The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Mere Description
Abstract
This article attempts to reformulate and resuscitate the seemingly prosaic methodological task of description, which is often derided in favour of causal analysis. First, the problem of definition is addressed: what does this category of analysis (‘description’) refer to? Secondly, a taxonomy of descriptive arguments is offered, emphasizing the diversity contained within this genre of empirical analysis. Thirdly, the demise of description within political science is charted over the past century, with comparisons to other disciplines. Fourthly, it is argued that the task of description ought to be approached independently, not merely as a handmaiden of causal theories. Fifthly, the methodological difficulties of descriptive inference are addressed. Finally, fruitful research areas within the rubric of description are reviewed.
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Cites
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VERBA, S., SCHLOZMAN, K. L., & BRADY, H. E. (1995) · Harvard University Press eBooks · doi:10.2307/j.ctv1pnc1k7 · Cited by 6,626
Reliability and Validity Assessment
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Statistics and Causal Inference
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Case study research: principles and practices
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Bowling Alone: The Collapse and Revival of American Community
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Governing Climate Change: Polycentricity in Action?
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Why Hypothesis Testers Should Spend Less Time Testing Hypotheses
Scheel, A. M., Tiokhin, L., Isager, P. M., & Lakens, D. (2021) · Perspectives on Psychological Science · doi:10.1177/1745691620966795 · Cited by 382
“Research that is “merely” descriptive is often considered less valuable despite being crucial for forming concepts, developing measures, and establishing phenomena that need explaining (Dubin, 1969; Gerring, 2012a; Rai & Fiske, 2010; Rozin, 2001).”
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Metadata
- Authors
- Gerring, J.
- Venue
- British Journal of Political Science
- Publisher
- Cambridge University Press (CUP)
- Published
- 2012-05-04
- Volume
- 42
- Issue
- 4
- Pages
- 721-746
- ISSN
- 0007-1234 (ISSN-L)
- 1469-2112
- OpenAlex
- W4211071057
- Cited by
- 435
- References
- 95
- FWCI
- 44.78
- Type
- journal article
- Language
- en
- Open access
- closed
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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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