Gender Bias Produces Gender Gaps in STEM Engagement
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We explored whether the existence of gender bias causes gender gaps in STEM engagement. In Experiment 1 (n = 322), U.S. women projected less sense of belonging, positivity toward, and aspirations to participate in STEM than did men when exposed to the reality of STEM gender bias. These gender differences disappeared when participants were told that STEM exhibits gender equality, suggesting that gender bias produces STEM gender gaps. Experiment 2 (n = 429) explored whether results generalized to a specific STEM department, and whether organizational efforts to mitigate gender bias might shrink gender gaps. U.S. women exposed to a biased chemistry department anticipated more discrimination and projected less sense of belonging, positive attitudes and trust and comfort than did men. These gender differences vanished when participants read about an unbiased department, again suggesting that gender bias promotes STEM gender gaps. Further, moderated mediation analyses suggested that in the presence of gender bias (but not gender equality), women projected less positive attitudes and trust and comfort than did men because they experienced less sense of belonging and anticipated more discrimination. Results were largely unaffected by whether departments completed a diversity training, suggesting that knowledge of diversity initiatives alone cannot close STEM gender gaps.
KeywordsGender bias STEM Gender gap Sexism Diversity training
The authors thank Dr. Evava Pietri for statistical consultation. This research was funded in part by a research grant from the Smithsonian Institute and a faculty development grant from Skidmore College, both to the first author.
Compliance with Ethical Standards
All data were collected in accordance with the highest established (APA) ethical standards (including obtaining informed consent from human participants). This work is not currently under review elsewhere, nor has it been previously published in whole or in part. This research was funded in part by a research grant from the Smithsonian Institute and a faculty development grant from Skidmore College, both to the first author.
Conflict of Interest
The authors declare that they have no conflict of interest.
- Carnes, M., Devine, P. G., Baier Manwell, L., Byars-Winston, A., Fine, E., Ford, C. E., … Sheridan, J. (2015). The effect of an intervention to break the gender bias habit for faculty at one institution: A cluster randomized, controlled trial. Academic Medicine, 90, 221–230. https://doi.org/10.1097/ACM.0000000000000552.CrossRefGoogle Scholar
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillside: Lawrence Erlbaum Associates.Google Scholar
- Crocker, J., & Major, B. (1989). Social stigma and self-esteem: The self-protective properties of stigma. Psychological Review, 96, 608–630. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.336.9967&rep=rep1&type=pdf.CrossRefGoogle Scholar
- Devine, P. G., Forscher, P. S., Cox, W. T. L., Kaatz, A., Sheridan, J., & Carnes, M. (2017). A gender bias habit-breaking intervention led to increased hiring of female faculty in STEMM departments. Journal of Experimental Social Psychology, 73, 211–215. https://doi.org/10.1016/j.jesp.2017.07.002.CrossRefPubMedPubMedCentralGoogle Scholar
- Diekman, A. B., Clark, E. K., Johnston, A. M., Brown, E. R., & Steinberg, M. (2011). Malleability in communal goals and beliefs influence attraction to STEM careers: Evidence for a goal congruity perspective. Journal of Personality and Social Psychology, 101, 902–918. https://doi.org/10.1037/a0025199.CrossRefPubMedGoogle Scholar
- Diekman, A. B., Steinberg, M., Brown, E. R., Belanger, A. L., & Clark, E. K. (2017). A goal congruity model of role entry, engagement, and exit: Understanding communal goal processes in STEM gender gaps. Personality and Social Psychology Review, 21, 142–175. https://doi.org/10.1177/1088868316642141.CrossRefPubMedGoogle Scholar
- Green, T., & Kalev, A. (2008). Discrimination-reducing measures at the relational level. Hastings Law Journal, 59, 1435–1461. Retrieved from https://ssrn.com/abstract=1322504.
