Bayes Factor Approaches for Testing Interval Null Hypotheses

摘要: Psychological theories are statements of constraint. The role hypothesis testing in psychology is to test whether specific theoretical constraints hold data. Bayesian statistics well suited the task finding supporting evidence for constraint, because it allows comparing 2 hypotheses against each another. One issue that may only approximately rather than exactly, and reason small deviations be trivial or uninteresting. In large-sample limit, these uninteresting, lead rejection a useful this article, we develop several Bayes factor 1-sample tests assessment approximate equality ordinal constraints. tests, null covers interval non-0 but negligible effect sizes around 0. These factors alternatives previously developed factors, which do not allow hypotheses, especially prove researchers who use statistical equivalence testing. To facilitate adoption provide easy-to-use software.