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| 적응형 층화 표본 추출× | 다단계 표본 추출× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1990s (formal development from Thompson 1990 onward) | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| 창시자≠ | Steven K. Thompson (adaptive sampling); allocation adaptations by Salehi, Seber, and others | Leslie Kish; William G. Cochran |
| 유형≠ | Probability-based adaptive sampling design | Probability sampling design |
| 원전≠ | Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI ↗ | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 |
| 별칭 | ASS, adaptive stratified design, stratified adaptive sampling, adaptive allocation stratified sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| 관련≠ | 6 | 5 |
| 요약≠ | Adaptive stratified sampling divides the population into strata and then applies an adaptive rule within each stratum: whenever an initially selected unit satisfies a pre-specified condition (e.g., a rare species is found, a variable exceeds a threshold), neighboring or related units are added to the sample. This combines the variance-reduction power of stratification with the ability to concentrate sampling effort where the phenomenon of interest is actually present. | Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage. |
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