Explanatory item response models: a generalized linear and nonlinear approach
Boeck, Paul de
Wilson, Mark
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 theoryof generalized linear and nonlinear mixed models. It also includes a chapter on the statistical background and one on useful software. . INDICE: A Framework for Item Response Models.- Descriptive and ExplanatoryItem Response Models.- Models for Polytomous Data.- An Introduction to (Generalized) (Non) Linear Mixed Models.- Person Regression Models.- Models with Item and Item Group Predictors.- Person-by-item Predictors.- Multiple Person Dimensions and Latent Item Predictors.- Latent Item Predictors with Fixed Effects.- Models for Residual Dependencies.- Mixture Models.- Estimation and Software.
- ISBN: 978-1-4419-2323-3
- Editorial: Springer
- Encuadernacion: Rústica
- Fecha Publicación: 31/03/2012
- Nº Volúmenes: 1
- Idioma: Inglés