使用非匹配计数技术估计流行率时存在较大的抽样误差：模拟研究

Survey practice Pub Date : 2024-02-01 DOI:10.29115/sp-2024-0002

Zachary Neal

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引用次数: 0

摘要

非配对计数法（UCT）是一种确保受访者匿名的方法，从而对人口中某一特征的流行率做出无偏估计。我说明了在现实条件下，UCT 估计值的抽样误差可能是直接提问估计值的十倍，而且 UCT 估计值可能是无意义的负值。因此，应谨慎使用 UCT。

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Large sampling errors when using the Unmatched Count Technique to estimate prevalence: A simulation study

The Unmatched Count Technique (UCT) is a method for ensuring respondent anonymity and thereby providing an unbiased estimate of the prevalence of a characteristic in a population. I illustrate that under realistic conditions UCT estimates can have ten times more sampling error than estimates derived from direct questions, and that UCT estimates can take nonsensical negative values. Therefore, the UCT should be used with caution.

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Survey practice

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