Science faculty’s subtle gender biases favor male students
Open accessAbstract
Despite efforts to recruit and retain more women, a stark gender disparity persists within academic science. Abundant research has demonstrated gender bias in many demographic groups, but has yet to experimentally investigate whether science faculty exhibit a bias against female students that could contribute to the gender disparity in academic science. In a randomized double-blind study ( n = 127), science faculty from research-intensive universities rated the application materials of a student—who was randomly assigned either a male or female name—for a laboratory manager position. Faculty participants rated the male applicant as significantly more competent and hireable than the (identical) female applicant. These participants also selected a higher starting salary and offered more career mentoring to the male applicant. The gender of the faculty participants did not affect responses, such that female and male faculty were equally likely to exhibit bias against the female student. Mediation analyses indicated that the female student was less likely to be hired because she was viewed as less competent. We also assessed faculty participants’ preexisting subtle bias against women using a standard instrument and found that preexisting subtle bias against women played a moderating role, such that subtle bias against women was associated with less support for the female student, but was unrelated to reactions to the male student. These results suggest that interventions addressing faculty gender bias might advance the goal of increasing the participation of women in science.
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Faculty members of both genders have been shown to have unconscious biases against women in science, including rating women less deserving of mentoring than men with the same academic credentials.
“Faculty members of both genders have been shown to have unconscious biases against women in science, including rating women less deserving of mentoring than men with the same academic credentials (Moss-Racusin et al., 2012).”
From Race and Gender Differences in Undergraduate Research Mentoring Structures and Research Outcomes (2017) · cites this paper as Moss-Racusin et al., 2012
The Discussion reports that male and female faculty offered less career mentoring to a female applicant than to an identical male applicant. It describes the bias as *likely* unintentional, rather than demonstrating that it was unconscious; that part of the claim is stronger than the paper's finding. (LLM, conf=0.84)
Experimental — accuracy not yet measuredResearch on gender attitudes typically shows a preference for women over men, which conflicts with the commonly observed preference for men over women in hiring decisions.
“Research on gender attitudes typically shows a preference for women over men (Eagly & Mladinic 1989), which conflicts with the commonly observed preference for men over women in hiring decisions (e.g., Moss-Racusin et al. 2012).”
From Unawareness of Attitudes, Their Environmental Causes, and Their Behavioral Effects (2025) · cites this paper as Moss-Racusin et al. 2012
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- Authors
- Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J.
- Affiliations
- Department of Molecular, Cellular and Developmental Biology,
- Department of Psychology,
- Yale University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-09-17
- Volume
- 109
- Issue
- 41
- Pages
- 16474-16479
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3478626
- OpenAlex
- W2170508806
- Cited by
- 3,150
- References
- 64
- Citations by year
- 2026: 137 · 2025: 207 · 2024: 208 · 2023: 235 · 2022: 280 · 2021: 281 · 2020: 385 · 2019: 331 · 2018: 256 · 2017: 252 · 2016: 156 · 2015: 184 · 2014: 152 · 2013: 74 · 2012: 8
- FWCI
- 345.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Topics
- Social Sciences › Safety Research › Career Development and Diversity
- Social Sciences › Gender Studies › Gender Diversity and Inequality
- Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
- Keywords
- gender bias, science faculty, female students, name-based discrimination, hiring decisions, perceived competence, starting salaries, career mentoring, double-blind study, women in science
- MeSH terms
- Adult, Double-Blind Method, Faculty, Female, Humans, Male, Personnel Selection, Regression Analysis, Salaries and Fringe Benefits, Science, Sex Factors, Students, Laboratory Personnel, Sexism
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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