Explanatory item response models a generalized linear and nonlinear approach
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...
| Other Authors: | , |
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| Format: | Book |
| Language: | Inglés |
| Published: |
New York [etc] :
Springer
cop. 2004
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| Series: | Statistics for social science and public policy
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| Subjects: | |
| See on Universidad de Navarra: | https://unika.unav.edu/discovery/fulldisplay?docid=alma991009021899708016&context=L&vid=34UNAV_INST:VU1&search_scope=34UNAV_TODO&tab=34UNAV_TODO&lang=es |
Table of Contents:
- 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.
