This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM.

Table of Contents

Part 1: Fundamental Concepts. Introduction. Basic Statistical Concepts: I. Correlation and Regression. Basic Statistical Concepts: II. Data Preparation and Screening. Core SEM Techniques and Software. Part 2: Core SEM Techniques. Introduction to Path Analysis. Details of Path Analysis. Measurement Models and Confirmatory Factor Analysis. Models with Structural and Measurement Components. Part 3: Advanced Techniques, Avoiding Mistakes. Nonrecursive Structural Models. Mean Structures and Latent Growth Models. Multiple-Sample SEM. How to Fool Yourself with SEM. Other Horizons.

About the Author

Rex B. Kline, PhD, is an associate professor of Psychology at Concordia University in Montreal, Canada

Reviews

'SEM can be relatively difficult to learn for researchers without a strong grounding in matrix algebra. Kline, however, hits the nail on the head. He perfectly addresses the needs of social psychologists without formal training in mathematical statistics... This book defintiely gives justice to this aspect of SEM. It can be read by any graduate in psychology or even by keen undergraduates interested in exploring new vistas. Yet it will also constitute a surprisingly good read for experienced researchers in search of some refreshing insights in their favourite techniques. Kline has indeed negotiated a real tour de force with this second edition by succeeding in reconciling comprehensiveness and comprehensibility.' - Cedric Gineset, The Psychologist