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Eksperimen Faktorial Penuh Double-Blind×Eksperimen Faktorial Pecahan×
BidangDesain EksperimenDesain Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward1945 (Finney); broader development 1950s–1970s by Box, Hunter
PencetusFull factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th centuryD. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
TipeControlled experimental design with maskingQuantitative experimental design
Sumber perintisMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Aliasdouble-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trialfractional factorial design, FFD, 2^(k-p) design, fractional replication
Terkait44
RingkasanA double-blind full factorial experiment crosses every level of every independent variable to create all possible treatment combinations, while ensuring that neither participants nor outcome assessors know which condition each participant has been assigned to. This design simultaneously achieves comprehensive examination of main effects and all interactions, and protection against performance and detection bias through blinding — making it especially valuable in clinical, pharmacological, and behavioral research.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: Double-blind Full Factorial Experiment · Fractional Factorial Experiment. Diakses 2026-06-19 dari https://scholargate.app/id/compare