Usporedite metode

	Most Significant Change	Participatory Evaluation
Područje	Public Policy	Public Policy
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	2005	1998
Tvorac	Rick Davies & Jess Dart	J. Bradley Cousins & Elizabeth Whitmore
Vrsta	Participatory, story-based monitoring and evaluation technique	Collaborative, stakeholder-engaged evaluation approach
Temeljni izvor	Davies, R., & Dart, J. (2005). The 'Most Significant Change' (MSC) Technique: A Guide to Its Use.	Cousins, J. B., & Whitmore, E. (1998). Framing participatory evaluation. New Directions for Evaluation, 1998(80), 5–23.
Drugi nazivi	MSC, MSC Technique, Story-Based Monitoring, Davies-Dart Most Significant Change	Collaborative Evaluation, Stakeholder-Based Evaluation, Practical Participatory Evaluation
Srodne	4	4
Sažetak	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.	Participatory evaluation is a family of approaches in which stakeholders — program staff, beneficiaries, community members — are engaged as active partners in conducting the evaluation rather than as passive subjects of it. In their influential 1998 framing, J. Bradley Cousins and Elizabeth Whitmore distinguished two streams: practical participatory evaluation, oriented to improving program decisions and use, and transformative participatory evaluation, oriented to empowerment and social justice. What unites them is shared control of the inquiry, but they vary along dimensions of who participates, how much control they hold, and how deeply they are involved.