Skip to main content

Advertisement

Log in

Access to postsecondary education: can schools compensate for socioeconomic disadvantage?

  • Published:
Higher Education Aims and scope Submit manuscript

Abstract

While access to postsecondary education in Canada has increased over the past decade, a number of recent studies demonstrate that youth from disadvantaged socioeconomic backgrounds are vulnerable to some degree of exclusion from postsecondary education. These studies tend to emphasize the lack of financial resources and social capital as the main sources of this vulnerability. Our paper employs multilevel framework to explore the extent of the impact of schools on access to postsecondary education, especially for youth from disadvantaged background. Our analyses revealed that: (1) for youth with similar financial constraints who attend schools with relatively similar quality, those from disadvantaged socioeconomic backgrounds who attend schools with high concentration of low SES students are particularly vulnerable to exclusion from university education, and (2) a substantial portion of the SES effect operate through the impact of high school academic achievement and postsecondary education expectation on access to postsecondary education.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Card, D. (2001). Estimating the return to schooling: Progress on some econometric problems. Econometrica, 69(5), 1127–1160.

    Article  Google Scholar 

  • Carneiro, P., & Heckman, J. J. (2002). The evidence on credit constraint in post-secondary schooling. The Economic Journal, 112(482), 705–734.

    Article  Google Scholar 

  • Coleman, J. S. (1966). Equality of educational opportunity. Washington, DC: US Dept. of Health, Education, and Welfare, Office of Education.

    Google Scholar 

  • Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., et al. (1983). Expectancies, values and academic behaviors. In J. T. Spence (Ed.), Achievement and achievement motives. San Francisco: W. H. Freemen.

    Google Scholar 

  • Ellwood, D. T., & Kane, J. L. (2000). Who is getting college education? Family background and the growing gap in enrollment. In S. Danziger & J. Waldfogell (Eds.), Securing the future: Investing in children from birth to college. New York: Russell Sage Foundation.

    Google Scholar 

  • Finnie, R., & Mueller, R. (2009). The backgrounds of Canadian youth and access to post-secondary education: New evidence from the youth in transition survey. In R. Finnie, R. Mueller, A. Sweetman, & A. Usher (Eds.), Who goes? Who stays? What matters? Access to and remaining in post-secondary education in Canada. McGill-Queen’s University Press: Montreal-Kingston.

    Google Scholar 

  • Finnie, R., Eric, L., & Arthur, S. (2005). Who goes? The direct and indirect effects of family background on access to post-secondary education. Analytical studies branch research paper series. Catalogue no. 11F0019MIE No. 237. Ottawa: Statistics Canada.

    Google Scholar 

  • Frempong, G., & Willms, J. D. (2002). Can school quality compensate for socioeconomic disadvantage? In J. D. Willms (Ed.), Vulnerable children: Findings from Canada’s longitudinal study of children and youth (pp. 277–303). Edmonton, AB: University of Alberta Press.

    Google Scholar 

  • Frenette, M. (2007). Why are Youth from lower-income families less likely to attend Universty? Evidence from academic abilities, parental influences, and financial constraints. Analytical studies branch research paper series. Catalogue no. 11F0019 No. 295. Ottawa: Statistics Canada.

    Google Scholar 

  • Haveman, R., & Wolfe, B. (1995). The determinants of children’s attainments: A review of methods and findings. Journal of Economic Literature, 33, 1829–1878.

    Google Scholar 

  • Human Resources Development Canada (1998). High school may not be enough, Human Resources Development Canada catalogue no. SP-105-05-98E, Ottawa.

  • Junor, S., & Usher, A. (2004). The price of knowledge: Access and student finance in Canada Millenium research series. Ottawa: Canada Millenium Scholarship Foundation.

    Google Scholar 

  • Kane, J. T. (1994). College entry by Blacks since 1970: The role of college cost, family background, and the return to education. Journal of Political Economy, 102(5), 878–911.

    Article  Google Scholar 

  • Ma, X., & Klinger, D. (2000). Hierachical linear modelling of student and school effects on academic achievement. Canadian Journal of Education, 2(1), 41–55.

    Article  Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd Ed.). Newbury Park, CA: Sage.

  • Willms, J. D. (1999). Quality and inequality in children’s literacy: The effects of families, schools, and communities. In D. Keating & C. Hertzman (Eds.), Developmental health and the wealth of nations: Social, biological, and educational dynamics (pp. 72–93). New York: Guilford Press.

    Google Scholar 

  • Wilson-Relyea, B. J. (1997). Influences on the level of mathematics achieved by female adolescents: A test of a model of academic choice. Unpublished doctoral dissertation, University of Memphis. Dissertation Abstracts International, 58, 1194.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to George Frempong.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Frempong, G., Ma, X. & Mensah, J. Access to postsecondary education: can schools compensate for socioeconomic disadvantage?. High Educ 63, 19–32 (2012). https://doi.org/10.1007/s10734-011-9422-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10734-011-9422-2

Keywords

Navigation