Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Eșantionare stratificată ponderată× | Eșantionare multistadială× | |
|---|---|---|
| Domeniu | Metodologia anchetelor | Metodologia anchetelor |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1953–1965 | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| Autorul original | Leslie Kish; William G. Cochran | Leslie Kish; William G. Cochran |
| Tip≠ | Probability sampling with weighting | Probability sampling design |
| Sursa seminală≠ | 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 |
| Denumiri alternative | stratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSS | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | 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. | 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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