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 course is an introduction to structural equation modeling (SEM). SEM represents a general approach to the statistical examination of the fit of a theoretical model to empirical data. Topics ...

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 ...

Developed by one of the world's leading authorities on the subject, Dr. Peter M. Bentler, EQS provides researchers and statisticians with a simple method for conducting the full range of structural ...

The 2022 Boulder Statistical Genetic Methods For Human Complex Traits workshop will be held virtually in June 2022. Topics will include: the biometrical model, structural equation modeling, path ...

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 ...

Quantitatively, both FinTech adoption and digital transformation had substantial direct effects on bank performance. The ...

IBM SPSS AMOS software helps you support your research and theories using multivariate analysis methods. Also known as powerful modelling software, AMOS is used for Structural Equation Modeling, path ...