Structural equation modeling is an important tool in research in the social sciences, and this updated edition keeps pace with the newest methodologies, including providing a SEM-text web page with free access to data and program files for the examples here. Kline (psychology, Concordia U., Montreal) gives beginners and those who want to keep in step fundamental concepts, including basic statistics such as correlation and regression, data preparation and screening, and their applications to SEM techniques and software. He then describes core techniques such as path analysis, measurement models and confirmatory factor analysis, and models with structural and measurement components. He then helps advanced users avoid mistakes in nonrecursive structural models, means structure and latent growth models, and multiple-sample SEM.