Application of Many Faceted Rasch Measurement with FACETS

Abstract

Many facet Rasch measurement (MFRM) is a type of measurement application that aims to perform analysis of multiple variables that potentially influence results of a test or outcome measure. A facet is a component with a systematic contribution to the variability of the measurement error. Linacre (1989) created the technique as an extension of the Rasch model to model the consistency of judges/raters in rating performances. The purpose is to provide a step- by step guide for practitioners on how to conduct an MFRM analysis in FACETS software using real data.