EXTENSIONS OF RESPONDENT-DRIVEN SAMPLING: ANALYZING CONTINUOUS VARIABLES AND CONTROLLING FOR DIFFERENTIAL RECRUITMENT
EXTENSIONS OF RESPONDENT-DRIVEN SAMPLING: ANALYZING CONTINUOUS VARIABLES AND CONTROLLING FOR DIFFERENTIAL RECRUITMENT
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DOI：
10.1111/j.1467-9531.2007.00188.x
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发表时间：
2007-01-01
期刊：
影响因子：
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通讯作者：
Heckathorn, Douglas D.
中科院分区：
文献类型：
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作者：
Heckathorn, Douglas D.
响应者驱动抽样（RDS）是一种基于网络的方法，用于对隐藏和难以到达的人群进行抽样，当其假设满足时，已被证明可以产生渐近无偏的总体估计。这包括解决一个主要的关注点，关于链引用样本的偏见，即产生一个人口估计，是独立的种子（初始科目）与抽样开始。然而，RDS估计仅限于名义变量，证明无偏倚所需的假设之一是不存在差异招募。本文的目的之一是分析差异招聘的作用，量化它产生的偏差。第二个目标是扩展RDS，使其可以用来分析连续变量的方式，控制差分招聘。第三个目的是描述使用RDS数据进行多变量分析的方法。该分析采用的数据来自2002年在大纽约都会区的264名爵士音乐家的RDS样本。
Respondent-driven sampling (RDS) is a network-based method for sampling hidden and hard-to-reach populations that has been shown to produce asymptotically unbiased population estimates it,hen its assumptions are satisfied. This includes resolving a major concern regarding bias in chain-referral samples-that is, producing a population estimate that is independent of the seeds (initial subjects) with which sampling began. However, RDS estimates are limited to nominal variables, and one of the assumptions required for the proof of lack of bias is the absence of differential recruitment. One aim of this paper is to analyze the role of differential recruitment, quantify the bias it produces. and propose a new estimator that controls for it. The second aim is to extend RDS so that it can be employed to analyze continuous variables in a manner that controls for differential recruitment. The third aim is to describe means for carrying out multivariate analyses using RDS data. The analyses employ data from an RDS sample of 264 jazz musicians in the greater New York metropolitan area, taken in 2002.