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Cluster Randomized Factorial Experiment×Experimentální návrh zlomkového faktoriálu×
OborPlánování experimentůPlánování experimentů
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1990s (formalized in group-randomized trial literature)1945 (Finney); broader development 1950s–1970s by Box, Hunter
TvůrceDavid M. Murray and colleagues; Allan Donner & Neil KlarD. J. Finney (formal development); foundations in Ronald Fisher's factorial design work
TypExperimental designQuantitative experimental design
Původní zdrojMurray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. ISBN: 978-0195120912Box, G. E. P., Hunter, J. S., & Hunter, W. G. (2005). Statistics for Experimenters: Design, Innovation, and Discovery (2nd ed.). Wiley-Interscience. ISBN: 978-0471718130
Další názvycluster-randomized factorial design, group-randomized factorial trial, CRT factorial, clustered factorial experimentfractional factorial design, FFD, 2^(k-p) design, fractional replication
Příbuzné54
ShrnutíA 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 fractional factorial experiment is a resource-efficient experimental design that tests only a carefully chosen fraction of all possible factor-level combinations. By exploiting the principle that high-order interactions are usually negligible, it identifies the main effects and low-order interactions of k factors using far fewer runs than a full factorial design — making it the workhorse of industrial and engineering screening experiments.
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ScholarGatePorovnat metody: Cluster Randomized Factorial Experiment · Fractional Factorial Experiment. Získáno 2026-06-18 z https://scholargate.app/cs/compare