 5 90 7 3 8 2 9 2 ============================================================================= V023065c L2c3. Why Bett Jobs: don't work as hard ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people just don"t work as hard." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1. Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2. Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 0 3 1 154 3 133 5 53 7 2 8 1 9 1 ============================================================================= V023065d L2c4. Why Bett Jobs:no chance at good ed ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people don"t get a chance to get a good education." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1.Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2.Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 1 191 3 111 5 39 7 3 8 2 9 1 ============================================================================= V023065e L2c5. Why Bett Jobs:choose low-pay jobs ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people just choose low-paying jobs." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1. Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2. Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 0 3 1 72 3 116 5 141 7 10 8 3 9 2 ============================================================================= V023065f L2c6. Why Bett Jobs:govt policies ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because government policies have helped high-income workers more." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1. Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2. Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 0 2 1 94 3 119 5 117 7 7 8 7 9 1 ============================================================================= V023065g L2c7. Why Bett Jobs:God made some differ ============================================================================= IF R SELECTED FOR L2c ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because God made people different from one another." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have better jobs and higher incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2c administration NOTES: ------ 1. Two orderings L2c series items were possible: L2c1,c2,c3,c4,c5,c6,c7 OR L2c2,c4,c5,c6,c3,c1,c7 2. Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the L2d closed list consists of L2d1,d2,d3,d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1164 0 6 1 81 3 65 5 184 7 7 8 1 ============================================================================= ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: Next, we'd like to know WHY you think it is, that in America today, some people have WORSE JOBS and LOWER INCOMES than others do. I'm going to read you some possible explanations, and I want you to tell me how IMPORTANT you think each is. ============================================================================= V023066a L2d1. Why Wrse Jobs:more able to learn ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people have more in-born ability to learn." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 1 125 3 150 5 82 7 5 8 3 9 1 ============================================================================= V023066b L2d2. Why Wrse Jobs:discrimination ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because discrimination holds some people back." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 0 1 1 93 3 177 5 88 7 4 8 2 9 1 ============================================================================= V023066c L2d3. Why Wrse Jobs:some don't work hard ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people just don"t work as hard." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 0 3 1 175 3 136 5 48 7 3 8 1 ============================================================================= V023066d L2d4. Why Wrse Jobs:no chance at good ed ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people don"t get a chance to get a good education." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 0 6 1 203 3 112 5 37 7 4 8 1 9 3 ============================================================================= V023066e L2d5. Why Wrse Jobs:choose low-pay jobs ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because some people just choose low-paying jobs." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 0 6 1 70 3 139 5 138 7 9 8 3 9 1 ============================================================================= V023066f L2d6. Why Wrse Jobs:govt policies ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because government policies have helped high-income workers more." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2c consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 0 3 1 92 3 127 5 127 7 9 8 5 9 3 ============================================================================= V023066g L2d7. Why Wrse Jobs:God made some differ ============================================================================= IF R SELECTED FOR L2d ADMINISTRATION: QUESTION: --------- [The first is:/(Next:)] "Because God made people different from one another." (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why some people have worse jobs and lower incomes than others do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R not selected for L2d administration NOTES: ------ Two orderings L2d series items were possible: L2d1,d2,d3,d4,d5,d6,d7 L2d2,d4,d5,d6,d3,d1,d7 Respondents were randomly assigned to one of the following: L2a - open-end reason some people have better jobs/income L2b - open-end reason some people have worse jobs/income L2c - closed list reasons some people have better jobs/income L2d - closed list reasons some people have worse jobs/income The closed list for L2d consists of questions L2c1,c2,c3,c4,c5, c6,c7; the closed list for L2d consists of questions L2d1,d2,d3, d4,d5,d6,d7. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1145 0 4 1 79 3 95 5 176 7 7 8 3 9 2 ============================================================================= V023067 L9a. Party Better for Poor People ============================================================================= QUESTION: --------- Which political party do you think is generally better for [poor/rich] people - the DEMOCRATS, the REPUBLICANS, or is there NOT MUCH DIFFERENCE between them? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Not much difference MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ L9a-L9b are randomly assigned to have a 1/2 sample administered with "poor" first and "rich" second. The other 1/2 sample administered reverse wording order ("rich" first and "poor" second). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 8 1 783 3 130 5 574 8 12 9 4 ============================================================================= V023068 L9b. Party Better for Rich People ============================================================================= QUESTION: --------- And which party do you think is generally better for [rich/poor] people - the DEMOCRATS, the REPUBLICANS, or is there NOT MUCH DIFFERENCE between them? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Not much difference MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ L9a-L9b are randomly assigned to have a 1/2 sample administered with "poor" first and "rich" second. The other 1/2 sample administered reverse wording order ("rich" first and "poor" second). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 3 1 82 3 845 5 560 8 16 9 5 ============================================================================= ============================================================================= Next are a few questions about federal income taxes. ============================================================================= V023069 L11a. R Pay Right Amount in Taxes ============================================================================= QUESTION: --------- Do you feel you are asked to pay MORE THAN YOU SHOULD in federal income taxes, about the RIGHT AMOUNT, or LESS THAN YOU SHOULD? VALID CODES: ------------ 1. More than should pay 3. About right 5. Less than should pay 7. Don't pay at all {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 16 1 720 3 694 5 55 7 22 8 4 ============================================================================= V023070 L11b. Rich Pay Right Amount in Taxes ============================================================================= QUESTION: --------- What about rich people? Do you feel rich people are asked to pay MORE THAN THEY SHOULD in federal income taxes, about the RIGHT AMOUNT, or LESS THAN THEY SHOULD? VALID CODES: ------------ 1. More than should pay 3. About right 5. Less than should pay 7. Don't pay at all {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ 1st 1/2 SAMPLE L11b ("rich") FIRST AND L11c ("poor") SECOND; 2nd 1/2 SAMPLE L11c ("poor") FIRST AND L11b ("rich") SECOND Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 6 1 226 3 444 5 812 8 22 9 1 ============================================================================= V023071 L11c. Poor Pay Right Amount in Taxes ============================================================================= QUESTION: --------- What about poor people? Do you feel poor people are asked to pay MORE THAN THEY SHOULD in federal income taxes, about the RIGHT AMOUNT, or LESS THAN THEY SHOULD? VALID CODES: ------------ 1. More than should pay 3. About right 5. Less than should pay 7. Don't pay at all {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ 1st 1/2 SAMPLE L11b ("rich") FIRST AND L11c ("poor") SECOND; 2nd 1/2 SAMPLE L11c ("poor") FIRST AND L11b ("rich") SECOND Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 7 1 644 3 702 5 121 7 14 8 22 9 1 ============================================================================= V023072 M1a. Attention to Corporate Scandals ============================================================================= QUESTION: --------- Over the last year, investigations into a number of large corporations such as Enron have found top executives to have exaggerated profits through shady accounting procedures. The executives received huge bonuses, but their companies went bankrupt and workers lost their jobs and retirement savings. How much attention would you say you"ve paid to those stories -- QUITE A LOT, SOME, JUST A LITTLE, or NONE AT ALL? VALID CODES: ------------ 1. Quite a lot 2. Some 3. Just a little 4. None MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 2 1 896 2 441 3 136 4 35 8 1 ============================================================================= V023073 M1a2. Made R Angry- Corporate Scandals ============================================================================= IF R PAID ATTENTION TO CORPORATE SCANDALS: QUESTION: --------- Have these stories ever made you angry? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 4,8,9,0 in M1a TYPE: ----- Numeric Dec 0 . 38 0 7 1 1296 5 168 9 2 ============================================================================= V023074 M1a3. How Many COs Affected by Scandal ============================================================================= IF R PAID ATTENTION TO CORPORATE SCANDALS: QUESTION: --------- How common do you think this problem is today: would you say it affects NEARLY ALL large U.S. companies, MANY, SOME, or JUST A FEW? VALID CODES: ------------ 1. Nearly all 2. Many 3. Some 4. Just a few MISSING CODES: -------------- 7. Haven't thought about {VOL} 8. Don't know 9. Refused 0. NA INAP. 4,8,9,0 in M1a TYPE: ----- Numeric Dec 0 . 38 0 1 1 168 2 756 3 407 4 134 7 1 8 6 ============================================================================= V023075 M1d. Which Pty Bett to Deal w/ Corp Scan ============================================================================= QUESTION: --------- Which party do you think would do a better job making sure that these problems do not continue to happen, the [DEMOCRATS/ REPUBLICANS], the [REPUBLICANS/DEMOCRATS], or WOULDN"T THERE BE MUCH DIFFERENCE between them? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Wouldn't be much difference 7. Neither {VOL} MISSING CODES: -------------- 8 Don't know 9. Refused 0. NA NOTES: ------ Respondents were randomly assigned to be administered Pre question M1d (party performance on corporate scandals) with either "Democrats" or "Republicans" read first. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 6 1 280 3 174 5 1035 7 3 8 13 ============================================================================= V023076 M2a. Favor 2001 Tax Cut-Combined Wording ============================================================================= QUESTION: --------- As you may recall, [Congress passed/President Bush signed] a big tax cut last year. Did you FAVOR or OPPOSE the tax cut, or is this something you haven"t thought about? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other/depends/neither {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 90. Haven't thought about NOTES: ------ This combines data from M2a1 and M2a2. See notes M2a1/M2a2. TYPE: ----- Numeric Dec 0 0 3 1 673 5 312 7 7 8 11 9 1 90 504 ============================================================================= V023076a M2a1. Favor 2001 Tax Cut-Cong Wording ============================================================================= IF R SELECTED FOR 'CONGRESS' WORDING: QUESTION: --------- As you may recall, [Congress passed/President Bush signed] a big tax cut last year. Did you FAVOR or OPPOSE the tax cut, or is this something you haven"t thought about? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other/depends/neither {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 90. Haven't thought about INAP. R not selected for this wording NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series were randomly assigned to the same wording). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 752 0 1 1 318 5 153 7 5 8 7 90 275 ============================================================================= V023076b M2a2. Favor 2001 Tax Cut-GW Bush Wording ============================================================================= IF R SELECTED FOR 'PRESIDENT BUSH' WORDING: QUESTION: --------- As you may recall, [Congress passed/President Bush signed] a big tax cut last year. Did you FAVOR or OPPOSE the tax cut, or is this something you haven"t thought about? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other/depends/neither {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 90. Haven't thought about INAP. R not selected for this wording NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series wee randomly assigned to the same wording). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 759 0 2 1 355 5 159 7 2 8 4 9 1 90 229 ============================================================================= V023077 M2b. How Much Favor/Opp Tax Cut ============================================================================= IF R FAVORED TAX CUT LAST YEAR:/ IF R OPPOSED TAX CUT LAST YEAR: QUESTION: --------- Did you [favor/oppose] the tax cut STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 7,8,9,90,0 in M2a NOTES: ------ See notes M2a1/M2a2. TYPE: ----- Numeric Dec 0 . 526 0 11 1 644 5 330 ============================================================================= V023077x M2bx. Summary 2001 Tax Cut:Combined Word ============================================================================= QUESTION: --------- As you may recall, [Congress passed/President Bush signed] a big tax cut last year. Did you FAVOR or OPPOSE the tax cut, or is this something you haven"t thought about? Did you [favor/oppose] the tax cut STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 6. Other; depends; neither (7 in M2a) 7. Haven't thought about it (90 in M2a) 8. Don't know in M2a or M2b 9. Refused in M2a or M2b 0. NA in M2a or M2b NOTES: ------ Built from M2a and M2b. See notes M2a1/M2a2. TYPE: ----- Numeric Dec 0 0 14 1 434 2 233 4 97 5 210 6 7 7 504 8 11 9 1 ============================================================================= V023078 M2c. Dem Pty Fav 2001 Tax Cut:Comb Word ============================================================================= QUESTION: --------- Do you happen to remember - did the Democratic Party FAVOR or OPPOSE the tax cut that [Congress passed/President Bush signed] last year? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 80. Don't remember {VOL} NOTES: ------ This combines data from M2c1 and M2c2. See notes M2c1/M2c2. TYPE: ----- Numeric Dec 0 0 4 1 152 5 739 7 3 8 36 9 2 ============================================================================= V023078a M2c1. Dem Pty Fav 2001 Tax Cut:Cong Word ============================================================================= IF R SELECTED FOR 'CONGRESS' WORDING: QUESTION: --------- Do you happen to remember - did the Democratic Party FAVOR or OPPOSE the tax cut that [Congress passed/President Bush signed] last year? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 80. Don't remember {VOL} INAP. R not selected for this wording NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series wee randomly assigned to the same wording). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 752 0 2 1 87 5 337 7 2 8 16 9 1 80 314 ============================================================================= V023078b M2c2. Dem Pty Fav 2001 Tax Cut:Pres Word ============================================================================= IF R SELECTED FOR 'PRESIDENT BUSH' WORDING: QUESTION: --------- Do you happen to remember - did the Democratic Party FAVOR or OPPOSE the tax cut that [Congress passed/President Bush signed] last year? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 80. Don't remember {VOL} INAP. R not selected for this wording NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series wee randomly assigned to the same wording). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 759 0 2 1 65 5 402 7 3 8 18 9 1 80 261 ============================================================================= V023079 M2e. Rep Pty Fav 2001 Tax Cut:Comb Word ============================================================================= QUESTION: --------- What about the Republican Party - did the Republican Party FAVOR or OPPOSE the tax cut that [Congress passed/President Bush signed] last year? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 80. Don't remember {VOL} NOTES: ------ This combines data from M2e1 and M2e2. See notes M2e1/M2e2. TYPE: ----- Numeric Dec 0 0 2 1 940 5 92 7 3 8 47 9 1 80 426 ============================================================================= V023079a M2e1. Rep Pty Fav 2001 Tax Cut:Cong Word ============================================================================= IF R SELECTED FOR 'CONGRESS' WORDING: QUESTION: --------- What about the Republican Party - did the Republican Party FAVOR or OPPOSE the tax cut that [Congress passed/President Bush signed] last year? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 80. Don't remember {VOL} INAP. R not selected for this wording NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series wee randomly assigned to the same wording). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 752 0 1 1 462 5 44 7 1 8 20 80 231 ============================================================================= V023079b M2e2. Rep Pty Fav 2001 Tax Cut:Pres Word ============================================================================= IF R SELECTED FOR 'PRESIDENT BUSH' WORDING: QUESTION: --------- What about the Republican Party - did the Republican Party FAVOR or OPPOSE the tax cut that [Congress passed/President Bush signed] last year? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 00. NA 80. Don't remember {VOL} INAP. R not selected for this wording NOTES: ------ Respondents were randomly assigned to alternate wording in the M2 tax cut series (all questions in the series wee randomly assigned to the same wording). Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 759 0 1 1 478 5 48 7 3 8 26 9 1 80 195 ============================================================================= V023080 M2n. How Important is Tax Cut Issue ============================================================================= QUESTION: --------- How important is this issue to you personally - VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL? VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ See notes M2a1/M2a2. TYPE: ----- Numeric Dec 0 0 2 1 447 3 856 5 200 8 4 9 2 ============================================================================= V023081 M2p. Has Tax Cut Issue Made R Angry ============================================================================= QUESTION: --------- Has this issue ever made you angry? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ See notes M2a1/M2a2. TYPE: ----- Numeric Dec 0 0 6 1 491 5 1004 8 10 ============================================================================= V023082 N1. Is Religion Important to R ============================================================================= QUESTION: --------- Now, on another topic. . . Do you consider religion to be an IMPORTANT part of your life, or NOT? VALID CODES: ------------ 1. Important 5. Not important MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 5 1 1151 5 353 9 2 ============================================================================= V023083 N1a. Religion Provide Guidance to R ============================================================================= IF R CONSIDERS RELIGION IMPORTANT: QUESTION: --------- Would you say your religion provides SOME guidance in your day- to-day living, QUITE A BIT of guidance, or A GREAT DEAL of guidance in your day-to-day life? VALID CODES: ------------ 1. Some 3. Quite a bit 5. A great deal MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 0,5,8,9 in N1 TYPE: ----- Numeric Dec 0 . 360 0 10 1 268 3 290 5 583 ============================================================================= V023084 N3. Does R Attend Relig Services ============================================================================= QUESTION: --------- Lots of things come up that keep people from attending religious services even if they want to. Thinking about your life these days, do you ever attend religious services, apart from occasional weddings, baptisms, or funerals? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 1 1 1064 5 440 8 4 9 2 ============================================================================= V023085 N3a. How Often Attend Relig Services ============================================================================= IF R EVER ATTENDS RELIGIOUS SERVICES: QUESTION: --------- Do you go to religious services EVERY WEEK, ALMOST EVERY WEEK, ONCE OR TWICE A MONTH, A FEW TIMES A YEAR, or NEVER? VALID CODES: ------------ 1. Every week 2. Almost every week 3. Once or twice a month 4. A few times a year 5. Never MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in N3 TYPE: ----- Numeric Dec 0 . 447 0 6 1 414 2 214 3 241 4 182 5 6 9 1 ============================================================================= V023086 N3a1. Once a Wk/More Often Attend Relig ============================================================================= IF R EVER ATTENDS RELIGIOUS SERVICES: IF R ATTENDS RELIGIOUS SERVICES EVERY WEEK: QUESTION: --------- Would you say you go to religious services ONCE A WEEK or MORE OFTEN THAN ONCE A WEEK? VALID CODES: ------------ 1. Once a week 2. More often than once a week MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in N3; 2-5,8,9,0 in N3a TYPE: ----- Numeric Dec 0 . 1097 0 5 1 215 2 194 ============================================================================= V023087 N4. Activities At Place of Worship ============================================================================= QUESTION: --------- Aside from attending services, in the PAST SIX MONTHS have you been an active member at your place of worship – I mean, have you done things like serve on committees, give time for special projects, or help organize meetings? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 3 1 485 5 1021 8 1 9 1 ============================================================================= V023088 N4a. Plan/Chair Meeting at Place Worship ============================================================================= IF R REPORTS BEING AN ACTIVE MEMBER AT R'S PLACE OF WORSHIP: QUESTION: --------- As part of these activities, have you planned or chaired a meeting (in the last six months)? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in N4 TYPE: ----- Numeric Dec 0 . 1026 0 2 1 231 5 251 8 1 ============================================================================= V023089 N4b. Presentation at Place Worship ============================================================================= IF R REPORTS BEING AN ACTIVE MEMBER AT R'S PLACE OF WORSHIP: QUESTION: --------- (As part of these activities,) have you given a presentation or speech (in the last six months)? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in N4 TYPE: ----- Numeric Dec 0 . 1026 0 2 1 215 5 266 8 1 9 1 ============================================================================= ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: Now for some other questions. Next, we'd like to know WHY you think it is, that in America today, [blacks/whites] tend to have [WORSE/BETTER] JOBS and [LOWER/HIGHER] INCOMES than [whites/blacks] do. I'm going to read you some possible explanations, and I want you to tell me how IMPORTANT you think each is. ============================================================================= V023090 P1a1. Whites Bett Jobs:more able to lrn ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because whites have more in-born ability to learn". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 3 1 21 3 46 5 260 7 37 8 6 9 3 ============================================================================= V023090a P1a2. Blacks Wrse Jobs: less able to lrn ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because whites have more in-born ability to learn". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 5 1 27 3 55 5 242 7 32 8 2 ============================================================================= V023091 P1b1. Whites Bett Jobs: discrimination ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because discrimination holds blacks back". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 1 1 60 3 202 5 102 7 8 8 1 9 2 ============================================================================= V023091a P1b2. Blacks Wrse Jobs:discrimination ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because discrimination holds blacks back". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 1 1 64 3 175 5 107 7 13 8 1 9 2 ============================================================================= V023092 P1c1. Whites Bett Jobs:blacks don't work ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because blacks just don"t work as hard". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 4 1 36 3 82 5 204 7 42 8 5 9 3 ============================================================================= V023092a P1c2. Blacks Wrse Jobs:blacks don't work ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because blacks just don"t work as hard". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 5 1 41 3 76 5 196 7 40 8 3 9 2 ============================================================================= V023093 P1d1. Whites Bett Jobs:chance at educ ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because blacks don"t get a chance to get a good education". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 7 1 104 3 147 5 94 7 19 8 3 9 2 ============================================================================= V023093a P1d2. Blacks Wrse Jobs:chance at educ ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because blacks don"t get a chance to get a good education". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 3 1 100 3 131 5 102 7 24 8 1 9 2 ============================================================================= V023094 P1e1. Whites Bett Jobs:blacks opt lowpay ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because blacks just choose low-paying jobs". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 6 1 39 3 101 5 197 7 28 8 4 9 1 ============================================================================= V023094a P1e2. Blacks Wrse Jobs:blacks opt lowpay ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because blacks just choose low-paying jobs". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 6 1 31 3 87 5 199 7 31 8 3 9 6 ============================================================================= V023095 P1f1. Whites Bett Jobs:govt policies ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because government policies have helped whites more". