Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Expérience factorielle fractionnaire en double aveugle× | Expérience factorielle complète× | |
|---|---|---|
| Domaine | Plans d'expériences | Plans d'expériences |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1960s onward (combination widely used in pharmaceutical and food science research) | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| Auteur d'origine≠ | Fractional factorial: Box & Hunter (1961); double-blind convention: clinical trial methodology (mid-20th century) | Ronald A. Fisher |
| Type≠ | Controlled experimental design with blinding and factor-space reduction | Experimental design |
| Source fondatrice | 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 | 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 |
| Alias | double-blind FFE, blinded fractional factorial design, double-blind FFD, masked fractional factorial experiment | full factorial design, complete factorial design, 2^k factorial design, FFD |
| Apparentées≠ | 3 | 6 |
| Résumé≠ | A double-blind fractional factorial experiment combines two powerful methodological protections: fractional factorial design, which tests a carefully chosen subset of all possible factor combinations to achieve efficiency, and double-blind administration, which prevents both participants and assessors from knowing which treatment combination has been applied. The result is an experiment that is both resource-efficient and protected against expectation and assessment bias. | A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome. |
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