Abstract
This paper adds to an often applied extension of Partial Least Squares (PLS) path modeling, namely the comparison of PLS estimates across subpopulations, also known as multi-group analysis. Existing PLS-based approaches to multi-group analysis have the shortcoming that they rely on distributional assumptions. This paper develops a non-parametric PLS-based approach to multi-group analysis: PLS-MGA. Both the existing approaches and the new approach are applied to a marketing example of customer switching behavior in a liberalized electricity market. This example provides first evidence of favorable operation characteristics of PLS-MGA.
| Original language | English |
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| Title of host publication | Challenges at the Interface of Data Analysis, Computer Science, and Optimization |
| Subtitle of host publication | Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010 |
| Editors | Wolfgang A. Gaul, Andreas Geyer-Schulz, Lars Schmidt-Thieme, Jonas Kunze |
| Place of Publication | Berlin, Heidelberg |
| Publisher | Springer |
| Pages | 495-501 |
| ISBN (Electronic) | 978-3-642-24466-7 |
| ISBN (Print) | 9783642244650 |
| DOIs | |
| Publication status | Published - 2012 |
| Externally published | Yes |
| Event | 34th Annual Conference of the Gesellschaft für Klassifikation e.V. 2010 - Karlsruhe, Germany Duration: 21 Jul 2014 → 23 Jul 2014 Conference number: 34 |
Publication series
| Name | Studies in Classification, Data Analysis, and Knowledge Organization |
|---|---|
| Publisher | Springer |
Conference
| Conference | 34th Annual Conference of the Gesellschaft für Klassifikation e.V. 2010 |
|---|---|
| Country/Territory | Germany |
| City | Karlsruhe |
| Period | 21/07/14 → 23/07/14 |
Keywords
- Partial least squares (PLS)
- Customer satisfaction
- Switching cost
- Bootstrap estimate
- Partial least squares path modeling