How to Conduct a Bayesian Model-Averaged Meta-Analysis in JASP

JASP 0.12 brings Bayesian meta-analysis! Based on the metaBMA package (Heck, Gronau & Wagenmakers, 2019), JASP now includes Bayesian model-averaged meta-analysis so you no longer have to make an all-or-none choice between fixed and random effects models. Additionally, a constrained random effects approach is implemented which answers the question whether every study shows an effect in the same, expected direction.…

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Webinar: Theory and Practice of Bayesian Inference Using JASP

In June, 2019, three JASP team members (Alexander Etz, Julia Haaf, and Johnny van Doorn) taught a webinar on Bayesian inference for The Society for Personality and Social Psychology. The webinar provides a gentle introduction to Bayesian statistics and demonstrates how to perform Bayesian analyses using JASP. The video is structured as follows: Bayesian basics Bayesian hypothesis testing and the…

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JAGS Meets JASP

Data from the reproducibility project. The x-axis shows the effect size of the original studies, the y-axis shows the effect size of the replications. The color indicates whether a replication was significant (purple) or not (black). A linear regression line is fit for each group. Figure from JASP. If there is one thing that caused widespread adoption of Bayesian inference,…

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The Visual Modeling Module

This is a guest post by Dustin Fife, responsible for the Visual Modeling module in JASP. Years ago when I worked as a biostatistician, I was assigned to analyze the data for a local luminary in the field of Muscular Sclerosis. This analysis would lead to a conference submission, at least, and likely a publication. The man provided me a…

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Discover Distributions in JASP

Probability distributions lie at the heart of most statistical analyses and thus are crucial for proper understanding and use of statistics. To help researchers, students, and lecturers work easily with various probability distributions, we created the ‘Distribution’ module which is one of the new features of the upcoming version of JASP. As of now, JASP currently covers 12 basic distributions,…

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The Wonderful World of Marginal Means

This post was inspired by a conversation I had with Henrik Singmann, maintainer of the glorious afex package. The latest iteration of JASP, version 0.12, features a much sought after functionality in ANOVA’s: specifying custom contrasts! This development sparked a lively discussion with some team members about the available options when following up on a detected main effect in an…

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Announcing JASP 0.12

JASP 0.12.0 has been released and is now available on our download page. DISCLAIMER: In developing this new version, we recently ran into a persistent bug on Macbooks containing an Intel Iris GPU. This bug can cause JASP to crash. We are working on a solution for this issue, so for Mac users with an Intel Iris GPU: please be…

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A Sneak Peek at JASP 0.12

JASP 0.12 will offer important new functionality, including: Bayesian meta-analysis; Classical and Bayesian equivalence testing; Discover distributions; Visual modeling with Flexplot; and various additions to ANOVA. Also, JASP 0.12 offers improved annotation facilities, and our first language other than English — Dutch! (other languages will follow). Just set your language preference to Dutch, and the GUI, the output, and the…

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Mediation and Moderation Analysis in JASP

Over the past few years, we’ve found that mediation and moderation analysis are highly requested features. Since version 0.10.1, JASP can do both! This blogpost goes through two introductory examples, showing how mediation and moderation can be performed in JASP. Mediation means that the effect of a variable X on variable Y is (partially) indirect, through the variable M. Moderation…

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How to Use JASP: JASP on YouTube

This blogpost provides an overview of the JASP tutorials available on YouTube. We will discuss the available tutorials and highlight some of the videos. First, the video’s by Erin Buchanan, professor in Cognitive Analytics at Harrisburg University of Science and Technology. Erin Buchanan owns the YouTube page ‘Statistics of DOOM’. The channel contains video tutorials for different statistical programs as…

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