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Distributive Justice Antecedents of Race and Gender Disparities in First-Year College Performance

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Abstract

Public education is a sphere of society in which distributive justice with respect to the allocation of opportunities to learn can have profound and lasting effects on students’ educational outcomes. We frame our study in the distributive justice literature, and define just outcomes specifically from a meritocratic and strict egalitarian perspectives in order to investigate how assignment to academic tracks and the availability of opportunities to learn during high school are associated with students’ academic achievement during college. We examine the role of “just” placement into high school academic tracks, “just” access to high-quality teachers, and “just” assignment of secondary schools’ resources in high school, in relation to college freshmen’s grade point averages (GPA). We utilize longitudinal data from a unique dataset with over 15,000 students who spent their academic careers in North Carolina public secondary schools and then attended North Carolina public universities. Our results suggest that “unjust” assignment of students to certain high schools, access to high-quality teachers, and assignment to learn in specific academic tracks result in long-lasting consequences that are reflected in freshman college GPA. Importantly, findings also show that the direction and magnitude of the relationship between distributional injustice at schools and college performance is moderated by students’ own gender and race. Race and gender interact with the high schools’ institutional contexts operationalized by tracking practices, teacher quality, and by school racial and socioeconomic composition. Results show that similar settings do not affect all students in the same ways.

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Notes

  1. This research is supported by a grant to the authors from the National Science Foundation’s Science, Technology, Engineering, and Mathematics Talent Expansion Program (STEP) [Grant Number DUE-0969286]. All errors and interpretations are those of the authors. The authors are grateful to Scott Fitzgerald for his insights about distributive justice and incisive commentary on an earlier draft. Direct all correspondence regarding this manuscript to the third author at RoslynMickelson@uncc.edu. We employ the term (in)justice to problematize the concepts we investigate in this study. Doing so denotes our perspective that the distributional practices of the educational institutions in North Carolina may or may not contribute to just outcomes for the students they serve.

  2. Although public education is the responsibility of the 50 states and is guided by their state constitutions and laws, the US Constitution’s Supremacy Clause (Article VI, Section 2) establishes that the US Constitution, federal statues, and treaties are the “the supreme law of the land” and thus set the broader legal framework within which all states must operate their public schools.

  3. The plaintiffs in Leandro were families and school districts in low-wealth regions in North Carolina who wanted the state to provide sufficient funding to bring their school budgets in line with the higher-wealth districts. The decision did not go so far as to mandate funding equality across the state, but it’s ruling that all students have a right to a “sound basic education” set a floor for provision of opportunities to learn, thereby taking an important step toward ensuring that students in impoverished areas would receive adequate educational opportunities (Dorosin & Largess, 2015).

  4. Like other southern states, North Carolina’s public colleges and universities were once formally segregated by race. The legal segregation of North Carolina universities ended in 1955 (Breen, 2010). At present, there are proportionately more White students attending historically Black colleges and universities in North Carolina than there are Blacks attending many of the predominantly White colleges. This demographic mix is often the case in the HBCU’s professional and graduate programs.

  5. Hanushek and Woessmann (2006) compared differences in student outcomes between primary and secondary schools across European countries that did and did not track their students. They report early tracking increased inequality in student outcomes. Schofield (2010) synthesized European literature on the practice and its outcomes.

  6. There are other positions regarding what entails distributive justice such as: Equality of opportunity and luck egalitarianism, welfare-based principles, desert-based principles, libertarian principles, and feminist principles.

  7. While there were Latinos, Asians, and American Indians in the sample, their numbers were too small to analyze thus we focus only on Black–White comparisons. Using list-wise deletion and focusing on only Black and White youth reduced the working sample to roughly 14,000 students from the population of 21,000 NC high school graduates who matriculated to a UNC campus in 2004.

  8. We note that our analytic sample of college-bound students leaves out high school graduates that never attended college, attended private, out-of-state, or 2 year community colleges.

