%0 Journal Article
%T A New Perspective on Method Variance: A Measure
%A Christopher C. Rosen
%A Hettie A. Richardson
%A Larry J. Williams
%A Paul E. Spector
%A Russell E. Johnson
%J Journal of Management
%@ 1557-1211
%D 2019
%R 10.1177/0149206316687295
%X A widespread methodological concern in the organizational literature is the possibility that observed results are due to the influence of common-method variance or mono-method bias. This concern is based on a conception of method variance as being produced by the nature of the method itself, and therefore, variables assessed with the same method would share common-method variance that inflates observed correlations. In this paper, we argue for a more complex view of method variance that consists of multiple sources that affect each measured variable in a potentially unique way. Shared sources among measures (common-method variance) act to inflate correlations, whereas unshared sources (uncommon-method variance) act to attenuate correlations. Two empirical examples, one from a simulation study and the other from a single-source survey, are presented to illustrate the complex action of multiple sources of method variance. A five-step approach is suggested whereby a theory of the measure is generated for each measured variable that would inform strategies to control for method variance by assessing and modeling the actions of identified method variance sources
%K common-method variance
%K uncommon-method variance
%K method bias
%K psychometrics
%K construct validity
%U https://journals.sagepub.com/doi/full/10.1177/0149206316687295