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Sex Roles

, Volume 66, Issue 3–4, pp 184–190 | Cite as

Understanding the Paradox in Math-Related Fields: Why Do Some Gender Gaps Remain While Others Do Not?

  • Sapna CheryanEmail author
Feminist Forum

Abstract

Despite the ubiquity of harmful math attitudes that disadvantage girls, girls are now performing just as well as boys in math in the U.S. (Hyde et al. 1990; Hyde et al. 2008). At the same time, stark gender disparities remain in who chooses to pursue math-related careers (National Science Foundation 2009). Why have gender disparities persisted in some math-related domains but not others? I suggest that considering the extent to which math-related domains are stereotyped as masculine can help explain why women do not seek out math-related careers, even as they perform just as well in math. Changing current stereotypes of math-related careers to make them less incongruent with the female gender role may help to recruit more women into these careers.

Keywords

Gender disparities Stereotypes Underrepresentation Gender roles Education 

Notes

Acknowledgments

Preparation of this article was supported by an NSF CAREER award (DRL-0845110). I thank Jenessa Shapiro and Kaiser-Cheryan lab members, especially Cheryl Kaiser and Martin Ryan, for their helpful feedback.

References

  1. Adler, P. A., Kless, S. J., & Adler, P. (1992). Socialization to gender roles: Popularity among elementary school boys and girls. Sociology of Education, 65, 169–187. doi: 10.2307/2112807.CrossRefGoogle Scholar
  2. Allport, G. W. (1954). The nature of prejudice. Oxford: Addison-Wesley.Google Scholar
  3. Barbercheck, M. (2001). Mixed messages: Men and women in advertisements in Science. In M. Wyer, M. Barbercheck, D. Geisman, H. O. Ozturk, & M. Wayne (Eds.), Women, science, and technology: A reader in feminist science studies (pp. 117–131). London: Routledge.Google Scholar
  4. Barman, C. (1999). Students’ views about scientists and school science: Engaging K-8 teachers in a national study. Journal of Science Teacher Education, 10, 43–54. doi: 10.1023/A:1009424713416.CrossRefGoogle Scholar
  5. Benbow, C. P., & Stanley, J. C. (1982). Consequences in high school and college of sex differences in mathematical reasoning ability: A longitudinal perspective. American Educational Research Journal, 19, 598–622. doi: 10.2307/1162546.Google Scholar
  6. Bodzin, A., & Gehringer, M. (2001). Breaking science stereotypes. Science and Children, 38, 36–41.Google Scholar
  7. Borg, A. (1999). What draws women to and keeps women in computing? The Annuals of the New York Academy of Sciences, 869, 102–105. doi: 10.1111/j.1749-6632.1999.tb08362.x.CrossRefGoogle Scholar
  8. Bridgeman, B., & Wendler, C. (1991). Gender differences in predictors of college mathematics performance and in college mathematics course grades. Journal of Educational Psychology, 83, 275–284. doi: 10.1037//0022-0663.83.2.275.CrossRefGoogle Scholar
  9. Buldu, M. (2006). Young children’s perceptions of scientists: A preliminary study. Educational Research, 48, 121–132. doi: 10.1080/00131880500498602.CrossRefGoogle Scholar
  10. Ceci, S. J., Williams, W. M., & Barnett, S. M. (2009). Women’s underrepresentation in science: Sociocultural and biological considerations. Psychological Bulletin, 135, 218–261. doi: 10.1037/a0014412.PubMedCrossRefGoogle Scholar
  11. Cejka, M. A., & Eagly, A. H. (1999). Gender-stereotypic images of occupations correspond to the sex segregation of employment. Personality and Social Psychology Bulletin, 25, 413–423. doi: 10.1177/0146167299025004002.CrossRefGoogle Scholar
  12. Chambers, D. W. (1983). Stereotypic images of the scientist: The draw a scientist test. Science Education, 67, 255–265. doi: 10.1002/sce.3730670213.CrossRefGoogle Scholar
  13. 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. doi: 10.1037/a0016239.PubMedCrossRefGoogle Scholar
  14. Cheryan, S., Drury, B. J., & Vichayapai, M. (2011a). Enduring influence of STEM-stereotypic role models on women’s academic aspirations. Unpublished manuscript.Google Scholar
  15. Cheryan, S., Meltzoff, A. N., & Kim, S. (2011b). Classrooms matter: The design of virtual classrooms influences gender disparities in computer science classes. Computers & Education, 57, 1825–1835. doi: 10.1016/j.compedu.2011.02.004.CrossRefGoogle Scholar