- Halpern, D. F., Benbow, C. P., Geary, D. C., Gur, R. C., Hyde, J. S., & Gernsbacher, M. A. (2007). The science of sex differences in science and mathematics. Psychological Science in the Public Interest, 8, 1–51. https://doi.org/10.1111/j.1529-1006.2007.00032.x.CrossRefPubMedPubMedCentralGoogle Scholar
- Inzlicht, M., & Schmader, T. (Eds.). (2012). Stereotype threat: Theory, process, and applications. New York: Oxford University Press.Google Scholar
- Latu, I. M., Mast, M. S., & Stewart, T. L. (2015). Gender biases in (inter) action: The role of interviewers’ and applicants’ implicit and explicit stereotypes in predicting women’s job interview outcomes. Psychology of Women Quarterly, 39, 539–522. https://doi.org/10.1177/0361684315577383.CrossRefGoogle Scholar
- Logel, C., Walton, G. M., Spencer, S. J., Iserman, E. C., von Hippel, W., & Bell, A. E. (2009). Interacting with sexist men triggers social identity threat among female engineers. Journal of Personality and Social Psychology, 96, 1089–1103. https://doi.org/10.1037/a0015703.CrossRefPubMedGoogle Scholar
- Midura, M. (2013). John vs. Jennifer: A battle of the sexes. Yale Scientific. Retrieved from http://www.yalescientific.org/2013/02/john-vs-jennifer-a-battle-of-the-sexes/.
- Moss-Racusin, C. A., Pietri, E. V., Hennes, E. P., Dovidio, J. F., Brescoll, V. L., Roussos, G., … Handelsman, J. (2018). Reducing gender bias with VIDS (Video interventions for diversity in STEM). Journal of Experimental Psychology: Applied. Advance online publication. https://doi.org/10.1037/xap0000144.PubMedGoogle Scholar
- National Science Foundation, National Center for Science and Engineering Statistics (2017). Women, minorities, and persons with disabilities in science and engineering: 2017. Special Report NSF 17–310. Arlington, VA. Retrieved from www.nsf.gov/statistics/wmpd/.
- Nittrouer, C. L., Hebl, M. R., Ashburn-Nardo, L., Trump-Steele, R. C. E., Lane, D. M., & Valian, V. (2017). Gender disparities in colloquium speakers at top universities. Proceedings of the National Academy of Sciences of the United States of America, 115, 104–108. https://doi.org/10.1073/pnas.1708414115.CrossRefPubMedPubMedCentralGoogle Scholar
- Nosek, B. A., Smyth, F. L., Sriram, N., Linder, N. M., Devos, T., Ayala, A., … Greenwald, A. G. (2009). National differences in gender-science stereotypes predict national sex differences in science and math achievement. Proceedings of the National Academy of Sciences of the United States of America, 106, 10593-10597. https://doi.org/10.1073/pnas.0809921106.CrossRefGoogle Scholar
- Paluck, E. L., & Green, D. P. (2009). Prejudice reduction: What works? A review and assessment of research and practice. Annual Review of Psychology, 60, 339–367. https://doi.org/10.1146/annurev.psych.60.110707.163607.CrossRefPubMedGoogle Scholar
- Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on Amazon mechanical Turk. Judgment and Decision Making, 5, 411–419. Retrieved from https://ssrn.com/abstract=1626226.
- Pollack, E. (2013, October 3). Why are there still so few women in science? New York Times Magazine. Retrieved from http://www.nytimes.com/2013/10/06/magazine/why-are-there-still-so-few-women-in-science.html.
- Purdie-Vaughns, V., Steele, C. M., Davies, P. G., Ditlmann, R., & Crosby, J. R. (2008). Social identity contingencies: How diversity cues signal threat or safety for African Americans in mainstream institutions. Journal of Personality and Social Psychology, 94, 615–630. https://doi.org/10.1037/0022-35126.96.36.1995.CrossRefPubMedGoogle Scholar
- Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. A. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100, 255–270. https://doi.org/10.1037/a0021385.CrossRefGoogle Scholar
- Williams, J. C., & Smith, J. L. (2015). The myth that academic science isn’t biased against women. The Chronicle of Higher Education. Retrieved from http://www.chronicle.com/article/The-Myth-That-Academic-Science/231413/.
- Wilton, L. S., Good, J. J., Moss-Racusin, C. A., & Sanchez, D. T. (2015). Communicating more than diversity: The effect of institutional diversity statements on expectations and performance as a function of race and gender. Cultural Diversity and Ethnic Minority Psychology, 21, 315–325. https://doi.org/10.1037/a0037883.CrossRefPubMedGoogle Scholar
- Yeager, D. S., Walton, G. M., Brady, S. T., Akcinar, E. N., Paunesku, D., Keane, L., … Dweck, C. S. (2016). Teaching a lay theory before college narrows achievement gaps at scale. Proceedings of the National Academy of Sciences of the United States of America, 113, 3341–3348. https://doi.org/10.1073/pnas.1524360113.CrossRefGoogle Scholar