El uso de Many-Facet Rasch Measurement para examinar la calidad del proceso de corrección de pruebas de desempeño

• Autores: Arturo Mendoza Ramos
• Localización: Revista mexicana de investigación educativa, ISSN-e 1405-6666, Vol. 23, Nº. 77, 2018, págs. 597-625
• Idioma: español
• Títulos paralelos:
  • The Use of Many-Facet Rasch Measurement to Examine the Quality of Evaluating Performance Assessments
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 1 Cita
• Resumen
  • español

    Resumen: Las pruebas de desempeño son criticadas por la supuesta falta de consistencia en los resultados que otorgan los evaluadores. Sin embargo, herramientas estadísticas como Many-Facet Rasch Measurement (MFRM) son útiles para examinar la calidad del proceso de evaluación en pruebas con múltiples facetas de variabilidad. El objetivo de este artículo es dar a conocer el funcionamiento y aportaciones de MFRM en pruebas de desempeño. El estudio se realizó con estudiantes universitarios no hispanohablantes que sustentaron una prueba escrita de Español con fines académicos. Los resultados mostraron niveles de severidad e indulgencia adecuados por parte de los evaluadores, y de dificultad en las tareas y en la rúbrica analítica empleada para evaluar los textos. Del estudio se concluye la utilidad de MFRM para examinar el proceso de corrección de pruebas de desempeño.

  • English

    Abstract: Performance assessments are criticized for the assumed lack of consistency in the results delivered by evaluators. However, statistical tools such as the Many-Facet Rasch Measurement (MFRM) are useful for examining the quality of the assessment process in tests with multiple facets of variability. The objective of this article is to present the functioning and contributions of MFRM on performance assessments. The study was carried out with non-Spanish-speaking university students who completed a written test of Spanish with academic ends. The results showed adequate levels of severity and indulgence among the evaluators, as well as in task difficulty and the analytical rubric employed to evaluate the texts. The conclusion is that MFRM is useful for examining the process of evaluating performance assessments.

• Referencias bibliográficas
  • Attali, Yigal,Lewis, Will,Steier, Michae. (2012). Scoring with the computer: Alternative procedures for improving the reliability of holistic...
  • Barkaoui, Khale. (2014). Multifaceted Rasch Analysis for Test Evaluation. The Companion to Language assessment. 3. 1301
  • Bond, Trevor,Fox, Christine M. (2007). Applying the Rasch model: Fundamental measurement in the human sciences. 2. Erlbaum. Mahwah, NJ.
  • East, Marti. (2009). Evaluating the reliability of a detailed analytic scoring rubric for foreign language writing. Assessing Writing. 14....
  • Eckes, Thoma. (2005). Examining rater effects in TestDaF writing and speaking performance assessments: A many-facet Rasch analysis. Language...
  • Eckes, Thoma. (2009). Many-Facet Rasch Measurement. Reference supplement to the manual for relating language examinations to the Common European...
  • Eckes, Thoma. (2012). Operational rater types in writing assessment: Linking rater cognition to rater behavior. Language Assessment Quarterly....
  • Engelhard, Georg. (2008). Standard errors for performance standards based on bookmark judgments. Rasch Measurement Transactions. 21. 1132
  • Esfandiari, Rajab,Myford, Carol M. (2013). Severity differences among self-assessors, peer-assessors, and teacher assessors rating EFL essays....
  • Hamp-Lyons, Li. (2007). Worrying about rating. Assessing Writing. 12. 1-9
  • Huang, Jinyan,Foote, Chandra J. (2010). Grading between the lines: What really impacts professors’ holistic evaluation of ESL graduate student...
  • Knoch, Ut. (2007). Do empirically developed rating scales function differently to conventional rating scales for academic writing?. Spaan...
  • Knoch, Ut. (2009). Diagnostic assessment of writing: A comparison of two rating scales. Language Testing. 26. 275-304
  • Linacre, John M. (2011). A user’s guide to facets: Rasch-Model Computer Programs. Winsteps.com. Chicago.
  • Linacre, John M. (2012). Facets Tutorial 1. 1-32.
  • Linacre, John M. (2012). Facets Tutorial 2. 1-40.
  • Linacre, John M. (2012). Facets Tutorial 3. 1-29
  • Linacre, John M. (2012). Facets Tutorial 3. 1-18.
  • Linacre, John M. (2013). A user’s guide to facets. Rasch-Model Computer Programs. Program Manual 3.71.0.
  • Linacre, John. M. (2015). Facets computer program for Many-facet Rasch Measurement, versión 3.71.4. Winsteps.com. Beaverton.
  • McNamara, Tim F. (1996). Measuring second language performance. Longman. Londres, Reino Unido.
  • Mendoza, Artur. (2015). La selección de las tareas de escritura en los exámenes de lengua extranjera destinados al ámbito académico. Revista...
  • Mendoza, Arturo,Knoch, Ut. (2018). Examining the validity of the analytic rating scale for a Spanish test for academic purposes using the...
  • Myford, Carol M.,Wolfe, Edward W. (2003). Detecting and measuring rater effects using Many-Facet Rasch Measurement: Part I. Journal of Applied...
  • Myford, Carol M.,Wolfe, Edward W. (2004). Detecting and measuring rater effects using Many-Facet Rasch Measurement: Part II. Journal of Applied...
  • Prieto, Gerard. (2011). Evaluación de la ejecución mediante el modelo Many-Facet Rasch Measurement. Psicothema. 23. 233
  • Prieto, Gerardo,Nieto, Eloís. (2014). Analysis of rater severity on written expression exam using Many-Faceted Rasch Measurement. Psicológica....
  • Rasch, Georg. (1960). Probabilistic models for some intelligence and attainment tests. Mesa Press. Chicago.
  • Rezaei, Ali R.,Lovorn, Michae. (2010). Reliability and validity of rubrics for assessment through writing. Assessing Writing. 15. 18-39
  • Wind, Stefanie A.,Engelhard, Georg. (2013). How invariant and accurate are domain ratings in writing assessment?. Assessing Writing. 18. 278
  • Wright, Benjamin D.,Linacre, John M. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions. 8. 370