The JASP Blog

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…