Kenneth S Shultz, David Whitney, Michael J Zickar

Measurement Theory in Action (eBook, ePUB)

Case Studies and Exercises

• Format: ePub

Produktbeschreibung

This book 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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 434
• Erscheinungstermin: 29. Dezember 2020
• Englisch
• ISBN-13: 9781000287950
• Artikelnr.: 60689435

Autorenporträt

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.

Inhaltsangabe

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