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Innovations in (MV)QCA and Fuzzy Set applications

206
Benoît Rihoux
Université catholique de Louvain

Abstract

Many methodological challenges still remain open for researchers using Qualitative Comparative Analysis (QCA), Multi-Value QCA (MVQCA) and Fuzzy Sets (FS). This panel welcomes contributions which develop some innovations in the use of these methods. Some key issues may be (selective list) : case selection; variable selection; treatment of contradictions; operationalization of variables (including dichotomization, for QCA); inclusion of the time dimension; combination with "process"-oriented methods; applications using micro-level data (e.g. interview data for individuals, etc.); etc.

Title Details
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On applying Ragin's crisp and fuzzy set QCA to large datasets: social class and educational achievement in the National Child Development Study View Paper Details
QCA, fs-QCA and MVQCA: Three Different Ways of Dealing with the Problem of Dichotomisation View Paper Details
Temporality and Causal Configurations: Combining Sequence Analysis and Fuzzy Set/Qualitative Comparative Analysis View Paper Details
A Fuzzy-Set Based Analysis of Changing Levels of Social Expenditure in OECD Countries 1980-1998 View Paper Details