IDEAS home Printed from https://ideas.repec.org/a/tpr/edfpol/v10y2015i2p157-192.html
   My bibliography  Save this article

Bridging the Discontinuity in Adolescent Literacy? Mixed Evidence from a Middle Grades Intervention

Author

Listed:
  • Shaun M. Dougherty

    (Neag School of Education University of Connecticut)

Abstract

Strong literacy skills are crucial to ensuring an individual's future educational and economic success. Existing evidence suggests the transition from elementary to middle school is a decisive period for literacy development. In this paper I investigate the impact of extended learning time in literacy instruction on subsequent cognitive outcomes. I capitalize on the existence of a natural experiment born out of a district's use of an exogenously- determined cutoff in Iowa Test scores in fifth grade to assign students to an additional literacy course in middle school. My findings suggest that exposure to this intervention generates strong negative impacts for black students, and noisy positive impacts for white, Latino, and Asian students. My findings suggest that additional literacy instruction in middle school can have markedly different effects on students, and program differentiation or augmentation may be necessary to prevent harm for students of average literacy ability in fifth grade. © 2015 Association for Education Finance and Policy

Suggested Citation

  • Shaun M. Dougherty, 2015. "Bridging the Discontinuity in Adolescent Literacy? Mixed Evidence from a Middle Grades Intervention," Education Finance and Policy, MIT Press, vol. 10(2), pages 157-192, March.
    • Handle: RePEc:tpr:edfpol:v:10:y:2015:i:2:p:157-192
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/EDFP_a_00157
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elizabeth U. Cascio & Douglas O. Staiger, 2012. "Knowledge, Tests, and Fadeout in Educational Interventions," NBER Working Papers 18038, National Bureau of Economic Research, Inc.
    2. repec:mpr:mprres:6683 is not listed on IDEAS
    3. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    4. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    5. Joshua Goodman & KALENA CORTES & TAKAKO NOMI, "undated". "A Double Dose of Algebra," Working Paper 95911, Harvard University OpenScholar.
    6. Dave E. Marcotte & Steven W. Hemelt, 2008. "Unscheduled School Closings and Student Performance," Education Finance and Policy, MIT Press, vol. 3(3), pages 316-338, July.
    7. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    8. Rouse, Cecilia Elena & Krueger, Alan B., 2004. "Putting computerized instruction to the test: a randomized evaluation of a "scientifically based" reading program," Economics of Education Review, Elsevier, vol. 23(4), pages 323-338, August.
    9. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    10. Joshua Goodman, 2014. "Flaking Out: Student Absences and Snow Days as Disruptions of Instructional Time," NBER Working Papers 20221, National Bureau of Economic Research, Inc.
    11. Victor Lavy, 2015. "Do Differences in Schools' Instruction Time Explain International Achievement Gaps? Evidence from Developed and Developing Countries," Economic Journal, Royal Economic Society, vol. 125(588), pages 397-424, November.
    12. Sims, David P., 2008. "Strategic responses to school accountability measures: It's all in the timing," Economics of Education Review, Elsevier, vol. 27(1), pages 58-68, February.
    13. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    14. Victor Lavy, 2010. "Do Differences in School's Instruction Time Explain International Achievement Gaps in Maths, Science and Language? Evidence from Developed and Developing Countries," CEE Discussion Papers 0118, Centre for the Economics of Education, LSE.
    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. Qiang Feng & Ming Li & Guangrong Ma, 2018. "Class Tracks And Education Outcomes: Evidence From A Chinese University," Contemporary Economic Policy, Western Economic Association International, vol. 36(2), pages 255-262, April.
    2. Vincenzo Andrietti & Xuejuan Su, 2019. "The Impact of Schooling Intensity on Student Learning: Evidence from a Quasi-Experiment," Education Finance and Policy, MIT Press, vol. 14(4), pages 679-701, Fall.

