Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets
Dados Bibliográficos
| AUTOR(ES) | |
|---|---|
| AFILIAÇÃO(ÕES) | 1Department of Political Science and Center for the Study of Imperfections in Democracies, Central European University Nador utca 9, 1051 Budapest, Hungary, Email: [email protected], 2Istituto italiano di scienze umane Palazzo Strozzi, Piazza degli Strozzi, 50123 Florence, Italy, Email: [email protected] |
| ANO | 2010 |
| TIPO | Artigo |
| PERIÓDICO | Comparative Sociology |
| ISSN | 1569-1322 |
| E-ISSN | 1569-1330 |
| EDITORA | Brill Academic Publishers |
| DOI | 10.1163/156913210x12493538729793 |
| CITAÇÕES | 24 |
| ADICIONADO EM | 2025-08-18 |
| MD5 |
e2a9073c2aff519a24c9caa6365fe4bb
|
Resumo
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.