방법 비교
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| 온라인 체계적 표본 추출× | 온라인 단순 무작위 표본 추출× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Late 1990s–2000s (web survey era) | Late 1990s–2000s (digital adaptation) |
| 창시자≠ | Adapted from classical systematic sampling (Madow & Madow, 1944) for web survey contexts | Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward |
| 유형 | Probability sampling design | Probability sampling design |
| 원전 | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521713528 | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535 |
| 별칭 | web systematic sampling, digital systematic sampling, interval sampling online, e-survey systematic sampling | web simple random sampling, internet SRS, digital random sampling, online SRS |
| 관련≠ | 4 | 5 |
| 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 simple random sampling applies the logic of classical simple random sampling (SRS) to digital data collection: every member of a defined online population has an equal and independent probability of being selected, and the survey is administered via web platform, email link, or online panel. The approach combines the statistical rigour of probability sampling with the speed and cost advantages of internet-based survey delivery. |
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