Applied Impact Evaluation
Stratified sampling is a method of sampling that involves dividing a population into distinct subgroups, or strata, that share similar characteristics before randomly selecting samples from each stratum. This technique ensures that different segments of a population are adequately represented in the sample, which can improve the precision and relevance of research findings. It is particularly useful when researchers want to analyze specific characteristics or behaviors within distinct groups in the population.
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