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dc.contributor.authorBasurto, X
dc.contributor.authorSpeer, J
dc.date.accessioned2013-04-23T17:30:36Z
dc.date.issued2012-05-01
dc.identifier.issn1525-822X
dc.identifier.urihttp://hdl.handle.net/10161/6739
dc.description.abstractMost studies that apply qualitative comparative analysis (QCA) rely on macro-level data, but an increasing number of studies focus on units of analysis at the micro or meso level (i.e., households, firms, protected areas, communities, or local governments). For such studies, qualitative interview data are often the primary source of information. Yet, so far no procedure is available describing how to calibrate qualitative data as fuzzy sets. The authors propose a technique to do so and illustrate it using examples from a study of Guatemalan local governments. By spelling out the details of this important analytic step, the authors aim at contributing to the growing literature on best practice in QCA. © The Author(s) 2012.
dc.relation.ispartofField Methods
dc.relation.isversionof10.1177/1525822X11433998
dc.titleStructuring the Calibration of Qualitative Data as Sets for Qualitative Comparative Analysis (QCA)
dc.typeJournal article
pubs.begin-page155
pubs.end-page174
pubs.issue2
pubs.organisational-groupDuke
pubs.organisational-groupMarine Science and Conservation
pubs.organisational-groupNicholas School of the Environment
pubs.publication-statusPublished
pubs.volume24
dc.identifier.eissn1552-3969


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