ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

스노우볼 표본 추출×최대 변이 표본 추출×
분야조사방법론조사방법론
계열Process / pipelineProcess / pipeline
기원 연도19611985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
창시자Leo A. GoodmanLincoln & Guba; systematised by Michael Quinn Patton
유형Non-probability sampling techniquePurposive qualitative sampling strategy
원전Goodman, 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
별칭chain-referral sampling, network sampling, respondent-driven sampling, referral samplingmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
관련35
요약Snowball 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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Snowball Sampling · Maximum Variation Sampling. 2026-06-15에 다음에서 검색함: https://scholargate.app/ko/compare