Overview

Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers' day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. In addition, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation.

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9781439873687

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Reviews

This thorough and readable work covers important topics spanning specific and general causation to experimental design. It offers engaging examples, lucid explanations, and a thorough consideration of truly important issues, giving readers the knowledge to deal more effectively with ethically charged situations. A valuable guide for sorting through ethical issues in the behavioral, social, and biomedical sciences. -C.K. Gunsalus, Director, National Center for Professional and Research Ethics, and Research Professor, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign

... even the most experienced statisticians will find the extensive quoted extracts and discussions entertaining, informative, and illuminating. ... The volume will provide a great source of illustrative material to enliven courses teaching the ideas and methods behind the topics discussed within it. More than that, however, a course, or perhaps a reading group, based around this book would complement the necessarily dryer material describing the ideas and structures of statistical methods. It would drive home the vital importance of statistics to modern society and certainly make the students sit up and take notice. In short, the authors are to be congratulated on producing a wonderful volume. I believe that all students of statistics, perhaps of science more generally, would benefit substantially from reading it (and then re-reading it when they had a few years' practical experience under their belts). -David J. Hand, International Statistical Review (2013), 81, 2 ... valuable as a reference ... . There is a 40-page bibliography, a six-page author index, a 14-page subject index, and a 13-page list of sources, plus a 105 page online supplement that consists mostly of legal decisions and recommended reading. Using all the resources provided, one can assemble a very long list of issues and applications, with readings and references. ... recommended ... a resource the statistically sophisticated teacher can mine for material from which to create their own examples to engage students. -Robert W. Hayden, MAA Review, December 2012 This thorough and readable work covers important topics spanning specific and general causation to experimental design. It offers engaging examples, lucid explanations, and a thorough consideration of truly important issues, giving readers the knowledge to deal more effectively with ethically charged situations. A valuable guide for sorting through ethical issues in the behavioral, social, and biomedical sciences. -C.K. Gunsalus, Director, National Center for Professional and Research Ethics, and Research Professor, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign

... valuable as a reference ... . There is a 40-page bibliography, a six-page author index, a 14-page subject index, and a 13-page list of sources, plus a 105 page online supplement that consists mostly of legal decisions and recommended reading. Using all the resources provided, one can assemble a very long list of issues and applications, with readings and references. ... recommended ... a resource the statistically sophisticated teacher can mine for material from which to create their own examples to engage students. -Robert W. Hayden, MAA Review, December 2012 This thorough and readable work covers important topics spanning specific and general causation to experimental design. It offers engaging examples, lucid explanations, and a thorough consideration of truly important issues, giving readers the knowledge to deal more effectively with ethically charged situations. A valuable guide for sorting through ethical issues in the behavioral, social, and biomedical sciences. -C.K. Gunsalus, Director, National Center for Professional and Research Ethics, and Research Professor, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign

Author Information

Lawrence Hubert is the Lyle H. Lanier Professor of Psychology and a professor of statistics and educational psychology at the University of Illinois. He is a fellow of the American Statistical Association, American Psychological Association, Association for Psychological Science, American Association for the Advancement of Science, and American Educational Research Association. Dr. Hubert has been a recipient of honors, including the Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring from Division 5 of the American Psychological Association. His research focuses on the development of exploratory methods for data representation in the behavioral sciences, emphasizing cluster analysis, spatially oriented multidimensional scaling techniques, and network representation procedures. Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners and adjunct professor of statistics at the Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association and American Educational Research Association. Dr. Wainer has been a recipient of several honors, including the Samuel J. Messick Award for Distinguished Scientific Contributions Award from Division 5 of the American Psychological Association and the Career Achievement Award from the National Council on Measurement in Education. His research encompasses the use of graphical methods for data analysis and communication, robust statistical methodology, and the development and application of generalizations of item response theory.

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