Abstract
This longitudinal study explores three research questions. First, what is the prevalence of math and science gender stereotypes among high school students, their parents, and teachers? Second, are parents’ and teachers’ gender stereotypes related to adolescents’ stereotypes? And third, are adolescents’ gender stereotypes associated with their math and science identity and outcomes? We used a nationally representative U.S. sample (N = 22,190, 50% girls, 53% White, 22% Latinx, 13% Black) of adolescents surveyed at 9th and 11th grade, their parents, and teachers. Adolescents’ transcripts were also collected at the end of high school. Adolescent gender stereotypes became significantly more traditional from 9 to 11th grade. Parents were three times more likely to believe that males are better at math/science (compared to believing females are better), and we found significant positive relations between parents’ and adolescents’ stereotypes. Finally, adolescents’ math/science gender stereotypes were significantly related to their math/science identity, which in turn was related to their STEM outcomes over the course of high school. Our findings give insight to the development of academic gender stereotypes in adolescence, their potential precursors, and their relations to academic outcomes.
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Data is available via the National Center for Educational Statistics: https://nces.ed.gov/surveys/hsls09/.
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R package laavan for SEM modeling.
References
Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students’ identities, participation and aspirations in science, engineering, and medicine. Journal of Research in Science Teaching, 47(5), 564–582. https://doi.org/10.1002/tea.20353.
Bleeker, M. M., & Jacobs, J. E. (2004). Achievement in math and science: Do mothers’ beliefs matter 12 years later? Journal of Educational Psychology, 96(1), 97–109. https://doi.org/10.1037/0022-0663.96.1.97.
Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: Science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187–1218. https://doi.org/10.1002/tea.2023.
Casad, B. J., Hale, P., & Wachs, F. L. (2017). Stereotype threat among girls: Differences by gender identity and math education context. Psychology of Women Quarterly, 41(4), 513–529. https://doi.org/10.1177/0361684317711412.
Chang, M. J., Sharkness, J., Hurtado, S., & Newman, C. B. (2014). What matters in college for retaining aspiring scientists and engineers from underrepresented racial groups. Journal of Research in Science Teaching, 51(5), 555–580. https://doi.org/10.1002/tea.21146.
Chatard, A., Guimond, S., & Selimbegovic, L. (2007). “How good are you in math?” The effect of gender stereotypes on students’ recollection of their school marks. Journal of Experimental Social Psychology, 43(6), 1017–1024. https://doi.org/10.1016/j.jesp.2006.10.024.
Chemers, M. M., Zurbriggen, E. L., Syed, M., Goza, B. K., & Bearman, S. (2011). The role of efficacy and identity in science career commitment among underrepresented minority students. Journal of Social Issues, 67(3), 469–491. https://doi.org/10.1111/j.1540-4560.2011.01710.x.
Cheryan, S., Master, A., & Meltzoff, A. N. (2015). Cultural stereotypes as gatekeepers: Increasing girls’ interest in computer science and engineering by diversifying stereotypes. Frontiers in Psychology, 6, 49. https://doi.org/10.3389/fpsyg.2015.00049.
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.
Cross, W. E., & Cross, T. B. (2008). Theory, research, and models. In S. M. Quintana & C. McKown (Eds.), Handbook of race, racism, and the developing child (pp. 154–181). Hoboken: Wiley.
Cundiff, J. L., Vescio, T. K., Loken, E., & Lo, L. (2013). Do gender–science stereotypes predict science identification and science career aspirations among undergraduate science majors? Social Psychology of Education, 16(4), 541–554. https://doi.org/10.1007/s11218-013-9232-8.
Cvencek, D., Meltzoff, A. N., & Greenwald, A. G. (2011). Math–gender stereotypes in elementary school children. Child Development, 82(3), 766–779. https://doi.org/10.1111/j.1467-8624.2010.01529.x.
Eccles, J. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78–89. https://doi.org/10.1080/00461520902832368.
Eccles, J. S., Jacobs, J. E., & Harold, R. D. (1990). Gender role stereotypes, expectancy effects, and parents’ socialization of gender differences. Journal of Social Issues, 46(2), 183–201.
Eccles, J. S., & Wang, M. T. (2016). What motivates females and males to pursue careers in mathematics and science? International Journal of Behavioral Development, 40(2), 100–106. https://doi.org/10.1177/0165025415616201.
