Using Structural Equation Modeling to Examine the Influence of Social, Behavioral, and Nutritional Variables on Health Outcomes Based on NHANES Data: Addressing Complex Design, Nonnormally Distributed Variables, and Missing Information

BACKGROUND: Structural equation modeling (SEM) is a multivariate analysis method for exploring relations between latent constructs and measured variables. As a theory-guided approach, SEM estimates directional pathways in complex models based on longitudinal or cross-sectional data where randomized...

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Detalles Bibliográficos
Autores principales: Hartwell, Micah L, Khojasteh, Jam, Wetherill, Marianna S, Croff, Julie M, Wheeler, Denna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research Methodology/Study Design
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465451/
https://www.ncbi.nlm.nih.gov/pubmed/31008441
http://dx.doi.org/10.1093/cdn/nzz010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465451/
https://www.ncbi.nlm.nih.gov/pubmed/31008441
http://dx.doi.org/10.1093/cdn/nzz010

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