Assessing statistical differences between parameters estimates in Partial Least Squares path modeling

Structural equation modeling using partial least squares (PLS-SEM) has become a main-stream modeling approach in various disciplines. Nevertheless, prior literature still lacks a practical guidance on how to properly test for differences between parameter estimates. Whereas existing techniques such...

Descripción completa

Detalles Bibliográficos
Autores principales: Rodríguez-Entrena, Macario, Schuberth, Florian, Gelhard, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794822/
https://www.ncbi.nlm.nih.gov/pubmed/29416182
http://dx.doi.org/10.1007/s11135-016-0400-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5794822/
https://www.ncbi.nlm.nih.gov/pubmed/29416182
http://dx.doi.org/10.1007/s11135-016-0400-8

Ejemplares similares