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Blog1st March, 2013
An issue of increasing interest in evaluation, especially development evaluation, is whether and how we might apply ideas and methods from complexity science to evaluation.
Complexity ideas and methods have important applications for how we think about programs and policies, how we collect and analyse data, and how we report findings and support their use.
Since 2014 this has been one of the priority themes that BetterEvaluation has focused on.
EventCourse15th June, 2016 to 22nd June, 2016ItalyPaid
This course focuses on two methods for planning, monitoring and evaluation in dynamic environments where development results can be both planned and unanticipated. Outcome Mapping is a set of tools used for planning, monitoring and evaluating interventions aimed at bringing about social, economic or technological change. The idea is that to succeed, an intervention needs to involve multiple stakeholders. OM connects ‘outputs’ to ‘outcomes’ by focusing on the patterns of action and interaction among stakeholders. Outcome Harvesting is used to identify, formulate, analyse and interpret what was achieved and how, regardless of whether it was pre-defined or not. Conventional M&E can be inappropriate because what is done and what is achieved may vary considerably from the original plan. OH enables people responsible for monitoring and evaluating development work to identify and formulate intended and unintended, positive and negative outcomes, determine how the intervention contributed to them.
How can programs and organizations ensure they are adhering to core principles—and assess whether doing so is yielding desired results? From evaluation pioneer Michael Quinn Patton, this book introduces the principles-focused evaluation (P-FE) approach and demonstrates its relevance and application in a range of settings.
Blog9th January, 2014