Single-stage cluster sampling is a method used in research where the entire population is divided into clusters, and a single cluster is selected at random to represent the whole. This technique simplifies the sampling process by allowing researchers to focus on just one segment of the population rather than conducting a more complex and time-consuming survey across multiple clusters. It’s particularly useful in large populations where listing all individuals would be impractical.
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