Component-based Structural Equation Modelling - HEC Paris - École des hautes études commerciales de Paris Accéder directement au contenu
Rapport Année : 2008

Component-based Structural Equation Modelling

Résumé

Two complementary schools have come to the fore in the field of Structural Equation Modelling (SEM): covariance-based SEM and component-based SEM. The first approach has been developed around Karl Jöreskog and the second one around Herman Wold under the name "PLS" (Partial Least Squares). Hwang and Takane have proposed a new component-based SEM method named Generalized Structured Component Analysis. Covariance-based SEM is usually used with an objective of model validation and needs a large sample. Component-based SEM is mainly used for score computation and can be carried out on very small samples. In this research, we will explore the use of ULS-SEM, PLS, GSCA, path analysis on block principal components and path analysis on block scales on customer satisfaction data. Our conclusion is that score computation and bootstrap validation are very insensitive to the choice of the method when the blocks are homogenous.
Fichier non déposé

Dates et versions

hal-00580149 , version 1 (26-03-2011)

Identifiants

  • HAL Id : hal-00580149 , version 1

Citer

Michel Tenenhaus. Component-based Structural Equation Modelling. 2008. ⟨hal-00580149⟩

Collections

HEC CNRS LARA
103 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More