IDEAS home Printed from https://ideas.repec.org/a/bla/ajecsc/v65y2006i2p435-462.html
   My bibliography  Save this article

Why Do Some Schools Group by Ability?

Author

Listed:
  • Peter G. VanderHart

Abstract

. This article explores the reasons that schools choose to group their students by ability. A mathematical model suggests that high diversity of achievement and a large number of students in a school will cause a school to be more likely to group. Less legitimately, some schools may choose to use ability grouping to segregate students by race or class within a school. The data used in this study come from the 1992 NAEP 8th grade Mathematics Assessment. Cross‐tabulations suggest that ability grouping is correlated with diversity of student achievement, the number of students, racial diversity, and low levels of poverty. The mean achievement of students and school spending levels do not have much correlation with the schools’ tracking decisions. Logit regressions indicate that the number of students in a school and its racial diversity are most important, and that other factors (most notably the diversity of achievement) are not. These results lend credence to those who suggest that grouping is not necessarily done for academic reasons, but rather is a subtle way to segregate by race or class.

Suggested Citation

  • Peter G. VanderHart, 2006. "Why Do Some Schools Group by Ability?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 65(2), pages 435-462, April.
  • Handle: RePEc:bla:ajecsc:v:65:y:2006:i:2:p:435-462
    DOI: 10.1111/j.1536-7150.2006.00458.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1536-7150.2006.00458.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1536-7150.2006.00458.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Laura M. Argys & Daniel I. Rees & Dominic J. Brewer, 1996. "Detracking America's schools: Equity at zero cost?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 15(4), pages 623-645.
    2. Rees, Daniel I. & Argys, Laura M. & Brewer, Dominic J., 1996. "Tracking in the United States: Descriptive statistics from NELS," Economics of Education Review, Elsevier, vol. 15(1), pages 83-89, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huang, Fung-Mey & Liao, Jen-Che & Yi, Chin-Chun, 2020. "The impact of labor market work and educational tracking on student educational outcomes: Evidence from Taiwan," Economics of Education Review, Elsevier, vol. 77(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marisa Hidalgo-Hidalgo, 2007. "On the optimal allocation of students when peer effect works: Tracking vs Mixing," Working Papers 07.14, Universidad Pablo de Olavide, Department of Economics.
    2. Epple, Dennis & Newlon, Elizabeth & Romano, Richard, 2002. "Ability tracking, school competition, and the distribution of educational benefits," Journal of Public Economics, Elsevier, vol. 83(1), pages 1-48, January.
    3. Marisa Hidalgo, 2005. "Peer Group Effects And Optimal Education System," Working Papers. Serie AD 2005-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    4. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    5. repec:zbw:rwidps:0002 is not listed on IDEAS
    6. Kang, Changhui, 2007. "Classroom peer effects and academic achievement: Quasi-randomization evidence from South Korea," Journal of Urban Economics, Elsevier, vol. 61(3), pages 458-495, May.
    7. Ron W Zimmer & Eugenia F Toma, 2000. "Peer effects in private and public schools across countries," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 75-92.
    8. Steven Dieterle & Cassandra M. Guarino & Mark D. Reckase & Jeffrey M. Wooldridge, 2015. "How do Principals Assign Students to Teachers? Finding Evidence in Administrative Data and the Implications for Value Added," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(1), pages 32-58, January.
    9. Haejung Paik, 2000. "Comments on Neural Networks," Sociological Methods & Research, , vol. 28(4), pages 425-453, May.
    10. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    11. Gordon Dahl & Dan-Olof Rooth & Anders Stenberg, 2020. "High School Majors, Comparative (Dis)Advantage, and Future Earnings," NBER Working Papers 27524, National Bureau of Economic Research, Inc.
    12. Kelly Bedard & Chau Do, 2005. "Are Middle Schools More Effective?: The Impact of School Structure on Student Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    13. Nicole Schneeweis, 2011. "Educational institutions and the integration of migrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(4), pages 1281-1308, October.
    14. Cummins, Joseph R., 2017. "Heterogeneous treatment effects in the low track: Revisiting the Kenyan primary school experiment," Economics of Education Review, Elsevier, vol. 56(C), pages 40-51.
    15. Sebastian Galiani & Ricardo Perez-Truglia, 2013. "School Management in Developing Countries," CEDLAS, Working Papers 0147, CEDLAS, Universidad Nacional de La Plata.
    16. Roel van Elk & Marc van der Steeg & Dinand Webbink, 2009. "The effect of early tracking on participation in higher education," CPB Document 182.rdf, CPB Netherlands Bureau for Economic Policy Analysis.
    17. Matthias Effinger & Mattias Polborn, 1999. "A model of vertically differentiated education," Journal of Economics, Springer, vol. 69(1), pages 53-69, February.
    18. Fertig, Michael, 2003. "Educational Production, Endogenous Peer Group Formation and Class Composition - Evidence From the PISA 2000 Study," RWI Discussion Papers 2, RWI - Leibniz-Institut für Wirtschaftsforschung.
    19. Marc Piopiunik, 2021. "How Does Reducing the Intensity of Tracking Affect Student Achievement? Evidence from German State Reforms," CESifo Working Paper Series 9214, CESifo.
    20. Patrick McEwan, 2001. "The Effectiveness of Public, Catholic, and Non-Religious Private Schools in Chile's Voucher System," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 103-128.
    21. Christopher Belfield & Imran Rasul, 2020. "Cognitive and Non‐Cognitive Impacts of High‐Ability Peers in Early Years," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 65-100, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:ajecsc:v:65:y:2006:i:2:p:435-462. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0002-9246 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.