  9. We adjust for the fact that North Carolina State University gives 4.333 for an A+. See http://policies.ncsu.edu/regulation/reg-02-50-03.

  10. The End-of-Grade (EOG) examinations are mandated standardized tests that students in North Carolina take in middle school. They are intended to measure student performance on the goals, objectives, and grade-level competencies specified in the North Carolina Standard Course of Study. We recognize that the use of students’ scores on a standardized examination in 8th grade is a problematic measure of prior achievement because it already encompasses a number of limitations given the bias of standardized tests and the fact that 8th grade scores are themselves the consequence of many experiences of distributive (in)justice students have had in the past. Nevertheless, while acknowledging these limitations, we utilize this measure as our approximation of students’ previous achievement (merit).

  11. The average is 64 % of White students at high schools in our sample and 27 % of students are on free/reduced lunch, the available measure of poverty we employ.

  12. Figures 1, 2, 3, and 4 present predicted probabilities of freshman performance because there is no way we can know what the actual GPAs would have been at different values of some of our distributive justice variables. Using our model of predicted coefficients for all variables, we create hypothetical situations and predict what the GPAs would have been at different values of our distributive justice values when the values of all other variables are held to their average values. We are not able to generate predicted probabilities of track placement or racial composition of schools.

  13. Several scholars have suggested that a just distribution of educational opportunity absent greater justice in race, gender, and class stratification across other social institutions, organizations, and cultural norms is unlikely to eliminate inequality more generally (Anyon, 1997; Jencks et al., 1972).

References

  • Aikman, S., & Unterhalter, E. (Eds.) (2005). Beyond access: Transforming policy and practice for gender equality in education. Oxfam.

  • Anyon, J. (1997). Ghetto schooling. New York: Routledge.

    Google Scholar 

  • Bankston, C., & Caldas, S. J. (1996). Majority black schools and the perpetuation of social injustice: The influence of de facto segregation on academic achievement. Social Forces, 75(2), 535–555.

    Article  Google Scholar 

  • Black, S. E., Lincove, J. A., Cullinane, J., & Veron, R. (2014). Can you leave high school behind? NBER Working Paper #1982. National Bureau of Economic Research.

  • Borman, K. M., Eitle, T., Michael, D., Eitle, D. J., Lee, R., Johnson, L., & Shircliffe, B. (2004). Accountability in a postdesegregation era: The continuing significance of racial segregation. American Educational Research Journal, 41(3), 605–631.

    Article  Google Scholar 

  • Bornstein, B. H., Gervais, S. J., Dietrich, H. L., & Escamilla, J. (2014). All else being equal: Overcoming the egalitarian norm. In B. H. Bornstein & R. L. Wiener (Eds.), Justice, conflict and wellbeing (pp. 3–30). New York: Springer.

    Google Scholar 

  • Bottia, M., Stearns, E., Mickelson, R., Moller, S., & Valentino, L. (2015). Growing the roots of STEM majors: Female math and science high school faculty and the participation of students in STEM. Economics of Education Review, 45, 14–27.

    Article  Google Scholar 

  • Boyles, D., Carusi, T., & Attick, D. (2009). Historical and critical interpretations of social justice. In W. Ayers, T. Quinn, & D. Stovall (Eds.), Handbook of social justice in education (pp. 30–43). New York: Routledge.

    Google Scholar 

  • Braddock, J. H., & Eitle, T. M. (2003). The effects of school desegregation. In J. Banks & C. A. McGee (Eds.), Handbook of research on multicultural education. San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • Breen, T. (2010). University of North Carolina Celebrates 1955 Racial Integration Milestone. Diverse Issues in Higher Education. September, 21.

  • Brown v. Board of Education. (1954). 347 U.S. 483.

  • Buddin, R., & Zamarro, G. (2009). Teacher qualifications and student achievement in urban elementary schools. Journal of Urban Economics, 66, 103–115.

