Research in Higher Education

, Volume 52, Issue 4, pp 323–348 | Cite as

Racial/Ethnic Disparities in Collegiate Cognitive Gains: A Multilevel Analysis of Institutional Influences on Learning and its Equitable Distribution

Article

Abstract

Although numerous studies have examined racial/ethnic inequalities in collegiate student outcomes, serious attention to disparities in post-secondary student learning has emerged only recently. Using a national sample of 35,000 college seniors and 250 diverse institutions from the Collegiate Learning Assessment, this study investigates the role of institutional characteristics in promoting the development of higher-order cognitive skills and the equitable distribution of these skills by student racial/ethnic background. Using three-level hierarchical linear models within an analysis of covariance framework, we find that the initial academic gaps that separate African American students from their white peers widen even further during college. Although substantial academic disparities exist between Hispanic and white students at both college entry and exit, Hispanic and white students gain academic skills at statistically comparable rates. Importantly, racial/ethnic differences in cognitive development vary across institutions partly as a function of institutional characteristics. In particular, even after accounting for a host of student- and institution-level characteristics, African American/white and Hispanic/white inequalities are somewhat smaller at colleges that enroll larger proportions of non-white students. However, these benefits of increased minority enrollments are contingent upon the academic backgrounds of students’ peers, with academically weaker student enrollments in some cases negating the benefits of increased racial/ethnic diversity.

Keywords

Race/ethnicity Educational inequality Hierarchical linear modeling Learning Collegiate Learning Assessment 

