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How manipulating test scores affects school accountability and student achievement

Author

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  • Erich Battistin

    (Queen Mary University of London, UK, and IZA, Germany)

Abstract

Standardized testing has become the accepted means of measuring a school’s quality. However, the associated rise in test-based accountability creates incentives for schools, teachers, and students to manipulate test scores. Illicit behavior may also occur in institutional settings where performance standards are weak. These issues are important because inaccurate measurement of student achievement leads to poor or ineffective policy conclusions. The consequences of mismeasured student achievement for policy conclusions have been documented in many institutional contexts in Europe and North America, and guidelines can be devised for the future.

Suggested Citation

  • Erich Battistin, 2016. "How manipulating test scores affects school accountability and student achievement," IZA World of Labor, Institute of Labor Economics (IZA), pages 295-295, September.
  • Handle: RePEc:iza:izawol:journl:y:2016:n:295
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    References listed on IDEAS

    as
    1. Scott E. Carrell & Frederick V. Malmstrom & James E. West, 2008. "Peer Effects in Academic Cheating," Journal of Human Resources, University of Wisconsin Press, vol. 43(1).
    2. Battistin, Erich & De Nadai, Michele & Vuri, Daniela, 2017. "Counting rotten apples: Student achievement and score manipulation in Italian elementary Schools," Journal of Econometrics, Elsevier, vol. 200(2), pages 344-362.
    3. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    4. Bertoni, Marco & Brunello, Giorgio & Rocco, Lorenzo, 2013. "When the cat is near, the mice won't play: The effect of external examiners in Italian schools," Journal of Public Economics, Elsevier, vol. 104(C), pages 65-77.
    5. Ming‐Jen Lin & Steven D. Levitt, 2020. "Catching Cheating Students," Economica, London School of Economics and Political Science, vol. 87(348), pages 885-900, October.
    6. Lucifora, Claudio & Tonello, Marco, 2015. "Cheating and social interactions. Evidence from a randomized experiment in a national evaluation program," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 45-66.
    7. Derek Neal, 2013. "The Consequences of Using One Assessment System To Pursue Two Objectives," NBER Working Papers 19214, National Bureau of Economic Research, Inc.
    8. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 843-877.
    9. Derek Neal, 2013. "The Consequences of Using one Assessment System to Pursue two Objectives," The Journal of Economic Education, Taylor & Francis Journals, vol. 44(4), pages 339-352, October.
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    Cited by:

    1. Stephen Machin & Matteo Sandi, 2020. "Autonomous Schools and Strategic Pupil Exclusion," The Economic Journal, Royal Economic Society, vol. 130(625), pages 125-159.
    2. Erich Battistin & Lorenzo Neri, 2017. "School Performance, Score Inflation and Economic Geography," Working Papers 837, Queen Mary University of London, School of Economics and Finance.
    3. Bertoni, Marco & Brunello, Giorgio & De Benedetto, Marco Alberto & De Paola, Maria, 2019. "External Monitors and Score Manipulation in Italian Schools: Symptomatic Treatment or Cure?," IZA Discussion Papers 12591, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    cheating; score manipulation; standardized testing;
    All these keywords.

    JEL classification:

    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy

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