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We think that, applied well, theory of change can support charities and funders to take a systemic approach to their work. This report identifies five common pitfalls that organisations fall into when using theory of change, and walks through five rules of thumb that will help organisations to use the approach to tackle complex problems. We think that, applied well, theory of change can support charities and funders to take a systemic approach to their work. This report identifies five...
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How can donors and grantees work together to create effective monitoring, evaluation, and learning (MEL) practices that drive field-wide transformation?
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Since it was conceptualized in the late 1980s as a research methodology and change paradigm, the technique of ‘appreciative inquiry’ (AI) has proved to be highly effective for capturing the positive features of an organization or social system and energizing the members to strive for higher levels of performance. This Brief outlines the basic principles and methods of AI, describes various domains in which it has been undertaken and provides a recent example of its use in a centre affiliated...
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Positive deviance is a growing approach in international development that identifies those within a population who are outperforming their peers in some way, eg, children in low-income families who are well nourished when those around them are not. Analysing and then disseminating the behaviours and other factors underpinning positive deviance are demonstrably effective in delivering development results. However, positive deviance faces a number of challenges that are restricting its...
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The world changes too much for anyone who is invested in social change work to imagine that this work is linear and predictable. Opportunities come and go, whether caused by a pandemic or political shifts. This much most social movement leaders and activists intuitively understand. But what can be done with this realization? How might movement groups better prepare for moments of opportunity? We want to explore how we can create the changes we want to see by responding to the changes that are outside our control.
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designed to foster collaboration, share knowledge, and promote scholarship, this TIG is a division of the American Evaluation Association (AEA).
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As with all public policy work, education policies are demanding. Policy workers need to ‘know’ a lot—about the problems they are addressing, the people who need to be engaged, the promises they can make in response, the context they are working in, and the processes they will follow to implement. Most policy workers answer questions about such issues within the structures of plan and control processes used to devise budgets and projects. These structures limit their knowledge gathering,...
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This report explains how public organizations can combine big data and thick data to transform public services delivery—a strategy called mixed analytics. Governments can greatly enhance the value of big data by combining it with “thick” data—rich qualitative information about users, such as their values, goals, and consumption behavior, obtained by observing or interacting with them in their daily lives. Big data holds great promise for improving public services delivery and innovation in...
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Many rural poor and marginalized people strive to make a living in social-ecological systems that are characterized by multiple and often inequitable interactions across agents, scale and space. Uncertainty and inequality in such systems require research and development interventions to be adaptive, support learning and to engage with underlying drivers of poverty. Such complexity-aware approaches to planning, monitoring and evaluating development interventions are gaining strength, yet,...
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Inclusive and rigorous peacebuilding evaluation is both vital and complex. In this blog we share examples of how we are innovating our methodologies to move towards participatory and adaptive practice.
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This article explores the potential of using participatory action research as an adaptive programming modality to drive learning and innovation to tackle the drivers of (and seek to eliminate) the Worst Forms of Child Labour. We draw on our experience from early phases of implementation of a large-scale action research programme, which despite the constraints covid-19 posed in moving to full implementation and participatory engagement with children and other stakeholders on the ground, is...
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Achieving impact through research for development programmes (R4D) requires engagement with diverse stakeholders across the research, development and policy divides. Understanding how such programmes support the emergence of outcomes, therefore, requires a focus on the relational aspects of engagement and collaboration. Increasingly, evaluation of large research collaborations is employing social network analysis (SNA), making use of its relational view of causation. In this paper, we use...
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This briefing note shares practical learning on the use of contribution analysis for adaptive management (CA4AM). It examines how the approach enables programmes to work with theories of change in a practical, reflexive way, and how, combined with assessing evidence of a programme’s contribution to change, its findings can inform programme adaptation. It also examines both how and to what extent CA enables AM through the experiences of four large complex programmes all working towards...
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The term After Action Review (AAR) is becoming more common in the world of development evaluation, particularly in programmes that focus on evaluation as a formative learning process. As structured and facilitated learning moments, AARs take many shapes always built to support a specific team in a specific moment on their journey. Across such a diversity of practice how do we understand the evolution of the AAR as a method with an action research orientation? Being mindful always of the...
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This is the second blog in our series ‘Lessons on using Contribution Analysis for impact evaluation’. In our first blog, we introduced Contribution Analysis (CA) as an overarching approach to theory-based evaluation and the idea of causal hotpots as a way to zoom in, unpack and make the hard choices of where to focus evaluation research. Identifying specific links in the theory of change (ToC) with specific evaluation questions enables you to then choose appropriate methods. We have applied...
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Children end up in child labour as a result of many, often unknown or hidden, interactions between multiple actors and multiple factors within households, communities, and labour systems, leading to unpredictable outcomes for children and other sector stakeholders and sometimes resulting in the worst forms of child labour (WFCL). It is a complex problem, and interventions aimed at tackling it are also, inevitably, complex and challenging. The way they influence change is non-linear,...
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This Research and Evidence Paper presents the theory-based and participatory evaluation design of the Child Labour: Action-Research- Innovation in South and South-Eastern Asia (CLARISSA) programme. The evaluation is embedded in emergent Participatory Action Research with children and other stakeholders to address the drivers of the worst forms of child labour (WFCL). The report describes the use of contribution analysis as an overarching approach, with its emphasis on crafting, nesting and...
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