Respondent-Driven Sampling With Hard-to-Reach Emerging Adults: An Introduction and Case Study With Rural African Americans
Respondent-Driven Sampling With Hard-to-Reach Emerging Adults: An Introduction and Case Study With Rural African Americans
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DOI：
10.1177/0743558410384734
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发表时间：
2011-01-01
影响因子：
2
通讯作者：
Slater, LaTrina M.
中科院分区：
文献类型：
--
作者：
Kogan, Steven M.;Wejnert, Cyprian;Slater, LaTrina M.
从没有上过大学的新兴成年人群体中获得代表性样本对研究人员来说是一个挑战。本文介绍了响应驱动抽样（RDS），一种用于获得难以接触但社会相互关联的人群的代表性样本的方法。RDS结合了一个规定的方法链引用的数学模型，以调整潜在的抽样偏差。一个案例研究是使用RDS获得农村非洲裔美国新兴成年人的样本，并记录与此人口的方法的可行性，有效性和效率。RDS相关的研究结果表明，农村非洲裔美国新兴的成年人形成互联的社交网络，适合使用RDS。RDS程序是一种可接受的和相对有效的策略，农村非洲裔美国人，可能会产生更多的代表性样本比传统的雪球抽样，并提供数据的潜在抽样偏差规划多变量分析。
Obtaining representative samples from populations of emerging adults who do not attend college is challenging for researchers. This article introduces respondent-driven sampling (RDS), a method for obtaining representative samples of hard-to-reach but socially interconnected populations. RDS combines a prescribed method for chain referral with a mathematical model to adjust for potential sampling bias. A case study is presented of the use of RDS to obtain a sample of rural African American emerging adults and to document the feasibility, effectiveness, and efficiency of the method with this population. RDS-related findings indicate that rural African American emerging adults form interconnected social networks that are appropriate for using RDS. RDS procedures are an acceptable and relatively efficient strategy for rural African Americans that is likely to yield more representative samples than traditional snowball sampling and provides data on potential sampling biases for planning multivariate analyses.