This new edition presents an up-to-date description of differential item functioning. It describes varying procedures for addressing DIF in practical testing contexts. The authors present useful examples and studies of DIF that readers may employ as a guide in their own work. They also cover major statistical packages that can be employed in DIF analysis (e.g., SPSS, SAS, M+, Minitab, and Systat).
This text is ideal for the measurement professional or advanced student who deals with educational or psychological assessment.
Table of Content
About the Authors
Series Editor′s Introduction
1. Introduction
2. Description of DIF
3. Statistical Facets of DIF
4. Important Considerations
5. History of Test Bias and DIF
6. Quick-But-Incomplete Methods
7. Mantel-Haenszel Procedure
8. Nonparametic Methods
9. IRT-Based Methods
10. Logistic Regression
11. Specialized DIF Procedures
12. Future Directions
Conclusion
References
Author Index
Subject Index
About the author
Howard T. Everson is currently Professor of Psychology at Fordham University. In addition, he serves as a consulting research scientist to the American Institutes for Research and the American Councils for International Education. Professor Everson′s research and scholarly interests focus on the intersection of cognition, instruction, and assessment. He has contributed to developments in educational psychology, psychometrics, and quantitative methods. Before joining the faculty at Fordham University, Dr. Everson was the Executive Director of the NAEP Education Statistics Services Institute at the American Institutes for Research, and is the former V.P. for Research at the College Board. Dr. Everson is a fellow of both the American Educational Research Association and the American Psychological Association.
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