手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| オンライン単純無作為抽出法× | 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≠ | Late 1990s–2000s (digital adaptation) | 1977 |
| 提唱者≠ | Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward | William G. Cochran |
| 種類≠ | Probability sampling design | Probability-based survey sampling design |
| 原典≠ | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| 別名 | web simple random sampling, internet SRS, digital random sampling, online SRS | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| 関連≠ | 5 | 2 |
| 概要≠ | Online simple random sampling applies the logic of classical simple random sampling (SRS) to digital data collection: every member of a defined online population has an equal and independent probability of being selected, and the survey is administered via web platform, email link, or online panel. The approach combines the statistical rigour of probability sampling with the speed and cost advantages of internet-based survey delivery. | 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. |
| ScholarGateデータセット ↗ |
|
|