Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento factorial fraccionado piloto× | Experimento factorial× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1950s–1960s (fractional factorial foundation); pilot study integration formalized in 20th century DOE practice | 1926–1935 |
| Autor original≠ | Box, Hunter & Hunter (fractional factorial); pilot study concept developed broadly in industrial and clinical experimentation | Ronald A. Fisher |
| Tipo≠ | Experimental screening design (pilot phase) | Quantitative experimental design |
| Fuente seminal≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Alias | pilot FFE, screening pilot design, pilot fractional factorial, pilot FF screening study | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | A pilot fractional factorial experiment is a small-scale preliminary study that uses a fractional factorial design — testing only a subset of all possible factor combinations — to screen multiple factors simultaneously before committing to a full-scale investigation. It provides early estimates of effect sizes, variance, and feasibility at substantially reduced cost and participant burden compared to a full factorial pilot or a full-scale trial. | 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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