Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Eksperiment i rastësishëm laboratorik i klasterizuar× | Eksperiment i Bllokuar në Laborator× | |
|---|---|---|
| Fusha | Dizajni eksperimental | Dizajni eksperimental |
| Familja | Process / pipeline | Process / pipeline |
| Viti i origjinës≠ | 1990s (formalized; cluster randomization principles developed in 1970s-1980s) | 1926–1935 |
| Krijuesi≠ | David M. Murray (group-randomized trial methodology); built on classical cluster sampling in experimental design | Ronald A. Fisher |
| Lloji≠ | Controlled laboratory experiment with cluster-level randomization | Controlled experimental design with blocking |
| Burimi themelues≠ | Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120363 | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ |
| Emërtime të tjera | cluster-randomized lab experiment, group-randomized laboratory study, cluster RCT laboratory variant, clustered lab trial | blocked lab experiment, laboratory randomized block design, RBD laboratory study, blocked within-lab experiment |
| Të lidhura≠ | 6 | 5 |
| Përmbledhja≠ | A cluster randomized laboratory experiment assigns intact groups — such as lab sections, cohorts, or naturally formed teams — rather than individual participants, to experimental conditions. All participants within a cluster receive the same treatment. The design is used when individual randomization would cause contamination between conditions, while retaining the controlled environment of a laboratory setting. | A blocked laboratory experiment is a controlled laboratory study in which experimental units are grouped into homogeneous blocks before treatment assignment, and treatments are then randomly assigned within each block. Blocking removes the influence of a known nuisance variable — such as participant batch, equipment run, or testing day — from the error term, increasing the precision of treatment comparisons without expanding sample size. |
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