Learn what structural equation modeling (SEM) is, how it works, and how it can improve your marketing research. Discover the benefits, challenges, and applications of SEM.

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

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

Structural equation modeling is a multivariate data analysis technique that allows researchers to concurrently analyze multiple relationships among manifest and latent variables. Two main approaches ...

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 ...

Problem: Partial least squares (PLS), a form of structural equation modeling (SEM), can provide much value for causal inquiry in communication-related and behavioral research fields. Despite the wide ...

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 ...