    Article  Google Scholar 

  • Card, D., & Rothstein, J. (2005). Racial segregation and the Black–White test score gap (Princeton University Industrial Relations Section, Working Paper No. 500). http://www.irs.princeton.edu/pubs/pdfs/500_revised.pdf

  • Chingos, M. M., & Peterson, P. E. (2011). It’s easier to pick a good teacher than to train one: Familiar and new results on the correlates of teacher effectiveness. Economics of Education Review, 30, 449–465.

    Article  Google Scholar 

  • Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2007). Teacher credentials and student achievement: Longitudinal analysis with student fixed effects. Economics of Education Review, 26, 673–682.

    Article  Google Scholar 

  • Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2015). Charlotte-Mecklenburg schools in context: Racial and economic imbalance at the district and state level, 1994–2012. In R. A. Mickelson, S. Smith, & A. H. Nelson (Eds.), Yesterday, today, and tomorrow: School desegregation and resegregation in Charlotte. Cambridge, MA: Harvard Education Press.

    Google Scholar 

  • Connell, R. W. (1993). Schools and social justice. Philadelphia: Temple University Press.

    Google Scholar 

  • Cook, K. S., & Hegtvedt, K. A. (1983). Distributive justice, equity, and equality. Annual Review of Sociology, 9, 217–241.

    Article  Google Scholar 

  • Crosnoe, R. (2009). Low-income students and the socioeconomic composition of public high schools. American Sociological Review, 74, 709–730.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dalbert, C. (2004). The implication and functions of just and unjust experience in school. In C. Dalberg & S. Hedvig (Eds.), The justice motive of adolescence and young adulthood (pp. 117–134). London: Routledge.

    Google Scholar 

  • Darby, D., & Saatcioglu, A. (2014). Race, justice, and desegregation. DuBois Review: Social Science Research on Race, 11(1), 87–108.

    Google Scholar 

  • Darling-Hammond, L. (2010). The flat world and education: How America’s commitment to equity will determine our future. New York: Teachers College Press.

    Google Scholar 

  • Dee, T. S., & Jacob, B. (2011). The impact of no child left behind on student achievement. Journal of Policy Analysis and Management, 30(3), 418–446.

    Article  Google Scholar 

  • DiPrete, T., & Buchman, C. (2013). The rise of women. New York: Russell Sage Foundation.

    Google Scholar 

  • Dorosin, M., & Largess, L. (2015). The law’s delay. In R. A. Mickelson, S. Smith, & A. H. Nelson (Eds.), Yesterday, today, and tomorrow: School desegregation and resegregation in Charlotte. Cambridge, MA: Harvard Education Press.

    Google Scholar 

  • Fletcher, J., & Tienda, M. (2010). Race and ethnic differences in college achievement: Does high school attended matter? The Annals of the American Academy of Political and Social Science, 627, 144–166.

    Article  PubMed  PubMed Central  Google Scholar 

  • Frohlich, N. (2007). A very short history of distributive justice. Social Justice Research, 20(2), 23–35.

    Article  Google Scholar 

  • Gay, G. (2002). Preparing for culturally responsive teaching. Journal of Teacher Education, 53(2), 106–116.

    Article  Google Scholar 

  • Godwin, R. K., Leland, S. M., Baxter, A. D., & Southworth, S. (2006). Sinking Swann: Public school choice and the resegregation of Charlotte’s public schools. Review of Policy Research, 23(5), 983–997.

    Article  Google Scholar 

  • Goldhaber, D., & Brewer, D. (1996). Evaluating the effect of teacher degree level on educational performance. Rockville, MD: WESTAT.

    Google Scholar 

  • Goldsmith, P. R. (2011). Coleman revisited: School segregation, peers, and frog ponds. American Educational Research Journal, 48, 508–535.

    Article  Google Scholar 

  • Hanushek, E. A., Kain, J. F., & Rivkin, S. G. (2009). New evidence about Brown v. Board of Education: The complex effects of school racial composition on achievement. Journal of Labor Economics, 27(3), 349–383.

