Homelessness as One Component of Housing Instability and Its Impact on the Development of Children in Poverty

The number offamilies with children living in poverty and experiencing housing instability and homelessness has increased dramatically over the last two decades. Current public policy decisions will lead to further increases. Understanding the impact of this instability on the emotional, behavioral, and cognitive development of children is imperative. Few studies cn'tically examine the effects ofinstability on both domiciled and homeless children. This research examined the effects of homelessness and housing instability on 133 children 8 to 12 years of age living in poverty. Results indicate that whether a child is currently homeless is not as significant as overall stability which may have a long ranging effect on a child's future development.     

The ties that bind? Social networks of nursing staff and staff's behaviour towards residents with dementia

This study investigated social networks of nursing staff and staff's behaviour towards residents with dementia. We focused on two types of networks: communication networks among staff, and networks between nursing staff and relatives/acquaintances of residents. Data was collected in 37 long-term care units in nursing- and residential homes in the Netherlands.     

Review of Australian Health Related Social Work Research 1990–2009

Abstract

Social workers form a critical component of the Australian health workforce. While their roles as practitioners are very strategic within the health system, less clear is their contribution to health research. This paper reviews the published record of social work research in Australian health from 1990–2009 in order to discern the patterns of the social work contribution to new knowledge in health. The results of this review indicate a tendency to focus on discursive commentary rather than empirical research as well as a less-than-expected focus on client studies. Given the rise of evidence-based practice, there are potentially serious implications for social work in terms of how it positions itself as a contributor to new knowledge within the health field.     

Academic mothers with disabilities: Navigating academia and parenthood during COVID-19

Academic mothers (including nonbinary, trans, and genderqueer parents) have always faced challenges in their profession due to systemic barriers and a “motherhood tax”; however, COVID-19 has exacerbated already existing inequalities (Oleschuk, 2020). This study examines how the pandemic has affected academic mothers with mental health and physical disabilities, as these voices often remain hidden and unheard in academia despite increased awareness of their presence (Brown & Leigh, 2018; Kelly & Senior, 2020). Here, we share the voices of 23 participants using a qualitative methodology drawing from social justice and feminist theories to highlight the lived experience of academic mothers with mental and/or physical disabilities and their experiences as a scholar and parent during COVID-19. Understanding the lived experience of this intersectional population can provide invaluable insights into ableist privilege within higher education, especially in the context of COVID-19 which has substantially disrupted work and homelife routines.     

Groups in contact: Meta‐representations,interobjectivity, and cultural incompatibilities

This analysis departs from social identity being part and parcel of the system of social representations a group holds. Additionally, social identity is seen as being affectively laden with religious or other deeply ingrained ideological beliefs. These systems delimit the space of norms and behaviours where people socially construct the objects defining the local world as an objectively given. The local objectifications differ between groups and cultures and pose a problem for interaction and communication between members of different groups. Inter‐group discrepancies must be bridged by establishing a shared representational space and interobjective understanding. This understanding can be reached if both interactants mutually develop meta‐representations that allow them to grossly anticipate what to expect from the other and to orient their actions accordingly. But there is a catch in establishing interobjectivity: even if the interactants manage to overcome semantic and cognitive barriers, their interaction and open‐minded communication will be blocked if the two objectivities are ethically or affectively incommensurable. I illustrate this process by suggesting that native Europeans will feel blocked to establish interobjective acceptance for example with proponents of a slave holder culture whose values are incommensurable with European ideas of human equality. Accepting a slave holder's worldview would threaten the European's identity. A similar process seems to govern devout conservative Muslims living in 'gated communities' and enclaves in European cities who try to maintain their identity by avoiding regular contact with the non‐Muslim majority. Such contact would threaten their identity if their worldview and sharia rules were measured by the standards of human rights. Native Europeans on the other hand, will feel their own cultural objectivity to be incompatible with traditional Islam that does not equally observe human rights. The implications of such processes are discussed in terms of migrants' integration, multiculturalism, and socio‐political psychology.     

A new lifetime model with decreasing failure rate

In this paper, we introduce a new lifetime distribution by compounding exponential and Poisson–Lindley distributions, named the exponential Poisson–Lindley (EPL) distribution. A practical situation where the EPL distribution is most appropriate for modelling lifetime data than exponential–geometric, exponential–Poisson and exponential–logarithmic distributions is presented. We obtain the density and failure rate of the EPL distribution and properties such as mean lifetime, moments, order statistics and Rényi entropy. Furthermore, estimation by maximum likelihood and inference for large samples are discussed. The paper is motivated by two applications to real data sets and we hope that this model will be able to attract wider applicability in survival and reliability.     

Bivariate Kumaraswamy distribution: properties and a new method to generate bivariate classes

In this paper, we introduce a bivariate Kumaraswamy (BVK) distribution whose marginals are Kumaraswamy distributions. The cumulative distribution function of this bivariate model has absolutely continuous and singular parts. Representations for the cumulative and density functions are presented and properties such as marginal and conditional distributions, product moments and conditional moments are obtained. We show that the BVK model can be obtained from the Marshall and Olkin survival copula and obtain a tail dependence measure. The estimation of the parameters by maximum likelihood is discussed and the Fisher information matrix is determined. We propose an EM algorithm to estimate the parameters. Some simulations are presented to verify the performance of the direct maximum-likelihood estimation and the proposed EM algorithm. We also present a method to generate bivariate distributions from our proposed BVK distribution. Furthermore, we introduce a BVK distribution which has only an absolutely continuous part and discuss some of its properties. Finally, a real data set is analysed for illustrative purposes.     

A simple test for new better than used in expectation

We present a statistical procedure to test that a life distribution is exponential against the al ternative that it is continuous new better than used in expectation. The test is shown to be consistent and asymptotic relative efficiency resul ts are obtained against the competitor developed earlier by Hollander and Proschan [2], for certain families of alternatives.     

Regularized Gaussian belief propagation

Belief propagation (BP) has been applied in a variety of inference problems as an approximation tool. BP does not necessarily converge in loopy graphs, and even if it does, is not guaranteed to provide exact inference. Even so, BP is useful in many applications due to its computational tractability. In this article, we investigate a regularized BP scheme by focusing on loopy Markov graphs (MGs) induced by a multivariate Gaussian distribution in canonical form. There is a rich literature surrounding BP on Gaussian MGs (labelled Gaussian belief propagation or GaBP), and this is known to experience the same problems as general BP on graphs. GaBP is known to provide the correct marginal means if it converges (this is not guaranteed), but it does not provide the exact marginal precisions. We show that our adjusted BP will always converge, with sufficient tuning, while maintaining the exact marginal means. As a further contribution we show, in an empirical study, that our GaBP variant can accelerate GaBP and compares well with other GaBP-type competitors in terms of convergence speed and accuracy of approximate marginal precisions. These improvements suggest that the principle of regularized BP should be investigated in other inference problems. The selection of the degree of regularization is addressed through the use of two heuristics. A by-product of GaBP is that it can be used to solve linear systems of equations; the same is true for our variant and we make an empirical comparison with the conjugate gradient method.