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How can you create a responsive program evaluation?

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Program evaluation is a systematic process of collecting and analyzing data to assess the effectiveness, efficiency, and relevance of a program. It can help you improve your program design, delivery, and outcomes, as well as demonstrate your impact and accountability to your stakeholders. However, program evaluation is not a one-size-fits-all approach. You need to create a responsive program evaluation that is tailored to your program context, goals, and needs. Here are some steps to help you do that.

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Dr Imran Arain (PhD. MPH, MBA, MA, BSc)

Public Mental Health trainer, researcher and healthcare evaluation research specialist. Expertise in Realist Evaluation.

1 Define your evaluation purpose and questions

Before you start collecting data, you need to clarify why you are conducting the evaluation and what you want to learn from it. Your evaluation purpose should align with your program logic model, theory of change, or other framework that explains how your program works and what it aims to achieve. Your evaluation questions should be specific, measurable, achievable, relevant, and time-bound (SMART), and reflect the interests and expectations of your stakeholders. For example, you might want to evaluate how well your program is reaching and engaging your target population, how your program activities are affecting your outcomes, or how your program is adapting to changing needs and contexts.

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Bari Dzomba, BA, MS, PhD

Associate Professor of Instruction at Temple University, College of Public Health, Graduate Program Director, MS, PhD in Health Informatics
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The logic model shows the planned input activities, outputs, outcomes, and impacts giving you the criteria needed for evaluation. The evaluation should focus on components such as utility of who needs the evaluation results and why, how much time, resources, and funding can be used for the evaluation, who or which stakeholders need to be involved from an ethics perspective, and what type of design will ensure accuracy of the results.

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2 Choose your evaluation design and methods

Next, you need to decide how you will collect and analyze the data that will answer your evaluation questions. Your evaluation design should match your evaluation purpose and questions, as well as your program stage, resources, and ethical considerations. You can choose from different types of evaluation designs, such as experimental, quasi-experimental, non-experimental, or mixed methods, depending on the level of rigor and evidence you need. You can also choose from different types of evaluation methods, such as surveys, interviews, focus groups, observations, or document reviews, depending on the type and quality of data you need.

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Aung Cho

FinTech | Mobile Wallet | Agent Banking | Digital Banking | Product & Innovation
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The choice of evaluation design and methods in a responsive program evaluation depends on various factors, including the nature of the program, available resources, and the specific questions that aim to answer. Remember, the key is to tailor the evaluation design and methods to the unique characteristics and goals of the program, ensuring that the approach is responsive to the needs of stakeholders and the evolving context. Some suggested options: Realist Evaluation, Mixed-Methods Approach, Participatory Action Research (PAR), Utilization-Focused Evaluation and Utilization-Focused Evaluation.

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3 Plan and implement your data collection and analysis

Once you have chosen your evaluation design and methods, you need to plan and implement your data collection and analysis. You need to ensure that your data collection instruments are valid, reliable, and culturally appropriate, and that you have obtained informed consent from your participants. You also need to ensure that your data analysis techniques are consistent, transparent, and rigorous, and that you have addressed any limitations or biases in your data. You should document your data collection and analysis procedures and results, and check them for accuracy and completeness.

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4 Interpret and report your evaluation findings

The final step is to interpret and report your evaluation findings. You need to synthesize and summarize your data analysis results, and draw conclusions and recommendations based on your evaluation questions and purpose. You should also consider the implications and limitations of your findings, and how they can inform your program improvement, decision making, and learning. You should report your evaluation findings in a clear, concise, and engaging way, using different formats and channels that suit your audience and purpose. For example, you might use a report, a presentation, a dashboard, a newsletter, or a story to communicate your evaluation findings.

Creating a responsive program evaluation can help you enhance your program quality, effectiveness, and impact, as well as strengthen your relationship with your stakeholders. By following these steps, you can design and conduct a program evaluation that is relevant, useful, and credible for your program and your context.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Dr Imran Arain (PhD. MPH, MBA, MA, BSc)

Public Mental Health trainer, researcher and healthcare evaluation research specialist. Expertise in Realist Evaluation.
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I belive we should focus our energies around Realist Evaluations rather traditional way of evaluating the programmes that usually use the positivist epistemology which lacks in robustness and leaves black holes.

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How can you create a responsive program evaluation?

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5

1 Define your evaluation purpose and questions

2 Choose your evaluation design and methods

3 Plan and implement your data collection and analysis

4 Interpret and report your evaluation findings

5 Here’s what else to consider

Non-profit Leadership

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How can you create a responsive program evaluation?

1

2

3

4

5

1 Define your evaluation purpose and questions

2 Choose your evaluation design and methods

3 Plan and implement your data collection and analysis

4 Interpret and report your evaluation findings

5 Here’s what else to consider

Non-profit Leadership

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