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基于被访者抽样×捕获-再捕获种群估计×
领域调查方法论调查方法论
方法族Process / pipelineRegression model
起源年份19971978
提出者Douglas HeckathornOtis, Burnham, White & Anderson
类型Probabilistic chain-referral sampling designProbabilistic population size estimator
开创性文献Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗Otis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗
别名Chain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü ÖrneklemeMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala
相关32
摘要Respondent-Driven Sampling (RDS) is a probabilistic chain-referral method designed to reach hidden or hard-to-reach populations that lack a sampling frame. Introduced by sociologist Douglas Heckathorn in 1997, RDS combines snowball recruitment with mathematical weighting based on participants' personal network sizes, allowing researchers to generate population-level estimates even when no complete membership list exists.Capture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records.
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ScholarGate方法对比: Respondent-Driven Sampling · Capture-Recapture. 于 2026-06-17 检索自 https://scholargate.app/zh/compare