Maximum Likelihood Estimation of Latent Interaction Effects with the LMS Method

作者：Andreas Klein, Helfried Moosbrugger · 发表于：Psychometrika · 年份：2000 · DOI：10.1007/bf02296338 · 被引用次数：1415 · 研究领域：Advanced Statistical Modeling Techniques、Sensory Analysis and Statistical Methods、Statistical Methods and Applications

In the context of structural equation modeling, a general interaction model with multiple latent interaction effects is introduced. A stochastic analysis represents the nonnormal distribution of the joint indicator vector as a finite mixture of normal distributions. The Latent Moderated Structural Equations (LMS) approach is a new method developed for the analysis of the general interaction model that utilizes the mixture distribution and provides a ML estimation of model parameters by adapting the EM algorithm. The finite sample properties and the robustness of LMS are discussed. Finally, the applicability of the new method is illustrated by an empirical example.