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TitleSome Recent Advances in Two-level Structural Equation Models: Estimation, Testing and Robustness
Creator
Date Issued2005-03
Source PublicationContemporary Multivariate Analysis and Design of Experiments
ISBN9789812561206
Publication PlaceSwitzerland
PublisherSpringer International Publishing
Abstract

Estimation, testing and robustness are three common problems in two-level structural equation models. Liang & Bentler (2004a) developed the EM approach to estimation of model parameters and studied the asymptotic properties of the estimators. In a series of articles, Yuan and Bentler studied the problems of testing model fit and the robustness of tests and standard errors. This paper reviews some recent advances in research on the three problems, and provides some numerical comparisons between our methodology and selected existing ones.

Language英语English
KeywordMean and covariance structure two-level structural equation model testing hypothesis maximum likelihood estimation robustness
Citation statistics
Document TypeBook chapter
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/5271
CollectionResearch outside affiliated institution
Affiliation
1.University of California, Los Angeles, Department of Psychology, Box 951563, Los Angeles, CA 90095-1563, U.S.A.
2.University of New Haven, School of Business, 300 Boston Post Road, West Haven, CT 06516, U.S.A.
3.University of Notre Dame, Department of Psychology, Notre Dame, IN 46556, U.S.A.
Recommended Citation
GB/T 7714
Peter M. Bentler,JIAJUAN LIANG,Ke-Hai Yuan. Some Recent Advances in Two-level Structural Equation Models: Estimation, Testing and Robustness. Switzerland: Springer International Publishing, 2005.
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