Rupa Jose

Multiple imputation for missing edge data: A predictive evaluation method with application to Add Health

Recent developments have made model-based imputation of network data feasible in principle, but the extant literature provides few practical examples of its use. In this paper we consider 14 schools from the widely used In-School Survey of Add Health (Harris et al., 2009), applying an ERGM-based estimation and simulation approach to impute the network missing data for each school. Add Healths complex study design leads to multiple types of missingness, and we introduce practical techniques for handing each. We also develop a cross-validation based method - Held-Out Predictive Evaluation (HOPE) - for assessing this approach. Our results suggest that ERGM-based imputation of edge variables is a viable approach to the analysis of complex studies such as Add Health, provided that care is used in understanding and accounting for the study design.

Research Note: The consequences of different methods for handling missing network data in Stochastic Actor Based Models.

Although stochastic actor based models (e.g., as implemented in the SIENA software program) are growing in popularity as a technique for estimating longitudinal network data, a relatively understudied issue is the consequence of missing network data for longitudinal analysis. We explore this issue in our research note by utilizing data from four schools in an existing dataset (the AddHealth dataset) over three time points, assessing the substantive consequences of using four different strategies for addressing missing network data. The results indicate that whereas some measures in such models are estimated relatively robustly regardless of the strategy chosen for addressing missing network data, some of the substantive conclusions will differ based on the missing data strategy chosen. These results have important implications for this burgeoning applied research area, implying that researchers should more carefully consider how they address missing data when estimating such models.

Simulating Dynamic Network Models and Adolescent Smoking: The Impact of Varying Peer Influence and Peer Selection.

We used a stochastic actor-based approach to examine the effect of peer influence and peer selection--the propensity to choose friends who are similar--on smoking among adolescents. Data were collected from 1994 to 1996 from 2 schools involved in the National Longitudinal Study of Adolescent to Adult Health, with respectively 2178 and 976 students, and different levels of smoking. Our experimental manipulations of the peer influence and selection parameters in a simulation strategy indicated that stronger peer influence decreased school-level smoking. In contrast to the assumption that a smoker may induce a nonsmoker to begin smoking, adherence to antismoking norms may result in an adolescent nonsmoker inducing a smoker to stop smoking and reduce school-level smoking.

Intimate Partner Violence Victims Seeking a Temporary Restraining Order Social Support and Resilience Attenuating Psychological Distress

Social support has been found in many studies to be a protective factor for those exposed to intimate partner violence (IPV), but personal resilience has received far less attention. The present study concerns 136 female IPV victims seeking a temporary restraining order (TRO) from a Family Justice Center (FJC). The relationships between IPV victimization, social support, resilience, and psychological distress were examined. Hierarchical regressions found that both perceived social support and self-reported resilience were inversely associated with distress symptoms. Higher social support was associated with lower trauma symptoms, controlling for abuse history, demographics, and resilience. Higher resilience was associated with lower mood symptoms and lower perceived stress, controlling for abuse history, demographics, and social support. No significant associations were recorded for anger symptoms. These findings suggest that fostering resilience can have important health benefits for IPV victims, above and beyond the well-known benefits of social support. Ways that resilience might be cultivated in this population and other implications for practice are discussed.

Network Structure, Influence, Selection, and Adolescent Delinquent Behavior Unpacking a Dynamic Process

This study uses National Longitudinal Study of Adolescent Health (Add Health) data to explore the co-evolution of friendship networks and delinquent behaviors. Using a stochastic actor–based (SAB) model, we simultaneously estimate the network structure, influence process, and selection process on adolescents in 12 small schools (N = 1,284) and 1 large school (N = 976) over three time periods. Our results indicate the presence of both selection and influence processes. Moderating effects were tested for density, centrality, and popularity, with only a weak interaction effect for density and influence in the small schools (p < .10). Contexts outside the school affected school networks: adolescents in the large school were particularly likely to form ties to others from equally disadvantaged neighborhoods, and adolescents in the small schools with more outside of school ties increased their delinquency over time. These findings support the importance of delinquency in peer selection and influence processes.

Community organizations and mental health after the 2013 Boston Marathon bombings

OBJECTIVE Disasters are place-based traumatic events, yet contemporary understandings of disaster recovery often do not consider the role of community organizations. We examine organization type and proximity as they relate to post-disaster mental health in a longitudinal study following the 2013 Boston Marathon bombings. METHOD Residents of metropolitan Boston (N = 846) were recruited via a probability-based sampling strategy within weeks of the bombings and were surveyed several times over a two-year period. Residents of metropolitan New York (N = 941) were recruited and surveyed at the same time and used for comparison due to similarities in community demographics, geography, and disaster histories. We identified six different organization types nearby resident: safety-based organizations, religious organizations, educational organizations, child- and family-promoting organizations, health-based organizations, and voluntary community organizations. With possible environmental detriments (crowds and noise) or benefits of organizations amplified in areas closest to the resident, the concentration of these local organization types was examined at different distance-based boundaries. Contextual data for both communities came from the U.S. Census, Google Places API, and Guidestar. RESULTS For Boston metropolitan area residents, having more safety-based organizations within a half-mile to one-mile area in the aftermath of the bombings was associated with poorer functioning six to seven months later and greater psychological distress two years later. However, the presence of more safety-based organizations in the one to three mile area was associated with decreased psychological distress two years later. More health-based and voluntary community organizations in the half-mile to one-mile area were also associated with fewer fears and worries about future adversity two years post-bombing. Exposure to the bombings and other community traumas moderated this relationship among Boston area participants. CONCLUSION Results suggest that local community organizations are not merely buildings or structures but ecological sources of support to those in need after a disaster.

Cascades of emotional support in friendship networks and adolescent smoking

Social support from peers and parents provides a key socialization function during adolescence. We examine adolescent friendship networks using a Stochastic Actor-Based modeling approach to observe the flow of emotional support provision to peers and the effect of support from parents, while simultaneously modeling smoking behavior. We utilized one school (n = 976) from The National Longitudinal Study of Adolescent to Adult Health (AddHealth) Study. Our findings suggest that emotional support is transacted through an interdependent contextual system, comprised of both peer and parental effects, with the latter also having distal indirect effects from youths’ friends’ parents.

The importance of the neighborhood in the 2014 Ebola outbreak in the United States: Distress, worry, and functioning.

Objective: Ebola media coverage directed public attention to potential disease carriers: residents or travelers from West Africa. We investigated the role of neighborhood population factors (i.e., the concentration of West African foreigners, non–West African foreigners, non-Hispanic Blacks) on individual responses to the Ebola outbreak in the United States. The role of these community-level factors in emotional responses to this public health crisis is poorly understood. Method: Demographic factors, mental health, and stressful event history, collected as part of an ongoing longitudinal study of residents from 2 metropolitan communities (New York City and Boston, total N = 1,346), were combined with neighborhood data from the U.S. Census. Multilevel models estimated the effects of individual and neighborhood factors on individual psychological distress, functional impairment, and Ebola-related worry. Results: Individuals living in neighborhoods with more West African–born foreigners or non–West African foreigners reported more somatization and anxiety symptoms, functioning difficulties, and/or Ebola-related worry than individuals living in neighborhoods with fewer foreign residents (p < .05). Individuals residing in neighborhoods with more non-Hispanic Blacks also reported more somatization symptoms than their residential counterparts (p < .05). Conclusion: Neighborhood demography is important to study during a public health outbreak like Ebola in which media and policy target specific people or regions. Findings suggest research and policies should not only assist at-risk individuals but also at-risk neighborhoods during and after an infectious disease crisis.