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Interaction Effects in Multiple Regression

Second Edition

James Jaccard - New York University, USA
Robert Turrisi

Volume: 72

Series:
Quantitative Applications in the Social Sciences

March 2003 | 104 pages | SAGE Publications, Inc

Description
Contents

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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Available Formats

ISBN: 9780761927426	Paperback	Suggested Retail Price: $46.00	Bookstore Price: $36.80
ISBN: 9781544332574	Electronic Version	Suggested Retail Price: $38.00	Bookstore Price: $30.40

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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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