The key of experimental design is to balance between informativeness and efficiency.However,power anal-ysis only focuses on informativeness and is difficult to implement.Here,sequential Bayes factor analysis takes the advantage of Bayes factor's ability to con-tinuously update the evidence and reach a trade-off between informativeness and efficiency by setting Bayes factor criteria and the sequential analysis dur-ing data collection.The present primer demonstrates how to perform three steps of sequential Bayes factor analysis using the open-source software JASP and R.This method considers practical issues in real re-search practices and is easy to implement,which can help researchers to design more efficient experiments.
万方数据
维普