  16. Cheryan, S., Siy, J. O., Vichayapai, M., Drury, B. J., & Kim, S. (2011c). Do female and male role models who embody STEM stereotypes hinder women’s anticipated success in STEM? Social Psychology and Personality Science. Advance online publication. doi: 10.1177/1948550611405218.
  17. Cohoon, J. M. (2011). Design physical space that has broad appeal. Promising Practices. Retrieved from http://www.ncwit.org/images/practicefiles/DesignPhysicalSpaceBroadAppeal_AffectingWomensEntryPersistenceComputingPhysicalSpace_WEB.pdf.
  18. Congressional Commission on the Advancement of Women and Minorities in Science, Engineering and Technology Development (2000). The land of plenty: Diversity as America’s competitive edge in science, engineering and technology. Retrieved from http://www.nsf.gov/od/cawmset.
  19. Correll, S. J. (2001). Gender and the career choice process: The role of biased self-assessments. American Journal of Sociology, 106, 1691–1730. doi: 10.1086/321299.CrossRefGoogle Scholar
  20. Darves, B. (2005). Women in medicine force change in workforce dynamics. New England Journal of Medicine Retrieved from http://www.nejmjobs.org/career-resources/women-in-medicine.aspx.
  21. Davies, P. G., Spencer, S. J., Quinn, D. M., & Gerhardstein, R. (2002). Consuming images: How television commercials that elicit stereotype threat can restrain women academically and professionally. Personality and Social Psychology Bulletin, 28, 1615–1628. doi: 10.1177/014616702237644.CrossRefGoogle Scholar
  22. Diekman, A. B., & Eagly, A. H. (2000). Stereotypes as dynamic constructs: Women and men of the past, present, and future. Personality and Social Psychology Bulletin, 26, 1171–1188. doi: 10.1177/0146167200262001.CrossRefGoogle Scholar
  23. Diekman, A. B., & Eagly, A. H. (2008). Of men, women, and motivation: A role congruity account. In J. Y. Shah & W. L. Gardner (Eds.), Handbook of motivation science (pp. 434–447). New York: Guilford.Google Scholar
  24. Diekman, A. B., Brown, E., Johnston, A., & Clark, E. (2010). Seeking congruity between goals and roles: A new look at why women opt out of STEM careers. Psychological Science, 21, 1051–1057. doi: 10.1177/0956797610377342.PubMedCrossRefGoogle Scholar
  25. Eagly, A. H. (1987). Sex differences in social behavior: A social-role interpretation. Hillsdale: Lawrence Erlbaum Associates, Inc.Google Scholar
  26. Eagly, A. H., & Carli, L. L. (2007). Through the labyrinth: The truth about how women become leaders. Boston: Harvard Business.Google Scholar
  27. 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, 735–754. doi: 10.1037//0022-3514.46.4.735.CrossRefGoogle Scholar
  28. Eagly, A. H., & Wood, W. (1999). The origins of sex differences in human behavior: Evolved dispositions versus social roles. American Psychologist, 54, 408–423. doi: 10.1037//0003-066X.54.6.408.CrossRefGoogle Scholar
  29. Eccles, J. S. (1986). Gender-roles and women’s achievement. Educational Researcher, 15, 15–19. doi: 10.2307/1175495.Google Scholar
  30. Epstein, D. (1998). Real boys don’t work: ‘Underachievement’, masculinity and the harassment of ‘sissies’. In D. Epstein, J. Elwood, V. Hey, & J. Maw (Eds.), Failing boys (pp. 96–108). Buckingham: Open University Press.Google Scholar
  31. Epstein, D., Elwood, J., Hey, V., & Maw, J. (1998). Failing boys? Issues in gender and achievement. Buckingham: Open University Press.Google Scholar
  32. Finson, K. D. (2003). Applicability of the DAST-C to the images of scientists drawn by students of different racial groups. Journal of Elementary Science Education, 15, 15–26. doi: 10.1007/BF03174741.CrossRefGoogle Scholar
  33. Finson, K. D., Beaver, J. B., & Cramond, B. L. (1995). Development and field test of a checklist for the Draw A Scientist Test. School Science and Mathematics, 95, 195–205. doi: 10.1111/j.1949-8594.1995.tb15762.x.CrossRefGoogle Scholar
  34. Flick, L. (1990). Scientists in residence program improving children’s image of science and scientists. School Science and Mathematics, 90, 204–214. doi: 10.1111/j.1949-8594.1990.tb15536.x.CrossRefGoogle Scholar
  35. Fort, D. C., & Varney, H. L. (1989). How students see scientists: Mostly male, mostly white, and mostly benevolent. Science and Children, 26, 8–13.Google Scholar
  36. Guan, A., & Jain, R. (2011, April 20). Record number of women declare CS. The Harvard Crimson. Retrieved from http://www.thecrimson.com/article/2011/4/20/female-computer-science-concentrators.
