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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An outsized focus on the explanatory value of conscious thought can constrain opportunities to more rigorously examine the influence of less obvious drivers of consumer behavior. This article proposes a more precise, disaggregated, and minimized perspective on consciousness, distinguishing it from other higher-order mental processes (i.e., deliberation, intentionality, control, and effort). A more circumscribed perspective on consciousness, we argue, facilitates attempts to examine the causal impact of low-level, biological, or otherwise unconscious influences, bringing these into the frame of inquiry. Accordingly, we outline how a reduced reliance on consciousness as an explanatory construct deepens inquiry into the processes guiding choice, self-control, and persuasion. Lastly, in a set of recommendations centering on theory, methods, and training, we suggest ways for consumer researchers to evaluate more critically whether the contents of consciousness play a meaningful role in driving behavior.