Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Снігова вибірка× | Вибірка з максимальною варіативністю× | |
|---|---|---|
| Галузь | Методологія опитувань | Методологія опитувань |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1961 | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Автор методу≠ | Leo A. Goodman | Lincoln & Guba; systematised by Michael Quinn Patton |
| Тип≠ | Non-probability sampling technique | Purposive qualitative sampling strategy |
| Основоположне джерело≠ | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Інші назви | chain-referral sampling, network sampling, respondent-driven sampling, referral sampling | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Пов'язані≠ | 3 | 5 |
| Підсумок≠ | 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. | Maximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation. |
| ScholarGateНабір даних ↗ |
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