Partial Least Squares Structural Equation Modeling (PLS-SEM) in business research: A simple guide for novice researchers
The University of Dodoma · National Institute of Transport
Abstract
This review provides a comprehensive, step-by-step guide to the application of partial least squares structural equation modeling (PLS-SEM) for novice researchers. This is a conceptual and literature-based review that focuses on best practices and PLS-SEM literature. It highlights the rationale for using PLS-SEM, sample size, software tools, and essential metrics in PLS-SEM analysis. Drawing on best practices and recent literature, the review offers a framework for conducting and reporting PLS-SEM analysis. The review presents essential such as outer loadings, Cronbach’s alpha coefficients, average variance extracted (AVE), composite reliability, cross-loadings, Heterotrait-Monotrait ratio of correlations…
Citation impact
- FWCI
- 107.62
- Percentile
- 100%
- References
- 53
Authors
2Topics & keywords
- Structural equation modeling
- CLARITY
- Variance (accounting)
- Partial least squares regression
- Rigour
- Sample (material)
- Software
- Variance inflation factor