  37. Gunderson, E. A., Ramirez, G., Levine, S. C., & Beilock, S. L. (2011). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, this issue. doi: 10.1007/s11199-011-9996-2.
  38. Hakim, C. (2000). Work-lifestyle choices in the 21st century: Preference theory. New York: Oxford University Press.Google Scholar
  39. Heilman, M. E. (1983). Sex bias in work settings: The lack of fit model. Research in Organizational Behavior, 5, 269–298.Google Scholar
  40. Hyde, J. S., Fennema, E., & Lamon, S. J. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107, 139–155. doi: 10.1037//0033-2909.107.2.139.PubMedCrossRefGoogle Scholar
  41. Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008). DIVERSITY: Gender similarities characterize math performance. Science, 321, 494–495. doi: 10.1126/science.1160364.PubMedCrossRefGoogle Scholar
  42. Inzlicht, M., & Ben-Zeev, T. (2000). A threatening intellectual environment: Why females are susceptible to experiencing problem-solving deficits in the presence of males. Psychological Science, 11, 365–371. doi: 10.1111/1467-9280.00272.PubMedCrossRefGoogle Scholar
  43. Jones, M. G., Howe, A., & Rua, M. J. (2000). Gender differences in students’ experiences, interests, and attitudes toward science and scientists. Science Education, 84, 180–192. doi:10.1002/(SICI)1098-237X(200003)84:2<180::AID-SCE3>3.0.CO;2-X.CrossRefGoogle Scholar
  44. Katz, D., & Braly, K. (1933). Racial stereotypes of one hundred college students. Journal of Abnormal and Social Psychology, 28, 280–290. doi: 10.1037/h0074049.CrossRefGoogle Scholar
  45. Kendall, L. (1999). Nerd nation: Images of nerds in US popular culture. International Journal of Cultural Studies, 2, 260–283. doi: 10.1177/136787799900200206.CrossRefGoogle Scholar
  46. Kimball, M. M. (1989). A new perspective on women’s math achievement. Psychological Bulletin, 105, 198–214. doi: 10.1037//0033-2909.105.2.198.CrossRefGoogle Scholar
  47. Lippa, R. (1998). Gender-related individual differences and the structure of vocational interests: The importance of the people–things dimension. Journal of Personality and Social Psychology, 74, 996–1009. doi: 10.1037//0022-3514.74.4.996.PubMedCrossRefGoogle Scholar
  48. Lippman, W. (1922). Public opinion. New York: Harcourt Brace.Google Scholar
  49. Marsh, H. W., & Yeung, A. S. (1998). Longitudinal structural equation models of academic self-concept and achievement: Gender differences in the development of math and English constructs. American Educational Research Journal, 35, 705–738. doi: 10.2307/1163464.Google Scholar
  50. Misa, T. J. (2010). Gender codes: Why women are leaving computing. Hoboken: Wiley.CrossRefGoogle Scholar
  51. Morgan, C., Isaac, J. D., & Sansone, C. (2001). The role of interest in understanding the career choices of female and male college students. Sex Roles, 44, 295–320. doi: 10.1023/A:1010929600004.CrossRefGoogle Scholar
  52. 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. doi: 10.1111/j.1467-9280.2007.01995.x.PubMedCrossRefGoogle Scholar
  53. National Academy of Engineering of the National Academies, Committee on Public Understanding of Engineering Messages (2008). Changing the conversation: Messages for improving public understanding of engineering. Washington, DC: The National Academies Press.Google Scholar
  54. National Center for Education Statistics. (2001). Postsecondary Institutions in the United States: Fall 2000 and Degrees and Other Awards Conferred: 1999–2000, NCES 2002–156. Washington, DC: U.S. Department of Education.Google Scholar
  55. National Science Foundation. (2009). TABLE C-4. Bachelor’s degrees, by sex and field: 1997–2006. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2009, Division of Science Resource Statistics. Retrieved from http://www.nsf.gov/statistics/wmpd/tables.cfm.
  56. Newton, L. D., & Newton, D. P. (1988). Primary children’s conceptions of science and the scientist: Is the impact of a National Curriculum breaking down the stereotype? International Journal of Science Education, 20, 1137–1149. doi: 10.1080/0950069980200909.CrossRefGoogle Scholar
  57. Oakes, P. J., Haslam, S. A., & Turner, J. C. (1994). Stereotyping and social reality. Malden: Blackwell.Google Scholar
  58. Phillips, S. P., & Austin, E. B. (2009). The feminization of medicine and population health. JAMA: The Journal of the American Medical Association, 301, 863–864. doi: 10.1001/jama.2009.155.CrossRefGoogle Scholar
