Quantifying uncertainty in PLS-SEM-based mediation analyses
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,...
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Published in | Journal of marketing analytics Vol. 12; no. 1; pp. 87 - 96 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Palgrave Macmillan UK
01.03.2024
Palgrave Macmillan |
Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2050-3318 2050-3326 |
DOI: | 10.1057/s41270-023-00231-9 |