The new framework allows the domain of item response models to be co ordinated and broadened to emphasize their explanatory uses beyond their standard descriptive uses the basic explanatory principle is that item responses can be modeled as a function of predictors of various kinds. 1 a framework for item response models 2 descriptive and explanatory item response models 3 models for polytomous data 4 an introduction to generalized nonlinear mixed models 5 person regression models 6 models with item and item group predictors 7 person by item predictors 8 multiple person dimensions and latent item predictors 9 latent item predictors with fixed effects . In this way a broad range of models is generated including a wide range of extant item response models as well as some new ones within this range models with explanatory predictors are given special attention in this book but we also discuss descriptive models. Chapter 5 explanatory item response models a brief introduction mark wilson paul de boeck and claus h carstensen in this chapter we illustrate the use of item response models to analyze data result ing from the measurement of competencies these item response models deal with. Bayesian and frequentist cross validation methods for explanatory item response models by daniel c furr doctor of philosophy in education university of california berkeley professor sophia rabe hesketh chair the chapters of this dissertation are intended to be three independent publishable pa
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