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Eksperimen Faktorial Fraksional Tunggal-Buta×Eksperimen Faktorial×
BidangDesain EksperimenDesain Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1940s–1950s (fractional factorial foundations); blinding conventions formalised through 1960s–1980s1926–1935
PencetusFractional factorial theory: R. L. Plackett & J. P. Burman (1946); single-blinding practice codified in clinical trial methodology (20th century)Ronald A. Fisher
TipeControlled experimental designQuantitative experimental design
Sumber perintisBox, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
Aliassingle-masked fractional factorial, single-blind FFD, partially blinded fractional factorial, single-blind 2^(k-p) designfactorial design, factorial ANOVA design, multi-factor experiment, crossed-factor design
Terkait56
RingkasanA 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 factorial experiment is an experimental design in which two or more independent variables (factors) are manipulated simultaneously, and every combination of their levels is tested. Introduced by Ronald Fisher in the 1920s–1930s, it is the standard approach whenever a researcher needs to detect not only the main effect of each factor but also whether the effect of one factor depends on the level of another — the interaction effect.
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ScholarGateBandingkan metode: Single-blind Fractional Factorial Experiment · Factorial Experiment. Diakses 2026-06-19 dari https://scholargate.app/id/compare