TY  - JOUR
AB  - Purpose Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares (PLS) path modeling. Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use outdated methods to test mediating effects in PLS, which can lead to erroneous results. One reason for the use of outdated methods or even the lack of their use altogether is that no systematic tutorials on PLS exist that draw on the newest statistical findings. The paper aims to discuss these issues.Design/methodology/approach This study illustrates the state-of-the-art use of mediation analysis in the context of PLS-structural equation modeling (SEM).Findings This study facilitates the adoption of modern procedures in PLS-SEM by challenging the conventional approach to mediation analysis and providing more accurate alternatives. In addition, the authors propose a decision tree and classification of mediation effects.Originality/value The recommended approach offers a wide range of testing options (e.g. multiple mediators) that go beyond simple mediation analysis alternatives, helping researchers discuss their studies in a more accurate way.
VL  - 116
IS  - 9
SN  - 0263-5577
DO  - 10.1108/IMDS-07-2015-0302
UR  - https://doi.org/10.1108/IMDS-07-2015-0302
AU  - Nitzl Christian
AU  - Roldan Jose L.
AU  - Cepeda Gabriel
PY  - 2016
Y1  - 2016/01/01
TI  - Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models
T2  - Industrial Management & Data Systems
PB  - Emerald Group Publishing Limited
SP  - 1849
EP  - 1864
Y2  - 2024/04/19
ER  -