Methoden vergelijken

	Crossover Factorial Experiment	Factorieel Experiment
Vakgebied	Experimenteel ontwerp	Experimenteel ontwerp
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	1920s–1960s (synthesis of factorial and crossover traditions)	1926–1935
Grondlegger	R. A. Fisher (factorial principles, 1920s); crossover integration developed in biostatistics through mid-20th century	Ronald A. Fisher
Type	Experimental design	Quantitative experimental design
Oorspronkelijke bron	Jones, B., & Kenward, M. G. (2014). Design and Analysis of Cross-Over Trials (3rd ed.). Chapman and Hall/CRC. ISBN: 978-1439861424	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Aliassen	within-subject factorial design, repeated-measures factorial experiment, factorial crossover trial, crossover factorial trial	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Verwant	5	6
Samenvatting	A crossover factorial experiment combines two powerful design principles: factorial structure, which studies multiple factors and their interactions simultaneously, and crossover structure, in which each participant receives more than one treatment combination across sequential periods. By serving as their own control, participants reduce between-subject variability, improving statistical power while also revealing how different factor levels interact within the same individual.	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.