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Enhancing the Generalizability of Impact Studies in Education

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  • Elizabeth Tipton
  • Robert B. Olsen

Abstract

This guide will help researchers design and implement impact studies in education so that the findings are more generalizable to the study's target population.

Suggested Citation

  • Elizabeth Tipton & Robert B. Olsen, "undated". "Enhancing the Generalizability of Impact Studies in Education," Mathematica Policy Research Reports 35d5625333dc480aba9765b3b, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:35d5625333dc480aba9765b3b683af2f
    as

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    File URL: https://www.mathematica.org/-/media/publications/pdfs/education/2022/ies_enhancing_generlizability_impact_studies.pdf
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    References listed on IDEAS

    as
    1. Robert Tibshirani & Guenther Walther & Trevor Hastie, 2001. "Estimating the number of clusters in a data set via the gap statistic," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(2), pages 411-423.
    2. repec:mpr:mprres:5863 is not listed on IDEAS
    3. Larry V. Hedges & E. C. Hedberg, 2013. "Intraclass Correlations and Covariate Outcome Correlations for Planning Two- and Three-Level Cluster-Randomized Experiments in Education," Evaluation Review, , vol. 37(6), pages 445-489, December.
    4. Elizabeth A. Stuart & Stephen R. Cole & Catherine P. Bradshaw & Philip J. Leaf, 2011. "The use of propensity scores to assess the generalizability of results from randomized trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 369-386, April.
    5. Elizabeth Tipton, 2021. "Beyond generalization of the ATE: Designing randomized trials to understand treatment effect heterogeneity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 504-521, April.
    6. Larry L. Orr & Robert B. Olsen & Stephen H. Bell & Ian Schmid & Azim Shivji & Elizabeth A. Stuart, 2019. "Using the Results from Rigorous Multisite Evaluations to Inform Local Policy Decisions," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(4), pages 978-1003, September.
    7. Colm O'Muircheartaigh & Larry V. Hedges, 2014. "Generalizing from unrepresentative experiments: a stratified propensity score approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(2), pages 195-210, February.
    8. Michael J. Weiss & Howard S. Bloom & Thomas Brock, 2014. "A Conceptual Framework For Studying The Sources Of Variation In Program Effects," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(3), pages 778-808, June.
    9. Peter Z. Schochet, "undated". "Statistical Power for Random Assignment Evaluations of Education Programs," Mathematica Policy Research Reports 6749d31ad72d4acf988f7dce5, Mathematica Policy Research.
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