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 4 1 43 3 106 5 176 7 35 8 11 9 1 ============================================================================= V023095a P1f2. Blacks Wrse Jobs:govt policies ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because government policies have helped whites more". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 3 1 42 3 89 5 184 7 35 8 7 9 3 ============================================================================= V023096 P1g1. Whites Bett Jobs:God made some dif ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'WHITES BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because God made people different from one another". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1135 0 9 1 38 3 34 5 255 7 32 8 4 9 4 ============================================================================= V023096a P1g2. Blacks Wrse Jobs:God made some dif ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: IF R SELECTED FOR 'BLACKS WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because God made people different from one another". (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [blacks/ whites] tend to have [worse/better] jobs and [lower/higher] incomes than [whites/blacks] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by gender series P2; R selected for alternate wording for income inequality by race NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P1 series) were administered in one of two possible orders: P1a,b,c,d,e,f,g OR P1b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1148 0 6 1 42 3 51 5 231 7 25 8 3 9 5 ============================================================================= V023097 P1j. Blacks same Chance at Fair Trial ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: QUESTION: --------- Please tell me whether you agree or disagree with the following: "In the U.S. today, a black person has the same chance of getting a fair trial as a white person does." Do you AGREE, NEITHER AGREE NOR DISAGREE, or DISAGREE? VALID CODES: ------------ 1. Agree 3. Neither agree nor disagree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for gender inequality series P2 NOTES: ------ This question was asked of respondents assigned to either series for income inequality by race (P1) Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 772 0 16 1 279 3 151 5 290 8 2 9 1 ============================================================================= V023098 P1k. Which party better for Whites ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: QUESTION: --------- Which political party do you think is generally better for [white/black] people - the DEMOCRATS, the REPUBLICANS, or is there NOT MUCH DIFFERENCE BETWEEN THEM? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Not much difference between them MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for gender inequality series P2 NOTES: ------ P1k-P1m are randomly assigned to have a 1/2 sample administered with "white" first (in P1k) and "black" second (in P1m). The other 1/2 sample administered reverse wording order ("black" in P1k and "white" in P1m) This question was asked of respondents assigned to either series for income inequality by race (P1) Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 772 0 2 1 39 3 160 5 532 8 3 9 3 ============================================================================= V023099 P1m. Which party better for Blacks ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY RACE SERIES: QUESTION: --------- And which party do you think is generally better for [black/white] people - the DEMOCRATS, the REPUBLICANS, or is there NOT MUCH DIFFERENCE BETWEEN THEM? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Not much difference between them MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for gender inequality series P2 NOTES: ------ P1k-P1m are randomly assigned to have a 1/2 sample administered with "white" first (in P1k) and "black" second (in P1m). The other 1/2 sample administered reverse wording order ("black" in P1k and "white" in P1m) This question was asked of respondents assigned to either series for income inequality by race (P1) Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 772 1 304 3 36 5 387 8 7 9 5 ============================================================================= ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: Now for some other questions. Next, we'd like to know WHY you think it is, that in America today, [women/men] tend to have [WORSE/BETTER] JOBS and [LOWER/HIGHER] INCOMES than [men/women] do. I'm going to read you some possible explanations, and I want you to tell me how IMPORTANT you think each is. ============================================================================= V023100 P2a1. Women Wrse Jobs:less able to learn ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because men have more in-born ability to learn" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 2 1 20 3 47 5 284 7 40 8 2 9 3 ============================================================================= V023100a P2a2. Men Bett Jobs:more able to learn ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because men have more in-born ability to learn" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 2 1 32 3 30 5 270 7 36 8 1 9 3 ============================================================================= V023101 P2b1. Women Wrse Jobs:discrimination ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because discrimination holds women back" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 4 1 154 3 171 5 61 7 4 8 2 9 2 ============================================================================= V023101a P2b2. Men Bett Jobs:discrimination ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because discrimination holds women back" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 5 1 147 3 149 5 69 8 1 9 3 ============================================================================= V023102 P2c1. Women Wrse Jobs:women don't work ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because women just don"t work as hard" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 5 1 40 3 34 5 255 7 57 8 3 9 4 ============================================================================= V023102a P2c2. Men Bett Jobs:women don't work hrd ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because women just don"t work as hard" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 4 1 35 3 39 5 242 7 51 8 1 9 2 ============================================================================= V023103 P2d1. Women Wrse Jobs:chance at educ ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because women don"t get a chance to get a good education" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 2 1 61 3 119 5 172 7 39 8 2 9 3 ============================================================================= V023103a P2d2. Men Bett Jobs: chance at educ ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because women don"t get a chance to get a good education" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 3 1 79 3 78 5 186 7 24 8 2 9 2 ============================================================================= V023104 P2e1. Women Wrse Jobs:women opt low pay ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because women just choose low-paying jobs" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 4 1 41 3 89 5 219 7 39 8 4 9 2 ============================================================================= V023104a P2e2. Men Bett Jobs:women opt low pay ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because women just choose low-paying jobs" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 4 1 48 3 94 5 193 7 32 8 1 9 2 ============================================================================= V023105 P2f1. Women Wrse Jobs:govt policies ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because government policies have helped men more" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 3 1 95 3 123 5 147 7 17 8 10 9 3 ============================================================================= V023105a P2f2. Men Bett Jobs:govt policies ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because government policies have helped men more" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 4 1 82 3 124 5 140 7 15 8 6 9 3 ============================================================================= V023106 P2g1. Women Wrse Jobs:God made some diff ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'WOMEN WORSE JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because God made people different from one another" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1113 0 4 1 53 3 65 5 246 7 20 8 3 9 7 ============================================================================= V023106a P2g2. Men Bett Jobs:God made some diff ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: IF R SELECTED FOR 'MEN BETTER JOBS-INCOME' WORDING: QUESTION: --------- [The first is:/(Next:)] "Because God made people different from one another" (Would you say that this is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for why [women/ men] tend to have [worse/better] jobs and [lower/higher] incomes than [men/women] do ?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1; R selected for alternate wording for income inequality by gender NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1137 0 5 1 52 3 58 5 233 7 21 8 1 9 4 ============================================================================= V023107 P2j. Women Same Chance at Fair Trial ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: QUESTION: --------- Please tell me whether you agree or disagree with the following: "In the U.S. today, a woman has the same chance of a getting a fair trial as a man does." Do you AGREE, NEITHER AGREE NOR DISAGREE, or DISAGREE? VALID CODES: ------------ 1. Agree 3. Neither agree nor disagree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1 NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 739 0 4 1 509 3 145 5 111 8 3 ============================================================================= V023108 P2k. Which Party Better for Women ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: QUESTION: --------- Which political party do you think is generally better for [women/men] - the DEMOCRATS, the REPUBLICANS, or is there NOT MUCH DIFFERENCE BETWEEN THEM? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Not much difference between them MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1 NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 739 0 1 1 219 3 52 5 492 8 7 9 1 ============================================================================= V023109 P2m. Which Party Better for Men ============================================================================= IF R SELECTED FOR INCOME INEQUALITY BY GENDER SERIES: QUESTION: --------- And which party do you think is generally better for [men/women] - the DEMOCRATS, the REPUBLICANS, or is there NOT MUCH DIFFERENCE BETWEEN THEM? VALID CODES: ------------ 1. Democrats 3. Republicans 5. Not much difference between them MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for income inequality by race series P1 NOTES: ------ Respondents were randomly assigned to 1 of 4 race/gender income inequality series. Series 1: P1a1,b1,c1,d1,e1,f1,g1 ('whites better'), P1j,k,m Series 2: P1a2,b2,c2,d2,e2,f2,g2 ('blacks worse'), P1j,k,m Series 3: P2a1,b1,c1,d1,e1,f1,g1. ('women worse'), P2j,k,m Series 4: P2a2,b2,c2,d2,e2,f2,g2 ('men better'), P2j,k,m Reasons for inequality by race (either P2 series) were administered in one of two possible orders: P2a,b,c,d,e,f,g OR P2b,d,e,f,c,a,g Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 739 0 1 1 47 3 159 5 556 8 6 9 3 ============================================================================= V023110 Q1. Did R Vote in 2000 Pres Election ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Now I"d like to ask you a few questions about the 2000 Presidential election. In 2000 George W. Bush ran on the Republican ticket against Al Gore for the Democrats, and Ralph Nader as a third party candidate. Do you remember for sure whether or not you voted in that election? {DO NOT PROBE "DK" RESPONSE} VALID CODES: ------------ 1. Yes, voted 5. No, didn't vote MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 1 985 5 184 8 18 ============================================================================= V023111 Q1a. Who did R vote for in 2000 Pres Ele ============================================================================= IF PANEL RESPONDENT: IF R VOTED IN THE 2000 PRESIDENTIAL ELECTION: QUESTION: --------- Which one did you vote for? {DO NOT PROBE DK RESPONSE} VALID CODES: ------------ 1. Al Gore 3. George W. Bush 5. Ralph Nader 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent; 5,8,9 in Q1 NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 526 0 1 1 431 3 502 5 32 7 8 8 1 9 10 ============================================================================= V023112 Q2a. Remember 2000 Election Controversy ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Whether or not you voted, you might remember that the 2000 presidential election ended in a big controversy. What do you remember most about that? VALID CODES: ------------ 1. Text present 5. No text present MISSING CODES: -------------- INAP. Fresh Cross-Section respondent NOTES: ------ This variable flags cases with text recorded whether or not the text itself represents substantive response or opinion (including e.g. digressions, statement of no opinion or refusal etc.). Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 1 1166 5 21 ============================================================================= V023113 Q2c. 2000 Pres Election Fair or Unfair ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- All things considered, would you say that the 2000 presidential election was decided in a way that was FAIR or UNFAIR? VALID CODES: ------------ 1. Fair 5. Unfair MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 9 1 702 5 460 8 13 9 3 ============================================================================= V023114 Q2c1. How Fair/Unfair 2000 Election ============================================================================= IF PANEL RESPONDENT: IF R FELT 2000 PRESIDENTIAL ELECTION OUTCOME WAS FAIR / IF R FELT 2000 PRESIDENTIAL ELECTION OUTCOME WAS UNFAIR: QUESTION: --------- Do you feel STRONGLY or NOT STRONGLY that it was [fair/unfair]? VALID CODES: ------------ 1. Strongly 5. Not strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent; 8,9,0 in Q2c NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 349 0 3 1 848 5 308 8 3 ============================================================================= V023114x Q2cx. Summary: 2000 Pres Elect Fair ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- All things considered, would you say that the 2000 presidential election was decided in a way that was FAIR or UNFAIR? Do you feel STRONGLY or NOT STRONGLY that it was [fair/unfair]? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Built from Q2c and Q2c1. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 12 1 478 2 220 4 88 5 370 8 16 9 3 ============================================================================= ============================================================================= IF PANEL RESPONDENT: Now for another topic. As you know, on September 11th 2001, a group of terrorists took control of several U.S. commercial airplanes and crashed them into the World Trade Center in New York and the Pentagon in Washington. MISSING CODES: -------------- INAP. Fresh Cross-Section respondent ============================================================================= V023115 Q3b. Did R See World Trade Ctr Collapse ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Did you happen to see the collapse of the World Trade Center towers on live television AS IT WAS ACTUALLY HAPPENING? VALID CODES: ------------ 1. Yes 5. No 7. R witnessed in person MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 1 834 5 346 7 1 8 6 ============================================================================= V023116 Q3c. What Terrorists Wanted to Accom ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- What do you think the terrorists were trying to accomplish by their actions? VALID CODES: ------------ 1. Text present 5. No text present MISSING CODES: -------------- INAP. Fresh Cross-Section respondent NOTES: ------ This variable flags cases with text recorded whether or not the text itself represents substantive response or opinion (including e.g. digressions, statement of no opinion or refusal etc.). TYPE: ----- Numeric Dec 0 . 324 1 1163 5 24 ============================================================================= ============================================================================= IF PANEL RESPONDENT: Now I'm going to read you a short list of explanations people have suggested for September 11. I would like you to tell me how IMPORTANT you think each is in explaining the September 11th attack. MISSING CODES: -------------- INAP. Fresh Cross-Section respondent ============================================================================= V023117a Q3d1. 9/11 Reason - US Support Israel ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- [The first is:/(What about:)] "The United States" support of Israel." (Would you say that U.S. support of Israel is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for the terrorist attack on September 11?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ For Pre panel respondents, the Q3d series of questions (reasons for 9/11 attack) were asked in 1 of 2 possible orders, randomly assigned: Q3d1,d2,d5,d6 Q3d5,d6,d1,d2 Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 3 1 551 3 463 5 148 8 18 9 4 ============================================================================= V023117b Q3d2. 9/11 Reason - 1991 War w/ Iraq ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- [The first is:/(What about:)] "Desert Storm, the U.S. war against Iraq and Saddam Hussein in 1991" (Would you say that Desert Storm is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for the terrorist attack on September 11?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ For Pre panel respondents, the Q3d series of questions (reasons for 9/11 attack) were asked in 1 of 2 possible orders, randomly assigned: Q3d1,d2,d5,d6 Q3d5,d6,d1,d2 Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 2 1 384 3 520 5 257 7 1 8 23 ============================================================================= V023117c Q3d5. 9/11 Reason - Religious War ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- [The first is:/(What about:)] "To carry out a religious war" (Would you say that a religious war is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for the terrorist attack on September 11?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ For Pre panel respondents, the Q3d series of questions (reasons for 9/11 attack) were asked in 1 of 2 possible orders, randomly assigned: Q3d1,d2,d5,d6 Q3d5,d6,d1,d2 Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 8 1 386 3 383 5 387 7 3 8 18 9 2 ============================================================================= V023117d Q3d6. 9/11 Reason - US Immoral ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- [The first is:/(What about:)] "Because the terrorists believe that America is immoral" (Would you say that this belief about America is VERY important, SOMEWHAT important, or NOT IMPORTANT AT ALL as an explanation for the terrorist attack on September 11?) VALID CODES: ------------ 1. Very important 3. Somewhat important 5. Not important at all 7. Statement isn't true {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ For Pre panel respondents, the Q3d series of questions (reasons for 9/11 attack) were asked in 1 of 2 possible orders, randomly assigned: Q3d1,d2,d5,d6 Q3d5,d6,d1,d2 Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 7 1 490 3 396 5 256 7 15 8 17 9 6 ============================================================================= V023118 Q3e. How Likely Another Terrorist Attack ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- How likely do you think it is that the U.S. will suffer an attack as serious as the one in New York and Washington some time in the next 12 months? Would you say VERY LIKELY, SOMEWHAT LIKELY, SOMEWHAT UNLIKELY, or VERY UNLIKELY? VALID CODES: ------------ 1. Very Likely 2. Somewhat Likely 3. Somewhat Unlikely 4. Very Unlikely MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 7 1 227 2 564 3 288 4 95 8 5 9 1 ============================================================================= V023119 Q3g. Appr/Dis Bush-9-11Resp/Terrorism ============================================================================= QUESTION: --------- All things considered, do you APPROVE or DISAPPROVE of the way George W. Bush [is handling the war on terrorism/has responded to the terrorist attack of September 11]? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ This combines data from Q3g1 and Q3g2. Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre cases from the fresh cross-section were asked only Q3g questions. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 13 1 1180 5 300 8 15 9 3 ============================================================================= V023119a Q3g1a. Appr/Dis Bush-War on Terrorism ============================================================================= IF R SELECTED FOR 'WAR ON TERRORISM' WORDING: QUESTION: --------- All things considered, do you APPROVE or DISAPPROVE of the way George W. Bush [is handling the war on terrorism/has responded to the terrorist attack of September 11]? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for alternate wording NOTES: ------ Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre cases from the fresh cross-section were asked only Q3g questions. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 737 0 8 1 572 5 182 8 10 9 2 ============================================================================= V023119b Q3g1b. Appr/Dis Bush-9-11Response ============================================================================= IF R SELECTED FOR 'RESPONDED TO 9/11' WORDING: QUESTION: --------- All things considered, do you APPROVE or DISAPPROVE of the way George W. Bush [is handling the war on terrorism/has responded to the terrorist attack of September 11]? VALID CODES: ------------ 1. Approve 5. Disapprove MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for alternate wording NOTES: ------ Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre cases from the fresh cross-section were asked only Q3g questions. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 774 0 5 1 608 5 118 8 5 9 1 ============================================================================= V023119c Q3g2. How Much App/Dis Bush-9-11/Terror ============================================================================= IF R APPROVES GEORGE W. BUSH ON 9-11/WAR ON TERRORISM: / IF R DISAPPROVES GEORGE W. BUSH ON 9-11/WAR ON TERRORISM: QUESTION: --------- (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not Strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 8,9,0 in Q3g NOTES: ------ See notes Q3g. TYPE: ----- Numeric Dec 0 . 31 0 1 1 1091 5 384 8 3 9 1 ============================================================================= V023119x Q3gx. Summary:App Bush on Terrorism/9-11 ============================================================================= QUESTION: --------- All things considered, do you APPROVE or DISAPPROVE of the way George W. Bush [is handling the war on terrorism/has responded to the terrorist attack of September 11]? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ Built from Q3g1 and Q3g2. Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre cases from the fresh cross-section were asked only Q3g questions. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 0 14 1 895 2 283 4 101 5 196 8 18 9 4 ============================================================================= V023119y Q3gx1. Summary:App Bush on War on Terr ============================================================================= IF R SELECTED FOR 'WAR ON TERRORISM' WORDING: QUESTION: --------- All things considered, do you APPROVE or DISAPPROVE of the way George W. Bush is handling the war on terrorism? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for alternate wording NOTES: ------ Built from Q3g1 and Q3g2. Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre cases from the fresh cross-section were asked only Q3g questions. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 737 0 9 1 423 2 148 4 61 5 118 8 12 9 3 ============================================================================= V023119z Q3gx2. Summary:App Bush on 9-11 Response ============================================================================= IF R SELECTED FOR 'RESPONDED TO 9/11' WORDING: QUESTION: --------- All things considered, do you APPROVE or DISAPPROVE of the way George W. Bush has responded to the terrorist attack of September 11]? (Do you [approve/disapprove]) STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for alternate wording NOTES: ------ Built from Q3g1 and Q3g2. Respondents were randomly assigned to 1 of 2 possible wordings for Q3g (President Bush performance) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre cases from the fresh cross-section were asked only Q3g questions. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 774 0 5 1 472 2 135 4 40 5 78 8 6 9 1 ============================================================================= ============================================================================= IF PANEL RESPONDENT: After the September 11 terrorist attacks, President Bush declared a war on terrorism. A first step was to launch air strikes against the Taliban government of Afghanistan that was providing aid and protection to Osama bin Laden and the Al-Quaeda terrorists responsible for the September 11 attacks. ============================================================================= V023120 Q4a4. War in Afghanistan Worth Cost ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Taking everything into account, do you think the U.S. war against the Taliban government in Afghanistan was WORTH THE COST or NOT? VALID CODES: ------------ 1. Worth it 5. Not worth it MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Panel respondents were randomly assigned to be administered Q4a4 (whether war against the Taliban worth the cost) either before or after Q4a5 (is Bin Laden still alive) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 9 1 948 5 202 8 25 9 3 ============================================================================= V023121 Q4a5. Does R Think Bin Laden is Alive ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Do you think Osama bin Laden is still alive? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent NOTES: ------ Panel respondents were randomly assigned to be administered Q4a4 (whether war against the Taliban worth the cost) either before or after Q4a5 (is Bin Laden still alive) in the Pre. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 6 1 871 5 223 8 84 9 3 ============================================================================= V023122 Q4a6. Does R Fav/Opp Mil Action-Iraq ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- As you may know, President Bush and his top advisers are discussing the possibility of taking military action against Iraq to remove Saddam Hussein from power. Do you FAVOR or OPPOSE military action against Iraq -- or is this something you haven"t thought about? VALID CODES: ------------ 01. Favor 05. Oppose 07. Other; depends {VOL} {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 90. Haven't thought about it 00. NA INAP. Fresh Cross-Section respondent NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 17 1 637 5 334 7 41 8 17 9 3 90 138 ============================================================================= V023123 Q4a7a. How Much Fav/Opp Mil Action-Iraq ============================================================================= IF PANEL RESPONDENT: IF R FAVORS OR OPPOSES MILITARY ACTION AGAINST IRAQ: QUESTION: --------- Do you [favor/oppose] this policy STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Strongly 5. Not strongly MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross-Section respondent; 7,8,9,0,90 in Q4a6 NOTES: ------ Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 541 0 4 1 712 5 253 9 1 ============================================================================= V023123x Q4a7x. Summary:Fav/Opp Mil Action-Iraq ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- As you may know, President Bush and his top advisers are discussing the possibility of taking military action against Iraq to remove Saddam Hussein from power. Do you FAVOR or OPPOSE military action against Iraq -- or is this something you haven"t thought about? Do you [favor/oppose] this policy STRONGLY or NOT STRONGLY? VALID CODES: ------------ 1. Approve strongly 2. Approve not strongly 4. Disapprove not strongly 5. Disapprove strongly MISSING CODES: -------------- 6. Other; depends; neither (7 in M2a) 7. Haven't thought about it (90 in M2a) 8. Don't know in M2a or M2b 9. Refused in M2a or M2b 0. NA in M2a or M2b INAP. Fresh Cross-Section respondent NOTES: ------ Built from Q4a6 and Q4a7a. Pre panel cases were randomly assigned to be administered the Q1-Q2 questions on the 2000 election either before or after the Q3-Q4 questions on September 11. