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Model Setting and Interpretation of Results in Research Using Structural Equation Modeling: A Checklist with Guiding
Hyuncheol Kang1, Jung-Won Ahn2
1Department of Big Data and AI, Hoseo University, Asan, Republic of Korea.
Purpose:
This study develops a checklist with guidelines for the methods and important factors to consider in research using structural equation modeling (SEM).
Method:
The paper discusses the factors to consider in the process across the three stages of 1) model setting, 2) model evaluation and modification, and 3) interpretation and reporting of SEM-based studies.
Results:
The authors present a checklist for researchers during the stages of model setting, model evaluation and modification, result analysis, and reporting, along with examples of figures and tables with explanations.
Conclusion:
A checklist will help to improve the reporting quality of SEM-based studies.
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