Capitalising on covariates in cluster-randomised experiments
- Vanhove, Jan University of Fribourg
-
31.08.2020
Published in:
- PyArXiv. - 2020, p. 1-45
English
In cluster-randomised experiments, participants are randomly assigned to the conditions not on an individual basis but in entire groups. For instance, all pupils in a class are assigned to the same condition. This article reports on a series of simulations that were run to determine (1) how the clusters (e.g., classes) in such experiments should be assigned to the conditions if a relevant covariate is available at the outset of the study (e.g., a pretest) and (2) how the data the study produces should be analysed if researchers want to maximise their statistical power while retaining nominal Type-I error rates. The R code used for the simulation is freely accessible online, allowing researchers who need to plan and analyse a cluster- randomised experiment to tailor the simulation to the specifics of their study and determine which approach is likely to work best.
- Faculty
- Faculté des lettres et des sciences humaines
- Department
- Département de plurilinguisme et didactique des langues étrangères
- Language
-
- English
- Classification
- Language, linguistics
- License
- License undefined
- Identifiers
-
- RERO DOC 328934
- DOI 10.31234/osf.io/ef4zc
- Persistent URL
- https://folia.unifr.ch/unifr/documents/308755
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