Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Пропорциональная взвешенная выборка× | Многоступенчатая выборка× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-20th century (formalized 1950s–1960s) | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| Автор метода≠ | William G. Cochran; Leslie Kish | Leslie Kish; William G. Cochran |
| Тип | Probability sampling design | Probability sampling design |
| Основополагающий источник≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 |
| Другие названия | proportional probability weighting, proportional weight sampling, probability proportional to size sampling, PPS sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| Связанные≠ | 6 | 5 |
| Сводка≠ | Proportional weighted sampling is a probability-based survey design in which each subgroup (stratum or cluster) of the population is sampled and weighted in proportion to its true size in the population. By assigning sampling weights that mirror the actual composition of the population, the method ensures unbiased estimates without the need for post-hoc reweighting, and produces efficient estimates when variance within subgroups is relatively homogeneous. | 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. |
| ScholarGateНабор данных ↗ |
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