Prelude # 4

CONTENTS 

Methodological research on Partial Least Squares Structural Equation Models (PLS-SEM) is increasingly focused on the ability of the method to evaluate out-of-sample predictive power of models (Legate et al. 2021; Liengaard et al. 2020; Shmueli et al. 2019). Such developments are beneficial for establishing validity, practical utility and generalizability of models. However, further improvement is still needed to strengthen PLS as a causal-predictive method. 

This workshop will contain three main parts: 1) a general introduction to prediction and predictive analyses in PLS-SEM (Hair et al., 2021). 2) Guidelines to estimating and evaluating overfit at the construct level and identifying possible sources of overfitting (Danks et al., 2021). 3) A set of out-of-sample prediction tests that compares a given PLS-SEM model to either a naïve benchmark model or linear benchmark model (Sharma et al. 2020).

On completion of this workshop, you obtain a general understanding of predictive evaluations in PLS-SEM and will be on par with some of the newest techniques within this area. 

TIME & PLACE 

Wednesday, April 27, 2022, 3.00pm to 5.00pm CET (Berlin time zone); via Zoom