An EM Algorithm for Fitting Two-Level Structural Equation Models
PsychometrikaPublished 1 March 2004
Jiajuan Liang, Peter M. Bentler
Citations78
SJR quartileQ1
SJR score1.90
SNIP2.06
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Abstract
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.
Keywords
Computer ScienceDecision Sciences
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