방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 온라인 단순 무작위 표본 추출× | 단순 무작위 표본 추출(SRS)× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Late 1990s–2000s (digital adaptation) | Early 20th century; systematized by Cochran 1953/1977 |
| 창시자≠ | Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| 유형 | Probability sampling design | Probability sampling design |
| 원전≠ | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 별칭 | web simple random sampling, internet SRS, digital random sampling, online SRS | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| 관련≠ | 5 | 6 |
| 요약≠ | 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. | Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated. |
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