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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- 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
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.