000			02009nam a2200253 4500
999			_c52446 _d52446
003			OSt
005			20190820121447.0
008			190820b ||||| |||| 00| 0 eng d
100			_aSpector, Paul E. _915402
245			_aA New Perspective on Method Variance: A Measure-Centric Approach
300			_a855-880 p.
520			_aA 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.
653			_aCommon-Method Variance
653			_aUncommon-Method Variance
653			_aMethod Bias
653			_aPsychometrics
653			_aConstruct Validity
700			_aRosen, Christopher C. _934233
700			_aRichardson, Hettie A. _934234
700			_aWilliams, Larry J. _934235
700			_aJohnson, Russell E. _934236
773	0		_029017 _974521 _aDEBORAH E. RUPP _dWEST LAFAYETTE SAGE PUBLICATION 2012 _o55510280 _tJOURNAL OF MANAGEMENT _x 0149-2063
942			_2ddc _cJA-ARTICLE