Respondent-driven sampling to recruit MDMA users: a methodological assessment
Respondent-driven sampling to recruit MDMA users: a methodological assessment
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DOI：
10.1016/j.drugalcdep.2004.10.011
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发表时间：
2005-05-09
影响因子：
4.2
通讯作者：
Li, LN
中科院分区：
文献类型：
--
作者：
Wang, JC;Carlson, RG;Li, LN
招募更能代表非法吸毒者的样本是药物滥用研究中持续存在的挑战。被调查者驱动抽样（RDS）是一种新的链式参照抽样形式，旨在消除非随机选择初始被调查者所造成的偏差，并减少常规链式参照抽样中通常存在的其他偏差来源（如志愿服务和掩蔽造成的偏差）。本研究提供了一个方法学评估RDS的应用在年轻的成年人MDMA/摇头丸用户在俄亥俄州。结果表明，样本组合物收敛到平衡内有限数量的招聘波，独立的初始新兵（即种子）的特性。样本组成接近理论平衡组成，并没有显着不同的估计人口组成，除了白色受访者被过度抽样和黑人受访者被抽样不足。志愿服务和掩蔽的采样过程中的效果被认为是不显着的。虽然确定生产种子和提高转介率是实施RDS时的重大挑战，但研究结果表明RDS是一种灵活而稳健的抽样方法。RDS有可能被广泛用于非法药物使用人群的研究。(c)2004爱思唯尔爱尔兰有限公司保留所有权利。
Recruiting samples that are more representative of illicit drug users is an on-going challenge in substance abuse research. Respondent-driven sampling (RDS), a new form of chain-referral sampling, is designed to eliminate the bias caused by the non-random selection of the initial recruits and reduce other sources of bias (e.g. bias due to volunteerism and masking) that are usually associated with regular chain-referral sampling. This study provides a methodological assessment of the application of RDS among young adult MDMA/ecstasy users in Ohio. The results show that the sample compositions converged to equilibrium within a limited number of recruitment waves, independent of the characteristics of the initial recruits (i.e. seeds). The sample compositions approximated the theoretical equilibrium compositions, and were not significantly different from the estimated population compositions-with the exception that White respondents were over-sampled and Black respondents were under-sampled. The effect of volunteerism and masking on the sampling process was found not to be significant. Though identifying productive seeds and improving the referral rate are significant challenges when implementing RDS, the findings demonstrate that RDS is a flexible and robust sampling method. RDS has the potential to be widely employed in studies of illicit drug-using populations. (c) 2004 Elsevier Ireland Ltd. All rights reserved.