Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Односторонний экспериментальный дизайн с претестом и посттестом× | План Соломона для четырех групп× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1963 (systematic codification); blinding in use from early 20th century | 1949 |
| Автор метода≠ | Campbell & Stanley (codified); blinding practice has earlier roots in clinical research | Richard L. Solomon |
| Тип≠ | Controlled experimental design with partial blinding | True experimental design |
| Основополагающий источник≠ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ | Solomon, R. L. (1949). An extension of control group design. Psychological Bulletin, 46(2), 137–150. DOI ↗ |
| Другие названия | single-masked pretest-posttest design, participant-blind pretest-posttest, single-blind before-after design, SB-PP design | Solomon design, four-group design, Solomon four-group control design, S4GD |
| Связанные≠ | 6 | 5 |
| Сводка≠ | The single-blind pretest-posttest experimental design combines two protective strategies: measuring outcomes both before and after treatment to quantify change, and keeping participants unaware of which condition they are in. This pairing controls for preexisting group differences and expectancy-driven response bias, making it a practical middle ground between fully open-label and double-blind trials in behavioral and health research. | 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. |
| ScholarGateНабор данных ↗ |
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