Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations
Texas A&M International University · Stevens Institute of Technology
Abstract
Variance-based structural equation modeling is extensively used in information systems research, and many related findings may have been distorted by hidden collinearity. This is a problem that may extend to multivariate analyses, in general, in the field of information systems as well as in many other fields. In multivariate analyses, collinearity is usually assessed as a predictor-predictor relationship phenomenon, where two or more predictors are checked for redundancy. This type of assessment addresses vertical, or “classic”, collinearity. However, another type of collinearity may also exist, here called “lateral” collinearity. It refers to predictor-criterion collinearity. Lateral collinearity problems…
Citation impact
- FWCI
- 28.74
- Percentile
- 100%
- References
- 76
Authors
2Topics & keywords
- Collinearity
- Structural equation modeling
- Multivariate statistics
- Context (archaeology)
- Variance (accounting)
- Variance inflation factor
- Redundancy (engineering)
- Computer science