Comparison of Bootstrap Confidence Interval Methods for GSCA Using a Monte Carlo Simulation

Generalized structured component analysis (GSCA) is a theoretically well-founded approach to component-based structural equation modeling (SEM). This approach utilizes the bootstrap method to estimate the confidence intervals of its parameter estimates without recourse to distributional assumptions,...

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Bibliographic Details
Main Authors: Kwanghee Jung, Jaehoon Lee, Vibhuti Gupta, Gyeongcheol Cho
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpsyg.2019.02215/full