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Systematyczne próbkowanie proporcjonalne×Próba warstwowa×
DziedzinaMetodologia badań sondażowychMetodologia badań sondażowych
RodzinaProcess / pipelineProcess / pipeline
Rok powstaniaMid-20th century (formalized ~1950s–1970s)1977
TwórcaCodified in classical survey sampling theory; see Cochran (1977)William G. Cochran
TypProbability sampling designProbability-based survey sampling design
Źródło pierwotneCochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Inne nazwyproportional 1-in-k sampling, equal-probability systematic sampling, proportionate systematic selection, PPS systematic samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Pokrewne62
PodsumowanieProportional systematic sampling combines systematic (every k-th element) selection with proportional allocation across subgroups, ensuring that each stratum contributes sample units in proportion to its share of the total population. The result is an equal-probability design that is administratively simple, spreads the sample evenly across an ordered frame, and eliminates the need for post-hoc weighting when strata are sampled at a uniform rate.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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ScholarGatePorównaj metody: Proportional Systematic Sampling · Stratified Sampling. Pobrano 2026-06-17 z https://scholargate.app/pl/compare