Comparar métodos

	Análisis de Condiciones Necesarias	Rastreo de Procesos
Campo	Psicometría	Psicometría
Familia	Latent structure	Latent structure
Año de origen	2016	2005
Autor original	Jan Dul	Alexander George, Andrew Bennett
Tipo	Set-theoretic configurational analysis	Qualitative causal inference
Fuente seminal	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.
Alias	NCA	—
Relacionados	5	5
Resumen	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.