#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/
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/
I am realizing something about #LLM use and teaching: it means, if I want to make sure I'm assessing student learning and not student saying-stuff-to-chatgpt, I can't trust students as much or give them the benefit of the doubt. Tonight a student produced some graphs for her results on a stats project that had an extra variable thrown in that wasn't part of her original hypotheses. It was in her dataset, so it wasn't bizarre, and it made some sense, but there were a few things that in the past I would have said were just students being students: no error bars, odd wording of axis labels, and like that. Historically, these (for me) have been within the bounds of "students kind of missing the boat a bit."
Now I think it could be that or it could be that chatGPT or grok or some other LLM cranked these graphs out, or possibly spit out the instructions for making them in #JASP.
I can't trust the student anymore. I can't give her the benefit of the doubt. There is an ever-present alternative explanation for all faults in student work, and it's a very strong explanation.
Why would a for-profit company want to invest in Open-Source Software? Our
collaborator, the creator of the statistics software #JASP, will tell you why 👉 https://blog.esciencecenter.nl/8c81bad92d79?source=friends_link&sk=e5766de706dfd576a5872b69c6d97572
🇬🇧 What is learned in the cradle is carried to the grave
🇳🇱 Jong geleerd is oud gedaan
First developed at the @uva_amsterdam , #JASP (https://fosstodon.org/@JASPStats) is a free, cross-platform software program with an advanced graphical user interface. It is widely used for conducting and teaching statistics, and is often compared to #SPSS... give it a try if you want to break the lifelong IBM SPSS dependence for yourself and (future) organization!
@EJWagenmakers Although I do not use #JASP, but #RKWard, I recommend it to the bachelor and master students I teach in #biotechnology and #forensics. This is a great resource.
#statstab #382 The JASP Guidelines for Conducting and Reporting a Bayesian Analysis
Thoughts: @JASPStats is often people's first attempt at Bayesian statistics. But proper inference and reporting is crucial.
#JASP #Bayesian #BayesFactor #guide #tutorial
https://link.springer.com/article/10.3758/s13423-020-01798-5
#statstab #345 Best practices for your confirmatory factor analysis: A JASP and lavaan tutorial
Thoughts: Don't want to install #R but still want to do SEM/CFA with {lavaan}, @JASPStats is your friend!
Ah, Finals Week, that time when a few students email to tell you they're having a very hard time with exams, projects, whatever because--despite weeks of warning--they decided to leave town a few days ago.
Note: #JASP is the stats software we've been using for the course.
Statistics with JASP: First Steps for Psychology Students
by
Rebecca Denniss and Stanislava Naneva
https://sheffield.pressbooks.pub/help4jasp/
An open (free!) textbook guide to using the open source (free!) statistics software package
#JASP hat auf den ersten Blick mehr " #mathematik " zu haben dafür weniger Connectivity ChiChi
Ich find das ist ähnlich zu #7-zip.
Das GUI kann die tollsten Funktionen zum Komprimiernen aber keinen ChiChi zum Verwalten von Bild-, Audio- oder Videodaten
JASP 0.19.2 out a week ago:
"This version adds 2 new modules Bayes Factor Functions and BFPack. The classical Meta-Analysis module is also reworked to include Funnel Plot, Effect Size calculation, etc… Computed columns and labels are improved, and many other features and fixes are added."
#statstab #238 Bridging null hypothesis testing and estimation
Thoughts: An overview of the ways you can claim "no effect" under a bayesian framework.
#bayesian #bayesfactors #nullresults #noeffect #equivalencetests #equivalence #jasp #r
#statstab #232 Bayesian Interval-Null Testing
Thoughts: @JASPStats has a module for Equivalence Tests that include Bayesian Overlapping and Non-Overlapping Hypothesis Testing.
#equivalencetests #bayesfactors #jasp #noeffect #bayes
https://jasp-stats.org/2020/06/02/frequentist-and-bayesian-equivalence-testing-in-jasp/
Je découvre #Regressi (https://regressi.fr/WordPress)
C’est aussi puissant que moche !
La propagation automatique des incertitudes wow ! Par ex, vous avez une série d’angles θ à ±1°, vous créez une colonne sin(θ), les incertitude sur le sinus sont directement calculée !
Je n’ai trouvé ça dans aucune autre interface graphique (c’est possible avec uncertainties en python ou errors dans R)
J’ai testé #labplot2, #scidavis, #alphaplot #GNUPlot, #LibreOfficeCalc, #JASP, #Jamovi j’ai pas trouvé ça !
