方法对比
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| 簇随机析因实验× | 分数析因实验× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1990s (formalized in group-randomized trial literature) | 1945 (Finney); broader development 1950s–1970s by Box, Hunter |
| 提出者≠ | David M. Murray and colleagues; Allan Donner & Neil Klar | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work |
| 类型≠ | Experimental design | Quantitative experimental design |
| 开创性文献≠ | Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120912 | Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130 |
| 别名 | cluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experiment | fractional factorial design, FFD, 2^(k-p) design, fractional replication |
| 相关≠ | 5 | 4 |
| 摘要≠ | A cluster randomized factorial experiment assigns intact groups (clusters such as schools, clinics, or communities) at random to all combinations of two or more treatment factors, enabling simultaneous evaluation of multiple interventions and their interactions while respecting the natural grouping of participants. It merges the logistical and ethical advantages of cluster randomization with the efficiency of factorial design. | A fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments. |
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