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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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“We performed multiple post hoc tests for CMV, and our results indicated that CMV cannot be completely ruled out; however, any impact was minimal and did not bias the final results (cf. Doty & Glick, 1998, Spector, 2006).”
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American presidential Machiavellianism
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“Therefore, this research design avoided common source and method validity threats (e.g., Doty & Glick, 1998; Podsakoff & Organ, 1986).”
MethodBuilding engagement in the workplace
Bakker, A. B. (2008) · Routledge eBooks · doi:10.4324/9780203971611-14 · Cited by 193
Elaborating the construct of transformational leadership: The role of affect
Brown, D. J., & Keeping, L. M. (2005) · The Leadership Quarterly · doi:10.1016/j.leaqua.2005.01.003 · Cited by 197
Attitudinal and behavioral consequences of work‐family conflict and family‐work conflict
Yavas, U., Babakus, E., & Karatepe, O. M. (2008) · International Journal of Service Industry Management · doi:10.1108/09564230810855699 · Cited by 220
The importance of participant interaction in online environments
Arbaugh, J. B., & Benbunan‐Fich, R. (2007) · Decision Support Systems · doi:10.1016/j.dss.2006.12.013 · Cited by 195
“This analysis produced eight factors with no single factor accounting for the majority of variance, thus reducing concerns about common method variance [16].”
MethodPinheiro, M. A. P., Jugend, D., Jabbour, A. B. L. D. S., Jabbour, C. J. C., & Latan, H. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2905 · Cited by 213
Wicker, P. V., & Breuer, C. (2012) · VOLUNTAS International Journal of Voluntary and Nonprofit Organizations · doi:10.1007/s11266-012-9272-2 · Cited by 190
A cross‐cultural examination of subordinates' perceptions of and reactions to abusive supervision
Vogel, R. M., Mitchell, M. S., Tepper, B. J., Restubog, S. L. D., Hu, C., Hua, W., & Huang, J. (2014) · Journal of Organizational Behavior · doi:10.1002/job.1984 · Cited by 189
“(2014) DOI: 10.1002/job reflective in CMV and strengthens causal inferences (Doty & Glick, 1998; Podsakoff et al., 2012).”
BackgroundInfluentialStigma and Acceptance of Persons With Disabilities
McLaughlin, M. E., Bell, M. P., & Stringer, D. Y. (2004) · Group & Organization Management · doi:10.1177/1059601103257410 · Cited by 191
“This is a reasonable criticism, because exclusive reliance on selfreport measures will most likely result in some degree of common method variance (CMV) (Doty & Glick, 1998).”
BackgroundInfluentialEmbracing supply chain agility: an investigation in the electronics industry
Tse, Y. K., Zhang, M., Akhtar, P., & MacBryde, J. (2016) · Supply Chain Management An International Journal · doi:10.1108/scm-06-2015-0237 · Cited by 190
“In this study, the common method bias may exist, as all the measures use 7-point Likert scales and responses are from a single informant from each organization (Podsakoff et al., 2003, Doty and Glick, 1998).”
MethodDistributor Sharing of Strategic Information with Suppliers
Frazier, G. L., Maltz, E. N., Antia, K. D., & Rindfleisch, A. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.4.31 · Cited by 187
Gupta, A. K., & Gupta, N. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119948 · Cited by 214
To prosper, organizational psychology should … overcome methodological barriers to progress
Edwards, J. R. (2008) · Journal of Organizational Behavior · doi:10.1002/job.529 · Cited by 186
“Moreover, bias due to commonmethod variance is a matter of degree and depends on the substantive nature of the constructs assessed by the measures (Crampton & Wagner, 1994; Doty & Glick, 1998; Spector, 2006; Williams, Cote, & Buckley, 1989).”
Challenging Issues in Survey Research: Discussion and Suggestions
Speklé, R. F., & Widener, S. K. (2017) · Journal of Management Accounting Research · doi:10.2308/jmar-51860 · Cited by 188
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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