Interaction Effects in Logistic Regression

by James Jaccard

Overview

This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.

Product Details

ISBN-13:	9781544332598
Publisher:	SAGE Publications
Publication date:	02/21/2001
Series:	Quantitative Applications in the Social Sciences , #135
Sold by:	Barnes & Noble
Format:	eBook
Pages:	80
File size:	2 MB

About the Author

Dr. James Jaccard is Professor of Social Work at New York University Silver School of Social Work. He received his doctoral degree from the University of Illinois, Urbana, in 1976. Dr. Jaccard’s research focuses on adolescent and young adult problem behaviors, particularly those related to unintended pregnancy and substance use, broadly defined. He has developed parent-based interventions to teach parents how to more effectively communicate and parent their adolescent children so as to reduce the risk of unintended pregnancies and problems due to substance use. Dr. Jaccard has written numerous books and articles on the analysis of interaction effects in a wide range of statistical models and teaches advanced graduate courses on structural equation modeling. He has written influential articles on the issue of arbitrary metrics in social science research. Dr. Jaccard also has written about theory construction and how to build conceptual models in a book published by Guilford Press.

Table of Contents

Introduction
Interactions between Qualitative Predictors
Interactions between Qualitative and Quantitative/Continuous Predictors
Interactions between Quantitative/Continuous Predictors
Multicategory Models
Additional Considerations