TY - JOUR
T1 - A Review of Applications of the Bayes Factor in Psychological Research
AU - Heck, Daniel W.
AU - Boehm, Udo
AU - Böing-Messing, Florian
AU - Bürkner, Paul Christian
AU - Derks, Koen
AU - Dienes, Zoltan
AU - Fu, Qianrao
AU - Gu, Xin
AU - Karimova, Diana
AU - Kiers, Henk A.L.
AU - Klugkist, Irene
AU - Kuiper, Rebecca M.
AU - Lee, Michael D.
AU - Leenders, Roger
AU - Leplaa, Hidde J.
AU - Linde, Maximilian
AU - Ly, Alexander
AU - Meijerink-Bosman, Marlyne
AU - Moerbeek, Mirjam
AU - Mulder, Joris
AU - Palfi, Bence
AU - Schönbrodt, Felix D.
AU - Tendeiro, Jorge N.
AU - van den Bergh, Don
AU - Van Lissa, Caspar J.
AU - van Ravenzwaaij, Don
AU - Vanpaemel, Wolf
AU - Wagenmakers, Eric Jan
AU - Williams, Donald R.
AU - Zondervan-Zwijnenburg, Mariëlle
AU - Hoijtink, Herbert
N1 - Publisher Copyright:
© 2022 American Psychological Association
PY - 2022/3/17
Y1 - 2022/3/17
N2 - 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 article is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines.
AB - 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 article is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines.
KW - Bayes factor
KW - evidence
KW - hypothesis testing
KW - model selection
KW - theory evaluation
UR - https://www.scopus.com/pages/publications/85130622750
U2 - 10.1037/met0000454
DO - 10.1037/met0000454
M3 - 文献综述
C2 - 35298215
AN - SCOPUS:85130622750
SN - 1082-989X
VL - 28
SP - 558
EP - 579
JO - Psychological Methods
JF - Psychological Methods
IS - 3
ER -