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Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Formålsrettet utvalg×Respondent-Driven Sampling×Snøballutvalg×
FagfeltSurveymetodikkSurveymetodikkSurveymetodikk
FamilieProcess / pipelineProcess / pipelineProcess / pipeline
OpprinnelsesårFormalized ~1980–199019971961
OpphavspersonMichael Quinn Patton (systematic articulation); roots in early qualitative inquiryDouglas HeckathornLeo A. Goodman
TypeNon-probability sampling strategyProbabilistic chain-referral sampling designNon-probability sampling technique
Opprinnelig kildePatton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796Heckathorn, 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 ↗
Aliasjudgmental sampling, selective sampling, criterion-based sampling, purposeful samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örneklemechain-referral sampling, network sampling, respondent-driven sampling, referral sampling
Relaterte433
SammendragPurposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work.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.
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ScholarGateSammenlign metoder: Purposive sampling · Respondent-Driven Sampling · Snowball Sampling. Hentet 2026-06-17 fra https://scholargate.app/no/compare