Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Muundo wa Kikundi Nne cha Solomon wa Kuvuka× | Muundo wa Kikundi cha Solomon Nne× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1949 (base design); crossover adaptation developed through later methodological literature | 1949 |
| Mwanzilishi≠ | Richard L. Solomon (base design); crossover extension via repeated-measures methodology | Richard L. Solomon |
| Aina≠ | Experimental design (pretest-sensitization control + within-subjects crossover) | 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≠ | crossover S4G design, within-subjects Solomon design, repeated-measures Solomon four-group design | Solomon design, four-group design, Solomon four-group control design, S4GD |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | The Crossover Solomon Four-Group Design merges two powerful experimental strategies: the Solomon four-group design's control for pretest sensitization and the crossover design's within-subjects efficiency. Participants are randomly assigned to one of four groups that vary in whether they receive a pretest and in the sequence of treatment and control conditions, allowing the researcher to simultaneously estimate treatment effects, pretest effects, and their interaction while controlling for individual differences through repeated measurement. | 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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