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Common Methods Bias: Does Common Methods Variance Really Bias Results?
Abstract
Methods variance and its effects are at the center of a debate in organizational science. Most of the debate, however, is focused on the prevalence of common methods variance and ignores common methods bias, or the divergence between observed and true relationships among constructs. This article assesses the level of common methods bias in all multitrait-multimethod correlation matrices published over a 12-year period in a set of six social science journals using a combination of structural equation modeling and meta-analysis. The results indicate that only 46% of the variation in measures is attributable to the constructs, that 32% of the observed variation in measures is attributable to common methods variance, and that common methods variance results in a 26% bias in the observed relationships among constructs. This level of bias is cause for concern but does not invalidate many research findings.
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“To help mitigate concerns about effects of transient sources of common method bias, we employed a lagged longitudinal design (Study 2; Doty and Glick, 1998;Podsakoff et al., 2003;Spector, 2006).”
From Work hard or play hard: the effect of leisure crafting on opportunity recognition and venture performance (2023) · cites this paper as Doty and Glick, 1998
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“…conceptualizations of CMV incorrectly assume (a) method alone is sufficient to produce bias and (b) all constructs measured with the same method share the same biases (for consistent, although not strictly identical, arguments see Bagozzi & Yi, 1990; Crampton & Wagner, 1994; Doty & Glick, 1998).”
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“On the positive side, our study was based on a longitudinal design, which diminishes the risks for common method bias (Doty & Glick, 1998).”
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“Although researchers have shown that common method bias is rarely strong enough to invalidate research findings (e.g., Doty & Glick, 1998), replications and extensions of our findings using experimental and longitudinal designs are needed.”
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“However, the repeated measurements over time may have diminished the possibility for common method bias in this study (Doty & Glick, 1998).”
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“There are also substantial reviews of this phenomenon particularly within the psychological sciences (Antonakis, 2017; Doty and Glick, 1998; Fuller et al., 2016; Podsakoff et al., 2012; Spector, 2006; Spector and Brannick, 2009).”
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“…worded items (Price & Mueller, 1986) because they can lead to artificial factor solutions in which positively and negatively worded items are likely to cluster (Demerouti & Nachreiner, 1996; cf. Doty & Glick, 1998) or may show artificial relationships with other constructs (Lee & Ashforth, 1990).”
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“While the multitrait-multimethod (MTMM) technique is generally accepted as the technique of choice to estimate the effect of CMV (Doty and Glick 1998; Podsakoff et al. 2003), social science research, including IS research, typically employs mono-method measurement, for which MTMM based techniques are not applicable.”
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“In addition, from a conceptual perspective, most studies seem to utilize similar definitions of CMV—indicating issues arising when variables are measured using the same method/source, typically a survey (e.g., Avolio, Yammarino, & Bass, 1991; Doty & Glick, 1998; Lindell & Whitney, 2001; Pace, 2010).”
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Chin, W. W., Thatcher, J. B., & Wright, R. T. (2012) · MIS Quarterly · doi:10.2307/41703491 · Cited by 505
Chen, M., Chen, C. C., & Sheldon, O. J. (2016) · Journal of Applied Psychology · doi:10.1037/apl0000111 · Cited by 439
“The temporal separation of 4 weeks was intended to reduce common method variance (Doty & Glick, 1998) by reducing biases in participants’ retrieval and reporting of responses (Podsakoff, MacKenzie, Lee, & Podsakoff, 2003).”
MethodBagozzi, R. P. (2011) · MIS Quarterly · doi:10.2307/23044044 · Cited by 402
“…and significant common method variance is, with some claiming that such bias is often low (e.g., Malhotra et al. 2006; Spector 1987) and others concluding that the bias may be substantial (e.g., Doty and Glick 1998; Podsakoff et al. 2003a; Sharma et al. 2009; Williams et al. 1989), there is rea-12”
BackgroundNielsen, S., & Huse, M. (2010) · European Management Review · doi:10.1057/emr.2009.27 · Cited by 400
“In order to deal with potential common method bias (Doty and Glick, 1998), we applied a number of procedural remedies recommended by Podsakoff et al. (2003) in the instrument development and data collection phase.”
MethodSuccess factors of knowledge management in temporary organizations
Lindner, F., & Wald, A. E. (2010) · International Journal of Project Management · doi:10.1016/j.ijproman.2010.09.003 · Cited by 429
Marketing capabilities: Antecedents and implications for B2B SME performance
Merrilees, B., Rundle-Thiele, S. R., & Lye, A. R. (2010) · Industrial Marketing Management · doi:10.1016/j.indmarman.2010.08.005 · Cited by 396
The role of relationships in understanding telecommuter satisfaction
Golden, T. D. (2006) · Journal of Organizational Behavior · doi:10.1002/job.369 · Cited by 405
Hong, Y., Liao, H., Hu, J., & Jiang, K. (2013) · Journal of Applied Psychology · doi:10.1037/a0031666 · Cited by 386
The Threat of Common Method Variance Bias to Theory Building
Reio, T. G. (2010) · Human Resource Development Review · doi:10.1177/1534484310380331 · Cited by 384
“I refer the reader to Campbell and Fiske (1959), Doty and Glick (1998), Podsakoff and Organ (1986), Podsakoff et al. (2003), and Spector (2006) for more in-depth discussion.”
