articleInternational Journal of e-CollaborationJul 1, 2015Closed access

Common Method Bias in PLS-SEM

Texas A&M International University

Indexed incrossref

Abstract

The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author's discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that…

Citation impact

8,093
total citations
FWCI
95.41
Percentile
100%
References
22
Citations per year

Authors

1

Topics & keywords

Keywords
  • Collinearity
  • Computer science
  • Identification (biology)
  • Context (archaeology)
  • Monte Carlo method
  • Statistics
  • Partial least squares regression
  • Data mining
UN Sustainable Development Goals
  • Reduced inequalities
No related works found for this paper.