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Chapter 3 - Culture, Sex, and Intelligence

Published online by Cambridge University Press:  06 January 2018

By
Stephen J. Ceci ,
Donna K. Ginther ,
Shulamit Kahn  and
Wendy M. Williams
Edited by
Robert J. Sternberg
Robert J. Sternberg
Affiliation:
Cornell University, New York
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The Nature of Human Intelligence , pp. 30 - 48
Publisher: Cambridge University Press
Print publication year: 2018

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References

Andreescu, T., Gallian, J. A., Kane, J., & Mertz, J. E. (2008). Cross-cultural analysis of students with exceptional talent in mathematical problem solving. Notices of the American Mathematical Society, 55, 1248–1260.Google Scholar
Antecol, H., Eren, O., & Ozbeklik, S. (2015). The effect of teacher gender on student achievement in primary school. Journal of Labor Economics, 33(1), 63–89.CrossRefGoogle Scholar
Auyeung, B., Lombardo, M. V., & Baron-Cohen, S. (2013). Prenatal and postnatal hormone effects on the human brain and cognition. Pflügers Archiv-European Journal of Physiology, 465, 557–571. doi:10.1007/s00424-013-1268-2.CrossRefGoogle ScholarPubMed
Beilock, L. S., Gunderson, E. A., Ramirez, G., & Levine, S. C. (2009). Female teachers’ math anxiety affects girls’ math achievement. Proceedings of the National Academy of Sciences, 107(5), 1860–1863.CrossRefGoogle Scholar
Bian, L., Leslie, S.-J., & Cimpian, A. (2017). Gender stereotypes about intellectual ability emerge early and influence children’s interests. Science, 355, 389–391.CrossRefGoogle ScholarPubMed
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent. Child Development, 78(1), 246–263.CrossRefGoogle ScholarPubMed
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, http://psi.sagepub.com/content/15/3/75.abstract?patientinform-links=yes&legid=sppsi;15/3/75. doi:10.1177/1529100614541236.CrossRefGoogle Scholar
Ceci, S. J. & Williams, W. M. (2007). Sex differences in cognition: Moving closer and closer apart. In Ceci, S. J. & Williams, W. M. (Eds.). Do women belong in science?: Eminent thinkers weigh the evidence. (pp. 213–236). Washington, DC: American Psychological Association Books.Google Scholar
Ceci, S. J. & Williams, W. M. (2010a). The mathematics of sex: How biology and society conspire to limit talented women and girls. New York: Oxford University Press.Google Scholar
Ceci, S. J. & Williams, W. M. (2010b). Sex differences in math-intensive fields. Current Directions in Psychological Science, 19(5), 275–279.CrossRefGoogle ScholarPubMed
Ceci, S. J. & Williams, W. M. (2011). Understanding current causes of women’s underrepresentation in science. Proceedings of the National Academy of Sciences, 108, 3157–3162.CrossRefGoogle ScholarPubMed
Ceci, S. J., Williams, W. M., & Barnett, S. M. (2009). Women’s underrepresentation in science: Sociocultural and biological considerations. Psychological Bulletin, 135, 218–261.CrossRefGoogle ScholarPubMed
Chuderski, A. (2013). When are fluid intelligence and working memory isomorphic and when are they not? Intelligence, 41, 244–262. doi:10.1016/j.intell.2013.04.003 Google Scholar CrossRef.CrossRefGoogle Scholar
Cvencek, D., Meltzoff, A. N., & Greenwald, A. (2011). Math-gender stereotypes in elementary schoolchildren. Child Development, 82(3) May/June, 766–779.CrossRefGoogle Scholar
Ellison, G. & Swanson, A. (2010). The gender gap in secondary school mathematics at high achievement levels: Evidence from the American Mathematics Competitions. Journal of Economic Perspectives, 24, 109–128.CrossRefGoogle Scholar
Else-Quest, N., Hyde, J., & Linn, M. (2010). Cross-national patterns of gender differences in mathematics: A meta-analysis. Psychological Bulletin, 136, 103–127.CrossRefGoogle ScholarPubMed
