Comparer des méthodes

	Expérience factorielle complète simple aveugle	Expérience factorielle complète
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	1926 (Fisher's foundational paper); codified by the 1950s–1960s
Auteur d'origine	Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century	Ronald A. Fisher
Type	Controlled experimental design	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	full factorial design, complete factorial design, 2^k factorial design, FFD
Apparentées	6	6
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 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.