Multi-stage sampling is a complex form of sampling that involves selecting samples in multiple stages, often using a combination of different sampling techniques. It starts with larger clusters or groups, and then progressively narrows down to smaller units, allowing researchers to collect data from a manageable number of subjects while still maintaining representativeness. This approach is particularly useful when dealing with large populations spread over wide geographical areas, as it helps reduce costs and time while ensuring diverse representation.
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