Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Diseño Pragmático de Solomon de Cuatro Grupos× | Ensayo controlado aleatorizado por conglomerados× | |
|---|---|---|
| Campo | Diseño experimental | Diseño experimental |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1949 (Solomon design); pragmatic variant in applied use from 1990s onward | 1978–1980s |
| Autor original≠ | Solomon four-group design: Richard L. Solomon (1949); pragmatic orientation formalized by Schwartz & Lellouch (1967) and Thorpe et al. (2009) | Cornfield (1978); systematised by Donner and colleagues (1980s) |
| Tipo≠ | Experimental design (pragmatic variant) | Experimental design |
| Fuente seminal≠ | Solomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗ | Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340652978 |
| Alias | pragmatic S4GD, real-world Solomon four-group design, pragmatic pretest-control design, pragmatic Solomon design | cluster RCT, group-randomized trial, community randomized trial, cluster-randomized experiment |
| Relacionados≠ | 5 | 4 |
| Resumen≠ | The Pragmatic Solomon Four-Group Design combines the pretest-sensitization control logic of the classic Solomon (1949) four-group structure with the broad eligibility, flexible delivery, and real-world conditions characteristic of pragmatic trials. Four groups are formed: two receive the intervention (one pretested, one not) and two serve as controls (one pretested, one not), allowing simultaneous estimation of treatment effects and pretest sensitization effects under ecologically valid settings. | A cluster randomized controlled trial (cluster RCT) is an experimental design in which intact social or organisational groups — such as schools, clinics, villages, or workplaces — are randomly assigned to treatment conditions rather than individual participants. Outcomes are still measured at the individual level, but the unit of randomization is the cluster. This design is essential when an intervention is delivered to whole groups, when there is a risk of contamination between participants in the same setting, or when individual randomization is logistically or ethically impractical. |
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