    Article  Google Scholar 

  • Hanushek, E. A., & Woessmann, L. (2006). Does early tracking affect educational inequality and performance? Differences-in differences evidence across countries. Economic Journal, 116, C63–C76.

    Article  Google Scholar 

  • Harris, D. N., & Sass, T. (2011). Teacher training, teacher quality and student achievement. Journal of Public Economics, 95, 798–812.

    Article  Google Scholar 

  • Hilton, T. L., & Lee, V. E. (1988). Student interest and persistence in science: Changes in the educational pipeline in the last decade. The Journal of Higher Education, 59, 510–526.

    Article  Google Scholar 

  • Jackson, K. (2009). Student demographics, teacher sorting, and teacher quality: Evidence from the end of desegregation. Journal of Labor Economics, 27, 213–256.

    Article  Google Scholar 

  • Jencks, C., et al. (1972). Inequality: A reassessment of the effect of family and schooling in America. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Johnson, R. C. (2011). Long-run impacts of school desegregation & school quality on adult attainments (No. w16664). National Bureau of Economic Research.

  • Kahlenberg, R. D. (2001). All together now: The case for economic integration of the public schools. Washington, DC: Brookings Institution Press.

    Google Scholar 

  • Kelly, S. (2007). The contours of tracking in North Carolina. The High School Journal, 90(4), 15–31.

    Article  Google Scholar 

  • Kelly, S. (2009). The black–White gap in mathematics course taking. Sociology of Education, 82(1), 47–69.

    Article  Google Scholar 

  • Kuh, G. D., Cruce, T. M., Shoup, R., Kinzie, J., & Gonyea, R. M. (2008). Unmasking the effects of student engagement on first-year college grades and persistence. Journal of Higher Education, 79, 540–563.

    Article  Google Scholar 

  • Leandro v. State. (1997). 488 S.E.2d 249, 346 N.C. 336.

  • Lee, J., & Reeves, T. (2012). Revisiting the impact of NCLB high-stakes school accountability, capacity, and resources state NAEP 1990–2009 reading and math achievement gaps and trends. Educational Evaluation and Policy Analysis, 34(2), 209–231.

    Article  Google Scholar 

  • Leigh, A. (2010). Estimating teacher effectiveness from two-year changes in students’ test scores. Economics of Education Review, 29(3), 480–488.

    Article  Google Scholar 

  • Liebowitz, D., & Page, L. (2015). Residential choice as school choice. In R. A. Mickelson, S. Smith, & A. H. Nelson (Eds.), Yesterday, today, and tomorrow: School desegregation and resegregation in Charlotte. Cambridge, MA: Harvard Education Press.

    Google Scholar 

  • Liu, A. (2011). Unraveling the myth of meritocracy within the context of US higher education. Higher Education, 62(4), 383–397.

    Article  Google Scholar 

  • Lleras, C. (2008). Race, racial concentration, and the dynamics of educational inequality across urban and suburban schools. American Educational Research Journal, 45(4), 886–912.

    Article  Google Scholar 

  • Lucas, S. R. (1999). Tracking inequality: Stratification and mobility in American high schools. New York: Teachers College Press.

    Google Scholar 

  • Lucas, S. R., & Berends, M. (2002). Sociodemographic diversity, correlated achievement, and de facto tracking. Sociology of Education, 75, 328–348.

    Article  Google Scholar 

  • Massey, D., & Fischer, M. (2006). The effect of childhood segregation on minority academic performance at selective colleges. American Law and Economics Review, 8, 390–409.

    Article  Google Scholar 

  • Mickelson, R. A. (2001). Subverting swann: First- and second- generation segregation in Charlotte, North Carolina. American Educational Research Journal, 38(2), 215–252.

    Article  Google Scholar 

  • Mickelson, R. A. (2006). Segregation and the SAT. Ohio State Law Journal, 67, 157–199.

