A Rasch Critic Answers Himself

Complaint: "Rasch's one-parameter logistic model promised item calibration independent of the sample, and scoring of individuals independent of the set of items on which they have been tested. The implication of strong comparability among scores turned out to be a mirage, not least because the model proved rather fussy about which sorts of data it would fit. As Rasch himself reported in this journal (Rasch, 1966), the model did not work for a verbal analogies test or for an analogue of Raven's matrices, two of the stalwarts of psychometric practice." (p. 182-3)

Desire: "The challenge is to recover the element of surprise - astonishment even - which greeted the developments of the first decades of this century (1900-1909) when effective psychological measurement was first demonstrated. For too long test theory has concerned itself with ever cleverer accounts of unimproved practical effectiveness and not with recommendations as to how to devise more effective tests." (p. 183)

Blinkhorn S.F. (1997) Past imperfect, future conditional: fifty years of test theory. British Jnl of Mathematical and Statistical Psychology, 50, 175-185.

Comment: The Rasch model specifies ideals toward which constructors of more effective tests must strive. As the model operationalizes these ideals, it is "fussy" about data, and so necessarily criticizes the unimproved "stalwarts of psychometric practice". Nevertheless, Rasch practitioners are continually delighted to discover that apparently incoherent data can be coerced into constructing coherent, useful measures on clearly articulated linear variables.

Blinkhorn, S.F. A Rasch Critic Answers Himself. … Rasch Measurement Transactions, 2000, 14:3 p.770




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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