Evaluating the Predictive Performance of Composites in PLS Path Modeling
5 Pages Posted: 19 Oct 2017 Last revised: 19 Nov 2018
Date Written: October 18, 2017
Abstract
Efforts to evaluate predictive performance in Partial Least Squares (PLS) path modeling are making major headway, but have largely focused on the prediction of measurement items. There is still a need to clarify what prediction of constructs might entail. We examine the challenges of measuring predictive power and validity at the construct level. We then propose a technique for overcoming these challenges and provide suitable predictive metrics.
Keywords: Predictive Validity, Composites, Partial Least Squares (PLS) path modeling, Structural Equation Modeling (SEM)
Suggested Citation: Suggested Citation
Danks, Nicholas and Ray, Soumya and Shmueli, Galit, Evaluating the Predictive Performance of Composites in PLS Path Modeling (October 18, 2017). Available at SSRN: https://ssrn.com/abstract=3055222 or http://dx.doi.org/10.2139/ssrn.3055222
Do you have negative results from your research you’d like to share?
Feedback
Feedback to SSRN
If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.