PLS-SEM or CB-SEM: updated guidelines on which method to use
University of South Alabama · Mitchell College · +4 more institutions
Abstract
Numerous statistical methods are available for social researchers. Therefore, knowing the appropriate technique can be a challenge. For example, when considering structural equation modelling (SEM), selecting between covariance-based (CB-SEM) and variance-based partial least squares (PLS-SEM) can be challenging. This paper applies the same theoretical measurement and structural models and dataset to conduct a direct comparison. The findings reveal that when using CB-SEM, many indicators are removed to achieve acceptable goodness-of-fit, when compared to PLS-SEM. Also, composite reliability and convergent validity were typically higher using PLS-SEM, but other metrics such as discriminant validity and beta…
Citation impact
- FWCI
- 134.93
- Percentile
- 100%
- References
- 0
Authors
4Topics & keywords
- Structural equation modeling
- Partial least squares regression
- Goodness of fit
- Covariance
- Statistics
- Variance (accounting)
- Mathematics
- Latent variable
- Reduced inequalities