In a cluster sample, researchers divide subjects into strata (like cities, for example), randomly select a few strata (draw the names of a few cities from a hat) and sample every subject in those strata (question everyone in that city.)
A significant disadvantage is that you may select strata that completely overlook a feature relevant to your study.
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