wbCorr: Bivariate Within- and Between-Cluster Correlations
Separates supplied variables into within- and
between-cluster components and calculates bivariate correlations for
each level separately. The centered-score decomposition corresponds
to commonly used between- and within-cluster correlations discussed
by Tu et al. (2025) <doi:10.1002/sim.10326>. The package is also
motivated by the distinction between within- and between-person
variation described by Curran and Bauer (2011)
<doi:10.1146/annurev.psych.093008.100356> and by Hamaker (2024)
<doi:10.1080/00273171.2022.2155930>.
The package is intended for longitudinal or otherwise clustered data
where researchers need transparent correlation matrices before fitting
more complex multilevel models.
[aut,
cre, cph]