A Tutorial on Conducting and Interpreting a Bayesian Independent <i> T </i> ‐Test Using Open‐Source Software

Abstract

1. What does this paper contribute to the wider global clinical community? 1. ○ Increases awareness that Bayesian methods are increasingly emerging as a principled approach to data analysis based on probability axioms and the likelihood principle. 2. ○ Demonstrates a practical and feasible Bayesian inferential method for analysing two group comparison of means, enabling nursing and midwifery researchers to make probabilistic statistical inferences. 3. ○ Provides a hypothetical data set to support teaching and learning, enabling nurses and midwives to practice a Bayesian independent samples t-t