Cultural and Transnational Influences on the Use of Information Communication Technologies in Adult Long-Distance Family Relationships: An Extension of Media Multiplexity Theory

Geographically dispersed family members utilize frequent and diverse modes of communication to maintain their relationships. In transnational families separated by national boarders, family members may face constraints on channel selection due to cultural and/or structural factors. We draw from media multiplexity theory (MMT) and the cultural dimensions model to examine how transnationalism, societal individualism-collectivism (I-C), family allocentrism, and relational closeness influence the use of information communication technologies (ICTs) to maintain long-distance family relationships (LDFRs). Whereas results of the analysis provide cross-cultural support for MMT’s predictions regarding closeness and ICT frequency, the analysis reveals little support for MMT’s predictions regarding closeness and ICT variety. This study extends MMT by including culture in the study of relational closeness and ICT use, highlights the importance of family allocentrism when applying MMT to LDFRs, and demonstrates how transnational families can have frequent communication to maintain close, long-distance ties despite limited channel variety. Keywords: Culture, Immigrants, Information Communication Technologies, Long Distance Families, Relational ClosenessThis work was supported by the Humanities Center Faculty Fellowship program at Wayne State University.     

How does discharge status impact suicide risk in military veterans?

Little is known about over 125,000 veterans who received non-honorable military discharges since 2001, even though these veterans face substantial barriers to obtaining services and are likely to be at high risk for negative mental and behavioral health outcomes including suicide. Seven-hundred twenty-two veterans living the in the San Francisco Bay Area participated in the study. The sample comprised honorably discharged (n = 508) and non-honorably discharged veterans (n = 214). T-tests were used to compare means on predictors of suicide risk including Posttraumatic Stress Disorder (PTSD), depression, alcohol use, somatic symptoms, and physical disability. A series of regression models tested relationships between predictors, discharge status, and suicide risk. Non-honorably discharged veterans demonstrated higher mean scores than honorably discharged veterans on all predictors. In regression models, somatic symptoms (β = 0.22, p < 0.001), physical disability (β = 0.16, p < 0.05), and discharge status (β = 0.33, p < 0.001) were associated with suicide risk. The final model showed an interaction effect for discharge status on the relationship between somatic symptoms and suicide risk (β = 0.16, p < 0.05). Non-honorably discharged veterans showed higher rates of mental and physical health problems and suicide risk compared to honorably discharged veterans. The magnitude of the relationship between somatic symptoms and suicide risk was significantly greater in non-honorably discharged veterans.     

The Meanings of Democracy among Mass Publics

Social Indicators Research - In this paper, we illustrate that composite views about democracy vary significantly within and across national populations. Using World Values Survey data, we use...     

From Separate Corners to Dialogue and Action

How can higher education programs engage students in building a shared commons to address inequalities and foster commitment to intergroup collaboration? Intergroup dialogue is one such possibility to provide forums for meaningful engagement among students from diverse backgrounds. Findings from field experiments at nine colleges and universities show that students in intergroup dialogues increased significantly more than counterparts in control groups and social science comparison groups in their critiques of inequality and their commitments to post-college action to redress inequalities. Further, students in intergroup dialogues rated the frequency of the core communication processes more highly than the social science comparison students. The communication processes help account for the greater increase in students’ critiques of inequality and commitment to post-college actions.     

Transnational patterns among Asian American and Latina/o American children of immigrants from Southern California

A growing literature has examined the prevalence of transnational engagement among children of immigrants. However, few studies have been equipped to analyse underlying dynamics that serve to impede or perpetuate transnational practices among them in the United States. In this article, we compare transnationalism narratives between 1.5- and second-generation children of immigrants to more fully adjudicate enduring transnational ties over time. Our analysis of 134 interviews from the Children of Immigrants Longitudinal Study suggests that children of immigrants from Southern California conceptualise transnational experiences in diverse but remarkably similar ways. The meanings attached to transnational behaviours and identities employ certain patterns, and are often related to strength of kin-based ties, ethnic language fluency, and levels of structural access to the homeland. Moreover, findings indicate that the second-generation is nearly as transnationally engaged as the 1.5-generation. This provides novel but limited evidence in support of claims that transnational ties are sustained across generations.     

Singly and Doubly Censored Current Status Data: Estimation, Asymptotics and Regression

In biostatistical applications interest often focuses on the estimation of the distribution of time between two consecutive events. If the initial event time is observed and the subsequent event time is only known to be larger or smaller than an observed point in time, then the data is described by the well-understood singly censored current status model, also known as interval censored data, case I. Jewell et al. (1994) extended this current status model by allowing the initial time to be unobserved, with its distribution over an observed interval [A, B] known; the data is referred to as doubly censored current status data. This model has applications in AIDS partner studies. If the initial time is known to be uniformly distribute d, the model reduces to a submodel of the current status model with the same asymptotic information bounds as in the current status model, but the distribution of interest is essentially the derivative of the distribution of interest in the current status model. As a consequence the non-parametric maximum likelihood estimator is inconsistent. Moreover, this submodel contains only smooth heavy tailed distributions for which no moments exist. In this paper, we discuss the connection between the singly censored current status model and the doubly censored current status model (for the uniform initial time) in detail and explain the difficulties in estimation which arise in the doubly censored case. We propose a regularized MLE corresponding with the current status model. We prove rate results, efficiency of smooth functionals of the regularized MLE, and present a generally applicable efficient method for estimation of regression parameters, which does not rely on the existence of moments. We also discuss extending these ideas to a non-uniform distribution for the initial time.