DOI: 10.3724/SP.J.1042.2019.00587

Advances in Psychological Science (心理科学进展) 2019/27:4 PP.587-599

Is common method variance a “deadly plague”? Unsolved contention, fresh insights, and practical recommendations

Common method variance (CMV) is a form of systematic variance attributed to similarities of measurement method facets between constructs. It has potential to distort observational correlations and thus elicits common method bias (CMB). Although it has been noted repeatedly in social science research for almost 60 years, its threat to research validity hasn't been overwhelmingly acknowledged and remains to be scrutinized. Extant empirical evidence has demonstrated the ubiquity of CMV and identified distinct factors triggering CMB, including data source, time interval, and questionnaire design. As a result, cross-sectional self-reporting surveys are particularly subjected to extensive criticism. Nonetheless, some researchers contend that measurement error and uncommon method variance can offset or alleviate the underlying detriment so that pervasive anxiety regarding CMV is exaggerated and unjustified. The measure-centric approach underlines that CMV originates from the interplay between methods and constructs, and the two-dimensional CMV risk evaluation procedure should be conducted with simultaneous consideration of method and construct. From our view, it is preferable to cultivate a balanced and impartial attitude towards CMV, embrace its existence, discard the prejudice against self-reporting, and, above all, take proactive countermeasures based on the optimization of research design.

Key words:common method variance,common method bias,self-reporting,research design,validity

ReleaseDate:2019-04-26 01:27:53

陈春花, 苏涛, 王杏珊. (2016). 中国情境下变革型领导与绩效关系的Meta分析. 管理学报, 13(8), 1174-1183.

顾红磊, 温忠麟. (2017). 多维测验分数的报告与解释:基于双因子模型的视角. 心理发展与教育, 33(4), 504-512.

刘洋, 谢丽. (2017). 中国管理研究中问卷调查法的取样与测量合适性:评估与建议. 电子科技大学学报(社科版), 19(2), 24-31.

吕宛蓁, 萧嘉惠, 许振明, 曹校章, 王学中. (2012). 台湾体育运动学术研究的共同方法变异. 大专体育学刊(台), 14(4), 419-427.

彭台光, 高月慈, 林钲棽. (2006). 管理研究中的共同方法变异:问题本质、影响、测试和补救. 管理学报(台), 23(1), 77-98.

苏中兴, 段佳利. (2015). 同源主观数据是否膨胀了变量间的相关性——以战略人力资源管理研究为例. 武汉大学学报(哲学社会科学版), 68(6), 83-92.

温忠麟. (2017). 实证研究中的因果推理与分析. 心理科学, 40(1), 200-208.

温忠麟, 黄彬彬, 汤丹丹. (2018). 问卷数据建模前传. 心理科学, 41(1), 204-210.

萧佳纯, 涂志贤. (2012). 教师创意教学衡量中共同方法变异问题之探讨. 测验学刊(台), 59(4), 609-639.

熊红星, 张璟, 叶宝娟, 郑雪, 孙配贞. (2012). 共同方法变异的影响及其统计控制途径的模型分析. 心理科学进展, 20(5), 757-769.

熊红星, 张璟, 郑雪. (2013). 方法影响结果? 方法变异的本质、影响及控制. 心理学探新, 33(3), 195-199.

叶日武. (2015). 共同方法变异:统计对策之文献回顾与实证例释. 顾客满意学刊(台), 11(1), 105-132.

叶日武, 林荣春. (2014). 共同方法变异:古典测量理论下的检测与控制. 顾客满意学刊(台), 10(1), 65-92.

张春雨, 韦嘉, 赵清清, 张进辅. (2015). 正负性表述的方法效应:以核心自我评价量表的结构为例. 心理学探新, 35(1), 78-83.

郑晓明, 刘鑫. (2016). 互动公平对员工幸福感的影响:心理授权的中介作用与权力距离的调节作用. 心理学报, 48(6), 693-709.

周浩, 龙立荣. (2004). 共同方法偏差的统计检验与控制方法. 心理科学进展, 12(6), 942-950.

朱海腾. (2018-06-19). 共同方法变异问题的多维审视. 中国社会科学报, p.03.

Andersen, L. B., Heinesen, E., & Pedersen, L. H. (2016). Individual performance:From common source bias to institutionalized assessment. Journal of Public Administration Research and Theory, 26(1), 63-78.

