
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.