IDEAS home Printed from https://ideas.repec.org/a/tpr/edfpol/v9y2014i4p46-80.html
   My bibliography  Save this article

Does Failing a Placement Exam Discourage Underprepared Students from Going to College?

Author

Listed:
  • Paco Martorell

    (School of Education, University of California Davis)

  • Isaac McFarlin, Jr.

    (Gerald Ford School of Public Policy, University of Michigan)

  • Yu Xue

    (The University of Texas at Dallas Education Research Center)

Abstract

About one third of college students are required to take remedial courses. Assignment to remediation is generally made on the basis of performance on a placement exam. When students are required to take a placement exam prior to enrolling in college-level courses, assignment to remediation may dissuade students from actually going to college. This is because remediation could increase the time required to complete a degree (because remedial courses do not count toward academic degrees), and also because being identified as needing remediation might have stigma effects or provide students with new information about their unsuitability for college. This paper examines this issue empirically using administrative data from Texas. Using regression discontinuity methods, we find that students whose placement exam scores would require them to be in remediation are no less likely to enroll in college than are students who score just above the remediation placement cutoff.

Suggested Citation

  • Paco Martorell & Isaac McFarlin, Jr. & Yu Xue, 2014. "Does Failing a Placement Exam Discourage Underprepared Students from Going to College?," Education Finance and Policy, MIT Press, vol. 10(1), pages 46-80, November.
    • Handle: RePEc:tpr:edfpol:v:9:y:2014:i:4:p:46-80
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/EDFP_a_00151
    Download Restriction: Access to PDF is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Eric P. Bettinger & Bridget Terry Long, 2009. "Addressing the Needs of Underprepared Students in Higher Education: Does College Remediation Work?," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. Claudia Goldin & Lawrence F. Katz & Ilyana Kuziemko, 2006. "The Homecoming of American College Women: The Reversal of the College Gender Gap," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 133-156, Fall.
    3. Jessica S. Howell & Michal Kurlaender & Eric Grodsky, 2010. "Postsecondary preparation and remediation: Examining the effect of the early assessment program at California State University," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 726-748.
    4. Paco Martorell & Isaac McFarlin, 2011. "Help or Hindrance? The Effects of College Remediation on Academic and Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 436-454, May.
    5. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    6. Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2010. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 95-117, April.
    7. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    8. John P. Papay & John B. Willett & Richard J. Murnane, 2011. "High-School Exit Examinations and the Schooling Decisions of Teenagers: A Multi-Dimensional Regression-Discontinuity Analysis," NBER Working Papers 17112, National Bureau of Economic Research, Inc.
    9. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    10. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    11. Papay, John P. & Willett, John B. & Murnane, Richard J., 2011. "Extending the regression-discontinuity approach to multiple assignment variables," Journal of Econometrics, Elsevier, vol. 161(2), pages 203-207, April.
    12. Juan Carlos Calcagno & Bridget Terry Long, 2008. "The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance," NBER Working Papers 14194, National Bureau of Economic Research, Inc.
    13. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    14. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    15. Manski, Charles F., 1989. "Schooling as experimentation: a reappraisal of the postsecondary dropout phenomenon," Economics of Education Review, Elsevier, vol. 8(4), pages 305-312, August.
    16. Alan Barreca & Melanie Guldi & Jason M. Lindo & Glen R. Waddell, 2010. "Running and Jumping Variables in RD Designs," Working Papers 1001, Tulane University, Department of Economics.
    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. Duchini, Emma, 2017. "Is college remedial education a worthy investment? New evidence from a sharp regression discontinuity design," Economics of Education Review, Elsevier, vol. 60(C), pages 36-53.
    2. Clémentine Van Effenterre, 2017. "Post 16 remedial policies: a literature review," CVER Research Papers 005, Centre for Vocational Education Research.

    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. Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2010. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 95-117, April.
    2. Michal Kurlaender & Lester Lusher & Matthew Case, 2020. "Is Early Start a Better Start? Evaluating California State University's Early Start Remediation Policy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 348-375, March.
    3. Fletcher, Jason M. & Tokmouline, Mansur, 2017. "The Effects of Academic Probation on College Success: Regression Discontinuity Evidence from Four Texas Universities," IZA Discussion Papers 11232, Institute of Labor Economics (IZA).
    4. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Bauer, Thomas K. & Bender, Stefan & Paloyo, Alfredo R. & Schmidt, Christoph M., 2012. "Evaluating the labor-market effects of compulsory military service," European Economic Review, Elsevier, vol. 56(4), pages 814-829.
    7. Juan Carlos Calcagno & Bridget Terry Long, 2008. "The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance," NBER Working Papers 14194, National Bureau of Economic Research, Inc.
    8. 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.
    9. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    10. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    11. Dobkin, Carlos & Ferreira, Fernando, 2010. "Do school entry laws affect educational attainment and labor market outcomes?," Economics of Education Review, Elsevier, vol. 29(1), pages 40-54, February.
    12. Samuel Berlinski & Sebastian Galiani & Patrick J. McEwan, 2011. "Preschool and Maternal Labor Market Outcomes: Evidence from a Regression Discontinuity Design," Economic Development and Cultural Change, University of Chicago Press, vol. 59(2), pages 313-344.
    13. Del Bono, Emilia & Francesconi, Marco & G. Best, Nicky, 2011. "Health information and health outcomes: an application of the regression discontinuity design to the 1995 UK contraceptive pill scare case," ISER Working Paper Series 2011-16, Institute for Social and Economic Research.
    14. Yang He & Otávio Bartalotti, 2020. "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 211-231.
    15. Aidan G. O'Keeffe & Gianluca Baio, 2016. "Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(4), pages 978-995, December.
    16. Nivorozhkina, Ludmila & Nivorozhkin, Anton & Abazieva, Kamilla, 2010. "Drop in consumption associated with retirement. The regression discontinuity design approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 19(3), pages 112-126.
    17. Jin-young Choi & Myoung-jae Lee, 2017. "Regression discontinuity: review with extensions," Statistical Papers, Springer, vol. 58(4), pages 1217-1246, December.
    18. Strazzeri, Maurizio, 2021. "Assessing the Role of Asylum Policies in Refugees' Labor Market Integration: The Case of Protection Statuses in the German Asylum System," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242395, Verein für Socialpolitik / German Economic Association.
    19. Butcher, Kristin F. & McEwan, Patrick J. & Taylor, Corrine H., 2010. "The effects of quantitative skills training on college outcomes and peers," Economics of Education Review, Elsevier, vol. 29(2), pages 187-199, April.
    20. Judith Scott-Clayton & Olga Rodriguez, 2014. "Development, Discouragement, or Diversion? New Evidence on the Effects of College Remediation Policy," Education Finance and Policy, MIT Press, vol. 10(1), pages 4-45, November.

    More about this item

    Keywords

    placement exams; college remediation;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General

    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:9:y:2014:i:4:p:46-80. 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: Kelly McDougall (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.