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Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Dvoukrokové plně faktoriální experiment×Úplný faktoriálový experiment×
OborPlánování experimentůPlánování experimentů
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward1926 (Fisher's foundational paper); codified by the 1950s–1960s
TvůrceFull factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th centuryRonald A. Fisher
TypControlled experimental design with maskingExperimental design
Původní zdrojMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Další názvydouble-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trialfull factorial design, complete factorial design, 2^k factorial design, FFD
Příbuzné46
ShrnutíA 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 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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ScholarGatePorovnat metody: Double-blind Full Factorial Experiment · Full Factorial Experiment. Získáno 2026-06-19 z https://scholargate.app/cs/compare