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OblastMetodologija anketaMetodologija anketa
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka1961 (foundational); field variant developed through 1970s–1980s ethnographic and hidden population research1961
TvoracLeo A. Goodman (snowball sampling); field adaptation through ethnographic and social network research traditionsLeo A. Goodman
TipNon-probability sampling techniqueNon-probability sampling technique
Temeljni izvorGoodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗
Drugi naziviin-person snowball sampling, fieldwork chain-referral sampling, field snowball sampling, face-to-face referral samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
Srodne33
SažetakField-based snowball sampling is a non-probability chain-referral technique in which an initial set of in-person contacts (seeds) recruit further participants from within their real-world social networks, expanding the sample iteratively through face-to-face interaction in naturalistic field settings. It is the default snowball approach in ethnographic and community fieldwork, and is particularly valuable when the target population is hidden, hard-to-reach, or lacks a sampling frame.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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ScholarGateUporedite metode: Field-based Snowball Sampling · Snowball Sampling. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare