Statistical Significance vs. Substantive Boundaries

"The major scientific disadvantage of [significance testing and confidence intervals] is that their significance is merely an inference derived from principles of mathematical probability, not an evaluation of substantive importance for the big or small magnitude of the observed distinction. ... They offer no guidance for the basic quantitative scientific appraisals that depend on purely descriptive rather than inferential boundaries. ... The latter evaluation has not received adequate attention during the emphasis on probabilistic decisions; and careful principles have not been developed either for the substantive reasoning, or for setting appropriate boundaries, for big or small. After a century of significance inferred exclusively from probabilities, a basic scientific challenge is to develop methods for deciding what is substantively impressive or trivial."

Feinstein, A. R. (1998). P-values and confidence intervals: Two sides of the same unsatisfactory coin. Journal of Clinical Epidemiology, 51(4), 355-60.

Courtesy of William P. Fisher

Psychological Measurement Impossible!

"Measurement can belong, therefore, only to that which is objective and spacial, and the psycho-physical quanta must stand for the physiological elements of our reactions, expressed in personal equations."

George Herbert Mead. "The Problem of Psychological Measurement", Proc. of the American Psychological Association, New York: MacMillan & Co. (1894): 22-23.

Science ...

Science consists of two general areas: there is the act of measurement, which is the empirical side of science, and there is the development of mechanisms, which is its theoretical side.

Dr. Dean Radin on "Closer to Truth", PBS, 2000

RMT 20:3 Miscellaneous Material, … Rasch Measurement Transactions, 2006, 20:3

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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