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Eksperyment z pełną faktorializacją i jednostronnym zaślepieniem×Zablokowany pełny eksperyment czynnikowy×
DziedzinaPlanowanie eksperymentówPlanowanie eksperymentów
RodzinaProcess / pipelineProcess / pipeline
Rok powstaniaFull factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century1935 (Fisher); systematized through 20th-century DOE literature
TwórcaFull factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th centuryR. A. Fisher (blocking principle); full factorial DOE tradition
TypControlled experimental designExperimental design
Źródło pierwotneMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478
Inne nazwysingle-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations designblocked full factorial design, full factorial with blocking, complete factorial blocked design, BFF design
Pokrewne64
PodsumowanieA 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 blocked full factorial experiment tests every combination of all factor levels while grouping experimental runs into homogeneous blocks to isolate a known nuisance variable. This design preserves the power to detect all main effects and interactions of the factors of interest while preventing batch-to-batch, day-to-day, or machine-to-machine variability from inflating experimental error.
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  1. v1
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  3. PUBLISHED

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ScholarGatePorównaj metody: Single-blind Full Factorial Experiment · Blocked Full Factorial Experiment. Pobrano 2026-06-19 z https://scholargate.app/pl/compare