Fryer, R. G., Jr. & Levitt, S. D.. (2010). An empirical analysis of the gender gap in mathematics. American Economic Journal: Applied Economics, 2(2), April, 210–240. www.jstor.org/stable/25760212.Google Scholar
Good, C., Aronson, J., & Harder, J. A. (2008). Problems in the pipeline: Stereotype threat and women’s achievement in high-level math courses. Journal of Applied Developmental Psychology, 29, 17–28.CrossRefGoogle Scholar
Grissmer, D. W., Mashburn, A., Cottone, E., Chen, W.-B., Brock, L. L., Murrah, W. M., ... Cameron, C. E. (2013). Effects of a play-based after-school curriculum for high risk K–1 children. In Newcombe, N. (Ed.), Educating spatial skills at varied ages with varied approaches: Are STEM outcomes affected? Seattle, WA: Society for Research in Child Development.Google Scholar
Halpern, D. F. (2012). Sex differences in cognitive abilities (4th edn.). New York: Psychology Press.Google Scholar
Hedges, L. V. & Nowell, A. (1995). Sex differences in mental test scores, variability, and numbers of high-scoring individuals. Science, 269, 41–45.CrossRefGoogle ScholarPubMed
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.Google Scholar
Huguet, P. & Regner, I. (2009). Counter-stereotypic beliefs in math do not protect school girls from stereotype threat. Journal of Experimental Social Psychology, 45, 1024–1027.CrossRefGoogle Scholar
Hyde, J. S., Fennema, E., & Lamon, S. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107, 139–155.CrossRefGoogle ScholarPubMed
Hyde, J. S., Lindberg, S., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321, 494–495.CrossRefGoogle ScholarPubMed
Hyde, J. S. & Mertz, J. (2009). Gender, culture, and mathematics performance. Proceedings of the National Academy of Sciences, USA, 106, 8801–8809.CrossRefGoogle ScholarPubMed
Kahn, S. & Ginther, D. K. (2015). Are recent cohorts of women with engineering bachelors less likely to stay in engineering? Frontiers in Psychology, https://doi.org/10.3389/fpsyg.2015.01144.CrossRefGoogle ScholarPubMed
Lavy, V. & Sand, E. (2015). On the origins of gender human capital gaps: Short and long term consequences of teachers’ stereotypical biases. NBER Working Paper 20909. www.nber.org/papers/w20909.pdf.CrossRefGoogle Scholar
Legewie, J. & DiPrete, T. A. (2012). High school environments, STEM orientations, and the gender gap in science and engineering degrees. http://ssrn.com/abstract=2008733.Google Scholar
Lindberg, S. M. et al. (2010). New trends in gender and mathematics performance: a meta-analysis. Psychological Bulletin, 136, 1123–1135.CrossRefGoogle ScholarPubMed
Linn, M. C. & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56, 1479–1498.CrossRefGoogle ScholarPubMed
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.CrossRefGoogle ScholarPubMed
Lippa, R. A. (2001). On deconstructing and reconstructing masculinity-femininity. Journal of Research in Personality, 35, 168–207.CrossRefGoogle Scholar
Lippa, R. A. (2010). Sex differences in personality traits and gender-related occupational preferences across 53 nations: Testing evolutionary and social-environmental theories. Archives of Sexual Behavior, 39, 619–636.CrossRefGoogle ScholarPubMed
Lohman, D. F. & Lakin, J. M. (2009). Consistencies in sex differences on the cognitive abilities test across countries, grades, test forms, and cohorts. British Journal of Educational Psychology, 79, 89–407.CrossRefGoogle ScholarPubMed
Miller, D. I. & Halpern, D. F. (2014). The new science of cognitive sex differences. Trends in Cognitive Sciences, 18, 37–45.CrossRefGoogle ScholarPubMed
Miller, D. I. & Wai, J. (2015). The bachelor’s to Ph.D. STEM pipeline no longer leaks more women than men: A 30-year analysis. Frontiers in Psychology, https://doi.org/10.3389/fpsyg.2015.00037.CrossRefGoogle Scholar
