Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Stratificētā izlase ar proporcionālu sadalījumu× | Vienkāršā nejaušā izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1953–1965 (formalized in survey sampling literature) | Early 20th century; systematized by Cochran 1953/1977 |
| Autors≠ | William G. Cochran; Leslie Kish | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Tips | Probability sampling design | Probability sampling design |
| Pirmavots | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Citi nosaukumi | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Saistītās | 6 | 6 |
| Kopsavilkums≠ | Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments. | Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated. |
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