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Lĩnh vựcPhương pháp luận khảo sátPhương pháp luận khảo sát
HọProcess / pipelineProcess / pipeline
Năm ra đời1950s–1960s1953–1965 (formalized in survey sampling literature)
Người khởi xướngFormalized by William G. Cochran and Leslie KishWilliam G. Cochran; Leslie Kish
LoạiProbability sampling designProbability sampling design
Công trình gốcCochran, 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
Tên gọi khácPPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size samplingproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling
Liên quan66
Tóm tắtProportional 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.Proportional 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.
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ScholarGateSo sánh phương pháp: Proportional Cluster Sampling · Proportional Stratified Sampling. Truy cập ngày 2026-06-19 từ https://scholargate.app/vi/compare