Dossier de preuve de méthode

Cluster Randomized Full Factorial Experiment

A cluster-randomized full factorial experiment assigns intact groups (clusters) rather than individuals to every possible combination of two or more experimental factors. All factor-level combinations are tested simultaneously, enabling estimation of both main effects and all interaction effects, while preserving the integrity of naturally occurring social or organizational units such as schools, clinics, or communities.

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Cluster-Randomized Full Factorial Experimental Design

Dossier de méthode taxonomique · process-pipeline / experimental-design

Murray, D. M. (1998). Design and Analysis of Group-Randomized Trials. Oxford University Press. · ISBN 978-0195120264
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 10.1016/j.amepre.2014.06.021

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Méthodes apparentées

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Taxonomic bucketBlocked Full Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCluster Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFactorial Randomized Controlled Trialmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFractional Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFull Factorial Experimentmachine-suggested · Relational suggestion, not evidence.Same method familyMultilevel Modelingmachine-suggested · Relational suggestion, not evidence.