Application of Many Faceted Rasch Measurement with FACETS


  • Priyalatha Govindasamy Faculty of Education and Human Development, Sultan Idris Education University, Tanjong Malim, Perak, MALAYSIA
  • Antonio Olmos Aurora Mental Health Center, Aurora, Colorado, UNITED STATES
  • Kathy Green Research Methods and Statistics, Morgridge College of Education, University of Denver, Denver Colorado, UNITED STATES
  • Maria del Carmen Salazar Morgridge College of Education, University of Denver, Denver Colorado, UNITED STATES



FACET, Many facet Rasch Measurement, Rasch, measurement, Rasch application


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.


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How to Cite

Govindasamy, P., Olmos, A., Green, K., & Salazar, M. del C. (2018). Application of Many Faceted Rasch Measurement with FACETS. Asian Journal of Assessment in Teaching and Learning, 8, 23–35.