Bibliografía: p. 291-295

Introduction to Measurement Theory bridges the gap between texts that offer a mathematically rigorous treatment of the statistical properties of measurement and ones that discuss the topic in a basic, "cookbook" fashion. Without overwhelming novices or boring the more mathematically sophisticated, the authors effectively cover the construction of psychological tests and the interpretation of test scores and scales; critically examine classical true-score theory; and explain theoretical assumptions and modern measurement models, controversies, and developments. Practical applications, examples, and study questions facilitate a better understanding of the uses and limitations of common measures of test reliability and validity and how to perform the basic item analysis necessary for test construction.

Índice: 1. Introduction 2. A Review of Basic Statistical Concepts 3. Classical True-Score Theory 4. Reliability 5. Validity 6. Principles of Test Construction 7. Transforming and Equating Test Scores 8. Scaling 9. Special Considerations in the Use of Measurements 10. Controversies and Current Developments in Measurement 11. Strong True-Score Theories and Latent-Trait Models Appendix. Areas under the Standard Normal Curve Glossary of Symbols Answers to Computational Problems