Table of Contents
Series Editor's Introduction
Preface
1. Introduction
Probabilities and Odds
The Logistic Regression Model
Categorical Predictors and Dummy Variables
Predicted Values in Logistic Regression
Interpretation of Coefficients
Probabilities, Odds, and Log Odds Revisited
Transformations of the Predictor Variables
Definition of Interaction
Hierarchically Well-Formulated Models
Product Term Analysis Versus Separate Logistic Regressions
2. Interactions Between Qualitative Predictors
Two-Way Interactions
Three-Way Interactions
3. Interactions Between Qualitative and Quantitative/Continuous Predictors
Two-Way Interactions With a Qualitative Moderator Variable
Two-Way Interactions With a Quantitative Moderator Variable
Three-Way Interactions
4. Interactions Between Quantitative/Continuous Predictors
Two-Way Interactions
Three-Way Interactions
5. Multicategory Models
Ordinal Regression Models
Multicategory Nominal Variables
6. Additional Considerations
Methods of Presenting Interaction Effects
Calculating Confidence Intervals
Calculating Coefficients of Focal Independent Variables at Different Moderator Values
The Bilinear Nature of Interactions for Continuous/Quantitative Variables
Partialling the Component Terms
Multiple Interaction Effects
Multicollinearity
Model Selection and Trimming
Transformations
Confounded Interactions
Computer Software
Notes
References
About the Author