قارن الطرق

	تجربة عاملية كاملة بعمى أحادي	التجربة العاملية الكاملة مزدوجة التعمية
المجال	التصميم التجريبي	التصميم التجريبي
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	Full factorial: 1935 (Fisher); single-blind clinical convention: mid-20th century	1935 (factorial foundations, Fisher); double-blind combined application from 1950s onward
صاحب الطريقة	Full factorial framework: R. A. Fisher; single-blind masking practice: clinical trial tradition, standardized by the 20th century	Full factorial design: Ronald A. Fisher; double-blind masking: formalized in clinical research mid-20th century
النوع	Controlled experimental design	Controlled experimental design with masking
المصدر التأسيسي	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443
الأسماء البديلة	single-masked full factorial, single-blind complete factorial, SB-FFE, single-blind all-combinations design	double-masked full factorial design, double-blind complete factorial experiment, blinded full factorial RCT, double-blind factorial trial
ذات صلة	6	4
الملخص	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 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.