Kluytmans A., van de Schoot R., Mulder J., Hoijtink H.
Faculty of Social Sciences, Radboud University Nijmegen, Nijmegen, Netherlands; Department of Methods and Statistics, Utrecht University, Utrecht, Netherlands; Optentia Research Program, Faculty of Humanities, North-West University, Vanderbijlpark, South Africa; Department of Methodology and Statistics, Tilburg University, Tilburg, Netherlands
Kluytmans, A., Faculty of Social Sciences, Radboud University Nijmegen, Nijmegen, Netherlands; van de Schoot, R., Department of Methods and Statistics, Utrecht University, Utrecht, Netherlands, Optentia Research Program, Faculty of Humanities, North-West University, Vanderbijlpark, South Africa; Mulder, J., Department of Methodology and Statistics, Tilburg University, Tilburg, Netherlands; Hoijtink, H., Department of Methods and Statistics, Utrecht University, Utrecht, Netherlands
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. © 2012 Kluytmans, Van de Schoot, Mulder and Hoijtink.
