Bayes factor approaches for testing interval null hypotheses.
University of Groningen · University of Missouri System · +1 more institution
Abstract
Psychological theories are statements of constraint. The role of hypothesis testing in psychology is to test whether specific theoretical constraints hold in data. Bayesian statistics is well suited to the task of finding supporting evidence for constraint, because it allows for comparing evidence for 2 hypotheses against each another. One issue in hypothesis testing is that constraints may hold only approximately rather than exactly, and the reason for small deviations may be trivial or uninteresting. In the large-sample limit, these uninteresting, small deviations lead to the rejection of a useful constraint. In this article, we develop several Bayes factor 1-sample tests for the assessment of approximate…
Citation impact
- FWCI
- 11.61
- Percentile
- 100%
- References
- 55
Authors
2Topics & keywords
- Bayes factor
- Statistical hypothesis testing
- Null hypothesis
- Bayes' theorem
- Econometrics
- Constraint (computer-aided design)
- Bayesian probability
- Alternative hypothesis