Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach

Statistics for Social and Behavioral Sciences

by Paul de Boeck (Editor), Mark Wilson (Editor)

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.

404 pages, Paperback

First published June 29, 2004