Structural equation modeling (SEM) is a flexible multivariate statistical approach that has become increasingly popular in psychological research. The course will include lectures and practical ...

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 ...

Structural Equation Modeling (SEM) is a statistical technique that allows researchers to examine complex relationships between observed and latent variables. In the context of, for example, ...

The Bayesian structural equation model integrates the principles of Bayesian statistics, providing a more flexible and comprehensive modeling framework. In exploring complex relationships between ...

Abstract: This study aims to explore the causal relationship between latent construct in a structural model by considering the role of moderating variables. Structural equation modeling (SEM) is the ...