Eccles, J. S., & Wigfield, A. (2020). From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation. Contemporary Educational Psychology. https://doi.org/10.1016/j.cedpsych.2020.101859.
Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
Erikson, E. H. (1968). Identity: Youth and crisis. New York, NY: Norton.
Galdi, S., Mirisola, A., & Tomasetto, C. (2017). On the relations between parents’ and children’s implicit and explicit academic gender stereotypes. Psicologia Sociale, 12(2), 215–238.
Greenwald, A. G., Banaji, M. R., Rudman, L. A., Farnham, S. D., Nosek, B. A., & Mellott, D. S. (2002). A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. Psychological Review, 109(1), 3–25. https://doi.org/10.1037/0033-295X.109.1.3.
Gunderson, E. A., Ramirez, G., Levine, S. C., & Beilock, S. L. (2012). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, 66(3–4), 153–166. https://doi.org/10.1007/s11199-011-9996-2.
Hargreaves, M., Homer, M., & Swinnerton, B. (2008). A comparison of performance and attitudes in mathematics amongst the “gifted”. Are boys better at mathematics or do they just think they are? Assessment in Education: Principles, Policy and Practice, 15(1), 19–38.
Holder, K., & Kessels, U. (2017). Gender and ethnic stereotypes in student teachers’ judgments: A new look from a shifting standards perspective. Social Psychology of Education, 20(3), 471–490. https://doi.org/10.1007/s11218-017-9384-z.
Hsieh, T., Liu, Y., & Simpkins, S. D. (2019). Changes in united states Latino/a high school students’ science motivational beliefs: Within group differences across science subjects, gender, immigrant status, and perceived support. Frontiers in Psychology, 10, 12. https://doi.org/10.3389/fpsyg.2019.00380.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.
Ibrahim, J. G., & Molenberghs, G. (2009). Missing data methods in longitudinal studies: A review. Test, 18(1), 1–43. https://doi.org/10.1007/s11749-009-0138-x.
Keller, C. (2001). Effect of teachers’ stereotyping on students’ stereotyping of mathematics as a male domain. The Journal of Social Psychology, 141(2), 165–173. https://doi.org/10.1080/00224540109600544.
Kurtz-Costes, B., Copping, K. E., Rowley, S. J., & Kinlaw, C. R. (2014). Gender and age differences in awareness and endorsement of gender stereotypes about academic abilities. European Journal of Psychology of Education, 29(4), 603–618. https://doi.org/10.1007/s10212-014-0216-7.
Kurtz-Costes, B., Rowley, S. J., Harris-Britt, A., & Woods, T. A. (2008). Gender stereotypes about mathematics and science and self-perceptions of ability in late childhood and early adolescence. Merrill-Palmer Quarterly, 54(3), 386–409. https://doi.org/10.1353/mpq.0.0001.
Lauermann, F., Tsai, Y., & Eccles, J. S. (2017). Math-related career aspirations and choices within Eccles et al.’s expectancy–value theory of achievement-related behaviors. Developmental Psychology, 53(8), 1540–1559. https://doi.org/10.1037/dev0000367.
Leaper, C. (2015). Gender and social-cognitive development. In R. M. Lerner, L. S. Liben, & U. Muller (Eds.), Handbook of child psychology and developmental science, vol. 2: Cognitive processes (7th ed., pp. 806–853). New York: Wiley.
Leaper, C., & Brown, C. S. (2008). Perceived experiences with sexism among adolescent girls. Child Development, 79, 685–704. https://doi.org/10.1111/j.1467-8624.2008.01151.x.
Marcia, J. E. (1994). The empirical study of ego identity. In H. A. Bosma, T. G. Graafsma, H. D. Grotevant, & D. J. de Levita (Eds.), Identity and development: An interdisciplinary approach (pp. 67–80). Thousand Oaks, CA: Sage.
Martinot, D., Bagès, C., & Désert, M. (2012). French children’s awareness of gender stereotypes about mathematics and reading: When girls improve their reputation in math. Sex Roles, 66(3–4), 210–219. https://doi.org/10.1007/s11199-011-0032-3.
Master, A., Cheryan, S., Moscatelli, A., & Meltzoff, A. N. (2017). Programming experience promotes higher STEM motivation among first-grade girls. Journal of Experimental Child Psychology, 160, 92–106. https://doi.org/10.1016/j.jecp.2017.03.013.
