Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.

Abstract
This review of 122 research reports (184 independent samples, 14,900 subjects) found average r = .274 for prediction of behavioral, judgment, and physiological measures by Implicit Association Test (IAT) measures. Parallel explicit (i.e., self-report) measures, available in 156 of these samples (13,068 subjects), also predicted effectively (average r = .361), but with much greater variability of effect size. Predictive validity of self-report was impaired for socially sensitive topics, for which impression management may distort self-report responses. For 32 samples with criterion measures involving Black-White interracial behavior, predictive validity of IAT measures significantly exceeded that of self-report measures. Both IAT and self-report measures displayed incremental validity, with each measure predicting criterion variance beyond that predicted by the other. The more highly IAT and self-report measures were intercorrelated, the greater was the predictive validity of each.
Funding Information
  • National Science Foundation (SBR-9422242; SBR-9710172; SBR-9422241; SBR-9709924)
  • National Institute of Mental Health (MH-01533; MH-41328; MH-57672)
  • Third Millennium Foundation
  • Rockefeller Foundation

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