Confronta i metodi

	Esperimento Fattoriale Completo a Crossover	Esperimento Fattoriale
Campo	Disegno sperimentale	Disegno sperimentale
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	Mid-to-late 20th century (crossover trials formalised ~1960s–1980s; full factorial DoE from Fisher ~1935)	1926–1935
Ideatore	Developed within the design-of-experiments tradition (R. A. Fisher and successors); crossover adaptation formalised by B. Jones and M. G. Kenward	Ronald A. Fisher
Tipo	Within-subject full factorial experimental design	Quantitative experimental design
Fonte seminale	Jones, B., & Kenward, M. G. (2003). Design and Analysis of Cross-Over Trials (2nd ed.). Chapman and Hall/CRC. ISBN: 978-1584883429	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Alias	within-subject full factorial design, repeated-measures full factorial experiment, crossover factorial trial, full factorial crossover design	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Correlati	6	6
Sintesi	A crossover full factorial experiment combines the efficiency of a crossover (within-subject) design with the comprehensiveness of a full factorial design. Every participant receives all combinations of the factor levels across successive treatment periods, separated by washout intervals, allowing complete estimation of all main effects and interactions while using each participant as their own control.	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.