BackgroundColwell, S. R., & Joshi, A. W. (2011) · Business Strategy and the Environment · doi:10.1002/bse.732 · Cited by 400
Kim, M., & Chai, S. (2017) · International Journal of Production Economics · doi:10.1016/j.ijpe.2017.02.007 · Cited by 367
“Following Podsakoff and Organ (1986) and Doty and Glick (1998), this study inspected all the eigenvalues through un-rotated factor analysis.”
Methodvan Dam, K., Oreg, S., & Schyns, B. (2007) · Applied Psychology · doi:10.1111/j.1464-0597.2007.00311.x · Cited by 371
Method Effects, Measurement Error, and Substantive Conclusions
Lance, C. E., Dawson, B. L., Birkelbach, D. B., & Hoffman, B. J. (2010) · Organizational Research Methods · doi:10.1177/1094428109352528 · Cited by 368
“FMjMj’s can also be estimated from a primary CFA of MTMM data or estimates from previous studies can be located in table 1 by Buckley et al. (1990) and the current study’s Table 2.”
BackgroundMethodInfluentialRodell, J. (2013) · Academy of Management Journal · doi:10.5465/amj.2012.0611 · Cited by 355
“Including the coworker survey introduced source separation as a remedy for common method bias (Doty & Glick, 1998).”
BackgroundMethodInfluentialA Study of the Antecedents and Consequences of Psychological Ownership in Organizational Settings
Mayhew, M. G., Ashkanasy, N. M., Bramble, T., & Gardner, J. (2007) · The Journal of Social Psychology · doi:10.3200/socp.147.5.477-500 · Cited by 357
Performance appraisal reactions: Measurement, modeling, and method bias.
Keeping, L. M., & Levy, P. E. (2000) · Journal of Applied Psychology · doi:10.1037/0021-9010.85.5.708 · Cited by 353
Autio, E., Dahlander, L., & Frederiksen, L. (2013) · Academy of Management Journal · doi:10.5465/amj.2010.0328 · Cited by 355
“Our data came from (1) interviews, (2) a survey, and (3) a web log (message archive) of all interactions in the Propellerhead user community (henceforth, “the community”), thus helping us avoid common method bias (Doty & Glick, 1998).”
MethodWu, Z., Choi, T. Y., & Rungtusanatham, M. J. (2009) · Journal of Operations Management · doi:10.1016/j.jom.2009.09.002 · Cited by 341
Dubey, R., Bryde, D., Dwivedi, Y. K., Graham, G., & Foropon, C. R. H. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108618 · Cited by 403
“Some of these sources are from overly complex or abstract questions (Doty and Glick, 1998).”
BackgroundLeader-member exchange, work engagement, and job performance
Breevaart, K., Bakker, A. B., Demerouti, E., & van den Heuvel, M. (2015) · Journal of Managerial Psychology · doi:10.1108/jmp-03-2013-0088 · Cited by 437
The Safety of Objects: Materialism, Existential Insecurity, and Brand Connection
Rindfleisch, A., Burroughs, J. E., & Wong, N. (2009) · Journal of Consumer Research · doi:10.1086/595718 · Cited by 441
How (Not) to Solve the Problem: An Evaluation of Scholarly Responses to Common Source Bias
Favero, N., & Bullock, J. B. (2015) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/muu020 · Cited by 372
Dormant Ties: The Value Of Reconnecting
Levin, D. Z., Walter, J., & Murnighan, J. K. (2011) · Organization Science · doi:10.1287/orsc.1100.0576 · Cited by 326
“In addition, when we used Doty and Glick’s (1998) corrective test to reduce the strength of our findings, the significant effects in our regression analyses in Table 2 remained either fully or marginally significant.”
Metadata
- Authors
- Doty, D. H., & Glick, W. H.
- Affiliations
- Syracuse University (US)
- Arizona State University (US)
- ORCID
- Doty, D. Harold
- Venue
- Organizational Research Methods
- Publisher
- SAGE Publications
- Published
- 1998-10
- Volume
- 1
- Issue
- 4
- Pages
- 374-406
- ISSN
- 1094-4281 (ISSN-L)
- 1552-7425
- OpenAlex
- W2168082050
- Cited by
- 1,380
- References
- 84
- Citations by year
- 2026: 37 · 2025: 39 · 2024: 51 · 2023: 52 · 2022: 51 · 2021: 64 · 2020: 62 · 2019: 58 · 2018: 55 · 2017: 67 · 2016: 63 · 2015: 64 · 2014: 95 · 2013: 89 · 2012: 92
- FWCI
- 9.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organizational Research Methods (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- measurement bias, construct relationships, measurement error, organizational analysis
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