Porovnat metody
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| Proporcionální systematický výběr× | Vícestupňový výběr× | |
|---|---|---|
| Obor | Metodologie dotazníkových šetření | Metodologie dotazníkových šetření |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | Mid-20th century (formalized ~1950s–1970s) | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| Tvůrce≠ | Codified in classical survey sampling theory; see Cochran (1977) | Leslie Kish; William G. Cochran |
| Typ | Probability sampling design | Probability sampling design |
| Původní zdroj≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 |
| Další názvy | proportional 1-in-k sampling, equal-probability systematic sampling, proportionate systematic selection, PPS systematic sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| Příbuzné≠ | 6 | 5 |
| Shrnutí≠ | Proportional systematic sampling combines systematic (every k-th element) selection with proportional allocation across subgroups, ensuring that each stratum contributes sample units in proportion to its share of the total population. The result is an equal-probability design that is administratively simple, spreads the sample evenly across an ordered frame, and eliminates the need for post-hoc weighting when strata are sampled at a uniform rate. | 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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