Van de Schoot, R., Hoijtink, H., Hallquist, M. N., & Boelen, P. A. (in press). Bayesian Evaluation of inequality-constrained Hypotheses in SEM Models using Mplus. Structural Equation Modeling.


Researchers in the behavioural and social sciences often have expectations that can be expressed in the form of inequality constraints among the param- eters 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 com- pare 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 inuence of the speci_cation of the prior distribution is examined. Finally, it is shown how the approach proposed can be implemented using Mplus.