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Proportional Cluster Sampling×Prost slučajni uzorak×
OblastMetodologija anketaMetodologija anketa
PorodicaProcess / pipelineProcess / pipeline
Godina nastanka1950s–1960sEarly 20th century; systematized by Cochran 1953/1977
TvoracFormalized by William G. Cochran and Leslie KishWilliam Gosset, Jerzy Neyman, and formalized by William Cochran
TipProbability sampling designProbability sampling design
Temeljni izvorCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Drugi naziviPPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size samplingSRS, unrestricted random sampling, equal-probability sampling, EPSEM
Srodne66
SažetakProportional cluster sampling selects naturally occurring groups (clusters) from a population with probability proportional to each cluster's size, so that larger clusters have a higher chance of selection while every individual element retains an equal overall inclusion probability. This design efficiently handles large, geographically dispersed populations and is the backbone of national health, education, and social surveys worldwide.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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ScholarGateUporedite metode: Proportional Cluster Sampling · Simple random sampling. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare