Measurement theory in action : case studies and exercises
著者
書誌事項
Measurement theory in action : case studies and exercises
Routledge, 2021
3rd ed
- : hbk
- : pbk
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注記
Revised edition of the authors' Measurement theory in action, 2014
Includes bibliographical references(p.[395]-407) and index
内容説明・目次
内容説明
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 include suggested 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.
目次
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
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