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    Wickersham, Kelly and Wang, Xueli 2016. What’s Life Got to Do With It? The Role of Life Experiences in Shaping Female Community College Students’ Transfer Intent in STEM Fields of Study. Community College Journal of Research and Practice, Vol. 40, Issue. 12, p. 1001.

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  • Print publication year: 2014
  • Online publication date: October 2014

13 - What happens to high-achieving females after high school?

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Summary

Abstract

Although progress has been made in reducing gender inequality in postsecondary education, in the US and in other countries, gender gaps remain in the science, technology, engineering, and mathematics (STEM) fields judged so critical to economic competitiveness. Using the Education Longitudinal Study of 2002, we examine the influence of young women and men’s secondary school experiences of on their subsequent courses of study in college. In particular, we use this large-scale study to examine the effect of the psychological indicators (such as deep interest or absorption in the subject matter) suggested to be important predictors of persistence in small-scale studies of women specializing in STEM fields at the postsecondary level. Focusing the analysis on high-achieving youth who have completed the secondary school STEM pipeline course sequences, we find that academic preparation in secondary school is the critically important consideration in keeping US boys on the STEM pipeline midway through their undergraduate postsecondary educational experience. African American boys who have completed these sequences are the most likely to declare STEM majors and Latino males are least likely, net of nativity status. For high-achieving girls on the whole, however, course taking is insufficient to keep them on the STEM pipeline. Their orientation toward mathematics and external supports from engaged family, school staff, and friends are powerful predictors of their persistence in STEM at the postsecondary level.

