I've made a Jamovi module for modern psychometric analysis using Rasch Measurement Theory, "easyRasch2jmv", that is available in Jamovi's library. The module implements simulation-based (dynamic) cutoff values for conditional item fit and residual correlations, amongst other things. #psychometrics
The "easyRasch2jmv" module currently contains only 5 of the functions from my package. I prioritized these functions to enable analysis of the 4 basic psychometric criteria:
- unidimensionality
- local independence of items
- ordered response category thresholds (monotonicity)
- invariance (no DIF)
Afaik, simulation-based cutoffs for Rasch model fit metrics is not available in any other software, except my github-only R-package easyRasch. Some more details on the topic: https://pgmj.github.io/rasch_itemfit/ and https://pgmj.github.io/simcutoffs.html
If you are new to Rasch psychometrics, you will find a fair amount of resources and analysis examples here:
https://pgmj.github.io/raschrvignette/RaschRvign.html
This module is built using R packages such as eRm, mirt, and iarm.


