title: Bayesian Evaluation of inequality-constrained Hypotheses in SEM Models using Mplus.
abstract: Researchers in the behavioural and social sciences often have expectations that can be expressed in the form of inequality constraints among the parameters of a structural equation model resulting in an informative hypothesis. The question they would like an answer to is "Is the Hypothesis Correct" or "Is the hypothesis incorrect?". We demonstrate a Bayesian approach to compare an inequality-constrained hypothesis with its complement in an SEM framework. The method is introduced and its utility is illustrated by means of an example. Furthermore, the influence of the specification of the prior distribution is examined. Finally, it is shown how the approach proposed can be implemented using Mplus.
authors.affiliation: Department of Methods and Statistics, Utrecht University, The Netherlands Optentia research program, faculty of Humanities, North-West University, South Africa.
authors.forename: Rens
authors.initials: R
authors.lastname: van de Schoot
authors.affiliation: Department of Methods and Statistics, Utrecht University, The Netherlands.
authors.forename: Herbert
authors.initials: H
authors.lastname: Hoijtink
authors.affiliation: Department of Psychiatry, University of Pittsburgh, USA.
authors.forename: Michael N
authors.initials: MN
authors.lastname: Hallquist
authors.affiliation: Department of Child and Health Psychology, Utrecht University, The Netherlands.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Boelen
keywords: Bayes factor; Informative Hypothesis; Mplus; order restricted inference; structural equation modeling