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。
| 阶乘对照组实验设计× | 全因子实验× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1926–1935 | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| 提出者 | Ronald A. Fisher | Ronald A. Fisher |
| 类型 | Experimental design | Experimental design |
| 开创性文献≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | 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 | factorial controlled experiment, factorial design with control, factorial RCT with control arm, multi-factor controlled experiment | full factorial design, complete factorial design, 2^k factorial design, FFD |
| 相关 | 6 | 6 |
| 摘要≠ | A factorial control group experimental design crosses two or more independent variables (factors) in a fully factorial structure while including at least one condition that serves as a no-treatment or standard-treatment control. This allows researchers to simultaneously estimate the main effect of each factor, their interactions, and the size of those effects relative to a meaningful baseline, maximising both causal precision and experimental efficiency. | A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome. |
| ScholarGate数据集 ↗ |
|
|