Abstract
Women drop out of male-dominated majors (MDMs) at a higher rate than men (Blickenstaff 2005). Research is needed to better understand contextual factors in the major, such as social interactions in major classes, that may increase women’s engagement in MDMs and ultimately reduce attrition (Lawson et al. in Sex Roles 78:542–560, 2018). The present study examined whether women in MDMs differed from men in MDMs and women in gender-neutral majors (GNMs) in terms of (1) levels of daily student engagement in major classes; and (2) the association between daily social interactions in classes and student engagement. Daily data were collected from 120 students (40 women in MDMs, 40 men in MDMs, 40 women in GNMs) about social interactions (talking to a peer, interacting with a professor one-on-one, and class discussions) and student engagement (perceived performance, enjoyment, and feelings of comfort) in major classes at the end of the day over a two week period. Results indicated that women in MDMs reported lower levels of daily engagement in major classes, relative to their peers. Talking with a peer and class discussions were associated with higher levels of student engagement, but these associations were qualified by group. Overall, the daily association between social experiences and student engagement were stronger for women in MDMs, relative to their peers. Results support the social-contextual model of prejudice (Murphy et al in Policy Insights Behav Brain Sci 5:66–74, 2018) in that classroom experiences disadvantaged women in MDMs, but daily social interactions may be particularly beneficial for women in these contexts.
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References
Apfelbaum, E. (1993). Norwegian and French women in high leadership positions: The importance of cultural contexts upon gendered relations. Psychology of Women Quarterly, 17(4), 409–429. https://doi.org/10.1111/j.1471-6402.1993.tb00653.x.
Almeida, D. M. (2005). Resilience and vulnerability to daily stressors assessed via diary methods. Current Directions in Psychological Science, 14, 64–68. https://doi.org/10.1111/j.0963-7214.2005.00336.x.
Almeida, D. M., Davis, K. D., Lee, S., Lawson, K. M., Walter, K. N., & Moen, P. (2016). Supervisor support buffers daily psychological and physiological reactivity to work-to-family conflict. Journal of Marriage and Family, 78, 165–179. https://doi.org/10.1111/jomf.12252.
Blickenstaff, J. C. (2005). Women and science careers: Leaky pipeline or gender filter? Gender and Education, 17(4), 369–386. https://doi.org/10.1080/09540250500145072.
Bowman, N. A. (2010). College diversity experiences and cognitive development: A meta-analysis. Review of Educational Research, 80, 4–33. https://doi.org/10.3102/0034654309352495.
Bureau of Labor Statistics. (2019). Occupational Outlook Handbook. Retrieved from https://www.bls.gov/
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. https://doi.org/10.1007/s11199-018-0942-4.
Cech, E. A., & Blair-Loy, M. (2019). The changing career trajectories of new parents in STEM. PNAS, 116(10), 4182–4187. https://doi.org/10.1073/pnas.1810862116.
Charles, S. T., Piazza, J. R., Mogle, J., Sliwsinksi, M. J., & Almeida, D. M. (2013). The wear and tear of daily stressors on mental health. Psychological Science, 24(5), 733–741. https://doi.org/10.1177/0956797612462222.
Cheryan, S., Drury, B., & Vichayapai, M. (2012). Enduring influence of stereotypical computer science role models on women's academic aspirations. Psychology of Women Quarterly, 37(1), 72–79. https://doi.org/10.1177/0361684312459328.
Cheryan, S., Meltzoff, A. N., & Kim, S. (2011). Classrooms matter: The design of virtual classrooms influences gender disparities in computer science classes. Computers & Education, 57(2), 1825–1835. https://doi.org/10.1016/j.compedu.2011.02.004.
Cheryan, S., Plaut, V. C., Handron, C., & Hudson, L. (2013). The stereotypical computer scientist: Gendered media representations as a barrier to inclusion for women. Sex Roles, 69, 58–71. https://doi.org/10.1007/s11199-013-0296-x.
Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35. https://doi.org/10.1037/bul0000052.
Corbett, C., & Hill, C. (2015). Solving the equation: The variables for women’s success in engineering and computing. Washington, DC: AAUW.
