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Application of many faceted rasch measurement with FACETS

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General Information Cached
Title
Application of many faceted rasch measurement with FACETS
Type
Article
Main Author
Priyalatha Govindasamy
Additional Authors
  • Olmos, Antonio
  • Green, Kathy
  • Salazar, Maria del Carmen
Subject
Q Science (General)
ISSN
2232-1926
Language Code
eng
Bibliographic Details
Place of Production
Universiti Pendidikan Sultan Idris
Year of publication
2018

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.

References

1. Bond, T. G., & Fox, C. M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences (2nded.). United States of America: Lawrence Erlbaum Associates, Inc. 2. Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. New York: Holt, Rinehart and Winston. 3. Downing, S. M. (2005). Threats to the validity of clinical teaching assessments: What about rater error? Medical Education, 39,350-355. 4. Eckes, T. (2015). Introduction to Many-Facet Rasch measurement: Analyzing and evaluation rater-mediated assessments. Frankfurt: Peter Lang Edition 5. 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. 6. 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. 7. Linacre, J. M. (1989). Many faceted Rasch measurement. Chicago: MESA Press. 8. Linacre, J. M. (2013). A user's guide to Facets: Rasch measurement computer program [Computer program manual]. Chicago: MESA Press. 9. Linacre, J. M. (2015). FACETS [Computer program, version 3.71.4]. Chicago: MESA Press. 10. Nunally & Bernstein. (1994). Psychometric theory. New York: McGraw Hill 11. Popham, W. J. (1990). Modem educational measurement: a practitioner’s perspective (2nd ed.). Englewood Cliffs NJ: Prentice-Hall. 12. 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. 13. 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. 14. 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.


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