Principles and Practice of Structural Equation Modelling
Publication Date 1 Jan 2004
OverviewThis 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.
Out of Stock
Sorry but this item is out of stock, please check back again soon.