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Tiešsaistes teorētiskā izlase×Sniegpulksteņa (vai ķēdes) izlase×
NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1967 (theoretical sampling); online adaptation ~2000s–2010s1961
AutorsGlaser & Strauss (theoretical sampling); adapted to online contexts by internet qualitative researchersLeo A. Goodman
TipsQualitative sampling strategyNon-probability sampling technique
PirmavotsGlaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗
Citi nosaukumiinternet-based theoretical sampling, digital theoretical sampling, web-based theoretical samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
Saistītās43
KopsavilkumsOnline theoretical sampling applies the logic of theoretical sampling — selecting participants or data sources based on emerging theory rather than predetermined criteria — within digital environments. Researchers iteratively recruit from online communities, forums, social media, or virtual networks, guided at each step by conceptual gaps identified during concurrent analysis. It is most commonly used in grounded theory studies conducted wholly or partially over the internet.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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ScholarGateSalīdzināt metodes: Online theoretical sampling · Snowball Sampling. Izgūts 2026-06-17 no https://scholargate.app/lv/compare