Ontology highlight
ABSTRACT:
SUBMITTER: Hwang H
PROVIDER: S-EPMC5723672 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Frontiers in psychology 20171206
Generalized structured component analysis (GSCA) is a component-based approach to structural equation modeling (SEM), where latent variables are approximated by weighted composites of indicators. It has no formal mechanism to incorporate errors in indicators, which in turn renders components prone to the errors as well. We propose to extend GSCA to account for errors in indicators explicitly. This extension, called GSCA<sub>M</sub>, considers both common and unique parts of indicators, as postul ...[more]