Structural Equation Modeling (SEM) is valuable for modeling constructs that are not directly observable, such as attitudes or perceptions, by using measurable indicators. This approach is crucial for ...

Multilevel structural equation modeling (ML-SEM) combines the advantages of multi-level modeling and structural equation modeling and enables researchers to scrutinize complex relationships between ...

Structural equation modeling is a powerful tool for dealing with these difficulties using a simultaneous equation framework with unobserved constructs and manifest indicators which are error-prone.

A structural equation modeling of predictive factors of mathematics undergraduates academic achievement Oluwanife Segun Falebita * † Akorede A. Asanre † Admire Chibisa Department of Mathematics, ...

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 ...

This study examined influences on delinquency and recidivism using structural equation modeling. The sample comprised 199,204 individuals: 99,602 youth whose cases had been processed by the South ...