Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Muundo wa Kijaribio wa Kundi la Udhibiti wa Kiwango× | Muundo wa Kimsingi wa Kundi Dhibiti la Majaribio× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1926–1935 | 1935 (Fisher); 1963 (Campbell & Stanley codification) |
| Mwanzilishi≠ | Ronald A. Fisher | Ronald A. Fisher; systematised by Donald T. Campbell & Julian C. Stanley |
| Aina≠ | Experimental design | Experimental research design |
| Chanzo asilia≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | Campbell, D. T., & Stanley, J. C. (1963). Experimental and Quasi-Experimental Designs for Research. Rand McNally. link ↗ |
| Majina mbadala | factorial controlled experiment, factorial design with control, factorial RCT with control arm, multi-factor controlled experiment | controlled experiment, true experimental design, randomized controlled design, treatment-control design |
| Zinazohusiana≠ | 6 | 4 |
| Muhtasari≠ | A factorial control group experimental design crosses two or more independent variables (factors) in a fully factorial structure while including at least one condition that serves as a no-treatment or standard-treatment control. This allows researchers to simultaneously estimate the main effect of each factor, their interactions, and the size of those effects relative to a meaningful baseline, maximising both causal precision and experimental efficiency. | 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. |
| ScholarGateSeti ya data ↗ |
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