Titlebook: Essays on Item Response Theory; Anne Boomsma,Marijtje A. J. Duijn,Tom A. B. Snijde Book 2001 Springer Science+Business Media New York 2001

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On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the Futurerement challenges in education and cognitive psychology. This leads to assessment models that do not look very much like today’s IRT models, but for which the tools and conceptual framework of nonparametric and parametric IRT are still quite well suited.

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Lecture Notes in Statisticshttp://image.papertrans.cn/e/image/315316.jpg

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Nicaragua as a Sobering Illustration,, and latent additivity. It is argued that concepts such as item homogeneity, person homogeneity, and unidimensionality do not hold for all generalizations of the Rasch model (RM). Four directions of generalizing the model are discussed: the multidimensional, the ordinal polytomous, the linear logis

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https://doi.org/10.1007/978-1-59259-314-9manifest predictors is a comprehensive framework for the detection of DIF. These models also support the investigation of the causes of DIF. In principle, the responses to every item in a test can be subject to DIF, and traditional IRT-based detection methods require one or more estimation runs for

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