Jeffrey Smith
Professor and Associate Dean
University of Otago in New Zealand
Jeffrey Smith is professor and Associate Dean (Research) in the College of Education at the University of Otago in New Zealand. For 29 years he was on the faculty of Rutgers University, serving the Department of Educational Psychology as professor and chair. From 1988 to 2005 he also served as Head of the Office of Research and Evaluation at the Metropolitan Museum of Art. He has written or edited eight books on educational assessment and statistics, the psychology of aesthetics, and educational psychology. He has published more than 70 research articles and reviews in the field of education, also founding and co-editing a journal, Psychology of Aesthetics, Creativity, and the Arts. Smith received his undergraduate degree from Princeton University and his PhD from the University of Chicago.
By This Author
Test Scoring and Analysis Using SAS®
By Ron Cody and Jeffrey Smith
Aimed at non-statisticians working in education or training, Test Scoring and Analysis Using SAS® describes item analysis and test reliability in easy-to-understand terms, and teaches you SAS programming to score tests, perform item analysis, and estimate reliability. Maximizing flexibility, the scoring and analysis programs enable you to analyze tests with multiple versions, define alternate correct responses for selected items, and repeat the scoring with selected items deleted.
*This book is out of print.
Featured Authors
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Todd Case has been working in the pharmaceutical industry as a statistical programmer for over 20 years. He completed his MS in Epidemiology from Columbia University and has worked at Forest Laboratories (now Allergan), Genentech, Bristol-Myers Squibb, and Biogen. He currently works at Vertex Pharmaceuticals.
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Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.
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Robert N. Rodriguez retired from SAS in 2018 after serving as a senior director in research and development. Bob received a PhD in statistics from the University of North Carolina at Chapel Hill and was a research statistician at General Motors Research Laboratories before joining SAS.
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Terisa Roberts is a director and Global Solution lead for Risk Modeling and Decisioning at SAS. She has extensive experience in quantitative risk management, regulatory compliance, and model governance and validation. She has worked in financial services, telecommunications, government, energy, and retail sectors.