Georg Rasch in Memoriam:
A Discovery Journey into a Data Set

Erling B. Andersen, Copenhagen, Denmark

Abstract of a paper at "Large Scale Data Analysis" International Conference, Cologne, Germany, 1999.

As my data set I have chosen 9 items concerning job satisfaction from a 1989 study. The aim is to fit a rating scale model, or equivalently a polytomous Rasch model with equidistant scoring of the response categories, to these data. This would allow us to scale the individuals on a latent scale representing job satisfaction.

The mentioning of Georg Rasch in the title refers partly to the fact that I shall try to analyze the data - although not by the methods he used - then by methods, which are modern versions of his way to explain data structures. But it is also a reflection of my nostalgia over the fact that my dissertation in 1973 used as its data illustrations a Danish study of job satisfaction, which I had partly worked on together with Georg Rasch. ...

From a methodological point of view, the most important contribution is to show, how analyses of goodness of fit, and other analyses of the data, can be carried out by graphs, for example, showing the variation of standardized residuals, where traditionally one would rely on statistical tests, or studying multiplicative structures by convenient graphs. Thus there will be few tables and also no test quantities, but an abundance of graphs. This is also to pay tribute to the methods used by Georg Rasch, who always held the view, that statistical tests were "destructive" and graphical methods "constructive".

As a last connection to the work of Georg Rasch, I shall show how he arrived at Leo Goodman's RC-association model around 1965, from the polytomous Rasch model. I shall use this formulation of the RC-association model to throw further light on the data structure under consideration. In particular on the appropriateness of an equidistant scoring of the response categories.

Georg Rasch in Memoriam: a discovery journey into a data set. Andersen E. … Rasch Measurement Transactions, 2001, 15:1 p.803




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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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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 Appliquer le modèle de Rasch: Défis et pistes de solution (Winsteps) E. Dionne, S. Béland
Introduction to Many-Facet Rasch Measurement (Facets), Thomas Eckes Rasch Models for Solving Measurement Problems (Facets), George Engelhard, Jr. & Jue Wang 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
Exploring Rating Scale Functioning for Survey Research (R, Facets), Stefanie Wind Rasch Measurement: Applications, Khine Winsteps Tutorials - free
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Many-Facet Rasch Measurement (Facets) - free, J.M. Linacre Fairness, Justice and Language Assessment (Winsteps, Facets), McNamara, Knoch, Fan

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