期刊
PSYCHOMETRIKA
卷 69, 期 1, 页码 101-122出版社
SPRINGER
DOI: 10.1007/BF02295842
关键词
chi-square statistic; mean and covariance structures; EM algorithm; maximum likelihood; multivariate normal distribution; two-level structural equation models
Maximum likelihood is an important approach to analysis of two-level structural equation models. Different algorithms for this purpose have been available in the literature. In this paper, we present a new formulation of two-level structural equation models and develop an EM algorithm for fitting this formulation. This new formulation covers a variety of two-level structural equation models. As a result,the proposed EM algorithm is widely applicable in practice. A practical example illustrates the performance of the EM algorithm and the maximum likelihood statistic.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据