Quantifying uncertainty in PLS-SEM-based mediation analyses

Marko Sarstedt () and Ovidiu-Ioan Moisescu
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Marko Sarstedt: Ludwig-Maximilians-University Munich
Ovidiu-Ioan Moisescu: Babeș-Bolyai University

Journal of Marketing Analytics, 2024, vol. 12, issue 1, No 6, 87-96

Abstract: 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.

Keywords: Partial least squares structural equation modeling; PLS-SEM; Mediation; Uncertainty; Akaike weights (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1057/s41270-023-00231-9

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