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| 현장 기반 계통 추출법× | 단순 무작위 표본 추출(SRS)× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s | Early 20th century; systematized by Cochran 1953/1977 |
| 창시자≠ | William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literature | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| 유형 | Probability sampling design | Probability sampling design |
| 원전 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 별칭≠ | systematic field sampling, grid-based field sampling, regular interval field sampling | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| 관련 | 6 | 6 |
| 요약≠ | Field-based systematic sampling applies systematic (regular-interval) selection to real-world field environments — plots of land, transects, geographic grids, or physical survey routes. A random starting point is chosen, then every k-th unit or location is sampled at equal spatial or sequential intervals. Widely used in ecology, agriculture, environmental science, and field surveys, it delivers spatially even coverage at low operational cost while maintaining probability-sampling properties. | 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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