Migrant networks and the immigrant professional: An analysis of the role of weak ties

Weak ties, particularly those to potential employers, play a more important role than strong ties in the immigration of professionals to the United States. I operationalize network strength through the class of admission variable in the Immigration and Naturalization Service's public use data files,Immigrants Admitted to the United States, 1972–1992. I also examine the differential impact of legislative measures on the availability of strong versus weak ties for four groups of professionals: physicians, nurses, engineers and scientists. Not only do weak ties figure heavily on the immigration experiences of professionals, but those impacts affect women differently than men. Professional women rely more heavily on strong ties than on weak ties when compared with males in their respective professions, with the exception of nursing. These findings suggests a need for further study into the migration experiences of professionals as well as more research into how gendered networks develop among immigrant professionals and how those networks influence (either positively or negatively) immigrant adaptation to United States' society.     

Childbearing Across Partnerships in Australia,the United States,Norway, and Sweden

This article compares mothers’ experience of having children with more than one partner in two liberal welfare regimes (the United States and Australia) and two social democratic regimes (Sweden and Norway). We use survey-based union and birth histories in Australia and the United States and data from national population registers in Norway and Sweden to estimate the likelihood of experiencing childbearing across partnerships at any point in the childbearing career. We find that births with new partners constitute a substantial proportion of all births in each country we study. Despite quite different arrangements for social welfare, the determinants of childbearing across partnerships are very similar. Women who had their first birth at a very young age or who are less well-educated are most likely to have children with different partners. The educational gradient in childbearing across partnerships is also consistently negative across countries, particularly in contrast to educational gradients in childbearing with the same partner. The risk of childbearing across partnerships increased dramatically in all countries from the 1980s to the 2000s, and educational differences also increased, again, in both liberal and social democratic welfare regimes.     

The Association Between Adolescent Life Satisfaction, Family Structure, Family Affluence and Gender Differences in Parent–Child Communication

The study sought to examine young people’s life satisfaction in the context of the family environment, using data from the 2006 HBSC: WHO-collaborative Study in Scotland (N = 5,126). Multilevel linear regression analyses were carried out for 11-, 13- and 15-year old boys and girls, with outcome measure ridit-transformed life satisfaction. The study found there to be a relationship between family structure and life satisfaction for boys and girls aged 13 and 15 years. Family affluence mediated this relationship, however the extent of this mediation depended both on age and gender. For both boys and girls at all ages, life satisfaction was more strongly associated with parent–child communication than with family structure or family affluence. After adjustment for risk/health behaviours and attitudes towards peers and school, family structure remained significant for boys aged 13 years only. Whereas difficult parent–child communication acted as a risk factor of low life satisfaction for boys and girls, easy communication acted as protective factor among girls only.     

Bayesian hierarchical regression models for detecting QTLs in plant experiments

Quantitative trait loci (QTL) mapping is a growing field in statistical genetics. In plants, QTL detection experiments often feature replicates or clones within a specific genetic line. In this work, a Bayesian hierarchical regression model is applied to simulated QTL data and to a dataset from the Arabidopsis thaliana plants for locating the QTL mapping associated with cotyledon opening. A conditional model search strategy based on Bayesian model averaging is utilized to reduce the computational burden.     

The Unintended Consequences of “Lack of Supervision” Child Neglect Laws: How Developmental Science Can Inform Policies about Childhood Independence and Child Protection

Policies and programs designed to serve children and families are sometimes misaligned with developmental science research. Broad child neglect reporting laws, first adopted by the United States in 1974, have led to families being prosecuted by child protection authorities for allowing children to participate in everyday age-appropriate activities unsupervised. In this report we describe the challenges of defining child neglect and outline the current landscape of neglect laws in the United States. We then provide a broad overview of some of the developmental milestones children need to reach to participate in unsupervised activities and the benefits of independent activities on child development. Children can often accomplish tasks at a much younger age than law, parents, and caregivers in the U.S. believe. We then turn to the literature from across the world and argue that culture, not innate ability, drives much of the variation in the age at which children can do things on their own. Finally, we make recommendations to parents, caregivers, legislators, advocates, and developmental scientists to better align practice with research. This is a social justice issue that should resonate across party, racial, and class lines. Developmental scientists are needed as advocates and advisors on policies impacting children and families, especially child neglect laws.     

Generating inclusive services for children,youth and families: A shift to using complex systems theory

Service systems for children and families have been shaped by standard approaches to knowledge-building, which reflect a reductionist approach and assume linearity and/or that individuals and experiences are normally distributed. Yet, these approaches may be inadequate for clients most at-risk, especially those who would be analytic ‘outliers’. A complexity lens focuses on the whole system and seeks to identify patterns, including the dynamic interactions between components of the system. Social work scholars have begun to apply complexity theory to social work research efforts, demonstrating the conceptual potential of incorporating this theoretical approach into social work theories and models such as the person-in-environment framework and the ecosystems perspective. Yet, frameworks informed by complexity theory may require ontological and epistemological shifts in thinking and new methodological approaches in order to fully embody a complexity approach. Complexity theory offers the opportunity to consider social work clients who are most at-risk, as it is better suited for power law distributions. We can, therefore, reconceptualize the most ‘at-risk’ clients as being in a state of transition, which is also the space of most creativity and possibility.     

Prosocial Behavior: Long‐term Trajectories and Psychosocial Outcomes

This study investigated developmental trajectories for prosocial behavior for a sample followed from the age of 10–18 and examined possible adjustment outcomes associated with membership in different trajectory groups. Participants were 136 boys and 148 girls, their teachers, and their parents (19.4 percent African‐American, 2.4 percent Asian, 51.9 percent Caucasian, 19.5 percent Hispanic, and 5.8 percent other). Teachers rated children's prosocial behavior yearly in grades 4–12. At the end of the 12th grade year, teachers, parents, and participants reported externalizing behaviors and participants reported internalizing symptoms, narcissism, and features of borderline personality disorder. Results suggested that prosocial behavior remained stable from middle childhood through late adolescence. Group‐based mixture modeling revealed three prosocial trajectory groups: low (18.7 percent), medium (52.8 percent), and high (29.6 percent). Membership in the high prosocial trajectory group predicted lower levels of externalizing behavior as compared with the low prosocial trajectory group, and for girls, lower levels of internalizing symptoms. Membership in the medium prosocial trajectory group also predicted being lower on externalizing behaviors. Membership in the high prosocial trajectory group predicted lower levels of borderline personality features for girls only.