By focusing primarily on the application of structural equation modeling (SEM) techniques in example cases and situations, this book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. The book was written for a broad audience crossing many disciplines, assumes an understanding of graduate level multivariate statistics, including an introduction to SEM. Contents: G.A. Marcoulides, R.E. Schumacker,Introduction. W. Wothke,Models for Multitrait-Multimethod Matrix Analysis. K.G. Jöreskog, F. Yang,Nonlinear Structural Equation Models: The Kenny-Judd Model With Interaction Effects. J.J. McArdle, F. Hamagami,Multilevel Models From a Multiple Group Structural Equation Perspective. J.B. Willett, A.G. Sayer,Cross-Domain Analyses of Change Over Time: Combining Growth Modeling and Covariance Structure Analysis. S.L. Hershberger, P.C.M. Molenaar, S.E. Corneal,A Hierarchy of Univariate and Multivariate Structural Times Series Models. Y-F. Yung, P.M. Bentler,Bootstrapping Techniques in Analysis of Mean and Covariance Structures. K.A. Bollen,A Limited-Information Estimator for LISREL Models With or Without Heteroscedastic Errors. J.L. Arbuckle,Full Information Estimation in the Presence of Incomplete Data. L.J. Williams, H. Bozdogan, L. Aiman-Smith,Inference Problems With Equivalent Models. H.W. Marsh, J.R. Balla, K-T. Hau,An Evaluation of Incremental Fit Indices: A Clarification of Mathematical and Empirical Properties.