Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Jaribio la Shambani× | Majaribio Yanayodhibitiwa kwa Vikundi Vilivyopangwa kwa Nasibu× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1920s–1930s (agriculture); 1990s–2000s (social sciences) | 1978–1980s |
| Mwanzilishi≠ | Formalized by R. A. Fisher (1935); systematized in social sciences by Harrison & List (2004) | Cornfield (1978); systematised by Donner and colleagues (1980s) |
| Aina | Experimental design | Experimental design |
| Chanzo asilia≠ | Harrison, G. W., & List, J. A. (2004). Field experiments. Journal of Economic Literature, 42(4), 1009–1055. DOI ↗ | Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340652978 |
| Majina mbadala | field trial, natural field experiment, randomized field experiment, field RCT | cluster RCT, group-randomized trial, community randomized trial, cluster-randomized experiment |
| Zinazohusiana≠ | 5 | 4 |
| Muhtasari≠ | A field experiment applies the logic of a randomized controlled trial in a naturally occurring, real-world environment rather than an artificial laboratory. Participants are randomly assigned to treatment and control conditions while going about everyday activities, allowing researchers to estimate causal effects with high internal validity while preserving a level of ecological realism that laboratory settings cannot offer. The design is especially prominent in economics, public health, political science, and development research. | A cluster randomized controlled trial (cluster RCT) is an experimental design in which intact social or organisational groups — such as schools, clinics, villages, or workplaces — are randomly assigned to treatment conditions rather than individual participants. Outcomes are still measured at the individual level, but the unit of randomization is the cluster. This design is essential when an intervention is delivered to whole groups, when there is a risk of contamination between participants in the same setting, or when individual randomization is logistically or ethically impractical. |
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