Abstract
Although many studies have examined gender and racial discrepancies in STEM participation, few have considered variation in the gendered construction of STEM across racial spaces. We applied a cultural psychological perspective to investigate whether variation in conceptions of gender identity across African American and European American settings resonates with variation in gendered constructions of science, technology, engineering, and mathematics (STEM) domains across predominantly white institutions (PWIs) and historically black colleges and universities (HBCUs). We further examined implications of engagement with virtual STEM departments across these school categories. In Study 1, independent coders rated website images as less masculine, and evaluated website climates more favorably, for physics and biology departments at HBCUs relative to PWIs. In Studies 2 and 3, we used these website images as stimuli in within- and between-subjects experiments. Participants gave more positive ratings for sense of belonging and perceived climate in response to images from physics departments at HBCUs than at PWIs; women rated physics departments at PWIs as higher in masculinity than those at HBCUs. We replicated these patterns in Study 3, and also found that lower sense of belonging due to exposure to images from PWI physics departments predicted less interest in pursuing STEM fields among women only. We discuss implications of our findings for understanding and addressing gender discrepancies in STEM participation.
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Notes
In total, 37% of the people depicted in PWI images were women, and 40% of the people depicted in HBCU images were women.
References
Adams, G., Garcia, D. M., Purdie-Vaughns, V., & Steele, C. M. (2006). The detrimental effects of a suggestion of sexism in an instruction situation. Journal of Experimental Social Psychology, 42, 602–615.
Adams, G., & Markus, H. R. (2004). Toward a conception of culture suitable for a social psychology of culture. In M. Schaller & C. S. Crandall (Eds.), The psychological foundations of culture (pp. 335–360). Erlbaum.
Branscombe, N. R., Ellemers, N., Spears, R., & Doosje, B. (1999). The context and content of social identity threat. In N. Ellemers, R. Spears, & B. Doosje (Eds.), Social identity: Context, commitment, content (pp. 35–58). Blackwell.
Carli, L. L., Alawa, L., Lee, Y., Zhao, B., & Kim, E. (2016). Stereotypes about gender and science: Women ≠ scientists. Psychology of Women Quarterly, 40, 244–260.
Casad, B. J., Petzel, Z. W., & Ingalls, E. A. (2019). A model of threatening academic environments predicts women STEM majors’ self-esteem and engagement in STEM. Sex Roles, 80, 469–488.
Cheryan, S. (2012). Understanding the Paradox in Math-Related Fields: Why Do Some Gender Gaps Remain While Others Do Not? Sex Roles, 66, 184–190.
Cheryan, S., & Meltzof f, A. N., & Kim, S. . (2011). Classrooms matter: The design of virtual classrooms influences gender disparities in computer science classes. Computers & Education, 57, 1825–1835.
Cheryan, S., & Plaut, V. C. (2010). Explaining underrepresentation: A theory of precluded interest. Sex Roles, 63, 475–488.
Cheryan, S., Plaut, V. C., Davies, P. G., & Steele, C. M. (2009). Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology, 97, 1045–1060.
Cole, E. R., & Zucker, A. N. (2007). Black and white women’s perspectives on femininity. Cultural Diversity & Ethnic Minority Psychology, 13, 1–9.
Diekman, A. B., Brown, E. R., Johnston, A. M., & Clark, E. K. (2010). Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers. Psychological Science, 21, 1051–1057.
Diekman, A. B., Clark, E. K., Johnston, A. M., Brown, E. R., & Steinberg, M. (2011). Malleability in communal goals and beliefs influences attraction to stem careers: Evidence for a goal congruity perspective. Journal of Personality and Social Psychology, 101, 902–918.
Eagly, A. H., & Steffen, V. J. (1984). Gender stereotypes stem from the distribution of women and men into social roles. Journal of Personality and Social Psychology, 46(4), 735–754.
Gharibyan, H., & Gunsaulus, S. (2006). Gender gap in computer science does not exist in one former Soviet republic: Results of a study. ACM SIGCSE Bulletin, 38, 222–226.
Hanson, S. L. (2006). African American women in science: Experiences from high school through the post-secondary years and beyond. In J. Bystydzienski & S. Bird (Eds.), Removing barriers: Women in academic science, technology, engineering, and mathematics (pp. 123–141). Indiana University Press.
Harper, S. R., Carini, R. M., Bridges, B. K., & Hayek, J. C. (2004). Gender differences in student engagement among African American undergraduates at historically Black colleges and universities. Journal of College Student Development, 45, 271–284.
Harris, A. C. (1996). African American and Anglo-American gender identities: An empirical study. Journal of Black Psychology, 22, 182–194.
Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. NY. Guilford Press.
Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Retrieved from http://files.eric.ed.gov/fulltext/ED509653.pdf.