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 324 0 21 1 480 2 154 4 99 5 232 6 42 7 138 8 17 9 4 ============================================================================= V023124 R1a. Has R Shown Flag in Past 12 Mo ============================================================================= IF R SELECTED FOR R1 ADMINISTRATION: QUESTION: --------- In the PAST TWELVE MONTHS, have you flown an American flag or displayed the flag in some other way, such as in a window, or on your car, or on a T-shirt or other piece of clothing? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for J4 administration NOTES: ------ 1/2 SAMPLE PRE J4 (REMAINING 1/2 SAMPLE PRE R1) Patriotism items were randomly assigned to placement at J4a,d or R1a,d. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 768 1 644 5 97 9 2 ============================================================================= V023124x R1ax. Summary:Flag Display in Past 12 Mo ============================================================================= QUESTION: --------- In the PAST TWELVE MONTHS, have you flown an American flag or displayed the flag in some other way, such as in a window, or on your car, or on a T-shirt or other piece of clothing? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ This summarized data from Pre placements, J4a and R1a. See notes R1a. TYPE: ----- Numeric Dec 0 0 1 1 1312 5 196 9 2 ============================================================================= V023125 R1d. Things about US Make R Ashamed (2) ============================================================================= IF R SELECTED FOR R1 ADMINISTRATION: QUESTION: --------- Please tell me whether you agree or disagree with this statement: "There are some things about America today that make me feel ashamed of America." Do you AGREE, NEITHER AGREE NOR DISAGREE, or DISAGREE? VALID CODES: ------------ 1. Agree 3. Neither agree nor disagree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for J4 administration NOTES: ------ 1/2 SAMPLE PRE J4 (REMAINING 1/2 SAMPLE PRE R1) Patriotism items were randomly assigned to placement at J4a,d or R1a,d. Pre randomization variables (e.g. PreRand.C1), which precede Pre survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 768 1 311 3 101 5 329 8 2 ============================================================================= V023125x R1dx. Summary: US Make R Ashamed ============================================================================= QUESTION: --------- Please tell me whether you agree or disagree with this statement: "There are some things about America today that make me feel ashamed of America." Do you AGREE, NEITHER AGREE NOR DISAGREE, or DISAGREE? VALID CODES: ------------ 1. Agree 3. Neither agree nor disagree 5. Disagree MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA NOTES: ------ This summarizes data from both Pre placements, J4d and R1d. See notes R1d. TYPE: ----- Numeric Dec 0 0 2 1 639 3 196 5 668 8 3 9 3 ============================================================================= V023126a Y1a. Month of Birth - FRESH CROSS ============================================================================= IF FRESH CROSS: QUESTION: --------- Now, on a different topic. What is the month, day and year of your birth? VALID CODES: ------------ 01. JANUARY 02. FEBRUARY 03. MARCH 04. APRIL 05. MAY 06. JUNE 07. JULY 08. AUGUST 09. SEPTEMBER 10. OCTOBER 11. NOVEMBER 12. DECEMBER MISSING CODES: -------------- 89. Refused 00. NA INAP. Panel Respondent TYPE: ----- Numeric Dec 0 ============================================================================= V023126c Y1c. Year of Birth - FRESH CROSS ============================================================================= IF FRESH CROSS: QUESTION: --------- Now, on a different topic. What is the month, day and year of your birth? MISSING CODES: -------------- 8889. Refused INAP. Panel Respondent TYPE: ----- Numeric Dec 0 ============================================================================= V023126x Y1x. Summary: Respondent's Age ============================================================================= QUESTION: --------- Now, on a different topic. What is the month, day and year of your birth? MISSING CODES: -------------- 889. Refused 999. NA NOTES: ------ Calculated from year of birth Y1c. Age of Panel respondent included by adding 2 years to age recorded for 2002 Study. TYPE: ----- Numeric Dec 0 ============================================================================= V023127 Y2. R Marital Status - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- Are you MARRIED NOW and living with your spouse - or are you WIDOWED, DIVORCED, SEPARATED, or have you NEVER MARRIED? VALID CODES: ------------ 1. Married 2. Widowed 3. Divorced 4. Separated 5. Never married 6. Partnered, not married {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Panel Respondent TYPE: ----- Numeric Dec 0 . 1187 1 194 2 26 3 36 4 11 5 54 6 3 ============================================================================= V023127a Y2. R Marital Status - Panel 2000 status ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Are you MARRIED NOW and living with your spouse - or are you WIDOWED, DIVORCED, SEPARATED, or have you NEVER MARRIED? VALID CODES: ------------ 1. Married 2. Widowed 3. Divorced 4. Separated 5. Never married 6. Partnered, not married {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Panel Respondent NOTES: ------ This is 2000 data for 2002 Panel respondents. TYPE: ----- Numeric Dec . 324 0 1 1 671 2 108 3 145 4 38 5 186 6 33 8 1 9 4 ============================================================================= V023128 Y3. R Highest Grade of School - FRESH CR ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- What is the highest grade of school or year of college you completed? VALID CODES: ------------ 00-12 years 13-16 years 17. 17+ years MISSING CODES: -------------- 88. Don't know 89. Refused 99. NA INAP. Panel Respondent TYPE: ----- Numeric Dec 0 . 1187 0 2 5 1 6 1 7 2 8 4 9 3 10 4 11 4 12 80 13 35 14 46 15 18 16 59 17 63 99 2 ============================================================================= V023129 Y3a. R High School Diploma - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: IF R HAS 0-12 YRS OF ED. OR IF HIGHEST ED. LEVEL IS DK/RF/NA: QUESTION: --------- Did you get a high school diploma or pass a high school equivalency test? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 13-17 in Y3; Panel Respondent TYPE: ----- Numeric Dec 0 . 1408 0 1 1 84 5 18 ============================================================================= V023130 Y3b. R Highest Degree - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDNET: IF R HAS MORE THAN 12 YEARS OF EDUCATION: QUESTION: --------- What is the highest degree that you have earned? VALID CODES: ------------ 00. None (no degree) 01. BACHELOR'S DEGREE 02. MASTER'S DEGREE 03. PhD, LIT, SCD, DFA, DLIT, DPH, DPHIL, JSC, SJD 04. LLB, JD 05. MD, DDS, DVM, MVSA, DSC, DO 06. JDC, STD, THD 07. ASSOCIATE DEGREE (AA) MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA INAP. 00-12 in Y3; Panel Respondent TYPE: ----- Numeric Dec 0 . 1288 0 68 1 74 2 24 3 4 4 3 7 40 99 10 ============================================================================= V023131 Y3x. Summary: R Education ============================================================================= IF FRESH CROSS RESPONDNET: QUESTION: --------- What is the highest grade of school or year of college you completed? Did you get a high school diploma or pass a high school equivalency test? What is the highest degree that you have earned? VALID CODES: ------------ 1. 8 grades or less and no diploma or equivalency [0-8 in Y3, 5 in Y3a] 2. 9-11 grades, no further schooling (incl. 12 years without diploma or equivalency) [9-12 in Y3, 5 in Y3a] 3. High school diploma or equivalency test [0-12 in Y3, 1 in Y3a] 4. More than 12 years of schooling, no higher degree (13-17 in Y3, 00 in Y3b) 5. Junior or community college level degrees (AA degrees) (07 in Y3b) 6. BA level degrees; 17+ years, no advanced degree (01 in Y3b) 7. Advanced degree, including LLB [13-17 in Y3, 2-6 in Y3b] MISSING CODES: -------------- 9. Refused 0. NA in Y3, Y3a or Y3b NOTES: ------ Education summary data from the 2000 study has been added for Panel respondents. TYPE: ----- Numeric Dec 0 0 2 1 36 2 70 3 399 4 313 5 155 6 347 7 178 9 11 ============================================================================= V023132 Y4. R Employment Status - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- We"d like to know if you are working now, or are you unemployed, retired, (a homemaker), (a student), or what? {MULTIPLE RESPONSES} VALID CODES: ------------ 001. working now 002. temporarily laid off 003. unemployed 004. retired 005. permanently disabled 006. homemaker 007. Student 014. working now and retired 016. working now and homemaker 046. retired and homemaker 146. working now retired and homemaker MISSING CODES: -------------- 999. Refused 000. NA INAP. Panel Respondent NOTES: ------ The maximum number of mentions was 3 (1 case). TYPE: ----- Numeric Dec 0 . 1187 0 4 1 201 2 1 3 18 4 62 5 5 6 13 7 4 14 2 16 9 46 4 146 1 ============================================================================= V023132x Y4x. Pre/Post Employment Status Summary ============================================================================= QUESTION: --------- We"d like to know if you are working now, or are you unemployed, retired, a homemaker, (a student), or what? {MULTIPLE RESPONSES} VALID CODES: ------------ 001. Working now 002. Temporarily laid off 003. Unemployed 004. Retired 005. Permanently disabled 006. Homemaker 007. Student 014. Working now and retired 016. Working now and homemaker 017. Working now and student 026. Temporarily laid off and homemaker 034. Unemployed and retired 035. Unemployed and permanently disabled 036. Unemployed and homemaker 045. Retired and permanently disabled 046. Retired and homemaker 047. Retired and student 067. Homemaker and student 146. Working now, retired, and homemaker 167. Working now, homemaker, and student 467. Retired, homemaker, and student MISSING CODES: -------------- 000. NA INAP. No 2002 Post interview (Panel only) NOTES: ------ Built from Pre Y4 (Fresh Cross) and Post Y4 (Panel; duplicates data found in V83). TYPE: ----- Numeric Dec 0 . 117 0 33 1 819 2 2 3 53 4 289 5 16 6 71 7 15 14 17 16 21 17 20 26 1 34 1 35 2 36 1 45 7 46 17 47 1 67 2 146 1 167 3 ============================================================================= V023133 Y6. Labor Union Membership - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- Does anyone in this household belong to a labor union? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Panel Respondent TYPE: ----- Numeric Dec 0 . 1187 1 56 5 267 9 1 ============================================================================= V023133a Y6. Labor Union Membership 2000 ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- Does anyone in this household belong to a labor union? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross Respondent NOTES: ------ This is 2000 data for Panel respondents. TYPE: ----- Numeric Dec . 324 0 1 1 180 5 1001 8 5 ============================================================================= V023134 Y6a. Who Belongs to Labor Union - FRESH ============================================================================= IF FRESH CROSS RESPONDENT: IF SOMEONE IN R'S HOUSEHOLD BELONGS TO A LABOR UNION: QUESTION: --------- Who is it that belongs? VALID CODES: ------------ 01. Respondent 02. Respondent's spouse 03. Other family member {SPECIFY} 04. Someone else {SPECIFY} 12. Respondent and spouse 14. Respondent and other family member MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in Y6; Panel Respondent NOTES: ------ The maximum number of mentions was 2. TYPE: ----- Numeric Dec 0 . 1455 1 31 2 14 3 3 4 2 12 5 14 1 ============================================================================= V023134a Y6a(1). 2000 Who Belongs to Labor Union ============================================================================= IF PANEL: IF SOMEONE IN R'S HOUSEHOLD BELONGS TO A LABOR UNION: QUESTION: --------- Who is it that belongs? VALID CODES: ------------ 1. Respondent 2. Respondent's spouse 3. Someone else 4. R and spouse 5. R and someone else 6. R's spouse and someone else 7. R, spouse, and someone else MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Fresh Cross respondent NOTES: ------ This summarizes 2000 data for Panel Rs. TYPE: ----- Numeric Dec . 1331 1 101 2 56 3 12 4 8 5 2 9 1 ============================================================================= V023135 Y7. Religious Preference - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- Is your religious preference PROTESTANT, ROMAN CATHOLIC, JEWISH, or something else? VALID CODES: ------------ 00. None/Atheist/Agnostic 01. Protestant 02. Roman Catholic 03. Jewish 07. Other {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA INAP. Panel Respondent TYPE: ----- Numeric Dec 0 . 1187 0 16 1 123 2 81 3 4 7 95 8 1 9 3 99 1 ============================================================================= V023136 Y7a. Religious Denomination FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: IF R'S RELIGIOUS PREFERENCE IS PROTESTANT OR "OTHER": QUESTION: --------- What church or denomination is that? {CODE MENTION. IF UNSURE CODE "OTHER" AND SPECIFY R"S RESPONSE} VALID CODES: ------------ 00. Non-denominational Christian 01. Baptist 02. Episcopalian/Anglican/Church of England 03. Lutheran 04. Methodist 05. Just Protestant; Protestant DK/NA type 06. Presbyterian 07. Reformed 08. Brethren 09. Evangelical United Brethren 10. Christian or Just Christian 11. Christian Scientist 12. Church (Or Churches) of Christ 13. United Church of Christ 14. Disciples of Christ 15. Church of God 16. Assembly of God 17. Congregationalist 18. Holiness 19. Pentecostal 20. Friends, Quaker 21. Orthodox, E.g. Greek, Russian {SPECIFY} 22. Non-denominational - Protestant 23. Mormons 24. Jehovah's Witnesses 25. Latter Day Saints 26. Unitarian/universalist 27. Seventh day Adventist 30. Christian NA denomination 35. Buddhist 45. Hindu 55. Muslim/Islam 65. Native American 87. Other {SPECIFY} MISSING CODES: -------------- 88. Don't know 89. Refused 99. NA INAP. 00,02,03,08,09,99 in Y7; Panel Respondent TYPE: ----- Numeric Dec 0 . 1293 0 6 1 50 2 7 3 13 4 37 5 1 6 9 7 1 8 1 10 13 12 10 13 4 15 3 16 5 17 1 18 2 19 8 21 3 22 8 23 1 24 3 25 1 26 4 27 1 30 1 35 2 87 16 88 3 89 3 99 1 ============================================================================= V023137 Y7a1. Southern Baptist/Oth (FRESH CROSS) ============================================================================= IF FRESH CROSS: IF R'S RELIGIOUS PREFERENCE IS PROTESTANT OR "OTHER": IF R IDENTIFIES AS BAPTIST: QUESTION: --------- 2000: Is that SOUTHERN BAPTIST or SOMETHING ELSE? 2002: With which Baptist group is your church associated? Is it the Southern Baptist Convention, the American Baptist Churches in the U.S.A., the American Baptist Association, an independent Baptist church or some other Baptist group? VALID CODES: ------------ 1. Southern Baptist 7. Something else MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 00,02,03,08,09,99 in Y7; 00,02-87,88,89,99 in Y7a; Panel Respondent NOTES: ------ Data from 2000 has been added for Panel cases. TYPE: ----- Numeric Dec 0 . 1273 0 2 1 115 7 110 8 11 ============================================================================= V023138 Y7x1. R Religion Summary 1 ============================================================================= QUESTION: --------- 2002: Is your religious preference PROTESTANT, ROMAN CATHOLIC, JEWISH, or something else? 2000: (IF R ATTENDS RELIGIOUS SERVICES:) Do you mostly attend a place of worship that is Protestant, Roman Catholic, Jewish, or something else? / (IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION:) Do you consider yourself Protestant, Roman Catholic, Jewish, or something else? VALID CODES: ------------ 00. None incl. atheist/agnostic 01. Protestant 02. Roman Catholic 03. Jewish 07. Other {SPECIFY} MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA INAP. R refused or NA whether attends church (2000) NOTES: ------ 2002: Built from Y7 and Y7a. 2000: Built from 2000 Summary variable. Note the change in question flow, which especially affects cases coded 0. In 2000, code 0 includes cases of Rs who said they did not attend church and who then answered 'No' when asked if they thought of themselves as part of a church or denomination. TYPE: ----- Numeric Dec 0 . 5 0 171 1 843 2 393 3 38 7 49 8 3 9 8 99 1 ============================================================================= V023138a Y7x2. R Religion Summary 2 ============================================================================= QUESTION: --------- 2002: Is your religious preference PROTESTANT, ROMAN CATHOLIC, JEWISH, or something else? What church or denomination is that? 2000: (IF R ATTENDS RELIGIOUS SERVICES:) Do you mostly attend a place of worship that is Protestant, Roman Catholic, Jewish, or something else? What church or denomination is that? / (IF R DOES NOT ATTEND CHURCH BUT THINKS OF SELF AS PART OF CHURCH OR DENOMINATION:) Do you consider yourself Protestant, Roman Catholic, Jewish, or something else? What Church or Denomination is that? VALID CODES: ------------ 00. Non-denominational Christian 01. Baptist 02. Episcopalian/Anglican/church of England 03. Lutheran 04. Methodist 05. Just Protestant; Protestant DK/RF/NA denomination; other Protestant 06. Presbyterian 07. Reformed 08. Brethren 09. Evangelical United Brethren 10. Christian or Just Christian 11. Christian Scientist 12. Church (Or Churches) of Christ 13. United Church of Christ 14. Disciples of Christ 15. Church of God 16. Assembly of God 17. Congregationalist 18. Holiness 19. Pentecostal 20. Friends, Quaker; Anabaptist; Mennonite 21. Orthodox, E.g. Greek, Russian {SPECIFY} 22. Non-denominational - Protestant 23. Mormons 24. Jehovah's Witnesses 25. Latter Day Saints 26. Unitarian/universalism 27. Seventh day Adventist 30. Christian NA denomination 32. Roman Catholic 35. Buddhist 40. Jewish 45. Hindu 55. Muslim/Islam 65. Native American 77. Other {SPECIFY} 80. None incl. agnostic/atheist (in 2000, includes cases of Rs who said they did not attend church and who then answered 'No' when asked if they thought of themselves as part of a church or denomination) MISSING CODES: -------------- 88. Don't know 89. Refused 99. NA INAP. R refused or NA whether attends church (2000) NOTES: ------ Fresh Cross: Built from Y7 and Y7a. Panel: Built from 2000 Religious identification summary. Please note the change in question flow, which especially affects cases coded 'None (incl. agnostic/atheist'. TYPE: ----- Numeric Dec ============================================================================= V023139 Z1. How Long in Community - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- How long have you lived in your present community? VALID CODES: ------------ 000. Less than 1 year 001. 13-18 months 002. 19-24 months; 2 years 003-097 years 098. All my life MISSING CODES: -------------- 888. Don't know 889. Refused 999. NA INAP. Panel Respondent NOTES: ------ Years are rounded to the next highest year if months are more than 6. TYPE: ----- Numeric Dec 0 ============================================================================= V023139a Z1a. 2000 Study Num Years in Community ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- VALID CODES: ------------ 000. Less than 1 year 001. 13-18 months 002. 19-24 months; 2 years 003-097 years 098. All my life MISSING CODES: -------------- 888. Don't know 889. Refused 999. NA INAP. Fresh Cross-Section respondent NOTES: ------ This is Panel respondent's reported status in 2000. TYPE: ----- Numeric Dec 0 ============================================================================= V023140 Z2. How Long in Home - FRESH CROSS ============================================================================= IF FRESH CROSS RESPONDENT: QUESTION: --------- How long have you lived in your current home? VALID CODES: ------------ 000. Less than 1 year 001. 13-18 months 002. 19-24 months; 2 years 003-097 years 098. All my life MISSING CODES: -------------- 888. Don't know 889. Refused 999. NA INAP. Panel Respondent NOTES: ------ Years are rounded to the next highest year if months are more than 6. Note: case ID 1128 has indicated a number of years greater in R's home than in R's community. TYPE: ----- Numeric Dec 0 ============================================================================= V023140a Z2a. 2000 Study Num Years in House-PANEL ============================================================================= IF PANEL RESPONDENT: QUESTION: --------- VALID CODES: ------------ 000. Less than 1 year 001. 13-18 months 002. 19-24 months; 2 years 003-097 years 098. All my life MISSING CODES: -------------- 888. Don't know 889. Refused 999. NA INAP. Fresh Cross-Section Respondent NOTES: ------ This is Panel respondent's reported status in 2000. TYPE: ----- Numeric Dec 0 ============================================================================= V023141 Z3. Family Own Home or Rent ============================================================================= QUESTION: --------- {IF PANEL: Now on a different topic.} (Do you/Does your family) own your home, pay rent, or what? VALID CODES: ------------ 1. Own house 5. Pay rent 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 5 1 1176 5 311 7 17 9 2 ============================================================================= V023142 Z4. R Have Money in Stock Market ============================================================================= QUESTION: --------- Do you personally (or jointly with a spouse), have any MONEY INVESTED IN THE STOCK MARKET RIGHT NOW -- either in an individual stock or in a mutual fund? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 1 944 5 556 8 1 9 10 ============================================================================= V023143 Z5b. Family Medicare Benefits ============================================================================= QUESTION: --------- Do you (or any family member living with you) CURRENTLY receive payments from: Medicare? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 2 1 251 5 1254 8 2 9 2 ============================================================================= V023144 Z5c. Family Medicaid Benefits ============================================================================= QUESTION: --------- Do you (or any family member living with you) CURRENTLY receive payments from: Medicaid? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 2 1 88 5 1413 8 6 9 2 ============================================================================= V023145 Z5g. Family Retirement Account/Pension ============================================================================= QUESTION: --------- Do you (or any family member living with you) CURRENTLY have retirement savings either in a pension plan or a retirement account, like an IRA? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 0 2 1 1071 5 419 8 11 9 8 ============================================================================= ============================================================================= We are interested in how people are getting along financially these days. The next questions are about the total income of all members of your family living in your house in 2001, before taxes and other deductions. The figure should include salaries, wages, pensions, dividends, interest, and all other income. ============================================================================= V023146 Z6a. Is Fam Income More/Less than 50K ============================================================================= QUESTION: --------- Is your total household income less than $50,000 or more than $50,000? {PROBE IF NEEDED: What would be your best guess?} VALID CODES: ------------ 1. Less than $50,000 3. More than $50,000 7. Income was (about) $50,000 {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA TYPE: ----- Numeric Dec 0 1 701 3 745 7 12 8 6 9 47 ============================================================================= V023147 Z6b. Category Fam Income More Than 50K ============================================================================= IF R'S TOTAL HOUSEHOLD INCOME IS MORE THAN $50,000: QUESTION: --------- Which category best describes your total household income: $50,000-$64,999, $65,000-$84,999, or more than $84,999? {PROBE IF NEEDED: What would be your best guess?} VALID CODES: ------------ 1. $50,000-$64,999 3. $65,000-$84,999 5. More than $84,999 MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,7,8,9,0 in Z6a TYPE: ----- Numeric Dec 0 . 766 1 205 3 232 5 297 8 2 9 9 ============================================================================= V023148 Z6c. Category Fam Income Less Than 50K ============================================================================= IF R'S TOTAL HOUSEHOLD INCOME IS LESS THAN $50,000: QUESTION: --------- Which category best describes your total household income: $0-$14,999, $15,000-$34,999, or $35,000-$49,999? {PROBE IF NEEDED: What would be your best guess?} VALID CODES: ------------ 1. $0-$14,999 3. $15,000-$34,999 5. $35,000-$49,999 MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 3,7,8,9,0 in Z6a TYPE: ----- Numeric Dec 0 . 810 0 1 1 136 3 319 5 228 8 8 9 9 ============================================================================= V023149 Z6x. Summary: Household Income ============================================================================= QUESTION: --------- We are interested in how people are getting along financially these days. The next questions are about the total income of all members of your family living in your house in 2001, before taxes and other deductions. The figure should include salaries, wages, pensions, dividends, interest, and all other income. Is your total household income less than $50,000 or more than $50,000? {PROBE IF NEEDED: What would be your best guess?} Which category best describes your total household income: $50,000-$64,999, $65,000-$84,999, or more than $84,999? {PROBE IF NEEDED: What would be your best guess?} Which category best describes your total household income: $0-$14,999, $15,000-$34,999, or $35,000-$49,999? {PROBE IF NEEDED: What would be your best guess?} VALID CODES: ------------ 01. $0 -$14,999 02. $15,000-$34,999 03. $35,000-$49,999 04. Just about $50,000 [VOL] 05. $50,000-$64,999 06. $65,000-$84,999 07. More than $84,999 08. Less than $50,000 - DK/NA/RF additional subcategorizaton 09. More than $50,000 - DK/NA/RF additional subcategorization MISSING CODES: -------------- 88. Don't know household income (8 in Z6a) 89. Refused household income (9 in Z6a) 00. NA (0 in Z6a) NOTES: ------ Built from Z6a, Z6b and Z6c. TYPE: ----- Numeric Dec 0 1 136 2 319 3 228 4 12 5 205 6 232 7 297 8 18 9 11 88 6 89 47 ============================================================================= V023150 Z7x. Race Summary ============================================================================= QUESTION: --------- What racial or ethnic group or groups best describes you? Are you of Spanish or Hispanic origin or descent? VALID CODES: ------------ 01. Black only mentioned 02. Asian/Pacific Islander only mentioned 03. Native American only mentioned 04. Hispanic only mentioned 05. White only mentioned 12. Black and Asian/Pacific Islander mentioned 13. Black and Native American mentioned 14. Black and Hispanic mentioned 15. Black and White mentioned 23. Asian/Pacific Islander and Native American mentioned 24. Asian/Pacific Islander and Hispanic mentioned 25. Asian/Pacific Islander and White mentioned 34. Native American and Hispanic mentioned 35. Native American and White mentioned 45. Hispanic and White mentioned 77. Other (not codeable elsewhere) including 3 or more racial groups MISSING CODES: -------------- 88. Don't know 89. Refused 99. NA NOTES: ------ Constructed from Z7a-Z7e, text of Z7f, and Z9. For Panel cases, data from 2000 are included. TYPE: ----- Numeric Dec 1 137 2 26 3 10 4 66 5 1182 12 4 13 3 14 3 15 5 24 2 25 1 34 1 35 16 45 22 77 22 88 4 89 6 99 1 ============================================================================= V023150a Z7a. Mention Black: R Racial Groups ============================================================================= IF FRESH CROSS: QUESTION: --------- What racial or ethnic group or groups best describes you? {MULTIPLE MENTIONS} VALID CODES: ------------ 1. Mentioned 5. Not mentioned MISSING CODES: -------------- 8. Don't know 9. Refused to answer question 0. NA INAP. Panel Respondent NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 . 