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

Frederick L. Oswald, Gregory Mitchell, Hart Blanton, James Jaccard, Philip E. Tetlock

Research output: Contribution to journalArticlepeer-review

Abstract

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

Original languageEnglish (US)
Pages (from-to)171-192
Number of pages22
JournalJournal of personality and social psychology
Volume105
Issue number2
DOIs
StatePublished - Aug 2013

Keywords

  • Discrimination
  • Explicit measures of bias
  • Implicit Association Test
  • Predictive validity
  • Prejudice

ASJC Scopus subject areas

  • Social Psychology
  • Sociology and Political Science

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