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 ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...

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 seminal work of Bentler (1970), Blalock (1971), Jöreskog (1974), Muthen (1984) and Bollen (1989) laid the foundation for a comprehensive theoretical SEM framework.

The empirical framework endorses a modular and holistic approach to model building that enhances the overall model development process and simplifies model validation, production and redevelopment. We ...

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 ...

Junhyoung Kim, Jinmoo Heo, In Heok Lee, Wonseok Suh, Hyangmi Kim, The Contribution of Organized Activity to Cultural Sensitivity and Personal and Social Development: A Structural Equation Model, ...