E-Book, Englisch, 382 Seiten, eBook
de Boeck / Wilson Explanatory Item Response Models
2004
ISBN: 978-1-4757-3990-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Generalized Linear and Nonlinear Approach
E-Book, Englisch, 382 Seiten, eBook
Reihe: Statistics for Social and Behavioral Sciences
ISBN: 978-1-4757-3990-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
1 A framework for item response models.- 2 Descriptive and explanatory item response models.- 3 Models for polytomous data.- 4 An Introduction to (Generalized (Non)Linear Mixed Models.- 5 Person regression models.- 6 Models with item and item group predictors.- 7 Person-by-item predictors.- 8 Multiple person dimensions and latent item predictors.- 9 Latent item predictors with fixed effects.- 10 Models for residual dependencies.- 11 Mixture Models.- 12 Estimation and software.- Afterword.
