Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets

被引：989

作者：

Schneider, Carsten Q. ^{[1
]}

Wagemann, Claudius ^{[2
]}

机构：

[1] Cent European Univ, Ctr Study Imperfect Democracies, Dept Polit Sci, Nador utca 9, H-1051 Budapest, Hungary

[2] Ist Italiano Sci Umane, I-50123 Florence, Italy

来源：

COMPARATIVE SOCIOLOGY | 2010年 / 9卷 / 03期

关键词：

QCA; fuzzy sets; good practice; data analysis; research approach; comparative methods;

D O I：

10.1163/156913210X12493538729793

中图分类号：

C91 [社会学];

学科分类号：

030301 ; 1204 ;

摘要：

As a relatively new methodological tool, QCA is still a work in progress. Standards of good practice are needed in order to enhance the quality of its applications. We present a list from A to Z of twenty-six proposals regarding what a "good" QCA-based research entails, both with regard to QCA as a research approach and as an analytical technique. Our suggestions are subdivided into three categories: criteria referring to the research stages before, during, and after the analytical moment of data analysis. This listing can be read as a guideline for authors, reviewers, and readers of QCA.

引用

页码：397 / 418

页数：22