Bayesian estimation of explained variance in ANOVA designs

Open Access
Authors
Publication date 08-2019
Journal Statistica Neerlandica
Volume | Issue number 73 | 3
Pages (from-to) 351-372
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
Abstract 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.
Document type Article
Language English
Published at https://doi.org/10.1111/stan.12173
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stan.12173 (Final published version)
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