Comparer des méthodes

	Expérience factorielle fractionnaire simple-aveugle	Expérience factorielle
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	1940s–1950s (fractional factorial foundations); blinding conventions formalised through 1960s–1980s	1926–1935
Auteur d'origine	Fractional factorial theory: R. L. Plackett & J. P. Burman (1946); single-blinding practice codified in clinical trial methodology (20th century)	Ronald A. Fisher
Type	Controlled experimental design	Quantitative 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	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Alias	single-masked fractional factorial, single-blind FFD, partially blinded fractional factorial, single-blind 2^(k-p) design	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Apparentées	5	6
Résumé	A single-blind fractional factorial experiment studies multiple factors simultaneously by testing only a strategically chosen subset — a fraction — of all possible factor-level combinations, while keeping participants unaware of which treatment condition they receive. This design yields substantial information about main effects and selected interactions at a fraction of the cost of a full factorial experiment, with single-blinding reducing participant-side response bias.	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.