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Gender Differences in Aspirations and Attainment
  • Online ISBN: 9781139128933
  • Book DOI: https://doi.org/10.1017/CBO9781139128933
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References
Adelman, C. (1999). Answers in the toolbox: Academic intensity, attendance patterns, and bachelor’s degree attainment. US Department of Education, Office of Educational Research and Improvement. Washington, DC: Government Printing Office.
Adelman, C. (2006). The toolbox revisited: Paths to degree completion from high school through college. Washington, DC: US Department of Education.
Allensworth, E., Nomi, T., Montgomery, N., & Lee, V. E. (2009). College preparatory curriculum for all: Academic consequences of requiring algebra and English I for ninth graders in Chicago. Educational Evaluation and Policy Analysis, 31(4), 367–391.
American Association of University Women (AAUW). (2000). Tech-savvy: Educating girls in the new computer age. Washington, DC: American Association of University Women Educational Foundation.
Anderson-Rowland, M., Bernstein, B., & Russo, N. F. (2007). Encouragers and discouragers for domestic and international women in doctoral programs in engineering and computer science. Proceedings of the American Society for Engineering Education (ASEE) 2007 Annual Conference, Honolulu, Hawaii, June 2007. Retrieved October 19, 2010, from .
Baron-Cohen, S. (2009). Why so few women in math and science? In Sommers, C. (Ed.), The science on women and science. Washington, DC: American Enterprise Institute for Public Policy Research.
Bozick, R., & Ingels, S. J. (2007). Mathematics coursetaking and achievement at the end of high school: Evidence from the education longitudinal study of 2002 (ELS:2002) (NCES 2008–319). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, US Department of Education.
Bryk, A. S., & Raudenbush, S. W. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage Publications.
Burke, R. (2007). Women and minorities in STEM: A primer. In Burke, R. J. & Mattis, M. C. (Eds.), Women and minorities in science, technology, engineering and mathematics (pp. 3–27). Northampton, MA: Edward Elgar Publishing.
Carlone, H. (2004). The cultural production of science in reform-based physics: Girls’ access, participation, and resistance. Journal of Research in Science Teaching, 41(4), 392–414.
Cheryan, S., & Plaut, V. C. (2010). Explaining underrepresentation: A theory of precluded interest. Sex Roles, 63, 475–488. Retrieved October 19, 2010, from .
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(6), 1045–1060. Retrieved October 19, 2010, from .
Chhin, C. S., Bleeker, M. M., & Jacobs, J. E. (2008). Gender-typed occupational choices: The long-term impact of parents’ beliefs and expectations. In Watt, H. M. G. & Eccles, J. S. (Eds.), Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences (pp. 215–234). Washington, DC: American Psychological Association.
Correll, S. J. (2001). Gender and the career choice process: The role of biased self-assessments. The American Journal of Sociology, 106(6), 1691–1730.
Correll, S. J. (2004). Constraints into preferences: Gender, status, and emerging career aspirations. American Sociological Review, 69(1), 93–113.
Dalton, B., Ingels, S., Downing, J., & Bozick, R. (2007). Moving beyond the basics: Advanced mathematics and science coursetaking in the high school classes of 1982, 1992, and 2004 (NCES 2007–312). National Center for Education Statistics, Institute of Education Sciences, US Department of Education. Washington, DC: US Government Printing Office.
Dworkin, T. M., Kwolek-Folland, A., Maurer, V., & Schipani, C. A. (2008). Pathways to success for women scientists in higher education in the US. In Grenz, S., Kortendiek, B., Kriszio, M., & Löther, A. (Eds.), Gender equality programmes in higher education: International perspectives (pp. 69–86). Wiesbaden, Germany: VS Verlag.
Eccles, J., & Hoffman, L. (1984). Sex roles, socialization, and occupational behavior. In Stevenson, H. W. & Siegel, A. E. (Eds.), Child development research and social policy (Vol. 1, pp. 367). University of Chicago Press.
Eccles (Parsons), J. S., Adler, T., Futterman, R., Goff, S., Kaczala, C., Meece, J., et al. (1983). Expectancies, values, and academic behaviors. In Spence, J. T. (Ed.), Achievement and achievement motives: Psychological and sociological approaches (pp. 75–146). San Francisco, CA: W.H. Freeman.
Else-Quest, N. M., Hyde, J. S., & Linn, M. C. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136(1), 103–127. Retrieved October 19, 2010, from .
Farland-Smith, D. (2009). Exploring middle school girl’s science identities: Examining attitudes and perceptions of scientists when working “side-by-side” with scientists. School Science and Mathematics, 109(7), 415–427.
Geary, D. (1996). Sexual selection and sex differences in mathematical abilities. Behavioral and Brain Sciences, 19(2), 229–284.
Goldin, C., Katz, L., & Kuziemko, I. (2006). The homecoming of American college women: The reversal of the college gender gap. The Journal of Economic Perspectives, 20(4), 133–156.
Goodman, I., Cunningham, C., Lachapelle, C., Thompson, M., Bittinger, K., Brennan, R., et al. (2002). Final report of the Women’s Experiences in College Engineering Project. Cambridge, MA: Goodman Research Group.
Gunderson, E., Ramirez, G., Levine, S., & Beilock, S. (2012). The role of parents and teachers in the development of gender-related math attitudes. Sex Roles, 66(3), 153–166. doi: .
Hill, C., Corbett, C., & St. Rose, A. (2010). Why so few? Women in science, technology, engineering, and mathematics. Washington, DC: American Association of University Women.
