Model Evaluation in Generalized Structured Component Analysis Using Confirmatory Tetrad Analysis.

ABSTRACT: Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling (SEM). GSCA regards weighted composites or components of indicators as proxies for latent variables and estimates model parameter via least squares without resorting to a distributional assumption such as multivariate normality of indicators. As with other SEM approaches, model evaluation is a crucial procedure in GSCA that is used to examine whether a hypothesized model is consistent with the data in hand. However, the few descriptive measures of model evaluation available for GSCA are limited to evaluating models in a more confirmatory manner. This study integrates confirmatory tetrad analysis (CTA) into GSCA for model evaluation or comparison. Although CTA has been used in fact

SUBMITTER: Ryoo JH 

PROVIDER: S-EPMC5447725 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature