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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Descriptive and explanatory item response modelsels range from descriptive measurement for the case where no such effects are investigated, to explanatory measurement for the case where person properties and/or item properties are used to explain the effects of persons and/or items.

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BRIEF

Models with item and item group predictorsl be described as linear logistic test models (LLTM; Fischer, 1995) with an error term in the prediction of item difficulty. When this random item variation is combined with random person variation, models with . are obtained. All models in this chapter are of that kind.

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2199-7357 d other social science areas) from the viewpoint of the statThis edited volume gives a new and integrated introduction to item re- sponse models (predominantly used in measurement applications in psy- chology, education, and other social science areas) from the viewpoint of the statistical theory of

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https://doi.org/10.1007/978-3-7091-7913-0a’ context to which item response models are traditionally applied, and (c) to place these models in a larger statistical framework that will enable the reader to use a generalized statistical approach and also to take advantage of the flexibility of statistical computing packages that are now available.

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Valentin L. Popov,Markus He?,Emanuel Willertgressed on person characteristics. A special kind of a person characteristic is a person group: for instance, pupils can be grouped in schools. Then there are two possibilities for modeling, either we can define random school effects, or we can utilize school indicators with fixed effects.

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Handbuch der viruswirksamen Desinfektionding item indicator. The LLTM explains these effects in terms of item properties, or in other words item properties are used as item predictors. Therefore, the LLTM may be considered an item explanatory model, in contrast with the Rasch model which is descriptive.

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