Methoden vergleichen

	Crossover Full Factorial Experiment	Faktorielles Experiment
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	Mid-to-late 20th century (crossover trials formalised ~1960s–1980s; full factorial DoE from Fisher ~1935)	1926–1935
Urheber	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
Typ	Within-subject full factorial experimental design	Quantitative experimental design
Wegweisende Quelle	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.
Aliasnamen	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
Verwandt	6	6
Zusammenfassung	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.