Moore, D. S. & Johnson, S. P. (2011). Mental rotation of dynamic, three-dimensional stimuli by 3-month-old infants. Infancy, 16, 435–445.CrossRefGoogle ScholarPubMed
Mullis, I., M., Fierros, M., Goldberg, E., & Stemler, A. S. (2000a). Gender differences in achievement. http://timssandpirls.bc.edu/timss1995i/gender.htmlGoogle Scholar
Mullis, I., Martin, M. O., Fierros, E. G., & Goldberg, A. L. (2000b). Gender differences in achievement: IEA’s Third International Mathematics and Science Study. Chestnut Hill, MA: Boston College. International Study Center. Retrieved May 1, 2008, from timss.bc.edu/timss1995i/TIMSSPDF/T95_GChapter%201.pdf.Google Scholar
Nix, S., Perez-Felkner, L., & Thomas, K. (2014). Perceived mathematical ability under challenge: A longitudinal perspective on sex segregation among STEM degree fields. Frontiers in Psychology.Google Scholar
Penner, A. M. (2008). Gender differences in extreme mathematical achievement: An international perspective on biological and social factors. American Journal of Sociology, 114, 138–170.CrossRefGoogle ScholarPubMed
Penner, A. M. & Paret, M. (2008). Gender differences in mathematics achievement: Exploring the early grades and the extremes. Social Science Research, 37, 239–253.CrossRefGoogle Scholar
Pope, D. G. & Sydnor, J. R. (2010). Geographic variation in the gender differences in test scores. Journal of Economic Perspectives, 24, 95–108.CrossRefGoogle Scholar
Quinn, P. C. & Liben, L. S. (2008). A sex difference in mental rotation in young infants. Psychological Science, 19, 1067–1070.CrossRefGoogle Scholar
Schwarzer, G., Freitag, C., & Schum, N. (2013). How crawling and manual object exploration are related to the mental rotation abilities of 9-month-old infants. Frontiers in Psychology, 4, 97–110. doi:10.3389/fpsyg.2013.00097.CrossRefGoogle Scholar
Shepard, R. N. & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701–703.CrossRefGoogle ScholarPubMed
Stoet, G. & Geary, D. C. (2013). Sex differences in mathematics and reading achievement are inversely related: Within-nation assessment of ten years of PISA data. PLoS One, 8(3): e57988. doi:10.1371/journal.pone.0057988.CrossRefGoogle Scholar
Strand, S., Deary, I. J., & Smith, P. (2006). Sex differences in cognitive abilities test scores: A UK national picture. British Journal of Educational Psychology, 76, 463–480.CrossRefGoogle ScholarPubMed
Su, R. & Rounds, J. (2015). All STEM fields are not created equal: People and things interests explain gender disparities across STEM fields. Frontiers in Psychology, doi: 10.3389/fpsyg.2015.00189.CrossRefGoogle ScholarPubMed
Su, R., Rounds, J., & Armstrong, P. (2009). Men and things, women and people: A meta-analysis of sex differences in interests. Psychological Bulletin, 135, 859–884.CrossRefGoogle ScholarPubMed
Thorndike, E. L. (1911). Individuality. New York: Houghton & Mifflin.Google Scholar
Voyer, D., Voyer, S., & Bryden, M. P., 1995. Magnitude of sex differences in spatial abilities: A metaanalysis and consideration of critical variables. Psychological Bulletin, 117, 250–270.CrossRefGoogle ScholarPubMed
Wai, J., Cacchio, M., Putallaz, M., & Makel, M. (2010). Sex differences in the right tail of cognitive abilities: A 30 year examination. Intelligence, 38, 412–423. doi:10.1016/j.intell.2010.04.006.CrossRefGoogle Scholar
Wai, J., & Putallaz, M. (2011). The Flynn effect puzzle: A 30-year examination from the right tail of the ability distribution provides some missing pieces. Intelligence, 39, 443–455.CrossRefGoogle Scholar
Williams, W. M. & Ceci, S. J. (2015). National hiring experiments reveals 2-to-1 preference for women faculty on STEM tenure-track. Proceedings of the National Academy of Sciences, 112(17), 5360–5365. www.pnas.org/content/early/2015/04/08/1418878112.abstract. doi:10.1073/pnas.1418878112.CrossRefGoogle Scholar

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