方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 比例系统抽样× | 比例分层抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Mid-20th century (formalized ~1950s–1970s) | 1953–1965 (formalized in survey sampling literature) |
| 提出者≠ | Codified in classical survey sampling theory; see Cochran (1977) | William G. Cochran; Leslie Kish |
| 类型 | Probability sampling design | Probability sampling design |
| 开创性文献≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 别名 | proportional 1-in-k sampling, equal-probability systematic sampling, proportionate systematic selection, PPS systematic sampling | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| 相关 | 6 | 6 |
| 摘要≠ | Proportional systematic sampling combines systematic (every k-th element) selection with proportional allocation across subgroups, ensuring that each stratum contributes sample units in proportion to its share of the total population. The result is an equal-probability design that is administratively simple, spreads the sample evenly across an ordered frame, and eliminates the need for post-hoc weighting when strata are sampled at a uniform rate. | 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. |
| ScholarGate数据集 ↗ |
|
|