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| 온라인 체계적 표본 추출× | 온라인 군집 표본 추출× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Late 1990s–2000s (web survey era) | Late 1990s–2000s (as internet surveys became prevalent) |
| 창시자≠ | Adapted from classical systematic sampling (Madow & Madow, 1944) for web survey contexts | Adapted from cluster sampling (Mahalanobis, Hansen & Hurwitz, 1940s) to online survey contexts |
| 유형≠ | Probability sampling design | Probability sampling technique |
| 원전≠ | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521713528 | Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗ |
| 별칭≠ | web systematic sampling, digital systematic sampling, interval sampling online, e-survey systematic sampling | internet cluster sampling, web cluster sampling, digital cluster sampling |
| 관련 | 4 | 4 |
| 요약≠ | Online systematic sampling applies the classical every-k-th-element rule to digital survey contexts — selecting respondents from a web panel, membership database, or visitor stream at a fixed interval. It combines the operational simplicity of systematic sampling with the reach and speed of online data collection, producing a roughly representative sample without requiring complex randomisation infrastructure. | Online cluster sampling applies the classic cluster sampling logic to internet-based research: naturally occurring digital groups — such as online communities, email lists, forum memberships, or institutional user registries — serve as clusters, and selected clusters are surveyed in full or partially via web-based instruments. It offers a practical route to probability-based online samples when no complete list of individuals exists but lists of digital groups are accessible. |
| ScholarGate데이터셋 ↗ |
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