Handbook of modern item response theory /
Item response theory has become an essential component in the toolkit of every researcher in the behavioral sciences. It provides a powerful means to study individual responses to a variety of stimuli, and the methodology has been extended and developed to cover many different models of interaction....
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York :
Springer,
©1997.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Item Response Theory: Brief History, Common Models, and Extensions
- 2. The Nominal Categories Model
- 3. A Response Model for Multiple-Choice Items
- 4. The Rating Scale Model
- 5. Graded Response Model
- 6. The Partial Credit Model
- 7. A Steps Model to Analyze Partial Credit
- 8. Sequential Models for Ordered Responses
- 9. A Generalized Partial Credit Model
- 10. A Logistic Model for Time-Limit Tests
- 11. Models for Speed and Time-Limit Tests
- 12. Multiple-Attempt, Single-Item Response Models
- 13. Unidimensional Linear Logistic Rasch Models
- 14. Response Models with Manifest Predictors
- 15. Normal-Ogive Multidimensional Model
- 16. A Linear Logistic Multidimensional Model for Dichotomous Item Response Data
- 17. Loglinear Multidimensional Item Response Model for Polytomously Scored Items
- 18. Multicomponent Response Models
- 19. Multidimensional Linear Logistic Models for Change
- 20. Nonparametric Models for Dichotomous Responses
- 21. Nonparametric Models for Polytomous Responses
- 22. A Functional Approach to Modeling Test Data
- 23. An Hyperbolic Cosine IRT Model for Unfolding Direct Responses of Persons to Items
- 24. PARELLA: An IRT Model for Parallelogram Analysis
- 25. Multiple Group IRT
- 26. Logistic Mixture Models
- 27. Models for Locally Dependent Responses: Conjunctive Item Response Theory
- 28. Mismatch Models for Test Formats that Permit Partial Information To Be Shown
- Author Index.