Tests are better than other metrics like high school GPA or letters of recommendation at predicting individual performance, but they can also exhibit racial, class, and sex disparities. This practical book charts how to maximize efficiency in personnel selection while minimizing adverse impact and maintaining fairness.
Tests are better than other metrics like high school GPA or letters of recommendation at predicting individual performance, but they can also exhibit racial, class, and sex disparities. This practical book charts how to maximize efficiency in personnel selection while minimizing adverse impact and maintaining 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.
Inhaltsangabe
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.
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.
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