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確率比例抽出(Proportional Cluster Sampling×単純無作為抽出法×
分野調査方法論調査方法論
系統Process / pipelineProcess / pipeline
提唱年1950s–1960sEarly 20th century; systematized by Cochran 1953/1977
提唱者Formalized by William G. Cochran and Leslie KishWilliam Gosset, Jerzy Neyman, and formalized by William Cochran
種類Probability sampling designProbability sampling design
原典Cochran, 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
別名PPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size samplingSRS, unrestricted random sampling, equal-probability sampling, EPSEM
関連66
概要Proportional 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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ScholarGate手法を比較: Proportional Cluster Sampling · Simple random sampling. 2026-06-17に以下より取得 https://scholargate.app/ja/compare