Reviews some of the major issues facing researchers who wish to use structural equation modeling. This title includes individual chapters that present developments on specification, estimation and testing, statistical power, software comparisons and analyzing multitrait/multimethod data.

Foreword - Kenneth A Bollen Preface - Rick H Hoyle The Structural Equation Modeling Approach - Rick H Hoyle Basic Concepts and Fundamental Issues Model Specification - Robert C MacCallum Procedures, Strategies, and Related Issues Estimates and Tests in Structural Equation Modeling - Chih-Ping Chou and Peter M Bentler Structural Equation Models with Nonnormal Variables - Stephen G West, John F Finch and Patrick J Curran Problems and Remedies Evaluating Model Fit - Li-tze Hu and Peter M Bentler Statistical Power in Structural Equation Modeling - David Kaplan Objectivity and Reasoning in Science and Structural Equation Modeling - Stanley A Mulaik and Lawrence R James One Application of Structural Equation Modeling from Two Perspectives - Barbara M Byrne Exploring the EQS and LISREL Strategies Writing about Structural Equation Models - Rick H Hoyle and Abigail T Panter Latent Variable Models for Multitrait-Multimethod Data - Herbert W Marsh and David Grayson Sex-Race Differences in Social Support and Depression in Older Low-Income Adults - Jane A Scott-Lennox and Richard D Lennox Modeling the Relation of Personality Variables to Symptom Complaints - Jay G Hull, Judith C Tedlie and Daniel A Lehn The Unique Role of Negative Affectivity Predictors of Change in Antisocial Behavior during Elementary School for Boys - Mike Stoolmiller, Terry E Duncan and Gerald Patterson