Порівняння методів

	Аналіз необхідних умов	Трасування процесу
Галузь	Психометрія	Психометрія
Родина	Latent structure	Latent structure
Рік появи	2016	2005
Автор методу	Jan Dul	Alexander George, Andrew Bennett
Тип	Set-theoretic configurational analysis	Qualitative causal inference
Основоположне джерело	Dul, J. (2016). Necessary Condition Analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10-52.	Bennett, A., & Checkel, J. T. (Eds.). (2015). Process Tracing: From Metaphor to Analytic Tool. Cambridge University Press.
Інші назви	NCA	—
Пов'язані	5	5
Підсумок	Necessary 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.	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.