introduction to basic concepts, principles, and applications of structural equation modeling including path analysis, confirmatory latent variable models, multiple-group modeling, and latent growth ...

The model is considerably more general than cluster analysis, multigroup confirmatory factor analysis, and multi-group structural equation modeling. In particular, the model subsumes several ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

Developed by one of the world's leading authorities on the subject, Dr. Peter M. Bentler, EQS provides researchers and statisticians with a simple method for conducting the full range of structural ...

In this article a systematic statistical approach is developed for the general polynomial structural equation model. The new procedure applies a method of moments procedure similar to the one used in ...

Advanced Topics in R: parallel processing, structural equation modeling, and the bootstrap Advanced Topics in R: parallel processing, structural equation modeling, and the bootstrap Course Topics R is ...