Curious about perfecting program evaluations? Share your strategies for covering all the bases.
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According to the Centers for Disease Control and Prevention (CDC), a structured framework helps ensure that program evaluations cover critical areas like context, implementation, outcomes, and sustainability (CDC, 2020). This framework typically includes identifying the program's goals, defining success criteria, and determining the metrics that will be used to measure outcomes. A widely used model for program evaluation is the Logic Model, which connects program resources, activities, outputs, and impact. This ensures that each aspect of the program is linked back to the desired goals. By adopting this model, you can ensure that no critical phase of the program is overlooked during evaluation.
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Involving stakeholders in program evaluations is key to ensuring no critical aspects are missed. Stakeholders—such as beneficiaries, staff, and partners—bring diverse perspectives that can reveal gaps or unexpected outcomes. Their insights help uncover areas that might not be visible from a managerial viewpoint. Engaging stakeholders fosters transparency and ownership, ensuring the evaluation is thorough and reflective of all experiences. Continuous feedback from them allows the evaluation to be more adaptive and responsive to emerging issues, ensuring that every aspect of the program is properly assessed.
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When overseeing a program evaluation process, following key steps are important to ensure comprehensive program evaluation. 1. Clearly define evaluation goals & objectives 2. Early engagement of stakeholders to ensure evaluation design reflects their needs & expectations. 3. Develop appropriate evaluation tools that are relevant, comprehensive & easy to use. 4. Develop a robust evaluation design that includes a logic model to visualize the program inputs, outputs & outcomes. Create detailed data collection & analysis plan. 5. Provide trainings to data collectors & implement quality control system to ensure data quality. 6. Consider external validity to assess if findings can be applied to other contexts. 7. Disseminate findings effectively
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