Best Practices in Logistic Regression

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9781452244792: Best Practices in Logistic Regression

 “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)

Reseña del editor:

Throughout the book the author uses simple, intuitive examples from a range of disciplines to demonstrate important aspects of logistic regression and its many uses. The author explains these concepts clearly and seeks to further developed students' understanding with the use of cases, vignettes and a multitude of figures and tables.

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