You are here

Best Practices in Logistic Regression
Share

Best Practices in Logistic Regression

Companion Website


© 2015 | 488 pages | SAGE Publications, Inc
Jason W. Osborne’s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne’s applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.

Best Practices in Logistic Regression explains logistic regression in a concise and simple manner that gives students the clarity they need without the extra weight of longer, high-level texts.
 
1. A Conceptual Introduction to Bivariate Logistic Regression
 
2. Under the Hood with Logistic Regression
 
3. Performing Simple Logistic Regression
 
4. Conceptual and Practical Introduction to Testing Assumptions and Cleaning Data for Logistic Regression
 
5. Continuous Variables In Logistic Regression (And Why You Should Not Convert Them To Categorical Variables!)
 
6. Dealing with Unordered Categorical Predictors in Logistic Regression
 
7. Curvilinear Effects in Logistic Regression
 
8. Multiple Predictors in Logistic Regression (Including Interaction Effects)
 
9. A Brief Overview of Probit Regression
 
10. Logistic Regression and Replication: A Story Of Sample Size, Volatility, and Why Resampling Cannot Save Biased Samples but Data Cleaning And Independent Replication Can
 
11. Missing Data, Sample Size, Power, and Generalizability of Logistic Regression Analyses
 
12. Multinomial and Ordinal Logistic Regression: Modeling Dependent Variables with More Than Two Categories
 
13. Hierarchical Linear Models with Binary Outcomes: Multilevel Logistic Regression

Supplements

Companion Website
Data sets for the exercises and additional resources are available on the free open-access site.

 “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
Key features

KEY FEATURES:

  • Provides an accessible and applied approach to learning and teaching logistic regression
  • Clear explanations elaborated through useful case examples, vignettes, figures, and tables
  • Numerous computer outputs included to provide visual reference for conceptual material
  • Covers many topics, such as volatility, data cleaning, and nonlinear effects, typically ignored by other texts
  • Explains core topics in a useful, easy-to-read manner
  • The helpful, briefer alternative to dense high-end monographs on the subject

Sample Materials & Chapters

Chapter 1

Chapter 7


Preview this book

For instructors

Review and Desk copies for this title are available digitally via VitalSource.

Request e-review copy

If you require a print review copy, please call: (800) 818-7243 ext. 6140 or email textsales@sagepub.com.

Purchasing options

Please select a format:

ISBN: 9781452244792

This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.