Large-N comparative studies have helped common pool resource scholars gain general insights into the factors that influence collective action and governance outcomes. However, these studies are often limited by missing data, and suffer from the methodological limitation that important information is lost when we reduce textual information to quantitative data.
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- Barnett, Allain (Author)
- Baggio, Jacopo (Author)
- Shin, Hoon Cheol (Author)
- Yu, David (Author)
- Perez Ibarra, Irene (Author)
- Rubinos, Cathy (Author)
- Brady, Ute (Author)
- Ratajczyk, Elicia (Author)
- Rollins, Nathan (Author)
- Aggarwal, Rimjhim (Author)
- Anderies, John (Author)
- Janssen, Marco (Author)
- ASU-SFI Center for Biosocial Complex Systems (Contributor)
- Digital object identifier: 10.18352/ijc.632
- Identifier TypeInternational standard serial numberIdentifier Value1875-0281
- The final version of this article, as published in International Journal of the Commons, can be viewed online at: https://www.thecommonsjournal.org/article/10.18352/ijc.632/, opens in a new window
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Barnett, A. J., Baggio, J. A., Shin, H. C., Yu, D. J., Perez-Ibarra, I., Rubinos, C., . . . Janssen, M. A. (2016). An iterative approach to case study analysis: insights from qualitative analysis of quantitative inconsistencies. International Journal of the Commons, 10(2), 467. doi:10.18352/ijc.632