Krahasoni metodat

	Eksperiment fraksional faktorial me verbim të vetëm	Eksperiment i plotuar plotësisht
Fusha	Dizajni eksperimental	Dizajni eksperimental
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1940s–1950s (fractional factorial foundations); blinding conventions formalised through 1960s–1980s	1926 (Fisher's foundational paper); codified by the 1950s–1960s
Krijuesi	Fractional factorial theory: R. L. Plackett & J. P. Burman (1946); single-blinding practice codified in clinical trial methodology (20th century)	Ronald A. Fisher
Lloji	Controlled experimental design	Experimental design
Burimi themelues	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	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
Emërtime të tjera	single-masked fractional factorial, single-blind FFD, partially blinded fractional factorial, single-blind 2^(k-p) design	full factorial design, complete factorial design, 2^k factorial design, FFD
Të lidhura	5	6
Përmbledhja	A single-blind fractional factorial experiment studies multiple factors simultaneously by testing only a strategically chosen subset — a fraction — of all possible factor-level combinations, while keeping participants unaware of which treatment condition they receive. This design yields substantial information about main effects and selected interactions at a fraction of the cost of a full factorial experiment, with single-blinding reducing participant-side response bias.	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.