Advanced Structural Equation Modeling Issues and Techniques

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.

George A. Marcoulides, Randall E. Schumacker