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A Monte Carlo evaluation of different model fit indices for analysis of multi-rater twin data
Department of Psychology, University of Southern California, Los Angeles, California, USA.
Department of Psychology, University of Southern California, Los Angeles, California, USA.ORCID iD: 0000-0001-8768-6954
Departments of Criminology, Psychiatry, and Psy- chology, University of Pennsylvania, Philadelphia, PA, USA.
Department of Psychology, University of Southern California, Los Angeles, California, USA.
2009 (English)In: Behavior Genetics, ISSN 0001-8244, Vol. 39, no 6, 695-695 p.Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

This study examined the performance of different model fit indices in multivariate multi-rater twin research. A Monte Carlo simulation design was used to generate six competing multi-trait multi-rater genetic models. Three commonly used model fit indices, including Akaike’s Information Criterion (AIC), Bayesian Information Criterion (BIC), and Root Mean Square Error of Approximation (RMSEA), were compared in terms of power and type I error in selecting the best fitting model under different true factor model conditions. Results showed that no model fit index is perfect in measuring model fit. BIC generally performs best when differentiating simple one-, two-, and three-factor models. However, AIC has the lowest error rate in distinguishing hierarchical factor models against simple confirmatory factor models. Thus both AIC and BIC have to be considered in practical research. The utility of the Monte Carlo simulation was demonstrated through the analysis of Reactive Proactive Aggression Questionnaire (RPQ)(Raine, 1997) and Child Behavior Checklist (CBCL) data in a sample collected from the USC Twin Study of Risk Factors for Antisocial Behavior (Baker et al., 2006). All analyses were conducted in the Mplus software. (Baker, L. A., Barton, M., Lozano, D. I., Raine, A. & Fowler, J. H., 2006, The Southern California Twin Register at the University of Southern California: II. Twin Research and Human Genetics, 9, 933–40; Raine A, Dodge K, Loeber R, Gatzke-Kopp L, Lynam D, Reynolds C, et al., 2006, The Reactive–Proactive Aggression Questionnaire: Differential correlates of reactive and proactive aggression in adolescent boys. Aggressive Behavior, 32, 159–171.)

Place, publisher, year, edition, pages
2009. Vol. 39, no 6, 695-695 p.
National Category
Psychology
Research subject
Psychology
Identifiers
URN: urn:nbn:se:oru:diva-43905DOI: 10.1007/s10519-009-9307-7ISI: 000272027300184OAI: oai:DiVA.org:oru-43905DiVA: diva2:798827
Conference
39th Annual Meeting of the Behavior-Genetics-Association, Mineapolis, MN, USA, June 17-20, 2009,
Available from: 2015-03-27 Created: 2015-03-27 Last updated: 2015-04-13Bibliographically approved

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Citation style
  • apa
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