Contribution Analysis
Contribution analysis is a theory-based evaluation approach that addresses the attribution problem — establishing whether and how an intervention made a difference — without relying on an experimental counterfactual. Developed by John Mayne from 2001 onward, it works by articulating the program's theory of change, gathering evidence along that chain, and then assembling a 'contribution story' that is progressively stress-tested against rival explanations. The aim is not statistical attribution but a credible, evidence-based conclusion that the program plausibly contributed to observed results, in the face of other influencing factors.
Leer el método completo
Inicia sesión con una cuenta gratuita para leer esta sección.
Mapa de métodos
El vecindario de métodos relacionados: selecciona un nodo para explorarlo.
Fuentes
- Mayne, J. (2012). Contribution analysis: Coming of age? Evaluation, 18(3), 270–280. DOI: 10.1177/1356389012451663 ↗
- Mayne, J. (2001). Addressing attribution through contribution analysis: Using performance measures sensibly. Canadian Journal of Program Evaluation, 16(1), 1–24. DOI: 10.3138/cjpe.016.001 ↗
Cómo citar esta página
ScholarGate. (2026, June 22). Contribution Analysis for Causal Inference in Program Evaluation. ScholarGate. https://scholargate.app/es/public-policy/contribution-analysis
¿Qué método?
Coloca este método junto a sus parientes más cercanos y léelos lado a lado: la biblioteca pone los libros sobre la mesa; la elección es tuya.
- Process EvaluationPublic Policy↔ comparar
- Realist EvaluationPublic Policy↔ comparar
- Theory of Change EvaluationPublic Policy↔ comparar
Citado por
Métodos similares
¿Has visto un problema en esta página? Infórmanos o sugiere una corrección →