Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Односторонний слепой полнофакторный эксперимент× | Двойной слепой полный 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 | 1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward |
| Автор метода≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | Full factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th century |
| Тип≠ | Controlled experimental design | Controlled experimental design with masking |
| Основополагающий источник | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 |
| Другие названия | single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design | double-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trial |
| Связанные≠ | 6 | 4 |
| 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 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. |
| ScholarGateНабор данных ↗ |
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