Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates.

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 ...

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 ...

Purpose This study uses structural equation modeling to assess the utility of the behavioral risk factor surveillance system (BRFSS)—the Centers for Disease Control's premier surveillance tool for ...

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 ...

A secondary analysis of the PerPAIN study investigates the link between early-life adversity and fibromyalgia symptom severity, highlighting the role of perceived stress.

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 ...