Interaction Effects in Factorial Analysis of Variance

Jaccard, James

ISBN 10: 0761912215 / ISBN 13: 9780761912217

Published by SAGE Publications, Incorporated, 1997

About this Item

Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Seller Inventory # GRP87548796

Bibliographic Details

• Title: Interaction Effects in Factorial Analysis of Variance
• Publisher: SAGE Publications, Incorporated
• Publication Date: 1997
• Language: English
• ISBN 10: 0761912215
• ISBN 13: 9780761912217
• Binding: Soft cover
• Edition: 1st Edition.
• Condition: Good
• Weight: 0.313 pounds

About this title

Synopsis

Although factorial analysis is widely used in the social sciences, there is some confusion as to how to use the techniqueĘs most powerful featurełthe evaluation of interaction effects. Written to remedy this situation, author James Jaccard clearly describes the issues underlying the effective analysis of interaction in factorial designs. The book begins by describing different ways of characterizing interactions in ANOVA, elucidating both moderator conceptualizations of interactions as well as that of residualized means. After discussing interaction effects using traditional hypothesis testing approaches, he then covers alternative analytic frameworks that focus on effect size methodology and interval estimation. Jaccard summarizes criticisms of classical null hypothesis testing and offers practical guidelines for pursuing magnitude estimation and interval estimation approaches. In addition, Jaccard shows applications of all three approaches to the analysis of interactions using a complete numerical example; discusses strategies for effectively exploring interactions in higher order designs and designs with more than two levels per factor; highlights the central role of single degree of freedom contrasts and provides numerous illustrations for formulating such contrasts; considers simplified approaches to statistical power analysis; describes approaches to consider when statistical assumptions are not met; explicates the case of unequal sample sizes; considers the impact of measurement error; and demonstrates computer applications. Readers who have wanted a book that fully discusses different conceptualizations of interactions as well as one that provides practical guidelines for analyzing complex interactions will find this volume the one that they have been seeking.

About the Author

Dr. James Jaccard is Professor of Social Work at New York University Silver School of Social Work. He received his doctoral degree from the University of Illinois, Urbana, in 1976. Dr. Jaccard’s research focuses on adolescent and young adult problem behaviors, particularly those related to unintended pregnancy and substance use, broadly defined. He has developed parent-based interventions to teach parents how to more effectively communicate and parent their adolescent children so as to reduce the risk of unintended pregnancies and problems due to substance use. Dr. Jaccard 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 has written influential articles on the issue of arbitrary metrics in social science research. Dr. Jaccard also has written about theory construction and how to build conceptual models in a book published by Guilford Press.