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What Reviewers Should Expect from Authors Regarding Common Method Bias in Organizational Research
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Citations
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Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Skinner, B. F. (1957) · doi:10.1037/11256-000 · Cited by 5,759
�ber den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik
Heisenberg, W. (1927) · Zeitschrift f�r Physik · doi:10.1007/bf01397280 · Cited by 4,278
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
Development and validation of work–family conflict and family–work conflict scales
Netemeyer, R. G., Boles, J. S., & McMurrian, R. (1996) · Journal of Applied Psychology · doi:10.1037/0021-9010.81.4.400 · Cited by 3,864
Lack of method variance in self-reported affect and perceptions at work: reality or artifact?
Williams, L. J., Cote, J. A., & Buckley, M. R. (1989) · Journal of Applied Psychology · doi:10.1037/0021-9010.74.3.462 · Cited by 1,616
Common methods bias: does common methods variance really bias results?
Doty, D. H., & Glick, W. H. (1998) · Organizational Research Methods · doi:10.1177/109442819814002 · Cited by 1,380 · cited 3×
“While there is a substantial literature about controlling common method bias that targets researchers and authors (e.g., Cote and Buckley 1987; Crampton and Wagner 1994; Lance et al., in press; Podsakoff et al. 2003; Richardson et al. 2009; Spector 2006; Williams et al. 1989) there is very little that advises reviewer…”
Research works printed but not linked: 47
- Arora, R. (1982). Validation of an S-O-R model for situation, enduring and response components of involvement. Journal of Marketing Research, 19, 505–516. · DOI
- Bagozzi, R. P., & Yi, Y. (1990). Assessing method variance in multitrait-multimethod matrices: The case of self-reported affect and perceptions at work. Journal of Applied Psychology, 75, 547–560. · doi:10.1037/0021-9010.75.5.547 · Paper page
- Becker, T. E., & Cote, J. A. (1994). Additive and multiplicative method effects in applied psychological research: An empirical assessment of three models. Journal of Management, 20, 625–641. · doi:10.1177/014920639402000306
- Bozeman, D., & Perrewé, P. (2001). The effect of item content overlap on Organizational Commitment Questionnaire–turnover cognitions relationships. Journal of Applied Psychology, 86, 161–173. · doi:10.1037/0021-9010.86.1.161 · Paper page
- Brannick, M. T., Chan, D., Conway, J. M., Lance, C. E., & Spector, D. (in press). What is method variance and how can we cope with it? A panel discussion. Organizational Research Methods.
- Campbell, J. (1982). Editorial: Some remarks from the outgoing editor. Journal of Applied Psychology, 67, 691–700. · DOI · Paper page
- Chan, D. (2001). Method effects of positive affectivity, negative affectivity, and impression management in self-reports of work attitudes. Human Performance, 14, 77–96. · DOI
- Chan, D. (2009). So why ask me? Are self-report data really that bad? In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and metholodogical myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp. 311–338). New York: Routledge.
- Conway, J. M. (2002). Method variance and method bias in I/O psychology. In S. G. Rogelberg (Ed.), Handbook of research methods in industrial and organizational psychology (pp. 344–365). Oxford: Blackwell Publishers.
- Cote, J. A., & Buckley, M. R. (1987). Estimating trait, method and error variance: Generalizing across 70 construct validation studies. Journal of Marketing Research, 26, 315–318. · DOI · Paper page
- Crampton, S., & Wagner, J. (1994). Percept-percept inflation in microorganizational research: An investigation of prevalence and effect. Journal of Applied Psychology, 79, 67–76. · doi:10.1037/0021-9010.79.1.67 · Paper page
- Dooley, W. K., Shaffer, D. R., Lance, C. E., & Williamson, G. M. (2007). Informal care can be better than adequate: Development and evaluation of the exemplary care scale. Rehabilitation Psychology, 52, 359–369. · DOI
- Feldt, L. S., & Brennan, R. L. (1989). Reliability. In R. L. Linn (Ed.), Educational measurement (3rd ed., pp. 105–146). Washington, DC: American Council on Education and National Council on Measurement in Education.
- Hoffman, B. J., Lance, C. E., Bynum, B. H., & Gentry, W. A. (2010). Rater source effects are alive and well after all. Personnel Psychology, 63, 119–151. · DOI
- Hoffman, B. J., & Woehr, D. J. (2009). Disentangling the meaning of multisource performance rating source and dimension factors. Personnel Psychology, 62, 735–765. · DOI
- Hunter, J. (1997). Needed: A ban on the significance test. Psychological Science, 8, 3–7. · DOI · Paper page
- James, L. A., & James, L. R. (1989). Integrating work environment perceptions: Explorations into the measurement of meaning. Journal of Applied Psychology, 74, 739–751. · doi:10.1037/0021-9010.74.5.739 · Paper page
- Judge, T., Bono, J., & Locke, E. (2000). Personality and job satisfaction: The mediating role of job characteristics. Journal of Applied Psychology, 85, 237–249. · DOI · Paper page
- 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 metholodogical myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp. 339–362). New York: Routledge.
- Lance, C. E., Baxter, D., & Mahan, R. P. (2006). Multi-source performance measurement: A reconceptualization. In W. Bennett, C. E. Lance, & D. J. Woehr (Eds.), Performance measurement: Current perspectives and future challenges (pp. 49–76). Mahwah, NJ: Erlbaum.
- Lance, C. E., Dawson, B., Birklebach, D., & Hoffman, B. J. (in press). Method effects, measurement error, and substantive conclusions. Organizational Research Methods. · DOI · Paper page
- Lance, C. E., Hoffman, B. J., Baranik, L. E., & Gentry, W. A. (2008). Rater source factors represent important subcomponents of the criterion construct space, not rater bias. Human Resource Management Review, 18, 223–232. · DOI
- Lance, C. E., Teachout, M. S., & Donnelly, T. M. (1992). Specification of the criterion construct space: An application of hierarchical confirmatory factor analysis. Journal of Applied Psychology, 77, 437–452. · DOI
- Lance, C. E., & Vandenberg, R. J. (2009). Introduction. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and metholodogical myths and urban legends: Doctrine, verity and fable in the organizational and social sciences (pp. 1–4). New York: Routledge.
- Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86, 114–121. · DOI · Paper page
- Lord, F. M., & Novick, M. R. (1968). Statistical theories of mental test scores. Reading, MA: Addison-Wesley Publishing Company.
- MacKenzie, S. B., Podsakoff, P. M., & Ahearne, M. (1998). Some possible antecedents and consequences of in-role and extra-role salesperson performance. Journal of Marketing, 62, 87–98. · DOI · Paper page
- Mallard, A. G. C., & Lance, C. E. (1998). Development and evaluation of a parent–employee interrole conflict scale. Social Indicators Research, 45, 343–370. · DOI
- Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational measurement (pp. 13–103). Washington, DC: American Council on Education and National Council on Measurement in Education.
- Motowidlo, S., Borman, W., & Schmit, M. (1997). A theory of individual differences in task and contextual performance. Human Performance, 10, 71–83. · DOI · Paper page
- Mount, M. K., Judge, T. A., Scullen, S. E., Sytsma, M. R., & Hezlett, S. A. (1998). Trait, rater, and level effects in 360-degree performance ratings. Personnel Psychology, 51, 557–576. · DOI
- Mowday, R. T., Steers, R. M., & Porter, L. W. (1979). The measurement of organizational commitment. Journal of Vocational Behavior, 14, 224–247. · DOI · Paper page
- Ones, D., Viswesvaran, C., & Reiss, A. (1996). Role of social desirability in personality testing for personnel selection: The red herring. Journal of Applied Psychology, 81, 660–679. · doi:10.1037/0021-9010.81.6.660 · Paper page
- Organ, D., & Ryan, K. (1995). A meta-analytic review of attitudinal and dispositional predictors of organizational citizenship behavior. Personnel Psychology, 48, 775–802. · DOI · Paper page
- Podsakoff, P., & Todor, W. (1985). Relationships between leader reward and punishment behavior and group processes and productivity. Journal of Management, 11, 55–73. · DOI
- Putka, D. M., & Sackett, P. R. (2010). Reliability and validity. In J. L. Farr & N. T. Tippins (Eds.), Handbook of employee selection (pp. 9–49). New York: Routledge.
