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Interaction effects in multiple regression

Author: Jaccard, James ; Turrisi, Robert Series: Quantitative applications in the social sciences ; 72 Publisher: Sage, 2003.Edition: 2nd ed.Language: EnglishDescription: 92 p. : Graphs ; 22 cm.ISBN: 9780761927426Type of document: BookBibliography/Index: Includes bibliographical references
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Europe Campus
Main Collection
Print H61.25 .Q83 72 2003
(Browse shelf)
Available 001376820
Total holds: 0

Includes bibliographical references


Interaction Effects in
Multiple Regression
Series Editor's Introduction vii
Preface ix
1. Introduction 1
The Concept of Interaction 3
Simple Effects and Interaction Contrasts 4
Simple Effects 5
Interaction Contrasts 5
A Review of Multiple Regression 7
The Linear Model 8
Hierarchical Regression 11
Categorical Predictors and Dummy Variables 12
Predicted Values in Multiple Regression 14
Transformations of the Predictor Variables 15
Overview of Book 16
2. Two-Way Interactions 16
Regression Models With Product Terms 16
Two Continuous Predictors 18
The Traditional Regression Strategy 18
The Form of the Interaction 21
Interpreting the Regression Coefficient
for the Product Term 22
Interpreting the Regression Coefficients
for the Component Terms 23
Significance Tests and Confidence Intervals 26
Multicollinearity 27
Strength of the Interaction Effect 28
A Numerical Example 29
Graphical Presentation 31
A Qualitative Predictor and a Continuous Predictor 32
A Qualitative Moderator Variable 33
A Continuous Moderator Variable 36
More Than Two Groups for the Qualitative Variable 39
Form of the Interaction 42
Summary 43
3. Three-Way Interactions 43
Three Continuous Predictors 44
Qualitative and Continuous Predictors 49
A Continuous Focal Independent Variable 51
A Qualitative Focal Independent Variable 55
Qualitative Variables With More Than Two Levels 57
Summary 60
4. Additional Considerations 60
Selected Issues 60
The Bilinear Nature of Interactions
for Continuous Variables 60
Calculating Coefficients of Focal Independent
Variables at Different Moderator Values 62
Partialing the Component Terms 64
Transformations 65
Multiple-Interaction Effects 66
Standardized and Unstandardized Coefficients 68
Metric Properties 69
Measurement Error 72
Robust Analyses and Assumption Violations 73
Within-Subject and Repeated-Measure Designs 75
Ordinal and Disordinal Interactions 78
Regions of Significance 81
Confounded Interactions 83
Optimal Experimental Designs and Statistical Power 84
Covariates 84
Control for Experimentwise Error 85
Omnibus Tests and Interaction Effects 86
Some Common Misapplications 86
Interaction Models With Clustered
Data and Random Coefficient Models 87
Continuous Versus Discrete Predictor Variables 88
The Moderator Framework Revisited 88
References 89
Notes 91
About the Authors 92

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