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dc.contributor.author Basurto, Xavier
dc.contributor.author Speer, J
dc.date.accessioned 2013-04-23T17:30:36Z
dc.date.issued 2012-05-01
dc.identifier.issn 1525-822X
dc.identifier.uri http://hdl.handle.net/10161/6739
dc.description.abstract Most 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.ispartof Field Methods
dc.relation.isversionof 10.1177/1525822X11433998
dc.title Structuring the Calibration of Qualitative Data as Sets for Qualitative Comparative Analysis (QCA)
dc.type Journal article
pubs.begin-page 155
pubs.end-page 174
pubs.issue 2
pubs.organisational-group Duke
pubs.organisational-group Marine Science and Conservation
pubs.organisational-group Nicholas School of the Environment
pubs.publication-status Published
pubs.volume 24
dc.identifier.eissn 1552-3969


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