Exploring Relationships between Social Policy and Changing Family Forms within the European Union

This article examines critically the linkages posited between social policy and changing family forms in European Union member states since the 1960s. While lower fertility rates, changing family patterns, population ageing and the rapid growth in women's economic activity can be shown to provoke policy responses, evidence for a causal impact of policy on demographic behaviour and for the diffusion of policies between countries is inconclusive. The article argues that policy environments are shaped by a complex array of factors, which may appear, in certain configurations, to be conducive to family building or to the development of particular family forms.     

Family comes first or open all hours?: How low paid women working in food retailing manage webs of obligation at home and work

This paper draws on qualitative findings from a study exploring work-life balance issues amongst female employees within food retailing. Whilst female employment is fundamental to this sector, there is limited evidence on employees' experiences of reconciling relatively low-paid work and the particular demands of food retailing with domestic and caring responsibilities. Managing competing discourses and demands at home and work is a feature of many women's lives. For those in low-paid jobs, with fewer material resources to fall back on, such webs of obligation, often stretching over the lifecourse, may be particularly difficult to navigate or escape. In food retail work, as in caring/domestic emergencies, timeframes may be tight and demands made on workers at short notice and outwith the standard working day. The study showed that sustaining their moral identities both as good mothers/daughters/family members ('family comes first') and as good and reliable workers ('the store must be staffed') was, therefore, an everyday practical accomplishment for these food retail employees. We explore women's accounts against the backdrop of particular familial, workplace and socio-cultural expectations and constraints, identifying overlapping sets of values between home and work as well as points of contradiction and tension.     

Hunger: The Silent Epidemic Among Asylum Seekers and Resettled Refugees

Refugees and asylum seekers face challenges after arriving in a host country. They carry the trauma that they may have experienced in their countries of origin, during fight, and in countries of asylum. Other stressors impact on their adjustment after arriving in the United States including basic needs such as food, clothing, and shelter. This is a retrospective review of data collected as part of a needs assessment by a program, which serves survivors of torture and refugee trauma. Asylum seekers (n=65) and refugees were compared (n=30). Asylum seekers were more apt to be from Africa (p<.001), need family reunification (p=.027), speak more languages (p<.001), suffer from political persecution (p<.001), move from place to place due to not having a permanent place to live (p=.031), and be unable to contribute to the rent (p<.001). Unadjusted, asylum seekers were also more likely than refugees to have gone to bed hungry in the previous two weeks (p<.001) or since arriving in the United States (p<.001). Refugees were more likely to be eating more food now than before feeing, and asylum seekers the opposite (p<.001). Being an asylum seeker made one 3.7 times more likely to suffer from food insecurity than being a refugee, and 5.3 times more likely to not have work authorization. Among asylum seekers, adjusting for gender, age, education, lack of permanent housing, English fluency, and self-reported health status, not having work authorization made one 5.6 times more likely to suffer from hunger. Independently, being a torture survivor made one 10.4 times more likely to suffer from hunger. Asylum seekers must wait 150 days before applying for asylum in the United States. For humanitarian reasons, mandatory-waiting periods for work authorization for asylum seekers should be eliminated.     

THE DIFFUSION OF MEDICAL TECHNOLOGY: SOCIAL NETWORK ANALYSIS AND POLICY RESEARCH

The purpose of this article is to demonstrate how social network analysis can be used to provide information for policy decisions pertaining to physicians' adoption and utilization of new medical technology. Interviews and hospital records were used to obtain data on refenals, consultations, discussions, and on-call coverage; utilization of a computer-based hospital information system; and personal and practice characteristics from 24 physicians who belong to a private group practice. The results of a block-model analysis suggest that the physician's relative position in the network is an important determinant of his/her participation in the diffusion process. A number of policy implications related to the introduction of new medical technology into practice settings are discussed.     

