Advanced Structural Equation Modeling : Issues and Techniques

ISBN-13: 9780805818192 / Angielski / Twarda / 1996 / 376 str.

George A. Marcoulides;Randall E. Schumacker;George A. Marcoulides

Opis

Structural equation models are used by biologists, educational and medical researchers, psychologists, social scientists and others who traditionally deal with nonexperimental and quasi-experimental data. Perhaps the most important and influential statistical revolution to have recently occurred in the scientific arena, the development of structural equation models has provided researchers with a comprehensive method for the quantification and testing of theories. Accepted today as a major component of applied multivariate analysis, structural equation modelling includes latent variables, measurement errors in both dependent and independent variables, multiple indicators, reciprocal causation, simultaneity and interdependence. As implemented in most commerical computer packages - Amos, EQS, LISREL, LISCOMP, Mx, SAS PROC-CALIS, STATISTICA-SEPATH - the method includes as special cases such procedures as confirmatory factor analysis, multiple regression, path analysis, models for time-dependent data, recursive and non-recursive models for cross-sectional and longitudinal data, and covariance structure analysis.

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.

Recenzje

"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

Spis treści

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.

O autorze

George A. Marcoulides, Randall E. Schumacker