Mixed-dyadic data, collected from distinguishable (nonexchangeable) or indistinguishable (exchangeable) dyads, require statistical analysis techniques that model the variation within dyads and between dyads appropriately. The purpose of this article is to provide a tutorial for performing structural equation modeling analyses of cross-sectional…

Background: Although neurodevelopmental disorders are demarcated as discrete entities in the Diagnostic Statistical Manual of mental disorders, empirical evidence indicates that there is a high degree of overlap among them. The first aim of this investigation was to explore if a single general factor could account for the large degree of observed…

Background: Socioeconomic status is often assumed to be of importance for the development of antisocial behavior, yet it explains only a fraction of the variance. One explanation for this paradox could be that socioeconomic status moderates the influence of genetic and environmental effects on antisocial behavior. Method: TCHAD is a Swedish…