Survey Analysis and Rasch

The Michigan Department of Education and Employability Skills Task Force distribute a survey designed to identify the critical skills, behaviors and attitudes employers want in employees. Respondents rate 86 items as critical, highly needed, somewhat needed or not needed. In 1989, Michigan public school principals asked elementary and secondary teachers to fill out this survey.

Conventional survey analysis depends on insupportable assumptions about the numerical values of response categories. An interval scale must be specified on which critical might be valued at, say, 4, highly needed at 3, somewhat needed at 2, and not needed at 1. But there is no objective basis for assigning or means of confirming any particular choice of values. Rasch analysis requires only that response categories are coded in a qualitatively increasing order. The working "values" of the responses are estimated from the data. This reflects the views of the survey respondents more accurately than the conventional method.

The Rasch step calibrations for the teachers were:

       STEP TO               SECONDARY  ELEMENTARY
  not needed                    N/A        N/A
  somewhat needed               -.92      -1.03
  highly needed                 -.72       -.47
  critical                      1.64       1.50

This shows that these teachers regarded the steps from not needed to somewhat needed and from somewhat needed to highly needed as closer in value than the final step to critical. The region along the continuum in which the response somewhat needed stood out was so brief that little information was conveyed by the use of that category. In general, skills were either not needed, highly needed, or critical.

Conventionally, misfitting items are those with high raw response standard deviations. Rasch misfitting items are those for which no clear "latent scale" has been manifested. These contrasting types of misfit affected much the same items for secondary school teachers, but totally different items for elementary teachers demonstrating that Rasch misfit is not necessarily identical to conventional misfit. The Rasch analysis provided the more useful interpretation.

Survey Analysis and Rasch, William L. Brown … Rasch Measurement Transactions, 1990, 4:2 p.106

Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn. George Engelhard, Jr. & Jue Wang	Applying the Rasch Model (Winsteps, Facets) 4th Ed., Bond, Yan, Heene	Advances in Rasch Analyses in the Human Sciences (Winsteps, Facets) 1st Ed., Boone, Staver	Advances in Applications of Rasch Measurement in Science Education, X. Liu & W. J. Boone	Rasch Analysis in the Human Sciences (Winsteps) Boone, Staver, Yale
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes	Statistical Analyses for Language Testers (Facets), Rita Green	Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments (Facets), George Engelhard, Jr. & Stefanie Wind	Aplicação do Modelo de Rasch (Português), de Bond, Trevor G., Fox, Christine M	Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind	Rasch Measurement: Applications, Khine	Winsteps Tutorials - free Facets Tutorials - free	Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre	Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan
Other Rasch-Related Resources: Rasch Measurement YouTube Channel
Rasch Measurement Transactions & Rasch Measurement research papers - free	An Introduction to the Rasch Model with Examples in R (eRm, etc.), Debelak, Strobl, Zeigenfuse	Rasch Measurement Theory Analysis in R, Wind, Hua	Applying the Rasch Model in Social Sciences Using R, Lamprianou	El modelo métrico de Rasch: Fundamentación, implementación e interpretación de la medida en ciencias sociales (Spanish Edition), Manuel González-Montesinos M.
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar	Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch	Rasch Models for Measurement, David Andrich	Constructing Measures, Mark Wilson	Best Test Design - free, Wright & Stone Rating Scale Analysis - free, Wright & Masters
Virtual Standard Setting: Setting Cut Scores, Charalambos Kollias	Diseño de Mejores Pruebas - free, Spanish Best Test Design	A Course in Rasch Measurement Theory, Andrich, Marais	Rasch Models in Health, Christensen, Kreiner, Mesba	Multivariate and Mixture Distribution Rasch Models, von Davier, Carstensen

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