Rudolf Debelak

Psychologist/Mathematician working in Psychometrics and Machine Learning

[Rudolf Debelak @RudolfDebelak]

A new preprint on the modeling of test responses and response times using deep learning! The method itself is available via the excellent DeepIRTools package of Chris Urban and Shara He.

https://t.co/ddou9mxw1B

[Rudolf Debelak @RudolfDebelak]

Last week, Felix Zimmer published the R package mlpwr on CRAN, which allows sample size planning for complex (and simple!) study designs using machine learning:

https://t.co/5miUodzoZW

You can find a preprint with a tutorial here:
https://t.co/A5ZZ7rq8vs

[Rudolf Debelak @RudolfDebelak]

I am excited that there are several talks about model-based recursive partitioning next week at the DGPs conference (https://t.co/9pmNq4Mv76), including research on factor analytical and structural equation models.

[Achim Zeileis @[email protected] @AchimZeileis]

Come & work with us: 2 PhD positions in a 3y @FWF_at project.

"Atmospheric deserts" and European heat waves.

#wx #DataScience #rstats #python

[Rudolf Debelak @RudolfDebelak]

Empirical studies in an Item Response Theory framework require careful sample size planning. In a new Psychometrika paper, Felix Zimmer, Clemens Draxler and I propose and evaluate some suitable methods and provide an implementation in R:

https://t.co/mn976f02nu

[Rudolf Debelak @RudolfDebelak]

Carolin Strobl, Matthew Zeigenfuse and I recently published our textbook on the Rasch model and item response theory in R. I hope it will be useful for everyone who works in psychometrics:

https://t.co/CUgr4HET9E