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| Eksperyment wieloramiowy czynnikowy× | Eksperyment pełnoskładnikowy× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1926 (factorial basis); multi-arm factorial trials formalized 1980s–1990s | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| Twórca≠ | R. A. Fisher (factorial foundations); multi-arm extension established in clinical trial methodology | Ronald A. Fisher |
| Typ | Experimental design | Experimental design |
| Źródło pierwotne≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443 | 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 |
| Inne nazwy | multi-arm factorial trial, factorial multi-arm trial, multi-arm factorial experiment, MAFT | full factorial design, complete factorial design, 2^k factorial design, FFD |
| Pokrewne | 6 | 6 |
| Podsumowanie≠ | A factorial multi-arm experiment simultaneously tests multiple factors (each at two or more levels) by assigning participants to distinct arms that represent unique combinations of those factors. This design efficiently estimates the independent main effects of each factor and their interactions, all within a single study — making it far more informative than running separate one-factor experiments. | 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. |
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