PLS path modeling

M. TENENHAUS, V. Vincenzo Esposito Vizi, Y. Chatelin, C. Lauro

Computational Statistics and Data Analysis

janvier 2005, vol. 48, n°1, pp.159-205

Départements : Economie et Sciences de la décision

Mots clés : Structural equation modeling, Partial least squares, PLS approach, Multiple table analysis

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