Interaction Effects in Logistic Regression, Issue 135

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SAGE Publications, Feb 21, 2001 - Mathematics - 70 pages
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Oriented toward the applied researcher with a basic background in multiple regression and logistic regression, this book shows readers the general strategies for testing interactions in logistic regression as well as providing the tools to interpret and understand the meaning of coefficients in equations with product terms. Using completely worked-out examples, the author focuses on the interpretation of the coefficients of interactive logistic models for a wide range of scenarios encountered in the research literature. In addition, the author avoids complex formulas in favor of simple computer-based heuristics that permit the simple calculation of parameter estimates and estimated standard errors that will typically be of interest to applied researchers.

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Interaction Effects in Logistic Regression

User Review  - profsk - Overstock.com

This is a gem of a book. Clearly explains the logic behind logistic regression and interaction effects. The examples are clear concise and logical especially for the nonmathematical statistician. I ... Read full review

Contents

Interactions Between Qualitative Predictors
18
Interactions Between Qualitative
30
Interactions Between QuantitativeContinuous Predictors
42
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About the author (2001)

James Jaccard is a Distinguished Professor of Psychology at the University of Albany, State University of New York.