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Quantifying uncertainty in PLS-SEM-based mediation analyses

Author

Listed:
  • Marko Sarstedt

    (Ludwig-Maximilians-University Munich
    Babeș-Bolyai University)

  • Ovidiu-Ioan Moisescu

    (Babeș-Bolyai University)

Abstract

To identify potential mediating effects, researchers applying partial least squares structural equation modeling (PLS-SEM) typically contrast specific indirect and direct effects in a sequence of steps. Extending this standard procedure, we conceive mediation analysis as a type of model comparison, which facilitates quantifying the degree of the model effects’ uncertainty induced by the introduction of the mediator. By introducing a new dimension of quality assessment, the procedure offers a new means for deciding whether or not to introduce a mediator in a PLS path model, and improves the replicability of research results.

Suggested Citation

  • Marko Sarstedt & Ovidiu-Ioan Moisescu, 2024. "Quantifying uncertainty in PLS-SEM-based mediation analyses," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(1), pages 87-96, March.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:1:d:10.1057_s41270-023-00231-9
    DOI: 10.1057/s41270-023-00231-9
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