Standards of good practice in qualitative comparative analysis (QCA) and fuzzy-sets

Carsten Q. Schneider, Claudius Wagemann

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

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.

Original languageEnglish
Pages (from-to)397-418
Number of pages22
JournalComparative Sociology
Volume9
Issue number3
DOIs
StatePublished - 1 Mar 2010

Keywords

  • Comparative methods
  • Data analysis
  • Fuzzy sets
  • Good practice
  • QCA
  • Research approach

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