title: Bayes Factors Have Frequency Properties-This Should Not Be Ignored: A Rejoinder to Morey, Wagenmakers, and Rouder.
abstract: Hoijtink, van Kooten, and Hulsker ( 2016 ) outline a research agenda for Bayesian psychologists: evaluate and use the frequency properties of Bayes factors. Morey, Wagenmakers, and Rouder ( 2016 ) respond that Bayes factors calibrated using frequency properties should not be used. This paper contains the response of Hoijtink, van Kooten, and Hulsker to the criticism of Morey, Wagenmakers, and Rouder ( 2016 ).
authors.affiliation: a Department of Methods and Statistics , Utrecht University and CITO Institute for Educational Measurement.
authors.forename: Herbert
authors.initials: H
authors.lastname: Hoijtink
authors.affiliation: b Department of Methods and Statistics , Utrecht University.
authors.forename: Pascal
authors.initials: P
authors.lastname: van Kooten
authors.affiliation: b Department of Methods and Statistics , Utrecht University.
authors.forename: Koenraad
authors.initials: K
authors.lastname: Hulsker
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D009010:Monte Carlo Method; D011584:Psychology; D012107:Research Design
keywords: Bayes factor; calibrated Bayes; default prior distribution; frequency calculations; subjective prior distribution.