ScholarGate
Assistent
Process / pipelineProgram evaluation methodology

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.

Obre a MethodMindAviatApliqueu, compareu, obteniu orientació
Eines i recursos
Baixa les diapositives
Aprèn i explora
VídeoAviat

Llegeix el mètode complet

Només per a membres

Inicia la sessió amb un compte gratuït per llegir aquesta secció.

Inicia la sessió

Mapa de mètodes

El veïnat de mètodes relacionats — seleccioneu un node per explorar-lo.

Fonts

  1. Mayne, J. (2012). Contribution analysis: Coming of age? Evaluation, 18(3), 270–280. DOI: 10.1177/1356389012451663
  2. 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

Com citar aquesta pàgina

ScholarGate. (2026, June 22). Contribution Analysis for Causal Inference in Program Evaluation. ScholarGate. https://scholargate.app/ca/public-policy/contribution-analysis

Quin mètode?

Poseu aquest mètode al costat dels seus parents més pròxims i llegiu-los de costat a costat — la biblioteca disposa els llibres sobre la taula; la tria és vostra.

Compara de costat a costat

Citat per

ScholarGateContribution Analysis (Contribution Analysis for Causal Inference in Program Evaluation). Recuperat el 2026-06-24 de https://scholargate.app/ca/public-policy/contribution-analysis · Conjunt de dades: https://doi.org/10.5281/zenodo.20539026