Cortina, J. M., & Landis, R. S. (2009). When small effect sizes tell a big story, and when large effect sizes don’t. In C. E. Lance & R. J. Vandenberg (Eds.), Statistical and methodological myths and urban legends (pp. 287–308). New York: Routledge.
Delgado, M. Y., Ettekal, A. V., Simpkins, S. D., & Schaefer, D. R. (2016). How do my friends matter? Examining Latino adolescents’ friendships, school belonging, and academic achievement. Journal of Youth and Adolescence, 45, 1110–1125. https://doi.org/10.1007/10964-015-0341-x.
Espinosa, L. L. (2011). Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence. Harvard Educational Review, 81(2), 209–240.
Furrer, C. J., Skinner, E. A., & Pitzer, J. R. (2014). The influence of teacher and peer relationships on students’ classroom engagement and everyday motivational resilience. In D. J. Shernoff & J. Bempechat (Eds.), Engaging youth in schools: Empirically-based models to guide future innovations (pp. 101–123). New York: Teachers College Press.
Hegewisch, A., & Hartmann, H. (2014). Occupational segregation and the gender wage gap: A job half done. Retrieved from https://digitalcommons.ilr.cornell.edu/cgi/viewcontent.cgi?article=2593&context=key_workplace
Hofmann, W., & Patel, P. V. (2014). A convenient solution for experience sampling research using participants’ own smartphones. Social Science Computer Review, 33(2), 235–253. https://doi.org/10.1177/0894439314525117.
Hultin, M., & Szulkin, R. (2003). Mechanisms of inequality: Unequal access to organizational power and the gender wage gap. European Sociological Review, 19(2), 143–159. https://doi.org/10.1093/esr/19.2.143.
Isphording, I., & Qendria, P. (2019). Gender differences in student dropout in STEM. IZA Research Reports No. 87. Retrieved from https://ftp.iza.org/report_pdfs/iza_report_87.pdf
Kahu, E. R. (2013). Framing student engagement in higher education. Studies in Higher Education, 38(5), 758–773. https://doi.org/10.1080/03075079.2011.598505.
Kanny, M. A., Sax, L. J., & Riggers-Piehl, T. A. (2014). Investigating forty years of STEM research: How explanations for the gender gap have evolved over time. Journal of Women and Minorities in Science and Engineering, 20(2), 127–148. https://doi.org/10.1615/JWomenMinorScienEng.2014007246.
Kemelgor, C., & Etzkowitz, H. (2001). Overcoming isolation: Women’s dilemmas in American academic science. Minerva, 39(2), 153–174.
Kim, Y. K., & Sax, L. J. (2009). Student-faculty interaction in research universities: Differences in student gender, race, social class, and first-generation status. Research in Higher Education, 50, 437–459. https://doi.org/10.1007/s11162-009-9127-x.
Lawson, K. M. (2020). An examination of daily experiences of sexism and reactivity among women in U.S. male-dominated academic majors using experience sampling methodology. Sex Roles. https://doi.org/10.1007/s11199-020-01135-z.
Lawson, K. M. (in press). Women’s daily positive experiences and engagement in U.S. male-dominated academic majors. Manuscript accepted for publication at Journal of College Student Development.
Lawson, K. M., Kooiman, L. Y., & Kuchta, O. (2018). Professors’ behaviors and attributes that promote U.S. women’s success in male-dominated academic majors: Results from a mixed methods study. Sex Roles, 78, 542–560. https://doi.org/10.1007/s11199-017-0809-0.
Leaper, C. (2014). Do I belong?: Gender, peer groups, and STEM achievement. International Journal of Gender, Science and Technology, 7(2), 166–179.
London, B., Rosenthal, L., & Gonzalez, A. (2011a). Assessing the role of gender rejection sensitivity, identity, and support on the academic engagement of women in nontraditional fields using experience sampling methods. Journal of Social Issues, 67(3), 510–530. https://doi.org/10.1111/j.1540-4560.2011.01712.x.
London, B., Rosenthal, L., Levy, S. R., & Lobel, M. (2011b). The influences of perceived identity compatibility and social support on women in nontraditional fields during the college transition. Basic and Applied Social Psychology, 33, 304–321. https://doi.org/10.1080/01973533.2011.614166.
