| ||||||||||||||||||||||||||||||||||||
![]() |
||||||||||||||||||||||||||||||||||||
[Jak14] A software for Generalized Structured Component AnalysisConférence Internationale avec comité de lecture : 8th International Conference on Partial Least Squares and Related Methods, May 2014, pp.109, Paris, France,Mots clés: generalized structured component analysis, GSCA, PLS
Résumé:
The component-based structural equation model domain is expanding quickly with new users and new
methods. In this paper, we propose to focus on Generalized Structured Component Analysis (GSCA). The
world of structural equation models was dominated for more than two decades by the covariance-based
structural equation models also called SEM, but these last years new approaches based on different principles
have appeared, the so-called component-based SEM. SEM methods have been so popular for two reasons:
their theoretical foundations and the availability of well-known commercial software (LISREL, AMOS…).
The component-based structural equation model has suffered from two problems: the lack of global criterion
and the lack of commercial software to apply these methods. These two problems are an old story thanks to
new methods like Generalized Structured Component Analysis (GSCA) or Regularized Generalized Canonical
Correlation Analysis (RGCCA) and the XLSTAT software that offers a full toolbox for component-based
SEM.
Equipe:
msdma
BibTeX
|
||||||||||||||||||||||||||||||||||||