Table 10 Responses, still unexpected after allowing for bias

This Table is not produced under usual circumstances. The measurement is over-parameterized at this point, so response residual computations can be misleading.

 

To examine response residuals after adjusting for bias, model the interaction term as the main effect and do not model the main effects, i.e.,

Usual model: log(Pnik/Pni(k-1)) = Bn - Di - Fk
and then compute interaction Bni

Instead model:log(Pnik/Pni(k-1)) = Bni - Fk

Help for Facets (64-bit) Rasch Measurement and Rasch Analysis Software: www.winsteps.com Author: John Michael Linacre.
 

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Rasch Books and Publications
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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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