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Why have Educational Evaluators Chosen Not to Do Randomized Experiments?

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  • Thomas D. Cook

Abstract

This article analyzes the reasons that have been adduced within the community of educational evaluators for not doing randomized experiments. The objections vary in cogency. Those that have most substance are not insurmountable, however, and strategies are mentioned for dealing with them. However, the objections are serious enough, and the remedies partial enough, that it seems hardly warranted to call experiments the “gold standard†of causal inference. Yet even if they are not perfect in research practice, this article shows how they are logically and empirically superior to all currently known alternatives. The article particularly addresses the objection that school personnel will not accept experiments. It shows that hundreds of them have been done there by researchers with backgrounds in psychology and public health who study the prevention of unhealthy behaviors. But experiments are much rarer among researchers trained in education who study changing academic performance. Reasons are adduced for this difference in academic culture within school-based research.

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  • Thomas D. Cook, 2003. "Why have Educational Evaluators Chosen Not to Do Randomized Experiments?," The ANNALS of the American Academy of Political and Social Science, , vol. 589(1), pages 114-149, September.
  • Handle: RePEc:sae:anname:v:589:y:2003:i:1:p:114-149
    DOI: 10.1177/0002716203254764
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    References listed on IDEAS

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    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    3. repec:mpr:mprres:1795 is not listed on IDEAS
    4. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    5. Cecilia Elena Rouse, 1998. "Private School Vouchers and Student Achievement: An Evaluation of the Milwaukee Parental Choice Program," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(2), pages 553-602.
    6. Friedlander, Daniel & Robins, Philip K, 1995. "Evaluating Program Evaluations: New Evidence on Commonly Used Nonexperimental Methods," American Economic Review, American Economic Association, vol. 85(4), pages 923-937, September.
    7. Steven Glazerman & Dan M. Levy & David Myers, "undated". "Nonexperimental Replications of Social Experiments: A Systematic Review," Mathematica Policy Research Reports 9e8a2edf60ef4fa89ad9a5acf, Mathematica Policy Research.
    8. Eric A. Hanushek, "undated". "The Evidence on Class Size," Wallis Working Papers WP10, University of Rochester - Wallis Institute of Political Economy.
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    11. Mark Dynarski & Robert Wood, 1997. "Helping High-Risk Youths: Results from the Alternative Schools Demonstration Program," Mathematica Policy Research Reports b10f23da06064e5ca34f56a27, Mathematica Policy Research.
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    Cited by:

    1. Xi Chen & Yan Liu & Cheng Zhang, 2022. "Distinguishing Homophily from Peer Influence Through Network Representation Learning," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1958-1969, July.

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