1187 1 39 5 281 8 2 9 2 ============================================================================= V023150b Z7b. Mention Asian: R Racial Groups ============================================================================= IF FRESH CROSS: QUESTION: --------- What racial or ethnic group or groups best describes you? {MULTIPLE MENTIONS} VALID CODES: ------------ 1. Mentioned 5. Not mentioned MISSING CODES: -------------- 8. Don't know 9. Refused to answer question 0. NA INAP. Panel Respondent NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 . 1187 1 8 5 312 8 2 9 2 ============================================================================= V023150c Z7c. Mention Native Am: R Racial Groups ============================================================================= IF FRESH CROSS: QUESTION: --------- What racial or ethnic group or groups best describes you? {MULTIPLE MENTIONS} VALID CODES: ------------ 1. Mentioned 5. Not mentioned MISSING CODES: -------------- 8. Don't know 9. Refused to answer question 0. NA INAP. Panel Respondent NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 . 1187 1 9 5 311 8 2 9 2 ============================================================================= V023150d Z7d. Mention Hispanic: R Racial Groups ============================================================================= IF FRESH CROSS: QUESTION: --------- What racial or ethnic group or groups best describes you? {MULTIPLE MENTIONS} VALID CODES: ------------ 1. Mentioned 5. Not mentioned MISSING CODES: -------------- 8. Don't know 9. Refused to answer question 0. NA INAP. Panel Respondent NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 . 1187 1 16 5 304 8 2 9 2 ============================================================================= V023150e Z7e. Mention White: R Racial Groups ============================================================================= IF FRESH CROSS: QUESTION: --------- What racial or ethnic group or groups best describes you? {MULTIPLE MENTIONS} VALID CODES: ------------ 1. Mentioned 5. Not mentioned MISSING CODES: -------------- 8. Don't know 9. Refused to answer question 0. NA INAP. Panel Respondent NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 . 1187 1 258 5 62 8 2 9 2 ============================================================================= V023150f Z7f. Mention Other: R Racial Groups ============================================================================= IF FRESH CROSS: QUESTION: --------- What racial or ethnic group or groups best describes you? {MULTIPLE MENTIONS} VALID CODES: ------------ 1. Mentioned 5. Not mentioned MISSING CODES: -------------- 8. Don't know 9. Refused to answer question 0. NA INAP. Panel Respondent NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 . 1187 1 19 5 301 8 2 9 2 ============================================================================= V023151 Z9. R Hispanic ============================================================================= IF FRESH CROSS: QUESTION: --------- {IF HISPANIC OR LATINO MENTIONED FOR RACE, CODE AND DO NOT ASK, OTHERWISE ASK:} Are you of Spanish or Hispanic origin or descent? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. Panel Respondent NOTES: ------ Panel data from the 2000 Study have been included. TYPE: ----- Numeric Dec 0 0 1 1 90 5 1414 8 3 9 3 ============================================================================= V023152 Z9a. Type Hispanic R ============================================================================= IF FRESH CROSS: IF R IDENTIFIES AS BEING OF SPANISH OR HISPANIC ORIGIN OR DESCENT: QUESTION: --------- Would you describe your Hispanic origin as MEXICAN, PUERTO RICAN, CUBAN, LATIN AMERICA, CENTRAL AMERICAN, or SPANISH? VALID CODES: ------------ 1. Mexican 2. Puerto Rican 3. Cuban 4. Latin American 5. Central American 6. Spanish 7. Other {VOL} {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in Z9; Panel Respondent NOTES: ------ Panel data from the 2000 Study have been included. TYPE: ----- Numeric Dec 0 . 1421 1 30 2 15 3 3 4 7 5 6 6 23 7 6 ============================================================================= V023153 Z10. R Gender ============================================================================= QUESTION: --------- {ASK ONLY IF UNSURE, OTHERWISE CODE WITHOUT ASKING:} Finally, are you MALE or FEMALE? VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 9. Refused 0. NA TYPE: ----- Numeric Dec 0 1 664 2 847 ============================================================================= V023154 ZZ4. IWR: R Cooperation ============================================================================= QUESTION: --------- R"s cooperation was: VALID CODES: ------------ 1. Very good 2. Good 3. Fair 4. Poor 5. Very poor MISSING CODES: -------------- 0. NA TYPE: ----- Numeric Dec 0 0 1 1 1085 2 319 3 86 4 13 5 7 ============================================================================= V023155 ZZ5. IWR: R Level of Information ============================================================================= QUESTION: --------- R"s general level of information about politics and public affairs seemed: VALID CODES: ------------ 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low MISSING CODES: -------------- 0. NA TYPE: ----- Numeric Dec 0 0 10 1 394 2 534 3 448 4 94 5 31 ============================================================================= V023156 ZZ6. IWR: R Intelligence ============================================================================= QUESTION: --------- R"s apparent intelligence: VALID CODES: ------------ 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low MISSING CODES: -------------- 0. NA TYPE: ----- Numeric Dec 0 0 7 1 420 2 590 3 423 4 62 5 9 ============================================================================= V023157 ZZ7. IWR: How Suspicious Was R ============================================================================= QUESTION: --------- How suspicious did R seem to be about the study before the interview?: VALID CODES: ------------ 1. Not at all suspicious 3. Somewhat suspicious 5. Very suspicious MISSING CODES: -------------- 0. NA TYPE: ----- Numeric Dec 0 0 20 1 1343 3 133 5 15 ============================================================================= V023158 ZZ8. IWR: R Interest in Interview ============================================================================= QUESTION: --------- Overall, how great was R"s interest in the interview? VALID CODES: ------------ 1. Very high 2. Fairly high 3. Average 4. Fairly low 5. Very low MISSING CODES: -------------- 0. NA TYPE: ----- Numeric Dec 0 0 4 1 577 2 530 3 342 4 45 5 13 ============================================================================= V023159 ZZ9. IWR: How Sincere Was R ============================================================================= QUESTION: --------- How sincere did R seem to be in his/her answers? VALID CODES: ------------ 1. Completely sincere 3. Usually sincere 5. Often seemed to be insincere MISSING CODES: -------------- 0. NA TYPE: ----- Numeric Dec 0 0 10 1 1295 3 189 5 17 ============================================================================= V023160 ZZ9a. IWR: Parts Where Doubt R Sincerity ============================================================================= IF IWR REPORTED THAT R WAS USUALLY SINCERE:/ IF IWR REPORTED THAT R OFTEN SEEMED TO BE INSINCERE: QUESTION: --------- Were there any particular parts of the interview for which you doubted R"s sincerity? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 0. NA INAP. 1,0 in ZZ9 TYPE: ----- Numeric Dec 0 . 1305 0 7 1 65 5 134 ============================================================================= V023161 ZZ10. IWR: R Reported Income Accurately ============================================================================= QUESTION: --------- Do you feel R reported income accurately? VALID CODES: ------------ 1. Yes, think R reported correctly 2. No, think R reported incorrectly 3. Refused income questions 5. No, think R reported dishonestly MISSING CODES: -------------- 8. Don't know 0. NA TYPE: ----- Numeric Dec 0 0 12 1 1410 2 25 3 51 5 5 8 8 ============================================================================= V023162 ZZ10a. IWR: Estimate R Family Income ============================================================================= IF IWR DID NOT FEEL R REPORTED INCOME CORRECTLY :/ IF R REFUSED INCOME QUESTIONS OR DK/NA IF REPORTED CORRECTLY: QUESTION: --------- If possible, give a reasonable estimate of what R"s family income is (before taxes in 2001). MISSING CODES: -------------- 888888. DK 000000. NA INAP. 1 in ZZ10 NOTES: ------ Coded in 1000s of dollars (range 10,000-90,000) TYPE: ----- Numeric Dec 0 . 1410 0 7 10000 3 15000 1 25000 3 30000 12 35000 2 40000 4 45000 4 47000 1 50000 5 51000 1 55000 2 60000 8 65000 1 70000 1 75000 1 78000 1 90000 1 888888 43 ============================================================================= V023163 ZZ11a. IWR: Estimate R Age ============================================================================= QUESTION: --------- What would you estimate R"s age to be? VALID CODES: ------------ 97. 97 and older MISSING CODES: -------------- 98. Hard to guess {SPECIFY} 00. NA NOTES: ------ Coded 18-96 and: TYPE: ----- Numeric Dec 0 0 3 18 2 19 3 20 13 21 4 22 11 23 9 24 10 25 46 26 6 27 2 28 28 29 3 30 77 31 3 32 19 33 11 34 7 35 146 36 14 37 12 38 18 39 5 40 162 41 3 42 21 43 9 44 3 45 144 46 10 47 13 48 11 49 4 50 128 51 3 52 9 53 6 54 5 55 79 56 5 57 4 58 9 59 6 60 78 61 2 62 14 63 6 64 4 65 85 66 4 67 7 68 7 69 1 70 47 71 1 72 7 73 6 74 3 75 31 76 3 77 1 78 7 79 1 80 34 81 3 82 2 83 3 84 1 85 8 86 1 87 2 89 1 90 3 91 1 97 1 98 50 ============================================================================= V023164 ZZ11b. IWR: Estimate R Education ============================================================================= QUESTION: --------- What would you estimate R"s level of education to be? VALID CODES: ------------ 1. Low - probably less than high school diploma 2. Probably has a high school diploma but probably no college 3. Probably a little college 4. Probably a college degree MISSING CODES: -------------- 8. Hard to guess {SPECIFY} 0. NA TYPE: ----- Numeric Dec 0 0 2 1 69 2 419 3 383 4 623 8 15 ============================================================================= V023165a ZZ12a. IWR:IW Rxns- Negative General ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "Negative - general" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 16 5 1495 ============================================================================= V023165b ZZ12b. IWR:IW Rxns-Too Long ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "Negative - too long" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 51 5 1460 ============================================================================= V023165c ZZ12c. IWR:IW Rxns-Too Complicated ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "Negative - too complicated" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 45 5 1466 ============================================================================= V023165d ZZ12d. IWR:IW Rxns-Boring/Tedious ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "Negative - boring/tedious/repetitious" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 33 5 1478 ============================================================================= V023165e ZZ12e. IWR:IW Rxns-Wanted to Stop ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R wanted to stop before interview completed. After starting the interview R made comments indicating he/she regretted having agreed to be interviewed" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 21 5 1490 ============================================================================= V023165f ZZ12f. IWR:IW Rxns- Ill/Deaf/Tired ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R complained and/or interviewer observed that R was ill/deaf/tired/had bad eyesight etc.; interview was obviously hard for R" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 17 5 1494 ============================================================================= V023165g ZZ12g. IWR:IW Rxns-Confused ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R complained and/or interviewer observed that R was confused by questions "couldn't understand the scales"; interview was obviously hard for R" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 163 5 1348 ============================================================================= V023165h ZZ12h. IWR:IW Rxns-Lack of Knowledge ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of knowledge or own suitability for interview" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 35 5 1476 ============================================================================= V023165j ZZ12j. IWR:IW Rxns-Lack Political Knwldg ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R expressed (especially repeatedly) doubts/apologies/ embarrassment over lack of POLITICAL knowledge" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 82 5 1429 ============================================================================= V023165k ZZ12k. IWR:IW Rxns-Agitated by Process ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R was agitated or stressed by interview PROCESS" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 44 5 1467 ============================================================================= V023165m ZZ12m. IWR:IW Rxns-Angry at Content ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R became angry at interview CONTENT" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 30 5 1481 ============================================================================= V023165n ZZ12n. IWR:IW Rxns-Sampling Concerns ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "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. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 15 5 1496 ============================================================================= V023165p ZZ12p. IWR:IW Rxns- Positive ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "R appeared to enjoy the interview (R was "cooperative" /"interested"/"pleasant" etc.)" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 925 5 586 ============================================================================= V023165q ZZ12q. IWR:IW Rxns- Neutral/None ============================================================================= QUESTION: --------- R"s reaction to interview {MULTIPLE MENTIONS} VALID CODES: ------------ 1. "Neutral or no feedback (1st mention only)" 5. Not checked by interviewer MISSING CODES: -------------- 0. NA NOTES: ------ Order in which mentions were made is not available. TYPE: ----- Numeric Dec 0 1 371 5 1140 ============================================================================= V023168 PROB1. Problem 1 Recorded ============================================================================= QUESTION: --------- Is there any difficulty administering an interview by phone to this R? {EXAMPLES: hard of hearing, illness that makes it difficult for R to stay on the phone very long, etc.} VALID CODES: ------------ 1. Yes {SPECIFY} 5. No MISSING CODES: -------------- 9. Refused 0. NA TYPE: ----- Numeric Dec 0 1 153 5 1358 ============================================================================= V024000 PostAdmin.0. Form of Post interview ============================================================================= QUESTION: --------- Form of 2002 Post Interview VALID CODES: ------------ 01. D3 - K4 - L1 - M5 race - M11 open 02 D3 - K4 - L1 - M5 race - M11 closed 03. D3 - K4 - L1 - M6 gend - M11 open 04. D3 - K4 - L1 - M6 gend - M11 closed 05. D3 - K4 - L2 - M5 race - M11 open 06. D3 - K4 - L2 - M5 race - M11 closed 07. D3 - K4 - L1 - M5 race - M11 open 08. D3 - K4 - L2 - M6 gend - M11 open 09. D3 - K4 - L2 - M6 gend - M11 closed 10. D3 - K5 - L1 - M5 race - M11 open 11. D3 - K5 - L1 - M5 race - M11 closed 12. D3 - K5 - L1 - M6 gend - M11 open 13. D3 - K5 - L1 - M6 gend - M11 closed 14. D3 - K5 - L2 - M5 race - M11 open 15. D3 - K5 - L2 - M6 gend - M11 open 16. D3 - K5 - L2 - M5 race - M11 closed 17. D3 - K5 - L2 - M6 gend - M11 open 18. D3 - K5 - L2 - M6 gend - M11 closed 19. D4 - K4 - L1 - M5 race - M11 open 20. D4 - K4 - L1 - M5 race - M11 closed 21. D4 - K4 - L1 - M6 gend - M11 open 22. D4 - K4 - L1 - M6 gend - M11 closed 23. D4 - K4 - L2 - M5 race - M11 open 24. D4 - K4 - L2 - M5 race - M11 closed 25. D4 - K4 - L1 - M5 race - M11 open 26. D4 - K4 - L2 - M6 gend - M11 open 27. D4 - K4 - L2 - M6 gend - M11 closed 28. D4 - K5 - L1 - M5 race - M11 open 29. D4 - K5 - L1 - M5 race - M11 closed 30. D4 - K5 - L1 - M6 gend - M11 open 31. D4 - K5 - L1 - M6 gend - M11 closed 32. D4 - K5 - L2 - M5 race - M11 open 33. D4 - K5 - L2 - M6 gend - M11 open 34. D4 - K5 - L2 - M5 race - M11 closed 35. D4 - K5 - L2 - M6 gend - M11 closed 36. D4 - K5 - L2 - M6 gend - M11 closed MISSING CODES: -------------- INAP. No Post interview NOTES: ------ Aside from various randomly assigned wording and placement/order options, the following content options were randomly assigned to 1/2 samples in the Post: 1- either D3 or D4 Bush Traits questions 2- either K4 or K5 social trust item 3- either L1 series or L2 series Federal spending items 4- either M5 affirmative action or M6 equal pay items 5- M11 general income inequality as openend (M11c/M11d)or as closed series (M11a/M11b) [each has wording variants] Note that for the spending items and income inequality options, the alternate option had been assigned to the pre. TYPE: ----- Numeric Dec ============================================================================= V024001 PostAdmin.1. Release ============================================================================= QUESTION: --------- Post Release number VALID CODES: ------------ 1. There was a single release in the Post MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec ============================================================================= V024002 PostAdmin.2. Mode ============================================================================= QUESTION: --------- Post Mode VALID CODES: ------------ 1. Telephone MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec ============================================================================= V024003 PostAdmin.3. Number of calls ============================================================================= QUESTION: --------- Post number of calls NOTES: ------ 1-25 TYPE: ----- Numeric Dec ============================================================================= V024004 PostAdmin.4. Result ============================================================================= QUESTION: --------- Post Result VALID CODES: ------------ 01. Completion 05. Refusal 60. Phone Not in service or new number 61. No contact - no answer/answering device/busy/barrier 68. "Never Available"/refusals NOTES: ------ Because few cases were ever removed from callback status, most cases with final disposition "never available" may be considered as, in fact, refusals. TYPE: ----- Numeric Dec . 1346 60 18 61 33 68 114 ============================================================================= V024005 PostAdmin.5. Language ============================================================================= QUESTION: --------- Post language VALID CODES: ------------ 1. English MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec ============================================================================= V024006 PostAdmin.6. Verification ============================================================================= QUESTION: --------- Post interview verification VALID CODES: ------------ 5. No verification MISSING CODES: -------------- INAP. No Post interview NOTES: ------ There was no verification of interviews at the interviewing facility. TYPE: ----- Numeric Dec ============================================================================= V024007 PostAdmin.7. Evaluation ============================================================================= QUESTION: --------- Post interview evaluation VALID CODES: ------------ 5. No evaluation MISSING CODES: -------------- INAP. No Post interview NOTES: ------ There was no evaluation of interviews at the interviewing facility. TYPE: ----- Numeric Dec ============================================================================= V024008 PostAdmin.8. Tape recorded ============================================================================= QUESTION: --------- Post interview tape-recorded VALID CODES: ------------ 1. Tape recorded 5. Not tape recorded MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec . 165 1 1 5 1345 ============================================================================= V024009 PostAdmin.9. Interviewed in parts ============================================================================= QUESTION: --------- Post interview in parts VALID CODES: ------------ 1. Interviewed in parts (multiple sessions) 5. Not interviewed in parts (1 session) MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec . 165 1 79 5 1267 ============================================================================= V024010 PostAdmin.10. Number of parts ============================================================================= IF PRE INTERVIEW CONDUCTED IN PARTS: QUESTION: --------- Post number of parts MISSING CODES: -------------- INAP. Interview not conducted in parts; no Post interview NOTES: ------ 1-5 TYPE: ----- Numeric Dec ============================================================================= V024011 PostAdmin.11. Number of interviewers ============================================================================= QUESTION: --------- Post number of interviewers MISSING CODES: -------------- INAP. No Post interview NOTES: ------ This is the number of interviewers used on the case (1-5). TYPE: ----- Numeric Dec ============================================================================= V024012a PostAdmin.12a. Beginning month ============================================================================= QUESTION: --------- Post interview - beginning month VALID CODES: ------------ 11. November 12. December MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec . 165 11 1326 12 20 ============================================================================= V024012b PostAdmin.12b. Beginning day ============================================================================= QUESTION: --------- Post interview - beginning day MISSING CODES: -------------- INAP. No Post interview NOTES: ------ 1-30 TYPE: ----- Numeric Dec ============================================================================= V024012c PostAdmin.12c. Beginning month and day ============================================================================= QUESTION: --------- Post interview - beginning month and day (MMDD) NOTES: ------ This is a character variable TYPE: ----- Character ============================================================================= V024012d PostAdmin.12d. Days after election ============================================================================= QUESTION: --------- Post Interview - Number of days after election MISSING CODES: -------------- 00. NA NOTES: ------ Based on beginning date of interview TYPE: ----- Numeric Dec ============================================================================= V024013a PostAdmin.13a. Ending month ============================================================================= QUESTION: --------- Post interview - ending month VALID CODES: ------------ 11. November 12. December MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec . 165 11 1321 12 25 ============================================================================= V024013b PostAdmin.13b. Ending day ============================================================================= QUESTION: --------- Post interview - ending day MISSING CODES: -------------- INAP. No Post interview NOTES: ------ 1-30 TYPE: ----- Numeric Dec ============================================================================= V024013c PostAdmin.13c. Ending month and day ============================================================================= QUESTION: --------- Post interview - ending month and day (MMDD) NOTES: ------ This is a character variable TYPE: ----- Character ============================================================================= V024014 PostAdmin.14. Pre Address given ============================================================================= QUESTION: --------- Post payment address given? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- INAP. No Post interview TYPE: ----- Numeric Dec . 165 1 1344 5 2 ============================================================================= V024015 PostAdmin.15. Payment mode ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Post payment mode VALID CODES: ------------ 1. Check MISSING CODES: -------------- INAP. 5 in PostAdmin.14; no Post interview TYPE: ----- Numeric Dec ============================================================================= V024016 PostAdmin.16. Payment amount ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Post payment amount VALID CODES: ------------ 20. Twenty dollars 40. Forty dollars 50. Fifty dollars MISSING CODES: -------------- INAP. 5 in PostAdmin.14; no Post interview TYPE: ----- Numeric Dec . 167 20 1039 40 33 50 272 ============================================================================= V024017a PostAdmin.17a. Month payment mailed ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Date Post payment mailed - month VALID CODES: ------------ 11. November 12. December MISSING CODES: -------------- INAP. 5 in PostAdmin.14; no Post interview TYPE: ----- Numeric Dec . 167 11 946 12 398 ============================================================================= V024017b PostAdmin.17b. Day payment mailed ============================================================================= IF PRE PAYMENT ADDRESS GIVEN: QUESTION: --------- Date Post payment mailed - day MISSING CODES: -------------- INAP. 5 in PostAdmin.14; no Post interview NOTES: ------ 1-31 TYPE: ----- Numeric Dec ============================================================================= V024018 PostAdmin.18. Pre Interview Length ============================================================================= QUESTION: --------- Post Interview Length MISSING CODES: -------------- 0. NA INAP. No Post interview NOTES: ------ This is length in minutes. TYPE: ----- Numeric Dec ============================================================================= V024019 PostAdmin.19. Pre Interviewer IW Number ============================================================================= QUESTION: --------- Post Interviewer"s Interview Number MISSING CODES: -------------- 0. NA INAP. No Post interview NOTES: ------ The interviewer's interviews are numbered by beginning date. TYPE: ----- Numeric Dec . 165 0 10 1 333 2 296 3 214 4 155 5 112 6 84 7 54 8 38 9 28 10 13 11 6 12 3 ============================================================================= V024020 PostAdmin.20. Post persuasion letter ============================================================================= QUESTION: --------- Post Persuasion letter VALID CODES: ------------ 1. No persuasion letter sent in the Post MISSING CODES: -------------- INAP. No Post interview NOTES: ------ No persuasion letters were sent in the Post TYPE: ----- Numeric Dec ============================================================================= V024024 IWR.1. Post IWR of Record ============================================================================= QUESTION: --------- POST Interviewer of Record MISSING CODES: -------------- 000. NA INAP. No Post interview NOTES: ------ Interviewer ID number is coded and: TYPE: ----- Numeric Dec ============================================================================= V024025 IWR.2. Post IWR Gender ============================================================================= QUESTION: --------- POST Interviewer Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- 0. