手法を比較

	クラスターランダム化フラクショナル要因実験	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 / pipeline	Process / pipeline
提唱年	1950s (fractional factorial); 1980s-1990s (cluster-randomized extensions)	1945 (Finney); broader development 1950s–1970s by Box, Hunter
提唱者	Box, Hunter & Hunter (fractional factorial foundations); Murray & colleagues (group-randomized trial methodology)	D. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
種類	Experimental design (compound)	Quantitative experimental design
原典	Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley. ISBN: 978-0471718130	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
別名	CR-FFE, cluster-randomized fractional factorial design, group-randomized fractional factorial trial, CRFFD	fractional factorial design, FFD, 2^(k-p) design, fractional replication
関連	5	4
概要	A cluster-randomized fractional factorial experiment combines two design principles: randomization is applied to intact groups (clusters such as schools, clinics, or communities) rather than individuals, and only a carefully chosen fraction of all possible factor-level combinations is tested. This pairing makes it practical to screen or evaluate multiple intervention components simultaneously in settings where individual randomization is infeasible, while keeping the number of required clusters manageable.	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.