Effects of high school course-taking and other variables on choice of science and mathematics college majors

Journal of Counseling and Development

Volumn 80, Issue 4, 2002, Pages 464-474

  Trusty, Jerry ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0036763139     PISSN: 07489633     EISSN: None     Source Type: Journal    
DOI: 10.1002/j.1556-6678.2002.tb00213.x     Document Type: Article

References (36)

1. Adelman, C. (1999). Answers in the tool box: Academic intensity, attendance patterns, and bachelor's degree attainment [Monograph]. Retrieved December 18, 1999, from U.S. Department of Education, Office of Educational Research and Improvement Web site: http://www.ed.gov/pubs/Toolbox/Title.html.
2. Agresti, A. (1990). Categorical data analysis. New York: Wiley.
3. Betz, N.E., & Hackett, G. (1983). The relationship of mathematics self-efficacy expectations to the selection of science-based college majors. Journal of Vocational Behavior, 23, 329-345.
4. Brody, L.E., & Benbow, C.P. (1990). Effects of high school coursework and time on SAT scores. Journal of Educational Psychology, 82, 866-875.
5. Chaney, B., Burgdorf, K., & Atash, N. (1997). Influencing achievement through high school graduation requirements. Educational Evaluation and Policy Analysis, 19, 229-244.
6. Davenport, E.C., Jr., Davison, M.L., Kuang, S.D., Ding, S., Kim, S., & Kwak, N. (1998). High school mathematics course-taking by gender and ethnicity. American Educational Research Journal, 35, 497-514.
7. Eccles, J.S. (1994). Understanding women's educational and occupational choices. Psychology of Women Quarterly, 18, 585-609.
8. Eccles, J.S., & Jacobs, J.E. (1986). Social forces shape math attitudes and performance. Journal of Women in Culture and Society, 11, 367-380.
9. Eide, E. (1994). College major choice and changes in the gender wage gap. Contemporary Economic Policy, 12, 55-64.
10. Hackett, G. (1985). Role of mathematics self-efficacy in the choice of math-related majors of college women and men: A path analysis. Journal of Counseling Psychology, 32, 47-66.
11. Harrington, T.F., Feller, R., & O'Sbea, A.J. (1993). Four methods to determine RIASEC codes for college majors and a comparison of hit rates. The Career Development Quarterly, 41, 383-392.
12. Holland, J.L. (1966). A psychological classification scheme for vocations and major fields. Journal of Counseling Psychology, 13, 278-288.
13. Holland, J.L. (1997). Making vocational choices (3rd ed.). Odessa, FL: Psychological Assessment Resources.
14. Ingels, S.J., Dowd, K.L., Baldridge, J.D., Stipe, J.L., Bartot, V.H., & Frankel, M.R. (1994). Second follow-up: Student component data file user's manual (NCES Publication No. NCES 94-374). Washington, DC: U.S. Department of Education, Office of Educational Research and Improvement.
15. Jones, L.V. (1987). The influence on mathematics test scores, by ethnicity and sex, of prior achievement and high school mathematics courses. Journal for Research in Mathematics Education, 18, 180-186.
16. Krumboltz, J.D. (1979). A social learning theory of career derision making. In A.M. Mitchell, G.B. Jones, & J.D. Krumboltz (Eds.), Social learning and career decision making (pp. 19-49). Cranston, RI: Carroll Press.
17. Krumboltz, J.D. (1996). A learning theory of career counseling. In M.L. Savickas & W.B. Walsh (Eds.), Handbook of career counseling theory and practice (pp. 55-80). Palo Alto, CA: Davies-Black.
18. Lee, V.E., & Bryk, A.S. (1989). A multilevel model of the social distribution of high school achievement. Sociology of Education, 62, 172-192.
19. Lee, V.E., Croninger, R.G., & Smith, J.B. (1997). Course-taking, equity, and mathematics learning: Testing the constrained curriculum hypothesis in U.S. secondary schools. Educational Evaluation and Policy Analysis, 19, 99-121.
20. 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.
21. Maple, S.A., & Stage, F.K. (1991). Influences on the choice of math/science major by gender and ethnicity. American Educational Research Journal, 28, 37-60.
22. McClure, G.T. (1998). High school mathematics course taking and achievement among college-bound students: 1987-1996. NASSP Bulletin, 82, 110-118.
23. Menard, S. (1995). Applied logistic regression analysis. Thousand Oaks, CA: Sage.
24. National Center for Education Statistics. (2000a). The condition of education 1997: Indicator 24. Retrieved February 16, 2000, from U.S. Department of Education, National Center for Education Statistics Web site: http://nces.ed.gov/pubs/ce/c9724a01.html.
25. National Center for Education Statistics. (2000b). Findings from the condition of education 1997: Women in mathematics and science. Retrieved February 20, 2000, from U.S. Department of Education, National Center for Education Statistics Web site: http://nces.ed.gov/pubs97/97982.html.
26. National Education Goals Panel. (1999). The National Education Goals report: Building a nation of learners, 1999. Washington, DC: U.S. Government Printing Office. (ERIC No. ED 433 377).
27. National Education Longitudinal Study: 1988-94: Data flies and electronic codebook system [CD-ROM data files and documentation]. (1996). Washington, DC: National Center for Education Statistics [Producer and Distributor].
28. Norusis, M.J. (1994). SPSS advanced statistics 6.1. Chicago: SPSS.
29. Oakes, J. (1990). Opportunities, achievement, and choices: Women and minority students in science and mathematics. In C.B. Cazden (Ed.), Review of Research in Education, Vol. 16 (pp. 153-222). Itasca, IL: Peacock.
30. Pedhazur, E.J. (1982). Multiple regression in behavioral research (2nd ed.). Fort Worth, TX: Holt, Rinehart and Winston.
31. Rosen, D., Holmberg, K., & Holland, J.L. (1997). The educational opportunities finder (3rd ed.). Odessa, FL: Psychological Assessment Resources.
32. Trusty, J. (2000). High educational expectations and low achievement: Stability of educational goals across adolescence. Journal of Educational Research, 93, 356-365.
33. Trusty, J., & Ng, K. (2000). Longitudinal effects of achievement perceptions on choice of postsecondary major. Journal of Vocational Behavior, 57, 123-135.
34. Trusty, J., Ng, K., & Plata, M. (2000). Interaction effects of gender, SES, and race-ethnicity on postsecondary educational choices of U.S. students. The Career Development Quarterly, 49, 45-59.
35. Trusty, J., Robinson, C., Plata, M., & Ng, K. (2000). Effects of gender, SES, and early academic performance on postsecondary educational choice. Journal of Counseling & Development, 78, 463-472.
36. Ware, N.C., & Lee, V.E. (1988). Sex differences in choice of college science majors. American Educational Research Journal, 25, 593-614.