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- W2914749429 abstract "Nonparametric item response theory serves two purposes. The first is to provide a framework for flexible, exploratory analysis of item scores. Several procedures are available for investigating the dimensionality of test data. Estimated item response functions are checked for monotonicity and other order restrictions. Nonparametric item response models imply ordinal scales for persons and items. Ordinal scales are sufficient for many practical applications in psychology, education, sociology, and so on. The second purpose is to provide a mathematical framework for studying the potentials and the limitations of item response theory. Observable data properties implied by nonparametric item response theory may also be valuable for fitting parametric models, and relationships between item response models may be clarified. Present research in nonparametric IRT involves preference data analysis and Bayesian methods for model fitting.Keywords:nonparametric item response theory" @default.
- W2914749429 created "2019-02-21" @default.
- W2914749429 creator A5047720335 @default.
- W2914749429 date "2014-09-29" @default.
- W2914749429 modified "2023-09-24" @default.
- W2914749429 title "Nonparametric Item Response Theory Models" @default.
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- W2914749429 doi "https://doi.org/10.1002/9781118445112.stat06542" @default.
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