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GENDER DIFFERENCES IN THE INFLUENCE OF EARLY PERCEIVED PARENTAL SUPPORT ON STUDENT MATHEMATICS AND SCIENCE ACHIEVEMENT AND STEM CAREER ATTAINMENT

  • Marsha IngEmail author
Article

Abstract

The lack of females entering STEM careers is well documented. Reasons for the gender gaps at all stages of the educational pipeline include both internal factors such as self-concept and external factors such as the influence of parents, media, and educators. Using latent growth curve analysis and nationally representative longitudinal survey data, this study compares differences in the relationship between a critical external factor (perceived early parental support), student mathematics and science achievement trajectories, and persistence in STEM career by gender. Mathematics and science trajectories were positively related to STEM career persistence for males and females. Perceived early parental support was related to growth in mathematics achievement for males but not females. There was no relationship between early perceived parental support and growth in science achievement for either males or females. These findings indicate differences in the relationship between parental support, achievement, and career persistence depending on content area and gender.

Key words

academic achievement career longitudinal studies mathematics parents quantitative methods science 

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References

  1. 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.Google Scholar
  2. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.CrossRefGoogle Scholar
  3. Bentler, P. M. (2007). On tests and indices for evaluating structural models. Personality and Individual Differences, 42(5), 825–829.CrossRefGoogle Scholar
  4. Bollen, K. & Curran, P. J. (2006). Latent curve models: A structural equation perspective. New York: Wiley.Google Scholar
  5. Brickhouse, N. W., Lowery, P. & Schultz, K. (2000). What kind of girl does science? The construction of school science identities. Journal of Research in Science Teaching, 37(5), 441–458.CrossRefGoogle Scholar
  6. Calabrese Barton, A., Kang, H., Tan, E., O’Neill, T. B., Bautista-Guerra, J. & Brecklin, C. (2013). Crafting a future in science: Tracing middle school girls’ identity work over time. American Educational Research Journal, 50(1), 37–75.CrossRefGoogle Scholar
  7. Ceci, S. J. & Williams, W. M. (Eds.). (2007). Why aren’t more women in science? Top researchers debate the evidence. Washington, DC: American Psychological Association.Google Scholar
  8. Ceci, S. J. & Williams, W. M. (2010). Sex differences in math-intensive fields. Current Directions in Psychological Science, 19(5), 275–279.CrossRefGoogle Scholar
  9. Chang, M. J., Cerna, O., Han, J. & Saenz, V. (2008). The contradictory roles of institutional status in retaining underrepresented students in biomedical and behavioral science majors. Review of Higher Education, 31(4), 433–464.CrossRefGoogle Scholar
  10. Cinamon, R. G. & Dan, O. (2010). Parental attitudes toward preschoolers’ career education: A mixed-method study. Journal of Career Development, 37(2), 519–540.CrossRefGoogle Scholar
  11. Cover, B., Jones, J. I., & Watson, A. (2011). Science, technology, engineering, and mathematics (STEM) occupation: A visual essay. Monthly Labor Review, 3–15. Retrieved on July 1, 2011 from www.bls.gov/opub/mlr/2011/05/art1full.pdf.
  12. Crisp, G., Nora, A. & Taggart, A. (2009). Student characteristics, pre-college, college, and environmental factors as predictors of majoring in and earning a STEM degree: An analysis of students attending a Hispanic Serving Institution. American Educational Research Journal, 46(4), 924–942.CrossRefGoogle Scholar
  13. DeWitt, J., Archer, L., Osborne, J., Dillon, J., Willis, B. & Wong, B. (2011). High aspirations but low progression: The science aspirations-career paradox amongst minority ethnic students. International Journal of Science and Mathematics Education, 9(2), 243–271.CrossRefGoogle Scholar
