PLS path modeling

Michel Tenenhaus ^[3] ; Vincenzo Esposito Vinzi ^[3] ^[1] ; Yves-Marie Chatelin ^[2] ; Carlo Lauro ^[1]
1. [1] University of Naples Federico II
  
  University of Naples Federico II
  
  Nápoles, Italia
2. [2] Institut de l’Elevage
  
  Institut de l’Elevage
  
  Francia
3. [3] HEC School of Management
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Localización: Computational statistics & data analysis: The official journal of the International Association for Statistical Computing, ISSN 0167-9473, Nº. 1, 2005, págs. 159-205
Idioma: inglés
DOI: 10.1016/j.csda.2004.03.005
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Resumen
- A presentation of the Partial Least Squares approach to Structural Equation Modeling (or PLS Path Modeling) is given together with a discussion of its extensions. This approach is compared with the estimation of Structural Equation Modeling by means of maximum likelihood (SEM-ML). Notwithstanding, this approach still shows some weaknesses. In this respect, some new improvements are proposed. Furthermore, PLS path modeling can be used for analyzing multiple tables so as to be related to more classical data analysis methods used in this field. Finally, a complete treatment of a real example is shown through the available software.