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Crossover Fractional Factorial Experiment×Factorieel Experiment×
VakgebiedExperimenteel ontwerpExperimenteel ontwerp
FamilieProcess / pipelineProcess / pipeline
Jaar van ontstaan1950s–1970s (fractional factorial from 1940s; crossover integration from 1960s–1970s)1926–1935
GrondleggerBox, Hunter & Hunter (fractional factorial); Senn & Williams (crossover integration)Ronald A. Fisher
TypeWithin-subject multi-factor experimental designQuantitative experimental design
Oorspronkelijke bronSenn, 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 ↗
Aliassencrossover FF design, within-subject fractional factorial, repeated-measures fractional factorial, crossover FFEfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Verwant56
SamenvattingA 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.
ScholarGateGegevensset
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ScholarGateMethoden vergelijken: Crossover Fractional Factorial Experiment · Factorial Experiment. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare