Mark Goss-Sampson’s popular manual “Statistical analysis with JASP: A guide for students” has now been followed up by a new guide that focuses on Bayesian inference. The guide first introduces the JASP interface and data handling procedures, and then outlines the Bayesian terminology together with an explanation of the different plots that are typically produced by the analyses. Next, the manual illustrates how to perform, understand, and report the results of common Bayesian analyses in JASP. The manual is up to date with the current version of JASP, which is 0.12.2. The following analyses are covered in the manual:

• One sample t-test
• Binomial and multinomial tests
• Independent samples t-test / Mann-Whitney test
• Paired samples t-test
• Regression
• Independent ANOVA
• Repeated measures ANOVA
• Mixed factor ANOVA
• Contingency tables
• The BAIN module

Below is a representative screenshot of the manual, taken from the chapter on the t-test:

In general, this attractive Bayesian guide emphasizes the visual display of information and illustrates key analysis procedures with simple examples. We expect this manual to resonate with students, teachers, and researchers.

Note that the guide does not introduce the key concepts of Bayesian analyses, as many other books and reviews cover this material in much more depth. Some easy reading papers on Bayesian inference using JASP are listed in the guide. Data sets used in this document are available for download from https://osf.io/8qtu2/. EJ Wagenmakers and Johnny van Doorn provided feedback on an earlier draft of this guide.

---

 

Like this post?

Subscribe to our newsletter to receive regular updates about JASP including our latest blog posts, JASP articles, example analyses, new features, interviews with team members, and more! You can unsubscribe at any time.

---