Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.
Journal of Personality and Social PsychologyPublished 1 July 2009Open access
Anthony G. Greenwald, T. Andrew Poehlman, Eric Luis Uhlmann, Mahzarin R. Banaji
Citations3,218
SJR quartileQ1
SJR score3.87
SNIP3.12
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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.
Keywords
PsychologySocial Sciences
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