Structural Equation Modeling: Concepts, Issues, and Applications

This book includes chapters on major aspects of the structural equation modeling approach to research design and data analysis. It targets graduate students and seasoned researchers in the social and behavioral sciences who wish to understand the basic concepts and issues associated with the structural equation modeling approach and applications to research problems. Though technically sound, the chapters are primarily nontechnical in content and stylemaking the volume an excellent introduction to the structural equation modeling approach for readers studied in traditional inferential statistics. Early chapters are devoted to fundamental concepts such as estimation, fit, assumptions, power, and inference. Later chapters address such practical issues as the use of computer programs for applying the approach to research questions in the social and behavioral sciences. Contents: - Basic Concepts - Model Specification - Estimates and Tests - Nonnormal Variables - Evaluating Model Fit - Statistical Power - Objectivity and Reasoning - Exploring the EQS and LISREL Strategies - Writing about Structural Equation Models - Latent Variable Models - Sex-Race Differences in Social Support and Depression in Older Low-Income Adults - Modeling the Relation of Personality Variables to Symptom Complaints - Predictors of Change in Antisocial Behavior During Elementary School for Boys.