Testing and the Paradoxes of Fairness

Howard Wainer is an award-winning American statistician and research scientist. His areas of work include testing, graphical methods for data analysis and communication, and robust statistical methodology. He has served on the faculty of the University of Chicago, at the Bureau of Social Science Research during the Carter Administration, and as Principal Research Scientist in the Research Statistics Group at Educational Testing Service for twenty-one years, and in 2016, he retired after fifteen years as Distinguished Research Scientist at the National Board of Medical Examiners. Daniel H. Robinson is the K-16 Mind, Brain, and Education Endowed Chair at the University of Texas at Arlington. He received his Ph.D. in Educational Psychology in 1993 from the University of Nebraska where he majored in both learning/cognition and statistics/research. He previously taught at Mississippi State University, the University of South Dakota, the University of Louisville, the University of Texas at Austin, and Colorado State University. He has served as department chair, director, and associate dean of research.

'There is not a more pragmatically effective, yet maligned field in the behavioral sciences than the measurement of human abilities. It has been effective precisely because it has been built around measurement, and yet it is maligned precisely because it has been so effective in addressing real world issues. In 'Testing and the Paradoxes of Fairness' Howard Wainer and Daniel Robinson masterfully describe how and why this has occurred.' David Lubinski, Intelligence

• Preface; 1. Introduction to the history of testing; 2. Why tests are so widely disliked; 3. The origins of mental testing in the US military; 4. Testing in grades K-12; 5. Licensing exams: physicians, pilots and teachers as examples; 6. Admission testing for higher education; 7. Tests used for awarding scholarships and prizes; 8. Using student test scores to evaluate teachers: an assessment of value-added modeling; 9. Dividing test scores into subcomponents; 10. On cost functions in testing; 11. Evidence in science: what data can we trust?; 12. Testing zombies; 13. Coda; References; Index.