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군집 무작위 요인 설계 실험×요인 무작위 대조 시험 (Factorial Randomized Controlled Trial)×
분야실험설계실험설계
계열Process / pipelineProcess / pipeline
기원 연도1990s (formalized in group-randomized trial literature)1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
창시자David M. Murray and colleagues; Allan Donner & Neil KlarR. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
유형Experimental designExperimental trial design
원전Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120912Collins, 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 ↗
별칭cluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experimentFactorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
관련56
요약A cluster randomized factorial experiment assigns intact groups (clusters such as schools, clinics, or communities) at random to all combinations of two or more treatment factors, enabling simultaneous evaluation of multiple interventions and their interactions while respecting the natural grouping of participants. It merges the logistical and ethical advantages of cluster randomization with the efficiency of factorial design.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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ScholarGate방법 비교: Cluster Randomized Factorial Experiment · Factorial Randomized Controlled Trial. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare