Educational and Psychological Measurement [Paperback]

Chapter 1: Introduction to Educational and Psychological Measurement? Chapter 2: Basic Statistical Concepts for Measurement? Chapter 3: Classical Test Theory? Chapter 4: Reliability? Chapter 5: Generalizability Theory??Chapter 6: Estimating interrater agreement??Chapter 7: Exploratory Factor Analysis? Chapter 8: Confirmatory Factor Analysis??Chapter 9: Validity? Chapter 10: Developing Validity Evidence??Chapter 11: Item Analysis? Chapter 12:? Item Response Theory (IRT)??Chapter 13:? Differential Item Functioning (DIF)? Chapter 14: Cognitive Diagnostic Models (CDMs)??Chapter 15: Equating and Scaling??Chapter 16: Standard Setting??Chapter 17: Computer Adaptive Testing (CAT)??Chapter 18: Fairness in Assessment? Chapter 19: The Use of AI in Testing and Assessment??References??Index

This new text provides the most current coverage of measurement and psychometrics in a single volume. 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.

This new text provides the most current coverage of measurement and psychometrics in a single volume. Authors W. Holmes Finch, Brian F. French, Jason C. Immekus, and Shenghai Dai 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.

Now in its second edition, Educational and Psychological Measurement &ll)