Danish Psychiatry and Rasch

Per Bech and Peter Allerup author seven of the 31 Rasch-referenced articles in a Danish bibliographic database. Their articles reference eight more publications along the same lines. The papers discuss Rasch calibrations of instruments widely used in controlled clinical studies including the Hamilton Depression Scale and the Marke-Nyman Temperament Scale.

An interesting aspect of Bech and Allerup's measurement of psychiatric phenomena is their emphasis on the framework of observation. In order to count on the persistence of the structure of observation, it is essential to recognize that "... pains do not arrive already hall- marked 'rheumatic'". Etiology (why things happen) embodies an ideology (a way of thinking about things). Science, though shaped by economic, social, and cultural forces, is truest when the instruments measuring and the measures made retain a consistent unit within an observational frame of reference that is replicable across samples, technicians and laboratories. When a frame of reference useful for understanding one cultural milieu does not hold up for another, the effort to measure should not be abandoned. Neither should data from one group be forced into a mode of representation inconsistent with it. Rather, the analysis of group-level misfit can guide us to arrange constructs homogeneously.

Bech and Allerup (1986) focus on constructs of depression - on distinguishing between items indicative of severity from those better for diagnosis. Useful dimensions and categories become apparent through this distinction. Three categories (none, minor, and major depression) work to delineate severity. The two diagnostic dimensions, endogenous and reactive depression, are not mutually exclusive and are therefore structured by a common set of categories comprised of definite and probable ratings of each diagnosis, as well as a definite combination of the two.

Bech, Allerup, and Rosenberg (1978) examine the Marke-Nyman Temperament Scale (MNTS) for transferability, an R. B. Cattell notion that these authors construe as sample-free measurement. Two popular organizations of the 60 MNTS items into three sub-scales were shown to result in non-transferable scores. One of the two sets of sub-scales failed to meet the requirements of measurement only because two items on each of the three sub-scales misfit. Examination of these items revealed psychologically relevant reasons for the misfit. The items were removed from the analyses. The reduced sub-scales subsequently demonstrated adequate transferability, and improved capacity to distinguish between personality types.

For those who read Danish, Rosenberg, Allerup, and Bech (1979) will be of interest as an introduction to the use of rating scales in clinical trials. Various measurement problems are outlined, and the manner in which Rasch models deal with them is discussed by example. The authors take a strong position on the meaningfulness and utility of the models, saying (in the English summary), "It is emphasized here that an unequivocal connection is present between the basic principles for measurement and the models mentioned."

Danish Psychiatry and Rasch, W Fisher Jr. … Rasch Measurement Transactions, 1991, 5:1 p. 138

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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