Sex Roles

, Volume 52, Issue 5–6, pp 351–367 | Cite as

Predictors of Young Adolescents’ Math Grades and Course Enrollment Intentions: Gender Similarities and Differences

  • Gail Crombie
  • Nancy Sinclair
  • Naida Silverthorn
  • Barbara M. Byrne
  • David L. DuBois
  • Anne Trinneer


Gender differences and similarities in the relations of key constructs in Eccles and colleagues’ (Wigfield & Eccles, 2000) model of achievement were examined as predictors of math grades and enrollment intentions for Grade 9 boys (n = 263) and girls (n = 277). A number of gender similarities were found, particularly in the prediction of math grades. There were, however, two gender-specific paths: for girls, a direct path from competence beliefs to enrollment intentions, and for boys, a direct path from prior math grades to enrollment intentions. In addition, for boys, the path from utility value to enrollment intentions was stronger than it was for girls. These differential predictive patterns were found even though girls and boys reported similar levels of math utility and girls had lower math competence beliefs. For girls, competence beliefs were a significant predictor of both intentions and current math grades, which indicates the central role of competence beliefs.


gender differences competence beliefs task values enrollment intentions math achievement 


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  1. Arbona, C. (2000). The development of academic achievement in school aged children: Precursors to career development. In S. D. Brown & R. W. Lent (Eds.), Handbook of counseling psychology (3rd ed., pp. 270–309). New York: Wiley.Google Scholar
  2. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman.Google Scholar
  3. Bandura, A. (1999). A social cognitive theory of personality. In L. Pervin & O. John (Eds.), Handbook of personality (2nd ed., pp. 154–196). New York: Guilford.Google Scholar
  4. Bentler, P. M. (1989). EQS structural equations program manual. Los Angeles: BMDP Statistical Software.Google Scholar
  5. Bentler, P. M. (1996). EQS: A structural equations program (Ver. 5.1) [Computer software]. Encino, CA: Multivariate Software.Google Scholar
  6. Betz, N. E. (1994). Career counseling for women in the sciences and engineering. In W. B. Walsh & S. H. Osipow (Eds.), Career counseling for women (pp. 237–261). Hillsdale, NJ: Erlbaum.Google Scholar
  7. Blishen, B. R., Carroll, W. K., & Moore, C. (1987). The 1981 socioeconomic index for occupations in Canada. Canadian Review of Sociology and Anthropology, 24, 465–488.Google Scholar
  8. Browne, M. W., & Cudeck, R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24, 445–455.Google Scholar
  9. Byrne, B. M. (1994). Structural equation modeling with EQS and EQS/Windows: Basic concepts, applications, and programming. Thousand Oaks, CA: Sage.Google Scholar
  10. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum.Google Scholar
  11. Byrne, B. M. (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum.Google Scholar
  12. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.Google Scholar
  13. Covington, M. V. (1984). The motive for self-worth. In R. Ames & C. Ames (Eds.), Research on motivation in education (Vol. 1, pp. 77–113). New York: Academic.Google Scholar
  14. Eccles, J. S. (1983). Attributional processes as mediators of sex differences in achievement. Journal of Educational Equity and Leadership, 3, 19–27.Google Scholar
  15. Eccles, J. S. (1984). Sex differences in achievement patterns. In T. Sonderegger & R. A. Dienstbier (Eds.), Nebraska Symposium on Motivation: Vol. 32. Psychology and gender (pp. 97–132). Lincoln, NE: University of Nebraska Press.Google Scholar
  16. Eccles, J. S. (1994). Understanding women’s educational and occupational choices: Applying the Eccles et al. model of achievement-related choices. Psychology of Women Quarterly, 18, 585–609.Google Scholar
  17. Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values, and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives (pp. 75–146). San Francisco: Freeman.Google Scholar
  18. Eccles, J. S., & Jacobs, J. E. (1986). Social forces shape math attitudes and performance. Signs, 11, 367–380.Google Scholar
  19. Eccles, J. S., & Wigfield, A. (1995). In the mind of the actor: The structure of adolescents’ achievement task values and expectancy-related beliefs. Personality and Social Psychology Bulletin, 21, 215–225.Google Scholar
  20. Eccles, J. S., Wigfield, A., & Schiefele, U. (1998). Motivation to succeed. In N. Eisenberg (Ed.), Handbook of child psychology: Vol. 3. Social, emotional, and personality development (5th ed., pp. 1017–1095). New York: Wiley.Google Scholar
  21. Ethington, C. A. (1991). A test of a model of achievement behaviors. American Educational Research Journal, 28, 155–172.Google Scholar
