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 ...

Models were evaluated using structural equation modeling based on data from 190 plots across a coastal marsh landscape. The accepted model was found to explain 45% of the observed variation in ...

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

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

We propose an empirical framework, spurred by recent developments in the implementation of generalized structural equation modeling (GSEM), which brings to bear a modular and all-inclusive approach to ...

Structural Equation Modeling (SEM) Structural Equation Modeling (SEM) Course Topics Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory ...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares ...

Analyzing longitudinal social relations model data using the social relations structural equation model. Journal of Educational and Behavioral Statistics, 47, 231-260.