Journal ArticleDOI
Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.
TLDR
A 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 as mentioned in this paper.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.read more
Citations
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Journal ArticleDOI
Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review
William J. Hall,Mimi V. Chapman,Kent M. Lee,Yesenia Merino,Tainayah Thomas,B. Keith Payne,Eugenia Eng,Steven M Day,Tamera Coyne-Beasley +8 more
TL;DR: Although some associations between implicit bias and health care outcomes were nonsignificant, results showed that implicit bias was significantly related to patient-provider interactions, treatment decisions, treatment adherence, and patient health outcomes.
Journal ArticleDOI
Effect size guidelines for individual differences researchers
Gilles E. Gignac,Eva T. Szodorai +1 more
TL;DR: In this article, a large sample of previously published meta-analytically derived correlations is used to evaluate Cohen's effect size guidelines from an empirical perspective, and it is suggested that Cohen's correlation guidelines are too exigent, as r ǫ = 0.10, 0.20, and 0.50 were recommended to be considered small, medium and large in magnitude, respectively.
Journal ArticleDOI
Implicit Bias among Physicians and its Prediction of Thrombolysis Decisions for Black and White Patients
Alexander R. Green,Dana R. Carney,Daniel J. Pallin,Long Ngo,Kristal L. Raymond,Lisa I. Iezzoni,Mahzarin R. Banaji +6 more
TL;DR: Results suggest that physicians’ unconscious biases may contribute to racial/ethnic disparities in use of medical procedures such as thrombolysis for myocardial infarction.
The Implicit Association Test at Age 7: A Methodological and Conceptual Review
TL;DR: In psychology, the ability to introspect comes with the palpable feeling of " knowing, " of being objective or certain, of being mentally in control of one's thoughts, aware of the causes of the thoughts, feelings, and actions, and of making decisions deliberately and rationally as discussed by the authors.
Journal ArticleDOI
Prejudice Reduction: What Works? A Review and Assessment of Research and Practice
TL;DR: Although some intergroup contact and cooperation interventions appear promising, a much more rigorous and broad-ranging empirical assessment of prejudice-reduction strategies is needed to determine what works.
References
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A Theory of Cognitive Dissonance
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TL;DR: In this paper, Neuberg and Heine discuss the notion of belonging, acceptance, belonging, and belonging in the social world, and discuss the relationship between friendship, membership, status, power, and subordination.
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Telling more than we can know: Verbal reports on mental processes.
TL;DR: In this paper, it was shown that people are sometimes unaware of the existence of a stimulus that influenced a response, unaware of its existence, and unaware that the stimulus has affected the response.
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Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.