PhD & lic. psychologist. Research specialist at Karolinska Institutet @ki.se . R packages for Rasch psychometrics: pgmj.github.io/easyRasch2 (also for jamovi) and easyRaschBayes.
#openscience, #psychometrics, #rstats, #photo
Been reworking my `easyRasch` package for CRAN, and it is finally available. This is also the code base for my jamovi module easyRasch2jmv. pgmj.github.io/easyRasch2/#psychometrics#rstats#openscience
Normalise emailing people to say you read and enjoyed their work.
Academia can be a bleak conveyorbelt of endless negative feedback. Sometimes it's hard to know whether anyone values your work. That's why it means so much when someone takes the time to message and say so! Be that person.
Attending #EMNLP2026 or following along from home? Tired of Whova and Underline? Use infrastructure made by researchers instead!
Lea recommends talks/posters for you; organizes your own presentations; shows you who is attending; includes a live feed of posts; and more!
lea.ac/conferences/...
A researcher mapped 335,000+ surveillance cameras across America.
Flock's response? Try to take it down.
Our response? Build a tool so you can find those near your home: https://proton.me/flock-camera-map
Same five studies. Same treatment effect.
One meta-analysis (raw): I² = 0%.
Another meta-analysis (SMD): I² = 94%.
How can both be right? 🤔
Find out in my latest blog post👇
mzloteanu.substack.com/p/standard-n...#Statistics#MetaAnalysis
Hi all! I'm looking for people to try out my new collaborative writing platform. Think: Overleaf or GDocs for Mkdown LaTeX HTML Typst Quarto
Free, open source, and full-featured.
Many editors, chat, comments, track changes, history, AI, mobile, templates, etc
Would ❤️ any feedback!
librepaper.org
If you fit models with glmmTMB(), gratia 📦 has gained support for these model objects, including glmmTMB's nascent capability for fitting penalized spline terms using mgcv's s()
You'll need the GitHub versions of both gratia & glmmTMB to try this out #RStats#statisticsgithub.com/glmmTMB/glmm...
New working paper: the Norwegian wealth tax was a huge success. The "exodus" of wealthy people never happened (less than 100 individuals left). Tax revenue increased by 71.5%. No changes in business activity or investment.
www.nber.org/papers/w35854
New vignette on the #rstats WeightIt website describing the various weighting methods available and how to choose among them: ngreifer.github.io/WeightIt/art...
“Whether idionomically guided treatment does better is itself a causal question about groups, answerable by randomizing patients to idionomically guided or standard treatment.”
Well put.
(Keep reading “idiotically” though)
Our commentary "A Revolution in Search of an Estimand: On the Idionomic Proposal of Hayes et al. (2026)" is now available as a preprint: osf.io/preprints/ps...
With @rpsychologist.com, @matti.vuorre.com, and Nils Hentati Isacsson.
Hayes has been banging this drum about idionomic analyses for 6+ years, with folk like @jamiecummins.bsky.social pointing out that its reinventing-the-wheel-but-worse for just as long.
My experience is that the ACT community is insufficiently interested and aware of existing methods+stats work.
Our commentary "A Revolution in Search of an Estimand: On the Idionomic Proposal of Hayes et al. (2026)" is now available as a preprint: osf.io/preprints/ps...
With @rpsychologist.com, @matti.vuorre.com, and Nils Hentati Isacsson.
Our commentary "A Revolution in Search of an Estimand: On the Idionomic Proposal of Hayes et al. (2026)" is now available as a preprint: osf.io/preprints/ps...
With @rpsychologist.com, @matti.vuorre.com, and Nils Hentati Isacsson.
Interesting timing. I just noticed this paper:
Hayes, S. C., Ciarrochi, J., Sahdra, B. K., Hofmann, S. G., Ong, C. W., & Hernández, C. (2026). One size fits none: A call for an idionomic revolution. Clinical Psychology Review, 129, 102800. doi.org/10.1016/j.cp...
We just published a meta-analysis, where one finding is that "number of sickdays" is a bounded, not seldom zero/one-inflated variable, which is unsuitable for meta-analysis based on mean/SD. Today, I came across a meta-analysis including sickday stats like mean=9 and SD=27.
doi.org/10.1186/s403...
They report these summary stats in the Supplementary, and there is no discussion of this in the paper at all. And this is in a fairly prominent journal in the field.
Version 3.2.2 of my jamovi module for #Rasch#psychometrics is now available. It brings conditional reliability, a Reliable Change Index with exact critical values, and a new targeting figure.
