Cluster sampling involves selecting a sample by determining the sample size needed from the population and selecting every "nth" person from the population for inclusion in the study.

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Cluster sampling involves dividing the population into separate groups, known as clusters, and then a simple random sample of these clusters is selected. If further data is needed, each member of the selected clusters can be surveyed, which differs from the description of selecting every "nth" person, which is actually systematic sampling.

Cluster Sampling Involves Selecting a Sample by Determining the Sample