Maximum likelihood and generalized least squares analyses of two level structural equation models

DOI10.1016/0167-7152(92)90206-KzbMath0761.62102MaRDI QIDQ1195556

Sik-Yum Lee, Wai-Yin Poon

Publication date: 14 December 1992

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

zbMATH Keywords

normalityMonte Carlo studyunbalanced designsmaximum likelihoodgeneralized least squares methodssmall level-one samplestwo-level structural equation model

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Linear inference, regression (62J99)

Related Items (3)

Generalized multilevel structural equation modeling ⋮ Multilevel models for censored and latent responses ⋮ Latent Variable Modelling: A Survey*

Uses Software

• IMSL Numerical Libraries

Cites Work

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• A study of algorithms for covariance structure analysis with specific comparisons using factor analysis
• Matrix derivatives with chain rule and rules for simple, Hadamard, and Kronecker products
• Structural analysis of covariance and correlation matrices
• A general model for the analysis of multilevel data
• Multilevel analysis of structural equation models
• A simple comprehensive model for the analysis of covariance structures: Some remarks on applications
• Missing Observations in Multivariate Statistics. III: Large Sample Analysis of Simple Linear Regression
• A general method for analysis of covariance structures
• Balanced versus unbalanced designs for linear structural relations in two‐level data

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