Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations
Universiti Putra Malaysia · University of East Anglia · +2 more institutions
Abstract
Multigroup analysis (MGA) in partial least squares structural equation modeling (PLS-SEM) has grown considerably in the past few years in many different research fields, particularly in the business area. However, a close examination of MGA in PLS-SEM articles revealed much less research that compared more than two groups. Furthermore, research applying MGA in PLS-SEM with more than two groups has several constraints. For instance, most researchers need clarification about using either the omnibus test of group differences (OTG) or non-parametric distance-based tests (NDT) for an overall difference across the groups. Moreover, they do not handle family-wise error when comparing more than two groups, nor do…
Citation impact
- FWCI
- 124.44
- Percentile
- 100%
- References
- 75
Authors
3Topics & keywords
- Structural equation modeling
- Partial least squares regression
- Parametric statistics
- Psychology
- Statistics
- Mathematics
- Econometrics
- Computer science