Development and piloting of a mother and child intervention to promote resilience in young children of HIV-infected mothers in South Africa

This paper describes the process of developing a parallel intervention for HIV-positive mothers and their young children (6-10 years) with a view to strengthening the relationship between them. Strong mother-child relationships can contribute to enhanced psychological resilience in children. The intervention was developed through action research, involving a situation analysis based on focus group discussions; intervention planning, piloting the intervention and a formative evaluation of the intervention. Participants supplied feedback regarding the value of the intervention in mother-child relationships. The findings obtained from the formative evaluation were used to refine the intervention. Two parallel programmes for mothers and children (15 sessions each) were followed by 10 joint sessions. The intervention for mothers focused on maternal mental health and the strengthening of their capacity to protect and care for their young children. The intervention for children addressed the development of their self-esteem, interpersonal relationships and survival skills. The formative evaluation provided evidence of good participation, support and group cohesion. Qualitative feedback indicated that the activities stimulated mother-child interaction. A similar intervention can easily be applied elsewhere using the detailed manual. The insights gained and lessons learnt related to mother and child interaction within an HIV-context that emerged from this research, can be valuable in other settings, both in Sub-Saharan Africa and elsewhere.     

The Portuguese Version of the Hartford Geriatric Social Work Competency Scale II – Assessment Subscale: Factor Structure and Psychometric Properties

The current study aimed to test the fit of the Portuguese version of the Hartford Geriatric Social Work Competency Scale II – Assessment subscale (GSWCS-A) and explore its factor structure and psychometric properties in a sample of 534 social workers working in the gerontology field. Confirmatory factor analysis showed that all items presented good factor loadings and that the single-component model fit the data well. The GSWCS-A showed very good internal consistency. Despite the existence of different theoretical perspectives on Social Work, which frame the required competencies for professional practice, the GSWCS-A Portuguese version revealed similitudes with studies conducted in other countries. Nevertheless, the different factor structures (single-component vs. bi-factorial) may indicate that different competencies are being emphasised in terms of professional training. To sum, the GSWCS-A may be a short and useful self-report instrument for addressing social workers’ assessment competencies in the gerontology setting.     

Resident-to-resident elder mistreatment (R-REM): a study in residential structures for elderly people (ERI) in Portugal

This study explores patterns of resident-to-resident elder mistreatment (R-REM) in Portuguese Residential Structures for Elderly People (ERI: Estruturas Residenciais para Idosos). Results display a serious situation of R-REM, which occurs in different patterns.     

Fragility index of block tailed vectors

Financial crises are a recurrent phenomenon with important effects on the real economy. The financial system is inherently fragile and it is therefore of great importance to be able to measure and characterize its systemic stability. Multivariate extreme value theory provide us such a framework through the fragility index ( 11, 7 and 8). Here we generalize this concept and contribute to the modeling of the stability of a stochastic system divided into blocks. We will find several relations with well-known tail dependence measures in the literature, which will provide us immediate estimators. We end with an application to financial data.     

Extending the inference function for augmented margins method to implement trivariate Clayton copula-based SUR Tobit models

Abstract

In this paper, we perform the analysis of the SUR Tobit model for three left-censored dependent variables by modeling its nonlinear dependence structure through the one-parameter Clayton copula. For unbiased parameter estimation, we propose an extension of the Inference Function for Augmented Margins (IFAM) method to the trivariate case. The interval estimation for the model parameters using resampling procedures is also discussed. We perform simulation and empirical studies, whose satisfactory results indicate the good performance of the proposed model and methods. Our procedure is illustrated using real data on consumption of food items (salad dressings, lettuce, tomato) by Americans.     

Hurricane Isaac: A Longitudinal Analysis of Storm Characteristics and Power Outage Risk

In August 2012, Hurricane Isaac, a Category 1 hurricane at landfall, caused extensive power outages in Louisiana. The storm brought high winds, storm surge, and flooding to Louisiana, and power outages were widespread and prolonged. Hourly power outage data for the state of Louisiana were collected during the storm and analyzed. This analysis included correlation of hourly power outage figures by zip code with storm conditions including wind, rainfall, and storm surge using a nonparametric ensemble data mining approach. Results were analyzed to understand how correlation of power outages with storm conditions differed geographically within the state. This analysis provided insight on how rainfall and storm surge, along with wind, contribute to power outages in hurricanes. By conducting a longitudinal study of outages at the zip code level, we were able to gain insight into the causal drivers of power outages during hurricanes. Our analysis showed that the statistical importance of storm characteristic covariates to power outages varies geographically. For Hurricane Isaac, wind speed, precipitation, and previous outages generally had high importance, whereas storm surge had lower importance, even in zip codes that experienced significant surge. The results of this analysis can inform the development of power outage forecasting models, which often focus strictly on wind‐related covariates. Our study of Hurricane Isaac indicates that inclusion of other covariates, particularly precipitation, may improve model accuracy and robustness across a range of storm conditions and geography.     

Developing the eclectic paradigm as a model of global strategy: An application to the impact of the Sep. 11 terrorist attacks on MNE performance levels

We expand the eclectic paradigm into a model of global strategic management and apply the latter to the analysis of the impact of the Sep. 11th terrorist attacks on the MNEs' performance to investigate the effect of exogenous shocks on the global strategies of firms. First, we integrate MNE resources and capabilities, strategy, and structure with the eclectic paradigm. Then we focus specifically on location attractiveness to examine how MNEs adjust internal factors with the exogenous distortions caused by an extreme environmental shock. We suggest that this adjustment is carried out at four levels: resources and capabilities, strategy, structure, and choice of location which jointly determine MNEs' performance. Although we restrict the application of this model of global strategic management to the post-Sep. 11th, our model may be applied to other extreme events that change, at least partly, the worldwide, or regional, economic order.