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Beyond positivism: fuzzy set qualitative comparative analysis and pragmatist research
Author(s) -
Pablo Garcés Velástegui
Publication year - 2016
Publication title -
revista de la pontificia universidad católica del ecuador (puce. en línea)/revista de la pontificia universidad católica del ecuador
Language(s) - English
Resource type - Journals
eISSN - 2528-8156
pISSN - 1390-7719
DOI - 10.26807/revpuce.v0i103.50
Subject(s) - qualitative comparative analysis , pragmatism , equifinality , outcome (game theory) , positivism , epistemology , causation , set (abstract data type) , causality (physics) , sociology , social science , computer science , philosophy , mathematics , artificial intelligence , mathematical economics , physics , quantum mechanics , machine learning , programming language
The literature questioning posi­tivist research in the social sciences is increasing. One promising alternative, which has been gaining momentum, is pragmatism. This discussion, however, has been carried out mainly at the le­vel of the philosophy of (social) science. Consequently, this paper seeks to con­tribute to the discussion on methods and puts forward Fuzzy Set Qualitative Comparative Analysis (fsQCA) as a re­search method useful for pragmatist inquiry. Beyond the quantitative-quali­tative divide, fsQCA is a set theoretical method that: i) can capture concept differences both in terms of kind (quali­tative) and degree (quantitative); and, ii) focuses on multiple conjunctural causa­tion. That is, it considers cases leading to an outcome as consisting of conditions (conjunctural causation). Moreover, different combinations of these con­ditions can lead to the same outcome (equifinality). Finally, the presence or absence of an outcome is explained by different reasons, not just the presence or absence of a condition (asymmetri­cal causality). As such, it moves beyond positivism and can be a fruitful tool for pragmatist research.

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