Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Developmental Evaluation× | Outcome Harvesting× | |
|---|---|---|
| Область | Public Policy | Public Policy |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2011 | 2012 |
| Автор метода≠ | Michael Quinn Patton | Ricardo Wilson-Grau & Heather Britt |
| Тип≠ | Complexity-informed evaluation approach for innovation | Retrospective, outcome-led evaluation approach |
| Основополагающий источник≠ | Patton, M. Q. (2011). Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use. New York: Guilford Press. ISBN: 9781606238721 | Wilson-Grau, R., & Britt, H. (2012). Outcome Harvesting. Cairo: Ford Foundation MENA Office (revised November 2013). link ↗ |
| Другие названия≠ | DE, Patton Developmental Evaluation, Complexity-Informed Evaluation | OH, Wilson-Grau Outcome Harvesting |
| Связанные | 4 | 4 |
| Сводка≠ | Developmental evaluation is an approach designed to support innovation and adaptation in complex, dynamic environments where the intervention itself is still emerging. Articulated by Michael Quinn Patton in his 2011 book, it abandons the assumption of a fixed, pre-specified model to be tested, and instead embeds an evaluator within the design team to provide real-time feedback that informs ongoing development. Its purpose is development — helping social innovators learn, adapt and respond as conditions change — rather than the improvement of a settled program (formative) or the judgement of a completed one (summative). | Outcome Harvesting is a participatory evaluation approach, developed by Ricardo Wilson-Grau and Heather Britt, that identifies outcomes after they have occurred and then works backward to determine whether and how an intervention contributed to them. Instead of measuring progress against predefined targets, evaluators 'harvest' evidence of observable changes in the behaviour, relationships, actions or policies of social actors, then assess the program's contribution to each. It is designed for complex settings where cause-and-effect relationships are not fully understood in advance and outcomes cannot be specified ahead of time. |
| ScholarGateНабор данных ↗ |
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