Introduction to Structural Equation Modeling: Issues and Practical Considerations

TLDR

Structural equation modeling (SEM) is a versatile statistical tool whose estimation techniques, modeling capacities, and applications are rapidly expanding. The module introduces common SEM terminologies and aims to inform readers of its foundational issues, potentials, and limitations. The module outlines the general steps of SEM, provides simple beginner examples, and briefly reviews popular specialized software and their features.

Abstract

Structural equation modeling (SEM) is a versatile statistical modeling tool. Its estimation techniques, modeling capacities, and breadth of applications are expanding rapidly. This module introduces some common terminologies. General steps of SEM are discussed along with important considerations in each step. Simple examples are provided to illustrate some of the ideas for beginners. In addition, several popular specialized SEM software programs are briefly discussed with regard to their features and availability. The intent of this module is to focus on foundational issues to inform readers of the potentials as well as the limitations of SEM. Interested readers are encouraged to consult additional references for advanced model types and more application examples.