To help researchers in this respect, @uschroeders.bsky.social and I wrote a tutorial on sample size planning for IRT analyses (open access). It includes practical recommendations and R code examples in the supplemental material.
🌍 Call for papers: Educational Datasets for Psychological Research 🗓️ Deadline: June 30, 2026 🔗 More information: openpsychologydata.metajnl.com The editorial team including Debora Maehler, @uschroeders.bsky.social , Kati Mozygemba, and myself look forward to your submission!
Journal of Open Psychology Data
openpsychologydata.metajnl.com
New preprint with @uschroeders.bsky.social. In a simulation study, we explored the predictive performance of ML models across various data conditions typical for psych research. Spoiler: Data quality limits the performance of ML models in a similar way to more "traditional" regression analyses.
Beyond the Hype: A Simulation Study Evaluating the Predictive Performance of Machine Learning Models in Psychology: http://osf.io/4vjtx/
Development and Initial Evaluation of the German Version of the Hierarchical Taxonomy of Psychopathology Self-Report (HiTOP-SR): http://osf.io/dc8u6/
If you want to do ambulatory assessment (e.g., EMA) in applied settings, say with patients, how many observations do you need to get a reliable estimate of a person's mean, variability, or correlation? We (@jzpsych.bsky.social & Florian Scharf) ran some simulations to get the answer...a🧵
Minimum Sampling Recommendations for Applied Ambulatory Assessments: http://osf.io/3tme5/
Hier ein Pre-Print zu den ersten Outcome-Ergebnissen der DPG-Praxisstudie. Es ist ein erster Entwurf. Wir freuen uns über konstruktives Feedback. osf.io/preprints/ps...
OSF
osf.io