Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Pilotēta daudzpakāpju izlase× | Stratificētā izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | Mid-20th century onward | 1977 |
| Autors≠ | Survey methodology tradition; formalized in Kish (1965) and later survey practice literature | William G. Cochran |
| Tips≠ | Probability sampling with pilot validation phase | Probability-based survey sampling design |
| Pirmavots≠ | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| Citi nosaukumi | pilot MSS, multistage pilot sampling, trial multistage sampling, multistage sampling pilot test | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Saistītās≠ | 5 | 2 |
| Kopsavilkums≠ | Pilot multistage sampling applies a small-scale trial run of a multistage sampling design before committing to the full fieldwork. The researcher draws a mini-version of the hierarchical sample — typically spanning the same stages (e.g., regions, then clusters, then individuals) — to test frame quality, stage-transition procedures, and variance estimates, then uses those findings to calibrate the main sampling plan. | Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics. |
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