Master, A., & Meltzoff, A. N. (2016). Building bridges between psychological science and education: Cultural stereotypes, STEM, and equity. Prospects, 46, 215–234. https://doi.org/10.1007/s11125-017-9391-z.
McDonald, R. P., & Ho, M. R. (2002). Principles and practice in reporting structural equation analyses. Psychological Methods, 7(1), 64–82. https://doi.org/10.1037/1082-989X.7.1.64.
McGuire, L., Mulvey, K. L., Goff, E., Irvin, M. J., Winterbottom, M., Fields, G. E., et al. (2020). STEM gender stereotypes from early childhood through adolescence at informal science centers. Journal of Applied Developmental Psychology. https://doi.org/10.1016/j.appdev.2020.101109.
Miller, D. I., Nolla, K. M., Eagly, A. H., & Uttal, D. H. (2018). The development of children’s gender-science stereotypes: A meta-analysis of 5 decades of U.S. draw-a-scientist studies. Child Development, 89(6), 1943–1955. https://doi.org/10.1111/cdev.13039.
Musto, M. (2019). Brilliant or bad: The gendered social construction of exceptionalism in early adolescence. American Sociological Review, 84(3), 369–393. https://doi.org/10.1177/0003122419837567.
National Center for Education Statistics (NCES). (2019). High school longitudinal study of 2009 user manuals. Washington, DC: Institute of Education Sciences. Retrieved from https://nces.ed.gov/surveys/hsls09/usermanuals.asp
National Science Foundation (NSF). (2017). Women, minorities, and persons with disabilities in science and engineering. Washington, DC: National Science Foundation. Retrieved from www.nsf.gov/statistics/wmpd/
Nürnberger, M., Nerb, J., Schmitz, F., Keller, J., & Sütterlin, S. (2016). Implicit gender stereotypes and essentialist beliefs predict preservice teachers’ tracking recommendations. Journal of Experimental Education, 84(1), 152–174. https://doi.org/10.1080/00220973.2015.1027807.
Passolunghi, M. C., Rueda Ferreira, T. I., & Tomasetto, C. (2014). Math–gender stereotypes and math-related beliefs in childhood and early adolescence. Learning and Individual Differences, 34, 70–76. https://doi.org/10.1016/j.lindif.2014.05.005.
Patterson, M. M., & Bigler, R. S. (2018). Effects of consistency between self and in-group on children’s views of self, groups, and abilities. Social Development, 27, 154–171. https://doi.org/10.1111/sode.12255.
Plante, I., de la Sablonnière, R., Aronson, J. M., & Théorêt, M. (2013). Gender stereotype endorsement and achievement-related outcomes: The role of competence beliefs and task values. Contemporary Educational Psychology, 38(3), 225–235. https://doi.org/10.1016/j.cedpsych.2013.03.004.
Régner, I., Steele, J. R., Ambady, N., Thinus-Blanc, C., & Huguet, P. (2014). Our future scientists: A review of stereotype threat in girls from early elementary school to middle school. Revue Internationale De Psychologie Sociale, 27(3–4), 13–51.
Romero, C., Master, A., Paunesku, D., Dweck, C. S., & Gross, J. J. (2014). Academic and emotional functioning in middle school: The role of implicit theories. Emotion, 14, 227–234. https://doi.org/10.1037/a0035490.
Rouland, K. K., Rowley, S. J., & Kurtz-Costes, B. (2013). Self-views of African-American youth are related to the gender stereotypes and ability attributions of their parents. Self and Identity, 12(4), 382–399. https://doi.org/10.1080/15298868.2012.682360.
Rowley, S. J., Kurtz-Costes, B., Mistry, R., & Feagans, L. (2007). Social status as a predictor of race and gender stereotypes in late childhood and early adolescence. Social Development, 16(1), 150–168. https://doi.org/10.1111/j.1467-9507.2007.00376.x.
Shanahan, M.-C. (2009). Identity in science learning: Exploring the attention given to agency and structure in studies of identity. Studies in Science Education, 45, 43–64.
Simpkins, S., Estrella, G., Gaskin, E., & Kloberdanz, E. (2018). Latino parents’ science beliefs and support of high school students’ motivational beliefs: Do the relations vary across gender and familism values? Social Psychology of Education, 21(5), 1203–1224. https://doi.org/10.1007/s11218-018-9459-5.