Barraclough, P., af Wåhlberg, A., Freeman, J., Davey, J., & Watson, B. (2014). Real or imagined? A study exploring the existence of common method variance effects in road safety research. Paper presented at the 5th International Conference on Applied Human Factors and Ergonomics, Krakow, Poland.

Batista-Foguet, J. M., Revilla, M., Saris, W. E., Boyatzis, R., & Serlavós, R. (2014). Reassessing the effect of survey characteristics on common method bias in emotional and social intelligence competencies assessment. Structural Equation Modeling, 21(4), 596-607.

Brannick, M. T., Chan, D., Conway, J. M., Lance, C. E., & Spector, P. E. (2010). What is method variance and how can we cope with it? A panel discussion. Organizational Research Methods, 13(3), 407-420.

Carter, M. Z., Mossholder, K. W., Field, H. S., & Armenakis, A. A. (2014). Transformational leadership, interactional justice, and organizational citizenship behavior:The effects of racial and gender dissimilarity between supervisors and subordinates. Group & Organization Management, 39(6), 691-719.

Chang, S.-J., van Witteloostuijn, A., & Eden, L. (2010). From the editors:Common method variance in international business research. Journal of International Business Studies, 41(2), 178-184.

Conway, J. M., & Lance, C. E. (2010). What reviewers should expect from authors regarding common method bias in organizational research. Journal of Business & Psychology, 25(3), 325-334.

Cortina, J. M., Aguinis, H., & Deshon, R. P. (2017). Twilight of dawn or of evening? A century of research methods in the Journal of Applied Psychology. Journal of Applied Psychology, 102(3), 274-290.

Craighead, C. W., Ketchen, D. J., Dunn, K. S., & Hult, G. T. M. (2011). Addressing common method variance:Guidelines for survey research on information technology, operations, and supply chain management. IEEE Transactions on Engineering Management, 58(3), 578-588.

Doty, D. H., & Glick, W. H. (1998). Common methods bias:Does common methods variance really bias results? Organizational Research Methods, 1(4), 374-406.

Edwards, J. R. (2008). To prosper, organizational psychology should … overcome methodological barriers to progress. Journal of Organizational Behavior, 29(4), 469-491.

Favero, N., & Bullock, J. B. (2015). How (not) to solve the problem:An evaluation of scholarly responses to common source bias. Journal of Public Administration Research and Theory, 25(1), 285-308.

Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016). Common methods variance detection in business research. Journal of Business Research, 69(8), 3192-3198.

George, B., & Pandey, S. K. (2017). We know the Yin-but where is the Yang? Toward a balanced approach on common source bias in public administration scholarship. Review of Public Personnel Administration, 37(2), 245-270.

Johnson, R. E., Rosen, C. C., & Djurdjevic, E. (2011). Assessing the impact of common method variance on higher order multidimensional constructs. Journal of Applied Psychology, 96(4), 744-761.

Kammeyer-Mueller, J., Steel, P. D. G., & Rubenstein, A. (2010). The other side of method bias:The perils of distinct source research designs. Multivariate Behavioral Research, 45(2), 294-321.

Kline, T. J. B., Sulsky, L. M., & Rever-Moriyama, S. D. (2000). Common method variance and specification errors:A practical approach to detection. Journal of Psychology, 134(4), 401-421.

Lai, X., Li, F., & Leung, K. (2013). A Monte Carlo study of the effects of common method variance on significance testing and parameter bias in hierarchical linear modeling. Organizational Research Methods, 16(2), 243-269.

Lance, C. E., Baranik, L. E., Lau, A. R., & Scharlau, E. A. (2009). If it ain't trait it must be method:(Mis)application of the multitrait-multimethod design in organizational research. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends (pp. 339-362). New York:Routledge.

Lance, C. E., Dawson, B., Birkelbach, D., & Hoffman, B. J. (2010). Method effects, measurement error, and substantive conclusions. Organizational Research Methods, 13(3), 435-455.

Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114-121.

MacKenzie, S. B., & Podsakoff, P. M. (2012). Common method bias in marketing:Causes, mechanisms, and procedural remedies. Journal of Retailing, 88(4), 542-555.

Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research:A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.

Malhotra, N. K., Schaller, T. K., & Patil, A. (2017). Common method variance in advertising research:When to be concerned and how to control for it. Journal of Advertising, 46(1), 193-212.

Meade, A. W., Watson, A. M., & Kroustalis, C. M. (2007). Assessing common methods bias in organizational research. Paper presented at the 22nd Annual Meeting of the Society for Industrial and Organizational Psychology, New York.

