Meta-analysis in JASP

The JASP meta-analysis module was supported by a SSMART grant from the Berkeley Initiative for Transparency in the Social Sciences (BITSS), an initiative of the Center for Effective Global Action (CEGA). The new release of JASP supports an extensive arrange of commonly used techniques for meta-analysis. These include fixed and random effects analysis, fixed and mixed effects meta-regression, forest and…

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Announcing JASP 0.8.4: Meta-Analysis, Network Models, and More

The JASP team is happy to announce version 0.8.4. Here’s a select list of new features: A meta-analysis module; A network analysis module; Improved module layout; Stepwise methods for logistic regression; Effect size measures for post-hoc analyses in ANOVA/ANCOVA. In our next post we will take a closer look at the new functionality. For now, enjoy the new version! Like…

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Meta-analysis in JASP

The JASP meta-analysis module was supported by a SSMART grant from the Berkeley Initiative for Transparency in the Social Sciences (BITSS), an initiative of the Center for Effective Global Action (CEGA). The new release of JASP supports an extensive arrange of commonly used techniques for meta-analysis. These include fixed and random effects analysis, fixed and mixed effects meta-regression, forest and…

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How to Perform a Network Analysis in JASP

Network analysis is a relatively new and promising method for modeling interactions between large numbers of variables. Instead of trying to reduce the structure of the variables to their shared information, as is done in latent variable modeling, we estimate the relation between all variables directly. In this blogpost, we provide a short tutorial on how to do network analyses…

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Release Notes

0.11.1 Bug fixes:  Some analyses (Descriptives, Bayesian T-Test) do not work on Windows if the user account name has non-latin characters (jasp-issues #501 #505) AUDIT analyses hangs when adding computed columns Machine Learning Regression: non numeric column leads to error 0.11 New Features and improvements:  Machine Learning module Regression analyses  Boosting Regression  K-Nearest Neighbors Regression  Random Forest Regression  Regularized Linear Regression …

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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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JASP vs. SPSS

The first version of SPSS was published 59 years ago. The first version of JASP was published three years ago. How does an expensive IBM-developed program compare to the free and open source program which was until recently just developed by a handful of scientists? My approach for this review is as a university lecturer in psychology. Ease of learning…

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How to Use JASP

Welcome to the JASP Tutorial section. Below you can find all the analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files. Click on the JASP-logo to go to a blog post, on the play-button to go to the video on Youtube, or the GIF-button to go to the animated GIF-file. We’re working…

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Donate

JASP is an open-source statistics program that is free, friendly, and flexible. Developed by a dedicated team of programmers and academics, JASP aims to help people around the world draw informative conclusions from their data. You can speed up the development of JASP by making a donation. Your support will allow us to add new functionality to JASP, to provide…

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