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Pensampelan Teoretikal Dalam Talian×Pensampelan Bola Salji×
BidangMetodologi TinjauanMetodologi Tinjauan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1967 (theoretical sampling); online adaptation ~2000s–2010s1961
PengasasGlaser & Strauss (theoretical sampling); adapted to online contexts by internet qualitative researchersLeo A. Goodman
JenisQualitative sampling strategyNon-probability sampling technique
Sumber perintisGlaser, 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 ↗
Aliasinternet-based theoretical sampling, digital theoretical sampling, web-based theoretical samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
Berkaitan43
RingkasanOnline 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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ScholarGateBandingkan kaedah: Online theoretical sampling · Snowball Sampling. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare