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.
Rick H. Hoyle, Ph.D., is Professor of Psychology and Neuroscience at Duke University. He is a Fellow of the American Psychological Association (Divisions 5, Evaluation, Measurement, and Statistics, and 9, Society for the Psychological Study of Social Issues) and a Fellow and Charter Member of the Association for Psychological Science. Dr. Hoyle has served as Associate Editor of the Journal of Personality and Social Psychology, Journal of Personality, and Self and Identity, and Editor of Journal of Social Issues. Among his book projects are, Selfhood: Identity, Esteem, Regulation (coauthored with Michael Kernis, Mark Leary, and Mark Baldwin) and the Handbook of Individual Differences in Social Behavior (co-edited with Mark Leary).