`How many cases do I need?': On science and the logic of case selection in field-based research
Abstract
Today, ethnographers and qualitative researchers in fields such as urban poverty, immigration, and social inequality face an environment in which their work will be read, cited, and assessed by demographers, quantitative sociologists, and even economists. They also face a demand for case studies of poor, minority, or immigrant groups and neighborhoods that not only generate theory but also somehow speak to empirical conditions in other cases (not observed). Many have responded by incorporating elements of quantitative methods into their designs, such as selecting respondents `at random' for small, in-depth interview projects or identifying `representative' neighborhoods for ethnographic case studies, aiming to increase generalizability. This article assesses these strategies and argues that they fall short of their objectives. Recognizing the importance of the predicament underlying the strategies — to determine how case studies can speak empirically to other cases — it presents two alternatives to current practices, and calls for greater clarity in the logic of design when producing ethnographic research in a multi-method intellectual environment.
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The study reports on a small sample of older adults, which is not intended to be generalizable to all older adults, but to provide a nuanced empirical description of how this group of older adult participants use Alexa.
“Lastly, we report on a small sample of older adults, which is not intended to be generalizable to all older adults [30], rather to provide a nuanced empirical description of how this group of older adult participants use Alexa.”
From Studying Exploration & Long-Term Use of Voice Assistants by Older Adults (2023) · cites this paper as [30]
The study drew on logical inference rather than sample-based logic to identify the main factors influencing knowledge, lives, and imagination around climate urbanism in the neoliberal present.
“Rather than sample-based logic, we drew on logical inference (Small 2009) to identify the main factors influencing knowledge, lives, and imagination around climate urbanism in the neoliberal present.”
From Design for Climate Change in the Neoliberal Present: Gentrification, Ecocide, and the Loss of Urbanity in New York City (2022) · cites this paper as Small 2009
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- Authors
- Small, M. L.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Small, Mario Luis
- ORCID
- Small, Mario Luis
- Venue
- Ethnography
- Publisher
- SAGE Publications
- Published
- 2009-03
- Volume
- 10
- Issue
- 1
- Pages
- 5-38
- ISSN
- 1466-1381 (ISSN-L)
- 1741-2714
- OpenAlex
- W2168033482
- Cited by
- 2,023
- References
- 63
- Citations by year
- 2026: 222 · 2025: 173 · 2024: 172 · 2023: 158 · 2022: 178 · 2021: 208 · 2020: 156 · 2019: 137 · 2018: 110 · 2017: 107 · 2016: 99 · 2015: 90 · 2014: 74 · 2013: 49 · 2012: 49
- FWCI
- 97.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ethnography (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Qualitative Comparative Analysis Research
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- ethnographic case studies, generalizability, qualitative research design, urban poverty, immigration, social inequality, representative sampling, multi-method research
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