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طرح آزمایشی گروه کنترل فاکتوریل×آزمایش تصادفی عاملی (Factorial Randomized Controlled Trial)×
حوزهطراحی آزمایشطراحی آزمایش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1926–19351926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
پدیدآورRonald A. FisherR. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
نوعExperimental designExperimental trial design
منبع بنیادینFisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗Collins, L. M., Dziak, J. J., Kugler, K. C., & Trail, J. B. (2014). Factorial experiments: Efficient tools for evaluation of intervention components. American Journal of Preventive Medicine, 47(4), 498–504. DOI ↗
نام‌های دیگرfactorial controlled experiment, factorial design with control, factorial RCT with control arm, multi-factor controlled experimentFactorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
مرتبط66
خلاصهA factorial control group experimental design crosses two or more independent variables (factors) in a fully factorial structure while including at least one condition that serves as a no-treatment or standard-treatment control. This allows researchers to simultaneously estimate the main effect of each factor, their interactions, and the size of those effects relative to a meaningful baseline, maximising both causal precision and experimental efficiency.A factorial randomized controlled trial (factorial RCT) is an experimental design in which participants are randomly assigned to every possible combination of two or more independent factors (treatments or intervention components) simultaneously. This allows researchers to estimate the main effect of each factor and their interactions within a single, efficient trial, rather than running separate experiments for each factor.
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ScholarGateمقایسهٔ روش‌ها: Factorial Control Group Experimental Design · Factorial Randomized Controlled Trial. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare