Respondent-driven sampling

被引：106

作者：

Schonlau, Matthias ^{[1
]}

Liebau, Elisabeth ^{[2
]}

机构：

[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada

[2] DIW Berlin, German Inst Econ Res, SOEP Grp, Berlin, Germany

来源：

STATA JOURNAL | 2012年 / 12卷 / 01期

关键词：

st0247; rds; rds_network; respondent-driven sampling; DRUG-USERS;

D O I：

10.1177/1536867X1201200106

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Respondent-driven sampling is a network sampling technique typically employed for hard-to-reach populations (for example, drug users, men who have sex with men, people with HIV). Similarly to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats iteratively, thereby forming long referral chains. Unlike in snowball sampling, it is crucial to obtain estimates of respondents' personal network sizes (that is, number of acquaintances in the target population) and information about who recruited whom. Markov chain theory makes it possible to derive population estimates and sampling weights. We introduce a new Stata command for respondent-driven sampling and illustrate its use.

引用

页码：72 / 93

页数：22

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