In general, it has been recommended (Brandt et al. 2014; Anderson and Maxwell 2016) that replicators should include different methods to evaluate the outcome of are plication study to account for the advantages,limitations,and varying statistical questions the different approaches present. This allows for a more nuanced interpretation of replication studies than a simple comparison of statistical significance. The Replication Bayes factor is hence presented as an addition to existing methods of analyzing the outcome of a replication study. The article aims to provide an accessible introduction in the setup of the ReplicationBayesfactors,but assumes a general understanding of Bayesian statistics—in particular with the general concepts of priors, marginal likelihoods, and Bayesian belief updating