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Introduction to Structural Equation Modeling: Issues and Practical Considerations
Author(s) -
Lei PuiWa,
Wu Qiong
Publication year - 2007
Publication title -
educational measurement: issues and practice
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.158
H-Index - 52
eISSN - 1745-3992
pISSN - 0731-1745
DOI - 10.1111/j.1745-3992.2007.00099.x
Subject(s) - structural equation modeling , computer science , focus (optics) , simple (philosophy) , management science , software , software engineering , data science , programming language , engineering , epistemology , machine learning , philosophy , physics , optics
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.