articleInternational Journal of Multivariate Data AnalysisJan 1, 2017Closed access

PLS-SEM or CB-SEM: updated guidelines on which method to use

University of South Alabama · Mitchell College · +4 more institutions

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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…

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Topics & keywords

Keywords
  • Structural equation modeling
  • Partial least squares regression
  • Goodness of fit
  • Covariance
  • Statistics
  • Variance (accounting)
  • Mathematics
  • Latent variable
UN Sustainable Development Goals
  • Reduced inequalities
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