- Richardson, H., Simmering, M., & Sturman, M. (2009). A tale of three perspectives: Examining post hoc statistical techniques for detection and correction of common method variance. Organizational Research Methods, 12, 762–800. · DOI · Paper page
- Scullen, S. E., Mount, M. K., & Goff, M. (2000). Understanding the latent structure of job performance ratings. Journal of Applied Psychology, 85, 956–970. · doi:10.1037/0021-9010.85.6.956 · Paper page
- Scullen, S. E., Mount, M. K., & Judge, T. A. (2003). Evidence of the construct validity of developmental ratings of managerial performance. Journal of Applied Psychology, 88, 50–66. · DOI
- Shalley, C., Gilson, L., & Blum, T. (2009). Interactive effects of growth need strength, work context, and job complexity on self-reported creative performance. Academy of Management Journal, 52, 489–505. · DOI · Paper page
- Spector, P. (2006). Method variance in organizational research: Truth or urban legend? Organizational Research Methods, 9, 221–232. · DOI · Paper page
- Tornow, W. W. (1993). Perceptions or reality: Is multi-perspective measurement a means or an end? Human Resource Management, 32, 221–229. · DOI · Paper page
- Van Scotter, J. R., & Motowidlo, S. J. (1996). Interpersonal facilitation and job dedication as separate facets of contextual performance. Journal of Applied Psychology, 81, 525–531. · doi:10.1037/0021-9010.81.5.525 · Paper page
- Vandenberg, R. J. (2006). Statistical and methodological myths and urban legends: Where, pray tell, did they get this idea? Organizational Research Methods, 9, 194–201. · DOI · Paper page
- Westaby, J., & Braithwaite, K. (2003). Specific factors underlying reemployment self-efficacy: Comparing control belief and motivational reason methods for the recently unemployed. Journal of Applied Behavioral Science, 39, 415–437. · DOI
- Widaman, K. (1985). Hierarchically nested covariance structure models for multitrait-multimethod data. Applied Psychological Measurement, 9, 1–26. · DOI · Paper page
- Williams, L. J., & Anderson, S. E. (1994). An alternative approach to method effects by using latent-variable models: Applications in organizational behavior research. Journal of Applied Psychology, 79, 323–331. · doi:10.1037/0021-9010.79.3.323 · Paper page
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Fuller, C. M., Simmering, M. J., Atinc, G., Atinc, Y., & Babin, B. J. (2016) · Journal of Business Research · doi:10.1016/j.jbusres.2015.12.008 · Cited by 3,519
Understanding and managing the threat of common method bias: Detection, prevention and control
Kock, F., Berbekova, A., & Assaf, A. G. (2021) · Tourism Management · doi:10.1016/j.tourman.2021.104330 · Cited by 1,692
Sustainable operations: Their impact on the triple bottom line
Gimenez, C., Sierra, V., & Rodon, J. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.01.035 · Cited by 1,019
Common method bias in applied settings: The dilemma of researching in organizations
Jordan, P. J., & Troth, A. C. (2020) · Australian Journal of Management · doi:10.1177/0312896219871976 · Cited by 997
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Metadata
- Authors
- Conway, J. M., & Lance, C. E.
- Venue
- Journal of Business and Psychology
- Published
- 2010-05-22
- Volume
- 25
- Issue
- 3
- Pages
- 325-334
- ISSN
- 0889-3268 (ISSN-L)
- 1573-353X
- OpenAlex
- W2038788228
- Cited by
- 2,392
- References
- 8
- FWCI
- 93.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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