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• W2574657597 abstract "Implicit measures of the gender-science stereotype are often better than explicit measures in predicting relevant outcomes. This finding could reflect a discrepancy between implicit and explicit stereotypes, but an alternative is that the implicit measure is sensitive to constructs other than the stereotype. Analyzing an archival data set (total N = 478,550), we found that self-reported liking of science versus liberal arts was the best predictor of the gender-science implicit association test (IAT). In a reanalysis of a previous study and a replication of another study, we found that evidence for the IAT’s advantage over explicit stereotypes in predicting relevant outcomes disappeared when controlling for self-reported liking. Therefore, perhaps the IAT has often outperformed the explicit stereotype because the gender-science IAT captures personal attraction, whereas the explicit stereotype does not. It is premature to conclude that implicit constructs are superior to explicit constructs in predicting science-related plans and behavior." @default.
• W2574657597 created "2017-01-26" @default.
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• W2574657597 date "2017-01-19" @default.
• W2574657597 modified "2023-10-01" @default.
• W2574657597 title "What Is the Implicit Gender-Science Stereotype? Exploring Correlations Between the Gender-Science IAT and Self-Report Measures" @default.
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• W2574657597 doi "https://doi.org/10.1177/1948550616683017" @default.
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