Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Faktoriell eksperimentdesign med kontrollgruppe× | Full Factorial Experiment× | |
|---|---|---|
| Fagfelt | Forsøksdesign | Forsøksdesign |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1926–1935 | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| Opphavsperson | Ronald A. Fisher | Ronald A. Fisher |
| Type | Experimental design | Experimental design |
| Opprinnelig kilde≠ | Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗ | Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130 |
| Alias | factorial controlled experiment, factorial design with control, factorial RCT with control arm, multi-factor controlled experiment | full factorial design, complete factorial design, 2^k factorial design, FFD |
| Relaterte | 6 | 6 |
| Sammendrag≠ | 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. | A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome. |
| ScholarGateDatasett ↗ |
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