Quantifying uncertainty in PLS-SEM-based mediation analyses

doi:10.1057/s41270-023-00231-9

2023-06-05

Marko Sarstedt *

Ovidiu Ioan Moisescu

DOI：10.1057/s41270-023-00231-9

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摘要

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.

Keyword:

Partial least squares structural equation modeling

PLS-SEM

Mediation

Uncertainty

Akaike weights

期刊

Journal of Marketing Analytics

IF:

3.5

论文数:

389

被引数:

1.2K

机构

babes bolyai university from cluj

学者数:

5.4K

论文数: 4.3K

被引数: 0

University of Munich

学者数:

5.7W

论文数: 4.2W

被引数: 68

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