Measurement Theory in Action

Case Studies and Exercises
3. Auflage 2020
ISBN: 978-0-367-19218-1
Verlag: Routledge

Buch, Englisch, 434 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 628 g

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.

Zielgruppe

Undergraduate Core

Autoren/Hrsg.

Shultz, Kenneth S

Whitney, David J.

Whitney, David

Zickar, Michael J

Fachgebiete

• Sozialwissenschaften Psychologie Allgemeine Psychologie Differentielle Psychologie, Persönlichkeitspsychologie Psychologische Diagnostik, Testpsychologie
• Sozialwissenschaften Pädagogik Pädagogik Bildungssystem Prüfungen und Beurteilungen
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

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

Über Autor(innen)

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.