Ringle, Christian M. (2006): Segmentation for path models and unobserved heterogeneity: The finite mixture partial least squares approach. Published in: University of Hamburg: Research Papers on Marketing and Retailing No. 35 (November 2006)
Ringle, Christian M. and Götz, Oliver and Wetzels, Martin and Wilson, Bradley (2009): On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies. Published in: Research Memoranda from Maastricht (METEOR)
Contact us: mpra@ub.uni-muenchen.de
This repository has been built using EPrints software.
MPRA is a RePEc service hosted by .