Illustrating bayesian evaluation of informative hypotheses for regression models.
SourceFrontiers in Psychology, 3, (2012), article 2
Article / Letter to editor
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Primary and Community Care
Frontiers in Psychology
SubjectNCEBP 3: Implementation Science; NCEBP 7: Effective primary care and public health
In the present article we illustrate a Bayesian method of evaluating informative hypotheses for regression models. Our main aim is to make this method accessible to psychological researchers without a mathematical or Bayesian background. The use of informative hypotheses is illustrated using two datasets from psychological research. In addition, we analyze generated datasets with manipulated differences in effect size to investigate how Bayesian hypothesis evaluation performs when the magnitude of an effect changes. After reading this article the reader is able to evaluate his or her own informative hypotheses.
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