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| Eksperyment z pełną faktorializacją i jednostronnym zaślepieniem× | Ułamkowy eksperyment czynnikowy× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century | 1945 (Finney); broader development 1950s–1970s by Box, Hunter |
| Twórca≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work |
| Typ≠ | Controlled experimental design | Quantitative experimental design |
| Źródło pierwotne≠ | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 | 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 | single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design | fractional factorial design, FFD, 2^(k-p) design, fractional replication |
| Pokrewne≠ | 6 | 4 |
| Podsumowanie≠ | A single-blind full factorial experiment systematically tests every combination of all factor levels while keeping participants unaware of their treatment assignment. This design allows simultaneous estimation of all main effects and all interaction effects between factors, with single-blind masking reducing participant-side biases such as demand characteristics and expectation effects — without requiring investigator blinding. | A fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments. |
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