Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Proporcionālā svērtā izlase× | Daudpakāpju izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | Mid-20th century (formalized 1950s–1960s) | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| Autors≠ | William G. Cochran; Leslie Kish | Leslie Kish; William G. Cochran |
| Tips | Probability sampling design | Probability sampling design |
| Pirmavots≠ | 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 |
| Citi nosaukumi | proportional probability weighting, proportional weight sampling, probability proportional to size sampling, PPS sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| Saistītās≠ | 6 | 5 |
| Kopsavilkums≠ | 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. |
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