Сравнение методов

	Кластерный рандомизированный полнофакторный эксперимент	Блокированный полный факторный эксперимент
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	Late 20th–early 21st century (formalized ~1998–2014)	1935 (Fisher); systematized through 20th-century DOE literature
Автор метода	Synthesis of cluster randomization (Murray, 1998) and factorial design traditions (Fisher, 1935; Collins et al., 2014)	R. A. Fisher (blocking principle); full factorial DOE tradition
Тип	Experimental design	Experimental design
Основополагающий источник	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120264	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Другие названия	cluster RCT full factorial, group-randomized full factorial design, CRT full factorial, cluster full factorial trial	blocked full factorial design, full factorial with blocking, complete factorial blocked design, BFF design
Связанные	6	4
Сводка	A cluster-randomized full factorial experiment assigns intact groups (clusters) rather than individuals to every possible combination of two or more experimental factors. All factor-level combinations are tested simultaneously, enabling estimation of both main effects and all interaction effects, while preserving the integrity of naturally occurring social or organizational units such as schools, clinics, or communities.	A blocked full factorial experiment tests every combination of all factor levels while grouping experimental runs into homogeneous blocks to isolate a known nuisance variable. This design preserves the power to detect all main effects and interactions of the factors of interest while preventing batch-to-batch, day-to-day, or machine-to-machine variability from inflating experimental error.