  22. Fan, X., Thompson, B., & Wang, L. (1999). The effects of sample size, estimation methods, and model specification on SEM fit indices. Structural Equation Modeling, 6, 56–83.Google Scholar
  23. Farmer, H. S., Wardrop, J. L., & Rotella, S. C. (1999). Antecedent factors differentiating women and men in science/nonscience careers. Psychology of Women Quarterly, 23, 763–780.Google Scholar
  24. Fennema, E., & Hart, L. E. (1994). Gender and the JRME. Journal for Research in Mathematics Education, 25, 648–659.Google Scholar
  25. Fredricks, J. A., & Eccles, J. S. (2002). Children’s competence and value beliefs from childhood through adolescence: Growth trajectories in two male-sex-typed domains. Developmental Psychology, 38, 519–533.Google Scholar
  26. Fuligni, A. J., Eccles, J. S., & Barber, B. L. (1995). The long-term effects of seventh-grade ability grouping in mathematics. Journal of Early Adolescence, 15, 58–89.Google Scholar
  27. Hackett, G., & Byars, A. M. (1996). Social cognitive theory and the career development of African American women. The Career Development Quarterly, 44, 322–340.Google Scholar
  28. Harter, S. (1999). The construction of the self: A developmental perspective. New York: Guilford.Google Scholar
  29. Hill, J., & Lynch, M. (1983). The intensification of gender-related expectations during early adolescence. In J. Brooks-Gunn & A. C. Peterson (Eds.), Girls at puberty: Biological and psychosocial perspectives (pp. 201–228). New York: Plenum.Google Scholar
  30. Hoyle, R. H. (1995). The structural equation modeling approach: Basic concepts and fundamental issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 1–15). Thousand Oaks, CA: Sage.Google Scholar
  31. Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.Google Scholar
  32. Hyde, J. S., Fennema, E., & Lamon, S. J. (1990). Gender differences in mathematics performance: A meta-analysis. Psychological Bulletin, 107, 139–155.Google Scholar
  33. Hyde, J. S., Fennema, E., Ryan, M., Frost, L. A., & Hopp, C. (1990). Gender comparisons of mathematical attitudes and affect. Psychology of Women Quarterly, 14, 299–324.Google Scholar
  34. 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.Google Scholar
  35. Jacobs, J. E., Lanza, S., Osgood, D. W., Eccles, J. S., & Wigfield, A. (2002). Changes in children’s self-competence and values: Gender and domain differences across grades one through twelve. Child Development, 73, 509–527.Google Scholar
  36. Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: User’s reference guide. Chicago, IL: Scientific Software International.Google Scholar
  37. Jovanovic, J., & King, S. S. (1998). Boys and girls in the performance-based science classroom: Who’s doing the performing? American Educational Research Journal, 35, 477–496.Google Scholar
  38. Kenny, D. A., Kashy, D. A., & Bolger, N. (1998). Data analysis in social psychology. In D. T. Gilbert, S. T. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (Vol. 1, 4th ed., pp. 233–265). New York: Oxford University Press.Google Scholar
  39. Kimball, M. M. (1989). A new perspective on women’s math achievement. Psychological Bulletin, 105, 198–214.Google Scholar
  40. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45, 79–122.Google Scholar
  41. Marsh, H. W., & Yeung, M. A. (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.Google Scholar
  42. Meece, J. L., Wigfield, A., & Eccles, J. S. (1990). Predictors of math anxiety and its influence on young adolescents’ course enrollment intentions and performance in mathematics. Journal of Educational Psychology, 82, 60–70.Google Scholar
  43. Nicholls, J. G. (1984). Achievement motivation: Conceptions of ability, subjective experience, task choice, and performance. Psychological Review, 91, 328–346.Google Scholar
  44. Nosek, B. A., Banaji, M. R., & Greenwald, A. G. (2002). Math = male, me = female, therefore math ¬ me. Journal of Personality and Social Psychology, 83, 44–59.Google Scholar
  45. O’Brien, K. M., & Fassinger, R. E. (1993). A causal model of the career orientations and career choice of adolescent women. Journal of Counseling Psychology, 40, 465–469.Google Scholar
  46. Parsons, J. E., Adler, T. F., Futterman, R., Goff, S., Kaczala, C., Meece, J., & Midgley, C. (1980). Self-perceptions, task perceptions and academic choice: Origins and change. Washington, DC: National Institute of Education. (ERIC Document Reproduction Service No. ED 186 477)Google Scholar
  47. Parsons, J. E., Adler, T. F., & Kaczala, C. M. (1982). Socialization of achievement attitudes and beliefs: Parental influences. Child Development, 53, 310–321.Google Scholar
