Predicting ethnic and racial discrimination: a meta-analysis of IAT criterion studies

This article reports a meta-analysis of studies examining the predictive validity of the Implicit Association Test (IAT) and explicit measures of bias for a wide range of criterion measures of discrimination. The meta-analysis estimates the heterogeneity of effects within and across 2 domains of int...

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Vydáno v:Journal of personality and social psychology Ročník 105; číslo 2; s. 171
Hlavní autoři: Oswald, Frederick L, Mitchell, Gregory, Blanton, Hart, Jaccard, James, Tetlock, Philip E
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States 01.08.2013
Témata:
Brain - physiology
Ethnic Groups - psychology
Humans
Predictive Value of Tests
Racism - psychology
Social Discrimination - psychology
Word Association Tests - standards
ISSN:1939-1315, 1939-1315
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Shrnutí:This article reports a meta-analysis of studies examining the predictive validity of the Implicit Association Test (IAT) and explicit measures of bias for a wide range of criterion measures of discrimination. The meta-analysis estimates the heterogeneity of effects within and across 2 domains of intergroup bias (interracial and interethnic), 6 criterion categories (interpersonal behavior, person perception, policy preference, microbehavior, response time, and brain activity), 2 versions of the IAT (stereotype and attitude IATs), 3 strategies for measuring explicit bias (feeling thermometers, multi-item explicit measures such as the Modern Racism Scale, and ad hoc measures of intergroup attitudes and stereotypes), and 4 criterion-scoring methods (computed majority-minority difference scores, relative majority-minority ratings, minority-only ratings, and majority-only ratings). IATs were poor predictors of every criterion category other than brain activity, and the IATs performed no better than simple explicit measures. These results have important implications for the construct validity of IATs, for competing theories of prejudice and attitude-behavior relations, and for measuring and modeling prejudice and discrimination.
Bibliografie:ObjectType-Article-1
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ISSN:1939-1315
1939-1315
DOI:10.1037/a0032734