Comparer des méthodes

	Expérience factorielle complète simple aveugle	Expérience factorielle fractionnaire
Domaine	Plans d'expériences	Plans d'expériences
Famille	Process / pipeline	Process / pipeline
Année d'origine	Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century	1945 (Finney); broader development 1950s–1970s by Box, Hunter
Auteur d'origine	Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century	D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
Type	Controlled experimental design	Quantitative experimental design
Source fondatrice	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	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	single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design	fractional factorial design, FFD, 2^(k-p) design, fractional replication
Apparentées	6	4
Résumé	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 fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments.