Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Design experimental factorial cu grup de control× | Studiu controlat randomizat factorial× | |
|---|---|---|
| Domeniu | Design experimental | Design experimental |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1926–1935 | 1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization) |
| Autorul original≠ | Ronald A. Fisher | R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014) |
| Tip≠ | Experimental design | Experimental trial design |
| Sursa seminală≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014). Factorial experiments: Efficient tools for evaluation of intervention components. American Journal of Preventive Medicine, 47(4), 498–504. DOI ↗ |
| Denumiri alternative | factorial controlled experiment, factorial design with control, factorial RCT with control arm, multi-factor controlled experiment | Factorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization |
| Înrudite | 6 | 6 |
| Rezumat≠ | A factorial control group experimental design crosses two or more independent variables (factors) in a fully factorial structure while including at least one condition that serves as a no-treatment or standard-treatment control. This allows researchers to simultaneously estimate the main effect of each factor, their interactions, and the size of those effects relative to a meaningful baseline, maximising both causal precision and experimental efficiency. | A factorial randomized controlled trial (factorial RCT) is an experimental design in which participants are randomly assigned to every possible combination of two or more independent factors (treatments or intervention components) simultaneously. This allows researchers to estimate the main effect of each factor and their interactions within a single, efficient trial, rather than running separate experiments for each factor. |
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