Rejoinder : fractures in the edifice of PLS
Rönkkö, M., Lee, N., Evermann, J., McIntosh, C., & Antonakis, J. (2023). Rejoinder : fractures in the edifice of PLS. European Journal of Marketing, 57(6), 1626-1640. https://doi.org/10.1108/ejm-07-2022-0508
Julkaistu sarjassa
European Journal of MarketingPäivämäärä
2023Tekijänoikeudet
© Mikko Rönkkö, Nick Lee, Joerg Evermann, Cameron McIntosh and John Antonakis.
Purpose
This study aims to provide a response to the commentary by Yuan on the paper “Marketing or Methodology” in this issue of EJM.
Design/methodology/approach
Conceptual argument and statistical discussion.
Findings
The authors find that some of Yuan’s arguments are incorrect, or unclear. Further, rather than contradicting the authors’ conclusions, the material provided by Yuan in his commentary actually provides additional reasons to avoid partial least squares (PLS) in marketing research. As such, Yuan’s commentary is best understood as additional evidence speaking against the use of PLS in real-world research.
Research limitations/implications
This rejoinder, coupled with Yuan’s comment, continues to support the strong implication that researchers should avoid using PLS in marketing and related research.
Practical implications
Marketing researchers should avoid using PLS in their work.
Originality/value
This rejoinder supports the earlier conclusions of “Marketing or Methodology,” with additional argumentation and evidence.
...
Julkaisija
EmeraldISSN Hae Julkaisufoorumista
0309-0566Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/183176271
Metadata
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Samankaltainen aineisto
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Marketing or methodology? : Exposing the fallacies of PLS with simple demonstrations
Rönkkö, Mikko; Lee, Nick; Evermann, Joerg; McIntosh, Cameron; Antonakis, John (Emerald, 2023)Purpose Over the past 20 years, partial least squares (PLS) has become a popular method in marketing research. At the same time, several methodological studies have demonstrated problems with the technique but have had ... -
Premature conclusions about the signal‐to‐noise ratio in structural equation modeling research : A commentary on Yuan and Fang (2023)
Schuberth, Florian; Schamberger, Tamara; Rönkkö, Mikko; Liu, Yide; Henseler, Jörg (John Wiley & Sons, 2023)In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM ... -
Rejoinder to Comments on Recent Developments in PLS
Evermann, Jöerg; Rönkkö, Mikko (Association for Information Systems, 2023)When we were first invited to write an essay on the use of PLS for CAIS, we wanted to focus on recent developments to help applied IS researchers, and the CAIS community of authors, reviewers, and editors make use of the ... -
Recent Developments in PLS
Evermann, Jöerg; Rönkkö, Mikko (Association for Information Systems, 2023)Partial least squares (PLS) path modeling is a widely used method in the information systems (IS) discipline for estimating linear structural equation models. At the same time, researchers have debated its relative merits ... -
Too Small to Succeed : Small Samples and the p-Value Problem
Aguirre-Urreta, Miguel I.; Rönkkö, Mikko; McIntosh, Cameron N. (ACM, 2024)Determining an appropriate sample size is a critical planning decision in quantitative empirical research. In recent years, there has been a growing concern that researchers have excessively focused on statistical significance ...
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