    Google Scholar 

  • Mickelson, R. A. (2014). The problem of the color line in 21st century sociology of education: Researching and theorizing demographic change, segregation, and school outcomes. Social Currents, 1(2), 157–165.

    Article  Google Scholar 

  • Mickelson, R. A., Bottia, M., & Lambert, R. (2013a). A meta-regression analysis of the effects of school and classroom composition on mathematics outcomes. Review of Educational Research, 83, 121–158.

    Article  Google Scholar 

  • Mickelson, R. A., Bottia, M., Larimore, S., & Lambert, R. (2015a). Does school racial composition matter for achievement? Findings from metaregression analyses of the effects of school racial and ethnic composition on K-12 reading and mathematics test scores since 1990. In E. Frankenberg (Ed.), Education and civil rights: Obstacles and opportunities for supporting racial diversity and equity across the educational pipeline. New York: Teachers College Press (forthcoming).

    Google Scholar 

  • Mickelson, R. A., & Everitt, B. (2008). Neotracking in North Carolina: How high school courses of study reproduce race and class-based stratification. Teachers College Record, 110(3), 535–570.

    Google Scholar 

  • Mickelson, R., Giersch, J., Stearns, E., & Moller, S. (2013b). How (and Why) NCLB failed to close the achievement gap: Evidence from North Carolina, 1998–2004. ECI Interdisciplinary Journal for Legal and Social Policy, 3(1), 2–23.

    Google Scholar 

  • Mickelson, R. A., & Nkomo, M. (2012). Integrated schooling, life-course outcomes, and social cohesion in multiethnic democratic societies. Review of Research in Education, 36, 197–238.

    Article  Google Scholar 

  • Mickelson, R. A., Smith, S. S., & Nelson, A. H. (2015b). Yesterday, Today, and Tomorrow: School desegregation and resegregation in Charlotte. Cambridge: Harvard Education Press.

    Google Scholar 

  • Nichols, S., Glass, G., & Berliner, D. (2012). High-stakes testing and student achievement: Updated analyses with NAEP data. Education Policy Analysis Archives, 20, 20.

    Article  Google Scholar 

  • Nielsen, K. (1979). Radical Egalitarian justice: Justice as equality. Social Theory and Practice, 5, 209–226.

    Article  Google Scholar 

  • No Child Left Behind (NCLB) Act of 2001. (2002) Pub. L. No. 107-110, § 115, Stat. 1425.

  • North Carolina Department of Public Instruction. Evolution of the ABCs. http://www.ncpublicschools.org/docs/accountability/reporting/abc/2009-10/abcevolution.pdf. Accessed 4/30/2013.

  • Oakes, J. (2005). Keeping track: How schools structure inequality. New Haven, CT: Yale University Press.

    Google Scholar 

  • Orfield, G., & Frankenberg, E. (2014). Increasingly segregated and unequal schools as courts reverse policy. Educational Administration Quarterly, 50(5), 718–734.

    Article  Google Scholar 

  • Palardy, G. J. (2013). High school socioeconomic segregation and student attainment. American Educational Research Journal, 50(4), 714–754.

    Article  Google Scholar 

  • Preckel, F., Goetz, T., Pekrun, R., & Kleine, M. (2008). Gender differences in gifted and average-ability students: Comparing girls’ and boys’ achievement, self-concept, interest, and motivation in mathematics. Gifted Child Quarterly, 52(2), 146–159.

    Article  Google Scholar 

  • Raudenbusch, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods. Beverly Hills, CA: Sage.

    Google Scholar 

  • Rawls, J. (1999). A theory of justice, revised edition. Cambridge: Harvard University Press.

    Google Scholar 

  • Resh, N. (2010). Sense of justice about grades in school: Is it stratified like academic achievement? Social Psychology of Education, 13, 313–329.

