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A review of applications of the Bayes factor in psychological research
Heck,Daniel W. Boehm,Udo Böing-Messing,Florian Bürkner,P Derks,K Dienes,Z Fu,Q Gu,X Karimova,Diana Kiers,H
Heck,Daniel W.
Boehm,Udo
Böing-Messing,Florian
Bürkner,P
Derks,K
Dienes,Z
Fu,Q
Gu,X
Karimova,Diana
Kiers,H
Abstract
The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models. We elaborate what each application entails, give illustrative examples, and provide an overview of key references and software with links to other applications. The paper is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines.
Description
Funding Information: The last author was supported by a fellowship from the Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS-KNAW).
Date
2023
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heck2021review.pdf
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Keywords
Bayes factor, evidence, hypothesis testing, model selection, theory evaluation
Citation
Heck, D W, Boehm, U, Böing-Messing, F, Bürkner, P, Derks, K, Dienes, Z, Fu, Q, Gu, X, Karimova, D, Kiers, H, Klugkist, I, Kuiper, R M, Lee, M D, Leenders, R, Leplaa, H J, Linde, M, Ly, A, Meijerink, M, Moerbeek, M, Mulder, J, Palfi, B, Schönbrodt, F, Tendeiro, J, van den Bergh, D, van Lissa, C, van Ravenzwaaij, D, Vanpaemel, W, Wagenmakers, E, Williams, D R, Zondervan-Zwijnenburg, M & Hoijtink, H 2023, 'A review of applications of the Bayes factor in psychological research', Psychological Methods, vol. 28, no. 3, pp. 558-579. https://doi.org/10.1037/met0000454