  14. Eccles, J., Adler, T. F. & Kaczala, C. M. (1982). Socialization of achievement attitudes and beliefs: Parental influences. Child Development, 53, 310–321.CrossRefGoogle Scholar
  15. Eccles, J. S., Jacobs, J. E., Harold, R. D., Yoon, K. S., Arbreton, A. & Freedman-Doan, C. (1993). Parents and gender-role socialization during the middle childhood and adolescent years. In S. Oskamp & M. Costanzo (Eds.), Gender issues in contemporary society (pp. 59–83). Newbury Park, CA: Sage.Google Scholar
  16. 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.CrossRefGoogle Scholar
  17. Fan, X. (2001). Parental involvement and students’ academic achievement: A growth modeling analysis. Journal of Experimental Education, 70(1), 27–62.CrossRefGoogle Scholar
  18. Frome, P. M. & Eccles, J. S. (1998). Parents’ influence on children’s achievement-related perceptions. Journal of Personality and Social Psychology, 74(2), 435–452.CrossRefGoogle Scholar
  19. Gilmartin, S. K., Li, E. & Aschbacher, P. (2006). The relationship between interest in physical science/engineering, science class experiences, and family contexts: Variations by gender and race/ethnicity among secondary students. Journal of Women and Minorities in Science and Engineering, 12(1), 179–207.CrossRefGoogle Scholar
  20. Haveman, R. & Wolfe, B. (1995). The determinants of children’s attainments: A review of methods and findings. Journal of Economic Literature, 33(4), 1829–1878.Google Scholar
  21. Hill, J. & Lynch, M. (1983). The intensification of gender-role related to expectations during early adolescence. In J. Brooks-Gunn & A. Petersen (Eds.), Girls at puberty: Biological and psychosocial perspectives (pp. 201–228). New York, NY: Plenum.CrossRefGoogle Scholar
  22. Hong, S. (2010). The reciprocal relationship between parental involvement and mathematics achievement: Autoregressive cross-lagged modeling. Journal of Experimental Education, 78(4), 419–439.CrossRefGoogle Scholar
  23. 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.CrossRefGoogle Scholar
  24. Huang, G., Taddese, N. & Walter, E. (2000). Entry and persistence of women and minorities in college science and engineering education. Report No. NCES 2000–601. Washington, DC: National Center for Education Statistics.Google Scholar
  25. Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B. & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321(5888), 494–495.CrossRefGoogle Scholar
  26. Ing, M. (2013). Can parents influence student mathematics achievement and persistence in STEM careers? Journal of Career Development. Advance online publication. doi:  10.1177/0894845313481672.
  27. Jacobs, J. E. & Eccles, J. S. (1992). The impact of mothers’ gender-role stereotypic beliefs on mothers’ and children’s ability perceptions. Journal of Personality and Social Psychology, 63, 932–944.CrossRefGoogle Scholar
  28. Lord, F. M. (1980). Applications of item response theory to practical testing problems. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  29. Lytton, H. & Romney, D. M. (1991). Parents’ differential socialization of boys and girls: A meta-analysis. Psychological Bulletin, 109, 267–296.CrossRefGoogle Scholar
  30. Ma, X. (2001). Participation in advanced mathematics: Do expectation and influence of students, peers, teachers and parents matter? Contemporary Educational Psychology, 26(1), 132–146.CrossRefGoogle Scholar
  31. Middleton, E. B. & Loughead, T. A. (1993). Parental influence on career development: An integrative framework for adolescent career counseling. Journal of Career Development, 19(3), 161–173.CrossRefGoogle Scholar
  32. Miller, J. D. (2010). Longitudinal Study of American Youth, 1987–1994, and 2007. Ann Arbor, MI: Inter-university Consortium for Political and Social Research.Google Scholar
  33. Miller, J. D. & Solberg, V. S. (2012). The composition of the STEMM workforce: A rationale for differentiating STEMM professional and STEMM support careers. Peabody Journal of Education, 87(1), 6–15.CrossRefGoogle Scholar
  34. Muthén, B. O. & Muthén, L. K. (2012). Mplus (Version 7) [Computer Software]. Los Angeles, CA: Authors.Google Scholar
