Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences) - Brossura

Jaccard, James; Turrisi, Robert

Brossura

ISBN 10: 0761927425 ISBN 13: 9780761927426

Casa editrice: SAGE Publications, Inc, 2003

Riassunto

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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Su questo libro

L'autore

James Jaccard is currently Professor of Social Work; Associate Dean for Research; Co-director, Center for Latino Adolescent and Family Health in the NYU Silver School of Social Work. He received his doctoral degree from the University of Illinois in 1976 and is the director of the Institute for Child Health and Development at Florida International University in Miami. He previously was a distinguished research professor at the State University of New York in Albany, where he was in both the department of psychology and the School of Social Welfare.

Dr. Jaccard was trained as a social-developmental scientist with specialties in attitude change and decision making, particularly as applied to young adolescents. Dr. Jaccard’s research focuses on adolescent problem behaviors related to unintended pregnancy and substance use. He has developed programs for parents of adolescents to teach parents how to more effectively communicate and parent their children so as to reduce the risk of unintended pregnancies and problems due to substance use. He was involved in the seminal work on the influential Theory of Reasoned Action and has developed several effective parent-based interventions to prevent adolescent risk behaviors. Dr. Jaccard was one of the designers of the National Longitudinal Study of Adolescent Health (Add Health), which interviewed over 20,000 adolescents and their mothers in a multi-wave wave panel design. Add Health is one of the largest and most influential secondary data bases on adolescent health in the United States.

Dr. Jaccard also has an extensive background in psychometrics and statistical methods. He has written numerous books and articles on the analysis of interaction effects in a wide range of statistical models, and teaches advanced graduate courses on structural equation modeling. He is currently developing a general framework for statistical analysis that eschews p values and focuses instead on magnitude estimation and margins of error. He in on the editorial board of the Journal of the Society for Social Work and reviews quantitative applications to social work research for the journal.

Finally, Dr. Jaccard has written about theory construction and how to build conceptual models. He recently completed a book with Professor Jacob Jacoby that gives social scientists practical, hands-on approaches for generating ideas and translating them into coherent theories.

Contenuti

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

Dettagli dell?edizione

• Editore: SAGE Publications, Inc
• Data di pubblicazione: 2003
• ISBN 10: 0761927425
• ISBN 13: 9780761927426
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 2
• Numero di pagine: 104