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…
Read More
Probability distributions lie at the heart of most statistical analyses and thus are crucial for proper understanding and use of statistics. To help users work easily with various probability distributions, we created the ‘Distribution’ module. As of now, JASP currently covers 12 basic distributions, each available as a stand alone analysis panel: Continuous Normal Student’s t F-distribution Chi-squared Beta Gamma…
Read More
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…
Read More
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…
Read More
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…
Read More
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…
Read More
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.
Read More
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…
Read More
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…
Read More
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…
Read More
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…
Read More