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Cited by 168

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Using case studies to explore the external validity of ‘complex’ development interventions

Woolcock, Michael·2013·Evaluation

Abstract

Rising standards for accurately inferring the impact of development projects has not been matched by equivalently rigorous procedures for guiding decisions about whether and how similar results might be expected elsewhere. These ‘external validity’ concerns are especially pressing for ‘complex’ development interventions, in which the explicit purpose is often to adapt projects to local contextual realities and where high quality implementation is paramount to success. A basic analytical framework is provided for assessing the external validity of complex development interventions. It argues for deploying case studies to better identify the conditions under which diverse outcomes are observed, focusing in particular on the salience of contextual idiosyncrasies, implementation capabilities and trajectories of change. Upholding the canonical methodological principle that questions should guide methods, not vice versa, is required if a truly rigorous basis for generalizing claims about likely impact across time, groups, contexts and scales of operation is to be discerned for different kinds of development interventions.

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Metadata

Authors
Woolcock, M.
Venue
Evaluation
Published
2013-07
Volume
19
Issue
3
Pages
229-248
ISSN
  • 1356-3890 (ISSN-L)
  • 1461-7153
OpenAlex
W2162839664
Cited by
168
References
8
FWCI
15.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Using case studies to explore the external validity of ‘complex’ development interventions. https://app.cochat.ai/papers/10.1177/1356389013495210
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Woolcock, M. (2013). Using case studies to explore the external validity of ‘complex’ development interventions. Evaluation. https://doi.org/10.1177/1356389013495210

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.