title: Illustrating bayesian evaluation of informative hypotheses for regression models.
abstract: 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.
authors.affiliation: Faculty of Social Sciences, Radboud University Nijmegen Nijmegen, Netherlands.
authors.forename: Anouck
authors.initials: A
authors.lastname: Kluytmans
authors.forename: Rens
authors.initials: R
authors.lastname: van de Schoot
authors.forename: Joris
authors.initials: J
authors.lastname: Mulder
authors.forename: Herbert
authors.initials: H
authors.lastname: Hoijtink