    Article  Google Scholar 

  • Resh, N., & Sabbagh, C. (2009). Justice in teaching. In L. Saha & G. Sadownik (Eds.), International handbook on teachers and teaching (pp. 669–682). Heidelberg: Springer.

    Chapter  Google Scholar 

  • Rice, J. K. (2010). The impact of teacher experience: Examining the evidence and policy implications. Brief No. 11. National center for analysis of longitudinal data in education research.

  • Riordan, C. (1990). Girls and boys in school: Together or separate?. New York: Teachers College Press.

    Google Scholar 

  • Roscignio, V., Tomaskovic-Devey, D., & Crowley, M. (2006). Education and the inequalities of place. Social Forces, 84(4), 2121–2145.

    Article  Google Scholar 

  • Rumberger, R., & Palardy, G. (2005). Does segregation still matter? The impact of student composition on academic achievement in high school. The Teachers College Record, 107(9), 1999–2045.

    Google Scholar 

  • Sadker, M., & Sadker, D. (1995). Failing at fairness: How our schools cheat girls. New York: Simon & Schuster.

    Google Scholar 

  • Schofield, J. (2010). International evidence on ability grouping with curriculum differentiation and the achievement gap in secondary schools. The Teachers College Record, 112, 8–9.

    Google Scholar 

  • Sen, A. (2000). Merit and justice. In Meritocracy and economic inequality (pp. 5–16). NJ: Princeton University Press.

  • Seymour, E., & Hewitt, N. (1997). Talking about leaving: Why undergraduates leave the sciences. Boulder, CO: Westview.

    Google Scholar 

  • Shepelak, N. J., & Alwin, D. F. (1986). Beliefs about inequality and perceptions of distributive justice. American Sociological Review, 51, 30–46.

    Article  Google Scholar 

  • Southworth, S., & Mickelson, R. A. (2007). The interactive effects of race, gender, and high school racial composition on college track placement. Social Forces, 82(2), 497–523.

    Article  Google Scholar 

  • Teranishi, R., & Parker, T. (2010). Social reproduction of inequality: The racial composition of feeder schools to the University of California. Teachers College Record, 112, 1575–1601.

    Google Scholar 

  • Thrupp, M., & Lupton, R. (2006). Taking school contexts more seriously: The social justice challenge. British Journal of Educational Studies, 54(3), 308–328.

    Article  Google Scholar 

  • Tyson, K. (2011). Integration interrupted: Black and White after Brown. New York: Oxford University Press.

    Book  Google Scholar 

  • Van Ewijk, R., & Sleegers, P. (2010). Peer ethnicity and achievement: A meta-analysis into the compositional effect. School Effectiveness and School Improvement, 21, 237–265.

    Article  Google Scholar 

  • Walzer, M. (1983). Spheres of justice: A defense of pluralism and equality. New York: Basic Books.

    Google Scholar 

  • Walzer, M. (1995). Education, democratic citizenship and multiculturalism. Journal of Philosophy and Education, 29, 181–189.

    Article  Google Scholar 

  • Watanabe, M. (2008). Tracking accountability in the era of high stakes state accountability reform: Case studies of classroom instruction in North Carolina. Teachers College Record, 110, 489–543.

    Google Scholar 

  • Welner, K. G. (2001). Legal rights, local wrongs. Albany, NY: SUNY Press.

    Google Scholar 

  • Yun, J., & Moreno, J. F. (2006). College access, K-12 concentrated disadvantage, and the next 25 years of education research. Educational Researcher, 35, 12–19.

    Article  Google Scholar 

  • Zajda, J., Majhanovich, S., & Rust, V. (Eds.). (2006). Education and social justice. Dordrecht: Springer.

    Google Scholar 

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Bottia, M.C., Giersch, J., Mickelson, R.A. et al. Distributive Justice Antecedents of Race and Gender Disparities in First-Year College Performance. Soc Just Res 29, 35–72 (2016). https://doi.org/10.1007/s11211-015-0242-x

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