The JASP Blog

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…

The analysis of categorical data has a long history and can be traced back to some of most influential statisticians: Karl Pearson and Sir Ronald Fisher. In 1900, Pearson first introduced the -statistic and thus the initial versions of the now known multinomial test and goodness-of-fit test. Today, the multinomial test and the goodness-of-fit test have become a standard procedure…

The one-sample t-test is used to answer the question of whether a population mean is the same as a specified number, also called the test value. This blog post shows how to perf-orm the classical version of the one-sample t-test in JASP. Let’s consider an example. Testing the Effect of Overeating on Weight Gain Our example dataset stems from a…

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…