Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics

• DOI: 10.1007/s42113-021-00125-y
• Publication Date: 2022-03-04T17:29:28Z
• Authors: Shravan Vasishth; Himanshu Yadav; Daniel J. Schad; Bruno Nicenboim
• Keywords: Sample (material); Hierarchical database model

Abstract We discuss an important issue that is not directly related to the main theses of van Doorn et al. ( Computational Brain and Behavior , 2021) paper, but which frequently comes up when using Bayesian linear mixed models: how determine sample size in advance running a study planning Bayes factor analysis. adapt simulation-based method proposed by Wang Gelfand Statistical Science 193–208, 2002) for factor-based design analysis, demonstrate relatively complex hierarchical models can be used approximate sizes experiments.