Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models.

This article develops a class of models called sender/receiver finite mixture exponential random graph models (SRFM-ERGMs). This class of models extends the existing exponential random graph modeling framework to allow analysts to model unobserved heterogeneity in the effects of nodal covariates and network features without a block structure. An empirical example regarding substance use among adolescents is presented. Simulations across a variety of conditions are used to evaluate the performance of this technique. We conclude that unobserved heterogeneity in effects of nodal covariates can be a major cause of misfit in network models, and the SRFM-ERGM approach can alleviate this misfit. Implications for the analysis of social networks in psychological science are discussed.

An ecological approach to promoting early adolescent mental health and social adaptation: family-centered intervention in public middle schools.

This study examined the impact of the Family Check-Up (FCU) and linked intervention services on reducing health-risk behaviors and promoting social adaptation among middle school youth. A total of 593 students and their families were randomly assigned to receive either the intervention or middle school services as usual. Forty-two percent of intervention families engaged in the service and received the FCU. Using complier average causal effect analyses, engagement in the intervention moderated intervention outcomes. Families who engaged in the intervention had youth who reported lower rates of antisocial behavior and substance use over time than did a matched control sample. Results extend previous research indicating that a family-centered approach to supporting youth in the public school setting reduced the growth of antisocial behavior, alcohol use, tobacco use, and marijuana use throughout the middle school years.

Psychopathy in Iran: a cross-cultural study.

Few cross-cultural studies have assessed psychopathy and none have included a sample from non-western countries. This study investigated the factor structure of the Psychopathy Checklist: Screening Version (PCL:SV) in an Iranian sample, and compared the results with a western sample. Three hundred fifty-one Iranian prisoners were compared with 405 participants of the standardization sample of the PCL:SV. Confirmatory factor analysis and item response theory method were used for data analysis. The Iranian data fitted well with the hierarchical three-factor model of psychopathy and neither two- nor four-factor models showed an adequate fit. Differential item functioning existed across samples, with discriminatory power of factor 1 (arrogant and deceitful interpersonal style) being lower in the Iranian sample that for factor 2 (deficient emotional experience) being greater in the Iranian sample than the standardization sample. Deficient emotional experience might be the most significant factor in diagnosing psychopathy, regardless of the studied culture. Other factors appear to be relatively culture-specific.