Сравнение методов

	Кластерный рандомизированный факторный эксперимент	Факторный эксперимент
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	1990s (formalized in group-randomized trial literature)	1926–1935
Автор метода	David M. Murray and colleagues; Allan Donner & Neil Klar	Ronald A. Fisher
Тип	Experimental design	Quantitative experimental design
Основополагающий источник	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120912	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Другие названия	cluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experiment	factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Связанные	5	6
Сводка	A cluster randomized factorial experiment assigns intact groups (clusters such as schools, clinics, or communities) at random to all combinations of two or more treatment factors, enabling simultaneous evaluation of multiple interventions and their interactions while respecting the natural grouping of participants. It merges the logistical and ethical advantages of cluster randomization with the efficiency of factorial design.	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.