Сравнение методов

	Кластерный рандомизированный полнофакторный эксперимент	Полный факторный эксперимент
Область	Планирование эксперимента	Планирование эксперимента
Семейство	Process / pipeline	Process / pipeline
Год появления	Late 20th–early 21st century (formalized ~1998–2014)	1926 (Fisher's foundational paper); codified by the 1950s–1960s
Автор метода	Synthesis of cluster randomization (Murray, 1998) and factorial design traditions (Fisher, 1935; Collins et al., 2014)	Ronald A. Fisher
Тип	Experimental design	Experimental design
Основополагающий источник	Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120264	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Другие названия	cluster RCT full factorial, group-randomized full factorial design, CRT full factorial, cluster full factorial trial	full factorial design, complete factorial design, 2^k factorial design, FFD
Связанные	6	6
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 full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.