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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Detalles Bibliográficos
Autores principales: Jung, Kwanghee, Lee, Jaehoon, Gupta, Vibhuti, Cho, Gyeongcheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797821/
https://www.ncbi.nlm.nih.gov/pubmed/31681066
http://dx.doi.org/10.3389/fpsyg.2019.02215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797821/
https://www.ncbi.nlm.nih.gov/pubmed/31681066
http://dx.doi.org/10.3389/fpsyg.2019.02215

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