Measurement Theory in Action Case Studies and Exercises

Measurement Theory in Action, Third Edition,helps readers apply testing and measurement theories and features 22 self-contained modules which instructors can match to their courses. Each module features an overview of a measurement issue and a step-by-step application of that theory. Best Practices provide recommendations for ensuring the appropriate application of the theory. Practical Questions help students assess their understanding of the topic. Students can apply the material using real data in the Exercises, some of which require no computer access, while others involve the use of statistical software to solve the problem. Case Studies in each module depict typical dilemmas faced when applying measurement theory followed by Questions to Ponder to encourage critical examination of the issues noted in the cases. The book’s website houses the data sets, additional exercises, PowerPoints, and more.Other features includesuggested readings to further one’s understanding of the topics, a glossary, and a comprehensive exercise in Appendix A that incorporates many of the steps in the development of a measure of typical performance. Updated throughout to reflect recent changes in the field, the new edition also features: Recent changes in understanding measurement, with over 50 new and updated references Explanations of why each chapter, article, or book in each module’s Further Readings section is recommended Instructors will find suggested answers to the book’s questions and exercises; detailed solutions to the exercises; test bank with 10 multiple choice and 5 short answer questions for each module; and PowerPoint slides. Students and instructors can access SPSS data sets; additional exercises; the glossary; and additional information helpful in understanding psychometric concepts. It is ideal as a text for any psychometrics or testing and measurement course taught in psychology, education, marketing, and management. It is also an invaluable reference for professional researchers in need of a quick refresher on applying measurement theory.

About the Authors Preface Introduction Module 1. Introduction and Overview Module 2. Statistics Review for Psychological Measurement Module 3. Psychological Scaling Module 4. Test Preparation and Specification Reliability, Validity, and Test bias Module 5. Reliability Overview: Classical Test Theory Module 6. Estimating Reliability Module 7. Content Validation Module 8. Criterion-Related Validation Module 9. Construct Validation Module 10. Validity Generalization and Psychometric Meta-Analysis Module 11. Test Bias, Unfairness, and Equivalence Practical Issues in Test Construction Module 12. Developing Tests of Maximal Performance Module 13. Classical Test Theory Item Analysis Module 14. Scoring Tests Module 15. Developing Measures of Typical Performance Module 16. Response Biases Advanced Topics Module 17. Combining Predictors Using Multiple Regression Module 18. Exploratory Factor Analysis Module 19. Confirmatory Factor Analysis Module 20. Item Response Theory Module 21. Applications of Item Response Theory: Computer Adaptive Testing and Differential Item Functioning Module 22. Generalizability Theory Appendix A. Course-Long Exercise on Psychological Scale Development Appendix B. Data Set Descriptions Glossary of Key Terms References Author Index Subject Index

Kenneth S. Shultz is Professor of Psychology at California State University, San Bernardino, USA. He teaches classes in I-O psychology, research methods, psychological testing, and statistics. He has more than 55 peer-reviewed articles, four books, and 15 book chapters. He was the recipient of the 2014-2015 John M. Pfau Outstanding Professor Award at CSUSB. David J. Whitney is Professor of Psychology at California State University, Long Beach, USA. He teaches classes in I-O psychology, psychological testing, introductory statistics, and Autism Spectrum Disorder. With 25 peer-reviewed publications, he is among the most cited researchers from his university. Michael J. Zickar is Sandman Professor of Industrial-Organizational Psychology at Bowling Green State University, Ohio, USA. He teaches classes in I-O psychology, psychometrics, and the history of psychology. He has published more than 60 peer-reviewed articles. He is also a Fellow of the Society for Industrial-Organizational Psychology.