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Most Significant Change×Outcome Mapping×
领域Public PolicyPublic Policy
方法族Process / pipelineProcess / pipeline
起源年份20052001
提出者Rick Davies & Jess DartSarah Earl, Fred Carden & Terry Smutylo (IDRC)
类型Participatory, story-based monitoring and evaluation techniqueActor-centred planning, monitoring and evaluation approach
开创性文献Davies, R., & Dart, J. (2005). The 'Most Significant Change' (MSC) Technique: A Guide to Its Use. link ↗Earl, S., Carden, F., & Smutylo, T. (2001). Outcome Mapping: Building Learning and Reflection into Development Programs. Ottawa: International Development Research Centre (IDRC). ISBN: 9780889369597
别名MSC, MSC Technique, Story-Based Monitoring, Davies-Dart Most Significant ChangeOM, IDRC Outcome Mapping, Behavioural Change Mapping
相关44
摘要The Most Significant Change (MSC) technique is a participatory, story-based approach to monitoring and evaluation developed by Rick Davies and refined with Jess Dart. It involves the systematic collection of stories of significant change from the field and the deliberative selection of the most significant of these by panels of stakeholders. There are no predefined indicators; instead, value judgements about what change matters most are made transparently by those involved, making MSC especially suited to capturing unexpected and qualitative outcomes in complex programs.Outcome Mapping is a planning, monitoring and evaluation methodology developed by the International Development Research Centre (IDRC) and set out by Sarah Earl, Fred Carden and Terry Smutylo in 2001. It redefines results as changes in the behaviour, relationships, activities and actions of the people and organisations a program works with directly — its 'boundary partners' — rather than as downstream development impacts. By focusing on the behavioural changes a program can plausibly influence, Outcome Mapping addresses the attribution problem head-on and shifts evaluation toward learning and contribution.
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ScholarGate方法对比: Most Significant Change · Outcome Mapping. 于 2026-06-24 检索自 https://scholargate.app/zh/compare