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A Two Decade Examination of Historical Race/Ethnicity Disparities in Academic Achievement by Poverty Status

Abstract

Research on achievement gaps by race/ethnicity and poverty status typically focuses on each gap separately, and recent syntheses suggest the poverty gap is growing while racial/ethnic gaps are narrowing. In this study, we used time-varying effect modeling to examine the interaction of race/ethnicity and poverty gaps in math and reading achievement from 1986–2005 for poor and non-poor White, Black, and Hispanic students in three age groups (5–6, 9–10, and 13–14). We found that across this twenty-year period, the gaps between poor White students and their poor Black and Hispanic peers grew, while the gap between non-poor Whites and Hispanics narrowed. We conclude that understanding the nature of achievement gaps requires simultaneous examination of race/ethnicity and income.

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References

  1. Baker, P. C., Keck, C. K., Mott, E. L., & Quinlan, S. V. (1993). NLSY child handbook, revised edition: A GUIDE TO the 19861990 National Longitudinal Survey of Youth Child Data. Columbus, OH: Center for Human Resource Research.

    Google Scholar 

  2. Barton, P. E., & Coley, R. J. (2010). The Black-White Achievement Gap: When progress stopped. Policy Information Report. Educational Testing Service.

  3. Bischoff, K., & Reardon, S. F. (2014). Residential segregation by income, 1970–2009. In J. R. Logan (Ed.), Diversity and disparities (pp. 208–233). New York, NY: Russell Sage Foundation.

    Google Scholar 

  4. Burchinal, M., McCartney, K., Steinberg, L., Crosnoe, R., Friedman, S. L., McLoyd, V., & Pianta, R. (2011). Examining the Black–White achievement gap among low‐income children using the NICHD study of early child care and youth development. Child Development, 82(5), 1404–1420. https://doi.org/10.1111/j.1467-8624.2011.01620.x.

    PubMed  Google Scholar 

  5. Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2006). The academic achievement gap in grades three to eight. NBER Working Paper, (12207).

  6. Duncan, G. J., & Magnuson, K. A. (2005). Can family socioeconomic resources account for racial and ethnic test score gaps? The Future of Children, 15(1), 35–54.

    PubMed  Article  Google Scholar 

  7. Duncan, G. J., Morris, P. A., & Rodrigues, C. (2011). Does money really matter? Estimating impacts of family income on young children’s achievement with data from random-assignment experiments. Developmental Psychology, 47(5), 1263–1279. https://doi.org/10.1037/a0023875.

    PubMed  PubMed Central  Google Scholar 

  8. Dunn, L. M., & Markwardt, F. C. (1970). Manual for the peabody individual achievement test. Circle Pines, MN: American Guidance Service.

    Google Scholar 

  9. Fryer, R. G., & Levitt, S. D. (2004). Understanding the Black-White test score gap in the first two years of school. Review of Economics and Statistics, 86(2), 447–464. https://doi.org/10.1162/003465304323031049.

    Google Scholar 

  10. Fryer, R. G., & Levitt, S. D. (2005). The Black-White test score gap through third grade. National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w11049.

  11. Fryer, R. G., & Levitt, S. D. (2006). The black-white test score gap through third grade. American Law and Economics Review, 8(2), 249–281. https://doi.org/10.1093/aler/ahl003.

    Google Scholar 

  12. Hemphill, F. C., & Vanneman, A. (2011). Achievement Gaps: How Hispanic and White Students in Public Schools Perform in Mathematics and Reading on the National Assessment of Educational Progress (NCES 2011–459). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.

  13. Lacour, M., & Tissington, L. D. (2011). The effects of poverty on academic achievement. Educational Research and Reviews, 6(7), 522–527.

    Google Scholar 

  14. Lanza, S. T., Vasilenko, S. A., Liu, X., Li, R., & Piper, M. E. (2014). Advancing the understanding of craving during smoking cessation attempts: A demonstration of the time-varying effect model. Nicotine & Tobacco Research, 16(Suppl_2), S127–S134. https://doi.org/10.1093/ntr/ntt128.

    Google Scholar 

  15. Li, R., Dziak, J. J., Tan, X., Huang, L., Wagner, A. T., & Yang, J. (2015). TVEM (time-varying effect model) SAS macro users’ guide (Version 3.1.0). University Park, PA: The Methodology Center, Penn State.

    Google Scholar 

  16. Loeb, S., Dynarski, S., McFarland, D., Morris, P., & Reardon, S. (2017). Descriptive analysis in education: A guide for researchers (NCEE 2017–4023). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance.

    Google Scholar 

  17. Magnuson, K. A., & Duncan, G. J. (2006). The role of family socioeconomic resources in the Black–White test score gap among young children. Developmental Review, 26(4), 365–399. https://doi.org/10.1016/j.dr.2006.06.004.

    Google Scholar 

  18. Murnane, R. J., Willett, J. B., Bub, K. L., & McCartney, K. (2006). Understanding trends in the Black–White achievement gaps during the first years of school. (Brookings-Warton Papers on Urban Affairs). Washington, DC: Brookings Institution Press.