  35. National Science Foundation (2005). Women, minorities, and persons with disabilities in science and engineering. Washington, DC: Author.Google Scholar
  36. National Science Foundation, National Center for Science and Engineering Statistics (2013). Women, minorities, and persons with disabilities in science and engineering: 2013 (NSF 13–304). Arlington, VA: Author.Google Scholar
  37. Oakes, J. (1990). Opportunities, achievement, and choice: Women and minority students in science and mathematics. Review of Research in Education, 16(1), 153–222.CrossRefGoogle Scholar
  38. Osborne, J., Simon, S. & Collins, S. (2003). Attitudes towards science: A review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1079.CrossRefGoogle Scholar
  39. Otto, L. B. & Call, V. (1985). Parental influence on young people’s career development. Journal of Career Development, 12(1), 65–69.Google Scholar
  40. Riegle-Crumb, C. & King, B. (2010). Questioning a White male advantage in STEM: Examining disparities in college majors by gender and race/ethnicity. Educational Researcher, 39(9), 656–664.CrossRefGoogle Scholar
  41. Riegle-Crumb, C., King, B., Grodsky, E. & Muller, C. (2012). The more things change, the more they stay the same? Prior achievement fails to explain gender inequity in entry into STEM college majors over time. American Educational Research Journal, 49(6), 1048–1073.CrossRefGoogle Scholar
  42. Satorra, A. & Bentler, P. M. (2001). A scaled difference chi-square test statistic from moment structure analysis. Psychometrika, 66(4), 507–514.Google Scholar
  43. Seymour, E. & Hewitt, N. M. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview Press.Google Scholar
  44. Splete, H. & Freeman-George, A. (1985). Family influences on the career development of young adults. Journal of Career Development, 12(1), 55–64.Google Scholar
  45. Tai, R. H., Qi Liu, C., Maltese, A. V. & Fan, X. (2006). Planning early for careers in science. Science, 312(5777), 1143–1144.CrossRefGoogle Scholar
  46. Tenebaum, 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.CrossRefGoogle Scholar
  47. Trusty, J. (1996). Relationship of parental involvement in teens’ career development to teens’ attitudes, perceptions, and behavior. Journal of Research and Development in Education, 30(1), 65–69.Google Scholar
  48. Valla, J. M. & Williams, W. M. (2012). Increasing achievement and higher-education representation of under-represented groups in science, technology, engineering and mathematics fields: A review of current K-12 intervention programs. Journal of Women and Minorities in Science and Engineering, 18(1), 21–53.CrossRefGoogle Scholar
  49. Wang, M. T. (2012). Educational and career interests in math: A longitudinal examination of the links between classroom environment, motivational beliefs, and interests. Developmental Psychology, 1(1), 1–22.Google Scholar
  50. Wang, J. & Wildman, L. (1995). An empirical examination of effect of family commitment in education on student achievement in seventh grade science. Journal of Research in Science Teaching, 32(8), 833–837.CrossRefGoogle Scholar
  51. Wang, J., Wildman, L. & Calhoun, G. (1996). The relationship between parental influences and student achievement in seventh grade mathematics. School Science and Mathematics, 96(8), 395–400.CrossRefGoogle Scholar
  52. Wigfield, A., Eccles, J. & Pintrich, P. (1996). Development between the ages of 11 and 25. In D. C. Berliner & R. C. Calfee (Eds.), The handbook of educational psychology (pp. 148–185). New York, NY: Macmillian.Google Scholar
  53. Witt, S. (1997). Parental influence on children’s socialization of gender roles. Adolescence, 32, 253–259.Google Scholar
  54. Young, R. A., Valach, L., Paseluikho, M. A., Dover, C., Matthes, G. E., Paproski, D. L. & Sankey, A. M. (1997). The joint action of parents and adolescents in conversation about career. Career Development Quarterly, 46(1), 72–86.CrossRefGoogle Scholar

Copyright information

© US Government 2013

Authors and Affiliations

  1. 1.Graduate School of EducationUniversity of California, RiversideRiversideUSA

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