Average Reviews:
(More customer reviews)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!
Click Here to see more reviews about: Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach (Statistics for Social and Behavioral Sciences)
This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. It also includes a chapter on the statistical background and one on useful software.
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