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Levy, Roy; Mislevy, Robert J.; Sinharay, Sandip – Applied Psychological Measurement, 2009
If data exhibit multidimensionality, key conditional independence assumptions of unidimensional models do not hold. The current work pursues posterior predictive model checking, a flexible family of model-checking procedures, as a tool for criticizing models due to unaccounted for dimensions in the context of item response theory. Factors…
Descriptors: Item Response Theory, Models, Methods, Simulation
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Sinharay, Sandip; Johnson, Matthew S.; Stern, Hal S. – Applied Psychological Measurement, 2006
Model checking in item response theory (IRT) is an underdeveloped area. There is no universally accepted tool for checking IRT models. The posterior predictive model-checking method is a popular Bayesian model-checking tool because it has intuitive appeal, is simple to apply, has a strong theoretical basis, and can provide graphical or numerical…
Descriptors: Predictive Measurement, Item Response Theory, Bayesian Statistics, Models