Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Design Solomon Patru Grupuri Adaptiv× | Experiment factorial× | |
|---|---|---|
| Domeniu | Design experimental | Design experimental |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1949 (base design); adaptive adaptation developed through later adaptive trial methodology | 1926–1935 |
| Autorul original≠ | Richard L. Solomon (base design); adaptive extension via response-adaptive randomization methodology | Ronald A. Fisher |
| Tip≠ | Experimental design (pretest-sensitization control + adaptive randomization) | Quantitative experimental design |
| Sursa seminală≠ | Solomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Denumiri alternative | adaptive S4G design, response-adaptive Solomon design, sequential Solomon four-group design, adaptive pretest-sensitization design | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| Înrudite | 6 | 6 |
| Rezumat≠ | The Adaptive Solomon Four-Group Design combines the pretest-sensitization control of Solomon's classic four-group structure with response-adaptive randomization, allowing interim outcome data to update the allocation probabilities across the four groups as the study progresses. This hybrid preserves the design's ability to isolate the testing effect while improving ethical efficiency by steering more participants toward conditions performing better at interim checkpoints. | 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. |
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