Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento factorial completo simple ciego× | Experimento factorial× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century | 1926–1935 |
| Autor original≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | Ronald A. Fisher |
| Tipo≠ | Controlled experimental design | Quantitative experimental design |
| Fuente seminal≠ | 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 ↗ |
| Alias | 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 |
| Relacionados | 6 | 6 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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