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Rethinking policy-related research

Charting a path using qualitative comparative analysis and complexity theory

Bibliographic Data

ID13041345
AuthorsTim Blackman (0000-0003-2920-1378, The Open University, corresponding author)
Year2012
Volume8
Issue3
Pages333-345
Publication date2012-12-10
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueContemporary Social Science (JOURNAL)
Journal identifiersISSN: 2158-2041 • E-ISSN: 2158-205X
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/21582041.2012.751500
OpenAlexW2097821247
LanguageEN
Citations received14
References cited38

This article argues that conventional quantitative and qualitative research methods have largely failed to provide policy practitioners with the knowledge they need for decision making. These methods often have difficulty handling real-world complexity, especially complex causality. This is when the mechanism of change is a combination of conditions that occur in a system such as an organisation or locality. A better approach is to use qualitative comparative analysis (QCA), a hybrid qualitative/quantitative method that enables logical reasoning about actual cases, their conditions and how outcomes emerge from combinations of these conditions. Taken together, these comprise a system, and the method works well with a whole-system view, avoiding reductionism to individual behaviours by accounting for determinants that operate at levels beyond individuals. Using logical reduction, QCA identifies causal mechanisms in sub-types of cases differentiated by what matters to whether the outcome happens or not. In contrast to common variable-based methods such as multiple regression, which are divorced from actual case realities, QCA is case-based and rooted in these realities. The use of qualitative descriptors of conditions such as ways of working engages practitioners, while their standardisation enables systematic comparison and a degree of generalisation about ‘why’ questions that qualitative techniques typically do not achieve. The type of QCA described in the article requires conditions and outcomes to be dichotomised as present or absent, which is helpful to practitioners facing binary decisions about whether to do (a) or (b), or whether or not an outcome has been achieved

Causality (physics · Data science · Economics · Epistemology · Locality · Machine learning · Management science · Mathematical economics · Outcome (game theory · Qualitative comparative analysis · Qualitative research · Reductionism · Social science · Sociology · Variable (mathematics · Computer Science · Mathematics · Qualitative Comparative Analysis Research

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Unique citing works14
Citations per year1,08
Citation span2013 - 2026 (14)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 14

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