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Einfaches verblindetes vollständiges faktorielles Experiment×Bruchfaktor-Experiment×
FachgebietVersuchsplanungVersuchsplanung
FamilieProcess / pipelineProcess / pipeline
EntstehungsjahrFull factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century1945 (Finney); broader development 1950s–1970s by Box, Hunter
UrheberFull factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th centuryD. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
TypControlled experimental designQuantitative experimental design
Wegweisende QuelleMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Aliasnamensingle-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations designfractional factorial design, FFD, 2^(k-p) design, fractional replication
Verwandt64
ZusammenfassungA 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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ScholarGateMethoden vergleichen: Single-blind Full Factorial Experiment · Fractional Factorial Experiment. Abgerufen am 2026-06-19 von https://scholargate.app/de/compare