Literature DB >> 19586237

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

Anthony G Greenwald1, T Andrew Poehlman, Eric Luis Uhlmann, Mahzarin R Banaji.   

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. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

Mesh:

Year:  2009        PMID: 19586237     DOI: 10.1037/a0015575

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


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