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Ristikytkentäinen osafaktoriaalinen koeasetelma×Faktoriaalinen koe – Faktoriaalinen koesuunnittelu×
TieteenalaKoesuunnitteluKoesuunnittelu
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi1950s–1970s (fractional factorial from 1940s; crossover integration from 1960s–1970s)1926–1935
KehittäjäBox, Hunter & Hunter (fractional factorial); Senn & Williams (crossover integration)Ronald A. Fisher
TyyppiWithin-subject multi-factor experimental designQuantitative experimental design
AlkuperäislähdeSenn, S. (2002). Cross-over Trials in Clinical Research (2nd ed.). Wiley. ISBN: 978-0471496533Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Rinnakkaisnimetcrossover FF design, within-subject fractional factorial, repeated-measures fractional factorial, crossover FFEfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Liittyvät56
TiivistelmäA crossover fractional factorial experiment is a within-subject design in which each participant receives a strategically chosen subset of all possible factor-level combinations in a defined sequence, with washout periods between treatment periods. By combining the run-economy of fractional factorial designs with the within-subject efficiency of crossover designs, it allows estimation of main effects and selected interactions while controlling for between-subject variability using far fewer participants and experimental runs than a full factorial crossover.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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ScholarGateVertaile menetelmiä: Crossover Fractional Factorial Experiment · Factorial Experiment. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare