Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Экспериментальный дизайн с кластерной рандомизацией и контрольной группой× | Экспериментальный дизайн с контрольной группой× | |
|---|---|---|
| Область | Планирование эксперимента | Планирование эксперимента |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s (formal methodology development) | 1935 (Fisher); 1963 (Campbell & Stanley codification) |
| Автор метода≠ | Murray, D. M.; Donner, A. and Klar, N. (systematic formalization) | Ronald A. Fisher; systematised by Donald T. Campbell & Julian C. Stanley |
| Тип≠ | Experimental design | Experimental research design |
| Основополагающий источник≠ | Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340691533 | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Другие названия | CRCT with control group, group-randomized trial, cluster RCT control group design, community randomized controlled trial | controlled experiment, true experimental design, randomized controlled design, treatment-control design |
| Связанные≠ | 6 | 4 |
| Сводка≠ | A cluster randomized control group experimental design randomly assigns intact groups (clusters) — such as schools, clinics, or communities — rather than individuals to treatment or control conditions. At least one cluster group receives no active intervention, serving as the control. This design is essential when individual randomization is impractical or contamination between participants in close proximity is likely. | Control group experimental design is a fundamental experimental structure in which participants are assigned to at least two groups — a treatment group that receives the intervention and a control group that does not — so that the effect of the intervention can be isolated by comparing outcomes across groups. Randomisation of assignment strengthens causal inference by balancing known and unknown confounders. |
| ScholarGateНабор данных ↗ |
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