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 239 1 478 2 629 ============================================================================= V024026 IWR.3. Post IWR Education Level ============================================================================= QUESTION: --------- POST Interviewer Education Level (highest education) VALID CODES: ------------ 1. 1-8 grades 2. Some high school 3. High school graduate 4. Some college 5. College degree 6. Master's degree 7. Ph.D MISSING CODES: -------------- 0. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 227 3 64 4 496 5 456 6 97 7 6 ============================================================================= V024027 IWR.4. Post IWR Race ============================================================================= QUESTION: --------- POST Interviewer Race VALID CODES: ------------ 1. White 2. Black 3. Native American 4. Asian 5. Other MISSING CODES: -------------- 0. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 257 1 965 2 85 3 1 4 21 5 17 ============================================================================= V024027a IWR.4a. Post IWR Ethnicity ============================================================================= QUESTION: --------- POST Interviewer Ethnicity VALID CODES: ------------ 0. No ethnicity mentioned 1. Hispanic 7. Other MISSING CODES: -------------- 9. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 973 1 57 7 33 9 283 ============================================================================= V024028 IWR.5. Post IWR languages ============================================================================= QUESTION: --------- POST Interviewer Languages VALID CODES: ------------ 0. No languages spoken 1. Spanish 7. Other MISSING CODES: -------------- 9. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 705 1 149 7 261 9 231 ============================================================================= V024029 IWR.6. Post IWR experience ============================================================================= QUESTION: --------- POST Interviewer Experience VALID CODES: ------------ 00. None 01. 1 Year or less 02. 13-23 Months 03. 2 years 04. 4 years 05. 5 years 06. 6 years 07. 7 years 08. 8 years 09. 9 years MISSING CODES: -------------- 99. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 165 1 859 2 69 3 7 9 12 99 234 ============================================================================= V024030 IWR.7. Post IWR Age ============================================================================= QUESTION: --------- POST Interviewer Age (age groups) VALID CODES: ------------ 1. 18-34 years 2. 35-40 years 3. 41-45 years 4. 46-50 years 5. 51-55 years 6. 56-60 years 7. 61-64 years 8. 65-79 years MISSING CODES: -------------- 0. NA INAP. No Post interview NOTES: ------ This describes the Post interviewer of record. Interviewer characteristics were self-descriptions provided by interviewers. TYPE: ----- Numeric Dec . 165 0 231 1 833 2 67 3 60 4 129 6 23 8 3 ============================================================================= V024201 PostSummary.1. Flag misassigned preload ============================================================================= QUESTION: --------- Flag misassigned preload VALID CODES: ------------ 1. District preload incorrect (NY03 correct; NY04 preloaded) 2. County preload incorrect (district correct) 3. No preload misassignment NOTES: ------ This variable flags 1 case where the preload district assignment was incorrect, and 2 cases where the preload county was misidentified but for which district assignment was still correct. TYPE: ----- Numeric Dec . 165 1 1 2 2 3 1343 ============================================================================= V024202 PostSummary.2. Panel Flag-candidate same ============================================================================= QUESTION: --------- Panel: 2002 House candidate preload names same as 2000 preload names? VALID CODES: ------------ 00. Neither 2002 Democratic candidate preload name nor 2002 Republican candidate preload name was preloaded in 2000 01. 2002 Democratic preload name same as in 2000 02. 2002 Republican preload name same as in 2000 03. Both Democratic and Republican candidates same 2000-2002 04. 2002 Democratic Retiring Representative name was preloaded in 2000 as Democratic candidate name 05. 2002 Republican Retiring Representative name was preloaded in 2000 as Democratic candidate name 15. Democrat preload same and 2002 retiring Republican was preloaded in 2000 24. Republican preload same and 2002 retiring Democrat was preloaded in 2000 MISSING CODES: -------------- INAP. Fresh cross case NOTES: ------ This determines whether the House candidate name(s) preloaded into the 2002 Post instrument were the same as the House candidate names that had been preloaded into the NES 2000 Post. Note: Due to redistricting, district number for nonmovers may not be the same in 2000-2002; names of candidates were compared to construct this summary. TYPE: ----- Numeric Dec . 324 0 338 1 314 2 385 3 95 4 22 5 28 15 5 ============================================================================= V024202a PostSummary.2a. Panel 2000 District ============================================================================= QUESTON: -------- Panel - 2000 district number MISSING CODES: -------------- INAP. Fresh Cross case NOTES: ------ Due to redistricting, district number for nonmovers may not be the same in 2002 as it was in 2000. 9996=case with misidentified district number in 2000. TYPE: ----- Numeric Dec ============================================================================= V024401 PostRand.C1. Rand C1a/C1b Voter Turnout ============================================================================= QUESTION: --------- RANDOMIZED PREASSIGNMENT - C1a/C1b VOTER TURNOUT VALID CODES: ------------ 1. C1a 2. C1b MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly preassigned to either C1a or C1b in the Pre (alternate versions of vote turnout question). TYPE: ----- Numeric Dec . 165 1 672 2 674 ============================================================================= V024402 PostRand.Vote. Rand Order-Dem/Rep Cands ============================================================================= QUESTION: --------- RANDOMIZED ORDER - DEM/REPUB CANDIDATE NAMES IN VOTE SECTION VALID CODES: ------------ 1. Democratic name first, Republican name second 2. Republican name first, Democratic name second MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the order to which the names of major party candidates were randomly preassigned for reading in the text of House and Senate vote-choice and nonvoter preference questions. This preassigned order did not actually apply if only a single major party candidate ran (major party candidate name always read before any independent/third-party name, if any). TYPE: ----- Numeric Dec . 165 1 698 2 648 ============================================================================= V024403 PostRand.D1. Rand of D1 Thermometers ============================================================================= QUESTION: --------- RANDOMIZATION OF D1 THERMOMETERS VALID CODES: ------------ 1. D1a,D1g,D1h,D1j,D1m,D1m1,D1k 2. D1a,D1h,D1g,D1j,D1k,D1m,D1m1 MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer). Note: This is a randomly pre-assigned order; not all thermometers apply to every respondent. TYPE: ----- Numeric Dec . 165 1 694 2 652 ============================================================================= V024404 PostRand.D2. Rand of D2 Thermometers ============================================================================= QUESTION: --------- RANDOMIZATION OF D2 THERMOMETERS VALID CODES: ------------ 1. D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z 2. D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Group thermometers (D2) were administered in one of two possible orders. TYPE: ----- Numeric Dec . 165 1 713 2 633 ============================================================================= V024405 PostRand.D3/D4. Rand Select D3/D4 Traits ============================================================================= QUESTION: --------- RANDOMIZED SELECTION D3/D4 TRAITS VALID CODES: ------------ 1. R administered D3 traits 2. R administered D4 traits MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. TYPE: ----- Numeric Dec . 165 1 681 2 665 ============================================================================= V024406 PostRand.D3. Rand Order D3 Bush Traits ============================================================================= QUESTION: --------- RANDOMIZATION - ORDER OF D3 BUSH TRAITS VALID CODES: ------------ 1. D3a,b,c,d 2. D3a,d,c,b MISSING CODES: -------------- INAP. R selected for D4 traits; no 2002 Post interview NOTES: ------ George W. Bush traits questions in D3 were randomly assigned to 1 of 2 possible sequential orders. TYPE: ----- Numeric Dec . 165 1 634 2 712 ============================================================================= V024407 PostRand.D4. Rand Order D4 Bush Traits ============================================================================= QUESTION: --------- RANDOMIZATION - ORDER OF D4 BUSH TRAITS VALID CODES: ------------ 1. D4a,b,c,d 2. D4a,d,c,b MISSING CODES: -------------- INAP. R selected for D3 traits; no 2002 Post interview NOTES: ------ George W. Bush traits questions in D4 were randomly assigned to 1 of 2 possible sequential orders. TYPE: ----- Numeric Dec . 165 1 680 2 666 ============================================================================= V024408 PostRand.G1a/b. Rand Order of G1a/b ============================================================================= QUESTION: --------- RANDOMIZATION ORDER OF G1a/b VALID CODES: ------------ 1. G1a Democratic House cand 1st, G1b Republican House cand 2nd 2. G1b Republican House cand 1st, G1a Democratic House cand 2nd MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly preassigned to be administered major party liberal-conservative House candidate placements with either the Democrat or Republican first. TYPE: ----- Numeric Dec . 165 1 689 2 657 ============================================================================= V024409 PostRand.K4/K5. Rand Selection of K4/K5 ============================================================================= QUESTION: --------- RANDOMIZED SELECTION K4/K5 VALID CODES: ------------ 1. K4 selected (people take advantage) 2. K5 selected (people try to be helpful) MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to either K4 or K5 (trust in people). TYPE: ----- Numeric Dec . 165 1 668 2 678 ============================================================================= V024410 PostRand.L1/L2. Rand Assign L1/L2 Fed Sp ============================================================================= QUESTION: --------- RANDOMIZED ASSIGNMENT L1/L2 FEDERAL SPENDING VALID CODES: ------------ 1. L2 series in Post (K1 series in Pre) 2. L1 series in Post (K2 series in Pre) MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to one of the following: - K1 series in Pre, L2 series in Post - K2 series in Pre, L1 series in Post This variable describes the Post assignment based on this randomized selection. Note: With the exception of the addition for defense spending, Post series L1 includes the same questions as Pre series K1; with the exception of the addition for defense spending, Post series L2 includes the same questions as Pre series K2. TYPE: ----- Numeric Dec . 165 1 692 2 654 ============================================================================= V024411 PostRand.L1. Rand Post L1 Series ============================================================================= QUESTION: --------- RANDOMIZATION POST L1 SERIES VALID CODES: ------------ 1. L1a,b,c,d,e,f,g,h,j 2. L1a,b,h,f,c,d,g,j,e MISSING CODES: -------------- INAP. R selected for Post L2 series; no 2002 Post interview NOTES: ------ This variable describes the order of administration of Post L1 series Federal spending items. Two orderings were possible. TYPE: ----- Numeric Dec . 165 1 679 2 667 ============================================================================= V024412 PostRand.L1e. Rand Post L1e Wording ============================================================================= QUESTION: --------- RANDOMIZATION POST L1e WORDING VALID CODES: ------------ 1. "Public schools" 2. "Big city schools" MISSING CODES: -------------- INAP. R selected for Post L1 series; no 2002 Post interview NOTES: ------ This variable describes the random assignment of wording in Federal spending item L1e in the Pre. TYPE: ----- Numeric Dec . 165 1 678 2 668 ============================================================================= V024413 PostRand.L1h. Rand Post L1h Wording ============================================================================= QUESTION: --------- RANDOMIZATION POST L1h WORDING VALID CODES: ------------ 1. "Homeland security" 2. "War on terrorism" MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the random assignment of wording in Federal spending item L1h in the Pre. TYPE: ----- Numeric Dec . 165 1 667 2 679 ============================================================================= V024414 PostRand.L2. Rand Post L2 Series ============================================================================= QUESTION: --------- RANDOMIZATION POST L2 SERIES VALID CODES: ------------ 1. L2a,b,c,d,e,f,g,h,j 2. L2a,b,h,f,c,d,g,j,e MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the order of administration of Post L2 series Federal spending items. Two orderings were possible. TYPE: ----- Numeric Dec . 165 1 690 2 656 ============================================================================= V024415 PostRand.L2c. Rand Post L2c Wording ============================================================================= QUESTION: --------- RANDOMIZATION POST L2c WORDING VALID CODES: ------------ 1. "Poor people" 2. "Working poor" MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the random assignment of wording in Federal spending item L2c in the Pre. TYPE: ----- Numeric Dec . 165 1 678 ============================================================================= V024416 PostRand.L2j. Rand Post L2j Wording ============================================================================= QUESTION: --------- RANDOMIZATION POST L2j WORDING VALID CODES: ------------ 1. "Poor children" 2. "Black children" MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the random assignment of wording in Federal spending item L2j in the Pre. TYPE: ----- Numeric Dec . 165 1 684 2 662 ============================================================================= V024417 PostRand.M5/M6. Randomized Assign M5/M6 ============================================================================= QUESTION: --------- RANDOMIZED ASSIGNMENT M5/M6 VALID CODES: ------------ 1. M5a,b,c,d asked in Post (P1 in pre) 2. M6a,b,c,d asked in Post (P2 in Pre) MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to one of the following: - P1 income inequality by race in Pre; M5a,b,c,d affirmative action items in Post - P2 income inequality by gender in Pre; M6a,b,c,d equal pay for women in Post This variable describes the Post assignment based on this randomized selection. Note: this Pre/Post randomization description applies regardless of which alternative wording of P1/P2 was randomly selected in the Pre. TYPE: ----- Numeric Dec . 165 1 656 2 690 ============================================================================= V024418 PostRand.M5a/b. Random Order M5a/b ============================================================================= QUESTION: --------- RANDOMIZATION ORDER OF M5a/b VALID CODES: ------------ 1. M5a Democratic Party first, M5b Republican Party second 2. M5b Republican Party first, M5a Democratic Party second MISSING CODES: -------------- INAP. R selected for M6a,b,c,d; no 2002 Post interview NOTES: ------ Respondents were administered affirmative action items M5a (position of Democratic Party) and M5b (position of Republican Party) in random order. TYPE: ----- Numeric Dec . 165 1 636 2 710 ============================================================================= V024419 PostRand.M6a/b. Random Order M6a/b ============================================================================= QUESTION: --------- RANDOMIZATION ORDER OF M6a/b VALID CODES: ------------ 1. M6a Democratic Party first, M6b Republican Party second 2. M6b Republican Party first, M6a Democratic Party second MISSING CODES: -------------- INAP. R selected for M5a,b,c,d; no 2002 Post interview NOTES: ------ Respondents were administered equal pay for women items M6a (position of Democratic Party) and M6b (position of Republican Party) in random order. TYPE: ----- Numeric Dec . 165 1 697 2 649 ============================================================================= V024420 PostRand.M7. Random Post M7 Wording ============================================================================= QUESTION: --------- RANDOMIZATION POST M7 WORDING VALID CODES: ------------ 1. "Estate tax" 2. "Death tax" MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to 1 of 2 possible wordings for M7 questions (same wording used in all M7 questions). TYPE: ----- Numeric Dec . 165 1 670 2 676 ============================================================================= V024421 PostRand.M7c/e. Random Order M7c/e ============================================================================= QUESTION: --------- RANDOMIZATION ORDER OF M7c/e VALID CODES: ------------ 1. M7c Democratic Party first, M7e Republican party second 2. M7e Republican Party first, M7c Democratic party second MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were administered estate tax items M7c (position of Democratic Party) and M7e (position of Republican Party) in random order. TYPE: ----- Numeric Dec . 166 1 702 2 643 ============================================================================= V024422 PostRand.M9b/c. Random Order of M9b/c ============================================================================= QUESTION: --------- RANDOMIZATION ORDER OF M9b/c VALID CODES: ------------ 1. M9b taxes paid by rich first, M9c taxes paid by poor second 2. M9c taxes paid by poor first, M9b taxes paid by rich second MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were administered M9b and M9c items on level of taxation in random order. TYPE: ----- Numeric Dec . 165 1 684 2 662 ============================================================================= V024423 PostRand.M11. Randomized Assignment M11 ============================================================================= QUESTION: --------- RANDOMIZED ASSIGNMENT M11 VALID CODES: ------------ 1. Post M11c administered (Pre L2a) 2. Post M11d administered (Pre L2b) 3. Post M11a administered (Pre L2c) 4. Post M11b administered (Pre L2d) MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to one of the following combinations of general income inequality questions: - Pre L2a (open "better"), Post M11c (closed list "better") - Pre L2b (open "worse"), Post M11d (closed list "worse") - Pre L2c (closed list "better"), Post M11a (open "better") - Pre L2d (closed list "worse"), Post M11b (open "worse") This variable describes the Post assignment based on this randomized selection. Note: Income inequality items in Pre L2 and Post M11 are identical (L2a/M11a, L2b/M11b, L2c/M11c, L2d/M11d). TYPE: ----- Numeric Dec . 165 1 362 2 352 3 303 4 329 ============================================================================= V024424 PostRand.M11c. Rand Post M11c Series ============================================================================= QUESTION: --------- RANDOMIZATION POST M11c SERIES VALID CODES: ------------ 1. M11c1,2,3,4,5,6,7 2. M11c2,4,5,6,3,1,7 MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the order of administration of Post M11c closed-list income inequality items (reasons why some people have better jobs/income). Two orderings were possible. TYPE: ----- Numeric Dec . 165 1 687 2 659 ============================================================================= V024425 PostRand.M11d. Random Post M11d Series ============================================================================= QUESTION: --------- RANDOMIZATION POST M11d SERIES VALID CODES: ------------ 1. M11d1,2,3,4,5,6,7 2. M11d2,4,5,6,3,1,7 MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ This variable describes the order of administration of Post M11d closed-list income inequality series items (reasons why some people have worse jobs/income). Two orderings were possible. TYPE: ----- Numeric Dec . 165 1 684 2 662 ============================================================================= V024500a Cand.0a. House Type Race ============================================================================= QUESTION: --------- House Type Race VALID CODES: ------------ INCUMBENT RUNNING 12. Democratic incumbent running - Republican challenger 13. Democratic incumbent running - other challenger 14. Democratic incumbent running - unopposed 19. Democratic incumbent running - Repub and other challengers 21. Republican incumbent running - Democratic challenger 23. Republican incumbent running - other challenger 24. Republican incumbent running - unopposed 29. Republican incumbent running - Dem and other challengers 31. Other incumbent running - Democratic challenger 32. Other incumbent running - Republican challenger 34. Other incumbent running - unopposed 35. Other incumbent running - Dem and Repub challengers SPECIAL TYPE RACE DUE TO REDISTRICTING 40. Dem and Repub incumbents running - no other candidate 41. 2 Democratic incumbents running - no other candidate 42. 2 Republican incumbents running - no other candidate 43. Dem and Repub incumbents running - other candidate(s) 44. Dem non-incumbent only - no retiree/unclear who is retiree 45. Repub non-incumbent only - no retiree/unclear who is retiree 46. Dem and Rep candidates - no retiree/unclear who is retiree 47. Dem and other candidates - no retiree/unclear who is retiree 48. Rep and other candidates - no retiree/unclear who is retiree 49. Dem, Rep and other cands - no retiree/unclear who is retiree NO INCUMBENT RUNNING 51. Dem incumbent not running - Democratic cand unopposed 52. Dem incumbent not running - Republican cand unopposed 53. Dem incumbent not running - Other cand unopposed 55. Dem incumbent not running - Democratic and Republican cands 56. Dem incumbent not running - Republican and other candidates 57. Dem incumbent not running - Democratic and other candidates 59. Dem incumbent not running - Democr, Repub, other cands 61. Rep incumbent not running - Democratic cand unopposed 62. Rep incumbent not running - Republican cand unopposed 63. Rep incumbent not running - Other cand unopposed 65. Rep incumbent not running - Democratic and Republican cands 66. Rep incumbent not running - Republican and other candidates 67. Rep incumbent not running - Democratic and other candidates 69. Rep incumbent not running - Democr, Repub, other cands LOUISIANA DISTRICT 05 ONLY 80. Rep incumbent not running - Democr and 2 Repub candidates MISSING CODES: -------------- 97. Washington DC 99. Correct district not assigned (See Summary.1) INAP. No 2002 Post interview NOTES: ------ In LA05 only, there were 2 significant Republican candidates facing a Democrat in an open race. TYPE: ----- Numeric Dec 12 477 14 129 19 11 21 579 24 145 32 2 40 7 44 2 46 51 49 3 51 17 55 27 65 57 80 2 97 1 99 1 ============================================================================= V024500b Cand.0b. Senate Type Race ============================================================================= QUESTION: --------- Senate Type Race VALID CODES: ------------ INCUMBENT RUNNING 12. Democratic incumbent running - Republican challenger 13. Democratic incumbent running - other challenger 14. Democratic incumbent running - unopposed 19. Democratic incumbent running - Repub and other challengers 21. Republican incumbent running - Democratic challenger 23. Republican incumbent running - other challenger 24. Republican incumbent running - unopposed 29. Republican incumbent running - Dem and other challengers 31. Other incumbent running - Democratic challenger 32. Other incumbent running - Republican challenger 34. Other incumbent running - unopposed 35. Other incumbent running - Dem and Repub challengers NO INCUMBENT RUNNING 51. Dem incumbent not running - Democratic cand unopposed 52. Dem incumbent not running - Republican cand unopposed 53. Dem incumbent not running - Other cand unopposed 55. Dem incumbent not running - Democratic and Republican cands 56. Dem incumbent not running - Republican and other candidates 57. Dem incumbent not running - Democratic and other candidates 59. Dem incumbent not running - Democr, Repub, other cands 61. Rep incumbent not running - Democratic cand unopposed 62. Rep incumbent not running - Republican cand unopposed 63. Rep incumbent not running - Other cand unopposed 65. Rep incumbent not running - Democratic and Republican cands 66. Rep incumbent not running - Republican and other candidates 67. Rep incumbent not running - Democratic and other candidates 69. Rep incumbent not running - Democr, Repub, other cands LOUISIANA ONLY 80. Democratic incumbent running - 2 Republican challengers NO RACE IN STATE 81. Democratic incumbents, no race in state 82. Republican incumbents, no race in state 83. Democratic and other incumbent, no race in state 84. Republican and other incumbent, no race in state 85. Democratic and Republican incumbents, no race in state 86. 2 Other incumbents - no race MISSING CODES: -------------- 97. Washington DC NOTES: ------ In Louisiana only, there were 2 significant Republican challengers to the incumbent Democratic Senate candidate. TYPE: ----- Numeric Dec 12 208 14 41 21 179 24 90 55 34 59 54 65 201 80 42 81 458 82 158 83 2 85 43 97 1 ============================================================================= V024501 Cand.1. House Democratic Candidate Name ============================================================================= QUESTION: --------- Democratic House Candidate Name MISSING CODES: -------------- INAP. No Democratic House candidate; correct district not assigned (See Summary.1); no 2002 Post interview TYPE: ----- Character ============================================================================= V024502 Cand.2. Cand Code-House Democratic cand ============================================================================= QUESTION: --------- Candidate Code - Democratic House Candidate VALID CODES: ------------ 31. Democratic candidate in open House race 33. Democratic House incumbent 35. Democratic House challenger MISSING CODES: -------------- INAP. No Democratic House candidate; correct district not assigned (See Summary.1); no 2002 Post interview TYPE: ----- Numeric Dec . 149 31 159 33 624 35 579 ============================================================================= V024503 Cand.3. House Democratic Cand Gender ============================================================================= QUESTION: --------- Democratic House Candidate Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No Democratic House candidate; correct district not assigned (See Summary.1); no 2002 Post interview TYPE: ----- Numeric Dec . 149 1 1132 2 230 ============================================================================= V024504 Cand.4. House Republican Candidate Name ============================================================================= QUESTION: --------- Republican House Candidate Name MISSING CODES: -------------- INAP. No Republican House candidate; correct district not assigned (See Summary.1); no 2002 Post interview TYPE: ----- Character ============================================================================= V024505 Cand.5. Cand Code-House Republican cand ============================================================================= QUESTION: --------- Candidate Code - Republican House Candidate VALID CODES: ------------ 32. Republican candidate in open House race 34. Republican House incumbent 36. Republican House challenger MISSING CODES: -------------- INAP. No Republican House candidate; correct district not assigned (See Summary.1); no 2002 Post interview TYPE: ----- Numeric Dec . 