Had missed that new version of JASP was released on June 5th - 0.97.1.
All users might want to upgrade:
"Fixed an issue where numbers over 4 significant figures where sometimes rounded off in the results in a rather misleading, perhaps wrong way. We're very sorry about that! It sneaked in during the adding of locale specific support. https://github.com/jasp-stats/jasp-issues/issues/4266 (Sum in descriptives gave the wrong value)"
#statstab #534 Model-averaged Bayesian t tests
Thoughts: I find this testing ensemble approach very amenable to theory building. Check a few models that include/exclude assumptions you may/not care about.
#robust #ttest #bayes #bma #jasp
https://link.springer.com/article/10.3758/s13423-024-02590-5
One of the most common statistical analyses in experimental psychology concerns the comparison of two means using the frequentist t test. However, frequentist t tests do not quantify evidence and require various assumption tests. Recently, popularized Bayesian t tests do quantify evidence, but these were developed for scenarios where the two populations are assumed to have the same variance. As an alternative to both methods, we outline a comprehensive t test framework based on Bayesian model averaging. This new t test framework simultaneously takes into account models that assume equal and unequal variances, and models that use t-likelihoods to improve robustness to outliers. The resulting inference is based on a weighted average across the entire model ensemble, with higher weights assigned to models that predicted the observed data well. This new t test framework provides an integrated approach to assumption checks and inference by applying a series of pertinent models to the data simultaneously rather than sequentially. The integrated Bayesian model-averaged t tests achieve robustness without having to commit to a single model following a series of assumption checks. To facilitate practical applications, we provide user-friendly implementations in JASP and via the $$\texttt {RoBTT}$$ RoBTT package in $$\texttt {R}$$ R . A tutorial video is available at https://www.youtube.com/watch?v=EcuzGTIcorQ
On 16 and 17 February, the #JASP team organised a #hackathon where 27 participants from 6 countries learned how to contribute to their own modules to the JASP ecosystem!
Special thanks to @EJWagenmakers, @pabrod, Stefan Verhoeven & Zowi Mens for making the event a success!
#statstab #486 Testing Bayesian Informative Hypotheses in Five Steps With JASP and R {bain}
Thoughts: The BAIN module let's you go beyond "effect vs no effect" by specifying contrasts (hyp) & obtaining fractional BFs.
#bain #jasp #bayesfactor #bayesian #rstats #r #hypothesis #nhbt #BF #methods #tutorial #guide
https://share.google/cTDvBO7SQM9CpNqlU
#ICYMI: The seats for the Build Your Own #JASP Module #hackathon are quickly running out. It is not only free, we are even offering travel grants!
Want to join us in Amsterdam on 16 and 17 February?
Register here ➡️ https://jasp-stats.org/2026/01/27/apply-for-the-escience-jasp-hackathon-in-amsterdam-update-and-last-call/
On 16-17 February 2026 the Netherlands eScience Center is hosting a two-day JASP hackathon in Amsterdam. The purpose of the hackathon is to guide participants into developing their very own JASP module; the JASP programming team will be present to… Continue reading →
I have been following and used #JASP on and off over the years and I liked it a lot.
This tutorial makes it really interesting!
"Measurement Invariance with Moderated (Non-)Linear Factor Analysis in JASP"
https://osf.io/preprints/psyarxiv/6ftqg_v1
I hope I can trial it soon!
Do you want to develop your own module in #JASP?
Join our free hackathon on 16-17 February 2026 in Amsterdam!
For more information and registration, see 👉 https://jasp-stats.org/2025/11/21/apply-for-the-escience-jasp-hackathon-and-build-your-own-module-in-amsterdam/
Are you interested in developing your own module in #JASP?
Join our free hackathon on 16-17 February 2026.
More information and registration:
https://jasp-stats.org/2025/11/21/apply-for-the-escience-jasp-hackathon-and-build-your-own-module-in-amsterdam/
Rihards Olups
Dr Mircea Zloteanu 🌺🌞🍃
jsilvonen
Netherlands eScience Center
Jan R. Boehnke