Jiajuan Liang

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An EM-type gradient algorithm for analysis of maximum likelihood estimation of the two-level structural equation model with both mean and covariance structures is proposed. The model considered in this paper is a generalization of that studied by Lee and Poon (1998). Approximate standard error of the maximum likelihood estimation and the chi-squared(More)
Maximum likelihood is commonly used for estimation of model parameters in analysis of two-level structural equation models. Constraints on model parameters could be encountered in some situations such as equal factor loadings for different factors. Linear constraints are the most common ones and they are relatively easy to handle in maximum likelihood(More)
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