Comparar métodos

	Experimento factorial completo aleatorizado por conglomerados	Experimento factorial completo bloqueado
Campo	Diseño experimental	Diseño experimental
Familia	Process / pipeline	Process / pipeline
Año de origen	Late 20th–early 21st century (formalized ~1998–2014)	1935 (Fisher); systematized through 20th-century DOE literature
Autor original	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
Tipo	Experimental design	Experimental design
Fuente seminal	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
Alias	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
Relacionados	6	4
Resumen	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.