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Fuzzy-Set Qualitative Comparative Analysis×Трассировка процессов (Process Tracing)×
ОбластьПсихометрияПсихометрия
СемействоLatent structureLatent structure
Год появления20002005
Автор методаCharles RaginAlexander George, Andrew Bennett
ТипSet-theoretic configurational methodQualitative causal inference
Основополагающий источникRagin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗Bennett, A., & Checkel, J. T. (Eds.). (2015). Process Tracing: From Metaphor to Analytic Tool. Cambridge University Press. DOI ↗
Другие названияfsQCA, FSQCA
Связанные45
СводкаFuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables.Process Tracing is a qualitative research method developed by George and Bennett (2005) for studying causal mechanisms and causal chains within individual cases. It involves examining the sequence of events and decision-making processes within a case to infer whether a hypothesized causal mechanism actually operated. Process tracing aims to strengthen causal inference in case studies by looking beyond correlation to understand how causes produce effects.
ScholarGateНабор данных
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  2. 3 Источники
  3. PUBLISHED
  1. v1
  2. 3 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Fuzzy-Set Qualitative Comparative Analysis · Process Tracing. Получено 2026-06-15 из https://scholargate.app/ru/compare