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| 比例便宜サンプリング× | 比例層化抽出× | |
|---|---|---|
| 分野 | 調査方法論 | 調査方法論 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | Mid-20th century onward | 1953–1965 (formalized in survey sampling literature) |
| 提唱者≠ | Developed within mainstream sampling methodology; no single originator | William G. Cochran; Leslie Kish |
| 種類≠ | Non-probability sampling with proportional allocation constraint | Probability 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, PCS | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| 関連≠ | 4 | 6 |
| 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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