ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Anàlisi de Condicions Necessàries×Anàlisi Qualitativa Comparativa d'Estats Difusos×
CampPsicometriaPsicometria
FamíliaLatent structureLatent structure
Any d'origen20162000
Autor originalJan DulCharles Ragin
TipusSet-theoretic configurational analysisSet-theoretic configurational method
Font seminalDul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52. DOI ↗Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗
ÀliesNCAfsQCA, FSQCA
Relacionats54
ResumNecessary Condition Analysis (NCA) is a set-theoretic method developed by Dul (2016) that identifies conditions necessary (but not necessarily sufficient) for an outcome to occur. Unlike regression, which estimates average effects, NCA identifies absolute thresholds: conditions that must be present at a certain level for the outcome to be possible, regardless of other factors.Fuzzy-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.
ScholarGateConjunt de dades
  1. v1
  2. 3 Fonts
  3. PUBLISHED
  1. v1
  2. 3 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: Necessary Condition Analysis · Fuzzy-Set Qualitative Comparative Analysis. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare