Undercoverage refers to a sampling bias that occurs when certain groups or individuals in a population are inadequately represented in the sample selection. This lack of representation can lead to skewed results and unreliable conclusions, as the voices of the underrepresented populations are not accounted for, which is crucial in the context of sampling methods and survey design.
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