Competens Support for JASP: An Interview with Don van den Bergh

Recently JASP has received generous financial support from the Competens Foundation (https://competens.nl/). This foundation manages an IT skills fund with the express purpose to stimulate growth and innovation by supporting IT projects throughout The Netherlands. With the support from the Competens Foundation the JASP team was fortunate to be able to re-hire a highly competent R programmer and JASP veteran:…

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Reminder: Two Annual Workshops in Amsterdam, Summer 2024

There are still open spots left for our two summer workshops in 2024. Register here to join us in Amsterdam this July. Similar to previous years, there will be one workshop focused on Bayesian cognitive modeling (together with Michael Lee) and one dedicated to Bayesian hypothesis testing in JASP (together with Richard Morey). Note that the Annual Meeting of the Society…

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Reminder: Two Annual Workshops in Amsterdam, Summer 2024

There are still open spots left for our two summer workshops in 2024. Register here to join us in Amsterdam this July. Similar to previous years, there will be one workshop focused on Bayesian cognitive modeling (together with Michael Lee) and one dedicated to Bayesian hypothesis testing in JASP (together with Richard Morey). Note that the Annual Meeting of the Society…

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Bayesian State Space Models in JASP

This blog article demonstrates how to use the new Bayesian state space JASP module to analyse time series data. Normally, state space models are difficult to construct, but the new module makes the powerful state space approach available with the click of a few buttons! It is based on the bsts package (Scott, 2020) which covers Gaussian linear state space models and…

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New: A Tutorial Paper on Binary Classification with JASP

Abstract Medical professionals, patients, students, and the public at large regularly need to interpret the outcome of medical tests. These tests are error-prone, however, and the fact that the outcome is positive (or negative) does not establish with certainty that the disease is present (or absent). The correct interpretation of the test outcome demands that Bayes’ rule is used to…

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Causal Inference in JASP: The Process Module

This post is also published on the blog of the Netherlands eScience Center. In a recent blog post, we announced the development of a JASP module for conditional process models, similar to the popular PROCESS macro for SPSS (Hayes, 2022a, 2022b). We can now share that we reached a milestone in our development efforts: The latest JASP release 18.2 includes…

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New Book: “No Code Data Science” with Orange and JASP

We are happy to call attention to the book “No Code Data Science: Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence” by David Patrishkoff and Robert E. Hoyt.  The preface sketches the authors’ goal : In this age marked by an onslaught of dirty, missing, confusing, collinear, irrelevant, and misleading data, the power of data science lies not only in…

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Registration Open for Two Annual Workshops in Amsterdam, Summer 2024

. We’re excited to announce that the registrations for our two summer workshops in 2024 are now open! Similar to previous years, there will be one workshop focused on Bayesian cognitive modeling (together with Michael Lee) and one dedicated to Bayesian hypothesis testing in JASP (together with Richard Morey). Register and come join us in Amsterdam this July. Note that…

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Non-parametric Survival Analysis in JASP

Survival analysis is an ubiquitous tool primarily used for evaluating interventions in clinical trials and device assessments in medicine, but it is also commonly used for assessing reliability of components in engineering etc. It allows us to analyze time-to-event data in case some of the observations are censored–i.e., not all events occurred in the follow-up timeframe and we know that…

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Introducing JASP 0.18.2: PROCESS, Survival Analysis, and More

Happy new year! JASP version 0.18.2 is now available from our download page. This is the same version that we made available earlier from our GitHub page, as explained in the previous blog post. To remind you of the 0.18.2 highlights: JASP 0.18.2 offers extensive functionality for fitting process models, thanks to a collaboration with the eScience center. A teaser…

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