Table 10 Responses, still unexpected after allowing for bias

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This Table is not produced under usual circumstances. The measurement is overparameterized 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 (P/P) = Bn - Di - Fk
and then compute interaction Bni

Instead model: log(P/P) = Bni - Fk directly


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Rasch Publications
Rasch Measurement Transactions (free, online) Rasch Measurement research papers (free, online) Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch
Applying the Rasch Model 2nd. Ed., Bond & Fox (Winsteps) Best Test Design, Wright & Stone Rating Scale Analysis, Wright & Masters
Introduction to Rasch Measurement, E. Smith & R. Smith Introduction to Many-Facet Rasch Measurement, Thomas Eckes (Facets) Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr. (Facets)
Statistical Analyses for Language Testers, Rita Green (Winsteps, Facets) Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Journal of Applied Measurement
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