Evermann and Rönkkö (2023) have provided an excellent overview of recent findings relating to the use of Partial Least Squares (PLS). Their overall message is that if researchers decide to use PLS, they need to ensure that they follow best practices to reduce the possibility of obtaining misleading or erroneous results. We generally agree with many of the specifics of their assessment, but go further to recommend against the use of PLS. In particular, we demonstrate exactly how PLS introduces biases, arguing that the algorithm violates accepted norms for statistical inference. Our final recommendation is for the Editors-in-Chief of top IS research journals to convene a task force to assess the advisability of continuing to accept articles where PLS is used for publication in IS journals.
Goodhue, D. L., Lewis, W., & Thompson, R. (2023). Comments on Evermann and Rönkkö (2023): Recent Developments in PLS. Communications of the Association for Information Systems, 52, 751-755. https://doi.org/10.17705/1CAIS.05235
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