Model Evaluation via Confirmatory Tetrad Analysis for Component-Based Structural Equation Modeling: A Simulation Study

• In Event: Advanced Structural Equation Modeling and Hierarchical Modeling at Roundtable

Abstract

Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling (SEM). As with other SEM approaches, model evaluation is a crucial procedure in GSCA. However, the few descriptive measures of model evaluation available for GSCA are limited to evaluating models in a more confirmatory manner. This study conducts a simulation study to examine the effect of confirmatory tetrad analysis (CTA) into GSCA for model evaluation or comparison. CTA identifies true model at 62% when it was compared with equivalent model. The efficiency goes up 89% when it was compared with a model more deviated from the true model. CTA is actually more compatible with GSCA because it is completely free of the multivariate normality assumption.

Authors

• Hyun Suk Ryoo

• Seohee Park, American Board of Internal Medicine

• Seongeun Kim, University of North Carolina at Greensboro

• Ji Hoon Ryoo, Yonsei University