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תחוםתכנון ניסוייםתכנון ניסויים
משפחהProcess / pipelineProcess / pipeline
שנת המקור1990s (formal methodology development)1926 (Fisher factorial foundations); 2000s–2010s (clinical factorial RCT formalization)
הוגה השיטהMurray, D. M.; Donner, A. and Klar, N. (systematic formalization)R. A. Fisher (factorial design foundations); adapted into clinical trials via MOST framework (Collins et al., 2014)
סוגExperimental designExperimental trial design
מקור מכונןDonner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. ISBN: 978-0340691533Collins, 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 ↗
כינוייםCRCT with control group, group-randomized trial, cluster RCT control group design, community randomized controlled trialFactorial RCT, factorial trial, multi-factor RCT, factorial experiment with randomization
קשורות66
תקצירA cluster randomized control group experimental design randomly assigns intact groups (clusters) — such as schools, clinics, or communities — rather than individuals to treatment or control conditions. At least one cluster group receives no active intervention, serving as the control. This design is essential when individual randomization is impractical or contamination between participants in close proximity is likely.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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ScholarGateהשוואת שיטות: Cluster Randomized Control Group Experimental Design · Factorial Randomized Controlled Trial. אוחזר בתאריך 2026-06-18 מתוך https://scholargate.app/he/compare