Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Pilot Multi-Arm Experiment× | Pilotēts lauka eksperiments× | |
|---|---|---|
| Nozare | Eksperimentu plānošana | Eksperimentu plānošana |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1990s–2000s | Mid-20th century (systematised 1960s–1990s) |
| Autors≠ | Evolved from clinical trial methodology; consolidated in the 1990s–2000s | Rooted in Campbell & Stanley (1966) experimental design tradition; formalised in clinical and social research through the 20th century |
| Tips≠ | Experimental design (pilot/feasibility) | Experimental design |
| Pirmavots≠ | Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., Robson, R., Thabane, M., Giangregorio, L., & Goldsmith, C. H. (2010). A tutorial on pilot studies: The what, why and how. BMC Medical Research Methodology, 10(1), 1. DOI ↗ | Campbell, D. T., & Stanley, J. C. (1966). Experimental and quasi-experimental designs for research. Rand McNally. ISBN: 978-0395307878 |
| Citi nosaukumi | pilot multi-arm trial, feasibility multi-arm study, pilot parallel-arm experiment, preliminary multi-arm experiment | pilot field trial, small-scale field experiment, feasibility field experiment, exploratory field experiment |
| Saistītās≠ | 6 | 3 |
| Kopsavilkums≠ | A pilot multi-arm experiment is a small-scale preliminary trial that tests the feasibility, logistics, and parameter estimates needed to plan a full-scale multi-arm study. It simultaneously evaluates two or more active treatment arms alongside a control, providing early evidence on recruitment rates, retention, protocol adherence, variability, and likely effect sizes before committing to a resource-intensive definitive experiment. | A pilot field experiment is a small-scale, preliminary version of a planned full field experiment conducted in a naturalistic setting. It tests whether the intervention, randomisation procedure, measurement instruments, and logistical protocols are feasible before committing to a full-scale study. Results inform sample size calculations, refine treatment protocols, and identify procedural risks — saving resources and improving the quality of the definitive study. |
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