Confronta i metodi

	Esperimento Fattoriale Completo a Singolo Cieco	Esperimento Fattoriale Completo
Campo	Disegno sperimentale	Disegno sperimentale
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century	1926 (Fisher's foundational paper); codified by the 1950s–1960s
Ideatore	Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century	Ronald A. Fisher
Tipo	Controlled experimental design	Experimental design
Fonte seminale	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
Alias	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
Correlati	6	6
Sintesi	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.