Cluster Randomized Factorial Experiment
A 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.
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 978-0195120912
- Donner, A., & Klar, N. (2000). Design and Analysis of Cluster Randomization Trials in Health Research. Arnold. · ISBN 978-0340691533
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.