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Qualitative Comparative Analysis (QCA): State of the Art and Prospects
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provides a blueprint for confronting these vacancies in the vector space with theoretical and substantive knowledge and avoiding the homogenizing assumptions (e.g., linearity and additivity, to mention those two most known assumptions) that quantitative researchers usually fall back on.
In conclusion, much remains to be done in this field. There is plenty of innovative work lying ahead, both in terms of methodological/epistemological reflections, further improvement of tools (software in particular), inventive exploitation of these tools, and use of QCA-related techniques in more “academic” as well as more “applied” (in particular policy-oriented) research.
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| | Authors: Rihoux, Benoît. and Ragin, Charles. |
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provides a blueprint for confronting these vacancies in the vector space with theoretical and substantive knowledge and avoiding the homogenizing assumptions (e.g., linearity and additivity, to mention those two most known assumptions) that quantitative researchers usually fall back on.
In conclusion, much remains to be done in this field. There is plenty of innovative work lying ahead, both in terms of methodological/epistemological reflections, further improvement of tools (software in particular), inventive exploitation of these tools, and use of QCA-related techniques in more “academic” as well as more “applied” (in particular policy-oriented) research.
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