A disadvantage of cluster sampling is that a portion of the population may be missed in the sample, giving the researcher a sample that is not fully representative of the population.

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Cluster sampling involves dividing the population into clusters or groups and then randomly selecting a few clusters to sample from. This can lead to some portions of the population being excluded from the sample, which can result in a sample that is not fully representative of the population.

A Disadvantage of Cluster Sampling Is That a Portion of the Population