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• W2098634430 abstract "The reliability of published research findings in psychology has been a topic of rising concern. Publication bias, or treating positive findings differently from negative findings, is a contributing factor to this “crisis of confidence,” in that it likely inflates the number of false-positive effects in the literature. We demonstrate a Bayesian model averaging approach that takes into account the possibility of publication bias and allows for a better estimate of true underlying effect size. Accounting for the possibility of bias leads to a more conservative interpretation of published studies as well as meta-analyses. We provide mathematical details of the method and examples." @default.
• W2098634430 created "2016-06-24" @default.
• W2098634430 creator A5043133155 @default.
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• W2098634430 date "2015-07-01" @default.
• W2098634430 modified "2023-09-25" @default.
• W2098634430 title "A Bayesian approach to mitigation of publication bias" @default.
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• W2098634430 doi "https://doi.org/10.3758/s13423-015-0868-6" @default.
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