Bayesian estimation of explained variance in ANOVA designs

摘要

We propose to use the squared multiple correlation coefficient as an effect size measure for experimental analysis-of-variance designs and to use Bayesian methods to estimate its posterior distribution. We provide the expressions for the squared multiple, semipartial, and partial correlation coefficients corresponding to four commonly used analysis-of-variance designs and illustrate our contribution with two worked examples.