The Basics of Item Response Theory Using R

• Main Authors: Baker, Frank B. (Author), Kim, Seock-Ho (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Statistics for Social and Behavioral Sciences,
• Subjects: Statistics.; Assessment.; Psychometrics.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Assessment, Testing and Evaluation.; Statistical Theory and Methods.

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet on...

Table of Contents:

• Introduction
• Getting Started
• 1. The Item Characteristic Curve
• 2. Item Characteristic Curve Models
• 3. Estimating Item Parameters
• 4. The Test Characteristic Curve
• 5. Estimating an Examinee’s Ability
• 6. The Information Function
• 7. Test Calibration
• 8. Specifying the Characteristics of a Test
• Appendix A: R Introduction
• Appendix B: Estimating Item Parameters under the Two-Parameter Model with Logistic Regression
• Appendix C: Putting the Three Tests on a Common Ability Scale: Test Equating
• References
• Index.