- Home
- About us
- ILAC Activities
- Resources
- ILAC Publications
- ILAC Briefs
- ILAC Sourcebook
- Part 2 - Tools and approaches
- Chapter 6: Introduction Part 2
- Chapter 7: Innovation histories
- Chapter 9: Culture study as a tool for change
- Chapter 12: Collaborative agreements
- Chapter 13: Facilitation as a foundation skill for ILAC
- Chapter 14: Learning alliances
- Chapter 15: Institutional histories
- Chapter 16: Engaging Scientists through Institutional Histories
- Chapter 18: Horizontal evaluation
- Chapter 19: Appreciative inquiry
- Part 3 - Cases and experiences
- Part 4 - Challenges and strategies
- About the authors
- Glossary
- References
- Part 2 - Tools and approaches
- Presentations by ILAC Team
- Working Papers
- Journal Articles
- Newsletter
- Reports
- ILAC Library
- Tools and methods for M&E
- Appreciative inquiry
- Biophysical measurements
- Case study
- Content analysis
- Contribution analysis
- Cost-Benefit Analysis
- Creative expression
- Diaries, journals and logs
- Dreams realised or visioning
- Expert review
- GIS mapping
- Graphing results
- Group assessment
- Historical trends and timelines
- Horizontal evaluation
- Impact evaluation
- Benefit-cost methods
- Case studies
- Cost-effectiveness analysis
- Counterfactual Impact Evaluation (CIE)
- Difference-in-difference
- Econometric methods
- Ex-post comparison of project beneficiaries with a control group
- Instrumental variables
- Integrated partial indicators
- Mathematical programming
- Modified peer review
- Partial indicators of impact
- Patent analysis
- Pipeline comparison
- Production function approach
- Propensity score matching
- Quasi-experimental design, involving the use of matched control and project groups
- Randomization
- Rapid assessment or review, conducted ex post
- Regression discontinuity design
- Simulation method
- User surveys
- Impact flow diagram
- Innovation histories
- Institutional history
- Institutional linkage diagram
- Interviews
- Learning alliances
- Learning-oriented evaluation
- M&E Frameworks
- M&E wheel (or "spider web")
- Mapping (sketch)
- Matrix scoring
- Most significant change
- Net-Map
- Non-random sampling
- Observation
- Outcome mapping
- Participatory Impact Pathways Analysis
- Participatory methods
- Performance indicators
- Photographs and video
- Problem and objectives trees
- Random sampling
- Ranking and pocket charts
- Rapid appraisal methods
- Relative scales or ladders
- Rich pictures (or mind maps)
- SWOT
- Seasonal calendars
- Semantic differentials
- Social mapping or well-being ranking
- Sociograms
- Stakeholder analysis
- Survey
- Systems (or inputs-outputs) diagram
- Theory-Based Evaluation
- Transects
- Evaluation studies and reports
- Evaluating capacity development
- Partnership
- Seminars
- Video Room
- Links to other sites
- E-learning courses
- ILAC Publications
- Contact
- Blog
Contribution analysis
Wed, 07/30/2008 - 14:28 — Cristina Sette
The following text is drawn from Mayne (2008).
Contribution analysis
Questions of cause and effect are critical to assessing the performance of programmes and projects. When it is not practical to design an experiment to assess performance, contribution analysis can provide credible assessments of cause and effect. Verifying the theory of change that the programme is based on, and paying attention to other factors that may influence the outcomes, provides reasonable evidence about the contribution being made by the programme.
Source: Mayne, J. (2008). Contribution analysis: An approach to exploring cause and effect. ILAC Brief No. 16. Rome, Italy: Institutional Learning and Change (ILAC) Initiative.
Digg
Facebook
Favorite
LinkedIn
Twitter- Login or register to post comments
- Email this page