Titlebook: Explanatory Item Response Models; A Generalized Linear Paul Boeck,Mark Wilson Book 2004 Springer Science+Business Media New York 2004 SAS.p

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2199-7357 predictors are given special attention, but we also discuss descriptive models. Note that the ‘item responses‘ that we are referring to are not just the traditional ‘test data,‘ but are broadly conceived as ca978-1-4419-2323-3978-1-4757-3990-9Series ISSN 2199-7357 Series E-ISSN 2199-7365

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Kaiserlichen Normal-Aichungs-Kommissionon also denoted as . (LIDs). Situations in which residual dependencies may occur are ample. Consider for instance the case where items of a reading test can be subdivided into groups of items each sharing the same reading passage. Data from a test with reading passages may show more dependencies tha

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Descriptive and explanatory item response modelsome of them are more complex than the common item response models. On the one hand, all four models provide a measurement of individual differences, but on the other hand we use the models to demonstrate how the effect of person characteristics and of item design factors can be investigated. The mod

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Introduction

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Person regression modelsng person characteristics as predictors. The resulting models can be called latent regression models, since the latent person abilities (the .) are regressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then t