เปรียบเทียบวิธี

	การทดลองแฟรคทอเรียลแบบสองฝ่ายปิด	การทดลองแบบแฟกทอเรียลเต็มรูปแบบ
สาขาวิชา	การออกแบบการทดลอง	การออกแบบการทดลอง
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1960s onward (combination widely used in pharmaceutical and food science research)	1926 (Fisher's foundational paper); codified by the 1950s–1960s
ผู้ริเริ่ม	Fractional factorial: Box & Hunter (1961); double-blind convention: clinical trial methodology (mid-20th century)	Ronald A. Fisher
ประเภท	Controlled experimental design with blinding and factor-space reduction	Experimental design
แหล่งต้นตำรับ	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	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
ชื่อเรียกอื่น	double-blind FFE, blinded fractional factorial design, double-blind FFD, masked fractional factorial experiment	full factorial design, complete factorial design, 2^k factorial design, FFD
ที่เกี่ยวข้อง	3	6
สรุป	A double-blind fractional factorial experiment combines two powerful methodological protections: fractional factorial design, which tests a carefully chosen subset of all possible factor combinations to achieve efficiency, and double-blind administration, which prevents both participants and assessors from knowing which treatment combination has been applied. The result is an experiment that is both resource-efficient and protected against expectation and assessment bias.	A full factorial experiment runs every possible combination of all chosen factor levels, making it the gold standard for simultaneously estimating main effects, two-way interactions, and higher-order interactions among multiple independent variables. Introduced through Ronald Fisher's foundational work on factorial designs in the 1920s and systematised by Box, Hunter, and Montgomery, it provides complete information about how factors act individually and in combination on an outcome.