- 643 pages
- English
- PDF
- Available on iOS & Android
The Theory and Practice of Item Response Theory
About This Book
Noted for addressing both the "hows" and "whys" of item response theory (IRT), this text has been revised and updated with the latest techniques (multilevel models, mixed models, and more) and software packages. Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common data sets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices. New to This Edition
*Chapter on multilevel models.
*New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics.
*Many additional worked-through examples.
*Updated guidance on software; now includes R, SAS, and flexMIRT.
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Information
Table of contents
- Cover
- Half Title Page
- Series Page
- Title Page
- Copyright
- Dedication
- Series Editorâs Note
- Preface
- Contents
- 1. Introduction to Measurement
- 2. The One-Parameter Model
- 3. Joint Maximum Likelihood Parameter Estimation
- 4. Marginal Maximum Likelihood Parameter Estimation
- 5. The Two-Parameter Model
- 6. The Three-Parameter Model
- 7. Rasch Models for Ordered Polytomous Data
- 8. Non-Rasch Models for Ordered Polytomous Data
- 9. Models for Nominal Polytomous Data
- 10. Models for Multidimensional Data
- 11. Linking and Equating
- 12. Differential Item Functioning
- 13. Multilevel IRT Models
- References
- Author Index
- Subject Index
- About the Author