Greenwald, Anthony G.Poehlman, T. AndrewUhlmann, Eric LuisBanaji, Mahzarin2017-11-032009Greenwald, Anthony G., T. Andrew Poehlman, Eric Luis Uhlmann, and Mahzarin R. Banaji. 2009. Understanding and using the Implicit Association Test: III. Meta-Analysis of predictive validity. Journal of Personality and Social Psychology 97, no. 1: 17–41. doi:10.1037/a0015575.1939-1315http://nrs.harvard.edu/urn-3:HUL.InstRepos:34325451This 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.en-USImplicit Association Testimplicit measuresvalidityimplicit attitudesattitude-behavior relationsJournal Article10.1037/a0015575