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Ponencia
Segmentation of PLS-Path Models by Iterative Reweighted Regressions
(University of Twente, 2015)
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 ...
Ponencia
Predictive model selection in partial least squares path modeling (PLS-PM)
(University of Twente, 2015)
Predictive model selection metrics are used to select models with the highest out-of-sample predictive power among a set of models. R2 and related metrics, which are heavily used in partial least squares path modeling, ...