  19. Neal, D. A. (2006). Why has Black-White skill convergence stopped? In E. A. Hanushek & F. Welch (Eds.), Handbook of the economics of education 1, (511–576). New York, NY: Elsevier.

    Google Scholar 

  20. Pac, J., Nam, J., Waldfogel, J., & Wimer, C. (2017). Young child poverty in the United States: Analyzing trends in poverty and the role of anti-poverty programs using the Supplemental Poverty Measure. Children and Youth Services Review, 74, 35–49. https://doi.org/10.1016/j.childyouth.2017.01.022.

    PubMed  PubMed Central  Google Scholar 

  21. Phillips, M., Crouse, J., & Ralph, J. (1998). Does the Black-White test score gap widen after children enter school? In C. Jencks & M. Phillips (Eds.), The Black-White test score gap (pp. 229–272). Washington, DC: Brookings Institution Press.

    Google Scholar 

  22. Reardon S. F. (2011). The widening academic achievement gap between the rich and the poor: new evidence and possible explanations. In R. Murnane & G. Duncan (Eds.), Whither Opportunity? Rising Inequality and the Uncertain Life Chances of Low-Income Children (pp. 91–116). New York: Sage Foundation.

  23. Reardon, S. F., & Galindo, C. (2009). The Hispanic-White achievement gap in math and reading in the elementary grades. American Educational Research Journal, 46(3), 853–891. https://doi.org/10.3102/0002831209333184.

    Google Scholar 

  24. Reardon, S. F., & Portilla, X. A. (2016). Recent trends in income, racial, and ethnic school readiness gaps at kindergarten entry. AERA Open, 2(3), 1–18. https://doi.org/2332858416657343.

    Article  Google Scholar 

  25. Reardon, S. F., & Robinson, J. P. (2008). Patterns and trends in racial/ethnic and socioeconomic academic achievement gaps. In H. F. Ladd & E. B. Fiske (Eds.), Handbook of research in education finance and policy (pp. 499–518). New York, NY: Routledge.

  26. Reardon, S. F., Valentino, R. A., Kalogrides, D., Shores, K. A., & Greenberg, E. H. (2013). Patterns and trends in racial academic achievement gaps among states, 1999–2011. Unpublished Working Paper. Center for Education Policy Analysis, Stanford University.

  27. Rothstein, J., & Wozny, N. (2013). Permanent income and the black-white test score gap. The Journal of Human Resources, 48(3), 509–544. https://doi.org/10.3368/jhr.48.3.510.

    Google Scholar 

  28. Shiyko, M. P., Burkhalter, J., Li, R., & Park, B. J. (2014). Modeling nonlinear time-dependent treatment effects: An application of the generalized time-varying effect model (TVEM). Journal of Consulting and Clinical Psychology, 82(5), 760–772. https://doi.org/10.1037/a0035267.

    PubMed  Google Scholar 

  29. Tan, X., Shiyko, M. P., Li, R., Li, Y., & Dierker, L. (2012). A time-varying effect model for intensive longitudinal data. Psychological Methods, 17(1), 61–77. https://doi.org/10.1037/a0025814.

    PubMed  Google Scholar 

  30. U.S. Department of Education, Institute for Education Sciences, National Center for Education Statistics. (2017). 2015 Mathematics and Reading Assessments, National Assessment of Educational Progress (NAEP) 2015. https://www.nationsreportcard.gov/reading_math_2015.

  31. Vigdor, J. L., & Ludwig, J. (2008). Segregation and the test score gap. In K. Magnuson & J. Waldfogel (Eds.), Steady gains and stalled progress: Inequality and the Black-White achievement gap (pp. 181–211). New York, NY: Russell Sage Foundation.

    Google Scholar 

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Authors’ Contributions

K.W.P., E.T.G., and M.K. all contributed to the conceptualization of research questions. K.W.P. lead the analysis and write-up, with help in the introduction and discussion by E.T.G. E.T.G. also copyedited the manuscript. M.K. provided consultation on analyses, graphical representations, interpretation, and overall editing. All authors read and approved the final manuscript.

Funding

The authors’ research is supported in part by a grant from the National Science Foundation (1519686, Principal Investigators (PIs): Elizabeth Gershoff and Robert Crosnoe). The views expressed here belong to the authors and do not reflect the views or policies of the funding agency.

Data Sharing Declaration

The datasets analyzed during the current study are available from the Bureau of Labor Statistics, https://www.bls.gov/nls/nlsy79ch.htm

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Correspondence to Katherine W. Paschall.

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The authors declare that they have no conflict of interest.

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This study reports on publicly available secondary data. The authors did not have access to personally identifying information or contact with participants.

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This study reports on publicly available secondary data. The authors did not have contact with participants.

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Paschall, K.W., Gershoff, E.T. & Kuhfeld, M. A Two Decade Examination of Historical Race/Ethnicity Disparities in Academic Achievement by Poverty Status. J Youth Adolescence 47, 1164–1177 (2018). https://doi.org/10.1007/s10964-017-0800-7

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Keywords

  • Achievement gap
  • Time-varying effect models
  • Poverty gap
  • Academic achievement