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分野調査方法論調査方法論
系統Process / pipelineProcess / pipeline
提唱年Mid-20th century onward1953–1965 (formalized in survey sampling literature)
提唱者Developed within mainstream sampling methodology; no single originatorWilliam G. Cochran; Leslie Kish
種類Non-probability sampling with proportional allocation constraintProbability sampling design
原典Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217. link ↗Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
別名quota-constrained convenience sampling, representative convenience sampling, proportionate accidental sampling, PCSproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling
関連46
概要Proportional convenience sampling is a non-probability technique that recruits participants through convenience while constraining each subgroup's share in the final sample to match its known proportion in the target population. It trades pure random selection for feasibility, but partially compensates by ensuring the sample's compositional profile mirrors the population on one or more key variables such as gender, age group, or academic year.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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ScholarGate手法を比較: Proportional Convenience Sampling · Proportional Stratified Sampling. 2026-06-19に以下より取得 https://scholargate.app/ja/compare