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Quantifying uncertainty in PLS-SEM-based mediation analyses
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DOI：10.1057/s41270-023-00231-9.png)
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Abstract
En 中文
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
Journal
IF:
3.5
Papers:
385
Citations:
1.2K