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Cited by 328

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Natural experiment methodology for research: a review of how different methods can support real-world research

Open access
Leatherdale, Scott T.·2019·International Journal of Social Research Methodology

Abstract

In particular research domains, the randomized control trial (RCT) is considered to be the only means for obtaining reliable estimates of the true impact of an intervention. However, an RCT design would often not be considered ethical, politically feasible, or appropriate for evaluating the impact of many policy, programme, or structural changes common in public health research. As such, researchers must use alternative yet robust research methods for determining the impact of such interventions. The evaluation of natural experiments (i.e. an intervention not controlled or manipulated by researchers), using various experimental and non-experimental design options can provide an alternative to the RCT. The following review highlights (a) the importance of evaluating natural experiments; (b) design considerations associated with evaluating natural experiments; (c) methods for reducing bias in natural experimental studies; and (d) the potential benefits of targeted systems to enable natural experiments in emerging priority domains moving forward.

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Metadata

Authors
Leatherdale, S. T.
Venue
International Journal of Social Research Methodology
Published
2018-07-02
Volume
22
Issue
1
Pages
19-35
ISSN
  • 1364-5579 (ISSN-L)
  • 1464-5300
OpenAlex
W2809826847
Cited by
328
References
23
FWCI
18.74
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Natural experiment methodology for research: a review of how different methods can support real-world research. https://app.cochat.ai/papers/10.1080/13645579.2018.1488449
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Leatherdale, S. T. (2019). Natural experiment methodology for research: a review of how different methods can support real-world research. International Journal of Social Research Methodology. https://doi.org/10.1080/13645579.2018.1488449

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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