150 32 140 34 731 36 490 ============================================================================= V024506 Cand.6. House Republican Cand Gender ============================================================================= QUESTION: --------- Republican House Candidate Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No Republican House candidate; correct district not assigned (See Summary.1); no 2002 Post interview TYPE: ----- Numeric Dec . 150 1 1223 2 138 ============================================================================= V024507 Cand.7. House Ind/3rd Party Cand Name ============================================================================= QUESTION: --------- Independent/3rd Party House Candidate Name MISSING CODES: -------------- INAP. No independent/3rd-party House candidate; correct district not assigned (See Summary.1)no 2002 Post interview NOTES: ------ In LA05 only, there were 2 significant Republican candidates facing a Democrat in an open race. The 2nd Republican candidate is represented here. TYPE: ----- Character ============================================================================= V024508 Cand.8. Cand Code-House Ind/3rd Pty cand ============================================================================= QUESTION: --------- Candidate Code - Independent/3rd Party House Candidate VALID CODES: ------------ 32. 2nd Republican candidate in open House race (LA05 ONLY) 37. 3rd-Party or Independent House candidate - nonincumbent 39. 3rd-Party or Independent House candidate - incumbent (VT01) MISSING CODES: -------------- INAP. No independent/3rd-party House candidate; correct district not assigned (See Summary.1)no 2002 Post interview NOTES: ------ In LA05 only, there were 2 significant Republican candidates facing a Democrat in an open race. The 2nd Republican candidate is represented here. TYPE: ----- Numeric Dec . 1493 32 2 37 14 39 2 ============================================================================= V024509 Cand.9. House Ind/3rd Pty Cand Gender ============================================================================= QUESTION: --------- Independent/3rd Party House Candidate Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No independent/3rd-party House candidate; correct district not assigned (See Summary.1)no 2002 Post interview NOTES: ------ In LA05 only, there were 2 significant Republican candidates facing a Democrat in an open race. The 2nd Republican candidate is represented here. TYPE: ----- Numeric Dec . 1493 1 18 ============================================================================= V024510 Cand.10. House Ind/3rd Party Cand Party ============================================================================= QUESTION: --------- Independent/3rd Party House Candidate Party MISSING CODES: -------------- INAP. No independent/3rd-party House candidate; correct district not assigned (See Summary.1)no 2002 Post interview NOTES: ------ In LA05 only, there were 2 significant Republican candidates facing a Democrat in an open race. The 2nd Republican candidate is represented here. TYPE: ----- Character ============================================================================= V024511 Cand.11. House Retiring Rep Name ============================================================================= QUESTION: --------- Retiring House Representative Name MISSING CODES: -------------- INAP. No retiring House representative; correct district not assigned (See Summary.1)no 2002 Post interview TYPE: ----- Character ============================================================================= V024512 Cand.12. Cand Code-House Retiring Rep ============================================================================= QUESTION: --------- Candidate Code - Retiring House Representative VALID CODES: ------------ 41. Democratic Representative retiring (district with open race) 42. Republican Representative retiring (district with open race) MISSING CODES: -------------- INAP. No retiring House representative; correct district not assigned (See Summary.1)no 2002 Post interview TYPE: ----- Numeric Dec . 1408 41 44 42 59 ============================================================================= V024512a Cand.2a. Ret Hse Rep running for Senate ============================================================================= QUESTION: --------- Is Retiring House representative also Senate cand VALID CODES: ------------ 1. House retiree is running as Democratic Senate cand in 2002 2. House retiree is running as Republican Senate cand in 2002 3. House retiree is not running as Senate cand in 2002 MISSING CODES: -------------- INAP. No retiring House representative; correct district not assigned (See Summary.1); no 2002 Post interview NOTES: ------ Note: for cases coded 1-2, thermometer was asked only once (for House retiree). TYPE: ----- Numeric Dec . 1408 1 3 2 14 3 86 ============================================================================= V024513 Cand.13. House Retiring Rep Gender ============================================================================= QUESTION: --------- Retiring House Representative Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No retiring House representative; correct district not assigned (See Summary.1)no 2002 Post interview TYPE: ----- Numeric Dec . 1408 1 90 2 13 ============================================================================= V024514 Cand.14. Senate Democratic Cand Name ============================================================================= QUESTION: --------- Democratic Senate Candidate Name MISSING CODES: -------------- INAP. No Democratic Senate candidate; no race in state; no 2002 Post interview TYPE: ----- Character ============================================================================= V024515 Cand.15. Cand Code-Senate Dem Candidate ============================================================================= QUESTION: --------- Candidate code - Democratic Senate candidate VALID CODES: ------------ 01. Democratic candidate in open Senate race 03. Democratic Senate incumbent 05. Democratic Senate challenger MISSING CODES: -------------- INAP. No Democratic Senate candidate; no race in state; no 2002 Post interview TYPE: ----- Numeric Dec . 752 1 289 3 291 5 179 ============================================================================= V024516 Cand.16. Senate Democratic Cand Gender ============================================================================= QUESTION: --------- Democratic Senate Candidate Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No Democratic Senate candidate; no race in state; no 2002 Post interview TYPE: ----- Numeric Dec . 752 1 613 2 146 ============================================================================= V024517 Cand.17. Senate Republican Cand Name ============================================================================= QUESTION: --------- Republican Senate Candidate Name MISSING CODES: -------------- INAP. No Republican Senate candidate; no race in state; no 2002 Post interview TYPE: ----- Character ============================================================================= V024518 Cand.18. Cand Code-Senate Repub Cand ============================================================================= QUESTION: --------- Candidate Code - Republicn Senate Candidate VALID CODES: ------------ 02. Republican candidate in open Senate race 04. Republican Senate incumbent 06. Republican Senate challenger MISSING CODES: -------------- INAP. No Republican Senate candidate; no race in state; no 2002 Post interview TYPE: ----- Numeric Dec . 703 2 289 4 269 6 250 ============================================================================= V024519 Cand.19. Senate Republican Cand Gender ============================================================================= QUESTION: --------- Republican Senate Candidate Gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No Republican Senate candidate; no race in state; no 2002 Post interview TYPE: ----- Numeric Dec . 703 1 774 2 34 ============================================================================= V024520 Cand.20. Senate Ind/3rd Party Cand Name ============================================================================= QUESTION: --------- Independent/3rd-Party Senate candidate name (alpha) MISSING CODES: -------------- INAP. No independent/3rd=party Senate candidate; no race in state; 2002 Post interview NOTES: ------ In Louisiana only, there were 2 significant Republican challengers to the incumbent Democratic Senate candidate. The 2nd Republican Senate challenger is represented here. TYPE: ----- Character ============================================================================= V024521 Cand.21. Cand Code-Senate Ind/3rd Pty ============================================================================= QUESTION: --------- Candidate code - Independent/3rd-Party Senate candidate VALID CODES: ------------ 06. Republican Senate challenger (LA only) 07. 3rd-Party or Independent Senate candidate - nonincumbent MISSING CODES: -------------- INAP. No independent/3rd=party Senate candidate; no race in state; 2002 Post interview NOTES: ------ In Louisiana only, there were 2 significant Republican challengers to the incumbent Democratic Senate candidate. The 2nd Republican Senate challenger is represented here. TYPE: ----- Numeric Dec . 1415 6 42 7 54 ============================================================================= V024522 Cand.22. Senate Ind/3rd Pty Cand Gender ============================================================================= QUESTION: --------- Independent/3rd-Party Senate candidate gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No independent/3rd=party Senate candidate; no race in state; 2002 Post interview NOTES: ------ In Louisiana only, there were 2 significant Republican challengers to the incumbent Democratic Senate candidate. The 2nd Republican Senate challenger is represented here. TYPE: ----- Numeric Dec . 1415 1 54 2 42 ============================================================================= V024523 Cand.23. Party Senate Ind/3rd Pty Cand ============================================================================= QUESTION: --------- Independent/3rd-Party Senate candidate party (alpha) MISSING CODES: -------------- INAP. No independent/3rd=party Senate candidate; no race in state; 2002 Post interview NOTES: ------ In Louisiana only, there were 2 significant Republican challengers to the incumbent Democratic Senate candidate. The 2nd Republican Senate challenger is represented here. TYPE: ----- Character ============================================================================= V024524 Cand.24. Cand Code-2002 House Winner ============================================================================= QUESTION: --------- 2002 House Election Winner - candidate code VALID CODES: ------------ 31. Democratic candidate in open House race 32. Republican candidate in open House race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger 39. 3rd-Party or Independent House candidate - incumbent (VT01) MISSING CODES: -------------- INAP. Washington DC; correct district not assigned (See Summary.1) TYPE: ----- Numeric Dec . 2 31 59 32 100 33 615 34 721 35 5 36 7 39 2 ============================================================================= V024524a Cand.24a. 2002 House Winner-Party ============================================================================= QUESTION: --------- 2002 House Election Winner - Party VALID CODES: ------------ 1. Democrat 5. Republican 7. Other MISSING CODES: -------------- INAP. Washington DC; correct district not assigned (See Summary.1) NOTES: ------ Source: CNN.com TYPE: ----- Numeric Dec . 2 1 679 5 828 7 2 ============================================================================= V024524b Cand.24b. 2002 Dem House Cand Percent ============================================================================= QUESTION: --------- Vote % Dem House candidate MISSING CODES: -------------- INAP. No Democratic House candidate (incl. Washington DC); correct district not assigned (See Summary.1) NOTES: ------ Source: CNN.com TYPE: ----- Numeric Dec ============================================================================= V024524c Cand.24c. 2002 Rep House Cand Percent ============================================================================= QUESTION: --------- Vote % Rep House candidate MISSING CODES: -------------- INAP. No Democratic House candidate (incl. Washington DC); correct district not assigned (See Summary.1) NOTES: ------ Source: CNN.com TYPE: ----- Numeric Dec ============================================================================= V024524d Cand.24d. 2002 Ind/3rd Hse Cand Percent ============================================================================= QUESTION: --------- Vote % Ind/3rd Party House candidate MISSING CODES: -------------- INAP. No Ind/3rd Party House candidate with more than 5% of vote and no preload of independent/3rd party name; Washington DC; correct district not assigned (See Summary.1) NOTES: ------ Source: CNN.com. This includes the vote percentage of the independent/third party candidate with the greatest number of votes over 5% of returns (if any). Note that the Post instrument preload included, for several disticts, 1 independent/3rd party candidate name; that candidate is represented here even if he/she did not finally receive more than 5% of the vote. Note: in a few districts, more than 1 independent/3rd-party candidate received more than 5% of the vote; besides an independent/3rd-party candidate described in Cand24.d-Cand.24f: LA02 - Additional Republican candidate 11% (Sullivan) LA05 - Additional Republican candidate 24% (Fletcher) SC02 - United Citizens Party candidate 6% (Legg) SC05 - Constitution Party candidate 6% (FaFemine) TYPE: ----- Numeric Dec ============================================================================= V024524e Cand.24e. 2002 Ind/3rd Hse Cand Name ============================================================================= QUESTION: --------- Ind/3rd Party House candidate name MISSING CODES: -------------- INAP. No Ind/3rd Party House candidate with more than 5% of vote and no preload of independent/3rd party name; Washington DC; correct district not assigned (See Summary.1) NOTES: ------ Source: CNN.com. This includes the independent/third party candidate with the greatest number of votes over 5% of returns (if any). Note that the Post instrument preload included, for several disticts 1 independent/3rd party candidate name; that candidate is represented here even if he/she did not finally receive more than 5% of the vote. TYPE: ----- Character ============================================================================= V024524f Cand.24f. 2002 Hse Ind/3rd Party ============================================================================= QUESTION: --------- Ind/3rd Party House candidate party MISSING CODES: -------------- INAP. No Ind/3rd Party House candidate with more than 5% of vote and no preload of independent/3rd party name; Washington DC; correct district not assigned (See Summary.1) NOTES: ------ Source: CNN.com. This includes the independent/third party candidate with the greatest number of votes over 5% of returns (if any). Note that the Post instrument preload included, for several disticts 1 independent/3rd party candidate name; that candidate is represented here even if he/she did not finally receive more than 5% of the vote. TYPE: ----- Character ============================================================================= V024525 Cand.25. Cand Code-2002 Senate winner ============================================================================= QUESTION: --------- 2002 Senate Election Winner - candidate code VALID CODES: ------------ 01. Democratic candidate in open Senate race 02. Republican candidate in open Senate race 03. Democratic Senate incumbent 04. Republican Senate incumbent 05. Democratic Senate challenger 06. Republican Senate challenger MISSING CODES: -------------- INAP. No Senate race in state or Washington DC; no 2002 Post interview TYPE: ----- Numeric Dec . 662 1 34 2 255 3 241 4 247 5 22 6 50 ============================================================================= V024525a Cand.25a. 2002 Senate Winner-Party ============================================================================= QUESTION: --------- 2002 Senate Election Winner - Party VALID CODES: ------------ 1. Democrat 5. Republican 7. Other MISSING CODES: -------------- INAP. No Senate race in state or Washington DC; no 2002 Post interview NOTES: ------ Source: CNN.com TYPE: ----- Numeric Dec . 662 1 297 5 552 ============================================================================= V024525b Cand.25b. 2002 Dem Senate Cand Percent ============================================================================= QUESTION: --------- Vote % Dem Senate candidate MISSING CODES: -------------- INAP. No Democratic Senate candidate; no race in state; Washington DC NOTES: ------ Source: CNN.com TYPE: ----- Numeric Dec ============================================================================= V024525c Cand.25c. 2002 Rep Senate Cand Percent ============================================================================= QUESTION: --------- Vote % Rep Senate candidate MISSING CODES: -------------- INAP. No Republican Senate candidate; no race in state; Washington DC NOTES: ------ Source: CNN.com TYPE: ----- Numeric Dec ============================================================================= V024525d Cand.25d. 2002 Ind Senate Cand Percent ============================================================================= QUESTION: --------- Vote % Ind/3rd party Senate candidate MISSING CODES: -------------- INAP. No independent/3rd party Senate candidate with more than 5% of vote; no race in state; Washington DC NOTES: ------ Source: CNN.com. This includes the vote percentage of the independent/third party candidate with the greatest number of votes over 5% of returns (if any). Note that the Post instrument preload included 2 states for each of which an independent/third party candidate name was included in the preload; both of these preloaded independent/3rd party candidate namess are represented here, including the MN candidate who did not finally receive more than 5% of the vote. KS: Libertarian candidate [Rosile] LA: 2nd Republican candidate [Terrell] MN: Reform party [Moore] MS: Reform candidate [O'Hara] OK: Independent candidate [Germalic] VA: Independent candidate [Spannaus] LA Note: Louisiana had multiple Republican challengers to the Senate running Democratic incumbent in the 2002 election; the Republican candidate who seemed to be the leading challenger was preloaded as 'the' Republican candidate in the instrument, and 1 additional Republican candidate was included in the preload fields otherwise reserved for independent/3rd party candidate. Also, in addition to the 2nd Republican candidate whose vote percentage is represented in Cand.25d, Louisiana had a 4th candidate with over 5% of the vote (a 3rd Republican candidate, [Perkins] who received 10% of the vote). VA Note: In Virginia, an additional Independent candidate [Hornberger] received 7% of the vote. TYPE: ----- Numeric Dec ============================================================================= V024526 Cand.26. Junior Senator Status ============================================================================= QUESTION: --------- Junior Senator Status 2002 VALID CODES: ------------ 0. Junior Senator not running or retiring in 2002 1. Junior Senator running in 2002 2. Junior Senator retiring in 2002 MISSING CODES: -------------- INAP. Washington DC; no Post IW NOTES: ------ This describes the Junior Senator prior to the 2002 election (107th Congress). TYPE: ----- Numeric Dec . 1 0 1229 1 281 ============================================================================= V024526a Cand.26. Junior Senator Party ============================================================================= QUESTION: --------- Junior Senator Party 2002 VALID CODES: ------------ 1. Democratic 5. Republican 7. Other MISSING CODES: -------------- INAP. Washington DC; no Post IW NOTES: ------ This describes the Junior Senator prior to the2002#### election (107th Congress). TYPE: ----- Numeric Dec . 1 1 890 5 618 7 2 ============================================================================= V024527 Cand.27. Senior Senator Status in 2002 ============================================================================= QUESTION: --------- Senior Senator Status 2002 VALID CODES: ------------ 0. Senior Senator not running or retiring in 2002 1. Senior Senator running in 2002 2. Senior Senator retiring in 2002 MISSING CODES: -------------- INAP. Washington DC; no Post IW NOTES: ------ This describes the Senior Senator prior to the2002#### election (107th Congress). TYPE: ----- Numeric Dec . 1 0 942 1 279 2 289 ============================================================================= V024527a Cand.27a. Senior Senator Party ============================================================================= QUESTION: --------- Senior Senator Party 2002 VALID CODES: ------------ 1. Democratic 5. Republican 7. Other MISSING CODES: -------------- INAP. Washington DC; no Post IW NOTES: ------ This describes the Senior Senator prior to the2002#### election (107th Congress). TYPE: ----- Numeric Dec . 1 1 828 5 682 ============================================================================= V024528 Cand.28. Junior Senator Name ============================================================================= QUESTION: --------- Junior Senator name (alpha) MISSING CODES: -------------- INAP. Washington DC; no Post IW TYPE: ----- Character ============================================================================= V024529 Cand.29. Junior Senator Code ============================================================================= QUESTION: --------- Junior Senator code VALID CODES: ------------ RACE IN STATE 03. Democratic Senate Running Incumbent 04. Republican Senate Running Incumbent JUNIOR SENATOR WITH TERM NOT UP (NOT RUNNING FOR RETIRING) 11. Democratic Junior Senator 12. Republican Junior Senator 13. Independent/3rd-Party Junior Senator JUNIOR SENATOR RETIRING 21. Retiring Democratic Junior Senator in state with open race 22. Retiring Republican Junior Senator in state with open race 23. Retiring Ind/3rd Party Junior Senator in state w/ open race MISSING CODES: -------------- INAP. Washington DC; no Post IW TYPE: ----- Numeric Dec . 1 3 142 4 139 11 748 12 479 13 2 ============================================================================= V024530 Cand.30. Junior Senator Gender ============================================================================= QUESTION: --------- Junior Senator gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. Washington DC; no Post IW TYPE: ----- Numeric Dec . 1 1 961 2 549 ============================================================================= V024531 Cand.31. Senior Senator Name ============================================================================= QUESTION: --------- Senior Senator Name MISSING CODES: -------------- INAP. Washington DC; no Post IW TYPE: ----- Character ============================================================================= V024532 Cand.32. Senior Senator Code ============================================================================= QUESTION: --------- Senior Senator Code VALID CODES: ------------ RACE IN STATE 03. Democratic Senate Running Incumbent 04. Republican Senate Running Incumbent SENIOR SENATOR RETIRING 27. Retiring Democratic Senior Senator in state with open race 28. Retiring Republican Senior Senator in state with open race 29. Retiring Ind/3rd Party Senior Senator in state w/ open race SENIOR SENATOR WITH TERM NOT UP (NOT RUNNING FOR RETIRING) 17. Democratic Senior Senator 18. Republican Senior Senator 19. Independent/3rd Party Senior Senator MISSING CODES: -------------- INAP. Washington DC; no Post IW TYPE: ----- Numeric Dec . 1 3 149 4 130 17 591 18 351 27 88 28 201 ============================================================================= V024533 Cand.33. Senior Senator Gender ============================================================================= QUESTION: --------- Senior Senator gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. Washington DC; no Post IW TYPE: ----- Numeric Dec . 1 1 1304 2 206 ============================================================================= V024534 Cand.34. Retiring Senator Name ============================================================================= QUESTION: --------- Retiring Senator Name MISSING CODES: -------------- INAP. No race in state; Washington DC; no Post IW TYPE: ----- Character ============================================================================= V024535 Cand.35. Retiring Senator Code ============================================================================= QUESTION: --------- Retiring Senator Code VALID CODES: ------------ 21. Retiring Democratic Junior Senator in state with open race 22. Retiring Republican Junior Senator in state with open race 23. Retiring Ind/3rd Party Junior Senator in state w/ open race 27. Retiring Democratic Senior Senator in state with open race 28. Retiring Republican Senior Senator in state with open race 29. Retiring Ind/3rd Party Senior Senator in state w/ open race MISSING CODES: -------------- INAP. No race in state; Washington DC; no Post IW TYPE: ----- Numeric Dec . 1222 27 88 28 201 ============================================================================= V024536 Cand.36. Retiring Senator Gender ============================================================================= QUESTION: --------- Retiring Senator gender VALID CODES: ------------ 1. Male 2. Female MISSING CODES: -------------- INAP. No race in state; Washington DC; no Post IW TYPE: ----- Numeric Dec . 1222 1 289 ============================================================================= V025001 A1. How Much Attn to Campaigns ============================================================================= QUESTION: --------- 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? VALID CODES: ------------ 1. Very much interested 3. Somewhat interested 5. Not much interested MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 2 1 464 3 690 5 190 ============================================================================= V025002 A2. Watch Campaign TV Programs ============================================================================= QUESTION: --------- Did you watch any programs about the campaign on television? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 1 1 899 5 445 8 1 ============================================================================= V025003 A3. R Discuss Politics w/ Family/Friends ============================================================================= QUESTION: --------- Do you ever discuss politics with your family or friends? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 4 1 1113 5 229 ============================================================================= V025004 A3a. How Often Discuss Politics ============================================================================= IF R DISCUSSED POLITICS WITH FAMILY OR FRIENDS IN PAST WEEK: QUESTION: --------- How many days IN THE PAST WEEK did you talk about politics with family or friends? VALID CODES: ------------ 00. None 01. One Day 02. Two Days 03. Three Days 04. Four Days 05. Five Days 06. Six Days 07. Every Day MISSING CODES: -------------- 08. Don't know 09. Refused 99. NA INAP. 5,8,9,0 in A3; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 398 0 74 1 129 2 201 3 233 4 124 5 91 6 31 7 222 8 1 9 2 99 5 ============================================================================= V025005 B1. Parties Talk to R About Campaign ============================================================================= QUESTION: --------- As you know, the political parties try to talk to as many people as they can to get them to vote for their candidate. Did anyone from one of the POLITICAL PARTIES call you up or come around and talk to you about the campaign this year? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 1 705 5 639 8 2 ============================================================================= V025006 B1a. Which Party Talked to R About Campa ============================================================================= IF POLITICAL PARTY SPOKE TO R ABOUT THE CAMPAIGN: QUESTION: --------- Which party was that? VALID CODES: ------------ 1. Democrats 5. Republicans 6. Both 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in B1; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 806 0 4 1 160 5 195 6 274 7 42 8 30 ============================================================================= V025007 B2. R Try to Influence Vote of Others ============================================================================= QUESTION: --------- We would like to find out about some of the things people do to help a party or a candidate win an election. During the campaign, did you talk to any people and try to show them why they should vote for or against one of the parties or candidates? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 2 1 445 5 895 8 3 ============================================================================= V025008 B3. R Display Campaign Button/Sticker ============================================================================= QUESTION: --------- Did you wear a campaign button, put a campaign sticker on your car, or place a sign in your window or in front of your house? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 1 139 5 1206 8 1 ============================================================================= V025009 B4. R Attend Candidate Meetings/Rallies ============================================================================= QUESTION: --------- Did you go to any political meetings, rallies, speeches, dinners, or things like that in support of a particular candidate? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 1 83 5 1263 ============================================================================= V025010 B5. R Do Other Work for Party or Cand ============================================================================= QUESTION: --------- Did you do any (other) work for one of the parties or candidates? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 1 1 61 5 1284 ============================================================================= V025011 B6. Did R Give Money to Candidate ============================================================================= QUESTION: --------- During an election year people are often asked to make a contribution to support campaigns. Did you give money to AN INDIVIDUAL CANDIDATE running for public office? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 1 100 5 1245 8 1 ============================================================================= V025012 B7. Did R Give Money to Party ============================================================================= QUESTION: --------- Did you give money to A POLITICAL PARTY during this election year? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 1 127 5 1218 8 1 ============================================================================= V025013 B8. R Give Money to Any Other Group ============================================================================= QUESTION: --------- Did you give any money to ANY OTHER GROUP that supported or opposed candidates? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 4 1 110 5 1227 8 5 ============================================================================= V025014 B9. Anyone Talk to R About Reg/Vote ============================================================================= QUESTION: --------- During the campaign this year, did anyone talk to you about REGISTERING TO VOTE or GETTNG OUT TO VOTE? VALID CODES: ------------ 1. Yes, someone did 5. No, no one did MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 1 1 678 5 663 8 3 9 1 ============================================================================= V025015a C1a. R Turnout Traditional ============================================================================= IF R SELECTED FOR VERSION 1 OF VOTE TURNOUT QUESTION: QUESTION: --------- In talking to people about elections, we often find that a lot of people were not able to vote because they weren"t registered, they were sick, or they just didn"t have time. How about you--did you vote in the elections this November? VALID CODES: ------------ 1. Yes, voted 5. No, didn't vote 6. R refused to say whether voted MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for version 2 of R turnout (C1b); no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either C1a or C1b in the Pre (alternate version for R turnout). Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 839 1 500 5 172 ============================================================================= V025015b C1b. R Turnout Experimental ============================================================================= IF R SELECTED FOR VERSION 2 OF VOTE TURNOUT QUESTION: QUESTION: --------- In talking to people about elections, we often find that a lot of people were not able to vote because they weren"t registered, they were sick, or they just didn"t have time. Which of the following statements best describes you: One, I did not vote (in the election this November); Two, I thought about voting this time – but didn"t; Three, I usually vote, but didn"t this time; or Four, I am sure I voted? VALID CODES: ------------ 1. I did not vote (in the election this November) 2. I thought about voting this time but didn't 3. I usually vote but didn't this time 4. I am sure I voted MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for version 1 of R turnout (C1a); no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either C1a or C1b in the Pre (alternate version for R turnout). Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 837 1 61 2 53 3 96 4 462 8 1 9 1 ============================================================================= V025016 C1x. Summary:R 2002 Election Turnout ============================================================================= QUESTION: --------- VERSION 1: In talking to people about elections, we often find that a lot of people were not able to vote because they weren"t registered, they were sick, or they just didn"t have time. How about you--did you vote in the elections this November? VERSION 2: In talking to people about elections, we often find that a lot of people were not able to vote because they weren"t registered, they were sick, or they just didn"t have time. Which of the following statements best describes you: One, I did not vote (in the election this November); Two, I thought about voting this time – but didn"t; Three, I usually vote, but didn"t this time; or Four, I am sure I voted? VALID CODES: ------------ 1. R reported voting in 2002 election 5. R reported not voting in 2002 election MISSING CODES: -------------- 8. R did not know whether voted in 2002 election 9. R refused to say whether voted in 2002 election 0. NA INAP. No 2002 Post interview NOTES: ------ Built from C1a and C1b. TYPE: ----- Numeric Dec 0 . 165 1 962 5 382 8 1 9 1 ============================================================================= V025017 C2. Was R Registered to Vote ============================================================================= IF R DID NOT VOTE OR NA/REFUSED IF VOTED: QUESTION: --------- Were you registered to vote in this election? VALID CODES: ------------ 1. Yes 5. No 6. VOL: Not required to register in R's state MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,9,0 in C1x; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 1128 0 1 1 242 5 131 8 9 ============================================================================= V025018 C2a. R Registered in County ============================================================================= IF R VOTED:/ IF R IS REGISTERED NONVOTER: QUESTION: --------- {IF NOT WASHINGTON D.C AND NOT LOUISIANA:} Your residence is located in county. Are you registered to vote in county? {IF LOUISIANA:} Your residence is located in parish? Are you registered to vote in parish? {IF WASHINGTON D.C.:} Your residence is located in Washington D.C. Are you registered to vote in Washington D.C.? VALID CODES: ------------ 1. Yes, registered in 5. No, registered elsewhere MISSING CODES: -------------- 7. Not registered elsewhere but District misassignment (see Summary.1) 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C2; 9,0 in C1x; no 2002 Post interview NOTES: ------ PRELOADED: NAME OF COUNTY OR WASHINGTON DC (ALASKA: OTHER UNITS; IN METROPOLITANA AREAS SOMETIMES IDENTIFIED READS: " city") TYPE: ----- Numeric Dec 0 . 307 0 9 1 1155 5 39 7 1 ============================================================================= V025018a C2aa. Preloaded FIPS county ============================================================================= QUESTION: --------- PRELOADED COUNTY MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ The first 2 digits are FIPS state code; last 3 digits are FIPS county code. This variable has been blanked to preserve respondent confidentiality. 0=Washington DC TYPE: ----- Numeric Dec ============================================================================= V025019 C2a1. County Registered if Not Residence ============================================================================= IF R VOTED OR IS REGISTERED NONVOTER: IF R REGISTERED OUTSIDE OF COUNTY OF RESIDENCE: QUESTION: --------- In what county and state are you registered? MISSING CODES: -------------- 00. NA INAP. 9,0 in C1x; 5,6,8,9,0 in C2; 1,8,9,0 in C2a; no 2002 Post interview NOTES: ------ FIPS state code. TYPE: ----- Numeric Dec 0 ============================================================================= V025019a C2a2. District of outside registration ============================================================================= IF R VOTED OR IS REGISTERED NONVOTER: IF R REGISTERED OUTSIDE OF COUNTY OF RESIDENCE: QUESTION: --------- In what county and state are you registered? MISSING CODES: -------------- 99. NA INAP. 6,8,9,0 in C2; 1,8,9,0 in C2a; no 2002 Post interview TYPE: ----- Numeric Dec ============================================================================= V025020 C2ax. Summary:R Vote/Registration Status ============================================================================= QUESTION: --------- VERSION 1: In talking to people about elections, we often find that a lot of people were not able to vote because they weren"t registered, they were sick, or they just didn"t have time. How about you--did you vote in the elections this November? / VERSION 2: In talking to people about elections, we often find that a lot of people were not able to vote because they weren"t registered, they were sick, or they just didn"t have time. Which of the following statements best describes you: One, I did not vote (in the election this November); Two, I thought about voting this time – but didn"t; Three, I usually vote, but didn"t this time; or Four, I am sure I voted? Were you registered to vote in this election? {IF NOT WASHINGTON D.C AND NOT LOUISIANA:} Your residence is located in county. Are you registered to vote in county? {IF LOUISIANA:} Your residence is located in parish? Are you registered to vote in parish? {IF WASHINGTON D.C.:} Your residence is located in Washington D.C. Are you registered to vote in Washington D.C.? VALID CODES: ------------ 1. R voted, registered in county (includes 7 in C2a) 2. R voted, registered outside county /DK/RF/NA where registered 3. R did not vote or DK/RF/NA if voted 4. Washington DC: R voted, registered in Washington DC 5. Washington DC: R voted, registered outside or DK/RF/NA where 6. Washington DC: R did not vote or DK/RF/NA if voted MISSING CODES: -------------- INAP. No 2002 Post interview NOTES: ------ Built from C1x, C2, C2a. TYPE: ----- Numeric Dec 0 . 165 1 932 2 30 3 383 6 1 ============================================================================= V025021 C4. Did R Vote on Election Day ============================================================================= IF R VOTED: QUESTION: --------- Did you vote ON ELECTION DAY -- that is, November 5, 2002, or did you vote at SOME TIME BEFORE this? VALID CODES: ------------ 1. On election day 5. Some time before this MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C1x; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 549 0 12 1 806 5 143 8 1 ============================================================================= V025022 C4a1. R Voted How Long Before Election ============================================================================= IF R VOTED: IF R VOTED BEFORE ELECTION DAY: QUESTION: --------- How long before November 5th did you vote? {PROBE: A FEW DAYS, A WEEK, LONGER THAN THAT?} VALID CODES: ------------ 01. Less than one week, 1-6 days 02. One week; 7 days 03. 1-2 weeks; 8-14 days 04. 2-3 weeks; 15-21 days 05. 3-4 weeks; 22-28 days 06. One month; 29-31 days 07. More than one month; 32-60 days 11. A few days; a couple of days; several days -- NFS 12. A few weeks; a couple of weeks; several weeks -- NFS 87. Other MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in C1x; 1,8,9,0 in C4a; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 1368 0 25 1 45 2 39 3 25 4 7 5 1 87 1 ============================================================================= V025023 C4a2. R Vote Absentee Ballot or in Perso ============================================================================= IF R VOTED: IF R VOTED BEFORE ELECTION DAY: QUESTION: --------- Did you vote IN PERSON or by ABSENTEE BALLOT? VALID CODES: ------------ 1. In person 5. Absentee ballot 7. R VOLUNTEERS: by mail {OREGON ONLY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C1x; 1,8,9,0 in C4a; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 1368 0 5 1 36 5 91 7 11 ============================================================================= V025024 C11a. Did R Vote for House ============================================================================= IF R VOTED AND NOT WASHINGTON D.C. QUESTION: --------- How about the election for the HOUSE OF REPRESENTATIVES in Washington. Did you vote for a candidate for the U.S. House of Representatives? VALID CODES: ------------ 1. Yes, voted for House of Representatives 5. No, didn't vote for House of Representatives MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 3,4,6,8,9,0 in C2ax; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 549 0 14 1 829 5 102 8 17 ============================================================================= V025025 C11a1. In County R Vote House of Represe ============================================================================= IF R VOTED: IF NOT WASHINGTON DC AND VOTED IN COUNTY: IF R VOTED FOR HOUSE OF REPRESENTATIVES: QUESTION: --------- Who did you vote for? Did you vote for (the [Democrat/Republican], [/]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? VALID CODES: ------------ 1. 5. 3. 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 2,3,4,5,6,8,9,0 in C2ax; 5,8,9,0 in C11a; no 2002 Post interview NOTES: ------ Note: The case with misassigned district preloaded (see Summary.1) was coded for R's candidate vote from R's actual district. In LA05 there were 2 Republican candidates, the 2nd of which was preloaded into House independent/3rd-party candidate preload fields. Independent/3rd-party candidate names were read after any major party names. Respondents were randomly assigned to be administered this questions with the name of the Democratic candidate read first or the name of the Republican candidate read first. Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 705 0 3 1 361 3 2 5 386 7 41 8 6 9 7 ============================================================================= V025025x C11ax. Cand Code-House Vote In County ============================================================================= IF R VOTED: IF NOT WASHINGTON DC AND VOTED IN COUNTY: IF R VOTED FOR HOUSE OF REPRESENTATIVES: QUESTION: --------- Who did you vote for? Did you vote for (the [Democrat/Republican], [/]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? VALID CODES: ------------ 31. Democratic House candidate in open race 32. Republican House candidate in open race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger 37. Third party or independent House cand - nonincumbent 38. Third party or independent House cand - 2nd nonincumbent 39. Third party or independent House cand - incumbent 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 2,3,4,5,6,8,9,0 in C2ax; 5,8,9,0 in C11a; no 2002 Post interview NOTES: ------ Note: The case with misassigned district preloaded (see Summary.1) was coded for R's candidate vote from R's actual district. In LA05 there were 2 Republican candidates, the 2nd of which was preloaded into House independent/3rd-party candidate preload fields. Independent/3rd-party candidate names were read after any major party names.Respondents were randomly assigned to be administered this questions with the name of the Democratic candidate read first or the name of the Republican candidate read first. Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec . 705 0 5 31 33 32 45 33 233 34 255 35 95 36 86 39 2 85 39 88 6 89 7 ============================================================================= V025026 C11a2. Outside Cand R Vote House of Repr ============================================================================= IF R VOTED: IF VOTED OUTSIDE COUNTY: IF R VOTED FOR HOUSE OF REPRESENTATIVES: QUESTION: --------- Who did you vote for? VALID CODES: ------------ DISTRICT WITH NO RUNNING INCUMBENT: 71. Democratic candidate 72. Republican candidate DISTRICT WITH RUNNING INCUMBENT: 73. Democratic incumbent 74. Republican incumbent 75. Democratic challenger 76. Republican challenger ALL DISTRICTS: 80. Third party or independent candidate 81. Democrat--no name given 82. Republican--no name given 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 1,3,4,6,8,9,0 in C2ax; 5,8,9,0 in C11a; no 2002 Post interview NOTES: ------ Note: in 1 case, R's 'outside' candidate was in the same congressional district as district of residence (1 case coded 33). TYPE: ----- Numeric Dec 0 . 1481 0 7 33 1 73 1 81 6 82 13 85 1 88 1 ============================================================================= V025027 C11a2a. Outside Party R Vote House of Re ============================================================================= IF R VOTED: IF VOTED OUTSIDE COUNTY: IF R VOTED FOR HOUSE OF REPRESENTATIVES: QUESTION: --------- Which party was that? VALID CODES: ------------ 1. DEMOCRAT 2. REPUBLICAN 3. OTHER (third party or independent candidate) 7. Name not on candidate list MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,3,4,6,8,9,0 in C2ax; 5,8,9,0 in C11a; no 2002 Post interview NOTES: ------ This is the respondent's identification of 'outside' candidate's party. TYPE: ----- Numeric Dec 0 . 1481 0 7 1 8 2 14 3 1 ============================================================================= V025028a C11x1. Cand Code-House Vote Summary ============================================================================= IF R VOTED IN COUNTY AND NOT WASHINGTON DC / IF R VOTED OUTSIDE COUNTY: IF R VOTED FOR HOUSE OF REPRESENTATIVES: QUESTION: --------- Who did you vote for? Did you vote for (the [Democrat/Republican], [/]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? / Who did you vote for? Which party was that? VALID CODES: ------------ 31. Democratic House candidate in open race 32. Republican House candidate in open race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger 37. Third party or independent House cand - nonincumbent 38. Third party or independent House cand - 2nd nonincumbent 39. Third party or independent House cand - incumbent OUTSIDE DISTRICT 71. Democratic candidate 72. Republican candidate 73. Democratic incumbent 74. Republican incumbent 75. Democratic challenger 76. Republican challenger 80. Third party or independent candidate 81. Democrat--no name given 82. Republican--no name given 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 3,4,6,8,9,0 in C2ax; 5,8,9,0 in C11a; no 2002 Post interview NOTES: ------ Built from C11ax, C11a2. TYPE: ----- Numeric Dec 0 . 675 0 12 31 33 32 45 33 234 34 255 35 95 36 86 39 2 73 1 81 6 82 13 85 40 88 7 89 7 ============================================================================= V025028b C11x2. Cand Pty House Vote Summary ============================================================================= IF R VOTED IN COUNTY AND NOT WASHINGTON DC / IF R VOTED OUTSIDE COUNTY: IF R VOTED FOR HOUSE OF REPRESENTATIVES: QUESTION: --------- Who did you vote for? Did you vote for (the [Democrat/Republican], [/]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? / Who did you vote for? Which party was that? VALID CODES: ------------ 1. DEMOCRAT 2. REPUBLICAN 3. OTHER (third party or independent candidate) 7. Name not on candidate list for this race MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 3,4,6,8,9,0 in C2ax; 5,8,9,0 in C11a; no 2002 Post interview NOTES: ------ Built from C11ax, C11a2. TYPE: ----- Numeric Dec . 675 0 12 1 369 2 399 3 2 7 40 8 7 9 7 ============================================================================= V025029 C15. Summary-Senate Race Status ============================================================================= IF R VOTED: QUESTION: --------- SUMMARY: SENATE RACE STATUS VALID CODES: ------------ 1. Registered in county and race in state 2. Registered in county and no race in state 3. Registered outside county or DK/RF/NA where registered (incl. Washington DC) 4. Washington DC and registered in Washington DC MISSING CODES: -------------- INAP. 5,8,9,0 in C1x; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 549 1 525 2 407 3 30 ============================================================================= V025030 C15a. Did R Vote Senate ============================================================================= IF R VOTED: IF R VOTED IN COUNTY OF IW IN STATE WITH SENATE RACE:/ IF R VOTED OUTSIDE COUNTY OF INTERVIEW: QUESTION: --------- How about the election for the UNITED STATES SENATE? Did you vote for a candidate for the U.S. Senate? VALID CODES: ------------ 1. Yes, voted for Senate 5. No, didn't vote for Senate 7. R VOLUNTEERS: no race in state of vote (R VOTED OUTSIDE COUNTY OF RESIDENCE) MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C1x; 2,4 in C15; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 956 0 7 1 520 5 21 7 1 8 6 ============================================================================= V025031 C15a1. In County Cand R Senate Vote ============================================================================= IF R VOTED: IF R VOTED IN COUNTY OF IW IN STATE WITH SENATE RACE: IF R VOTED FOR SENATE: QUESTION: --------- Who did you vote for? Did you vote for (the [Democrat/Republican], [/]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? VALID CODES: ------------ 1. 5. 3. 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C1x; 2,3,4 in C15; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to be administered this questions with the name of the Democratic candidate read first or the name of the Republican candidate read first. Note: in LA there were 2 Republican candidates, the 2nd of which was preloaded into Senate independent/3rd-party candidate preload fields. Independent/3rd-party candidate names were read after any major party names. Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1015 0 1 1 233 3 10 5 228 7 18 8 2 9 4 ============================================================================= V025031a C15ax. Cand - in-county senate vote ============================================================================= IF R VOTED: IF R VOTED IN COUNTY OF IW IN STATE WITH SENATE RACE: IF R VOTED FOR SENATE: QUESTION: --------- CANDIDATE CODE SENATE VOTE - IN COUNTY VALID CODES: ------------ 01. Democratic candidate in open Senate race 02. Republican candidate in open Senate race 03. Democratic Senate incumbent 04. Republican Senate incumbent 05. Democratic Senate challenger 06. Republican Senate challenger 07. Third party or independent Senate cand - nonincumbent 08. Third party or independent Senate cand - 2nd nonincumbent 09. Third party or independent Senate cand - incumbent VOTED IN COUNTY OF IW BUT R GAVE NAME OUTSIDE DISTRICT OF IW 71. Democratic candidate 72. Republican candidate 73. Democratic incumbent 74. Republican incumbent 75. Democratic challenger 76. Republican challenger NAME NOT ON CANDIDATE LIST 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in C1x; 2,3,4 in C15; no 2002 Post interview TYPE: ----- Numeric Dec . 1015 0 1 1 69 2 86 3 120 4 91 5 44 6 59 7 2 85 18 88 2 89 4 ============================================================================= V025032 C15a2. Outside Cand R Senate Vote ============================================================================= IF R VOTED: IF R VOTED OUTSIDE COUNTY OF IW: IF R VOTED FOR SENATE: QUESTION: --------- Who did you vote for? VALID CODES: ------------ 71. Democratic candidate 72. Republican candidate 73. Democratic incumbent 74. Republican incumbent 75. Democratic challenger 76. Republican challenger 80. Third party or independent candidate 81. Democrat--no name given 82. Republican--no name given 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in C1x; 1,2,4 in C15; no 2002 Post interview NOTES: ------ If R voted outside county of interview but within the same state, the regular candidate code is used here (as found in C15ax, codes 1-9). TYPE: ----- Numeric Dec 0 . 1487 2 1 3 1 4 1 5 1 74 1 81 5 82 10 85 2 88 1 89 1 ============================================================================= V025033 C15a2a. Outside Party R Vote Senate ============================================================================= IF R VOTED: IF R VOTED OUTSIDE COUNTY OF IW: IF R VOTED FOR SENATE: QUESTION: --------- Which party was that? VALID CODES: ------------ 1. Democratic 5. Republican 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C1x; 1,2,4 in C15; no 2002 Post interview NOTES: ------ This is the respondent's identification of 'outside' candidate's party. TYPE: ----- Numeric Dec 0 . 1487 0 1 1 6 5 14 7 1 9 2 ============================================================================= V025034 C15ax1. Summary - Senate Vote ============================================================================= IF R VOTED: IF R VOTED IN STATE OF IW AND RACE IN STATE / IF R VOTED OUTSIDE STATE OF IW: IF R VOTED FOR SENATE: QUESTION: --------- CANDIDATE CODE SENATE VOTE SUMMARY - ALL VOTERS VALID CODES: ------------ 01. Democratic candidate in open Senate race 02. Republican candidate in open Senate race 03. Democratic Senate incumbent 04. Republican Senate incumbent 05. Democratic Senate challenger 06. Republican Senate challenger 07. Third party or independent Senate cand - nonincumbent 08. Third party or independent Senate cand - 2nd nonincumbent 09. Third party or independent Senate cand - incumbent VOTED IN COUNTY OF IW BUT R GAVE NAME OUTSIDE DISTRICT OF IW 71. Democratic candidate 72. Republican candidate 73. Democratic incumbent 74. Republican incumbent 75. Democratic challenger 76. Republican challenger VOTED OUTSIDE STATE OF IW: STATE WITH NO RUNNING INCUMBENT: (VOTE VAR ONLY) 71. Democratic candidate 72. Republican candidate STATE WITH RUNNING INCUMBENT: 73. Democratic incumbent 74. Republican incumbent 75. Democratic challenger 76. Republican challenger ALL STATES: 80. Third party or independent candidate 81. Democrat--no name given 82. Republican--no name given 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in C1x; 2,4 in C15; no 2002 Post interview NOTES: ------ Built from C15ax, C15a2. TYPE: ----- Numeric Dec 0 . 991 0 1 1 69 2 87 3 121 4 92 5 45 6 59 7 2 74 1 81 5 82 10 85 20 88 3 89 5 ============================================================================= V025034x C15ax2. Cand party - all Senate vote ============================================================================= IF R VOTED: IF R VOTED IN STATE OF IW AND RACE IN STATE / IF R VOTED OUTSIDE STATE OF IW: IF R VOTED FOR SENATE: QUESTION: --------- CANDIDATE PARTY SENATE VOTE SUMMARY - ALL VOTERS VALID CODES: ------------ 1. DEMOCRAT 2. REPUBLICAN 3. OTHER (third party or independent candidate) 7. Name not on candidate list for this race MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C1x; 2,4 in C15; no 2002 Post interview NOTES: ------ Built from C15ax, C15a2. TYPE: ----- Numeric Dec . 991 0 1 1 240 2 249 3 2 7 20 8 3 9 5 ============================================================================= V025035 C18a. Nonvoter Prefer House Cand ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: IF NOT WASHINGTON D.C.: QUESTION: --------- How about the election for the HOUSE OF REPRESENTATIVES in Washington? Did you PREFER one of the candidates for the U.S. House of Representatives? