Abstract
The underrepresentation of girls and women in science, technology, engineering, and mathematics (STEM) fields is a continual concern for social scientists and policymakers. Using an international database on adolescent achievement in science, mathematics, and reading (N = 472,242), we showed that girls performed similarly to or better than boys in science in two of every three countries, and in nearly all countries, more girls appeared capable of college-level STEM study than had enrolled. Paradoxically, the sex differences in the magnitude of relative academic strengths and pursuit of STEM degrees rose with increases in national gender equality. The gap between boys’ science achievement and girls’ reading achievement relative to their mean academic performance was near universal. These sex differences in academic strengths and attitudes toward science correlated with the STEM graduation gap. A mediation analysis suggested that life-quality pressures in less gender-equal countries promote girls’ and women’s engagement with STEM subjects.
References
|
Burke, R. J., Mattis, M. C. (2007). Women and minorities in science, technology, engineering, and mathematics: Upping the numbers. Cheltenham, England: Edward Elgar. Google Scholar | |
|
Ceci, S. J., Ginther, D. K., Kahn, S., Williams, W. M. (2014). Women in academic science: A changing landscape. Psychological Science in the Public Interest, 15, 75–141. Google Scholar | SAGE Journals | ISI | |
|
Ceci, S. J., Williams, W. M. (2011). Understanding current causes of women’s underrepresentation in science. Proceedings of the National Academy of Sciences, USA, 108, 3157–3162. Google Scholar | Medline | ISI | |
|
Ceci, S. J., Williams, W. M., Barnett, S. M. (2009). Women’s underrepresentation in science: Sociocultural and biological considerations. Psychological Bulletin, 135, 218–261. Google Scholar | Medline | ISI | |
|
Cheryan, S., Ziegler, S. A., Montoya, A. K., Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143, 1–35. Google Scholar | Medline | |
|
Eccles, J. (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. Google Scholar | |
|
Eccles, J., Jacobs, J. E. (1986). Social forces shape math attitudes and performance. Signs, 11, 367–380. Google Scholar | ISI | |
|
Ellison, G., Swanson, A. (2010). The gender gap in secondary school mathematics at high achievement levels. Journal of Economic Perspectives, 28, 109–128. Google Scholar | |
|
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, 103–127. Google Scholar | Medline | ISI | |
|
Gardner, A. (2016). How important are GCSE choices when it comes to university? Retrieved from http://university.which.co.uk/advice/gcse-choices-university/how-important-are-gcse-choices-when-it-comes-to-university Google Scholar | |
|
Guiso, L., Monte, F., Sapienza, P., Zingales, L. (2008). Culture, gender, and math. Science, 320, 1164–1165. Google Scholar | Medline | ISI | |
|
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, 153–166. Google Scholar | ISI | |
|
Hyde, J. S., Mertz, J. E. (2009). Gender, culture, and mathematics performance. Proceedings of the National Academy of Sciences, USA, 106, 8801–8807. Google Scholar | Medline | ISI | |
|
Imai, K., Keele, L., Tingley, D. (2010). A general approach to causal mediation analysis. Psychological Methods, 15, 309–334. Google Scholar | Medline | ISI | |
|
Imai, K., Keele, L., Yamamoto, T. (2010). Identification, inference and sensitivity analysis for causal mediation effects. Statistical Science, 25(1), 51–71. Google Scholar | ISI | |
|
Lippa, R. A., Collaer, M. L., Peters, M. (2010). Sex differences in mental rotation and line angle judgments are positively associated with gender equality and economic development across 53 nations. Archives of Sexual Behavior, 39, 990–997. Google Scholar | Medline | ISI | |
|
National Science Foundation . (2017). Women, minorities, and persons with disabilities in science and engineering: 2017 (Special Report NSF 17-310). Arlington, VA: National Center for Science and Engineering Statistics. Google Scholar | |
|
OECD . (2016a). PISA 2015 assessment and analytical framework: Science, reading, mathematic and financial literacy. Paris, France: Author. Google Scholar | |
|
OECD . (2016b). PISA 2015 results: Excellence and equity in education (Vol. 1). Paris, France: Author. Google Scholar | |
|
Pinker, S. (2008). The sexual paradox: Men, women and the real gender gap. New York, NY: Simon & Schuster. Google Scholar | |
|
Pittau, M. G., Zelli, R., Gelman, A. (2010). Economic disparities and life satisfaction in European regions. Social Indicators Research, 96, 339–361. Google Scholar | ISI | |
|
Reilly, D. (2012). Gender, culture, and sex-typed cognitive abilities. PLOS ONE, 7(7), Article e39904. doi:10.1371/journal.pone.0039904 Google Scholar | ISI | |
|
Schmitt, D. P. (2015). The evolution of culturally-variable sex differences: Men and women are not always different, but when they are . . . It appears not to result from patriarchy or sex role socialization. In Shackelford, T. K., Hansen, R. D. (Eds.), The evolution of sexuality (pp. 221–256). London, England: Springer. Google Scholar | |
|
Stoet, G., Bailey, D. H., Moore, A. M., Geary, D. C. (2016). Countries with higher levels of gender equality show larger national sex differences in mathematics anxiety and relatively lower parental mathematics valuation for girls. PLOS ONE, 11(4), Article e0153857. doi:10.1371/journal.pone.0153857 Google Scholar | Medline | |
|
Stoet, G., Geary, D. C. (2015). Sex differences in academic achievement are not related to political, economic, or social equality. Intelligence, 48, 137–151. Google Scholar | ISI | |
|
Su, R., Rounds, J. (2016). All STEM fields are not created equal: People and things interests explain gender disparities across STEM fields. Frontiers in Psychology, 6, Article 189. doi:10.3389/fpsyg.2015.00189 Google Scholar | |
|
Tingley, D., Yamamoto, T., Hirose, K., Keele, L., Imai, K. (2014). Mediation: R package for causal mediation analysis. Journal of Statistical Software, 59(5). doi:10.18637/jss.v059.i05 Google Scholar | Medline | |
|
United Nations Development Programme . (2016). Human development report 2016. New York, NY: Palgrave Macmillan. Google Scholar | Crossref | |
|
Universities and Colleges Admissions Service . (2015). Tips on choosing A level subjects. Retrieved from https://www.ucas.com/sites/default/files/tips_on_choosing_a_levels_march_2015_0.pdf Google Scholar | |
|
Wang, M., Degol, J. (2013). Motivational pathways to STEM career choices: Using expectancy-value perspective to understand individual and gender differences in STEM fields. Developmental Review, 33, 304–340. Google Scholar | ISI | |
|
Wang, M., Eccles, J. S., Kenny, S. (2013). Not lack of ability but more choice: Individual and gender differences in choice of careers in science, technology, engineering, and mathematics. Psychological Science, 24, 770–775. Google Scholar | SAGE Journals | ISI | |
|
Williams, W. M., Ceci, S. J. (2015). National hiring experiments reveal 2:1 faculty preference for women on STEM tenure track. Proceedings of the National Academy of Sciences, USA, 112, 5360–5365. Google Scholar | Medline | |
|
World Economic Forum . (2015). The global gender gap report 2015. Geneva, Switzerland: Author. Google Scholar |


