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Jednoslepe doświadczenie frakcyjne czynnikowe×Eksperyment czynnikowy×
DziedzinaPlanowanie eksperymentówPlanowanie eksperymentów
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1940s–1950s (fractional factorial foundations); blinding conventions formalised through 1960s–1980s1926–1935
TwórcaFractional factorial theory: R. L. Plackett & J. P. Burman (1946); single-blinding practice codified in clinical trial methodology (20th century)Ronald A. Fisher
TypControlled experimental designQuantitative experimental design
Źródło pierwotneBox, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Inne nazwysingle-masked fractional factorial, single-blind FFD, partially blinded fractional factorial, single-blind 2^(k-p) designfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Pokrewne56
PodsumowanieA 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.
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ScholarGatePorównaj metody: Single-blind Fractional Factorial Experiment · Factorial Experiment. Pobrano 2026-06-19 z https://scholargate.app/pl/compare