The JASP Blog

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…

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…

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…

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…

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…

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,…

Background The JASP Summary Stats module allows practitioners to complement frequentist analyses with a Bayesian alternative, and do so easily and efficiently. As the name suggests, the Summary Stats module only requires commonly-reported summary statistics such as the observed -value and the sample size . The ability to conduct Bayesian analyses from summary statistics is particularly useful when the raw…

This blog post explains how you, as a JASP user, can help improve the program — simply give us feedback whenever something is amiss. Specifically, whenever you notice that JASP cannot execute an important task (e.g., filter cases), you can tell us by issuing a feature request; whenever you notice that JASP malfunctions in some way (e.g., the font size…

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…