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The Review of Black Political Economy

, Volume 43, Issue 2, pp 209–232 | Cite as

Black-White Disparities in Test Scores: Distributional Characteristics

  • Ronald Fernandes
  • Inhyuck Steve HaEmail author
  • Susan Williams McElroy
  • Samuel L. MyersJr.
Article
  • 373 Downloads

Abstract

This paper investigates the distributional characteristics of racial differences in mathematics achievement, with particular attention to the potential influence of unexplained, and possibly unwarranted, racial differentials in rates of school suspension. It is well known that black students consistently score lower than whites on achievement tests, on average, even after controlling for family and schooling factors. Using data from the National Longitudinal Survey of Youth 1997 cohort, we decompose the racial gap in mathematics test scores from the Peabody Individual Achievement Test-Revised (PIAT-R) into a component due to racial differences in underlying characteristics and another component that is unexplained by differences in measured characteristics. We account for the possible endogeneity of suspensions in our analysis and show that the portion of the racial gap that is unexplained differs between the top and the bottom of the test score distribution. Our results suggest that researchers should pay more attention to the problem of concentration of black students among those at the bottom of the distribution and their scarcity among those at the top of the test score distribution to better understand the factors that account for the observed disparities.

Keywords

Racial disparity Distributional characteristics Suspensions Mathematics achievement Test scores Achievement tests Peabody Individual Achievement Test-Revised (PIAT-R) National Longitudinal Survey of Youth (NLSY) 
JEL Classsification I12 I30 J15 

References

  1. Almlund M, Duckworth AL, Heckman JJ, Kautz T. Personality Psychology and Economics. Handbook of the Economics of Education Vol. 4, North Holland; 2011.Google Scholar
  2. American Guidance Service. Publication summary form: Peabody Individual Achievement Test-Revised (PIAT-R) Technical Information. 2001. Available at http://www.agsnet.com/pubsum/PIATRNU.html Accessed 14 Mar 2001.
  3. Atkinson RC, Geiser S. Reflections on a century of college admission tests. Educ Res. 2009;38(9):665–76.CrossRefGoogle Scholar
  4. Bay Area School Reform Collaborative. The color of discipline: understanding racial disparity in school discipline practices. 2001.Google Scholar
  5. Beady CH Jr, Beady MO. A systemic approach to creating an effective academic environment for African American students: lessons from a private school. Occasional Paper #7. Cleveland: Urban Child Research Center; 1993.Google Scholar
  6. Bempechat J. Against the odds: how “at-risk” children exceed expectations. San Francisco: Jossey-Bass Publishers; 1998.Google Scholar
  7. Blinder AS. Wage Discrimination: Reduced Form and Structural Estimates. J Hum Resour. 1973;8(4):436–55.Google Scholar
  8. Bloom HS, Hill CJ, Black AR, Lipsey MW. Performance trajectories and performance gaps as achievement effect-size benchmarks for educational interventions. MDRC Working Papers on Research methodology. MDRC: October; 2008.Google Scholar
  9. Bok D, Bowen W. The shape of the river: long-term consequences of considering race in college and university admissions. Princeton: Princeton University Press; 2000.Google Scholar
  10. Borghans L, Duckworth AL, Heckman JJ, Weel BT. The Economics and Psychology of Personality Traits. J Hum Resour. 2008;34(4):972–1059.Google Scholar
  11. Bound J, Jaeger DA, Baker RM. Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak. J Am Stat Assoc. 1995;90(430):443–50.Google Scholar
  12. Brooks-Gunn J, Klevanov PK, Duncan GJ. Ethnic Differences in children’s intelligence test scores: role of economic deprivation, home environment, and maternal characteristics. Child Dev. 1996;67(2):396–408.CrossRefGoogle Scholar
  13. Caldas SJ. Reexamination of input and process factor effects on public school achievement. J Educ Res. 1993;86(4):206–14.CrossRefGoogle Scholar
  14. Ceci SJ. On intelligence … more or less: a bio-ecological treatise on intellectual development. Englewood Cliffs: Prentice-Hall; 1990.Google Scholar
  15. Christner C, Moede LH, Douglas S, Washington W, Thomas T. Priority schools: the fourth year. Evaluation findings, 1990-91. Austin: Austin Independent School District, Tex. Office of Research and Evaluation; 1991. ERIC microfiche collection ED339095.Google Scholar
  16. Clotfelter CT, Ladd HF, Vigdor JL. The academic achievement gap in grades 3 to 8. Rev Econ Stat. 2009;91(2):398–419.CrossRefGoogle Scholar
  17. Coleman JS, Campbell EQ, Hobson CJ, McPortland J, Moody AM, Weinfield FD, et al. Equality of educational opportunity. Washington, D.C.: U.S. Department of Health, Education, and Welfare, Office of Education, U.S. Government Printing Office; 1966.Google Scholar
  18. Comer JP, Haynes NM, Hamilton-Lee M. School power: a model for improving black student achievement. Urban League Rev. 1987–88;11(1–2):187–200.Google Scholar
  19. Cotton J Discrimination and Favoritism in the U.S. Labor Market: The Cost to a Wage Earner of Being Female and Black and the Benefit of Being Male and White. Am J Eco and Soc. 1988;47(1):15–28.Google Scholar
  20. Crane J. Effects of home environment, SES, and maternal test scores on mathematics achievement. J Educ Res. 1996;89(5):305–14.CrossRefGoogle Scholar
  21. Crossland FE. Minority access to college. A Ford Foundation Report. New York: Shocken Books; 1971.Google Scholar
  22. Currie J, Thomas D. Race, children’s cognitive achievement and the Bell curve. Labor and Population Program, Working Paper Series, 95-19-1. New York: Rand Institute; 1995.Google Scholar
  23. Darity WA, Mason PL. Evidence on Discrimination in Employment: Codes of Color. Codes of Gender J Eco Pervs. 1998;12(2):63–90.Google Scholar
  24. Davis JD. Proposals for improving NAEP mathematics assessment of black youth. Paper commissioned by the Study Group on the National Assessment of Student Achievement. ERIC Document Reproduction Service No. ED279674; 1986.Google Scholar
