Dombrowski Kirk, Khan Bilal, Wendel Travis, McLean Katherine, Misshula Evan, Curtis Ric
Social Networks Research Group, John Jay College, CUNY, New York, USA.
CUNY Graduate Center, New York, USA.
Adv Appl Sociol. 2012 Dec 1;2(4):245-252. doi: 10.4236/aasoci.2012.24032.
As part of a recent study of the dynamics of the retail market for methamphetamine use in New York City, we used network sampling methods to estimate the size of the total networked population. This process involved sampling from respondents' list of co-use contacts, which in turn became the basis for capture-recapture estimation. Recapture sampling was based on links to other respondents derived from demographic and "telefunken" matching procedures-the latter being an anonymized version of telephone number matching. This paper describes the matching process used to discover the links between the solicited contacts and project respondents, the capture-recapture calculation, the estimation of "false matches", and the development of confidence intervals for the final population estimates. A final population of 12,229 was estimated, with a range of 8235 - 23,750. The techniques described here have the special virtue of deriving an estimate for a hidden population while retaining respondent anonymity and the anonymity of network alters, but likely require larger sample size than the 132 persons interviewed to attain acceptable confidence levels for the estimate.
作为纽约市甲基苯丙胺使用零售市场动态近期研究的一部分,我们使用网络抽样方法来估计整个网络人群的规模。这一过程包括从受访者的共同使用联系人列表中抽样,这反过来又成为捕获再捕获估计的基础。再捕获抽样基于通过人口统计学和“telefunken”匹配程序与其他受访者建立的联系,后者是电话号码匹配的匿名版本。本文描述了用于发现被征求的联系人与项目受访者之间联系的匹配过程、捕获再捕获计算、“错误匹配”的估计以及最终总体估计的置信区间的制定。估计最终总体为12229人,范围在8235至23750人之间。这里描述的技术具有特殊优点,即在保持受访者匿名性和网络联系人匿名性的同时,为隐藏人群得出估计值,但可能需要比接受访谈的132人更大的样本量,才能获得可接受的估计置信水平。