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Undercoverage bias occurs when certain groups within a population are inadequately represented in a sample, leading to skewed results in research or surveys. This bias can arise from poor sampling methods or the exclusion of specific Demographics, resulting in findings that do not accurately reflect the entire population. As a consequence, conclusions drawn from the data may be misleading, impacting decisions based on that information. To mitigate undercoverage bias, researchers should ensure that their sampling methods are inclusive and representative of the entire population.

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1mo ago

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Undercoverage occurs when certain groups in a population are inadequately represented in a survey or study, leading to biased results. This can result in inaccurate conclusions, as the findings may not reflect the true characteristics or opinions of the entire population. Consequently, policies or decisions based on such data may be misguided, potentially exacerbating inequalities and failing to address the needs of underrepresented groups. Overall, undercoverage undermines the validity and reliability of research outcomes.


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