The Effects of Family Structure on African American Adolescents' Marijuana Use

The relationship between family structure and marijuana use throughout adolescence was assessed among 1,069 African Americans from the NLSY. A model was also tested suggesting that the effects of family structure on marijuana use would be mediated by poverty, neighborhood quality, and adolescents' self‐control. As most prior studies have found, family structure was not related to female adolescents' marijuana use. For young men, being raised with both biological parents was associated with less marijuana use throughout adolescence compared to those whose mothers never married, divorced early and never remarried, or divorced and remarried. Some support for the model was also found. We concluded that being raised without the presence of a biological father is a risk factor for marijuana use among young men, but African American young women from single‐parent households have unique resources that protect them from marijuana use. Understanding those resources may offer insight into prevention programs for other youth.     

Population forecasting: do simple models outperform complex models?

"This paper reviews the growing literature on population forecasting to examine a curious paradox: despite continuing refinements in the specification of models used to represent population dynamics, simple exponential growth models, it is claimed, continue to outperform such more complex models in forecasting exercises. Shrinking a large complex model in order to simplify it typically involves two processes: aggregation and decomposition. Both processes are known to introduce biases into the resulting representations of population dynamics. Thus it is difficult to accept the conclusion that simple models outperform complex models. Moreover, assessments of forecasting performance are notoriously difficult to carry out, because they inevitably depend not only on the models used but also on the particular historical periods selected for examination....This paper reviews some of the recent debate on the simple versus complex modeling issue and links it to the questions of model bias and distributional momentum impacts." (SUMMARY IN FRE)     

Assessing state population projections with transparent multiregional demographic models

Population projection models that are conceptually simple enough to be called transparent may be used to check the validity of projections generated by black box models whose behavior may be somewhat shrouded in mystery. This paper adopts a multiregional demographic model to illustrate how such a validation procedure might be carried out on state population projections produced by the U.S. Bureau of the Census in 1988.     

Evaluation of free to grow: head start partnerships to promote substance-free communities

Free to Grow: Head Start Partnerships to Promote Substance-free Communities (FTG) was a national initiative in which local Head Start (HS) agencies, in partnership with other community organizations, implemented a mix of evidence-based family-strengthening and community-strengthening strategies. The evaluation of FTG used a quasi-experimental design to compare 14 communities that participated in the FTG intervention with 14 matched comparison communities. Telephone surveys were conducted with two cohorts of the primary caregivers of children in HS at baseline and then annually for 2 years. The survey was also administered to repeated cross-sectional samples of primary caregivers of young children who were not enrolled in HS. No consistent evidence was found in changes in family functioning or neighborhood conditions when the 14 FTG sites were compared to 14 matched sites. However, caregivers of young children who were not in HS in three high-implementing FTG sites showed evidence of improvements in neighborhood organization, neighborhood norms against substance abuse, and child disciplinary practices. Results provide highly limited support for the concept that family and neighborhood conditions that are likely to affect child development and well-being can be changed through organized efforts implemented by local HS programs.     

Spillover Between Marital Quality and Job Satisfaction: Long‐Term Patterns and Gender Differences

We used data from a 12‐year panel survey of a nationally representative sample of married individuals (not couples) and structural equation modeling to investigate the process of spillover between marital quality (satisfaction and discord) and job satisfaction among married individuals. We considered three questions: whether job satisfaction and marital quality are related over the long term, whether influence flows primarily from work to family or if there is a pattern of mutual effects between job satisfaction and marital quality, and whether job satisfaction and marital quality are related in similar ways for married women and married men over the long term. We found that marital quality and job satisfaction are related over the long term and that marital quality is the more influential of these domains. We found evidence of both positive and negative spillover from marital quality to job satisfaction over the long term. Specifically, increases in marital satisfaction were significantly related to increases in job satisfaction, and increases in marital discord were significantly related to declines in job satisfaction. Finally, our results indicated that these processes operate similarly for married women and married men.     

Governmentality by Network in English Primary Healthcare

In England, the quality of clinical work is being regulated in new ways following recent developments in “clinical governance” policy and apparent failures in the previous system of medical self‐regulation. Using multiple case studies, this paper examines how these changes are affecting professional governmentality and discipline in general practice. Formal organizational structures play little role in clinical governance there. Clinical quality is managed largely through semi‐formal networks, relying on medical self‐surveillance. Compliance is achieved largely by discursive appeals to the legitimacy of clinical governance, but local GPs’ leaders also argue that governments might otherwise regulate medical practice more actively. As yet the effects of clinical governance activity on service delivery are slight. Professional self‐regulation is replacing permissive exception management with more collegial, directive methods.     

Training Field Instructors British Style

A system recently introduced in Britain for training and accrediting social work field instructors addresses concerns about the quantity of competent field instructors and the quality of field education in social work programs. This article discusses the British training/accrediting system for field instructors, its impact on field education in the UK, and its implications for North American schools of social work, field education, and accreditation standards.     

Anti-Oppressive Social Work Research: Reflections on Power in the Creation of Knowledge

This paper is based on the development of a framework that conceptualises forms of power in social work research. Its aim is to encourage readers to critically reflect on potentially oppressive manifestations of power in social work research. The article draws on Lukes' model of power and Gould's subsequent framework which contributed to anti-racist teaching in social work education. Gould's framework is reinterpreted and applied to a differing context: social work research. The field of social work research is explored through this framework, highlighting potentially oppressive manifestations of power and suggesting anti-oppressive strategies. The model is then applied to social work education and specifically the teaching of research methods. The paper concludes by suggesting curriculum guidelines that promote the teaching of anti-oppressive social work research methods.     

The Nonlinear Relationship Between Education and Mortality: An Examination of Cohort, Race/Ethnic, and Gender Differences

Researchers investigating the relationship between education and mortality in industrialized countries have consistently shown that higher levels of education are associated with decreased mortality risk. The shape of the education–mortality relationship and how it varies by demographic group have been examined less frequently. Using the U.S. National Health Interview Survey-Linked Mortality Files, which link the 1986 through 2004 NHIS to the National Death Index through 2006, we examine the shape of the education–mortality curve by cohort, race/ethnicity, and gender. Whereas traditional regression models assume a constrained functional form for the dependence of education and mortality, in most cases semiparametric models allow us to more accurately describe how the association varies by cohort, both between and within race/ethnic and gender subpopulations. Notably, we find significant changes over time in both the shape and the magnitude of the education–mortality gradient across cohorts of women and white men, but little change among younger cohorts of black men. Such insights into demographic patterns in education and mortality can ultimately help increase life expectancies.