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 ...

Introduction: This study investigates the factors influencing the adoption and behavioral intention toward eLearning models in nursing education, using Structural Equation Modeling (SEM) with Partial ...

We propose a multilevel structural equation model to investigate the interrelationships between childhood socio-economic circumstances, partnership formation and stability, and mid-life health, using ...

Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...

Structural equation modeling (SEM) is a powerful statistical approach for the testing of networks of direct and indirect theoretical causal relationships in complex data sets with intercorrelated ...

Background: While the positive relationship between physical activity and wellbeing is well-established, the mediating roles of self-efficacy and resilience remain insufficiently understood. This ...

ABSTRACT: Background: Mother-To-Child Transmission (MTCT) of HIV-1 and associated mortality remain unacceptably high despite extensive implementation of Prevention of Mother-To-Child Transmission ...