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。
| 多层整群抽样× | 按规模概率抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990s | 1950s–1960s |
| 提出者≠ | W. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologists | Formalized by William G. Cochran and 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 | hierarchical cluster sampling, nested cluster sampling, multi-stage cluster sampling, clustered multilevel sampling | PPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size sampling |
| 相关 | 6 | 6 |
| 摘要≠ | Multi-level cluster sampling is a probability sampling design for hierarchically structured populations — such as students nested within classrooms within schools within districts. Clusters are randomly selected at each level of the hierarchy before individual units are sampled within the final-level clusters. The design mirrors the natural nesting of real-world populations and enables efficient large-scale data collection while supporting multilevel statistical analysis. | 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. |
| ScholarGate数据集 ↗ |
|
|