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方法族Process / pipelineProcess / pipeline
起源年份19971961
提出者Douglas D. Heckathorn (formal probability-weighted variant)Leo A. Goodman
类型Probability-adjusted chain-referral samplingNon-probability sampling technique
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 ↗Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗
别名weight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
相关53
摘要Weighted snowball sampling is a chain-referral technique in which participants recruit peers from a hidden or hard-to-reach population, and differential inclusion probabilities are estimated and corrected through statistical weights. Unlike basic snowball sampling, the weighting step allows approximately unbiased population estimates, bridging the gap between convenience-driven recruitment and probability-based inference.Snowball sampling is a non-probability recruitment technique in which initial participants (seeds) refer the researcher to others who meet the study criteria, and those referrals in turn refer further participants. The sample grows incrementally — like a rolling snowball — until the required size or theoretical saturation is reached. It is the method of choice when a target population has no accessible sampling frame, such as undocumented migrants, illicit drug users, survivors of stigmatised experiences, or members of closed professional networks.
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ScholarGate方法对比: Weighted Snowball Sampling · Snowball Sampling. 于 2026-06-17 检索自 https://scholargate.app/zh/compare