The BIAT and the AMP as measures of racial prejudice in political science: A methodological assessment

IF 2.5 2区 社会学 Q1 POLITICAL SCIENCE Political Science Research and Methods Pub Date : 2022-12-01 DOI:10.1017/psrm.2022.56
Katherine Clayton, J.D. Horrillo, P. Sniderman
{"title":"The BIAT and the AMP as measures of racial prejudice in political science: A methodological assessment","authors":"Katherine Clayton, J.D. Horrillo, P. Sniderman","doi":"10.1017/psrm.2022.56","DOIUrl":null,"url":null,"abstract":"\n Political scientists often use measures such as the Brief Implicit Association Test (BIAT) and the Affect Misattribution Procedure (AMP) to gauge hidden or subconscious racial prejudice. However, the validity of these measures has been contested. Using data from the 2008–2009 ANES panel study—the only study we are aware of in which a high-quality, nationally representative sample of respondents took both implicit tests—we show that: (1) although political scientists use the BIAT and the AMP to measure the same thing, the relationship between them is substantively indistinguishable from zero; (2) both measures classify an unlikely proportion of whites as more favorable toward Black Americans than white Americans; and (3) substantial numbers of whites that either measure classifies as free of prejudice openly endorse anti-Black stereotypes. These results have important implications for the use of implicit measures to study racial prejudice in political science.","PeriodicalId":47311,"journal":{"name":"Political Science Research and Methods","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Political Science Research and Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1017/psrm.2022.56","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 2

Abstract

Political scientists often use measures such as the Brief Implicit Association Test (BIAT) and the Affect Misattribution Procedure (AMP) to gauge hidden or subconscious racial prejudice. However, the validity of these measures has been contested. Using data from the 2008–2009 ANES panel study—the only study we are aware of in which a high-quality, nationally representative sample of respondents took both implicit tests—we show that: (1) although political scientists use the BIAT and the AMP to measure the same thing, the relationship between them is substantively indistinguishable from zero; (2) both measures classify an unlikely proportion of whites as more favorable toward Black Americans than white Americans; and (3) substantial numbers of whites that either measure classifies as free of prejudice openly endorse anti-Black stereotypes. These results have important implications for the use of implicit measures to study racial prejudice in political science.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
BIAT和AMP作为政治学中种族偏见的衡量标准:方法论评估
政治学家经常使用简短内隐联想测试(BIAT)和情感归因错误程序(AMP)等方法来衡量隐藏或潜意识的种族偏见。然而,这些措施的有效性一直受到质疑。使用2008-2009年ANES小组研究的数据,我们发现:(1)尽管政治科学家使用BIAT和AMP来测量同一事物,但它们之间的关系基本上无法区分;(2) 这两项指标都将不太可能的白人比例归类为对美国黑人比对美国白人更有利;以及(3)无论哪项措施,都有大量被归类为没有偏见的白人公开支持反黑人的刻板印象。这些结果对在政治学中使用隐含测量来研究种族偏见具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
8.10
自引率
0.00%
发文量
54
期刊最新文献
Introducing ICBe: an event extraction dataset from narratives about international crises Civic associations, populism, and (un-)civic behavior: evidence from Germany The effects of party labels on vote choice with realistic candidate differentiation Why do majoritarian systems benefit the right? Income groups and vote choice across different electoral systems Do presidents favor co-partisan mayors in the allocation of federal grants? – ADDENDUM
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1