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 ...

Abstract: A structural regression model has been developed to explore the relationship among key factors in the explanation of utilitarian walking. The model examines the relationship between and ...

Regularized estimation methods have become increasingly popular with the advent of 'Big Data' and machine learning methods. Regularized estimation purposefully introduces a small bias in order to ...

Studies globally have provided substantial evidence that PHC could conduct doctor-visiting behaviors, control medical expense, and improve population health. This study aimed to map how family doctor ...

2019 OCT 10 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Risk Management have been presented. According to news reporting from Wuhan, People’s Republic ...

Citations: Anderson, James. 1988. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin. (3)411-423.

Although it is widely acknowledged that the Web as a marketing tool or medium offers great potentials and advantages (Cook and Coupey 1998), less is known about the motivations for using the Web and ...