References

  1. Allen, W. R. (1992). The color of success: African-American college student outcomes at predominantly white and historically black public colleges and universities. Harvard Educational Review, 62(1), 26–42.Google Scholar
  2. Allen, W. R., Epps, E. G., & Haniff, N. Z. (Eds.). (1991). College in black and white: African American students in predominantly white and in historically black public universities. Albany: State University of New York Press.Google Scholar
  3. Allison, P. D. (2002). Missing data. Thousand Oaks, CA: Sage.Google Scholar
  4. Arum, R., & Roksa, J. (2008, November). Learning to reason and communicate in college: Lessons from the CLA longitudinal project. Presented at the Social Science Research Council’s conference on learning in higher education, Chicago.Google Scholar
  5. Astin, A. (1993). What matters in college. San Francisco: Jossey-Bass.Google Scholar
  6. Benjamin, R. (2008). The case for comparative institutional assessment of higher-order thinking skills. Change, 40(6), 50–55.CrossRefGoogle Scholar
  7. Bowen, W. G., & Bok, D. C. (1998). The shape of the river: Long-term consequences of considering race in college and university admissions. Princeton, NJ: Princeton University Press.Google Scholar
  8. Chang, M., Denson, N., Saenz, V., & Misa, K. (2005). The educational benefits of sustaining cross-racial interaction among undergraduates. The Journal of Higher Education, 77(3), 430–455.CrossRefGoogle Scholar
  9. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.Google Scholar
  10. Dey, E. (1991, March). Community service and critical thinking: An exploratory analysis of collegiate influences. Paper presented at the meeting of the conference “Setting the agenda for an effective research strategy for combining service and learning in the 1990s,” Racine, WI.Google Scholar
  11. Dorans, N. J. (1999). Correspondences between ACT and SAT I scores (College Board Report No. 99-1; ETS RR 99-2). New York: The College Board.Google Scholar
  12. Educational Testing Service. (2008). Factors that can influence performance on the GRE general test 2005–2006. Princeton, NJ: Educational Testing Service.Google Scholar
  13. Ewell, P. (2002). An emerging scholarship: A brief history of assessment. In T. Banta (Ed.), Building a scholarship of assessment. San Francisco, CA: Jossey-Bass.Google Scholar
  14. Ewell, P. (2008a). No correlation: Musings on some myths about quality. Change, 40(6), 8–13.CrossRefGoogle Scholar
  15. Ewell, P. (2008b). Stuck on student learning. Inside Higher Ed. Retrieved November 18, 2008, from www.insidehighered.com.
  16. Flowers, L. A., & Pascarella, E. T. (2003). Cognitive effects of college: Differences between African American and Caucasian students. Research in Higher Education, 44(1), 21–49.CrossRefGoogle Scholar
  17. Goldin, C., & Katz, L. F. (2008). The race between education and technology. Cambridge, MA: The Belknap Press of Harvard University Press.Google Scholar
  18. Gurin, P., Dey, E. L., Hurtado, S., & Gurin, G. (2002). Diversity and higher education: Theory and impact on educational outcomes. Harvard Educational Review, 72(3), 330–366.Google Scholar
  19. Hagedorn, L., Pascarella, E., Edison, M., Braxton, J., Nora, A., & Terenzini, P. (1999). Institutional context and the development of critical thinking: A research note. Review of Higher Education, 22, 247–263.Google Scholar
  20. Hanushek, E. A., Kain, J. F., Markman, J. M., & Rivkin, S. G. (2003). Does peer ability affect student achievement? Journal of Applied Econometrics, 18, 527–544.CrossRefGoogle Scholar
  21. Hanushek, E. A., Kain, J. F., & Rivkin, S. G. (2002). New evidence about Brown v. Board of Education: The complex effects of school racial composition on achievement (Working Paper 8741). Cambridge, MA: National Bureau of Economic Research.Google Scholar
  22. Klein, S. P., Kuh, G. D., Chun, M., Hamilton, L., & Shavelson, R. (2005). An approach to measuring cognitive outcomes across higher education institutions. Research in Higher Education, 46(3), 251–276.CrossRefGoogle Scholar
  23. Klein, S., Liu, O. L., Sconing, J., Bolus, R., Bridgeman, B., Kugelmass, H., Nemeth, A., Robbins, S., & Steedle, J. (2009). Test validity study report. Prepared under a grant from the fund for the improvement of postsecondary education. www.voluntarysystem.org/docs/reports/TVSReport_Final.pdf.
  24. Koretz, D. (2008). Measuring up: What educational testing really tells us. Cambridge, MA: Harvard University Press.Google Scholar
  25. Little, R. J. A., & Rubin, D. B. (1987). Statistical analysis with missing data. New York: Wiley.Google Scholar
  26. Nettles, M. T., Millett, C. M., & Ready, D. D. (2003). Attacking the African American-white achievement gap on college admissions tests. In D. Ravitch (Ed.), Brookings papers on education policy (pp. 215–252). Washington, DC: Brookings Institution Press.Google Scholar
  27. Pascarella, E. (1989). The development of critical thinking: Does college make a difference? Journal of College Student Development, 30(1), 19–26.Google Scholar
  28. Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: A third decade of research. San Francisco: Jossey-Bass.Google Scholar
  29. Planty, M., Hussar, W., Snyder, T., Kena, G., KewalRamani, A., Kemp, J., et al. (2009). The condition of education 2009 (NCES 2009-081). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.Google Scholar
  30. Raudenbush, S., & Bryk, A. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage Publications.Google Scholar
  31. Ready, D. D., & Silander, M. (2009, April). School racial composition and young children’s cognitive development: Isolating family, neighborhood, and school influences. Presented at the conference looking to the future: Legal and policy options for racially integrated education in the south and the nation, Chapel Hill, NC.Google Scholar
  32. Sander, R. (2004). A systematic analysis of affirmative action in American law schools. Stanford Law Review, 57, 367–461.Google Scholar
  33. Schafer, J. L. (1997). Analysis of incomplete multivariate data. London: Chapman & Hall.CrossRefGoogle Scholar
  34. Seltzer, M. (1995). Furthering our understanding of the effects of educational programs via a slopes-as-outcomes framework. Educational Evaluation and Policy Analysis, 17, 295–304.Google Scholar
  35. Shavelson, R. (2007). A brief history of student learning assessment. Washington, DC: Association of American Colleges and Universities.Google Scholar
  36. Shavelson, R., & Huang, L. (2003). Responding favorably to the frenzy to assess learning in higher education. Change, 35(1), 10–19.CrossRefGoogle Scholar
  37. Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage Publications.Google Scholar
  38. Sowell, T. (1989). Choosing a college: A guide for parents and students. New York: Harper Collins.Google Scholar
  39. Stevens, M. L., Armstrong, E. A., & Arum, R. (2008). Sieve, incubator, temple, hub: Empirical and theoretical advances in the sociology of higher education. Annual Review of Sociology, 34, 127–151. doi:10.1146/annurev.soc.34.040507.134737.CrossRefGoogle Scholar
  40. Winter, D., McClelland, D., & Stewart, A. (1981). A new case for the liberal arts: Assessing institutional goals and student development. San Francisco: Jossey-Bass.Google Scholar
  41. Zwick, R., & Sklar, J. C. (2005). Predicting college grades and degree completion using high school grades and SAT scores: The role of student ethnicity and first language. American Educational Research Journal, 42(3), 439–464.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Council for Aid to EducationNew YorkUSA
  2. 2.Teachers CollegeColumbia UniversityNew YorkUSA

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