Interaction Effects in Multiple Regression

by ; ;
Format: Paperback
Pub. Date: 1990-03-01
Publisher(s): Sage Pubns
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Summary

''. . . The authors take an intuitive approach of explaining interactions in selected applications from psychology and sociology to make reading and understanding the material easy. . . . The book contains 90 references and is a good introduction to studying interactions. . . . the recommendations are useful guidelines to practitioners who use multiple regression extensively. The authors are certainly successful in meeting their goal, which is to present a readable and practical introduction; to interactions for social science researchers with a working knowledge of multiple regression and structural equation modeling." --Journal of Management Research For the social science researcher wishing to know more about interaction effects in multiple regression, this book is a must. It offers a practical, readable guide for analyzing interaction effects in the context of multiple regression and structural equation analyses. Moreover, an examination of the central issues involved in conducting analyses of moderated relationships involving continuous variables is included.

Table of Contents

Series Editor's Introduction
Preface
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
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
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
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
Table of Contents provided by Ingram. All Rights Reserved.

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