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Quality evidence for policymaking: I'll believe it when I see the replication

Author

Listed:
  • Annette N. Brown
  • Drew B. Cameron
  • Benjamin D. K. Wood
Abstract
In this paper, we make the case for replication as a crucial methodology for validating research used for evidence-based policymaking, especially in low- and middle-income countries. We focus on internal replication or the reanalysis of original data to address an original evaluation or research question. We review the current state of replication in the social sciences and present data on the trends among academic publications. We then discuss four challenges facing empirical research that internal replication can help to address. We offer a new typology of replication approaches for addressing these challenges. The types - pure replication, measurement and estimation analysis, and theory of change analysis - highlight that internal replication can test for consistency and statistical robustness but can and should also be used to ensure that a study fully explores possible theories of change in order to draw appropriate conclusions and recommendations for policymaking and programme design.

Suggested Citation

  • Annette N. Brown & Drew B. Cameron & Benjamin D. K. Wood, 2014. "Quality evidence for policymaking: I'll believe it when I see the replication," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 215-235, September.
    • Handle: RePEc:taf:jdevef:v:6:y:2014:i:3:p:215-235
    DOI: 10.1080/19439342.2014.944555
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    Cited by:

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    3. Wood, Benjamin Douglas Kuflick & Vasquez, Maria, 2018. "Microplots and food security: Encouraging replication studies of policy relevant research," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-12.
    4. Brown, Annette N. & Wood, Benjamin Douglas Kuflick, 2018. "Which tests not witch hunts: A diagnostic approach for conducting replication research," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-26.
    5. Cameron, Lisa & Olivia, Susan & Shah, Manisha, 2019. "Scaling up sanitation: Evidence from an RCT in Indonesia," Journal of Development Economics, Elsevier, vol. 138(C), pages 1-16.
    6. Freese, Jeremy & Peterson, David, 2017. "Replication in Social Science," SocArXiv 5bck9, Center for Open Science.
    7. Donovan, Kevin P., 2018. "The rise of the randomistas: on the experimental turn in international aid," SocArXiv xygzb, Center for Open Science.
    8. Eric W Djimeu & Anna C Heard, 2019. "Treatment of HIV among tuberculosis patients: A replication study of timing of antiretroviral therapy for HIV-1-associated tuberculosis," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-20, February.
    9. Emma McManus & David Turner & Tracey Sach, 2019. "Can You Repeat That? Exploring the Definition of a Successful Model Replication in Health Economics," PharmacoEconomics, Springer, vol. 37(11), pages 1371-1381, November.
    10. Cuong Viet Nguyen, 2016. "Impacts of rural road on household welfare in Vietnam: Evidence from a replication study," Economics Discussion Papers 2016-40, Kiel Institute for the World Economy (IfW Kiel).
    11. Wood, Benjamin D.K. & Dong, Michell, 2015. "Recalling Extra Data: A Replication Study of Finding Missing Markets," 2014: Food, Resources and Conflict, December 7-9, 2014. San Diego, California 206225, International Agricultural Trade Research Consortium.
    12. Eric W Djimeu & Anna Heard, 2020. "Replication of influential studies on biomedical, social, behavioural and structural interventions for HIV prevention and treatment," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-10, October.
    13. Laura Outhwaite & Jake Anders & Jo Van Herwegen, 2022. "Mathematics Attainment Falls Behind Reading in the Early Primary School Years," CEPEO Working Paper Series 22-06, UCL Centre for Education Policy and Equalising Opportunities, revised May 2022.

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