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Jednoslepe badanie czynnikowe×Ułamkowy eksperyment czynnikowy×
DziedzinaPlanowanie eksperymentówPlanowanie eksperymentów
RodzinaProcess / pipelineProcess / pipeline
Rok powstaniaFactorial design: 1926; single-blinding as systematic practice: mid-20th century1945 (Finney); broader development 1950s–1970s by Box, Hunter
TwórcaFisher, R. A. (factorial design); blinding practices formalized in clinical trials literature (20th century)D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
TypControlled experimental designQuantitative experimental design
Źródło pierwotneMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Inne nazwysingle-masked factorial trial, single-blind factorial design, SB factorial experimentfractional factorial design, FFD, 2^(k-p) design, fractional replication
Pokrewne54
PodsumowanieA single-blind factorial experiment combines factorial design — simultaneously varying two or more independent factors across all their level combinations — with single-blinding, in which participants are unaware of which treatment condition they have been assigned to while researchers and administrators remain unmasked. This design enables efficient estimation of main effects and interactions while reducing participant-side response bias.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.
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ScholarGatePorównaj metody: Single-blind Factorial Experiment · Fractional Factorial Experiment. Pobrano 2026-06-19 z https://scholargate.app/pl/compare