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PLS2022 Prelude #3: Mediation, moderation, and conditional mediation analysis in PLS-SEM

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Presenters
- Christian Nitzl (University of the German Military Forces Munich)
- José L. Roldán (Universidad de Sevilla)-
- Gabriel A. Cepeda Carrión (Universidad de Sevilla)
- Cheah Jun Hwa (Jacky) (Universiti Putra Malaysia)

Contents

The analysis of mediation processes is a core topic to answer many research questions. It looks beyond the simple consideration of direct effects which goes often hand in hand with the oversimplification of reality. A mediation analysis informs a researcher and practician about a process improve or hinder the interrelationship between an independent and dependent construct as an intervening construct. Whereas, a moderator analysis is used to investigate whether the relationship between two constructs depends on the value of a third construct. Conditional mediation analysis integrates mediation and moderation analyses to examine how mediation effects vary as a function of context, boundaries, or individual differences. This workshop introduces a state-of-the art approach for performing mediation, moderation, and conditional (moderated) mediation analysis in PLS-SEM. After a general introduction about mediation and moderation analyses, the workshop gives guidelines to perform a mediation and moderation analysis in PLS-SEM. Finally, the most advanced issue which combines moderation and mediation in a conditional mediation analysis is illustrated.

References

Becker, J.-M., Ringle, C. M., & Sarstedt, M. (2018). Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment. Journal of Applied Structural Equation Modeling, 2(June), 1–21.

Carrión, G. C., Nitzl, C., & Roldán, J. L. (2017). Mediation analyses in partial least squares structural equation modeling: Guidelines and empirical examples. In H. Latan & R. Noonan (Eds.), Partial Least Squares Path Modeling (pp. 173-195). Heidelberg: Springer.

Henseler, J., & Fassott, G. (2010). Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures. In V. Esposito Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of Partial Least Squares (pp. 713–735). Berlin, Heidelberg: Springer Berlin Heidelberg.

Memon, M., Cheah, J., Ramayah, T., Ting, H., & Chuah, F. (2018). Mediation analysis issues and recommendations. Journal of Applied Structural Equation Modeling, 2(1), i-ix.

Memon, M. A., Cheah, J.-H., Ramayah, T., Ting, H., Chuah, F., & Cham, T. H. (2019). Moderation analysis: Issues and guidelines. Journal of Applied Structural Equation Modeling, 3(1), i-ix.

Nitzl, C., Roldán, J. L., & Cepeda, G. (2016). Mediation analyses in partial least squares structural equation modeling: Helping researchers to discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849-1864.

Sarstedt, M., Hair, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C. (2020). Beyond a tandem analysis of SEM and PROCESS: Use PLS-SEM for mediation analyses! International Journal of Market Research, 62(2), 288-299.
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