So sánh phương pháp

	Thí nghiệm phân tích toàn bộ hai mù	Thí nghiệm Phân thừa số
Lĩnh vực	Thiết kế thí nghiệm	Thiết kế thí nghiệm
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward	1945 (Finney); broader development 1950s–1970s by Box, Hunter
Người khởi xướng	Full factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th century	D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
Loại	Controlled experimental design with masking	Quantitative experimental design
Công trình gốc	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Tên gọi khác	double-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trial	fractional factorial design, FFD, 2^(k-p) design, fractional replication
Liên quan	4	4
Tóm tắt	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.