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Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach (Statistics for Social and Behavioral Sciences) 2004th Edition

by Paul de Boeck (Editor), Mark Wilson (Editor)
5 out of 5 stars 1 customer review
ISBN-13: 000-0387402756
ISBN-10: 0387402756
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Product Details

  • Series: Statistics for Social and Behavioral Sciences
  • Hardcover: 382 pages
  • Publisher: Springer; 2004 edition (June 29, 2004)
  • Language: English
  • ISBN-10: 0387402756
  • ISBN-13: 978-0387402758
  • Product Dimensions: 6.1 x 0.9 x 9.2 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,383,249 in Books (See Top 100 in Books)

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5.0 out of 5 starsexcellent volume on the regression model approach to IRT
By JVerkuilen on September 6, 2007
Format: Hardcover
Excerpts of my review from Psychometrika are above. Unfortunately half the quotes really apply to the other book I was reviewing at the time, the title by Skrondal and Rabe-Hesketh (which is also a nice book, but rather different). Anyway, this book very much deserves a five star rating. It shows how many IRT models fit together as regression models in the generalized linear (or nonlinear) mixed model framework. SAS code is provided for nearly all models in the book. The breadth of talented authors assembled by the editors is substantial. This is an excellent book for "advanced" users of IRT or people who are proficient with GLMMs and want to use them as measurement models. It is not a "beginner's book" by any stretch of the imagination, but a very good title to own if you want to start doing projects with real data. In addition to the SAS code, one of the must useful features of the book is the fact that the authors keep to only a few datasets, which means you get a very intensive look at them. Clever!
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