Many Facet Rasch Model
Stefanie A. Wind, Hua Cheng · 2022
This chapter provides a basic overview of the Many-Facet Rasch Model (MFRM), along with guidance for analyzing data with the MFRM using R. It demonstrates how to apply the MFRM to multi-faceted data that are stored in wide format. The chapter demonstrates how to apply the MFRM to multi-faceted data that are stored in long format. It examines the student location estimates from the RS-MFRM. The large central panel shows the rating scale category threshold estimates specific to each rater on the logit scale that represents the latent variable. The chapter evaluates the MFRM requirement for unidimensionality using a principal components analysis of standardized residual correlations. It examines model-data fit related to the subgroup and rater facets.