Title

Common method bias in PLS-SEM: A full collinearity assessment approach

Document Type

Article

Publication Title

International Journal of e-Collaboration

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

First Page

1

Last Page

10

DOI

10.4018/ijec.2015100101

Publication Date

1-1-2015

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