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Выборка по отклоняющимся случаям на основе полевых данных×Снежный ком×
ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появления1980s–1990s (purposive/deviant case sampling literature)1961
Автор методаMichael Quinn Patton; Yvonna Lincoln & Egon GubaLeo A. Goodman
ТипPurposive qualitative sampling strategyNon-probability sampling technique
Основополагающий источникPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗
Другие названияfield deviant case sampling, outlier case sampling in field research, extreme case sampling in fieldwork, in-situ deviant case samplingchain-referral sampling, network sampling, respondent-driven sampling, referral sampling
Связанные53
СводкаField-based deviant case sampling is a purposive strategy that deliberately selects cases deviating markedly from an established pattern or norm, with data collected through direct fieldwork — observation, in-situ interviews, and ethnographic engagement — in the participants' natural settings. By studying outliers on-site, researchers gain contextually grounded insight into why and how certain cases diverge from the typical pattern.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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
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ScholarGateСравнение методов: Field-based Deviant Case Sampling · Snowball Sampling. Получено 2026-06-15 из https://scholargate.app/ru/compare