I am currently trying to test my dataset in PLS for common method variance (CMV) (possible bias in the data because both independent as dependent variables were collected at the sime time from the same source). Podsakoff 2003 gives several excellent methodological suggestions how one should deal with CMV in research.

I found an interesting article on the internet in which PLS is used to test for CMV (I also found similar published articles).

http://www.hfncenter.org/cms/book/export/html/243

However, this article contains the following CMS tess which I do not understand how to perform in PLS:

1) "Second, a partial correlation method was used (Podsakoff and Organ 1986).

**The highest factor from the principal component factor analysis was added to the PLS model**as a control variable on all dependent variables. According to Podsakoff and Organ, this factor is assumed to contain the best approximation of the common method variance if is a general factor on which all variables load (p. 536). This factor did not produce a significant change in variance explained in any of the three dependent variables, again suggesting no substantial common method bias."

How does one add a factor from Principal component analysis to PLS? I know how to conduct a principal component analysis in SPSS, but I don't understand how you add the highest factor into PLS??

Thank you very much for your feedback in advance.

Kind regards,

Maurice

literature:

P. Podsakoff, S. MacKenzie, J. Lee, 2003, "Common Method Biases in Behavioral Research: A Critical Review of the

Literature and Recommended Remedies", Journal of Applied Psychology, Vol. 88, No. 5, 879–903