• DOI:10.4018/ijec.2015100101
• Corpus ID: 5550005

Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach

@article{Kock2015CommonMB,
  title={Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach},
  author={Ned Kock},
  journal={Int. J. e Collab.},
  year={2015},
  volume={11},
  pages={1-10}
}

• N. Kock
• Published 1 October 2015
• Engineering
• Int. J. e Collab.

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 nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis.