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Full Description
This new text provides the most current coverage of measurement and psychometrics in a single volume. Authors W. Holmes Finch and Brian F. French first review the basics of psychometrics and measurement, before moving on to more complex topics such as equating and scaling, item response theory, standard setting, and computer adaptive testing. Also included are discussions of cutting-edge topics utilized by practitioners in the field, such as automated test development, game-based assessment, and automated test scoring. This book is ideal for use as a primary text for graduate-level psychometrics/measurement courses, as well as for researchers in need of a broad resource for understanding test theory.
Features:
"How it Works" and "Psychometrics in the Real World" boxes break down important concepts through worked examples, and show how theory can be applied to practice.
End-of-chapter exercises allow students to test their comprehension of the material, while suggested readings and website links provide resources for further investigation.
A collection of free online resources include the full output from R, SPSS, and Excel for each of the analyses conducted in the book, as well as additional exercises, sample homework assignments, answer keys, and PowerPoint lecture slides.
Contents
1. Introduction to Educational and Psychological Measurement 2. Basic Statistical Concepts for Measurement 3. Classical Test Theory 4. Reliability 5. Generalizability Theory 6. Estimating Interrater Agreement 7. Exploratory and Confirmatory Factor Analysis 8. Validity 9. Developing Validity Evidence 10. Item Analysis 11. Item Response Theory (IRT) 12. Differential Item Functioning (DIF) 13. Cognitive Diagnostic Models (CDM) 14. Equating and Scaling 15. Standard Setting 16. Computer Adaptive Testing (CAT) 17. Recent and Future Directions in Measurement
