Prelude # 3

  • Date/time:
    Wednesday, Oct 27, 2021, 3.00pm to 5.00pm CET (Berlin time zone); via Zoom 
  • Title:
    Performing state-of-the-art mediation, moderation, and conditional mediation analysis in partial least squares structural equation modeling (PLS-SEM): Introduction, Recommendations, and Examples
  • Instructors:
    Christian Nitzl (University of the German Military Forces Munich),  José L. Roldán (Universidad de Sevilla), Gabriel A. Cepeda Carrión (Universidad de Sevilla) and 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.

TIME & PLACE 

Wednesday, Oct 27, 2021, 3.00pm to 5.00pm CET (Berlin time zone); via Zoom

REGISTRATION

Please register before October 2, 2021.


Christian Nitzl

University of the German Military Forces Munich

Center for Intelligence and Security Studies (CISS)

https://www.unibw.de/ciss-en/team-munich/christian-nitzl

 

José L. Roldán 

Universidad de Sevilla (Spain) 

Department of Business Administration and Marketing 

https://goo.gl/PPY32K 

Gabriel A. Cepeda Carrión

Universidad de Sevilla (Spain)

Institute of Economy and Business

Management and Marketing Department

https://investigacion.us.es/sisius/sis_showpub.php?idpers=4921

Cheah Jun Hwa (Jacky)

School of Business and Economics

Universiti Putra Malaysia

https://www.researchgate.net/profile/Cheah_Hwa

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.