Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Двойной слепой полный факторный эксперимент× | Полный факторный эксперимент× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| Автор метода≠ | Full factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th century | Ronald A. Fisher |
| Тип≠ | Controlled experimental design with masking | Experimental design |
| Основополагающий источник≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 | 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 |
| Другие названия | double-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trial | full factorial design, complete factorial design, 2^k factorial design, FFD |
| Связанные≠ | 4 | 6 |
| Сводка≠ | A double-blind full factorial experiment crosses every level of every independent variable to create all possible treatment combinations, while ensuring that neither participants nor outcome assessors know which condition each participant has been assigned to. This design simultaneously achieves comprehensive examination of main effects and all interactions, and protection against performance and detection bias through blinding — making it especially valuable in clinical, pharmacological, and behavioral research. | 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. |
| ScholarGateНабор данных ↗ |
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