Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Jaribio kamili la vipengele vingi vilivyofichwa kwa upande mmoja× | Jaribio Kamili la Factorial× | |
|---|---|---|
| Nyanja | Muundo wa Majaribio | Muundo wa Majaribio |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century | 1926 (Fisher's foundational paper); codified by the 1950s–1960s |
| Mwanzilishi≠ | Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century | Ronald A. Fisher |
| Aina≠ | Controlled experimental design | Experimental design |
| Chanzo asilia≠ | 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 |
| Majina mbadala | single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design | full factorial design, complete factorial design, 2^k factorial design, FFD |
| Zinazohusiana | 6 | 6 |
| Muhtasari≠ | 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 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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