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 ...

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. This ...

Latent factors are variables that cannot be observed directly but can be inferred from a set of observable variables. For example, in psychology, bad conduct (latent factor) can be measured by how ...

Assessments for quality of life (QOL) of the adolescent have received relatively little attention in the literature. Although there is no consensus on the definition of adolescent QOL and what aspects ...

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 ...

Structural equation modelling (SEM) and its set of methodologies has been in use in the social sciences since the 1970s, as a means to analyse the structural relationships between some measured ...

The Journal of Developing Areas, Vol. 44, No. 1 (Fall 2010), pp. 345-365 (21 pages) This paper uses annual data for the period 1970-2006 in order to estimate and investigate the evolution of the ...

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 ...

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 ...