The JASP Blog

‘How can we model the form of change in an outcome as time passes by?’, ‘Which statistical technique helps us to describe individual growth trajectory’s over time?’, ‘Can individual differences in an initial state and in change over time be analyzed?’ These questions are of importance to researchers who examine developmental, longitudinal, or consecutive measurements across multiple occasions. What solves…

We are happy to announce that JASP 0.16.1 has been released and is now available on our download page. JASP 0.16.1 contains the following new features and improvements: JASP is now available in French (incomplete). The Machine Learning module has been expanded so that you can now perform (1) Support Vector Machine regression and classification analyses, and (2) Decision Tree…

Researchers often have questions about inter-relationships between observed variables (indicators) and latent variables (factors). The Multiple Indicators and Multiple Causes (MIMIC) model is one of the models to quench the thirst for such questions! The latest JASP release provides MIMIC models as part of the SEM module. This tutorial introduces the idea of MIMIC models and, with a simple example,…

Many research questions in the social and behavioral sciences rely on between-group comparisons of scores on scales from questionnaires. But how do we know that the questionnaire measures the same thing across different groups? Such comparisons require measurement invariance to be appropriate. Multi-group-Modeling, an analytical approach that belongs to the class of Structural Equation Modeling (SEM), provides the toolbox that…

There are multiple statistical tests concerning a single parameter of interest such as t-test or a binomial test of proportions. Those tests can be performed with summary statistics that completely describe the observed data. In this new analysis, we extend the “Summary Statistics” module with a “General Bayesian Tests” analysis that allows us to evaluate the evidence in favor of…