Frequentist and Bayesian Equivalence Testing in JASP

This post demonstrates the Equivalence Testing Module, new in JASP 0.12. In traditional hypothesis testing, both frequentist and Bayesian, the null hypothesis is often specified as a point (i.e., there is no effect whatsoever in the population). Consequently, in very large samples, small but practically meaningless deviations from the point-null will lead to its rejection. In order to take into…

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JASP for Education and Research; A Pilot Project at Utrecht University

At Utrecht University JASP is increasingly used by lecturers in statistics courses and by thesis students and researchers for the (Bayesian) evaluation of their data. To contribute to the further development of JASP and to facilitate its use at Utrecht University a pilot project has started executed by scientists from Utrecht University. Core features of this project are: the addition…

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Bayesian Inference in JASP: A New Guide For Students

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…

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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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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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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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Bayesian Modeling for Cognitive Science: A Workshop in Amsterdam

We are delighted to announce that registration is now open for the annual Amsterdam workshop on probabilistic modelling for cognitive science. The tenth installment of this workshop takes place August 17-21, 2020. Program In this workshop, plenary lectures provide the theoretical background of Bayesian statistics, and practical computer exercises teach participants how to use the popular JAGS and Stan programs…

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Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop in Amsterdam

The JASP Team is excited to announce that registration for our annual two-day Amsterdam workshop is now open. The workshop takes place on August 24-25, 2020. Program In this two-day workshop, plenary lectures provide the theoretical background of Bayesian statistics and Bayesian hypothesis testing; in addition, practical exercises demonstrate how the JASP program is applied to a wide range of…

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How a Simple Bayesian Test Could Have Rescued a Famous Clinical Trial

One of the features that we have recently added to JASP is a Bayesian “A/B test”, that is, a test for the equality of two binomial proportions. This test is especially popular in the analysis of clinical trial data, where the proportion of medical successes (or failures) from a treatment group is contrasted against those from a control group. The…

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JASP Workshop Materials

The JASP team has organized many workshops to teach a broader audience about (Bayesian) statistics with JASP. There has been a lot of interest in the workshop materials and, of course, we are happy to share them. So far, we only responded to requests individually, but due to the growing interest we decided to put a collection of workshop materials…

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