Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Односліпий факторний експеримент× | Дробовий факторний експеримент× | |
|---|---|---|
| Галузь | Планування експерименту | Планування експерименту |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | Factorial design: 1926; single-blinding as systematic practice: mid-20th century | 1945 (Finney); broader development 1950s–1970s by Box, Hunter |
| Автор методу≠ | Fisher, R. A. (factorial design); blinding practices formalized in clinical trials literature (20th century) | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work |
| Тип≠ | Controlled experimental design | Quantitative experimental design |
| Основоположне джерело≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | 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 |
| Інші назви≠ | single-masked factorial trial, single-blind factorial design, SB factorial experiment | fractional factorial design, FFD, 2^(k-p) design, fractional replication |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | A single-blind factorial experiment combines factorial design — simultaneously varying two or more independent factors across all their level combinations — with single-blinding, in which participants are unaware of which treatment condition they have been assigned to while researchers and administrators remain unmasked. This design enables efficient estimation of main effects and interactions while reducing participant-side response bias. | 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. |
| ScholarGateНабір даних ↗ |
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