Lindberg, S. M., Hyde, J. S., Petersen, J. L., & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136(6), 1123-1135. https://doi.org/10.1037/a0021276
MacNell, L., Driscoll, A., & Hunt, A. N. (2015). What’s in a name: Exposing gender bias in student ratings of teaching. Innovative Higher Education, 40(4), 291-303. https://doi.org/10.1007/s10755-014-9313-4
Madera, J. M., Hebl, M. R., Dial, H., Martin, R., & Valian, V. (2019). Raising doubt in letters of recommendation for academia: Gender differences and their impact. Journal of Business and Psychology, 34(3), 287-303. https://doi.org/10.1007%2Fs10869-018-9541-1
Magua, W., Zhu, X., Bhattacharya, A., Filut, A., Potvien, A., Leatherberry, R., Lee, Y.-G., Jens, M., Malikireddy, D., Carnes, M. & others (2017). Are female applicants disadvantaged in National Institutes of Health peer review? Combining algorithmic text mining and qualitative methods to detect evaluative differences in R01 reviewers’ critiques. Journal of Women’s Health, 26, 560–570. https://doi.org/10.1089/jwh.2016.6021
Methods: We analyzed 241 critiques from 79 Summary Statements for 51 R01 renewals awarded to 45 in- vestigators (64% male, 89% white, 80% PhD) at the University of Wisconsin-Madison between 2010 and 2014. We used latent Dirichlet allocation to discover evaluative ‘‘topics’’ (i.e., words that co-occur with high prob- ability). We then qualitatively examined the context in which evaluative words occurred for male and female investigators. We also examined sex differences in assigned scores controlling for investigator productivity. Results: Text analysis results showed that male investigators were described as ‘‘leaders’’ and ‘‘pioneers’’ in their ‘‘fields,’’ with ‘‘highly innovative’’ and ‘‘highly significant research.’’ By comparison, female investigators were characterized as having ‘‘expertise’’ and working in ‘‘excellent’’ environments. Applications from men received significantly better priority, approach, and significance scores, which could not be accounted for by differences in productivity.
Conclusions: Results confirm our previous analyses suggesting that gender stereotypes operate in R01 grant peer review. Reviewers may more easily view male than female investigators as scientific leaders with sig- nificant and innovative research, and score their applications more competitively. Such implicit bias may contribute to sex differences in award rates for R01 renewals.
Martell, R. F., Lane, D. M., & Emrich, C. (1996). Male-female differences: A computer simulation. American Psychologist, 51(2), 157-158. https://doi.org/10.1037/0003-066X.51.2.157
Massen, J. J. M., Bauer, L., Spurny, B., Bugnyar, T., & Kret, M. E. (2017). Sharing of science is most likely among male scientists. Scientific Reports, 7, 12927. https://doi.org/10.1038/s41598-017-13491-0
McGee, E. O., Botchway, P. K., Naphan-Kingery, D. E., Brockman, A. J., Houston, S., & White, D. T. (2022). Racism camouflaged as impostorism and the impact on black STEM doctoral students. Race Ethnicity and Education, 25(4), 487-507. https://doi.org/10.1080/13613324.2021.1924137
Mengel, F., Sauermann, J., & Zölitz, U. (2019). Gender bias in teaching evaluations. Journal of the European Economic Association, 17(2), 535-566. https://doi.org/10.1093/jeea/jvx057
Milkman, K. L., Akinola, M., & Chugh, D. (2015). What happens before? A field experiment exploring how pay and representation differentially shape bias on the pathway into organizations. Journal of Applied Psychology, 100(6), 1678-1712. https://doi.org/10.1037/apl0000022
Miriti, M. N. (2020). The elephant in the room: race and STEM diversity. BioScience, 70(3), 237-242. https://doi.org/10.1093/biosci/biz167
Monteith, M. J. (1993). Self-regulation of prejudiced responses: Implications for progress in prejudice-reduction efforts. Journal of Personality and Social Psychology, 65(3), 469-485. https://doi.org/10.1037/0022-3514.65.3.469
Monteith, M. J. (1993). Self-regulation of prejudiced responses: Implications for progress in prejudice-reduction efforts.. Journal of Personality and Social Psychology, 65, 469. https://doi.org/10.1037%2F0022-3514.65.3.469
Moreu, G., Isenberg, N., & Brauer, M. (2021). How to promote diversity and inclusion in educational settings: behavior change, climate surveys, and effective pro-diversity initiatives. Frontiers in Education, 6, 253. https://doi.org/10.3389/feduc.2021.668250
Moss-Racusin, C. A., Dovidio, J. F., Brescoll, V. L., Graham, M. J., & Handelsman, J. (2012). Science faculty’s subtle gender biases favor male students. Proceedings of the National Academy of Sciences, 109(41), 16474-16479. https://doi.org/10.1073/pnas.1211286109
Murrar, S., Campbell, M. R., & Brauer, M. (2020). Exposure to peers’ pro-diversity attitudes increases inclusion and reduces the achievement gap. Nature Human Behaviour, 4(9), 889-897. https://doi.org/10.1038/s41562-020-0899-5
Myers, K. R., Tham, W. Y., Yin, Y. et al. (2020). Unequal effects of the COVID-19 pandemic on scientists. Nature Human Behaviour, 4, 880–883. https://doi.org/10.1038/s41562-020-0921-y
Myers, K. R., Tham, W. Y., Yin, Y., Cohodes, N., Thursby, J. G., Thursby, M. C., ... & Wang, D. (2020). Unequal effects of the COVID-19 pandemic on scientists. Nature Human Behaviour, 4(9), 880-883. https://doi.org/10.1038/s41562-020-0921-y
National Academies of Sciences, Engineering, and Medicine (2018). Sexual harassment of women: Climate, culture, and consequences in academic sciences, engineering, and medicine. Washington, DC: The National Academies Press. doi: https://doi.org/10.17226/24994.
National Academies of Sciences, Engineering, and Medicine. (2021). The impact of COVID-19 on the careers of women in academic sciences, engineering, and medicine. National Academies Press.
National Research Council (2010). Gender differences at critical transitions in the careers of science, engineering, and mathematics faculty. Washington, DC: The National Academies Press. https://doi.org/10.17226/12062.
National Science Foundation. (2019). Women, minorities, and persons with disabilities in science and engineering.
Nittrouer, C. L., Hebl, M. R., Ashburn-Nardo, L., Trump-Steele, R. C., Lane, D. M., & Valian, V. (2018). Gender disparities in colloquium speakers at top universities. Proceedings of the National Academy of Sciences, 115(1), 104-108. https://doi.org/10.1073/pnas.1708414115
Oliveira, D. F., Ma, Y., Woodruff, T. K., & Uzzi, B. (2019). Comparison of National Institutes of Health grant amounts to first-time male and female principal investigators. JAMA, 321(9), 898-900. https://doi.org/10.1001/jama.2018.21944
Oliveira, D. F., Ma, Y., Woodruff, T. K., & Uzzi, B. (2019). Comparison of National Institutes of Health grant amounts to first-time male and female principal investigators. Jama, 321(9), 898-900.
Page, S. (2008). The Difference. How the Power of Diversity Creates Better Groups, Firms, Schools, and Societies. Princeton University Press. https://doi.org/10.1515%2F9781400830282