📘 Building My MEAL Knowledge | Understanding Impact Evaluation Terminology
Impact evaluation involves more than collecting data and measuring results. It requires a clear understanding of evaluation concepts, research designs, and methods for determining whether an intervention has made a difference.
As part of my ongoing learning journey in Monitoring, Evaluation, Accountability and Learning (MEAL), I am strengthening my understanding of key impact evaluation terminology, including:
🔹 Baseline and Endline: Measuring indicators before and after an intervention to understand changes over time.
🔹 Causal Attribution and Contribution: Examining whether observed changes were caused by an intervention or whether the intervention contributed to those changes.
🔹 Counterfactual and Comparison Groups: Understanding what might have happened without an intervention and using appropriate comparisons to estimate its effects.
🔹 Selection Bias and Contamination: Recognizing factors that can affect the reliability of evaluation findings.
🔹 Experimental and Quasi-Experimental Designs: Understanding different approaches to estimating program impact.
🔹 Theory of Change and Logical Framework: Connecting program activities with expected results and establishing a framework for measuring progress.
💡 My key learning: Credible impact evaluation depends not only on the quality of data but also on the appropriateness of the evaluation design, the reliability of comparisons, and the careful interpretation of findings.
As a MEAL professional, I believe continuous learning in evaluation methods is essential to strengthen evidence-based decision-making, program accountability, and organizational learning.
Better understanding. Stronger evidence. Better program decisions.
I welcome recommendations for courses, resources, and practical learning opportunities that can further strengthen my knowledge and skills in MEAL and impact evaluation.
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