Best Practices in Logistic Regression - Paperback

by Jason W. Osborne (Author)

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.

Author Biography

Jason W. Osborne is Professor and Chairperson of the Department of Educational and Counseling Psychology, Counseling, and College Student Personnel in the College of Education and Human Development at the University of Louisville. He teaches and publishes on best practices in quantitative and applied research methods. He has published over fifty articles in peer-reviewed scholarly journals and has presented over seventy papers at both national and international conferences. He also published Best Practices in Data Cleaning with SAGE in 2013, and Best Practices in Quantitative Methods with SAGE in 2008. He is active in research and has been awarded almost ten million dollars in research grants. He continues to regularly publish in journals on issues related to social justice and diversity.