The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Validity and generalization in future case study evaluations
Abstract
Validity and generalization continue to be challenging aspects in designing and conducting case study evaluations, especially when the number of cases being studied is highly limited (even limited to a single case). To address the challenge, this article highlights current knowledge regarding the use of: (1) rival explanations, triangulation, and logic models in strengthening validity, and (2) analytic generalization and the role of theory in seeking to generalize from case studies. To ground the discussion, the article cites specific practices and examples from the existing literature as well as from the six preceding articles assembled in this special issue. Throughout, the article emphasizes that current knowledge may still be regarded as being at its early stage of development, still leaving room for more learning. The article concludes by pointing to three topics worthy of future methodological inquiry, including: (1) examining the connection between the way that initial evaluation questions are posed and the selection of the appropriate evaluation method in an ensuing evaluation, (2) the importance of operationally defining the ‘complexity’ of an intervention, and (3) raising awareness about case study evaluation methods more generally.
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When food‐delivery platform workers consent to algorithmic management: a Foucauldian perspective
Galière, S. (2020) · New Technology, Work and Employment · doi:10.1111/ntwe.12177 · Cited by 198
Organizing external stakeholder engagement in inter-organizational projects: Opening the black box
Lehtinen, J., & Aaltonen, K. (2020) · International Journal of Project Management · doi:10.1016/j.ijproman.2019.12.001 · Cited by 160
Redesigning assessments for AI-enhanced learning: a framework for educators in the generative AI era
Khlaif, Z. N., Alkouk, W. A., Salama, N., & Abu Eideh, B. (2025) · Education Sciences · doi:10.3390/educsci15020174 · Cited by 127
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Metadata
- Authors
- Yin, R. K.
- Venue
- Evaluation
- Publisher
- SAGE Publications
- Published
- 2013-07
- Volume
- 19
- Issue
- 3
- Pages
- 321-332
- ISSN
- 1356-3890 (ISSN-L)
- 1461-7153
- OpenAlex
- W2317804006
- Cited by
- 1,430
- References
- 3
- FWCI
- 48.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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