Chi-squares, d.f., probabilities and Mean-squares

Winsteps reports mean-square fit statistics. These are chi-square fit statistics divided by their degrees of freedom.

 

Mean-squares: the expected value of a mean-square is 1.0. When the mean-square = 1.0, then the unexplained variance in the data is the same size as the unexplained variance (randmness) predicted by the Rasch model. Mean-squares < 1.0 indicate over-fit of the data to the model = the Rasch model is explaining the data too well. Mean-squares > 1.0 indicate under-fit of the data to the model = there is too much unexplained variance in the data.

 

Unexpectedness: Winsteps test the hypothesis that the mean-square = 1.0 except for the predicted statistical variability. The outcome of the hypothesis test is reported as a unit-normal deviate, ZSTD. Values outside ±1.96 indicate p<.05 for the double-sided test, and the null hypothesis of "model fit" is rejected. Always investigate underfit (Mean-square > 1.0, ZSTD >0) before overfit. Underfit is a much greater threat to measurement than overfit.

 

Chi-squares, d.f., probabilities: instead of mean-squares and ZSTD, you may want to report these.

Chi-square = Mean-square * d.f.

d.f. are not usually integers, because of the ordinal, non-linear nature of the data.

 

To report probabilities, LOCAL=Prob. For instance, in Table 14:

 

 

To report probabilities, LOCAL=Prob, and d.f., IFILE= or PFILE=, and the Field Selection Dialog Box

 

 

To report Chi-squares in IFILE= or PFILE=, instead of Mean-squares: LOCAL=Prob, Chisquare = Yes

 

 


 

Winsteps Chi-squared values and Excel CHISQ.DIST.RT(VALUE, DF) and CHISQ.INV.RT(PROB., DF)

 

I checked two values in the Winsteps output, one has low d.f. and the other high d.f., and they agreed with CHISQ.INV.RT(PROB., DF) to within the rounding error.

 

Winsteps approximates the chi-squared function using an algorithm from Abramovitz and Stegun "Handbook of Mathematical Functions" p.299. The book was published in 1964, but is still considered authoritative. Winsteps accepts real values for the d.f., but Excel truncates real d.f. values to integers (and probably computes the gamma function). Consequently Winsteps and Excel output may differ slightly.


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Rasch Books and Publications
Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, 2nd Edn, 2024 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
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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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