Skip to Content

Advanced Structural Equation Modeling

Issues and Techniques

Edited by George A. Marcoulides, Randall E. Schumacker

Psychology Press – 1996 – 376 pages

Purchasing Options:

  • Add to CartHardback: $125.00
    978-0-8058-1819-2
    December 31st 1995

Description

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.

Reviews

"The purpose of this volume is to introduce the latest issues and developments in structural equation modeling techniques….should be accessible to readers with only a modest mathematical background."

Journal of the American Statistical Association

"The statistical methods presented in the chapters bear many extremely promising theoretical features….a valuable resource book for methodologists….will undoubtedly inspire further developments in the literature on structural equation modeling."

American Journal of Psychology

Contents

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.

Name: Advanced Structural Equation Modeling: Issues and Techniques (eBook)Psychology Press 
Description: Edited by George A. Marcoulides, Randall E. Schumacker. 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...
Categories: Factor Analysis, SEM, Multilevel & Longitudinal Modeling, Multivariate Statistics, Quantitative Methods