Titlebook: Working with Assumptions in International Development Program Evaluation; With a Foreword by M Apollo M. Nkwake Book 2020Latest edition Spr

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Challenges of Examining Assumptionsping and questioning the underlying assumptions of a program’s theory can be threatening to stakeholders for reasons outlined in this chapter. Therefore, the process should be done sensitively and collaboratively, so that it strengthens the program without dampening enthusiasm or weakening stakeholder commitment.

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Case Study: Survey of Assumptions-Aware Evaluation Practice Among Evaluators in an International Devic Relief Services (CRS), an international development and humanitarian organization. The survey asked 35 evaluators working for CRS about various types of assumptions, their understanding of assumption characteristics, and their familiarity with tools for examining assumptions.

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Evaluating Assumptionsulated. Ideally, framing the questions well will lead to methods, tools, and data that produce highly useful answers and solutions. Examining assumptions is without doubt a necessary element in the process.

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Designing Complex Development Programs complex development programs, including the logical framework approach (LFA), theory of change approach (TOCA), and participatory impact pathways approach (PIPA), and the extent to which they enable stakeholders to explicate and question implicit assumptions.

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Why Are Assumptions Important? Bonoma (Evaluation quarterly 2:235–60, 1978, p. 235) put it, “… the power of an experiment is only as strong as the clarity of the basic assumptions which underlie it. Such assumptions not only underlie laboratory experimentation but social evaluation research as well.” Assumptions can be rated on a scale of articulation from tacit to explicit.

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Working with Assumptions: An Overview,uation themes that are most closely related to assumptions. The last two parts focus on more practical discussions about how to explicate and evaluate program assumptions, including findings from a survey on assumptions-aware evaluation practice.

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