Crawford, Jeff

Sharma, Rajeev

Yetton, Phil

English

AIS Electronic Library (AISeL)

Association for Information SystemsAIS Electronic Library (AISeL)ICIS 2007 Proceedings International Conference on Information Systems(ICIS)December 2007Common Methods Bias: Reports of Its Death areGreatly ExaggeratedPhil YettonAustralian Graduate School of ManagementRajeev SharmaUniversity of OklahomaJeff CrawfordUniversity of TulsaFollow this and additional works at: http://aisel.aisnet.org/icis2007This material is brought to you by the International Conference on Information Systems (ICIS) at AIS Electronic Library (AISeL). It has been acceptedfor inclusion in ICIS 2007 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contactelibrary@aisnet.org.Recommended CitationYetton, Phil; Sharma, Rajeev; and Crawford, Jeff, "Common Methods Bias: Reports of Its Death are Greatly Exaggerated" (2007). ICIS2007 Proceedings. 58.http://aisel.aisnet.org/icis2007/58Twenty Eighth International Conference on Information Systems, Montreal 2007 1COMMON METHODS BIAS: REPORTS OF ITS DEATH ARE GREATLY EXAGGERATED Rajeev Sharma Price College of Business University of Oklahoma Norman, OK, U.S.A. rajeevsharma@ou.eduPhilip Yetton Australian Graduate School of Management University of New South Wales Sydney, NSW, Australia phily@agsm.edu.auJeff Crawford College of Business Administration University of Tulsa Tulsa, OK, U.S.A. jeff-crawford@utulsa.eduAbstract  The marker-variable technique (Lindell and Whitney, 2001) has recently been proposed to estimate the magnitude of the bias in the findings of mono-method studies. Applying this technique, Malhotra et al. (2006) conclude that the findings of IS research are not susceptible to validity threats arising from common methods bias. This study investigates the generalizability of that finding and also the validity of the marker-variable technique. We apply the marker-variable technique to estimate the magnitude of common methods bias in the perceived usefulness-use relationship. Based on a sample of 54 studies identified through a rigorous sampling procedure, this study finds that common methods bias is a major potential validity threat to the findings of IS research. This study also finds that estimates of bias are sensitive to the criteria employed to select the marker variable. The findings raise concerns for the validity of the marker-variable technique. Keywords:  Common methods bias, marker-variable technique, perceived usefulness, use   

Common Methods Bias: Reports of Its Death are Greatly Exaggerated

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