Handbook of Structural Equation Modeling

Hoyle, Rick H.

ISBN 10: 1606230778 / ISBN 13: 9781606230770

Published by The Guilford Press, 2012

About this Item

Minor wear. The pages are clean with no highlighting or writing. The DJ has a little shelf wear with folded and crushed edges in places. 30-day returns. Shipments destined outside Canada may be subject to duties in the country where the customer resides. ; 7.75 X 1.75 X 9.75 inches; 740 pages; R0 so.

Seller Inventory # 8719

Bibliographic Details

• Title: Handbook of Structural Equation Modeling
• Publisher: The Guilford Press
• Publication Date: 2012
• Language: English
• ISBN 10: 1606230778
• ISBN 13: 9781606230770
• Binding: Hardcover
• Condition: Very Good
• Dust Jacket Condition: Very Good

About this title

Synopsis

 

The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, along with an international group of contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.

 

About the Author

Rick H. Hoyle is Professor of Psychology and Neuroscience at Duke University, where he serves as Associate Director of the Center for Child and Family Policy and Director of the Methodology and Statistics Core in the Transdisciplinary Prevention Research Center. He is a Fellow of the Association for Psychological Science, the American Psychological Association, and the Society of Experimental Social Psychology. He has written extensively on SEM and other statistical and methodological strategies for the study of complex social and behavioral processes.