Bayesian hypothesis testing: Editorial to the special issue on Bayesian data analysis

Herbert Hoijtink, Sy Miin Chow

Research output: Contribution to journalEditorialpeer-review

3 Scopus citations

Abstract

In the past 20 years, there has been a steadily increasing attention and demand for Bayesian data analysis across multiple scientific disciplines, including psychology. Bayesian methods and the related Markov chain Monte Carlo sampling techniques offered renewed ways of handling old and challenging new problems that may be difficult or impossible to handle using classical approaches. Yet, such opportunities and potential improvements have not been sufficiently explored and investigated. This is 1 of 2 special issues in Psychological Methods dedicated to the topic of Bayesian data analysis, with an emphasis on Bayesian hypothesis testing, model comparison, and general guidelines for applications in psychology. In this editorial, we provide an overview of the use of Bayesian methods in psychological research and a brief history of the Bayes factor and the posterior predictive p value. Translational abstracts that summarize the articles in this issue in very clear and understandable terms are included in the Appendix.

Original languageEnglish (US)
Pages (from-to)211-216
Number of pages6
JournalPsychological Methods
Volume22
Issue number2
DOIs
StatePublished - Jun 2017

All Science Journal Classification (ASJC) codes

  • Psychology (miscellaneous)

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