Lundberg, C. A., & Schreiner, L. A. (2004). Quality and frequency of faculty-student interaction as predictors of learning: An analysis by student race/ethnicity. Journal of College Student Development, 45(5), 549–565.
Mastekaasa, A., & Smeby, J. (2008). Education choice and persistence in male- and female-dominated fields. Higher Education, 55, 189–202. https://doi.org/10.1007/s10734-006-9042-4.
McFaul, S. (2016). International students’ social network: Network mapping to gage friendship formation and student engagement on campus. Journal of International Students, 6(1), 1–13.
Meyer, M., Cimpian, A., & Leslie, S. J. (2015). Women are underrepresented in fields where success is believed to require brilliance. Frontiers in Psychology, 6, 1–12. https://doi.org/10.3389/fpsyg.2015.00235.
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. PNAS, 109(41), 16474–16479. https://doi.org/10.1073/pnas.1211286109.
Murphy, M. C., Kroeper, K. M., & Ozier, E. (2018). Prejudiced places: How contexts shape inequality and how we can change them. Policy insights from the Behavioral and Brain Sciences, 5, 66–74. https://doi.org/10.1177/2372732217748671.
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(10), 879–885.
Ong, M., Wright, C., Espinosa, L. L., & Orfield, G. (2011). Inside the double bind: A synthesis of research on undergraduate and graduate women of color in science, technology, engineering, and mathematics. Harvard Educational Review, 81(2), 172–208.
Pascarella, E. T., Martin, G. L., Hanson, J. M., Trolian, T. L., Gillig, B., & Blaich, C. (2014). Effects of diversity experiences on critical thinking skills over 4 years of college. Journal of College Student Development, 55(1), 86–92. https://doi.org/10.1353/csd.2014.0009.
Ross, J. A. (2006). The reliability, validity, and utility of self-assessment. Practical Assessment, Research & Evaluation, 11(10), 1–13. https://doi.org/10.7275/9wph-vv65.
Sharpe, D. (2015). Your chi-square test is statistically significant: Now what? Practical Assessment, Research & Evaluation, 20(8), 1–10.
Shook, J. L., & Keup, J. R. (2012). The benefits of peer leader programs: An overview from the literature. New Directions for Higher Education, 157, 5–16. https://doi.org/10.1002/he.20002.
Smith, C. A. S. (2014). Assessing academic STEM women’s sense of isolation in the workplace. In P. J. Gilmer, B. Tansel, & M. H. Miller (Eds.), Alliances for advancing academic women: guidelines for collaborating in STEM fields. Rotterdam: SensePublishers.
Steele, C. M., Spencer, S. J., & Aronson, J. (2002). Contending with group image: The psychology of stereotype and social identity threat. Advances in Experimental Social Psychology, 34, 379–440. https://doi.org/10.1016/S0065-2601(02)80009-0.
Umbach, P. D., & Wawrzynski, M. R. (2005). Faculty do matter: The role of college faculty in student learning and engagement. Research in Higher Education, 46(2), 153–184. https://doi.org/10.1007/s11162-004-1598-1.
Wright, T. (2016). Women’s experience of workplace interactions in male-dominated work: The intersections of gender, sexuality, and occupational group. Gender, Work & Organization, 23(3), 348–362. https://doi.org/10.1111/gwao.12074.
Zirkel, S., Garcia, J. A., & Murphy, M. C. (2015). Experience-sampling research methods and their potential for education research. Educational Researcher, 44(1), 7–16. https://doi.org/10.3102/0013189X14566879.
Acknowledgements
This study was funded by Ball State University’s Aspire Internal Grant Program to Katie M. Lawson, principal investigator. The author thanks Rahissa Winningham, Adrianna Caballero, Marcy Beutlich, Charlie Jackson, Kendall Smith, and Krista Kranz for their help with survey testing and data collection.
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Lawson, K.M. Women’s Daily Performance, Enjoyment, and Comfort in Male-Dominated Majors: The Role of Social Interactions in Classes. Res High Educ 62, 478–497 (2021). https://doi.org/10.1007/s11162-020-09609-5
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DOI: https://doi.org/10.1007/s11162-020-09609-5