University of Twente Proceedings

Segmentation of PLS path models by iterative reweighted regressions

Schlittgen, Rainer and Ringle, Christian M. and Sarstedt, Marko and Becker, Jan-Michael (2015) Segmentation of PLS path models by iterative reweighted regressions. In: 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users., 16 June 2015 - 19 June 2015, Seville, Spain .

PDF - Published Version
754kB

Event:	2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users., 16 June 2015 - 19 June 2015, Seville, Spain
Abstract:	Uncovering unobserved heterogeneity is a requirement to obtain valid results when using the structural equation modeling (SEM) method with empirical data. Conventional segmentation methods usually fail in SEM since they account for the observations but not the latent variables and their relationships in the structural model. This research introduces a new segmentation approach to variancebased SEM. The iterative reweighted regressions segmentation method for PLS (PLS-IRRS) effectively identifies segments in data sets. In comparison with existing alternatives, PLS-IRRS is multiple times faster while delivering the same quality of results. We believe that PLS-IRRS has the potential to become one of the primary choices to address the critical issue of unobserved heterogeneity in PLS-SEM.
Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Clustering, genetic algorithm, partial least squares, path modeling, PLS-IRRS, PLS-SEM, reweighted regressions, segmentation, structural equations modeling
Link to this item:	https://doi.org/10.3990/2.344
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Repository Staff Only: item control page