Huston, A. C. (1985). The development of sex typing: Themes from recent research. Developmental Review, 5(1), 1–17.
Ingels, S., & Dalton, B. (2008). Trends among high school seniors, 1972–2004 (NCES 2008- 320). Washington, DC: National Center for Education Statistics, Institute for Education Sciences, US Department of Education.
Kao, G. (2004). Parental influences on the educational outcomes of immigrant youth. International Migration Review, 38(2), 427–449.
Jones, S., & Myhill, D. (2004). Seeing things differently: Teachers’ constructions of underachievement. Gender and Education, 16(4), 531–546. doi: .
Margolis, J., & Fisher, A. (2002). Unlocking the clubhouse: Women in computing. Cambridge, MA: MIT Press.
McDonough, P. (2004). The school-to-college transition: Challenges and prospects. Washington, DC: American Council on Education.
Mickelson, R. A. (1989). Why does Jane read and write so well? The anomaly of women’s achievement. Sociology of Education, 62(1), 47–63.
Mickelson, R. A. (2003). Gender, Bourdieu, and the anomaly of women’s achievement redux. Sociology of Education, 76(4), 373–375.
National Science Foundation (NSF). (2000). Land of plenty: Diversity as America’s competitive edge in science, engineering, and technology. Washington, DC: National Science Foundation.
National Science Foundation (NSF) (2009). Women, minorities, and persons with disabilities in science and engineering: 2009 (NSF 09-305). Arlington, VA: National Science Foundation.
Organisation for Economic Co-operation and Development. (2010). Education at a Glance 2010. Paris: OECD.
Perez-Felkner, L. (in press). Perceptions and Resilience in Underrepresented Students’ Pathways to College. [Feature Article]. Teachers College Record, 117(8), 1–69.
Rabe-Hesketh, S., & Skrondal, A. (2008). Multilevel and longitudinal modeling using Stata (2nd ed.). College Station, TX: Stata Corp.
Ridgeway, C. L., & Correll, S. J. (2004). Unpacking the gender system: A theoretical perspective on gender beliefs and social relations. Gender and Society, 18(4), 510–531.
Riegle-Crumb, C. (2006). The path through math: Course sequences and academic performance at the intersection of race-ethnicity and gender. American Journal of Education, 113(1), 101–122.
Riegle-Crumb, C. (2010). More girls go to college: Exploring the social and academic factors behind the female postsecondary advantage among Hispanic and white students. Research in Higher Education, 51, 573–593.
Rohlfing, J., Kube, E., Yabko, B., Murguia, E., Bekki, J., & Bernstein, B. (2009). Improving STEM doctoral students’ relationships with their advisors: Web-based training in interpersonal problem-solving skills. Proceedings of the American Society for Engineering Education (ASEE) 2009 Annual Conference. Retrieved October 19, 2010, from .
Schmidt, W. H., Cogan, L. S., Houang, R. T., & McKnight, C. (2009). Equality of educational opportunity: A myth or reality in US schooling. Lansing, MI: The Education Policy Center at Michigan State University.
Schneider, B. (2007). Forming a college going culture in US public high schools. Seattle, WA: Bill and Melinda Gates Foundation.
Schneider, B., & Stevenson, D. (1999). The ambitious generation: America’s teenagers, motivated but directionless. New Haven, CT: Yale University Press.
Schoon, I. (2010). Planning for the future: Changing education expectations in three British cohorts. Historical Social Research–Historische Sozialforschung, 35(2), 99–119.
Schoon, I., & Parsons, S. (2002). Teenage aspirations for future career and occupational outcomes. Journal of Vocational Behavior, 60(2), 262–288.
Singh, K., Allen, K. R., Scheckler, R., & Darlington, L. (2007). Women in computer-related majors: A critical synthesis of research and theory from 1994 to 2005. Review of Educational Research, 77(4), 500–533.
Smith, R. C. (2002). Gender, ethnicity, and race in school and work outcomes of second-generation Mexican-Americans. In Suarez-Orozco, M. M. & Paez, M. M. (Eds.), Latinos: Remaking America (pp. 110–125). Berkeley: University of California Press.
Stattin, H., & Kerr, M. (2000). Parental monitoring: A reinterpretation. Child Development, 71(4), 1072–1085.
Trusty, J., & Niles, S. G. (2003). High-school math courses and completion of the bachelor’s degree. Professional School Counseling, 7, 99–107.
US Department of Education, Office of Educational Research and Improvement. (1995). Findings from The Condition of Education 1995. No. 5: The Educational Progress of Women (NCES 95–768). Washington, DC: US Department of Education. Retrieved October 12, 2010, from .
Valenzuela, A. (1999). Subtractive schooling: US Mexican youth and the politics of caring. Albany, NY: State University of New York Press.
Vincent-Lancrin, S. (2008). The reversal of gender inequalities in higher education: An ongoing trend. In Organisation for Economic Co-operation and Development (Ed.). Higher education to 2030: Vol. 1: Demography (pp. 265–298). Paris: Organisation for Economic Co-operation and Development.
Wai, J., Cacchio, M., Putallaz, M., & Makel, M. C. (2010). Sex differences in the right tail of cognitive abilities: A 30 year examination. Intelligence, 38(4), 412–423. doi:
Wang, J. (1999). A structural model of student career aspiration and science education. Research in Schools, 6(1), 53–63.
Wang, J., & Staver, J. (2001). Examining relationships between factors of science education and student career aspirations. The Journal of Education Research, 94(5), 312–319.
Watt, H. M. G. (2008). What motivates females and males to pursue sex-stereotyped careers? In Watt, H. M. G. & Eccles, J. S. (Eds.), Gender and occupational outcomes: Longitudinal assessments of individual, social, and cultural influences (pp. 87–114). Washington, DC: American Psychological Association.