Sammenlign metoder

	Feltbasert snøballutvalg	Respondent-Driven Sampling	Snøballutvalg
Fagfelt	Surveymetodikk	Surveymetodikk	Surveymetodikk
Familie	Process / pipeline	Process / pipeline	Process / pipeline
Opprinnelsesår	1961 (foundational); field variant developed through 1970s–1980s ethnographic and hidden population research	1997	1961
Opphavsperson	Leo A. Goodman (snowball sampling); field adaptation through ethnographic and social network research traditions	Douglas Heckathorn	Leo A. Goodman
Type	Non-probability sampling technique	Probabilistic chain-referral sampling design	Non-probability sampling technique
Opprinnelig kilde	Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170.	Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199.	Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170.
Alias	in-person snowball sampling, fieldwork chain-referral sampling, field snowball sampling, face-to-face referral sampling	Chain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme	chain-referral sampling, network sampling, respondent-driven sampling, referral sampling
Relaterte	3	3	3
Sammendrag	Field-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.	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.	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.