  25. Downey DB. Black/White differences in school performance: the oppositional culture explanation. Annu Rev Sociol. 2008;34:107–26.CrossRefGoogle Scholar
  26. Druian G. Effective schooling and at-risk youth: what the research shows. Portland: Northwest Regional Educational Laboratory, Goal Based Education Program; 1986.Google Scholar
  27. Duncan K, Sandy J. Using the Blinder-Oaxaca decomposition method to measure racial bias in achievement tests. Rev Black Polit Econ. 2013;40:185–206.CrossRefGoogle Scholar
  28. Edwards J. Review of Peabody individual achievement test-revised by F. D. Markwardt. J Psychoeduc Assess. 1989;7:264–71.CrossRefGoogle Scholar
  29. Ehrenberg RG, Brewer DJ. Did teachers’ verbal ability and race matter in the 1960s? Coleman revisited. Econ Educ Rev. 1995;14(1):1–21.CrossRefGoogle Scholar
  30. Espenshade TJ, Chung CY. Standardized admission tests, college performance, and campus diversity. Office of Population Research, Princeton University; 2010.Google Scholar
  31. Evans DA. The effect of student mobility on academic achievement. ERIC Document Reproduction Service No. ED400048; 1996.Google Scholar
  32. Ferguson RF. Racial patterns in how school and teacher quality affect achievement and earnings. Challenge J Res Black Males. 1991;2(1):1–35.Google Scholar
  33. Fischer CS, Hout M, Jankowski MS, Lucas SR, Swidler A, Voss K. Inequality by design: cracking the Bell Curve myth. Princeton: Princeton University Press; 1996.Google Scholar
  34. Fomby P, Mollborn S, Sennott CA. Race/ethnic differences in effects of family instability on adolescents’ risk behavior. J Marriage Fam. 2010;72(2):234–53.CrossRefGoogle Scholar
  35. Fryer RG, Levitt SD. The Black-White test score gap through third grade. Am Law Econ Rev. 2006;8(2):249–81 (Special issue on Brown v. Board of Education).CrossRefGoogle Scholar
  36. Gerald D, Haycock K. Engines of inequality: diminishing equity in the nation’s premier public universities. Washington, DC: The Education Trust; 2006.Google Scholar
  37. Gordon R, Piana LD, Keleher T. Facing the consequences: an examination of racial discrimination in U.S. public schools. Oakland: Applied Research Center; 2000.Google Scholar
  38. Greene WH. Econometric. Analysis, 5th ed. Prentice Hill; 2003.Google Scholar
  39. Heckman JJ. Detecting Discrimination. J Econ Perspect. 1998;12(2):101–16.Google Scholar
  40. Heckman JJ, Urzua S. VytlacilI E. Understanding Instrumental Variables in Models with Essential Heterogeneity. IZA Discussion Paper Series No 2320. 2006.Google Scholar
  41. Herrnstein RJ, Murray C. The Bell Curve: intelligence and class structure in American life. New York: The Free Press; 1994.Google Scholar
  42. Ingersoll GM, Scamman JP, Eckerling WD. Geographic mobility and student achievement in an urban setting. Educ Eval Policy Anal. 1989;11(2):143–9.CrossRefGoogle Scholar
  43. Jencks C, Phillips M, editors. The Black-White test score gap. Washington, D.C.: Brookings Institute Press; 1998.Google Scholar
  44. Johnson ST. Test fairness and bias: measuring academic achievement among Black youth. In: Smith WDM, Chunn EW, editors. Black education: a quest for equity and excellence. New Brunswick: Transaction Publishers; 1989. p. 76–92.Google Scholar
  45. Johnson T, Boyden JE, Pittz W, editors. Racial profiling and punishment in U.S. public schools: how zero tolerance policies and high stakes testing subvert academic excellence and racial equity. Oakland: Applied Research Center; 2001.Google Scholar
  46. Koenker R, Hallock KF. Quantile regression. J Econ Perspect. 2001;15(4):143–56.CrossRefGoogle Scholar
  47. Kohl H. “I won’t learn from you” and other thoughts on creative maladjustment. New York: New Press; 1994.Google Scholar
  48. Kozol J. Savage inequalities: children in America’s schools. New York: Crown; 1991.Google Scholar
  49. Landis B. Blacks disciplined at higher rate. Providence J. 2001.Google Scholar
  50. Markwardt Jr FC. Peabody individual achievement test-revised. Circle Pines: American Guidance Service, Inc.; 1989.Google Scholar
  51. McDaniel E, Mack VH. Involving minority parents of at-risk children. A parent/school partnership. Durham: Durham County Schools, North Carolina; 1992. ERIC microfiche collection ED358533.Google Scholar
