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Using an Experimental Evaluation of Charter Schools to Test Whether Nonexperimental Comparison Group Methods Can Replicate Experimental Impact Estimates

Author

Listed:
  • Kenneth Fortson
  • Natalya Verbitsky-Savitz
  • Emma Kopa
  • Philip Gleason

Abstract

Using data from Mathematica's experimental evaluation of charter schools, this methodological study examines the validity of four different comparison group approaches to test whether these designs can replicate findings from a well-implemented random assignment study.

Suggested Citation

  • Kenneth Fortson & Natalya Verbitsky-Savitz & Emma Kopa & Philip Gleason, 2012. "Using an Experimental Evaluation of Charter Schools to Test Whether Nonexperimental Comparison Group Methods Can Replicate Experimental Impact Estimates," Mathematica Policy Research Reports 27f871b5b7b94f3a80278a593, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:27f871b5b7b94f3a80278a5933cdfb1b
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/education/expereval_charterschools.pdf
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Helen F. Ladd & Charles T. Clotfelter & John B. Holbein, 2017. "The Growing Segmentation of the Charter School Sector in North Carolina," Education Finance and Policy, MIT Press, vol. 12(4), pages 536-563, Fall.
    2. Philip M. Gleason & Christina Clark Tuttle & Brian Gill & Ira Nichols-Barrer & Bing-ru Teh, 2014. "Do KIPP Schools Boost Student Achievement?," Education Finance and Policy, MIT Press, vol. 9(1), pages 36-58, January.
    3. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," CID Working Papers 364, Center for International Development at Harvard University.
    4. repec:mpr:mprres:7821 is not listed on IDEAS
    5. Patrick L. Baude & Marcus Casey & Eric A. Hanushek & Gregory R. Phelan & Steven G. Rivkin, 2020. "The Evolution of Charter School Quality," Economica, London School of Economics and Political Science, vol. 87(345), pages 158-189, January.
    6. Caitlin Kearns & Douglas Lee Lauen & Bruce Fuller, 2020. "Competing With Charter Schools: Selection, Retention, and Achievement in Los Angeles Pilot Schools," Evaluation Review, , vol. 44(2-3), pages 111-144, April.
    7. repec:mpr:mprres:7927 is not listed on IDEAS
    8. Fatih Unlu & Douglas Lee Lauen & Sarah Crittenden Fuller & Tiffany Berglund & Elc Estrera, 2021. "Can Quasi‐Experimental Evaluations That Rely On State Longitudinal Data Systems Replicate Experimental Results?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(2), pages 572-613, March.
    9. Katherine Baicker & Theodore Svoronos, 2019. "Testing the Validity of the Single Interrupted Time Series Design," NBER Working Papers 26080, National Bureau of Economic Research, Inc.
    10. Christina Clark Tuttle & Brian Gill & Philip Gleason & Virginia Knechtel & Ira Nichols-Barrer & Alexandra Resch, "undated". "KIPP Middle Schools: Impacts on Achievement and Other Outcomes," Mathematica Policy Research Reports 4e2030d4eef1429395a8dd457, Mathematica Policy Research.
    11. Vivian C. Wong & Peter M. Steiner, 2018. "Designs of Empirical Evaluations of Nonexperimental Methods in Field Settings," Evaluation Review, , vol. 42(2), pages 176-213, April.
    12. Ira Nichols-Barrer & Joshua Haimson, 2013. "Impacts of Five Expeditionary Learning Middle Schools on Academic Achievement," Mathematica Policy Research Reports e4330aa3795e4e87a89ea4b52, Mathematica Policy Research.
    13. repec:mpr:mprres:7680 is not listed on IDEAS
    14. Vivian C. Wong & Peter M. Steiner & Kylie L. Anglin, 2018. "What Can Be Learned From Empirical Evaluations of Nonexperimental Methods?," Evaluation Review, , vol. 42(2), pages 147-175, April.
    15. Brian Goesling & Joanne Lee, 2015. "Improving the Rigor of Quasi-Experimental Impact Evaluations: Lessons for Teen Pregnancy Prevention Researchers," Mathematica Policy Research Reports f4f8b24cbf874a3989d87cf89, Mathematica Policy Research.
    16. Brian Gill & Joshua Furgeson & Hanley S. Chiang & Bing-Ru Teh & Joshua Haimson & Natalya Verbitsky-Savitz, "undated". "Replicating Experimental Impact Estimates with Nonexperimental Methods in the Context of Control Crossover," Mathematica Policy Research Reports 2798055510274fa9b4fdfa54b, Mathematica Policy Research.
    17. Ben Weidmann & Luke Miratrix, 2021. "Lurking Inferential Monsters? Quantifying Selection Bias In Evaluations Of School Programs," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 964-986, June.
    18. Robin Jacob & Marie-Andree Somers & Pei Zhu & Howard Bloom, 2016. "The Validity of the Comparative Interrupted Time Series Design for Evaluating the Effect of School-Level Interventions," Evaluation Review, , vol. 40(3), pages 167-198, June.
    19. Sarah R. Cohodes, 2016. "Teaching to the Student: Charter School Effectiveness in Spite of Perverse Incentives," Education Finance and Policy, MIT Press, vol. 11(1), pages 1-42, Winter.

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