Simpkins, S. D., Fredricks, J. A., & Eccles, J. S. (2012). Charting the Eccles’ expectancy-value model from mothers’ beliefs in childhood to youths’ activities in adolescence. Developmental Psychology, 48(4), 1019–1032. https://doi.org/10.1037/a0027468.
Simpkins, S. D., Fredricks, J. A., & Eccles, J. S. (2015). Families, schools, and developing achievement-related motivations and engagement. In J. E. Grusec & P. H. Hasting (Eds.), Handbook of socialization: Theory and research (2nd ed., pp. 614–636). New York: Guilford Press.
Simpkins, S. D., Liu, Y., Hsieh, T., & Estrella, G. (2020). Supporting Latino high school students’ science motivational beliefs and engagement: Examining the unique and collective contributions of family, teachers, and friends. Educational Psychology, 40(4), 409–429. https://doi.org/10.1080/01443410.2019.1661974.
Smyth, F. L., & Nosek, B. A. (2015). On the gender–science stereotypes held by scientists: Explicit accord with gender-ratios, implicit accord with scientific identity. Frontiers in Psychology, 6, 19. https://doi.org/10.3389/fpsyg.2015.00415.
Soto-Lara, S., & Simpkins, S. D. (2020). Parent support of Mexican-descent high school adolescents’ science education: A culturally grounded framework. Journal of Adolescent Research. https://doi.org/10.1177/0743558420942478.
Starr, C. R. (2018). “I’m not a science nerd!”: STEM stereotypes, identity, and motivation among undergraduate women. Psychology of Women Quarterly, 42(4), 489–503. https://doi.org/10.1177/0361684318793848.
Starr, C. R., & Leaper, C. (2019). Do adolescents’ self-concepts moderate the relationship between STEM stereotypes and motivation? Social Psychology of Education. https://doi.org/10.1007/s11218-019-09515-4.
Steele, J. (2003). Children’s gender stereotypes about math: The role of stereotype stratification. Journal of Applied Social Psychology, 33(12), 2587–2606. https://doi.org/10.1111/j.1559-1816.2003.tb02782.
Steffens, M. C., & Jelenec, P. (2011). Separating implicit gender stereotypes regarding math and language: Implicit ability stereotypes are self-serving for boys and men, but not for girls and women. Sex Roles, 64(5–6), 324–335. https://doi.org/10.1007/s11199-010-9924-x.
Steinke, J., Lapinski, M. K., Crocker, N., Zietsman-Thomas, A., Williams, Y., Evergreen, S. H., & Kuchibhotla, S. (2007). Assessing media influences on middle school aged children’s perceptions of women in science using the draw-a-scientist test (DAST). Science Communication. https://doi.org/10.1177/1075547007306508.
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson.
Tenenbaum, H. R., & Leaper, C. (2002). Are parents’ gender schemas related to their children’s gender-related cognitions?, A meta-analysis. Developmental Psychology, 38(4), 615–630. https://doi.org/10.1037/0012-1649.38.4.615.
Tobin, D. D., Menon, M., Menon, M., Spatta, B. C., Hodges, E. V. E., & Perry, D. G. (2010). The intrapsychics of gender: A model of self-socialization. Psychological Review, 117(2), 601–622. https://doi.org/10.1037/a0018936.
Umaña-Taylor, A. J., Quintana, S. M., Lee, R. M., Cross, W. E., Rivas-Drake, D., Schwartz, S. J., & Seaton, E. (2014). Ethnic and racial identity during adolescence and into young adulthood: An integrated conceptualization. Child Development, 85(1), 21–39. https://doi.org/10.1111/cdev.12196.
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The research was supported by National Science Foundation Grant DRL-1760757 to Simpkins, S. D. (Principal Investigator), & Eccles, J.
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Use of the data was approved by University of California, Irvine Institutional Review Board under the project name “Family Support of Math and Science: Examining an Untapped Source of Resilience for Diverse High School Students” (protocol HS# 2018-4349).
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Starr, C.R., Simpkins, S.D. High school students’ math and science gender stereotypes: relations with their STEM outcomes and socializers’ stereotypes. Soc Psychol Educ 24, 273–298 (2021). https://doi.org/10.1007/s11218-021-09611-4
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DOI: https://doi.org/10.1007/s11218-021-09611-4