قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| تصميم سليمان التكيفي رباعي المجموعات× | التجربة العاملية× | |
|---|---|---|
| المجال | التصميم التجريبي | التصميم التجريبي |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1949 (base design); adaptive adaptation developed through later adaptive trial methodology | 1926–1935 |
| صاحب الطريقة≠ | Richard L. Solomon (base design); adaptive extension via response-adaptive randomization methodology | Ronald A. Fisher |
| النوع≠ | Experimental design (pretest-sensitization control + adaptive randomization) | Quantitative experimental design |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | 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 |
| ذات صلة | 6 | 6 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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