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Lessons learned in using most significant change for evaluation
Join Data for Impact on January 8, 2020 at 9 a.m. EST for a one-hour webinar sharing lessons learned in using most significant change for evaluation.

Today, evaluations require methods that are flexible; allow for the complexity of current public health programming in low-resource settings; and address field challenges such as strict budget and time constraints, limited baseline data, and lack of access to comparison groups. Under these circumstances, the most significant change (MSC) method is a useful tool for evaluators.

MSC is a method for surveying diverse program stakeholders and participants with open-ended queries to gather their observations of important changes resulting from a program. MSC is useful when evaluating a program that must adapt to different or evolving contexts. It is appropriate when the evaluation seeks to learn and to show accountability. The MSC method helps evaluators to assess the performance of a program and show whether the program objectives were met.

In this webinar, you will learn how this method was adapted for public health evaluations in multiple contexts in Africa and Asia, including a case study on recent work in Uganda and Ghana for an evaluation of the Local Capacity Initiative, and review lessons learned from its implementation.

Jan 8, 2020 09:00 AM in Eastern Time (US and Canada)

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