Accounting for Publication Bias with Robust Bayesian Meta-Analysis in JASP

JASP 0.14 brings robust Bayesian meta-analysis (RoBMA). This extension of Bayesian meta-analysis allows researchers to adjust for publication bias when conducting model-averaged meta-analysis. RoBMA applies a set of twelve models simultaneously, some assuming publication bias and some assuming no publication bias. The inference will then be based most strongly on the models that predicted the data best. In other words,…

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Introducing JASP 0.14

JASP 0.14 has been released and is now available on our download page. JASP 0.14 contains the following new features and improvements: Publication bias-adjusted meta-analysis. JASP version 0.14 adds frequentist selection models as well as Robust Bayesian meta-analysis to correct for publication bias. Head over to our tutorial videos and a tutorial paper to learn how to use these analyses.…

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A Sneak Peek at JASP 0.14

JASP 0.14 will offer important new functionality, including: Robust Bayesian meta-analysis; Selection models; Learn Bayes module; PDF export of result; Choose your font; German translation; Frequentist partial correlations; Confidence and prediction intervals in linear regression; And new distributions in the distributions module (log-normal and logistic). Stay tuned for JASP 0.14! Out soon.

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Theory and Practice of Bayesian Hypothesis Testing: An Online JASP Workshop

This is an update regarding the JASP summer workshop “Theory and Practice of Bayesian Hypothesis Testing” scheduled for August 24-25, 2020. Due to the pandemic, the workshop will take place online. However, we aim to make use of a number of tools to create a smooth, fun, and interactive learning experience. Lectures will be held on Zoom, and video recordings…

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A Hack for Editing JASP Graphs

From JASP 0.13 onwards, it is possible to save JASP graphs “as pptx”, courtesy of the R package “officer”. The resulting .pptx file can then be easily edited in Powerpoint or its open-source cousin Impress. Hence, “save as pptx” offers a new opportunity to edit JASP graphs. Obviously this is a temporary patch and not the ultimate solution; full graph…

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JASP 0.13.1: Small fixes

JASP 0.13.1 fixes several small issues. Specifically: Previously, our new “save as powerpoint” option for figures did not work on MacOS. Now it does. For some time, JASP was unstable on MacOS with Intel Iris GPU. This has now been fixed. Windows users with a “foreign” character in their username experienced problems. We have resolved this. A bug concerning changing…

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Bayesian Cognitive Modeling Workshop Postponed to 2021

This is an update regarding the Amsterdam summer workshop “Bayesian Modeling for Cognitive Science” originally scheduled for August 17-21, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned. With a heavy heart, we therefore decided to postpone the workshop to next year. We believe that the…

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JASP Workshop Goes Online, Fees Reduced

This is an update regarding the JASP summer workshop “Theory and Practice of Bayesian Hypothesis Testing” originally scheduled for August 24-25, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned. We therefore decided to offer an online version of the workshop on the same dates. The…

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Introducing JASP 0.13

JASP 0.13 has been released and is now available on our download page. JASP 0.13 contains the following new features and improvements: Linear Mixed Models and Generalized Linear Mixed Models. JASP version 0.13 adds the possibility to analyze both classical and Bayesian linear mixed models and generalized linear mixed models. This analysis is now available on the ribbon, in between…

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Training Videos for Using JASP in Online Statistics Instruction

As statistics instructors, students, and researchers around the world discover JASP, more of them a seeking guidance on how to use it. When your software is being developed at “breakneck speed” it is sometimes difficult to keep up with training. The JASP team has added a series of training videos for common frequentist statistical tests using the newest JASP Version…

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Finished: The JASP Data Library (1st ed.)

In a previous post, “Hell is other people’s data”, we introduced a first attempt to document the 50 data sets that constitute the JASP Data Library. At the time, we only had a preface and two chapters. We are happy to report that all 50 data sets have now been documented. Each of the 50 chapters follows the JASP data…

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