Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Experimento factorial aleatorizado por conglomerados× | Experimento factorial× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1990s (formalized in group-randomized trial literature) | 1926–1935 |
| Autor original≠ | David M. Murray and colleagues; Allan Donner & Neil Klar | Ronald A. Fisher |
| Tipo≠ | Experimental design | Quantitative experimental design |
| Fuente seminal≠ | 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. link ↗ |
| Alias | cluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experiment | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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