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Proporciálne stratifikovaný výber×Stratifikovaný výber×
OdborMetodológia dotazníkových prieskumovMetodológia dotazníkových prieskumov
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1953–1965 (formalized in survey sampling literature)1977
TvorcaWilliam G. Cochran; Leslie KishWilliam G. Cochran
TypProbability sampling designProbability-based survey sampling design
Pôvodný zdrojCochran, 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
Ďalšie názvyproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Príbuzné62
ZhrnutieProportional 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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ScholarGatePorovnať metódy: Proportional Stratified Sampling · Stratified Sampling. Získané 2026-06-18 z https://scholargate.app/sk/compare