RaschPy Python package for Rasch analysis

RaschPy  (Elliott, 2023) implements some of the functioality of Facets, but using different estimation methods, in particular,  the conditional pairwise estimation (CPAT) algorithm (Elliott & Buttery, 2022b). When similarly configured, RaschPy and Facets report similar results.

 

RaschPy is pre-configured with four MFRM models (Global, Item, Thresholds, Matrix), called "Extended Rater Representations" (Elliott & Buttery, 2022a), which can also be implemented in Facets.

 

Elliott, M. (2023). RaschPy.

Elliott, M., & Buttery, P. J. (2022a). Extended rater representations in the many-facet Rasch model. Journal of Applied Measurement, 22 (1), 133–160.

Elliott, M., & Buttery, P. J. (2022b). Non-iterative conditional pairwise estimation for the rating scale model. Educational and Psychological Measurement, 82 (5), 989–1019.