Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses!
Monash University Malaysia · Otto-von-Guericke-Universität Magdeburg · +5 more institutions
Abstract
Mediation and conditional process analyses have become popular approaches for examining the mechanisms by which effects operate and the factors that influence them. To estimate mediation models, researchers often augment their structural equation modeling (SEM) analyses with additional regression analyses using the PROCESS macro. This duality is surprising considering that research has long acknowledged the limitations of regression analyses when estimating models with latent variables. In this article, we argue that much of the confusion regarding SEM’s efficacy for mediation analyses results from a singular focus on factor-based methods, and there is no need for a tandem use of SEM and PROCESS. Specifically,…
Citation impact
- FWCI
- 151.95
- Percentile
- 100%
- References
- 60
Authors
5- MSMarko SarstedtCorresponding
Monash University Malaysia, Otto-von-Guericke-Universität Magdeburg
- JFJoseph F. Hair
University of South Alabama
- CNChristian Nitzl
Universität der Bundeswehr München
- CMChristian M. Ringle
Universität Hamburg, University of Waikato, Hamburg University of Technology
- MCMatt C. Howard
University of South Alabama
Topics & keywords
- Structural equation modeling
- Mediation
- Partial least squares regression
- Latent variable
- Process (computing)
- Econometrics
- Regression analysis
- Computer science