Perceptions on dynamics and mobilities in the Triple Border between Argentina,Brazil and Paraguay

This study seeks to contribute to the ongoing discussion on border dynamics, mobilities and migration. It focuses on the perceptions around these categories in the Triple Border between Argentina, Brazil and Paraguay, also known as tri-border area or triple frontier. This region is characterized by contrasting elements, including poverty, inequality and abundant natural resources, as well as a significant flow of people and goods, which may not always conform to legal frameworks. We combine the ethnographic approach with a broader regional perspective, necessary to contextualize the strategies implemented by local population in order to capitalize on the presence of the international frontiers. Finally, we discuss the limitations of public policies that fail to reach those living in the material and symbolic borders of society.     

Poverty Assessment in Degraded Rural Drylands in the Monte Desert,Argentina. An Evaluation Using GIS and Multi-criteria Decision Analysis

The work aims to contribute to the construction a local-scale poverty indicator, which contemplates multiple dimensions and allows for spatialization of socioeconomic data for a rural area in the Monte Desert. Given the evident and widely studied relationship between desertification processes and poverty, and aiming to contribute to integrating socioeconomic information to desertification assessment and monitoring, there arises the need for spatializing poverty by addressing its multiple dimensions, aspects poorly developed thus far. For this purpose, a data model was designed, which enabled integrating quantitative and qualitative information within the scope of geographic ?nformation systems (GIS) with multi-criteria decision analysis (MCDA), whereby it was possible to spatialize in detail the degree of poverty in the study area, laying the foundations for up-scaling the assessment to different scales. This work demonstrates the usefulness of GIS and MCDA as an instrument that enables progressing in new integral, interdisciplinary, multi-scale and multi-temporal approaches.     

Augmented-limited regression models with an application to the study of the risk perceived using continuous scales

Studies of risk perceived using continuous scales of [0,100] were recently introduced in psychometrics, which can be transformed to the unit interval, but the presence of zeros or ones are commonly observed. Motivated by this, we introduce a full inferential set of tools that allows for augmented and limited data modeling. We considered parameter estimation, residual analysis, influence diagnostic and model selection for zero-and/or-one augmented beta rectangular (ZOABR) regression models and their particular nested models, which is based on a new parameterization of the beta rectangular distribution. Different from other alternatives, we performed maximum-likelihood estimation using a combination of the EM algorithm (for the continuous part) and Fisher scoring algorithm (for the discrete part). Also, we perform an additional step, by considering other link functions, besides the usual logistic link, for modeling the response mean. By considering randomized quantile residuals, (local) influence diagnostics and model selection tools, we identified that the ZOABR regression model is the best one. We also conducted extensive simulations studies, which indicate that all developed tools work properly. Finally, we discuss the use of this type of models to treat psychometric data. It is worthwhile to mention that applications of the developed methods go beyond to Psychometric data. Indeed, they can be useful when the response variable in bounded, including or not the respective limits.     

Estimators for a Poisson parameter using ranked set sampling

Using ranked set sampling, a viable BLUE estimator is obtained for estimating the mean of a Poisson distribution. Its properties, such as efficiency relative to the ranked set sample mean and to the maximum likelihood estimator, have been calculated for different sample sizes and values of the Poisson parameter. The estimator (termed the normal modified r.s.s. estimator is more efficient than both the ranked set sample mean and the MLE. It is recommended as a reasonable estimator of the Poisson mean ( λ) to be used in a ranked set sampling environment.     

Perceived Variability in Social Relations and Psychological Distress: Toward a Variability Approach to Subclinical Depression

The present research aimed at (a) identifying different types of social relations with distinct extents of perceived variability, and (b) examining how perceived variability in social relations was related to psychological distress in a sample of 120 Chinese university students (Study 1) and 50 Chinese working adults (Study 2). Using questionnaires, three types of perceived social relations were identified in Study 1, namely supportive relations with more perceived support and less perceived conflict, conflictive relations with more perceived conflict and less perceived support, and variable relations with more perceived support and more perceived conflict. Using daily logs, three participant groups with distinct extents of perceived variability in daily relational experience were identified in Study 2, namely the low-variability, medium-variability, and high-variability groups. Moreover, results from both studies revealed that participants perceiving a high variability in their social relations experienced the highest level of psychological distress.     

Exploring resiliency factors of older african american katrina survivors

Through this qualitative study the author explores the resiliency processes demonstrated by older African American Hurricane Katrina survivors who relocated in the aftermath of the storm and were consequently faced with difficult challenges. In-depth interviews were used to assess the multidimensional characteristics of resiliency that enabled these older adults to deal with adversity. These findings highlight distinct processes reflecting resiliency: (a) Trusting in a higher power, and the importance of (b) living in the present, (c) activating resources, (d) creating community, and (e) doing for others. The author concludes this study with suggestions on how these findings may inform social work practice with older adults.     

Dimensionality of the Chinese Perceived Causes of Poverty Scale: Findings Based on Confirmatory Factor Analyses

The Chinese Perceived Causes of Poverty Scale (CPCPS) was constructed to assess Chinese people’s beliefs about poverty. Four categories of explanations of poverty are covered in this scale: personal problems of poor people, lack of opportunities to escape from poverty, exploitation of poor people, and bad fate. Based on the responses of 1,519 Chinese secondary school students to the CPCPS, confirmatory factor analyses provided support for these four dimensions of the scale. By splitting the total sample into two sub-samples, further analyses showed that the CPCPS was invariant with reference to factor structure (configural invariance), factor loadings (construct-level metric covariance) and factor variances/covariances across different samples. The present findings are generally consistent with the previous findings based on exploratory factor analyses and they provide support for the use of the CPCPS for assessing beliefs about causes of poverty in Chinese people. The preparation for this work was financially supported by Wofoo Foundation.     

Financial Stress,Shaming Experiences and Psychosocial Ill-Health: Studies into the Finances-Shame Model

The aim of the study was to test the Finances-Shame model and its explanatory power regarding the prevalence of psychosocial ill-health. The Finances-Shame model postulates that (i) the greater the financial stress and the more experiences of having been shamed, the greater the risk for psychosocial ill-health, (ii) the lesser the financial stress and the fewer experiences of having been shamed, the lower the risk for psychosocial ill-health. The study was based upon a survey carried out during the period March 2000–May 2000 in a mid-Swedish region (n = 5,666). The response rate was 69%. The results of the study supported the hypotheses.