Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Односторонний слепой полнофакторный эксперимент× | Факторный эксперимент× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century | 1926–1935 |
| Автор метода≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | Ronald A. Fisher |
| Тип≠ | Controlled experimental design | Quantitative experimental design |
| Основополагающий источник≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Другие названия | single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Связанные | 6 | 6 |
| Сводка≠ | A single-blind full factorial experiment systematically tests every combination of all factor levels while keeping participants unaware of their treatment assignment. This design allows simultaneous estimation of all main effects and all interaction effects between factors, with single-blind masking reducing participant-side biases such as demand characteristics and expectation effects — without requiring investigator blinding. | A factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect. |
| ScholarGateНабор данных ↗ |
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