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| 민감도 분석 기반 목적 표본 추출× | 스노우볼 표본 추출× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1990s–2000s | 1961 |
| 창시자≠ | Rooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literature | Leo A. Goodman |
| 유형≠ | Purposive qualitative sampling with robustness verification | Non-probability sampling technique |
| 원전≠ | Patton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage Publications. ISBN: 978-1412972123 | Goodman, L. A. (1961). Snowball sampling. Annals of Mathematical Statistics, 32(1), 148–170. DOI ↗ |
| 별칭≠ | purposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selection | chain-referral sampling, network sampling, respondent-driven sampling, referral sampling |
| 관련≠ | 5 | 3 |
| 요약≠ | Sensitivity analysis-based purposive sampling extends conventional purposive sampling by systematically testing whether key findings or case-selection decisions change when the inclusion criteria, selection logic, or boundary conditions are altered. It applies the logic of sensitivity analysis — standard in quantitative research and systematic reviews — to qualitative case selection, giving researchers explicit evidence of how robust their purposive choices are to plausible alternative selection rules. | 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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