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Proporcionalno stratifikovano uzorkovanje×Слојевити узорак×
OblastMetodologija anketaMetodologija anketa
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka1953–1965 (formalized in survey sampling literature)1977
TvoracWilliam G. Cochran; Leslie KishWilliam G. Cochran
TipProbability sampling designProbability-based survey sampling design
Temeljni izvorCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Drugi naziviproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Srodne62
SažetakProportional 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.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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ScholarGateUporedite metode: Proportional Stratified Sampling · Stratified Sampling. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare