Bayesian Kernel Mixtures for Counts

Although Bayesian nonparametric mixture models for continuous data are well developed, there is a limited literature on related approaches for count data. A common strategy is to use a mixture of Poissons, which unfortunately is quite restrictive in not accounting for distributions having variance less than the mean. Other approaches include mixing multinomials, which requires finite support, and using a Dirichlet process prior with a Poisson base measure, which does not allow smooth deviations from the Poisson. As a broad class of alternative models, we propose to use nonparametric mixtures of rounded continuous kernels. An efficient Gibbs sampler is developed for posterior computation, and a simulation study is performed to assess performance. Focusing on the rounded Gaussian case, we generalize the modeling framework to account for multivariate count data, joint modeling with continuous and categorical variables, and other complications. The methods are illustrated through applications to a developmental toxicity study and marketing data. This article has supplementary material online.     

Resolving Coparenting Dissatisfaction In Couples: A Preliminary Task Analysis Study

This study explored the change that unfolded when parents resolved their coparenting dissatisfaction during an Integrative Brief Systemic Intervention (IBSI) for parent couples. We conducted a task analysis (Greenberg, 2007) to build a model of resolving coparenting dissatisfaction. We compared a postulated model of change (rational model) based on theoretical and clinical assumptions to the observations of the actual change process that couples experienced in an IBSI (empirical analysis). The empirical analysis was conducted on six IBSI therapy cases (three exhibiting positive development and three exhibiting no development). We defined positive development in IBSI as moving from coparenting dissatisfaction to coparenting satisfaction. The final rational–empirical model included six steps that facilitated the resolution of coparenting dissatisfaction. This study contributes to deepening the knowledge of how coparenting may change during marital therapy.     

Building relationships on social networking sites from a social work approach

ABSTRACT

Our current age of connectedness has facilitated a boom in interactive dynamics within social networking sites. It is, therefore, possible for the field of Social Work to draw on these advantages in order to connect with the unconnected by strengthening online mutual support networks among users.

The aim of this article is to examine whether ‘connectedness’ in social networking sites improves online social capital and resilience of social service users.

Through our analysis of social networks carried out on an experimental model, we observed the patterns of connectedness on Facebook of 50 social service end-users from Málaga, Spain. The detection of online communities through the modularity algorithm has allowed us to ascertain whether individuals’ offline realities mirror their online realities. At the same time, we examined the influence certain interactions (likes, comments, etc.) have on leadership through online ethnography. Finally, online social capital, understood as the combination of connectedness and online interaction, has been correlated with users’ resilience. The results reveal that both connectedness and interaction feed themselves and have correlations with resilience.     

Illicit Financial Flows: Another Road Block to Human Development in Low- and Middle-Income Countries

Social Indicators Research - This article analysed the relationship between illicit financial flows (IFFs) and human development, as measured with the United Nations Human Development Index (HDI),...     

How Disadvantages Shape Life Satisfaction: An Alternative Methodological Approach

Social Indicators Research - Life satisfaction is one of the key indicators of subjective well-being. This paper aims to give a methodological contribution to the study of the factors influencing...     

Construction and Evolution of a Multidimensional Well-Being Index for the Spanish Regions

The study presented here is an attempt to calculate a comparative multidimensional index of economic well-being for the Spanish Autonomous Communities. Based on the dimensions of adjusted consumption, real wealth, equity and economic security per inhabitant, we obtain one relative index using a system of uniform weightings, a second resulting from a factor analysis and a third provided by a DEA analysis. We elaborate the index for the year 2000 and for 2006, thereby providing the relative results with greater robustness and permitting some conclusions to be reached with regard to the evolution over time of the index.     

The Relative Contribution of Health Status and Quality of Life Domains in Subjective Health in Old Age

To analyze the influence of different health status dimensions and quality of life (QoL) domains on older adults’ subjective health, and to assess the role that residential satisfaction plays in these relationships. A QoL survey was conducted on a representative sample of the community-dwelling older adult population in Madrid province (Spain). Logistic regression models were applied to studying: the health status dimensions associated with satisfaction with health; the relationship between satisfaction with health and other QoL domains; and, the influence of these domains on satisfaction with life. Sociodemographic and residential characteristics were included in all the models. The determinants of satisfaction with health in the first model were: mobility, usual activities, morbidity, and satisfaction with neighborhood. QoL domains associated with health were: leisure activities, neighborhood, and finances. Satisfaction with life was explained by these three domains, along with age, family and health. In sum, leisure, neighborhood, and finances showed a positive effect on satisfaction with health and with life.     

Imagining contact reduces prejudice in preschool children

We examined the effectiveness of an imagery‐based strategy designed to reduce prejudice in preschoolers in Italy. Three studies involving different target groups (disabled children, Black children) were conducted within Italian preschools. Children (4–6 years) were asked to imagine and draw meeting an outgroup member (Studies 1 and 2) or to imagine writing a letter to an outgroup member (Study 3). Results revealed that preschoolers in the experimental condition, relative to a control group, reported less intergroup bias in the form of contact intentions and resource allocation as well as greater behavioral inclusiveness; effects were mediated by improved intergroup attitudes. Our findings are important in understanding ways that promote positive intergroup relations in ways that align with the interests of young children.     

Analyzing Customer Requirements to Select a Suitable Service Configuration Both for Users and for Company Provider

Social Indicators Research - The analysis of Customer Satisfaction is an important tool in planning business activities. It allows firms to identify which features and attributes are important for...     

Spatial prediction and spatial dependence monitoring on georeferenced data streams

Statistical Methods & Applications - This paper deals with the analysis of data streams recorded by georeferenced sensors. We focus on the problem of measuring the spatial dependence among the...