Statistical Theories of Mental Test Scores
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- Description
- Contents
One of the most important books in the history of psychometrics has been virtually unavailable to scholars and students for decades. A gap in the archives of modern test theory is now being filled by the release in paperback for the first time of the classic text, Statistical Theories of Mental Test Scores, by the late and honored statisticians and psychometricians, Frederic M. Lord and Melvin R. Novick. No single book since 1968 when Lord & Novick first appeared has had a comparable impact on the practice of testing and assessment. Information Age Publishing is proud to make this classic text available to a new generation of scholars and researchers.
Part I. The Foundations of Mental Measurement Theory
- Chapter 1. Measurement in Psychology and Education
- Chapter 2. The Construction of True and Error Scores
- Part II. The Classical Test Theory Model
- Chapter 3. Basic Equations of the Classical Model for Tests of Fixed Length
- Chapter 4. Composite Tests
- Chapter 5. Basic Equations of the Classical Model for Homogeneous Tests of Variable Length
- Chapter 6. Factors Affecting Measurement Precision, Estimation, and Prediction
- Chapter 7. Some Estimates of Parameters of the Classical Model
- Part III. Other Weak True-Score Models
- Chapter 8. Some Test Theory for Imperfectly Parallel Measurements
- Chapter 9. Types of Reliability Coefficients and Their Estimation
- Chapter 10. Some Test Theory for r-Equivalent Measurements, Including Estimation of Higher Order Moments
- Chapter 11. Item Sampling in Test Theory and in Research Design
- Part IV. Validity and Test Construction Theory
- Chapter 12. Validity
- Chapter 13. The Selection of Predictor Variables
- Chapter 14. Measurement Procedures and Item-Scoring Formulas
- Chapter 15. Item Parameters and Test Construction
- Chapter 16. Latent Traits and Item Characteristic Functions
- Part V. Some Latent Trait Models and Their Use in Inferring an Examinee's Ability
- Chapter 17. Some Latent Trait Models
- Chapter 18. Test Scores, Sufficient Statistics, and the Information Structures of Tests
- Chapter 19. Classification by Ability Levels
- Chapter 20. Estimation of an Ability