Best Practices in Logistic Regression

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Best Practices in Logistic Regression

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Review

 “This text is extremely student-friendly . . . it is a nearly perfect balance of conceptual explanation and application using example data sets” (Denna L. Wheeler, Oklahoma State University Center for Health Sciences)“This is an absolutely stellar approach to a very difficult and under-used analysis. The use of humor, practical

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Review

 “This text is extremely student-friendly . . . it is a nearly perfect balance of conceptual explanation and application using example data sets” (Denna L. Wheeler, Oklahoma State University Center for Health Sciences)“This is an absolutely stellar approach to a very difficult and under-used analysis. The use of humor, practical examples, the use of real data, and the inclusion of both basic and advanced concepts without being overly concerned with the derivation of the analysis, foster a better understanding of logistic regression.” (Frank B. Underwood, University of Evansville)“The text will serve well to widely expand the usage of the logistic regression in social science research. The not-too-technical explanation of core concepts, with numerous computer outputs for illustrations, makes it a perfect text for the senior undergraduate and graduate-level course, as well as a reference for the analytical practitioner.” (Professor David Han, University of Texas, San Antonio)“I appreciate the emphasis on application and the coverage of topics that are useful in research but neglected by other books on this method.” (Dr. Chuck W. Peek, University of Florida)“This is a very impressive book. The topic is timely.” (Shanta Pandey, Washington University, St. Louis) “It is a very good text and covers topics, such as the need to clean data, inefficiency/volatility of estimates, and missing data effects, that are not generally dealt with.” (P. Neal Ritchey, University of Cincinnati)“The book includes detailed explanations of various logistic regression models using a range of data and analysis results. It is very suitable for social science students.” (Daoqin Tong, University of Arizona)“This book is concise, accessible, and reader-friendly, particularly for those in education research. The value of this book lies not only in laying out certain “best practices,” but more importantly in pointing out common pitfalls and showing newcomers the way around.” (Yang Cao, University of North Carolina, Charlotte)

About the Author

Jason W. Osborne is Associate Provost and Dean of the Graduate School at Clemson University in Clemson, South Carolina.  He is also Professor of Applied Statistics in the Department of Mathematical Sciences, with a secondary appointment in Public Health Science.  He teaches and publishes on “best practices” in quantitative and applied research methods. He has served as evaluator or consultant on projects in public education (K-12), instructional technology, higher education, nursing and health care, medicine and medical training, epidemiology, business and marketing, and jury selection in death penalty cases. He served as founding editor of Frontiers in Quantitative Psychology and Measurement and has been on the editorial boards of several other journals (such as Practical Assessment, Research, and Evaluation). Jason also publishes on identification with academics (how a student’s self-concept impacts motivation to succeed in academics) and on issues related to social justice and diversity (such as Stereotype Threat). He is the very proud father of three, and holds the rank of third degree black belt in Songahm Tae Kwon Do. The rest is subject to change without notice (as Anne McCaffrey wrote in her bio).  

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