Table 1. Initial and Reluctant Respondents: A Demographic Profile\n(Based on unweighted data)<\/p>\n\n
Amenable Respondents Reluctant Respondents\n(No refusal) (Refusal conversion)\n(N=917) (N=542)\n% %\nSex\nMale 45 41\nFemale 55 59<\/p>\n\n
Race\nWhite 79 83\nBlack 13 9\nOther 8 8<\/p>\n\n
Age\nUnder 30 20 18\n30-49 44 40\n50-64 16 20\n65+ 17 17<\/p>\n\n
Education\nCollege Grad. 28 29\nSome College 24 25\nHigh School Grad. 37 37\nLess than H.S. Grad 11 9<\/p>\n\n
Family Income\n$75,000+ 10 14\n$50,000-$74,999 14 17\n$30,000-$49,999 26 24\n$20,000-$29,999 15 12\nLess than $20,000 23 20<\/p>\n\n
Region\nEast 20 19\nMidwest 25 26\nSouth 35 37\nWest 20 18<\/p>\n\n
Community Size\nLarge City 20 20\nSuburb 22 25\nSmall City\/Town 37 36\nRural Area 19 18<\/p>\n\n
Employment Status\nFull-Time 55 56\nPart-Time 12 8\nNot Employed 32 34<\/p>\n\n
Party ID\nRepublican 26 31\nDemocrat 33 33\nIndependent 36 30<\/p>\n\n
Table 2. Demographic and methodological predictors of racial attitudes\nOverall opinion Views on role of\nof Blacks racial discrimination\nUnstd Coeff. (S.E.) Std. Coeff. Unstd Coeff. (S.E.) Std. Coeff.\nFemale .107 ** (.037) .10 .127 (.080) .05<\/p>\n\n
Age -.000 (.001) -.01 -.003 (.002) -.04<\/p>\n\n
Education .035 ** (.012) .10 .073 ** (.026) .10<\/p>\n\n
Income .000 (.010) .00 .008 (.022) .01<\/p>\n\n
South -.050 (.039) -.04 -.254 ** (.083) -.10<\/p>\n\n
Political ideology .044 * (.020) .07 .172 ** (.043) .13<\/p>\n\n
Reluctant respondent -.122 ** (.047) -.11 -.264 ** (.099) -.11<\/p>\n\n
Black interviewer .055 (.039) .05 .331 ** (.084) .14<\/p>\n\n
Rigorous survey -.044 (.060) -.03 .080 (.126) .02<\/p>\n\n
Constant 2.854 (.113) 1.266 (.241)<\/p>\n\n
Number of cases 931 878\nF-statistic 5.38 *** 9.40 ***\nAdjusted R-squared .04 .08<\/p>\n\n
* p < or = .05\n** p < or = .01<\/p>\n\n
Note: Entries are unstandardized coefficients, standard errors, and standardized coefficients from least squares regression\nbased on unweighted data. Dependent variable in first equation is overall opinion toward Blacks. Responses range from\n1 (“very unfavorable”) to 4 (“very favorable”). Dependent variable in second equation is views concerning the main\nreason “many black people can’t get ahead these days” — a forced choice between “racial discrimination” or blacks\nthemselves are “mostly responsible for their own condition”. Responses range from 1 (believe “very strongly” that\nblacks themselves are responsible) to 4 (believe “very strongly” that racial discrimination is to blame). Full question\nwording is in Appendix 2.<\/p>\n\n
Response Rates\nThe following table presents the full disposition of sampled telephone numbers for the Standard and Rigorous surveys:<\/p>\n\n
Standard\nFive-Day Rigorous\nNon-sample numbers:\nTelephone number not in service\/\nnot working\/business number\/fax number 1297 1020<\/p>\n\n
Households never screened:\nNo answer\/busy\/answering machine\nNot available\/callback 938 185<\/p>\n\n
Households that refused 678 396<\/p>\n\n
Households with no eligible person:\nLanguage barrier\/health problem\/\nNo person 18 or older 221 227<\/p>\n\n
Households with eligible person:\nIncomplete interviews 42 33\nCompleted interviews 1000 1201<\/p>\n\n
TOTAL TELEPHONE NUMBERS 4176 3062<\/p>","protected":false},"excerpt":{"rendered":"
Table 1. Initial and Reluctant Respondents: A Demographic Profile (Based on unweighted data) Amenable Respondents Reluctant Respondents (No refusal) (Refusal conversion) (N=917) (N=542) % % Sex Male 45 41 Female 55 59 Race White 79 83 Black 13 9 Other 8 8 Age Under 30 20 18 30-49 44 40 50-64 16 20 65+ 17 […]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sub_headline":"","sub_title":"","_crdt_document":"","_prc_public_revisions":[],"bylines":[],"acknowledgements":[],"displayBylines":true,"relatedPosts":[],"reportMaterials":[],"multiSectionReport":[],"package_parts__enabled":false,"package_parts":[],"_prc_fork_parent":0,"_prc_fork_status":"","_prc_active_fork":0,"datacite_doi":"","datacite_doi_citation":"","_prc_seo_qr_attachment_id":0,"spoken_article_player_enabled":true,"footnotes":""},"categories":[28],"tags":[],"bylines":[],"collection":[],"datasets":[],"level_of_effort":[],"primary_audience":[],"information_type":[],"_post_visibility":[],"formats":[458],"_fund_pool":[],"languages":[],"regions-countries":[],"research-teams":[520],"class_list":["post-54888","post","type-post","status-publish","format-standard","hentry","category-race-ethnicity","formats-report","research-teams-politics"],"label":false,"post_parent":54873,"word_count":321,"canonical_url":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/politics\/1998\/05\/16\/tables\/","art_direction":false,"_embeds":[],"table_of_contents":[{"id":54873,"title":"Possible Consequences of Non-Response for Pre-Election Surveys","slug":"possible-consequences-of-non-response-for-pre-election-surveys","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/politics\/1998\/05\/16\/possible-consequences-of-non-response-for-pre-election-surveys\/","is_active":false},{"id":54888,"title":"Tables","slug":"tables","link":"https:\/\/alpha.pewresearch.org\/pewresearch-org\/politics\/1998\/05\/16\/tables\/","is_active":true},{"id":54899,"title":"Appendix 1. 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