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Explanatory item response models : a generalized linear and nonlinear approach : with 50 figures
Autor: Paul De Boeck, Mark Wilson
Rok: 2004
ISBN: 9780387402758
NKP-CNB: bod031-006399357
OKCZID: 110196178
Citace (dle ČSN ISO 690):
DE BOECK, Paul, ed. a WILSON, Mark, ed. Explanatory item response models: a generalized linear and nonlinear approach : with 50 figures. New York: Springer, 2004. xxii, 382 stran. Statistics for social science and public policy.
Anotace
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.