Meier, K. J., & O'Toole, L. J., Jr. (2013). Subjective organizational performance and measurement error:Common source bias and spurious relationships. Journal of Public Administration Research and Theory, 23(2), 429-456.

Min, H., Park, J., & Kim, H. J. (2016). Common method bias in hospitality research:A critical review of literature and an empirical study. International Journal of Hospitality Management, 56, 126-135.

Pace, V. L. (2010). Method variance from the perspectives of reviewers:Poorly understood problem or overemphasized complaint? Organizational Research Methods, 13(3), 421-434.

Paiva-Salisbury, M. L., Gill, A. D., & Stickle, T. R. (2016). Isolating trait and method variance in the measurement of callous and unemotional traits. Assessment, 24(6), 763-771.

Podsakoff, N. P., Whiting, S. W., Welsh, D. T., & Mai, K. M. (2013). Surveying for "artifacts":The susceptibility of the OCB-performance evaluation relationship to common rater, item, and measurement context effects. Journal of Applied Psychology, 98(5), 863-874.

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research:A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569.

Reio, T. G., Jr. (2010). The threat of common method variance bias to theory building. Human Resource Development Review, 9(4), 405-411.

Richardson, H. A., Simmering, M. J., & Sturman, M. C. (2009). A tale of three perspectives:Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12(4), 762-800.

Rindfleisch, A., Malter, A. J., Ganesan, S., & Moorman, C. (2008). Cross-sectional versus longitudinal survey research:Concepts, findings, and guidelines. Journal of Marketing Research, 45(3), 261-279.

Schaller, T. K., Patil, A., & Malhotra, N. K. (2015). Alternative techniques for assessing common method variance:An analysis of the theory of planned behavior research. Organizational Research Methods, 18(2), 177-206.

Schwarz, A., Rizzuto, T., Carraher-Wolverton, C., Roldán, J. L., & Barrera-Barrera, R. (2017). Examining the impact and detection of the "urban legend" of common method bias. Data Base for Advances in Information Systems, 48(1), 93-119.

Schwarz, A., Schwarz, C., & Rizzuto, T. (2008). Examining the "urban legend" of common method bias:Nine common errors and their impact. Paper presented at the 41st Hawaii International Conference on System Sciences, Waikoloa, USA. Sharma, R., Yetton, P., & Crawford, J. (2009). Estimating the effect of common method variance:The method-method pair technique with an illustration from TAM research. MIS Quarterly, 33(3), 473-490.

Siemsen, E., Roth, A., & Oliveira, P. (2010). Common method bias in regression models with linear, quadratic, and interaction effects. Organizational Research Methods, 13(3), 456-476.

Spector, P. E. (2006). Method variance in organizational research:Truth or urban legend? Organizational Research Methods, 9(2), 221-232.

Spector, P. E., Bauer, J. A., & Fox, S. (2010). Measurement artifacts in the assessment of counterproductive work behavior and organizational citizenship behavior:Do we know what we think we know? Journal of Applied Psychology, 95(4), 781-790.

Spector, P. E., & Brannick, M. T. (2009). Common method variance or measurement bias? The problem and possible solutions. In D. Buchanan & A. Bryman (Eds.), The Sage handbook of organizational research methods (pp. 346-362). Thousand Oaks, CA:Sage Publications Ltd.

Spector, P. E., & Brannick, M. T. (2010). Common method issues:An introduction to the feature topic in Organizational Research Methods. Organizational Research Methods, 13(3), 403-406.

Spector, P. E., Rosen, C. C., Richardson, H. A., Williams, L. J., & Johnson, R. E. (in press). A new perspective on method variance:A measure-centric approach. Journal of Management. doi:10.1177/0149206316687295

Tehseen, S., Ramayah, T., & Sajilan, S. (2017). Testing and controlling for common method variance:A review of available methods. Journal of Management Sciences, 4(2), 142-168.

Weijters, B., Schillewaert, N., & Geuens, M. (2008). Assessing response styles across modes of data collection. Journal of the Academy of Marketing Science, 36(3), 409-422.

Williams, L. J., & Brown, B. K. (1994). Method variance in organizational behavior and human resources research:Effects on correlations, path coefficients, and hypothesis testing. Organizational Behavior & Human Decision Processes, 57(2), 185-209.

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.

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 & Psychology, 31(3), 339-359.

Wingate, S., Sng, E., & Loprinzi, P. D. (2018). The influence of common method bias on the relationship of the socio-ecological model in predicting physical activity behavior. Health Promotion Perspectives, 8(1), 41-45.