Application of Many Faceted Rasch Measurement with FACETS

Authors

  • 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

DOI:

https://doi.org/10.37134/ajatel.vol8.3.2018

Keywords:

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

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.

Downloads

Download data is not yet available.

References

Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences (2nd ed.). United States of America: Lawrence Erlbaum Associates, Inc.

Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. New York: Holt, Rinehart and Winston.

Downing, S. M. (2005). Threats to the validity of clinical teaching assessments: What about rater error? Medical Education, 39, 350-355.

Eckes, T. (2015). Introduction to Many - Facet Rasch measurement: Analyzing and evaluation rater – mediated assessments. Frankfurt: Peter Lang Edition

Farrokhi, F., Esfandiari, R., & Dalili, M. V. (2011). Applying the Many Facet Rasch Model to detect centrality in self - assessment, peer assessment and teacher assessment. World Applied Sciences Journal, 15, 70-77.

Harding-DeKam, J.L., Reinsvold, L., Olmos, A., Song, Y., Franklin, B., Higgins, T., & Enriquez, M. (2014). Mathematics and science teaching for English learners (MAST-EL) partnership: A relationship among elementary school teachers, pre-service teachers, principals, coaches, and college faculty. Teacher Education & Practice (Special theme issue STEM Teacher Preparation and Practice: Prepare and Inspire Students), 27, 2-3, 267-281.

Linacre, J. M. (1989). Many faceted Rasch measurement. Chicago: MESA Press.

Linacre, J. M. (2013). A user's guide to Facets: Rasch measurement computer program [Computer program manual]. Chicago: MESA Press.

Linacre, J. M. (2015). FACETS [Computer program, version 3.71.4]. Chicago: MESA Press.

Nunally & Bernstein. (1994). Psychometric theory. New York: McGraw Hill

Popham, W. J. (1990). Modem educational measurement: a practitioner’s perspective (2nd ed.). Englewood Cliffs NJ: Prentice-Hall.

Rasch, G. (1960/1980). Probabilistic models for some intelligence and attainment tests. (Copenhagen, Danish Institute for Educational Research), expanded edition (1980) with foreword and afterword by B.D. Wright. Chicago: The University of Chicago Press.

Salazar, M.D., Green, K., Govindasamy, P., Lerner, J. (2016, 04, 12). The Power of the Margins: The Design and Implementation of an Evaluation Model for Equitable and Effective Teaching. Paper presented at American Education, Research Association, Washington D.C.

Stevens, S. S. (1951). Mathematics, measurement and psychophysics. In Stevens, S. S, Handbook of Experimental Psychology (pp.22). New York: John Wiley and Sons Inc.

Downloads

Published

2018-12-16

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. https://doi.org/10.37134/ajatel.vol8.3.2018