Prelude #1 

Recent advances in predictive model assessment 

Check the flyer for details on the event's contents and registration details:

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Recent research in partial least squares structural equation modeling (PLS-SEM) underlines the method’s efficacy for causal-predictive analyses (Hair et al., 2019), which aim at testing the predictive power of a model, grounded in well-developed theory (e.g., Chin et al. 2020). Catering this aim, researchers have proposed new methods that facilitate testing a model’s and comparing different models in terms of their predictive power. 

This workshop presents recent advances in this field by discussing PLSpredict, a holdout sample-based procedure, which executes k-fold cross-validation in PLS-SEM (Shmueli et al. 2016; Shmueli et al., 2019), the cross-validated predictive ability test (CVPAT; Liengaard et al. 2020) and model selection criteria (Danks et al. 2020; Sharma et al. 2020).


Wednesday, October 28 2020, 3.00pm to 5.30pm CET (Berlin time zone)

We run this event via Zoom


Please register before October 26, 2020. Please send an email with the subject "Prelude #1 Registration" (it is required that you use this subject to automatically process your registration) with your name, affiliation (if any) and country to [email protected].  


Christian M. Ringle 

Hamburg University of Technology (TUHH), Germany and 
University of Waikato, New Zealand 

Marko Sarstedt 

Otto-von-Guericke University Magdeburg, Germany and 
Monash University Malaysia, Malaysia 



Cooperation partner