Handbook of Modern Item Response Theory

Handbook of Modern Item Response Theory edited by Wim J. van der Linden, Ronald K. Hambleton.

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....

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: van der Linden, Wim J. (Editor), Hambleton, Ronald K. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 1997.
Edition:1st ed. 1997.
Series:Springer eBook Collection.
Subjects:
Social sciences.
Psychometrics.
Statistics .
Biomathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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