Tutorial: WAMBS Checklist in JASP (using JAGS)

This tutorial illustrates how to follow the When-to-Worry-and-How-to-Avoid-the-Misuse-of-Bayesian-Statistics (WAMBS) Checklist (Depaoli and Van de Schoot, 2017) in JASP (JASP Team, 2020) using JAGS. Among many analytic techniques, we focus on the regression analysis and explain the 10 steps for the thorough application of Bayesian analysis. After the tutorial, we expect readers can refer to the WAMBS Checklist to sensibly apply the Bayesian statistics to answer their substantive research questions.

There are four preparatory tutorials in JASP that we provide. For readers who want to learn the fundamentals of JASP, we recommend reading JASP for beginners. For those who need nuts and bolts of Bayesian analyses in JASP, we suggest reading JASP for Bayesian analyses with default priors. For those who are keen on incorporating informative priors in JASP using JAGS, we guide you to read JASP for Bayesian analyses with informative priors (using JAGS). For those who need an advanced understanding of Bayesian regression in JASP, we recommend following Advanced Bayesian regression in JASP.