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。
| 比例分层抽样× | 系统抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1953–1965 (formalized in survey sampling literature) | Mid-20th century (Cochran 1953; Kish 1965) |
| 提出者≠ | William G. Cochran; Leslie Kish | William G. Cochran; formalized in survey sampling theory |
| 类型 | Probability sampling design | Probability sampling design |
| 开创性文献 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 别名 | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| 相关≠ | 6 | 5 |
| 摘要≠ | 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. | Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity. |
| ScholarGate数据集 ↗ |
|
|