Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Svērta stratificētā izlase× | Vienkāršā nejaušā izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1953–1965 | Early 20th century; systematized by Cochran 1953/1977 |
| Autors≠ | Leslie Kish; William G. Cochran | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Tips≠ | Probability sampling with weighting | 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 | stratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSS | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Saistītās | 6 | 6 |
| Kopsavilkums≠ | Weighted stratified sampling divides a population into non-overlapping strata and draws a probability sample from each stratum, then attaches a design weight to every selected unit so that estimates correctly represent the full population. Weights compensate for unequal selection probabilities that arise from disproportionate stratum allocations, non-response, or frame imperfections, making the procedure the backbone of most large-scale national and international surveys. | 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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