방법 비교

	단일 눈가림 완전 요인 설계 실험	일부 요인 실험
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century	1945 (Finney); broader development 1950s–1970s by Box, Hunter
창시자	Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century	D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
유형	Controlled experimental design	Quantitative experimental design
원전	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	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
별칭	single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design	fractional factorial design, FFD, 2^(k-p) design, fractional replication
관련	6	4
요약	A single-blind full factorial experiment systematically tests every combination of all factor levels while keeping participants unaware of their treatment assignment. This design allows simultaneous estimation of all main effects and all interaction effects between factors, with single-blind masking reducing participant-side biases such as demand characteristics and expectation effects — without requiring investigator blinding.	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.