Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Muundo wa Solomon wa Vikundi Vinne Vilivyoboreshwa kwa Rundi× | Muundo wa Kikundi cha Solomon Nne× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1949 (Solomon design); cluster extension formalized in 1990s | 1949 |
| Mwanzilishi≠ | Richard L. Solomon (four-group logic, 1949); cluster randomization methods developed by Murray and colleagues in the 1990s | Richard L. Solomon |
| Aina≠ | Experimental design | True experimental design |
| Chanzo asilia | Solomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗ | Solomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗ |
| Majina mbadala | CR-S4GD, cluster-randomized four-group design, group-randomized Solomon design, Solomon four-group cluster trial | Solomon design, four-group design, Solomon four-group control design, S4GD |
| Zinazohusiana≠ | 6 | 5 |
| Muhtasari≠ | The cluster randomized Solomon four-group design combines cluster randomization — assigning intact groups such as schools, clinics, or communities to conditions — with the Solomon four-group structure that isolates the effect of pretesting. Four clusters (or sets of clusters) are created: two receive the treatment and two serve as controls, with only one treatment cluster and one control cluster receiving a pretest, while the others go straight to the posttest. This structure simultaneously controls for pretest sensitization and the logistical constraint that individual randomization is infeasible. | The Solomon Four-Group Design extends the classic pretest-posttest control-group design by adding two groups that receive no pretest, enabling researchers to detect whether the pretest itself alters participants' responses to the treatment. Introduced by Richard L. Solomon in 1949, it remains the gold standard for isolating the independent effect of a pretest and for obtaining unbiased estimates of treatment efficacy. |
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