Schneider, Carsten Q.Wagemann, Claudius2022-03-2920101569-1330http://dx.doi.org/10.1163/156913210X12493538729793https://hdl.handle.net/20.500.14018/9456As 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.engQCAFuzzy setsGood practiceData analysisResearch approachComparative methodsJournal article