Structural Equation Modeling and Latent Variable Approaches
Title
Structural Equation Modeling and Latent Variable Approaches
Author
Liu, Alex
Research Area
Methods of Research
Topic
Statistical Methods
Abstract
Structural equation modeling and latent variable approach (SEM) is experiencing rapid development with wide application as a result of using big data and modern computing technologies. This essay first gives an introduction of SEM, and then summarizes the foundational research in developing better fit indices and in developing more efficient computing algorithms. Also, we review two most important cutting‐edge researches in using SEM for causal analysis and in managing workflows of SEM. For the future SEM research, we have discussed issues of big data, new applications, equivalent models, and hybrid modeling.