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Interaction Effects in Logistic Regression
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Interaction Effects in Logistic Regression



February 2001 | 80 pages | SAGE Publications, Inc
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.
 
Introduction
 
Interactions between Qualitative Predictors
 
Interactions between Qualitative and Quantitative/Continuous Predictors
 
Interactions between Quantitative/Continuous Predictors
 
Multicategory Models
 
Additional Considerations

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James Jaccard

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... More About Author

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ISBN: 9780761922070
$30.00 

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