Commentary: A Citizenship without Social Rights? EU Freedom of Movement and Changing Access to Welfare Rights

Despite not being grounded in the classic nation-building dynamic of citizenship identified by T.H.Marshall, EU citizenship offers social rights and welfare protection to non-nationals on a principle of non-discrimination. We narrate a creeping process of retrenchment by which European member states have used policy strategies to undermine this principle, by transforming the unique idea of free movement of persons in the EU to just another form of “immigration” which can be subject to selectivity and exclusion. As Europe’s multiple recent crises have unfolded, political resources were found to effect this transformation tangibly via reshaping access to welfare for EU citizens. Focusing on the cases of the UK and Germany, we discuss how, despite their distinctive welfare regimes and labour market systems, these two countries have led the way toward a dismantling of non-discrimination for EU citizens and effectively the end of the anomalous ‘post-national’ dimension of European citizenship.     

A stochastically curtailed two-arm randomised phase II trial design for binary outcomes

Randomised controlled trials are considered the gold standard in trial design. However, phase II oncology trials with a binary outcome are often single-arm. Although a number of reasons exist for choosing a single-arm trial, the primary reason is that single-arm designs require fewer participants than their randomised equivalents. Therefore, the development of novel methodology that makes randomised designs more efficient is of value to the trials community. This article introduces a randomised two-arm binary outcome trial design that includes stochastic curtailment (SC), allowing for the possibility of stopping a trial before the final conclusions are known with certainty. In addition to SC, the proposed design involves the use of a randomised block design, which allows investigators to control the number of interim analyses. This approach is compared with existing designs that also use early stopping, through the use of a loss function comprised of a weighted sum of design characteristics. Comparisons are also made using an example from a real trial. The comparisons show that for many possible loss functions, the proposed design is superior to existing designs. Further, the proposed design may be more practical, by allowing a flexible number of interim analyses. One existing design produces superior design realisations when the anticipated response rate is low. However, when using this design, the probability of rejecting the null hypothesis is sensitive to misspecification of the null response rate. Therefore, when considering randomised designs in phase II, we recommend the proposed approach be preferred over other sequential designs.     

Prevalence of Low Physical Activity and its Relation to Social Environment in Deprived Areas in the London Borough of Redbridge

Achieving adequate levels of physical activity (PA) is important to maintain health and prevent chronic disease. The costs of inadequate physical activity to the NHS have been estimated at over a billion pounds annually. While socio-demographic characteristics such as age, sex and ethnicity have been reported to be associated with different levels of PA, there is evidence that people??s social environments may also be important in encouraging a physically active lifestyle. The objective of this paper is to describe associations between the social environment and physical activity among the poorer communities in an outer London Borough, when other socio-demographic factors are controlled for. A household survey was carried out in six poorer neighbourhoods in Redbridge in 2008 as part of a wider health needs assessment. The questionnaire included questions allowing estimation of levels of physical activity as well as extent of social environment [social network score (SNS) and social support score (SSS)]. A random sample of households was taken and a total of 799 completed responses from over 16 year old were obtained. The association between physical activity and the social environment controlling for socio-demographic characteristics was estimated using a logistic nested model. Higher SNS was significantly associated with younger age, Black ethnicity, higher education level, higher household income and higher levels of PA in bivariate analyses. Higher SSS was positively associated with Indian ethnicity, higher household income and area of residence. In multivariate analyses higher levels of PA were significantly associated with wider social networks and stronger social support, educational level and marital status. Despite its limitations, our findings confirm that the relationship between low physical activity and weak social networks and low social support, observed in general population studies, also occurs in deprived communities in London. The relationship merits further exploration given the limited evidence on the effectiveness of interventions to promote physical activity.     

ESTIMATING A RATIO OF MEANS FROM BIVARIATE COUNTS WITH APPLICATIONS IN STEREOLOGY

In survey sampling and in stereology, it is often desirable to estimate the ratio of means θ= E(Y)/E(X) from bivariate count data (X, Y) with unknown joint distribution. We review methods that are available for this problem, with particular reference to stereological applications. We also develop new methods based on explicit statistical models for the data, and associated model diagnostics. The methods are tested on a stereological dataset. For point‐count data, binomial regression and bivariate binomial models are generally adequate. Intercept‐count data are often overdispersed relative to Poisson regression models, but adequately fitted by negative binomial regression.     

Fast computation of spatially adaptive kernel estimates

Kernel smoothing of spatial point data can often be improved using an adaptive, spatially varying bandwidth instead of a fixed bandwidth. However, computation with a varying bandwidth is much more demanding, especially when edge correction and bandwidth selection are involved. This paper proposes several new computational methods for adaptive kernel estimation from spatial point pattern data. A key idea is that a variable-bandwidth kernel estimator for d-dimensional spatial data can be represented as a slice of a fixed-bandwidth kernel estimator in \((d+1)\)-dimensional scale space, enabling fast computation using Fourier transforms. Edge correction factors have a similar representation. Different values of global bandwidth correspond to different slices of the scale space, so that bandwidth selection is greatly accelerated. Potential applications include estimation of multivariate probability density and spatial or spatiotemporal point process intensity, relative risk, and regression functions. The new methods perform well in simulations and in two real applications concerning the spatial epidemiology of primary biliary cirrhosis and the alarm calls of capuchin monkeys.     

Marital Satisfaction,Family Emotional Expressiveness,Home Learning Environments,and Children's Emergent Literacy

The current study investigates associations among marital satisfaction, family emotional expressiveness, the home learning environment, and preschool‐aged children's emergent literacy skills among 385 Midwestern mothers and their children. Path analyses examined how marital satisfaction related to emotional expressiveness in the home and whether this path was associated with the home learning environment and children's literacy skills. Higher maternal satisfaction was associated with higher levels of positive and lower levels of negative family emotional expressiveness. Additionally, family emotional environments characterized by mothers with higher positive expression were related to better home learning environments, which in turn were associated with higher literacy skills in children. Study findings underscore the importance of marital and family processes when considering young children's academic development.     

Student Views on Good Practice in Social Work Education

This article focuses on the delivery of a social work degree programme in England, one of the constituent jurisdictions of the United Kingdom, and explores student perceptions of their learning experience and what constitutes effective teaching. The data are drawn from a larger research project which is ongoing and focuses upon the specific ways in which the BSc Hons Social Work degree at a university in the East Midlands prepares students to meet the demands of employers. Linked to the national evaluation of the new social work degree, social work academics at the university worked with final year social work degree students as co-researchers to evaluate student views on the quality of teaching practices across the teaching team.