  52. Menacker J. Equal educational opportunity: is it an issue of race or socioeconomic status? Urban Educ. 1990;25(3):317–25.CrossRefGoogle Scholar
  53. Murnane RJ, Levy FS. Why money matters sometimes: a two-part management lesson from East Austin, Texas. Educ Week. 1996;16(2):48.Google Scholar
  54. Myers Jr SL. Measuring and detecting discrimination in the post-civil rights era. In: Stanfield II JH, Dennis RM, editors. Race and ethnicity in research methods, volume 157. Newbury Park: Sage Publications; 1993. p. 172–97.Google Scholar
  55. Myers Jr SL, Kim H, Mandala CM. The effect of school poverty on racial gaps in test scores: the case of the Minnesota basic standards tests. J Negro Educ. 2004;73(1):83–98.CrossRefGoogle Scholar
  56. Neal DA, Johnson WR. The role of premarket factors in Black-White wage differences. J Polit Econ. 1996;104(5):869–95. http://links.jstor.org/sici?sici=0022-3808%28199610%29104%3A5%3C869%3ATROPFI%3E2.0.CO%3B2-8.
  57. Neisser U, editor. The rising curve: long-term gains in IQ and related measures. Washington, DC: American Psychological Association; 1998.Google Scholar
  58. Niu SX, Tienda M. Minority student academic performance under the uniform admission law: evidence from the University of Texas at Austin. Educ Eval Policy Anal. 2010;32(1):44–69.CrossRefGoogle Scholar
  59. Oaxaca R Male-Female Wage Differentials in Urban Labor Markets. Int Econ Rev. 1973;14(3):693–709.Google Scholar
  60. Orfield G, Eaton S, the Harvard Project on School Desegregation. Dismantling desegregation: the quiet reversal of Brown v. Board of Education. New York: The New Press; 1996.Google Scholar
  61. Rodgers WM, Spriggs WE. What does the AFQT really measure: race, wages, schooling, and the AFQT score? Rev Black Polit Econ. 1996;24(4):13–46.CrossRefGoogle Scholar
  62. Rodney HE, Mupier R. Behavioral differences between African American male adolescents with biological fathers and those without biological fathers in the home. J Black Stud. 1999;30(1):45–61.CrossRefGoogle Scholar
  63. Schuler DB. Effects of family mobility on student achievement. ERS Spectr J Sch Res Inf. 1990;8(4):17–24.Google Scholar
  64. Skiba RJ. Zero tolerance, zero evidence: an analysis of school disciplinary practice. Bloomington: Indiana University Education Policy Center; 2000.Google Scholar
  65. Soares JA. The power of privilege: Yale and America’s elite colleges. Stanford: Stanford University Press; 2007.Google Scholar
  66. Special Report: The SAT as a major roadblock to Black students’ aspirations to higher education. The Persistent Racial Scoring Gap on the SAT. J Blacks High Educ. 2000;29:85–8.Google Scholar
  67. Straits BC. Residence, migration, and school progress. Sociol Educ. 1987;60(1):34–43.CrossRefGoogle Scholar
  68. Townsend BL. The disproportionate discipline of African American learners: reducing school suspensions and expulsions. Except Child. 2000;66(3):381–91.Google Scholar
  69. Venezky RL, Kaestle CF, Sum AR. The subtle danger—reflections on the literacy abilities of America’s young adults. Report No. 16 CAEP.01. Princeton: Center for the Assessment of Educational Progress, Educational Testing Service; 1987.Google Scholar
  70. Waters TZ. Mobility and reading achievement. M.A. Project, Kean College of New Jersey. ERIC Document Reproduction Service No. ED394126; 1996.Google Scholar
  71. Yancey WL, Saporito SJ. Racial and economic segregation and educational outcomes: one tale—two cities. Publication Series #95-6. Paper presented at the Conference of the National Center on Education in the Inner Cities, Philadelphia, PA. ERIC microfiche collection ED389804. 1994. http://www.eric.ed.gov/ERICDocs/data/ericdocs2sql/content_storage_01/0000019b/80/29/b3/1a.pdf

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Ronald Fernandes
    • 1
  • Inhyuck Steve Ha
    • 2
    Email author
  • Susan Williams McElroy
    • 3
  • Samuel L. MyersJr.
    • 4
  1. 1.School of Public ServiceDePaul UniversityChicagoUSA
  2. 2.College of BusinessWestern Carolina UniversityCullowheeUSA
  3. 3.School of Economic, Political and Policy SciencesThe University of Texas at DallasRichardsonUSA
  4. 4.Hubert H. Humphrey School of Public AffairsUniversity of MinnesotaMinneapolisUSA

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