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Psychon Bull Rev. 2018 Feb;25(1):58-76. doi: 10.3758/s13423-017-1323-7.

Bayesian inference for psychology. Part II: Example applications with JASP.

Author information

1
Department of Psychological Methods, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 VZ, Amsterdam, The Netherlands. EJ.Wagenmakers@gmail.com.
2
Department of Psychological Methods, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 VZ, Amsterdam, The Netherlands.
3
Birla Institute of Technology and Science, Pilani, India.
4
Masaryk University, Brno, Czech Republic.
5
University of California at Irvine, Irvine, CA, USA.
6
University of Missouri, Columbia, MO, USA.
7
Cardiff University, Cardiff, UK.

Abstract

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP ( http://www.jasp-stats.org ), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder's BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.

KEYWORDS:

Bayes factor; Hypothesis test; Posterior distribution; Statistical evidence

PMID:
28685272
PMCID:
PMC5862926
DOI:
10.3758/s13423-017-1323-7
[Indexed for MEDLINE]
Free PMC Article

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