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Eksperimen Faktorial Tunggal-Buta×Eksperimen Faktorial Pecahan×
BidangDesain EksperimenDesain Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asalFactorial design: 1926; single-blinding as systematic practice: mid-20th century1945 (Finney); broader development 1950s–1970s by Box, Hunter
PencetusFisher, R. A. (factorial design); blinding practices formalized in clinical trials literature (20th century)D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
TipeControlled experimental designQuantitative experimental design
Sumber perintisMontgomery, 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
Aliassingle-masked factorial trial, single-blind factorial design, SB factorial experimentfractional factorial design, FFD, 2^(k-p) design, fractional replication
Terkait54
RingkasanA single-blind factorial experiment combines factorial design — simultaneously varying two or more independent factors across all their level combinations — with single-blinding, in which participants are unaware of which treatment condition they have been assigned to while researchers and administrators remain unmasked. This design enables efficient estimation of main effects and interactions while reducing participant-side response bias.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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ScholarGateBandingkan metode: Single-blind Factorial Experiment · Fractional Factorial Experiment. Diakses 2026-06-19 dari https://scholargate.app/id/compare