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


by Paul De Boeck, Mark Wilson

List Price: $84.95
Price: $68.03
You Save: $16.92 (20%)
Available: Usually ships in 24 hours
Sales Rank: 313399
Studio: Springer
Binding: Hardcover
Number Of Pages: 386
Publication Date: June 29, 2004
Publisher: Springer


ACCESSORIES

Generalizability Theory
by Robert L. Brennan

Test Equating, Scaling, and Linking: Methods and Practices (Statistics for Social and Behavioral Sciences)
by Michael J. Kolen, Robert L. Brennan



EDITORIAL REVIEWS

Product Description
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.


SIMILAR PRODUCTS

Test Equating, Scaling, and Linking: Methods and Practices (Statistics for Social and Behavioral Sciences)
by Michael J. Kolen, Robert L. Brennan

Item Response Theory for Psychologists (Multivariate Applications Book Series.)
by Susan E. Embretson, Steven P. Reise

Handbook of Modern Item Response Theory
by Wim J. van der Linden, Ronald K. Hambleton

Item Response Theory: Parameter Estimation Techniques, Second Edition (Statistics: a Series of Textbooks and Monogrphs)
by Frank B. Baker, Seock-Ho Kim

Constructing Measures: An Item Response Modeling Approach
by Mark Wilson

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