    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. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    2. Cortes, Kalena E. & Goodman, Joshua Samuel & Nomi, Takako, 2015. "Intensive Math Instruction and Educational Attainment," Scholarly Articles 34298862, Harvard Kennedy School of Government.
    3. Figlio, David & Holden, Kristian L. & Ozek, Umut, 2018. "Do students benefit from longer school days? Regression discontinuity evidence from Florida's additional hour of literacy instruction," Economics of Education Review, Elsevier, vol. 67(C), pages 171-183.
    4. Taylor, Eric, 2014. "Spending more of the school day in math class: Evidence from a regression discontinuity in middle school," Journal of Public Economics, Elsevier, vol. 117(C), pages 162-181.
    5. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47, pages 15-34.
    6. Barrios-Fernández, Andrés & Bovini, Giulia, 2021. "It’s time to learn: School institutions and returns to instruction time," Economics of Education Review, Elsevier, vol. 80(C).
    7. Thompson, Paul N., 2019. "Effects of Four-Day School Weeks on Student Achievement: Evidence from Oregon," IZA Discussion Papers 12204, Institute of Labor Economics (IZA).
    8. Battistin, Erich & Meroni, Elena Claudia, 2016. "Should we increase instruction time in low achieving schools? Evidence from Southern Italy," Economics of Education Review, Elsevier, vol. 55(C), pages 39-56.
    9. Elena Claudia Meroni & Giovanni Abbiati, 2014. "Gender differences in exposure to more instruction time. Evidence from Italy," Working Papers 064, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    10. Dörsam, Michael & Lauber, Verena, 2015. "The Effect of a Compressed High School Curriculum on University Grades: DiD-Evidence From a German Policy Shift," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112876, Verein für Socialpolitik / German Economic Association.
    11. Chen, Yi & Zhao, Yi, 2022. "The timing of first marriage and subsequent life outcomes: Evidence from a natural experiment," Journal of Comparative Economics, Elsevier, vol. 50(3), pages 713-731.
    12. Shaun M. Dougherty, 2018. "The Effect of Career and Technical Education on Human Capital Accumulation: Causal Evidence from Massachusetts," Education Finance and Policy, MIT Press, vol. 13(2), pages 119-148, Spring.
    13. María F. Prada & Graciana Rucci & Sergio S. Urzúa, 2015. "The Effect of Mandated Child Care on Female Wages in Chile," NBER Working Papers 21080, National Bureau of Economic Research, Inc.
    14. Thompson, Paul N., 2021. "Is four less than five? Effects of four-day school weeks on student achievement in Oregon," Journal of Public Economics, Elsevier, vol. 193(C).
    15. Vegas, E & Ganimian, A. J., 2013. "Theory and Evidence on Teacher Policies in Developed and Developing Countries," Working Paper 104291, Harvard University OpenScholar.
    16. Alessio Gaggero & Getinet Haile, 2020. "Does class size matter in postgraduate education?," Manchester School, University of Manchester, vol. 88(3), pages 489-505, June.
    17. Joshua Goodman & Michael Hurwitz & Jonathan Smith, "undated". "Access to Four-Year Public Colleges and Degree Completion," Working Paper 175226, Harvard University OpenScholar.
    18. Markus Frölich & Martin Huber, 2019. "Including Covariates in the Regression Discontinuity Design," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 736-748, October.
    19. María F. Prada & Graciana Rucci & Sergio S. Urzúa, 2015. "The Effect of Mandated Child Care on Female Wages in Chile," NBER Working Papers 21080, National Bureau of Economic Research, Inc.
    20. Andrew Dustan & Alain de Janvry & Elisabeth Sadoulet, 2017. "Flourish or Fail?: The Risky Reward of Elite High School Admission in Mexico City," Journal of Human Resources, University of Wisconsin Press, vol. 52(3), pages 756-799.

    More about this item

    Keywords

    literacy; education; economic; success; extended learning time; cognitive; fifth grade;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    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:tpr:edfpol:v:10:y:2015:i:2:p:157-192. 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: The MIT Press (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.