Multiple person dimensions and latent item predictors
In this chapter, we discuss two extensions to the item response models presented in the first two parts of this book: more than one random effect for persons (multidimensionality) and latent item predictors. We only consider models with random person weights (following a normal distribution), and with no inclusion of person predictors (except for the constant). The extensions can be applied in much the same way to the other models that were discussed in the first two parts of this book.
KeywordsItem Response Theory Item Parameter Random Weight Discrimination Parameter Item Response Model
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