ScholarGate
সহকারী

পদ্ধতির তুলনা করুন

নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।

Most Significant Change×Outcome Mapping×
ক্ষেত্রPublic PolicyPublic Policy
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর20052001
প্রবর্তকRick Davies & Jess DartSarah Earl, Fred Carden & Terry Smutylo (IDRC)
ধরনParticipatory, story-based monitoring and evaluation techniqueActor-centred planning, monitoring and evaluation approach
মৌলিক উৎসDavies, 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
অপর নামMSC, MSC Technique, Story-Based Monitoring, Davies-Dart Most Significant ChangeOM, IDRC Outcome Mapping, Behavioural Change Mapping
সম্পর্কিত44
সারসংক্ষেপThe 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.
ScholarGateডেটাসেট
  1. v1
  2. 1 উৎস
  3. PUBLISHED
  1. v1
  2. 1 উৎস
  3. PUBLISHED

অনুসন্ধানে যান স্লাইড ডাউনলোড করুন

ScholarGateপদ্ধতির তুলনা করুন: Most Significant Change · Outcome Mapping. 2026-06-24 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare