Structural Equation Modeling With Many Variables: A Systematic Review of Issues and Developments

Survey data in social, behavioral, and health sciences often contain many variables (p). Structural equation modeling (SEM) is commonly used to analyze such data. With a sufficient number of participants (N), SEM enables researchers to easily set up and reliably test hypothetical relationships among...

Descripción completa

Detalles Bibliográficos
Autores principales: Deng, Lifang, Yang, Miao, Marcoulides, Katerina M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932371/
https://www.ncbi.nlm.nih.gov/pubmed/29755388
http://dx.doi.org/10.3389/fpsyg.2018.00580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5932371/
https://www.ncbi.nlm.nih.gov/pubmed/29755388
http://dx.doi.org/10.3389/fpsyg.2018.00580

Ejemplares similares