  59. Pion, G. M., & Lipsey, M. W. (1981). Public attitudes toward science and technology: What have the surveys told us? Public Opinion Quarterly, 45, 303–316. doi: 10.1086/268666.PubMedCrossRefGoogle Scholar
  60. Pollack, W. S. (1999). Real boys: Rescuing our sons from the myths of boyhood. New York: Owl Books.Google Scholar
  61. Poole, G. (1994). How to manage your nerds. Forbes, 154, 132.Google Scholar
  62. Ridgeway, C. L. (2011). Framed by gender: How gender inequality persists in the modern world. New York: Oxford University Press.Google Scholar
  63. Rosin, H. (2011, June 9). The End of Men. The Atlantic, Retrieved from http://www.theatlantic.com/magazine/archive/2010/05/the-end-of-men/8135/.
  64. Sandberg, C. (2009). Facebook COO Sheryl Sandberg: Unedited. Retrieved from http://postcards.blogs.fortune.cnn.com/2009/10/05/facebook-coo-sheryl-sandberg-unedited/.
  65. Schibeci, R. A. (1986). Images of science and scientists and science education. Science Education, 70, 139–149. doi: 10.1002/sce.3730700208.CrossRefGoogle Scholar
  66. Schibeci, R. A., & Sorensen, I. (1983). Elementary school children’s perceptions of scientists. School Science and Mathematics, 83, 14–20. doi: 10.1002/sce.3730670508.CrossRefGoogle Scholar
  67. Sekaquaptewa, D., & Thompson, M. (2003). Solo status, stereotype threat, and performance expectancies: Their effects on women’s performance. Journal of Experimental Social Psychology, 39, 68–74. doi: 10.1016/S0022-1031(02)00508-5.CrossRefGoogle Scholar
  68. Skelton, C. (2001). Schooling the boys: Masculinities and primary education. Florence: Taylor & Francis.Google Scholar
  69. Smith, W. S., & Erb, T. O. (1986). Effect of women science career role models on early adolescents. Journal of Research in Science Teaching, 23, 667–676. doi: 10.1002/tea.3660230802.CrossRefGoogle Scholar
  70. 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. doi: 10.1006/jesp.1998.1373.CrossRefGoogle Scholar
  71. Steele, J. (2003). Children’s gender stereotypes about math: The role of stereotype stratification. Journal of Applied Social Psychology, 33, 2587–2606. doi: 10.1111/j.1559-1816.2003.tb02782.x.CrossRefGoogle Scholar
  72. Steinke, J. (2005). Cultural representations of gender and science. Science Communication, 27, 27–63. doi: 10.1177/1075547005278610.CrossRefGoogle Scholar
  73. Steinke, J., Lapinski, M. K., Crocker, N., Zietsman-Thomas, A., Williams, Y., Evergreen, S. H., et al. (2007). Assessing media influences on middle school–aged children’s perceptions of women in science using the Draw-A-Scientist Test (DAST). Science Communication, 29, 35–64. doi: 10.1177/1075547007306508.CrossRefGoogle Scholar
  74. Stockard, J., & Wood, J. W. (1984). The myth of female underachievement: A reexamination of sex differences in academic underachievement. American Educational Research Journal, 21, 825–838. doi: 10.2307/1163004.Google Scholar
  75. Stout, J. G., Dasgupta, N., Hunsinger, M., & McManus, M. (2011). STEMing the tide: Using ingroup experts to inoculate women’s self-concept and professional goals in science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology, 100, 255–270. doi: 10.1037/a0021385.PubMedCrossRefGoogle Scholar
  76. The Council of Economic Advisers. (2000). Opportunities and gender pay equity in new economy occupations. Retrieved from http://clinton3.nara.gov/WH/EOP/CEA/html/whitepapers.html.
  77. Tittle, C. K. (1986). Gender research and education. American Psychologist, 41, 1161. doi: 10.1037//0003-066X.41.10.1161.CrossRefGoogle Scholar
  78. Twenge, J. M. (1997). Changes in masculine and feminine traits over time: A meta-analysis. Sex Roles, 36, 305–325. doi: 10.1007/BF02766650.CrossRefGoogle Scholar
  79. U.S. Department of Education. (2006). National Center for Education Statistics. 2005–06 Integrated Postsecondary Education Data System (IPEDS), Retrieved from http://nces.ed.gov/programs/digest/d07/tables/dt07_275.asp.
  80. Van Houtte, M. (2004). Why boys achieve less at school than girls: The difference between boys’ and girls’ academic culture. Educational Studies, 30, 159–173. doi: 10.1080/0305569032000159804.CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of PsychologyUniversity of WashingtonSeattleUSA

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