💬 Sampling Strategies in M&E
How do you select representative samples while managing limited resources?
Selecting a representative sample is essential for producing
credible and reliable evaluation results.
However, in real-world monitoring and evaluation contexts, practitioners often face
constraints in time, budget, and access.
This discussion explores how evaluators can balance
methodological rigor with
practical limitations when designing sampling strategies.
🔍 Key Areas to Explore
- How do you ensure your sample is representative of the target population?
- What sampling methods work best under limited resources?
- How do you balance sample size with available budget?
- When is it acceptable to use non-probability sampling?
- What practical challenges have you faced in the field?
🎯 Objective of the Discussion
To share practical strategies for selecting
efficient and representative samples
while working within resource constraints,
ensuring that evaluation findings remain credible and useful.
👉 Join the discussion: Share your experience, tools, and lessons learned from the field.