Moments of the sampled autocovariances and autocorrelations for a Gaussian white-noise process

Cumulants, moments about zero, and central moments are obtained for the mean-corrected serial covariances and serial correlations for series realizations of length n from a white-noise Gaussian process. All first and second moments (and some third, fourth, and higher moments) are given explicitly for the serial covariances; and the corresponding moments for the serial correlations are derived either explicitly or implicitly.     

The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

Candidate locally D-optimal designs for the binary two-variable logistic model with no interaction, which comprise 3 and 4 support points lying in the first quadrant of the two-dimensional Euclidean space, were introduced by Haines et al. (D-optimal designs for logistic regression in two variables. In: Lopez-Fidalgo J, Rodrigez-Diaz JM, Torsney B, editors. MODA8 – advances in model-oriented designs and analysis. Heidelberg: Physica-Verlag; 2007. p. 91–98). The authors proved algebraically the global D-optimality of the 3-point design for the special case in which the intercept parameter is equal to?1.5434. However for other selected values of the intercept parameter, the global D-optimality of the proposed 3- and 4-point designs was only demonstrated numerically. In this paper, we provide analytical proofs of the D-optimality of these 3- and 4-point designs for all negative and zero intercept parameters of the binary two-variable logistic model with no interaction. The results are extended to the construction of D-optimal designs on a rectangular design space and illustrated by means of two examples of which one is a real example taken from the literature.     

To adjust or not to adjust for baseline when analyzing repeated binary responses? The case of complete data when treatment comparison at study end is of interest

The benefits of adjusting for baseline covariates are not as straightforward with repeated binary responses as with continuous response variables. Therefore, in this study, we compared different methods for analyzing repeated binary data through simulations when the outcome at the study endpoint is of interest. Methods compared included chi‐square, Fisher's exact test, covariate adjusted/unadjusted logistic regression (Adj.logit/Unadj.logit), covariate adjusted/unadjusted generalized estimating equations (Adj.GEE/Unadj.GEE), covariate adjusted/unadjusted generalized linear mixed model (Adj.GLMM/Unadj.GLMM). All these methods preserved the type I error close to the nominal level. Covariate adjusted methods improved power compared with the unadjusted methods because of the increased treatment effect estimates, especially when the correlation between the baseline and outcome was strong, even though there was an apparent increase in standard errors. Results of the Chi‐squared test were identical to those for the unadjusted logistic regression. Fisher's exact test was the most conservative test regarding the type I error rate and also with the lowest power. Without missing data, there was no gain in using a repeated measures approach over a simple logistic regression at the final time point. Analysis of results from five phase III diabetes trials of the same compound was consistent with the simulation findings. Therefore, covariate adjusted analysis is recommended for repeated binary data when the study endpoint is of interest. Copyright © 2015 John Wiley & Sons, Ltd.     

District Segregation,Race Legislation,and Black Enrollment in Charter Schools*

Objective. This article examines how segregation at the school level within districts and charter school legislation predict black enrollment levels at local charter schools. Methods. This study uses the Schools and Staffing Survey Charter School Data 1999–2000, Common Core of Data, and a unique data set of district test scores to estimate OLS regression models of black enrollment in charter schools on district racial segregation and race provisions in charter school legislation. Results. Findings suggest that segregated school districts, those districts where whites and blacks are more unevenly distributed among schools, have a larger percentage of blacks enrolled in local charter schools than districts where schools are integrated. In addition, charter schools in states that do not have a racial clause have a smaller percent of blacks in their charter schools. Conclusion. Findings suggest that black enrollment in charter schools is a function of district segregation and state policy.     

University-community partnerships in gerontological social work: building consensus around student learning

This article will demonstrate how schools of social work can collaborate with community agencies to provide a comprehensive and enriching educational experience for both student interns and participating agencies. An innovative partnership of a state school of social work with community agencies leading to a cutting-edge geriatric field education program is described. Case examples are used to illustrate the benefits of these partnerships, as well as challenges partners overcame in forging and sustaining partnerships. Necessary components of partnership development are detailed.