00000caa a22000004a 4500 UP-8027390931312519132 Buklod 20200403164211.0 o--- | || || ta 200403s xx d r |||| u| (iLib)UPCEB-00011919561 DML Statistically small effects of the implicit association test can have societally large effects. [article]. pp. 553-561. Greenwald, Poehlmann, and Banaji (2009; GPUB hereafter) reported an average predictive validity correlation of r=.236 for Implicit Association Test (IAT) measures involving Black-White racial attitudes and stereotypes. Oswald, Mitchell, Blanton, Jaccard, and Tetlock (2013; OMBJT) reported a lower aggregated figure for correlations involving IAT measures (r=.148). The difference between the estimates of the 2 reviews was due mostly to their use of different policies for including effect sizes. GPUB limited their study to finding that assessed theoretically expected attitude-behavior and stereotype-judgment correlations along with others that the authors expected to show positive correlations. OMBJT included a substantial minority of correlations for which there was no theoretical expectation of a predictive relationship. Regardless of inclusion policy, both meta-analyses estimated aggregate correlational effect sizes that were large enough to explain discriminatory impacts that are societally significant either because they can affect many people simultaneously or because they can repeatedly affect single persons. - - (from the authors) Implicit Association Test-Periodicals. Predictive validity-Periodicals. Meta-analysis-Periodicals. Effect size-Periodicals. Discrimination-Periodicals. Greenwald, Anthony G. Banaji, Mahzarin R. Nosek, Brian A. Journal of Personality and Social Psychology. vol. 108,4. 2015. Analytics