Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10327726 | Computational Statistics & Data Analysis | 2005 | 47 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Michel Tenenhaus, Vincenzo Esposito Vinzi, Yves-Marie Chatelin, Carlo Lauro,