What is sampling? Explain the different methods of probability sampling.

Sampling in Monitoring and Evaluation of Projects and Programmes

Sampling is a fundamental concept in research methodology, particularly in the monitoring and evaluation (M&E) of projects and programmes. It refers to the process of selecting a subset of individuals, groups, or data points from a larger population to infer conclusions about the entire population. In M&E, sampling is crucial for efficiency, cost-effectiveness, and practicality, as collecting data from the entire population is often unfeasible. A well-structured sampling approach ensures that findings are reliable, representative, and applicable to broader programme or project assessments.

A critical aspect of sampling is distinguishing between probability and non-probability sampling methods. Probability sampling ensures that each unit in the population has a known, non-zero chance of selection, making statistical inference possible. This enhances the objectivity, reliability, and validity of M&E studies. Different methods of probability sampling are used based on project needs, available resources, and study design.

Methods of Probability Sampling

1. Simple Random Sampling (SRS)
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