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Measuring the coverage bias in landline telephone surveys by comparison of Swiss registry data with commercially available telephone number databases

机译:通过比较瑞士注册中心数据与市售电话号码数据库来测量座机电话调查的覆盖偏差

摘要

"Coverage of the population within the sampling frame is a very important quality characteristicof a study. However, a metrical evaluation of the coverage bias to approach the question of representativeness is usually not possible. Switzerland stands out in that the federal statistical office (SFSO) has legal access to population registers (person universe) and a full list of landline telephone numbers (phone numberuniverse). However, these data are not available for research institutes, which must rely on commercially available number collections or RDD sampling frames. This paper wants to quantify the coverage bias of such alternative sampling frames by metric calculation of their congruence with the SFSO universes. The analysis shows that 85.0% of private phone numbers and 88.9% of the resident population of Switzerland that can be reached via landline by the SFSO definition (non-ALTELs) are included in our exemplarily analyzed commercially available phone number collection. The highest coverage bias is present in the 20-39 age group. The RDD frame covers 97.8% of private phone numbers and 99.8% of non-ALTEL persons. Hence, both available alternative sampling frames are useful for representative studies. Finally, the potential of use of the Swiss coverage results as benchmarks for other countries is discussed." (author's abstract)
机译:“抽样范围内的人口覆盖范围是一项研究的非常重要的质量特征。但是,通常不可能对覆盖率偏差进行度量评估以解决代表性问题。瑞士的突出之处在于联邦统计局(SFSO)可以合法访问人口登记簿(人宇宙)和固定电话号码的完整列表(电话号码世界),但是,这些数据不适用于必须依靠市售号码收集或RDD采样框架的研究机构。通过度量其与SFSO宇宙的一致性来量化此类替代抽样框架的覆盖偏差,分析表明,通过SFSO定义,可以通过座机到达瑞士的85.0%的私人电话号码和88.9%的瑞士常住人口(非ALTEL)包含在我们示例性分析的市售电话号码集中。在20-39岁年龄段存在覆盖偏见。 RDD框架覆盖了97.8%的私人电话号码和99.8%的非ALTEL人员。因此,两个可用的替代抽样框架对于代表性研究都是有用的。最后,讨论了将瑞士覆盖率结果用作其他国家基准的可能性。”(作者摘要)

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    Klug Stefan; Arn Birgit;

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  • 年度 2016
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