The module uses #rstats pkg easyRasch2 v1.3.1 and produces identical results. pgmj.github.io/easyRasch2/
It only recently became apparent to me that some psychologists publish "method development" in applied journals, which means reviewers are not properly equipped. Looking at the where this group has published on this topic before makes the pattern clear in this case at least. Why did CPR invite this?
Interesting timing. I just noticed this paper:
Hayes, S. C., Ciarrochi, J., Sahdra, B. K., Hofmann, S. G., Ong, C. W., & Hernández, C. (2026). One size fits none: A call for an idionomic revolution. Clinical Psychology Review, 129, 102800. doi.org/10.1016/j.cp...
I see this comment a lot:
I shouldn't use Bayesian models without a good reason.
Frequentist packages (maximum likelihood, etc) are a special case of Bayesian analysis. Bayes can do *any* MLE model plus a lot more.
So the question is, what is your justification for restricting yourself to MLE?
Interesting timing. I just noticed this paper:
Hayes, S. C., Ciarrochi, J., Sahdra, B. K., Hofmann, S. G., Ong, C. W., & Hernández, C. (2026). One size fits none: A call for an idionomic revolution. Clinical Psychology Review, 129, 102800. doi.org/10.1016/j.cp...
At a basic level, I think this depends on what you care about. If you want quick pubs for a grade or a promotion, just do t-tests. If you are interested in your data, learn how to fit and interpret ordinal models.
#statstab #574 When the Mean is Misleading: a Guide to Ordered Regression for Meaningfully Modeling Ordinal Outcomes
Thoughts: The "it's fine to analyse likert/ordinal data with t-test" camp is not doing themselves any favours
#ordinal#likert#probit#regressionlink.springer.com/article/10.1...
Curiously, I again encountered a CFA paper that refers to Marsh et al 2004 to justify rule-of-thumb cutoffs to interpret model fit. Marsh's title is "Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings"
If that was unclear, the purpose of Marsh's paper is advocating against rule-of-thumb cutoffs:
"we strongly encourage researchers, textbook authors, reviewers, and journal editors not to overgeneralize the Hu and Bentler (1998, 1999) results, ...
... transforming heuristic findings based on a very limited sample of misspecified models into golden rules of fit that are broadly applied without the cautions recommended by Hu and Bentler (1999)."
Big news! 🎉
𝚖𝚊𝚛𝚐𝚒𝚗𝚊𝚕𝚎𝚏𝚏𝚎𝚌𝚝𝚜 1.0.0 for #Rstats is out. It’s a big number and it feels like a big step.
I wrote a blog on the challenges of interpreting statistical models, SPEED, cool new features, the future, and a 5 year package development and writing odyssey.
arelbundock.com/posts/margin...
I’ve been told for years that it’s legally and ethically impossible to share medical RCT data.
In 2024, the BMJ made sharing anonymised data mandatory, and now lots* of folk do it.
Interesting how the barriers evaporated like that, isn’t it?
*not everyone, compliance problems exist.
I'm so happy to announce version 2.0.0 of my #Rstats package WeightIt is out on CRAN!
New features: censoring weights, multilevel propensity scores, improved weights for continuous treatments, bias-reduced ordinal and multinomial models, M-estimation in subgroups
Check out the website below!
An astounding 412 (!) #RStats packages made their way to CRAN last month, and @revojoe.bsky.social picked out forty that he thinks you should know about. Check them out on R Works:
rworks.dev/posts/june-2...
priorsense R package has now JOSS paper "priorsense: Efficient prior and likelihood sensitivity checks for Bayesian models in R" you can cite, too doi.org/10.21105/jos...
with Noa Kallioinen, Topi Paananen, and @paulbuerkner.com
priorsense achieved also a gold badge from @ropensci.org review!
Today we launch the first stable release of RegCheck: v1.0.0.
RegCheck makes it easier and quicker to compare study registrations to published papers for consistency - something we know is important in principle, but rarely done in practice.
A 🧵 on what's new:
regcheck.app
‘Polarization’ has become the master concept for diagnosing our current democratic crisis.
But this is not polarization. It is the radicalization of the political right.
By misdiagnosing it, we risk becoming complicit in the crisis. 🧵
Just out in Perspectives on Politics
doi.org/10.1017/S153...
WE ARE HIRING!
Come work with us (me + @malte.the100.ci) on developing and validating RegCheck. PhD or postdoc applications welcome. Folk with backgrounds in meta-science, psychology, (pre)clinical trials, and/or economics are especially invited to apply.
jobs.unibe.ch/job-vacancie...
We are excited to relaunch our Drawdown Learn program, offering free online courses designed for climate professionals and lay audiences.
Currently, we have 3 courses in production:
- Living on Planet Earth
- Getting Started with Climate Solutions
- Exploring Food & Climate Solutions