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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.
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https://hal-hec.archives-ouvertes.fr/hal-00516146
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Submitted on : Wednesday, September 8, 2010 - 7:32:52 PM
Last modification on : Saturday, June 25, 2022 - 10:51:23 AM

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Eric Luis Uhlmann, Anthony Greenwald, Andrew Poehlmann, Mahzarin Banaji. Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity. Journal of Personality and Social Psychology, American Psychological Association, 2009, Vol.97, n°1, pp.17-41. ⟨10.1037/a0015575⟩. ⟨hal-00516146⟩

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