PRELUDE #1 

Recent advances in predictive model assessment 

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

CONTENTS
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 (Shumeli et al. 2016; Shumeli 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).

TIME & PLACE

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

We run this event via Zoom

REGISTRATION

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 info@pls2022.org.  

Instructors

Christian M. Ringle 

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

https://www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html 

Marko Sarstedt 

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

https://www.marketing.ovgu.de/marketing/en/Team/Head+of+the+Chair-p-966.html 

References

SPONSORS

Cooperation partner