Visit the PLS2022 conference!

Prelude 1: Recent advances in predictive model assessment

Prelude 1: Recent developments in predictive model assessment

We are happy to share the first prelude video to the 2022 International Conference on PLS-SEM with you. In this video, Christian Ringle and Marko Sarstedt highlight the most recent developments in predictive model assessment in PLS-SEM. Enjoy!

Gepostet von 2022 international conference on pls-sem am Mittwoch, 28. Oktober 2020

Length: 2:00:17

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 (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).

Instructors

  • 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

Time and place

Wednesday, October 28 2020, 3.00pm to 5.30pm CET (Berlin time zone); online via Zoom

Prelude 2: The combined use of PLS-SEM and NCA

PLS2022 Prelude 2: NCA and PLS-SEM

Enjoy the video of Prelude 2 on "The combined use of partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA)" by Nicole Richter and Sven Hauff while getting ready for the PLS2022 conference (https://www.pls2022.org/). #pls2022 #plssem #pls #nca #research #conference

Gepostet von 2022 international conference on pls-sem am Mittwoch, 5. Mai 2021

Length: 2:20:02

Contents

Necessity thinking is relevant in many fields of research reflected in formulations such as "A is a necessary condition for B", "B requires A" and alike. Necessary condition analysis (NCA) offers a tool to identify these necessary conditions, and therewith can complement a traditional partial least squares structural equation modeling (PLS-SEM) model by identifying the must have factors relevant for an outcome to materialize.

This workshop will provide an introduction to NCA: We will focus on the foundations of the method and its application in research. Furthermore, we will introduce the combined use of PLS-SEM with NCA including relevant guidelines, an illustrative example, and insights into sources to practically apply both methods.

Instructors

Time and place

Wednesday, May 5, 2021, 3.00pm to 5.30pm CET (Berlin time zone); online via Zoom