Three-valued modal logic for theory construction with contradictory data
Georg P. Mueller ()
Additional contact information
Georg P. Mueller: University of Fribourg
Quality & Quantity: International Journal of Methodology, 2019, vol. 53, issue 2, No 13, 775-789
Abstract:
Abstract This article refers to theory construction on the basis of binary data, where a configuration of several yes/no-variables is used in order to explain a binary outcome. The methodology proposed for this purpose has been developed by the political scientist Charles Ragin and is known under the name qualitative comparative analysis. It is frequently confronted with situations, where the same configuration of explanatory variables has contradictory yes/no-values for the outcome-variable of different related cases. Since the standard-solutions to this problem are not always satisfactory, the author proposes the use of three-valued modal logic, which was originally developed by the Polish philosopher Jan Lukasiewicz. In this logic there is a third truth-value indeterminate, which serves to code contradictory or missing data. Moreover, by the proposed use of modal operators it becomes possible to differentiate between strict and possible triggers and inhibitors of a given outcome. Since indeterminate outcomes do not really contribute to knowledge accumulation and theory building, the article discusses strategies for promoting scientific progress by minimizing this indeterminacy.
Keywords: Theory construction; Three-valued modal logic; Qualitative comparative analysis (QCA); Scientific progress; International comparisons (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11135-018-0788-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0788-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-018-0788-4
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().