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.
'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