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| 階層型クラスター抽出法× | 層化抽出法× | |
|---|---|---|
| 分野 | 調査方法論 | 調査方法論 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990s | 1977 |
| 提唱者≠ | W. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologists | William G. Cochran |
| 種類≠ | Probability sampling design | Probability-based survey sampling design |
| 原典 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| 別名 | hierarchical cluster sampling, nested cluster sampling, multi-stage cluster sampling, clustered multilevel sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| 関連≠ | 6 | 2 |
| 概要≠ | 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. | Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics. |
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