Explanatory Item Response Models: A Generalized. De-Boeck, Wilson**

Springer-Verlag New York Inc.

Gain a new and integrated introduction to item response models with 'Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach' by Paul De Boeck and Mark Wilson. This hardcover book explores item response models from the viewpoint of statistical theory, broadening their application beyond descriptive uses to explanatory ones. Discover how item responses can be modeled using various predictors, including characteristics of items, persons, and their combinations, whether observed or latent, continuous or categorical. This comprehensive volume covers a wide range of models, including extant and novel ones, with a special focus on those with explanatory predictors. It also addresses descriptive models and expands the concept of 'item responses' to include categorical data from repeated observations, longitudinal designs, and experimental designs. This book is suitable for a broad audience interested in measurement applications in psychology, education, and other social sciences.