Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach (Statistics for Social and Behavioral Sciences) Book + PRICE WATCH * Amazon pricing is not included in price watch

Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach (Statistics for Social and Behavioral Sciences) Book

This book offers a way of thinking about psychometric models of the item-response type (IRT) as logistic mixed models. There are three clear advantages to this approach. First, one can see how the many different IRT models relate to one another, as they are built up from a common set of principles. Second, the user can formulate her or his models, selecting among these principles and modifying them according to one's modeling needs. Third, the approach is closely linked withthe possibilities of PROC NLMIXED from SAS, so that estimation is mostly not difficult.Read More

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  • 0387402756
  • 9780387402758
  • 9 August 2004
  • Springer
  • Hardcover (Book)
  • 386
  • illustrated edition
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