News - Recently updated info
Become a member
Component-based Methods for Predictive and Exploratory Path Modeling

Component-based approaches to modeling networks of relationships between latent variables have experienced increasing popularity over recent years and have become reference methods in the analysis of multi-block data. Among others, these approaches include Partial Least Squares Path Modeling but also to its most recent variants and alternatives, Generalized Structured Component Analysis, Regularized Generalized Canonical Correlation Analysis and THEME-SEER.

When the networks are made of directed relationships, the path modeling has a predictive purpose while undirected paths imply the study of correlations/covariances between blocks.

In such methods the estimation of factor scores (defined as composite variables) starting from blocks of manifest variables is a key to explore relations between blocks of manifest data as well as to make predictions.

This specialized group is focused on methodological and applied contributions in component-based approaches to predictive and exploratory path modeling and their related methods.

All researchers and users interested in the methods and the applications mentioned above are highly welcomed to join us.

Vincenzo Esposito Vinzi, ESSEC Business School, France.
Laura Trinchera, Rouen Business School, France.
  1. Tomas Aluja, Universitat Politecnica de Catalunya, Spain.
  2. Furio Camillo, University of Bologna, Italy.
  3. Mark De Rooij, Leiden University, Netherlands.
  4. Pasquale Dolce, ONIRIS-Nantes, France.
  5. Vincenzo Esposito Vinzi, ESSEC Business School of Paris, France.
  6. Giuseppe Giordano, Universita degli Studi di Salerno, Italy.
  7. Mohamed Hanafi, ONIRIS, France.
  8. Zied Kacem, Polytechnique Sousse, Tunisia.
  9. Henk Kiers, University of Groningen, Netherlands.
  10. Carlo Lauro, University of Naples - "Federico II", Italy.
  11. Alba Martinez-Ruiz, Universidad Catolica de la Santisima Concepcion, Chile.
  12. Mehmet Mehmetoglu, NTNU Trondheim, Norway.
  13. Elena Menichelli, NOFIMA, Norway.
  14. Fionn Murtagh, University of London, UK.
  15. Tormod Naes, NOFIMA, Norway.
  16. Francesco Palumbo, University of Naples - "Federico II", Italy.
  17. Rosaria Romano, University of Calabria, Italy.
  18. Giorgio Russolillo, CNAM, France.
  19. Maria Russolillo, University of Salerno, Italy.
  20. Gilbert Saporta, CNAM, France.
  21. Mireille Summa, Universite Paris Dauphine, France.
  22. Arthur Tenenhaus, CentraleSupelec, France.
  23. Michel Tenenhaus, HEC School of Management, France.
  24. Laura Trinchera, NEOMA Business School, France.
  25. Catherine Trottier, University of Montpellier, France.
  26. Pierre Valette-Florence, IAE Grenoble, France.
  27. Iven van Mechelen, KU Leuven, Belgium.
  28. Maurizio Vichi, University La Sapienza, Rome, Italy.
  29. Ernst Wit, University of Groningen, Netherlands.