title: Imposing nonlinear constraints when estimating genetic and cultural transmission under assortative mating: a simulation study using Mx and BUGS.
abstract: Modeling both genetic and cultural transmission in parent-offspring data in the presence of phenotypic assortment requires the imposition of nonlinear constraints. This article reports a simulation study that determined how well the structural equation modeling software package Mx and the Bayesian-oriented BUGS software package can handle such nonlinear constraints under various conditions. Results generally showed good and comparable results for Mx and BUGS, although BUGS was much slower than Mx. However, since BUGS uses Markov-chain Monte Carlo estimation it could be used for parent-offspring models with non-normal data and/or item-response theory models.
authors.affiliation: Department of Research Methodology, Measurement and Data Analysis (OMD), Faculty of Behavioral Sciences, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands. stephanie.vandenberg@utwente.nl
authors.forename: Stéphanie M
authors.initials: SM
authors.lastname: van den Berg
mesh_terms: D000328:Adult; D001499:Bayes Theorem; D002648:Child; D003198:Computer Simulation; D003469:Culture; D004777:Environment; D005260:Female; D005824:Genetics, Behavioral; D005826:Genetics, Medical; D006801:Humans; D008297:Male; D008390:Markov Chains; D008957:Models, Genetic; D009010:Monte Carlo Method; D017711:Nonlinear Dynamics; D010290:Parents / Q000523:psychology; D010641:Phenotype; D002666:Psychology, Child