Multistage sampling is a complex form of sampling that involves selecting samples in multiple stages, often combining different sampling methods at each stage. This technique is particularly useful when a population is large and spread over a wide area, allowing researchers to break the population into manageable clusters, then sample from those clusters before possibly using stratified or random sampling methods within them. This approach can improve efficiency and reduce costs while still aiming to maintain representativeness.
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