  48. Potter, E. F., & Rosser, S. V. (1992). Factors in life science: Textbooks that may deter girls’ interest in science. Journal of Research in Science Teaching, 29, 669–686.Google Scholar
  49. Rock, D. A., & Pollack, J. M. (1995). Statistics in brief: Mathematics course-taking and gains in mathematics achievement (NCES Report No. 95-714). Washington, DC: Office of Educational Research and Improvement, U.S. Department of Education.Google Scholar
  50. Schmader, T., Johns, M., & Barquissau, M. (2004). The costs of accepting gender differences: The role of stereotype endorsement in women’s experience in the math domain. Sex Roles, 50, 835–850.Google Scholar
  51. Schmader, T., Major, B., Eccleston, C. P., & McCoy, S. K. (2001). Devaluing domains in response to threatening intergroup comparisons: Perceived legitimacy and the status value asymmetry. Journal of Personality and Social Psychology, 80, 782–796.Google Scholar
  52. Silverthorn, N., DuBois, D. L., & Crombie, G. (2005). Self-perceptions of ability and achievement across the high school transition: Investigation of a state-trait model. Manuscript submitted for publication.Google Scholar
  53. Simmons, R. G., & Blyth, D. A. (1987). Moving into adolescence: The impact of pubertal change and school context. Hawthorne, NY: Aldine de Gruyter.Google Scholar
  54. 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.Google Scholar
  55. Steele, C. M. (1997). A threat in the air: How stereotypes shape intellectual identity and performance. American Psychologist, 52, 613–629.Google Scholar
  56. Stipek, D. (1992). The child at school. In M. H. Bornstein & M. E. Lamb (Eds.), Developmental psychology: An advanced textbook (3rd ed., pp. 579–625). Hillsdale, NJ: Erlbaum.Google Scholar
  57. Thompson, B. (2000). Ten commandments of structural equation modeling. In L. Grimm & P. Yarnold (Eds.), Reading and understanding more multivariate statistics (pp. 261–284). Washington, DC: American Psychological Association.Google Scholar
  58. Tiedemann, J. (2000). Parents’ gender stereotypes and teachers’ beliefs as predictors of children’s concept of their mathematical ability in elementary school. Journal of Educational Psychology, 92, 144–151.Google Scholar
  59. Trusty, J. (2002). Effects of high school course-taking and other variables on choice of science and mathematics college majors. Journal of Counseling and Development, 80, 464–474.Google Scholar
  60. Trusty, J., & Ng, K. M. (2000). Longitudinal effects of achievement perceptions on choice of postsecondary major. Journal of Vocational Behavior, 57, 123–135.Google Scholar
  61. Valentine, J. C., DuBois, D. L., & Cooper, H. (2004). The relation between self-beliefs and academic achievement: A meta-analytic review. Educational Psychologist, 39, 111–133.Google Scholar
  62. Wigfield, A., & Eccles, J. S. (1992). The development of achievement task values: A theoretical analysis. Developmental Review, 12, 265–310.Google Scholar
  63. Wigfield, A., & Eccles, J. S. (1994). Children’s competence beliefs, achievement values, and general self-esteem: Changes across elementary and middle school. Journal of Early Adolescence, 14, 107–138.Google Scholar
  64. Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25, 68–81.Google Scholar
  65. Wigfield, A., & Eccles, J. S. (2002). The development of competence beliefs, expectancies for success, and achievement values from childhood through adolescence. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 91–120). San Diego: Academic.Google Scholar
  66. Wigfield, A., Eccles, J. S., MacIver, D., Reuman, D., & Midgley, C. (1991). Transitions at early adolescence: Changes in children’s domain-specific self-perceptions and general self-esteem across the transition to junior high school. Developmental Psychology, 27, 552–565.Google Scholar
  67. Wigfield, A., Eccles, J. S., Yoon, K. S., Harold, R. D., Arbreton, A. J. A., Freedman-Doan, K., & Blumenfeld, P. C. (1997). Changes in children’s competence beliefs and subjective task values across the elementary school years: A 3-year study. Journal of Educational Psychology, 89, 451–469.Google Scholar
  68. Wirt, J., Choy, S., Rooney, P., Provasnik, S., Sen, A., and Tobin, R. (2004). The condition of education 2004 (NCES Report No. 2004-077). Washington, DC: National Center for Education Statistics, U.S. Department of Education, U.S. Government Printing Office.Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2005

Authors and Affiliations

  • Gail Crombie
    • 1
    • 3
  • Nancy Sinclair
    • 1
  • Naida Silverthorn
    • 1
  • Barbara M. Byrne
    • 1
  • David L. DuBois
    • 2
  • Anne Trinneer
    • 1
  1. 1.University of OttawaOttawaCanada
  2. 2.University of Illinois at ChicagoChicago
  3. 3.120 University, School of PsychologyUniversity of OttawaOttawaCanada

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