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,2,4,5,6 in C2ax; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 1128 0 7 1 64 5 306 8 5 9 1 ============================================================================= V025036 C18a1. House Cand Nonvoter Prefers ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: IF NOT WASHINGTON D.C.: IF R PREFERRED ONE OF THE U.S. HOUSE CANDIDATES: QUESTION: --------- Who did you prefer? Did you prefer (the [Democrat/Republican], [/ ]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? VALID CODES: ------------ 1. 5. 3. 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C18a; 1,2,4,5,6,8,9,0 in C2ax; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to be administered this questions with the name of the Democratic candidate read first or the name of the Republican candidate read first. Note: in LA05 there were 2 Republican candidates, the 2nd of which was preloaded into House independent/3rd-party candidate preload fields. Independent/3rd-party candidate names were read after any major party names. Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 1447 0 1 1 27 5 26 7 8 8 1 9 1 ============================================================================= V025037 C18ax1. Nonvoter Hse pref cand code ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: IF NOT WASHINGTON D.C.: IF R PREFERRED ONE OF THE U.S. HOUSE CANDIDATES: QUESTION: --------- NONVOTER HOUSE CANDIDATE PREFERENCE - CANDIDATE CODE VALID CODES: ------------ 31. Democratic House candidate in open race 32. Republican House candidate in open race 33. Democratic House incumbent 34. Republican House incumbent 35. Democratic House challenger 36. Republican House challenger 37. Third party or independent House cand - nonincumbent 38. Third party or independent House cand - 2nd nonincumbent 39. Third party or independent House cand - incumbent 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in C18a; 1,2,4,5,6,8,9,0 in C2ax; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 1447 0 1 31 5 32 1 33 16 34 18 35 6 36 7 85 8 88 1 89 1 ============================================================================= V025038 C18ax2. Sen race in state of IW? ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: QUESTION: --------- RACE IN STATE OF IW? VALID CODES: ------------ 1. State with race 2. State with no race (including Washington DC) MISSING CODES: -------------- INAP. 5,8,9,0 in C1x; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 549 1 420 2 542 ============================================================================= V025039 C19a. Nonvoter Prefer Senate Candidate ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: IF STATE WITH SENATE RACE: QUESTION: --------- How about the election for the UNITED STATES SENATE? Did you PREFER one of the candidates for the U.S. Senate? VALID CODES: ------------ 1. Yes 5. No MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 2 in C19; 5,8,9,0 in C1x; no 2002 Post interview TYPE: ----- Numeric Dec 0 . 1297 0 4 1 66 5 141 8 3 ============================================================================= V025040 C19a1. Senate Cand Nonvoter Prefers ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: IF STATE WITH SENATE RACE: R PREFERRED ONE OF THE U.S. SENATE CANDIDATES: QUESTION: --------- Who did you prefer? Did you prefer (the [Democrat/Republican], [/ ]) (or) (the [Republican/Democrat], [/]) (or the candidate, ) (or someone else?)? VALID CODES: ------------ 1. 5. 3. 7. Other {SPECIFY} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 5,8,9,0 in C19a; 2 in C19; 5,8,9,0 in C1x; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to be administered this questions with the name of the Democratic candidate read first or the name of the Republican candidate read first. Note: in LA there were 2 Republican candidates, the 2nd of which was preloaded into Senate independent/3rd-party candidate preload fields. Independent/3rd-party candidate names were read after any major party names. TYPE: ----- Numeric Dec 0 . 1445 1 32 3 1 5 31 7 1 9 1 ============================================================================= V025041 C19ax. Nonvoter Sen pref cand code ============================================================================= IF R DID NOT VOTE OR DK/NA IF VOTED: IF STATE WITH SENATE RACE: R PREFERRED ONE OF THE U.S. SENATE CANDIDATES: QUESTION: --------- NONVOTER SENATE CANDIDATE PREFERENCE - CANDIDATE CODE VALID CODES: ------------ 01. Democratic candidate in open Senate race 02. Republican candidate in open Senate race 03. Democratic Senate incumbent 04. Republican Senate incumbent 05. Democratic Senate challenger 06. Republican Senate challenger 07. Third party or independent Senate cand - nonincumbent 08. Third party or independent Senate cand - 2nd nonincumbent 09. Third party or independent Senate cand - incumbent 85. Name not on candidate list MISSING CODES: -------------- 88. Don't know 89. Refused 00. NA INAP. 5,8,9,0 in C19a; 2 in C19; 5,8,9,0 in C1x; no 2002 Post interview NOTES: ------ Code 6 includes the 2nd Republican Senate candidate in Louisiana (included in code 3 in C19a). TYPE: ----- Numeric Dec 0 . 1445 1 18 2 9 3 8 4 14 5 6 6 9 85 1 89 1 ============================================================================= V025042 C20. Congr Elections Conducted Fairly ============================================================================= QUESTION: --------- In some countries, people believe their elections are conducted fairly. In other countries, people believe that their elections are conducted unfairly. Thinking of the Congressional elections we"ve just had, do you believe they were VERY FAIR, SOMEWHAT FAIR, NEITHER FAIR NOR UNFAIR, SOMEWHAT UNFAIR, or VERY UNFAIR? VALID CODES: ------------ 1. Very fair 2. Somewhat fair 3. Neither fair nor unfair 4. Somewhat unfair 5. Very unfair MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 12 1 659 2 417 3 112 4 101 5 32 8 10 9 3 ============================================================================= ============================================================================= I"d like to get your feelings toward some people in the news these days. I"ll read the name of a person and I"ll ask you to rate that person on a thermometer that runs from 0 to 100 degrees. Rating above 50 means that you feel favorable and warm toward the person. Rating below 50 means that you feel unfavorable and cool toward the person. Rating right at the 50 degree mark means you don"t feel particularly warm or cold. You may use any number from 0 to 100 to tell me how favorable or unfavorable your feelings are. If we come to a person whose name you don"t recognize, just tell me and we"ll move on to the next one. ============================================================================= V025043 D1a. George W. Bush Thermometer ============================================================================= QUESTION: --------- The first person is: George W. Bush Where on that thermometer would you rate George W. Bush? {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025044 D1g. Dem House Cand Thermometer ============================================================================= IF R'S COUNTY OF RESIDENCE HAS A DEMOCRATIC HOUSE CANDIDATE: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No Democratic House candidate; error in district assignment preload (1 case); no 2002 Post interview NOTES: ------ Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025045 D1h. Rep House Cand Thermometer ============================================================================= IF R'S COUNTY OF RESIDENCE HAS A REPUBLICAN HOUSE CANDIDATE: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No Republican House candidate; error in district assignment preload (1 case); no 2002 Post interview NOTES: ------ Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025046 D1j. Retiring House Representative Therm ============================================================================= IF R'S COUNTY OF RESIDENCE HAS A RETIRING HOUSE REPRESENTATIVE: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No retiring House representative; error in district assignment preload (1 case); no 2002 Post interview NOTES: ------ Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025047 D1k. Dem Senate Cand Thermometer ============================================================================= IF R LIVES IN A STATE WITH A DEMOCRATIC SENATE CANDIDATE: IF DEMOCRATIC SENATE CANDIDATE IS NOT HOUSE RETIREE: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No Democratic Senate candidate; Democratic Senate candidate is also House retiree (1 in Cand.12a); no race in state or Washington DC; no 2002 Post interview NOTES: ------ If Democratic Senate candidate was also House retiree, then only the House retiree thermometer was asked (D1j). Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025048 D1m. Repub Senate Cand Thermometer ============================================================================= IF R LIVES IN A STATE WITH A REPUBLICAN SENATE CANDIDATE: IF REPUBLICAN SENATE CANDIDATE IS NOT HOUSE RETIREE: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No Republican Senate candidate; Republican Senate candidate is also House retiree (1 in Cand.12a); no race in state or Washington DC; no 2002 Post interview NOTES: ------ If Republican Senate candidate was also House retiree, then only the House retiree thermometer was asked (D1j). Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025049 D1m1. LA05 ONLY: 2nd Repub Senate Cand T ============================================================================= IF R LIVES IN LOUISIANA: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. Not Louisiana (no 2nd Republican Senate candidate); no 2002 Post interview NOTES: ------ In Louisiana only, there were 2 significant Republican challengers to the incumbent Democratic Senate candidate. Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025050 D1n. Ind/3rd Party House Cand Thermomete ============================================================================= IF INDEPENDENT/3RD PARTY HOUSE CAND.:/ IF LA05: QUESTION: --------- (The next person is:) (Where on that thermometer would you rate [him/her]?) {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?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No independent/3rd-party House candidate and not LA05; no 2002 Post interview NOTES: ------ In LA05 only, there were 2 significant Republican candidates facing a Democrat in an open race; for LA05, this variable represents the 2nd Republican candidate. Individual thermometers (D1) were administered in one of two possible orders following George W. Bush (fixed as 1st thermometer): D1a,D1g,D1h,D1j,D1m,D1m1,D1k D1a,D1h,D1g,D1j,D1k,D1m,D1m1 Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= ============================================================================= Still using the thermometer, how would you rate: ============================================================================= V025051 D2a. Supreme Court Thermometer ============================================================================= QUESTION: --------- (How would you rate:) the Supreme Court? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025052 D2b. Congress Thermometer ============================================================================= QUESTION: --------- (How would you rate:) Congress? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025053 D2c. Military Thermometer ============================================================================= QUESTION: --------- (How would you rate:) the Military? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025054 D2d. Federal Govt Thermometer ============================================================================= QUESTION: --------- (How would you rate:) the federal government in Washington? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025055 D2e. Blacks Thermometer ============================================================================= QUESTION: --------- (How would you rate:) blacks? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025056 D2f. Whites Thermometer ============================================================================= QUESTION: --------- (How would you rate:) whites? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025057 D2g. Conservatives Thermometer ============================================================================= QUESTION: --------- (How would you rate:) conservatives? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025058 D2h. Liberals Thermometer ============================================================================= QUESTION: --------- (How would you rate:) liberals? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025059 D2j. Labor Unions Thermometer ============================================================================= QUESTION: --------- (How would you rate:) labor unions? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025060 D2k. Big Business Thermometer ============================================================================= QUESTION: --------- (How would you rate:) big business? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025061 D2m. Poor People Thermometer ============================================================================= QUESTION: --------- (How would you rate:) poor people? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025062 D2n. People on Welfare Thermometer ============================================================================= QUESTION: --------- (How would you rate:) people on welfare? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025063 D2p. Hispanics Thermometer ============================================================================= QUESTION: --------- (How would you rate:) Hispanics (Hispanic-Americans)? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025064 D2q. Christian Fundamentalists Thermomet ============================================================================= QUESTION: --------- (How would you rate:) Christian fundamentalists? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025065 D2r. Elderly Thermometer ============================================================================= QUESTION: --------- (How would you rate:) older people (the elderly)? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025066 D2s. Environmentalists Thermometer ============================================================================= QUESTION: --------- (How would you rate:) environmentalists? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025067 D2t. Gay Men and Lesbians Thermometer ============================================================================= QUESTION: --------- (How would you rate:) gay men and lesbians, that is, homosexuals? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025068 D2u. Catholics Thermometer ============================================================================= QUESTION: --------- (How would you rate:) Catholics? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025069 D2v. Jews Thermometer ============================================================================= QUESTION: --------- (How would you rate:) Jews? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025070 D2w. Protestants Thermometer ============================================================================= QUESTION: --------- (How would you rate:) Protestants? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025071 D2y. Feminists Thermometer ============================================================================= QUESTION: --------- (How would you rate:) feminists? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025072 D2z. Asian-Americans Thermometer ============================================================================= QUESTION: --------- (How would you rate:) Asian-Americans? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025073 D2za. News Media Thermometer ============================================================================= QUESTION: --------- (How would you rate:) the news media? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= V025074 D2zb. Catholic Church Thermometer ============================================================================= QUESTION: --------- (How would you rate:) the Catholic Church? {PROBE FOR DON"T KNOW RESPONSE: WHEN YOU SAY "DON"T KNOW" DO YOU MEAN THAT YOU HAVE NEVER HEARD THE TERM BEFORE OR DO YOU HAVE SOMETHING ELSE IN MIND?} VALID CODES: ------------ 0-100. MISSING CODES: -------------- 887. Don't recognize 888. Don't know where to rate 889. Refused 999. NA INAP. No 2002 Post interview NOTES: ------ Individual thermometers (D2) were administered in one of two possible orders: D2za,a,b,c,d,zb,e,f,g,h,j,k,m,n,p,q,r,s,t,u,v,w,y,z / D2za,b,c,a,d,zb,h,g,k,j,f,e,m,n,p,q,r,s,t,w,v,u,y,z Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 ============================================================================= ============================================================================= I am going to read a list of words and phrases people may use to describe George W. Bush. For each, please tell me whether the word or phrase describes him. ============================================================================= V025075 D3a. Bush Trait -Leadership ============================================================================= IF R SELECTED FOR D3 GEORGE W. BUSH TRAITS: QUESTION: --------- In your opinion, does the phrase "he PROVIDES STRONG LEADERSHIP" describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL? VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for D4 traits; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D3 were randomly assigned to 1 of 2 possible sequential orders: D3a,b,c,d D3a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 830 0 2 1 154 2 337 3 136 4 51 9 1 ============================================================================= V025076 D3b. Bush Trait - Moral ============================================================================= IF R SELECTED FOR D3 GEORGE W. BUSH TRAITS: QUESTION: --------- What about "he is MORAL"? (Does this phrase describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for D4 traits; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D3 were randomly assigned to 1 of 2 possible sequential orders: D3a,b,c,d D3a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 830 0 2 1 192 2 347 3 94 4 31 8 9 9 6 ============================================================================= V025077 D3c. Bush Trait - Out of Touch ============================================================================= IF R SELECTED FOR D3 GEORGE W. BUSH TRAITS: QUESTION: --------- What about "he is OUT OF TOUCH WITH ORDINARY PEOPLE"? (Does this phrase describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for D4 traits; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D3 were randomly assigned to 1 of 2 possible sequential orders: D3a,b,c,d D3a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 830 0 2 1 82 2 167 3 240 4 185 8 3 9 2 ============================================================================= V025078 D3d. Bush Trait - Knowledgeable ============================================================================= IF R SELECTED FOR D3 GEORGE W. BUSH TRAITS: QUESTION: --------- What about "he is KNOWLEDGEABLE"? (Does this phrase describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for D4 traits; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D3 were randomly assigned to 1 of 2 possible sequential orders: D3a,b,c,d D3a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 830 1 112 2 336 3 158 4 72 8 2 9 1 ============================================================================= ============================================================================= I am going to read a list of words and phrases people may use to describe George W. Bush. For each, please tell me whether the word or phrase describes him. ============================================================================= V025079 D4a. Bush Trait - Leader ============================================================================= IF R SELECTED FOR D4 GEORGE W. BUSH TRAITS: QUESTION: --------- In your opinion, does the phrase "he PROVIDES STRONG LEADERSHIP" describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL? VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. R selected for D3 traits; no 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D4 were randomly assigned to 1 of 2 possible sequential orders: D4a,b,c,d D4a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 846 1 167 2 329 3 107 4 61 8 1 ============================================================================= V025080 D4b. Bush Trait -Cares Abt People ============================================================================= IF R SELECTED FOR D4 GEORGE W. BUSH TRAITS: QUESTION: --------- What about "he REALLY CARES ABOUT PEOPLE LIKE YOU"? (Does this phrase describe George W. Bush EXTREMELY WELL, QUITE WELLl, NOT TOO WELL, or NOT WELL AT ALL?) VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D4 were randomly assigned to 1 of 2 possible sequential orders: D4a,b,c,d D4a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 846 0 1 1 116 2 301 3 148 4 97 8 1 9 1 ============================================================================= V025081 D4c. Bush Trait - Dishonest ============================================================================= IF R SELECTED FOR D4 GEORGE W. BUSH TRAITS: QUESTION: --------- What about "he is DISHONEST"? (Does this phrase describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D4 were randomly assigned to 1 of 2 possible sequential orders: D4a,b,c,d D4a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 846 0 2 1 29 2 79 3 188 4 354 8 10 9 3 ============================================================================= V025082 D4d. Bush Trait - Intelligent ============================================================================= IF R SELECTED FOR D4 GEORGE W. BUSH TRAITS: QUESTION: --------- What about "he is INTELLIGENT"? (Does this phrase describe George W. Bush EXTREMELY WELL, QUITE WELL, NOT TOO WELL, or NOT WELL AT ALL?) VALID CODES: ------------ 1. Extremely Well 2. Quite Well 3. Not Too Well 4. Not Well at All MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview NOTES: ------ Respondents were randomly assigned to either D3 or D4 Bush traits questions. George W. Bush traits questions in D4 were randomly assigned to 1 of 2 possible sequential orders: D4a,b,c,d D4a,d,c,b Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 846 0 3 1 141 2 363 3 112 4 44 8 1 9 1 ============================================================================= V025083 E1. Before Election Party w/House Most ============================================================================= QUESTION: --------- Do you happen to know which party had the most members in the House of Representatives in Washington BEFORE the election [this/last] month? {IF NECESSARY: WHICH ONE?} {DON"T PROBE DK} VALID CODES: ------------ 1. The Democrats 5. The Republicans 7. About equal; above even; about the same [VOL] MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 3 1 543 5 426 7 10 8 363 9 1 ============================================================================= V025084 F5. R Follow Politics and Public Affairs ============================================================================= QUESTION: --------- Some people seem to follow what"s going on in government and public affairs most of the time, whether there"s an election going on or not. Others aren"t that interested. Would you say you follow what"s going on in government and public affairs MOST OF THE TIME, SOME OF THE TIME, ONLY NOW AND THEN, or HARDLY AT ALL? VALID CODES: ------------ 1. Most of the time 2. Some of the time 3. Only now and then 4. Hardly at all MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No 2002 Post interview TYPE: ----- Numeric Dec 0 . 165 0 2 1 440 2 580 3 238 4 85 9 1 ============================================================================= ============================================================================= We hear a lot of talk these days about liberals and conservatives. ============================================================================= V025085 G1a. Dem Hse Cand Liberal-Conservative ============================================================================= IF DEMOCRATIC CANDIDATE IN HOUSE RACE OR VT01: IF R RECOGNIZED DEMOCRATIC HOUSE CANDIDATE IN THERMOMETER: QUESTION: --------- When it comes to politics, do you think of []? Do you think [he/she] is a LIBERAL, a CONSERVATIVE, or a MODERATE? VALID CODES: ------------ 1. Liberal 2. Conservative 3. Moderate MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. No Republican House candidate; wrong district identification preloaded (1 case, 1 in Summary.1); R did not recognize Republican House candidate in thermometer (887 in D1h); no 2002 Post interview NOTES: ------ Note: if R indicated nonrecognition of the Republican House candidate's name in the D1h thermometer, then this question was not asked. Respondents were randomly assigned to be administered G1a/G1b (liberal-conservative placement of Democratic House candidate/Republican House candidate) with wording Democratic House candidate name first and Republican House candidate name second or vice versa. (Data in G1b are data for Republican House candidate regardless of order; data in G1a are data for Democratic House candidate regardless of order). Post randomization variables (e.g. PostRand.C1), which precede Post survey variables, provide case level identification of randomization assigned. TYPE: ----- Numeric Dec 0 . 556 0 3 1 72 2 412 3 322 8 144 9 2 ============================================================================= V025091 G1b1. Rep Hse Cand Liberal-How Strong ============================================================================= IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R RECOGNIZED REPUBLICAN HOUSE CANDIDATE IN THERMOMETER: IF R CONSIDERS REPUBLICAN HOUSE CANDIDATE LIBERAL: QUESTION: --------- Would you call [him/her] a STRONG liberal or a NOT VERY STRONG liberal? VALID CODES: ------------ 1. Strong liberal 5. Not very strong liberal MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 2,3,8,9,0 in G1b; no Republican House candidate; wrong district identification preloaded (1 case, 1 in Summary.1); R did not recognize Republican House candidate in thermometer (887 in D1h); no 2002 Post interview NOTES: ------ See notes G1b. TYPE: ----- Numeric Dec 0 . 1439 1 42 5 29 8 1 ============================================================================= V025092 G1b2. Rep Hse Cand Conservative-How Stro ============================================================================= IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R RECOGNIZED REPUBLICAN HOUSE CANDIDATE IN THERMOMETER: IF R CONSIDERS REPUBLICAN HOUSE CANDIDATE CONSERVATIVE: QUESTION: --------- Would you call [him/her] a STRONG conservative or a NOT VERY STRONG conservative? VALID CODES: ------------ 1. Strong conservative 5. Not very strong conservative MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,3,8,9,0 in G1b; no Republican House candidate; wrong district identification preloaded (1 case, 1 in Summary.1); R did not recognize Republican House candidate in thermometer (887 in D1h); no 2002 Post interview NOTES: ------ See notes G1b. TYPE: ----- Numeric Dec 0 . 1099 1 255 5 136 8 21 ============================================================================= V025093 G1b3. Rep Hse Cand Mod/DK -More Lib or C ============================================================================= IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R RECOGNIZED REPUBLICAN HOUSE CANDIDATE IN THERMOMETER: IF R CONSIDERS REPUBLICAN HOUSE CANDIDATE MODERATE/DK: QUESTION: --------- Do you think [he/she] is more like a LIBERAL or more like a CONSERVATIVE? VALID CODES: ------------ 1. Liberal 2. Conservative 3. Moderate {VOL} 7. Can't choose; neither {VOL} MISSING CODES: -------------- 8. Don't know 9. Refused 0. NA INAP. 1,2,9,0 in G1b; no Republican House candidate; wrong district identification preloaded (1 case, 1 in Summary.1); R did not recognize Republican House candidate in thermometer (887 in D1h); no 2002 Post interview NOTES: ------ See notes G1b. TYPE: ----- Numeric Dec 0 . 1045 0 6 1 79 2 253 3 4 7 4 8 120 ============================================================================= V025094 G1bx. Summary - Rep Hse cand Lib-Con ============================================================================= IF REPUBLICAN CANDIDATE IN HOUSE RACE: IF R RECOGNIZED REPUBLICAN HOUSE CANDIDATE IN THERMOMETER: QUESTION: --------- When it comes to politics, do you think of [