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 for Mathematical Psychology is organized in Tilburg, closely following the workshops (July 19th – 22st). Students can receive ECs and a certificate of participation in each workshop. More information can be found below and ..read more

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 deconstructs a time series into individual components, such as trends or seasonality. It also allows for Bayesian variable selection, prediction about future values, and control charts. Quick introduction to state space m ..read more

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 a beta version of the Process module which allows users to apply frequentist process models. Besides covering many of the features of the SPSS macro, the JASP Process module provides a flexible and easy-to-use interface. It also makes the caus ..read more

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 the hands of coders, but also in the hands of the curious, the innovative, and other analytically skilled individuals who are not coders. “No-Code Data Science” is more than a book; it is a movement, a call to action ..read more

. 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 the Annual Meeting of the Society for Mathematical Psychology is organized in Tilburg, closely following the workshops (July 19th – 22st). Students can receive ECs and a certificate of participation in each workshop. More inf ..read more

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 an event would have happened later on. In this blogpost, we reproduce several outputs from Chapter 4: “Non-parametric methods: the Kaplan-Meier estimator” in Melinda Mill’s (2011) “Introducing Survival and Eve ..read 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 blogpost is here; a more extensive blogpost highlighting the new functionality will follow shortly. JASP 0.18.2 offers nonparametric survival analysis. Upcoming versions will expand this functionality. To provide a better installati ..read more

The JASP team finished version 0.18.2 just before Christmas. Because of the holidays we cannot provide the usual level of support, and this is why we decided to make the 0.18.2 version available as a beta release. The installation files are signed, however; release notes and installation files are available ON OUR GITHUB PAGE! Hightlights: JASP 0.18.2 offers extensive functionality for fitting process models, thanks to a collaboration with the eScience center. A teaser blogpost is here; a more extensive blogpost highlighting the new functionality is in preparation. JASP 0.18.2 offers nonparam ..read more

We are happy to call attention to another course book on JASP, “Mastering Statistics Using JASP” by James MacDougall. The text is based on many years of teaching statistics and research design at Eckerd College in St. Petersburg, Florida. The book description on Amazon is very promising — check it out: Mastering Statistics Using JASP is a complete first course in statistics. Its earlier editions were developed over several years using systematic student feedback, first in Introductory Statistics courses and later in year-long courses in Statistics & Research Design (experimental ..read more

For those of you who are attending Psychonomics in San Franciso this year: JASP has an exhibitor table in the Grand Ballroom. You are invited to drop by for a chat, pick up a hardcopy of our latest paper on JASP, and take home our new flyer for universities interested in joining the JASP community. I plan to be present at the stand during the poster sessions and probably other times as well Hope to see you soon! The post JASP at Psychonomics appeared first on JASP - Free and User-Friendly Statistical Software ..read more