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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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Barker, J. M., & Brau, R. I. (2020) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/ijpdlm-09-2019-0292 · Cited by 39
Communication and marketing of services by religious organizations in India
Iyer, S., Velu, C. K., & Mumit, A. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2013.03.012 · Cited by 31
“…of responsibility and knowledge of all of the survey questions, the researchers conduct interviews of a few people in each organization to obtain the information needed for different sections of the survey, including competitive reactions (Doty & Glich, 1998; Friedrich, Bryne, & Mumford, 2009).”
BackgroundCooper, D., Peake, W. O., & Watson, W. E. (2016) · Journal of Small Business Management · doi:10.1111/jsbm.12228 · Cited by 31
“…in Table 1, our sample exhibits a high level of similarity to the general small business population, based on Because our data were collected from a single respondent using a single survey instrument, common method bias could potentially influence the results of the study (Doty and Glick 1998).”
ResultBringing “The Beholder” center stage: On the propensity to perceive overall fairness
Colquitt, J. A., Zipay, K. P., Lynch, J. W., & Outlaw, R. (2018) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.08.001 · Cited by 32
The Measurement of Job Satisfaction
Karatepe, O. M., Avcí, T., Karatepe, T., & Canozer, S. (2003) · International Journal of Hospitality & Tourism Administration · doi:10.1300/j149v04n01_04 · Cited by 31
“This might have created a common method variance, although strong criteria for measure assessment were employed (Doty & Glick, 1998).”
MethodPillet, J., Carillo, K., Vitari, C., & Pigni, F. (2023) · Information Systems Journal · doi:10.1111/isj.12428 · Cited by 35
“Indeed, item ambiguity may have its roots in the vagueness of an item's denotative meaning (Hardy & Ford, 2014), the existence of multiple conflicting meanings (Fowler, 1992), or the abstractness of the underlying construct (Doty & Glick, 1998), all of which relate to underlying semantic problems.”
BackgroundQuadt, L., Williams, G., Mulcahy, J., Larsson, D. E. O., Silva, M., Arnold, A. J., Critchley, H., & Garfinkel, S. N. (2023) · Autism in Adulthood · doi:10.1089/aut.2022.0062 · Cited by 35
“80 Although the self-report questionnaire we used for measuring sensory reactivity 58 contains some items touching on behavioral responsivity (seeking/avoidance), it is only validated in adults to provide scores on sensory hyper-and hypo-‘‘sensitivities.’’”
The many heels of Achilles: An analysis of self-reported limitations in leadership research
Brutus, S., & Duniewicz, K. (2011) · The Leadership Quarterly · doi:10.1016/j.leaqua.2011.11.015 · Cited by 30
Peña‐Vinces, J. C., Casanova, L., Guillen, J. B., & Urbano, D. (2016) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2016.1156525 · Cited by 31
Assessing the Evaluative Content of Personality Questionnaires Using Bifactor Models
Biderman, M. D., McAbee, S. T., Chen, Z. J., & Hendy, N. T. (2018) · Journal of Personality Assessment · doi:10.1080/00223891.2017.1406362 · Cited by 30
“For example, Doty and Glick (1998) used multitrait–multimethod analyses of scale scores and reported that 32% of the observed variation in constructs was attributable to common methods variance.”
MethodHabib, F., Bastl, M., Karatzas, A., & Mena, C. (2019) · Industrial Marketing Management · doi:10.1016/j.indmarman.2019.07.008 · Cited by 30
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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