Structuring the Calibration of Qualitative Data as Sets for Qualitative Comparative Analysis (QCA)

被引:143
作者
Basurto, Xavier [1 ]
Speer, Johanna [2 ]
机构
[1] Duke Univ, Nicholas Sch Environm, Duke Marine Lab, Beaufort, NC 28516 USA
[2] Humboldt Univ, Div Cooperat Sci, Berlin, Germany
关键词
qualitative comparative analysis (QCA); qualitative data; fuzzy sets; calibration; intermediate n study; best practice; FUZZY-SETS;
D O I
10.1177/1525822X11433998
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
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.
引用
收藏
页码:155 / 174
页数:20
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