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Standards of Good Practice in Qualitative Comparative Analysis (QCA) and Fuzzy-Sets
Editors
Title / Series / Name
Comparative Sociology
Publication Volume
9
Publication Issue
Pages
Editors
Keywords
QCA
Fuzzy sets
Good practice
Data analysis
Research approach
Comparative methods
Fuzzy sets
Good practice
Data analysis
Research approach
Comparative methods
URI
http://hdl.handle.net/20.500.14018/9456
Abstract
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.
Topic
Publisher
Place of Publication
Leiden
Type
Journal article
Date
2010
Language
ISBN
Identifiers
http://dx.doi.org/10.1163/156913210X12493538729793