विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Blocked Solomon Four-Group Design× | फ़ैक्टोरियल प्रयोग× | |
|---|---|---|
| क्षेत्र | प्रयोगात्मक अभिकल्प | प्रयोगात्मक अभिकल्प |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1949 (base); blocking extension applied in behavioral and social sciences from mid-20th century onward | 1926–1935 |
| प्रवर्तक≠ | Richard L. Solomon (base design, 1949); blocking integrated from classical experimental design tradition (Fisher, 1935) | Ronald A. Fisher |
| प्रकार≠ | Experimental design | Quantitative experimental design |
| मौलिक स्रोत≠ | 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 ↗ |
| उपनाम≠ | Blocked S4G, randomized blocked Solomon design, Solomon four-group with blocking | factorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design |
| संबंधित | 6 | 6 |
| सारांश≠ | The blocked Solomon four-group design combines Solomon's classic four-group structure — which disentangles pretest sensitization effects from treatment effects — with blocking on a known nuisance variable. Participants are first grouped into homogeneous blocks (e.g., by baseline ability, gender, or site), then randomly assigned within each block to one of four conditions: pretested treatment, pretested control, unpretested treatment, and unpretested control. This structure simultaneously controls for maturation, pretest reactivity, and block-level variance, making it one of the strongest quasi-controlled experimental frameworks available. | 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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