Psychonomic Bulletin & Review· 2017Q1
Bayesian inference for psychology. Part II: Example applications with JASP
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- 2017year
Short summary
JASP, a new open-source graphical software, enables psychologists to perform Bayesian hypothesis tests for common statistical problems like t-tests, ANOVA, and regression with a simple mouse click.
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Key points
- JASP is a new, open-source, cross-platform graphical software for statistical analysis.
- It allows users to conduct Bayesian hypothesis tests for common psychological analyses (t-test, ANOVA, correlation, regression, contingency tables).
- JASP aims to overcome the lack of user-friendly software as an impediment to Bayesian test adoption.
- The software is based on the BayesFactor package for R.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Psychonomic Bulletin & Review, 2017 · DOI ↗
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Field: Experimental and Cognitive Psychology
Experimental and Cognitive PsychologyPsychology