Native Python toolkit for crisp-set and fuzzy-set Qualitative Comparative Analysis
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Updated
Sep 1, 2026 - Python
Native Python toolkit for crisp-set and fuzzy-set Qualitative Comparative Analysis
A toolset for evaluating the results and impacts of an educational event, employing cognitive maps as a model for representing cognitive structures or knowledge.
Python-native toolkit for csQCA, mvQCA, fsQCA, gsQCA, mlQCA, and threshold-sweep analysis
Understanding user experience using text mining & analysis: A case study of Amazon.com reviews for smart-home products.
Reproducible fsQCA study of configurational pathways to firm innovation across European macroregions.
Replication materials for "Uncovering Multiple Pathways to Educator Adoption of E-Learning Tools: A Configurational Analysis Using fsQCA"
fsQCA + Bayesian Rule Set analysis pipeline and technical annex for The Formal–Informal Paradox of Indigenous Entrepreneurship in Bangladesh. 67 IP-led interview cases from the Chittagong Hill Tracts, with a 224-record pooled robustness check. R + APA-7 figures and tables.
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