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Proportionell klusterurval×Stratifierad stickprovsdragning×
ÄmnesområdeSurveymetodikSurveymetodik
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1950s–1960s1977
UpphovspersonFormalized by William G. Cochran and Leslie KishWilliam G. Cochran
TypProbability sampling designProbability-based survey sampling design
UrsprungskällaCochran, 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
AliasPPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Närliggande62
SammanfattningProportional 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.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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ScholarGateJämför metoder: Proportional Cluster Sampling · Stratified Sampling. Hämtad 2026-06-18 från https://scholargate.app/sv/compare