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二重盲検完全実施要因実験×実験計画法における分割実験×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward1945 (Finney); broader development 1950s–1970s by Box, Hunter
提唱者Full 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
種類Controlled experimental design with maskingQuantitative experimental design
原典Montgomery, 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
別名double-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
関連44
概要A 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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ScholarGate手法を比較: Double-blind Full Factorial Experiment · Fractional Factorial Experiment. 2026-06-19に以下より取得 https://scholargate.app/ja/compare