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The Chicago Guide to Writing about Multivariate Analysis, 2nd Edition

Jane E. Miller

University of Chicago Press
2013
Social scientists, physicians, educators, policymakers, and others depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few people are properly taught this critical skill. Since the first edition was published in 2005, The Chicago Guide to Writing about Multivariate Analysis has become the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis.

For the second edition of The Chicago Guide to Writing about Multivariate Analysis , Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models (co-authored with Julie Phillips), and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. Also new for this edition is an extensive website of supplemental materials for students and instructors, which includes slide shows, spreadsheet templates, and video lectures to illustrate the concepts and techniques from the book. Also online is a study guide of problem sets, solutions, and suggested course extensions as well as guidance for instructors interested in teaching these skills and concepts.

Reviews from the first edition: This is a terrific book that almost everyone writing or talking about multivariate analysis, from undergraduate student to veteran scholar, would find useful.” – James Trussell, professor of economics and public affairs and director, Office of Population Research, Princeton University.
“The Chicago Guide to Writing about Multivariate Analysis provides practical guidance to anyone who has to organize and present basic and complex statistical analyses. From presentations to manuscripts, from scientific to lay audiences, from simple concepts to complex ones, this book covers the waterfront of issues with an easy-to-grasp style. The book is loaded with practical examples, often illustrated with poor, better, and best ways to communicate. . . . The value of multivariate analyses lies in a clear understanding of the data, the information gleaned, the meaning, and the implications for research and action. This book should enhance that value for scientists in many disciplines and at all levels, and give them greater confidence in the effectiveness of their communication.” – Steven Teutsch, MD, MPH executive director, Outcomes Research and Management, Merck & Co.; member, U.S. Preventative Services Task Force; and fellow, Centers for Disease Control and Prevention

Jane E. Miller. The Chicago Guide to Writing about Multivariate Analysis, 2nd Edition , University of Chicago Press, 2013.



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