Two-level Mean and Covariance Structures: Maximum Likelihood via an EM Algorithm

Peter M. Bentler, Jiajuan Liang
An EM-type gradient algorithm for analysis of maximum likelihood estimation of the two-level structural equation modle 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 statistic for testing the model fit are given. Simulation studies show that the proposed EM gradient algorithm converges very fast and need not be accelerated by existing techniques in the literature.
1999-09-01