Interaction Effects in Multiple Regression

by Jaccard, James; Turrisi, Robert; Wan, Choi K.

• ISBN13: 9780803937031
• ISBN10: 0803937032
• Format: Paperback
• Copyright: 1990-03-01
• Publisher: Sage Pubns

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

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