A review of applications of the Bayes factor in psychological research.
Daniel W HeckUdo BoehmFlorian Böing-MessingPaul-Christian BürknerKoen DerksZoltan DienesQianrao FuXin GuDiana KarimovaHenk A L KiersIrene KlugkistRebecca M KuiperMichael D LeeRoger LeendersHidde J LeplaaMaximilian LindeAlexander LyMarlyne Meijerink-BosmanMirjam MoerbeekJoris MulderBence PalfiFelix D SchönbrodtJorge Nunes TendeiroDon van den BerghCaspar J van LissaDon van RavenzwaaijWolf VanpaemelEric-Jan WagenmakersDonald R WilliamsMaria A J Zondervan-ZwijnenburgHerbert HoijtinkPublished in: Psychological methods (2022)
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. (PsycInfo Database Record (c) 2022 APA, all rights reserved).