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) 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.

Structural equation modelling (SEM) provides a holistic theoretical framework that assesses both the relationship between observed variables and a latent factor, and also relationships between ...

Lynn B. Meuleners, Andy H. Lee, Colin W. Binns, Anthony Lower, Quality of Life for Adolescents: Assessing Measurement Properties Using Structural Equation Modelling ...

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 ...

Nextatlas, the data-driven research platform, used social media data and structural equation models to find consumption drivers in CPG in the US.

A new research paper was published in Volume 12 of Oncoscience on July 31, 2025, titled “Burnout among oncology nurses and technicians in Morocco: Prevalence, risk factors, and structural equation ...

José Brambila Macias, Guido Cazzavillan, MODELING THE INFORMAL ECONOMY IN MEXICO. A STRUCTURAL EQUATION APPROACH, The Journal of Developing Areas, Vol. 44, No. 1 (Fall 2010), pp. 345-365 ...