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
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).
- 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 #conferenceGepostet von 2022 international conference on pls-sem am Mittwoch, 5. Mai 2021
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.
- Nicole Franziska Richter, University of Southern Denmark, Denmark
- Sven Hauff, Helmut Schmidt University, Germany
Time and place
Wednesday, May 5, 2021, 3.00pm to 5.30pm CET (Berlin time zone); online via Zoom