Understanding and Using the Implicit Association Test: III. Meta-Analysis of Predictive Validity

Eric Luis Uhlmann, Anthony Greenwald, Andrew Poehlmann and Mahzarin Banaji
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Eric Luis Uhlmann: Kellogg [Northwestern] - Kellogg School of Management [Northwestern University, Evanston] - Northwestern University [Evanston]
Anthony Greenwald: Department of Psychology - University of Washington [Seattle]
Andrew Poehlmann: Cox School of Management - SMU - Southern Methodist University [Dallas, TX, USA]
Mahzarin Banaji: Department of Psychology - Harvard University

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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: Implicit Association Test; implicit measures; validity; implicit attitudes; attitude–behavior relations (search for similar items in EconPapers)
Date: 2009-07
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Citations: View citations in EconPapers (123)

Published in Journal of Personality and Social Psychology, 2009, Vol.97, n°1, pp.17-41. ⟨10.1037/a0015575⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00516146

DOI: 10.1037/a0015575

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