An introduction to Bayesian model selection for evaluating informative hypotheses
Most researchers have specific expectations concerning their research questions. These may be derived from theory, empirical evidence, or both. Yet despite these expectations, most investigators still use null hypothesis testing to evaluate their data, that is, when analysing their data they ignore the expectations they have.
1st authorship papers, Beyond Null Hypthesis Testing, Publications, Tutorials 0
Evaluating expectations about negative emotional states of aggressive boys using Bayesian model selection
Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys.