Measurement Theory in Action
Measurement Theory in Action
Case Studies and Exercises
Whitney, David; Shultz, Kenneth S; Zickar, Michael J
Taylor & Francis Ltd
12/2020
416
Dura
Inglês
9780367192174
15 a 20 dias
960
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
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