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
Rohkem infot Taylor & Francis e-raamatute kohta