IDEAS home Printed from https://ideas.repec.org/a/sae/evarev/v41y2017i5p391-402.html
   My bibliography  Save this article

Editor in Chief’s Comment: External Validity in Systematic Reviews

Author

Listed:
  • Jacob Alex Klerman

Abstract

No abstract is available for this item.

Suggested Citation

  • Jacob Alex Klerman, 2017. "Editor in Chief’s Comment: External Validity in Systematic Reviews," Evaluation Review, , vol. 41(5), pages 391-402, October.
    • Handle: RePEc:sae:evarev:v:41:y:2017:i:5:p:391-402
    DOI: 10.1177/0193841X17746740
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0193841X17746740
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0193841X17746740?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Robert B. Olsen & Larry L. Orr & Stephen H. Bell & Elizabeth A. Stuart, 2013. "External Validity in Policy Evaluations That Choose Sites Purposively," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(1), pages 107-121, January.
    2. Thomas D. Cook, 2014. "Generalizing Causal Knowledge In The Policy Sciences: External Validity As A Task Of Both Multiattribute Representation And Multiattribute Extrapolation," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(2), pages 527-536, March.
    3. Diane Paulsell & Jaime Thomas & Shannon Monahan & Neil S. Seftor, "undated". "A Trusted Source of Information: How Systematic Reviews Can Support User Decisions About Adopting Evidence-Based Programs," Mathematica Policy Research Reports d637ad38ce7649ae84a7ddf06, Mathematica Policy Research.
    4. Chen, Huey T., 2010. "The bottom-up approach to integrative validity: A new perspective for program evaluation," Evaluation and Program Planning, Elsevier, vol. 33(3), pages 205-214, August.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    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. Elizabeth A. Stuart & Anna Rhodes, 2017. "Generalizing Treatment Effect Estimates From Sample to Population: A Case Study in the Difficulties of Finding Sufficient Data," Evaluation Review, , vol. 41(4), pages 357-388, August.
    2. Sarah A. Avellar & Jaime Thomas & Rebecca Kleinman & Emily Sama-Miller & Sara E. Woodruff & Rebecca Coughlin & T’Pring R. Westbrook, 2017. "External Validity: The Next Step for Systematic Reviews?," Evaluation Review, , vol. 41(4), pages 283-325, August.
    3. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
    4. Elizabeth Tipton & Laura R. Peck, 2017. "A Design-Based Approach to Improve External Validity in Welfare Policy Evaluations," Evaluation Review, , vol. 41(4), pages 326-356, August.
    5. Wendy Chan, 2018. "Applications of Small Area Estimation to Generalization With Subclassification by Propensity Scores," Journal of Educational and Behavioral Statistics, , vol. 43(2), pages 182-224, April.
    6. Sharples, Linda D., 2018. "The role of statistics in the era of big data: Electronic health records for healthcare research," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 105-110.
    7. 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.
    8. Elizabeth Tipton & Kelly Hallberg & Larry V. Hedges & Wendy Chan, 2017. "Implications of Small Samples for Generalization: Adjustments and Rules of Thumb," Evaluation Review, , vol. 41(5), pages 472-505, October.
    9. Rajeev Dehejia & Cristian Pop-Eleches & Cyrus Samii, 2021. "From Local to Global: External Validity in a Fertility Natural Experiment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 217-243, January.
    10. repec:mpr:mprres:8128 is not listed on IDEAS
    11. Esterling, Kevin M. & Brady, David & Schwitzgebel, Eric, 2023. "The Necessity of Construct and External Validity for Generalized Causal Claims," I4R Discussion Paper Series 18, The Institute for Replication (I4R).
    12. Andrews, Isaiah & Oster, Emily, 2019. "A simple approximation for evaluating external validity bias," Economics Letters, Elsevier, vol. 178(C), pages 58-62.
    13. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
    14. Elizabeth Tipton, 2014. "How Generalizable Is Your Experiment? An Index for Comparing Experimental Samples and Populations," Journal of Educational and Behavioral Statistics, , vol. 39(6), pages 478-501, December.
    15. Peter Z. Schochet, "undated". "Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs," Mathematica Policy Research Reports a0c005c003c242308a92c02dc, Mathematica Policy Research.
    16. Xinkun Nie & Guido Imbens & Stefan Wager, 2021. "Covariate Balancing Sensitivity Analysis for Extrapolating Randomized Trials across Locations," Papers 2112.04723, arXiv.org.
    17. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    18. Archibald, Thomas, 2015. "“They Just Know”: The epistemological politics of “evidence-based” non-formal education," Evaluation and Program Planning, Elsevier, vol. 48(C), pages 137-148.
    19. Urban, Jennifer Brown & Hargraves, Monica & Trochim, William M., 2014. "Evolutionary Evaluation: Implications for evaluators, researchers, practitioners, funders and the evidence-based program mandate," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 127-139.
    20. Brian Goesling & Sarah Oberlander & Lisa Trivits, 2017. "High-Stakes Systematic Reviews," Evaluation Review, , vol. 41(1), pages 27-49, February.
    21. Arnaud Vaganay, 2016. "Cluster Sampling Bias in Government-Sponsored Evaluations: A Correlational Study of Employment and Welfare Pilots in England," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-21, August.

    More about this item

    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:sae:evarev:v:41:y:2017:i:5:p:391-402. 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: SAGE Publications (email available below). General contact details of provider: .

    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.