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Interaction Effects in Multiple Regression
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Interaction Effects in Multiple Regression

Second Edition


© 2003 | 104 pages | SAGE Publications, Inc
Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis.


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Series Editor's Introduction
 
Preface
 
Chapter 1: Introduction
The Concept of Interaction  
Simple Effects and Interaction Contrasts  
Simple Effects  
Interaction Contrasts  
A Review of Multiple Regression  
The Linear Model  
Hierarchical Regression  
Categorical Predictors and Dummy Variables  
Predicted Values in Multiple Regression  
Transformations of the Predictor Variables  
Overview of Book  
 
Chapter 2: Two-Way Interactions
Regression Models with Product Terms  
Two Continuous Predictors  
The Traditional Regression Strategy  
The Form of the Interaction  
Interpreting the Regression Coefficients for the Product Term  
Interpreting the Regression Coefficients for the Component Terms  
Significance Tests and Confidence Intervals  
Multicollinearity  
Strength of the Interaction Effect  
A Numerical Example  
Graphical Presentation  
A Qualitative Predictor and a Continuous Predictor  
A Qualitative Moderator Variable  
A Continuous Moderator Variable  
More Than Two Groups for the Qualitative Variable  
Form of the Interaction  
Summary  
 
Chapter 3: Three-Way Interactions
Three Continuous Predictors  
Qualitative and Continuous Predictors  
A Continuous Focal Independent Variable  
A Qualitative Focal Independent Variable  
Qualitative Variables with More than Two Levels  
Summary  
 
Chapter 4: Additional Considerations
Selected Issues  
The BiLinear Nature of Interactions for Continuous Variables  
Calculating Coefficients of Focal Independent Variables at Different Moderator Values  
Partialing the Component Terms  
Transformations  
Multiple Interaction Effects  
Standardized and Unstandardized Coefficients  
Metric Properties  
Measurement Error  
Robust Analyses and Assumption Violations  
Within-Subject and Repeated-Measure Designs  
Ordinal and Disordinal Interactions  
Regions of Significance  
Confounded Interactions  
Optimal Experimental Designs and Statistical Power  
Covariates  
Control for Experimentwise Errors  
Omnibus Tests and Interaction Effects  
Some Common Misapplications  
Interaction Models with Clustered Data and Random Coefficient Models  
Continuous Versus Discrete Predictor Variables  
The Moderator Framework Revisited  
 
References
 
Notes
 
About the Authors

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