Question Order and Interviewer Effects in CATI Scale-up Surveys
Question Order and Interviewer Effects in CATI Scale-up Surveys
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DOI：
10.1177/0049124109346163
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发表时间：
2009-11-01
影响因子：
6.3
通讯作者：
Gregori, Dario
中科院分区：
文献类型：
--
作者：
Snidero, Silvia;Zobec, Federica;Gregori, Dario
规模扩大估计量是一种基于网络的估计量，用于估计隐藏或难以计数的子群体的大小。在公共卫生方面，当目的是估计某一人口中发生的伤害时，会出现几个问题，其中存在两个常见问题：（a）小的伤害通常难以观察，很少在官方数据中报告;（B）人们并不总是愿意提供关于某些具体伤害的信息，特别是当涉及儿童时。本研究检查所产生的方法问题，使用计算机辅助电话采访（CATI）的调查，使用规模扩大的方法来检测受伤的人数，由于在意大利0至14岁的儿童窒息。为此目的，在一周内对1 000名CATI进行了访谈，使用的是一份问卷，根据人口普查数据对已知规模的人口提出了33个问题。然后，每个受访者被问及与主要目标人群有关的其他问题（例如，已知发生窒息事故的儿童人数）。进行了敏感性分析，以估计不同亚群的影响，问题的顺序，以及访谈者对所得估计的影响。对于访问者的影响，没有特别的差异，观察到的伤害的总体估计。结论是，与CATI方法相关联的按比例放大估计器在伤害预防领域显示出很高的潜力，准确且稳健，但应特别注意访谈者的培训，以提高估计的稳定性。
The scale-up estimator is a network-based estimator for the size of hidden or hard to count subpopulations. Several issues arise in the public health context when the aim is the estimation of injuries occurring in a certain population, where two common problems are present: (a) Small injuries are usually difficult to observe and rarely reported in the official data and (b) people are not always compliant in giving information about some specific injuries, in particular when children are involved. This study checked the methodological issues arising from using a computer-assisted telephone interview (CATI) survey using the scale-up methodology for detecting the number of injuries due to choking in children ages 0 to 14 in Italy. For this purpose, 1,000 CATI interviews were conducted during a week using a questionnaire based on 33 questions about populations of known size according to census data. Then, each respondent was asked about other questions related to the main target population (e.g., number of children known to suffer from a choking accident). A sensitivity analysis was conducted for estimating the effect of varying subpopulations, order of the questions, and interviewer effects on the resulting estimates. For the interviewer effect, no particular differences were observed in the overall estimates of injuries. The conclusion is the scale-up estimator in association with CATI methodology shows a high potential in the field of injury prevention, being accurate and robust, but particular attention should be given to the training of the interviewers to improve stability of the estimates.