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Expérience factorielle complète en double aveugle×Expérience factorielle complète en blocs×
DomainePlans d'expériencesPlans d'expériences
FamilleProcess / pipelineProcess / pipeline
Année d'origine1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward1935 (Fisher); systematized through 20th-century DOE literature
Auteur d'origineFull factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th centuryR. A. Fisher (blocking principle); full factorial DOE tradition
TypeControlled experimental design with maskingExperimental design
Source fondatriceMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Aliasdouble-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trialblocked full factorial design, full factorial with blocking, complete factorial blocked design, BFF design
Apparentées44
RésuméA double-blind full factorial experiment crosses every level of every independent variable to create all possible treatment combinations, while ensuring that neither participants nor outcome assessors know which condition each participant has been assigned to. This design simultaneously achieves comprehensive examination of main effects and all interactions, and protection against performance and detection bias through blinding — making it especially valuable in clinical, pharmacological, and behavioral research.A blocked full factorial experiment tests every combination of all factor levels while grouping experimental runs into homogeneous blocks to isolate a known nuisance variable. This design preserves the power to detect all main effects and interactions of the factors of interest while preventing batch-to-batch, day-to-day, or machine-to-machine variability from inflating experimental error.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Double-blind Full Factorial Experiment · Blocked Full Factorial Experiment. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare