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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I am proud to announce the release of our free textbook Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners by Danielle J. Navarro, David R. Foxcroft, and Thomas J. Faulkenberry. This textbook, which is freely downloadable from https://learnstatswithjasp.com, continues the series of open-source adaptations of the popular text Learning Statistics with R by Danielle Navarro. Learning…
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Mark Goss-Sampson’s manual “Statistical analysis with JASP: A guide for students” explains how to perform frequentist analyses in JASP. This manual has recently been updated to JASP 0.10.2.
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One of our latest releases, JASP 0.9.1, came with an exciting new feature: the ability to compute new variables. This post demonstrates how to use this new functionality by going over a few examples. When analyzing data, it can come in handy to create an extra column that contains a new variable, obtained from one or several of the existing…
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In this blog post we elaborate on the ideas behind Harold Jeffreys’s Bayes factor and illustrate this test with the Summary Statistics module in JASP. In a previous blog post we discussed the estimation problem, where the goal was to infer, from the observed data, the magnitude of the population effect. Before studying the size of an effect, however, we…
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This year’s International Meeting of the Psychometric Society took place in July, in New York. Within the JASP symposium “Psychometric analysis in JASP”, I had the chance to present the new Network Analysis module, released within the latest version of the software. The Network Analysis module, programmed by Don van Den Bergh, is based on Sacha Epskamp’s R package bootnet…
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With the latest release of JASP, the Structural Equation Modeling (SEM) module has received a few updates to make it more user-friendly. In this blogpost, we go through a famous example of latent mediation in order to show how the functionality of JASP’s SEM module can be used for advanced statistical modeling. The SEM module in JASP is based on…
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Released last week, JASP 0.9 contains a feature that many users have eagerly anticipated: filtering. This post demonstrates how to use the new filtering functionality by going over several examples. The filtering functionality in JASP has three interfaces: the Click Filter, the Drag and Drop Filter and the R Filter. To illustrate their use, we will analyze a couple of…
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Occasionally I get feedback from JASP users who write: “I would like to be able to edit data directly in JASP”. Each time I discuss this issue, however, I can convince our users that the way you can edit data with JASP is smarter. That’s why I’d like to expose my arguments in this blog post. First of all, you…
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When we designed JASP we faced a difficult choice: should we implement a standalone application or a web application? After due deliberation we chose the standalone option. We have revisited this decision several times but always ended up sticking to our initial choice. However, web applications do have some advantages over standalone versions. For instance, web applications are easy to…
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The independent samples -test is used to assess whether the means of two populations are equal to each other. This blog post shows how to perform the classical independent samples -test, i.e., the two-sample -test, in JASP. For this demonstration we consider the following example. Example on the Effect of Extra Reading Activities on Drp Scores Moore et al. (2009,…
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