The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Addressing Attribution through Contribution Analysis: Using Performance Measures Sensibly
Open accessAbstract
Abstract: The changing culture of public administration involves accountability for results and outcomes. This article suggests that performance measurement can address such attribution questions. Contribution analysis has a major role to play in helping managers, researchers, and policymakers to arrive at conclusions about the contribution their program has made to particular outcomes. The article describes the steps necessary to produce a credible contribution story.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Contribution analysis triangulates data from multiple sources to assess how an intervention contributes to specific outcomes.
“Contribution analysis triangulates data from multiple sources to assess how an intervention contributes to specific outcomes (Mayne, 2001).”
From Promoting positive youth development with adolescent boys in UK schools: A theory-driven evaluation of the "Becoming a Man" programme (2026) · cites this paper as Mayne, 2001
Citations
Cites
Handbook of Practical Program Evaluation
Wholey, J. S., Hatry, H. P., & Newcomer, K. E. (2010) · Cited by 960
Theory‐based evaluation: Past, present, and future
Weiss, C. H. (1997) · New Directions for Evaluation · doi:10.1002/ev.1086 · Cited by 634
Evaluation and Effective Public Management
Goldoff, A. C., & Wholey, J. S. (1983) · Public Productivity Review · doi:10.2307/3379834 · Cited by 260
Noonan, C. J. (2010) · Routledge eBooks · doi:10.4324/9780080938646-22 · Cited by 116
Open systems evaluation and the logic model: Program planning and evaluation tools
Julian, D. A., Jones, A., & Deyo, D. (1995) · Evaluation and Program Planning · doi:10.1016/0149-7189(95)00034-8 · Cited by 102
Unlocking the potential of performance measurement: A practical implementation guide
Meekings, A. (1995) · Public Money & Management · doi:10.1080/09540969509387888 · Cited by 84
Action-oriented evaluation in organizations : Canadian practices
Hudson, J., Mayne, J. W., & Thomlison, R. J. (1992) · Medical Entomology and Zoology · Cited by 16
Self-citationA Panel on Theory-driven Evaluation and Evaluation Theories
Chen, H.-T. (1994) · Evaluation Practice · doi:10.1177/109821409401500107 · Cited by 8
Flagged first, then by citations
Cited by
Sorted by citations
Contribution analysis: Coming of age?
Mayne, J. (2012) · Evaluation · doi:10.1177/1356389012451663 · Cited by 387
Self-citationDesigning eHealth that Matters via a Multidisciplinary Requirements Development Approach
Van Velsen, L., Wentzel, J., & Van Gemert-Pijnen, J. E. (2013) · JMIR Research Protocols · doi:10.2196/resprot.2547 · Cited by 262
Befani, B., & Mayne, J. (2014) · IDS Bulletin · doi:10.1111/1759-5436.12110 · Cited by 142
“Contribution analysis (Mayne 2012b, 2008, 2001) and process tracing (Beach and Pedersen 2011; Collier 2011; Bennett 2010, 2008) both seek to make causal inferences about cause and effect using non-counterfactual approaches based on similar analysis tools: causal mechanisms and theories of change.”
Self-citationLemire, S. T., Nielsen, S. B., & Dybdal, L. (2012) · Evaluation · doi:10.1177/1356389012450654 · Cited by 66
Miller, E., Stanhope, V., Restrepo-Toro, M., & Tondora, J. (2017) · American Journal of Psychiatric Rehabilitation · doi:10.1080/15487768.2017.1338045 · Cited by 32
Green, F., Preece, C., Allen, K., Manzi, S., Mannes, J., Callaghan, L., Berry, V., de Lima, E. S., Woodburn, A., Hobbs, T., et al. (2026) · Journal of Prevention · doi:10.1007/s10935-025-00888-1 · Cited by 2
“Contribution analysis triangulates data from multiple sources to assess how an intervention contributes to specific outcomes (Mayne, 2001 ).”
Metadata
- Authors
- Mayne, J.
- Affiliations
- Government of Canada (CA)
- Corresponding author
- Mayne, John
- Venue
- Canadian Journal of Program Evaluation
- Publisher
- University of Victoria Libraries
- Published
- 2001-03
- Volume
- 16
- Issue
- 1
- Pages
- 1-24
- ISSN
- 0834-1516 (ISSN-L)
- 1496-7308
- OpenAlex
- W2113515522
- Cited by
- 350
- References
- 8
- Citations by year
- 2026: 17 · 2025: 12 · 2024: 11 · 2023: 22 · 2022: 16 · 2021: 15 · 2020: 17 · 2019: 23 · 2018: 20 · 2017: 19 · 2016: 14 · 2015: 20 · 2014: 27 · 2013: 16 · 2012: 18
- FWCI
- 8.53
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Canadian Journal of Program Evaluation (publishedVersion)
- Topics
- Social Sciences › Public Administration › Evaluation and Performance Assessment
- Social Sciences › Public Administration › Public Policy and Administration Research
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- contribution analysis, performance measurement, attribution, program outcomes, accountability, public administration, program evaluation, causal inference
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review