I googled to conduct common method bias (CMB) tests in R but there is no information as such. Maximum information (including videos) is related to conducting CMB tests (like Harman's single factor) using SPSS or using AMOS (like common latent factor technique). All the constructs in my model are latent constructs and I am using covariance-based SEM techniques to analyze my model using Lavaan in R.
Now I want to conduct common method bias tests using R. Any help in this regard (e.g. sample code etc.) is welcome.
Hi Harmanjit,
neither the Harman's one factor test nor the additional-general-factor model work. The last thing I heard was focused on the marker method. Again, highly disputed at least, there were some recent papers defending the approach:
Williams, L. J., & McGonagle, A. K. (2016). Four research designs and a comprehensive analysis strategy for investigating common method variance with self-report measures using latent variables. Journal of Business and Psychology, 31(3), 339-359. doi:10.1007/s10869-015-9422-9
Williams, L. J., Hartman, N., & Cavazotte, F. (2010). Method variance and marker variables: A review and comprehensive CFA marker technique. Organizational Research Methods, 13(3), 477-514. doi:10.1177/1094428110366036
Williams, L. J., Hartman, N., & Cavazotte, F. (2010). Method variance and marker variables: A review and comprehensive CFA marker technique. Organizational Research Methods, 13(3), 477-514. doi:10.1177/1094428110366036
HTH
Holger
P.S. And I say this as a reviewer: NEVER use the Podsakoff paper to defend Harman. The paper just reports this as part of its review but clearly recommends not to use it.
In addition to the above you might want to look at some entries of a Google search on your question but adding R to the query. There are quite a few useful entries in the search. Involving R software. David Booth
For some reason I could not add the attachment above so here it is.. check some of these entries. David Booth
Dear David,
I am totally with you but actually only the first considers common method bias ;) as far as i can see :)
Best,
Holger
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