Hurtado, S., Eagan, M. K., Tran, M. C., Newman, C. B., Chang, M. J., & Velasco, P. (2011). “We do science here”: Underrepresented students’ interactions with faculty in different college contexts. Journal of Social Issues, 67, 553–579.
Joseph, J. (2012). From one culture to another: Years one and two of graduate school for African American women in the STEM fields. International Journal of Doctoral Studies, 7, 125–142.
Kiefer, A. K., & Sekaquaptewa, D. (2007). Implicit stereotypes and women’s math performance: How implicit gender-math stereotypes influence women’s susceptibility to stereotype threat. Journal of Experimental Social Psychology, 43(5), 825–832.
Lagesen, V. A. (2008). A cyberfeminist utopia? Perceptions of gender and computer science among Malaysian women computer science students and faculty. Science, Technology & Human Values, 33, 5–27.
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.
Markus, H. R., & Hamedani, M. G. (2007). Sociocultural psychology: the dynamic interdependence among selFsystems and social systems. In S. Kitayama & D. Cohen (Eds.), Handbook of cultural psychology (pp. 3–39). Guilford.
Miller, D. I., Eagly, A. H., & Linn, M. C. (2015). Women’s representation in science predicts national gender-science stereotypes: Evidence from 66 nations. Journal of Educational Psychology, 107, 631–644.
Murphy, M. C., Steele, C. M., & Gross, J. J. (2007). Signaling threat how situational cues affect women in math, science, and engineering settings. Psychological Science, 18, 879–885.
National Science Board, National Science Foundation (2019). Higher Education in Science and Engineering. Science and Engineering Indicators 2020. Retrieved from https://ncses.nsf.gov/pubs/nsb20197/.
National Science Board, National Science Foundation (2020). Science and Engineering Indicators 2020: The State of U.S. Science and Engineering. Retrieved from https://ncses.nsf.gov/pubs/nsb20201/.
Nosek, B. A., & Smyth, F. L. (2011). Implicit social cognitions predict sex differences in math engagement and achievement. American Educational Research Journal, 48, 1124–1154.
Nosek, B., Smyth, F., Sriram, N., Lindner, N., 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.
O’Brien, L. T., Blodorn, A., Adams, G., Garcia, D. M., & Hammer, E. (2015). Ethnic variation in gender-STEM stereotypes and STEM participation: An intersectional approach. Cultural Diversity and Ethnic Minority Psychology, 21, 169–180.
Rainey, K., Dancy, M., Mickelson, R., Stearns, E., & Moller, S. (2018). Race and gender differences in how sense of belonging influences decisions to major in STEM. International Journal of STEM Education, 5, 10. https://doi.org/10.1186/s40594-018-0115-6
Riegle-Crumb, C., & King, B. (2010). Questioning a White male advantage in STEM: Examining disparities in college major by gender and race/ethnicity. Educational Researcher, 39, 656–664.
Settles, I. H. (2006). Use of an intersectional framework to understand Black women’s racial and gender identities. Sex Roles, 54, 589–601.
Soylu Yalcinkaya, N., & Adams, G. (2020). A cultural psychological model of cross-national variation in gender gaps in STEM participation. Personality and Social Psychology Review, 24(4), 345–370.
Spencer, S. J., Steele, C. M., & Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35, 4–28.
Steele, C. M. (1997). A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist, 52, 613–629.
Steele, C. M., Spencer, S. J., & Aronson, J. (2002). Contending with group image: The psychology of stereotype and social identity threat. In M. P. Zanna (Ed.), Advances in Experimental Social Psychology (Vol. 34, pp. 379–439). Academic Press.
Steinberg, M., & Diekman, A. B. (2018). Considering “why” to engage in STEM activities elevates communal content of STEM affordances. Journal of Experimental Social Psychology, 75, 107–114. https://doi.org/10.1016/j.jesp.2017.10.010
Su, R., Rounds, J., & Armstrong, P. I. (2009). Men and things, women and people: A meta-analysis of sex differences in interests. Psychological Bulletin, 135, 859–884.
Varma, R. (2009). Why I chose computer science? Women in India. AMCIS 2009 Proceedings. Retrieved from http://aisel.aisnet.org/amcis2009/413
Wolf, L. E. (2000). Women-friendly campuses: What five institutions are doing right. The Review of Higher Education, 23, 319–345.
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Soylu Yalcinkaya, N., Gravelin, C.R. & Adams, G. Gendered virtual environments of STEM fields: a cultural-ecological analysis of predominantly white and historically black institutions. Soc Psychol Educ 24, 361–386 (2021). https://doi.org/10.1007/s11218-021-09618-x
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DOI: https://doi.org/10.1007/s11218-021-09618-x