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

Structural Equation Modeling (SEM): A multivariate analysis technique used to evaluate complex relationships among observed and latent variables. Latent Variables: ...

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

Structural equation models are a powerful generalization of earlier statistical approaches, such as path analysis, and a widely used tool for causal inference.

EQS STRUCTURAL . 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 ...

The impact of residential neighborhood type on travel behavior: A structural equations modeling approach. Annals of Regional Science, (362):279–297. doi: 10.1007/s001680200083. Bamberg, S., ...

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 ...