Three-stage sampling is a complex multistage sampling method that involves selecting samples in three distinct stages. The process typically begins with a random selection of larger clusters, followed by the selection of smaller groups within those clusters, and finally, the selection of individual units from these groups. This method helps researchers efficiently gather data from large populations while controlling costs and improving feasibility.
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