About This Book
The area of Psychometrics, a field encompassing the statistical methods used in Psychological and educational testing, has become a very important and active area of research, evident from the large body of literature that has been developed in the form of books, volumes and research papers.
Mainstream statisticians also have found profound interest in the field because of its unique nature.This book presents a state of the art exposition of theoretical, methodological and applied issues in Psychometrics. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with recent challenging psychometric problems.
Key Features/
- Emphasis on the most recent developments in the field
- Plenty of real, often complicated, data examples to demonstrate the applications of the statistical techniques
- Information on available software
- Authors from the leading testing companies
- Emphasis on the most recent developments in the field
- Plenty of real, often complicated, data examples to demonstrate the applications of the statistical techniques
- Information on available software
Frequently asked questions
Information
Table of contents
- Front cover
- Title page
- Copyright page
- Preface
- Table of contents
- Contributors
- Ch. 1. A History and Overview of Psychometrics
- Ch. 2. Selected Topics in Classical Test Theory
- Ch. 3. Validity: Foundational Issues and Statistical Methodology
- Ch. 4. Reliability Coefficients and Generalizability Theory
- Ch. 5. Differential Item Functioning and Item Bias
- Ch. 6. Equating Test Scores
- Ch. 7. Electronic Essay Grading
- Ch. 8. Some Matrix Results Useful in Psychometric Research
- Ch. 9. Factor Analysis
- Ch. 10. Structural Equation Modeling
- Ch. 11. Applications of Multidimensional Scaling in Psychometrics
- Ch. 12. Multilevel Models in Psychometrics
- Ch. 13. Latent Class Analysis in Psychometrics
- Ch. 14. Random-Effects Models for Preference Data
- Ch. 15. Item Response Theory in a General Framework
- Ch. 16. Rasch Models
- Ch. 17. Hierarchical Item Response Theory Models
- Ch. 18. Multidimensional Item Response Theory
- Ch. 19. Mixture Distribution Item Response Models
- Ch. 20. Scoring Open Ended Questions
- Ch. 21. Assessing the Fit of Item Response Theory Models
- Ch. 22. Nonparametric Item Response Theory and Special Topics
- Ch. 23. Automatic Item Generation and Cognitive Psychology
- Ch. 24. Statistical Inference for Causal Effects, with Emphasis on Applications in Psychometrics and Education
- Ch. 25. Statistical Aspects of Adaptive Testing
- Ch. 26. Bayesian Psychometric Modeling From An Evidence-Centered Design Perspective
- Ch. 27. Value-Added Modeling
- Ch. 28. Three Statistical Paradoxes in the Interpretation of Group Differences: Illustrated with Medical School Admission and Licensing Data
- Ch. 29. Meta-Analysis
- Ch. 30. Vertical Scaling: Statistical Models for Measuring Growth and Achievement
- Ch. 31. Cognitive Diagnosis
- Ch. 32. The Statistical Procedures Used in National Assessment of Educational Progress: Recent Developments and Future Directions
- Ch 33. Statistical Procedures Used in College Admissions Testing
- Ch. 34. Future Challenges in Psychometrics
- Subject Index
- Handbook of Statistics Contents of Previous Volumes