The components of landline telephone survey coverage bias. The relative importance of no-phone and mobile-only populations

The components of landline telephone survey coverage bias. The relative importance of no-phone and mobile-only populations
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固定电话调查覆盖率偏差的组成部分 无电话人口和仅使用移动电话人口的相对重要性

DOI:
10.1007/s11135-011-9431-3
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发表时间:
2012
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中科院分区:
社会科学3区
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不断增长的仅使用移动设备的人口引起了人们对传统固定电话调查代表性的担忧。此时,仅使用移动电话的人群与一般人群存在显着差异,这导致仅使用固定电话样本进行电话调查时出现覆盖偏差。然而,在许多欧洲国家,仅使用移动设备的人口并不是电话调查中覆盖范围偏差的唯一来源。此外,我们还必须考虑由于相当大比例的公民没有任何电话服务而造成的覆盖偏差。由于这两个群体在不同的社会人口统计类别方面与一般人群不同,因此我们认为,传统固定电话调查中仅移动设备覆盖误差的负面影响实际上可能部分补偿由无电话人口造成的覆盖偏差。为了检验补偿覆盖偏差的假设,我们计算了 30 个欧洲国家在两个时间点的两个社会人口变量的仅使用移动设备的人口造成的相对覆盖偏差和无电话人口造成的相对覆盖偏差。报告中列出了四组国家的结果,这些国家的无电话费率和仅使用手机费率有所不同。结果表明,一般而言,仅移动设备偏差和无电话偏差并不能在很大程度上得到补偿,因此在使用电话调查估计人口参数时,不能忽视令人震惊的仅移动设备偏差。然而,在一些国家,仅使用移动设备的人口造成的偏差远远大于仅使用移动设备的人口和无电话人口造成的联合偏差。这一发现表明,如果不存在不使用手机的人群,那么近期仅使用手机的人群所造成的偏差将会更加严重。
The continuously growing mobile-only population raises concerns regarding the representativeness of traditional landline telephone surveys. At this time, the mobile-only population differs significantly from general population, which leads to coverage bias when using fixed-line samples only for telephone surveys. However, in many European countries the mobile-only population is not the only source of coverage bias in telephone surveys. In addition, we have to consider coverage biases caused by considerable proportions of citizens without any telephone service. Since these two groups differ from the general population with respect to differential socio-demographic categories, in our view, the negative effects of mobile-only coverage error in traditional landline telephone surveys might in fact compensate—in part—for coverage bias caused by the no-phone population. To test this hypothesis of compensating coverage biases we calculated relative coverage biases caused by the mobile-only population and relative coverage biases caused by the no-phone population in 30 European countries for two socio-demographic variables in two points in time. Results are presented for four groups of countries that differ with respect to no-phone and mobile-only rates. Results suggest that—in general—mobile-only biases and no-phone biases do not compensate to a great extent, and thus the alarming mobile-only biases cannot be neglected when using telephone surveys in the estimation of population parameters. Nevertheless, there are several countries where the bias caused by the mobile-only population is far bigger than the joint bias caused by the mobile-only population and the no-phone population. This finding suggests that biases caused by the recent mobile-only population would be even more severe if the no-phone population did not exist.
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