New Material

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A guide containing examples of supportive evaluation activities for organisations and leaders managing COVID-19 response efforts.
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"How can qualitative researchers collect data during social-distancing measures? Adam Jowett outlines several techniques researchers can use to collect data without face-to-face contact with participants. Bringing together a number of previous studies, he also suggests such techniques have their own methodological advantages and disadvantages and that while these techniques may appear particularly apt during the coronavirus crisis, researchers should take time to reflect on ethical issues before re-designing their studies."
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To our valued users, members and friends, We invite you to take a moment to read this message from the BetterEvaluation team: Our world is changing rapidly.

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Organisations around the world are quickly having to adapt their programme and project activities to respond to the COVID-19 pandemic and its consequences, and evaluation needs to match this. We’re starting a new blog series on BetterEvaluation to help support these efforts. We’ll also be creating a complementary thematic area on the BetterEvaluation website to gather this information and associated resources in a more permanent and accessible manner.

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The COVID-19 pandemic is rapidly transforming our world.  Individuals, communities and organisations are facing enormous challenges and uncertainty. Limited resources have been further stretched by the climate crisis and unprecedented natural disasters. These global challenges put the Sustainable Development Goals at risk and threaten the well-being of people and the planet.

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Defra (the UK Department for Environment, Food and Rural Affairs) commissioned CECAN (the Centre for Evaluation Complexity Across the Nexus) to deliver a Complexity Evaluation Framework (CEF). The primary purpose of this framework is to equip Defra commissioners of evaluation (which may include analysts and policy makers), with a checklist of core considerations to ensure that evaluations are robust and sufficiently consider the implications of complexity theory. The framework is intended to increase the use and usability of evaluation for both commissioned and internally-led evaluation across the department. The final output is intended to be an actionable complexity evaluation framework, accompanied by a supporting evidence report to be used as a resource in commissioning evaluation.

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