Moderators of Stress in Salvadoran Refugees: The Role of Social and Personal Resources1

Refugee research has tended to focus exclusively on the mental health consequences of migration with little attention being devoted to factors that facilitate adjustment. Recently, several cross‐cultural researchers have suggested that the growing literature on moderators of stress may elucidate why some migrants experience adverse effects whereas others remain relatively unscathed. This study examines the moderating effects of social and personal resources on the relationship between stress and subjective well‐being in 60 recently‐arrived and 60 established Salvadoran refugees in Canada. The participants completed a questionnaire that included scales pertaining to stress (life events, hassles, migration‐related events), resources (social support, locus of control, self‐esteem) and well‐being (quality of life, life satisfaction). Varying results were found for both groups. For Recent Refugees, personal resources were found to moderate migration stress. In particular, locus of control buffered the relationships between migration stress and quality of life and life satisfaction, whereas self‐esteem buffered the migration stress‐quality of life relation. For Established Refugees, social support and self‐esteem moderated the relationship between life events and life satisfaction. In addition, social support buffered the effects of hassles on quality of life. The findings underscore the relevance of integrating more firmly the study of refugee adjustment with current developments in stress research.     

Robust estimation for linear regression with asymmetric errors

The authors propose a new class of robust estimators for the parameters of a regression model in which the distribution of the error terms belongs to a class of exponential families including the log‐gamma distribution. These estimates, which are a natural extension of the MM‐estimates for ordinary regression, may combine simultaneously high asymptotic efficiency and a high breakdown point. The authors prove the consistency and derive the asymptotic normal distribution of these estimates. A Monte Carlo study allows them to assess the efficiency and robustness of these estimates for finite samples.     

Injured and Silenced: Working with Workers' Compensation Claimants and Their Families

It is not uncommon for rehabilitation and workers' compensation systems to treat the injured worker as either a passive victim or a mischievous malingerer. Much ofthe literatureregardingrehabilitation ofpeople with chronic pain and soft tissue injury speaks of paralysis and powerlessness as if the injured person is a piece offlotsam buffeted about by the socialforces of WorkCare (and other compensation systems), the employer and the medical legal systems. This paper will review the pertinent literature and demonstrate the lack ofobjective supportfor a ‘blame-thevictim’ attitude. The importance of the injured person playing an active role in his/her rehabilitation will be emphasised through a systematic analysis ofthe impact ofthe WorkCare scheme on the injured worker and their treatment. In this light, a systems based approach to therapy with injured workers and their families will be outlined.     

Accuracy of edge detection methods with local information in speckled imagery

We compare the accuracy of five approaches for contour detection in speckled imagery. Some of these methods take advantage of the statistical properties of speckled data, and all of them employ active contours using B-spline curves. Images obtained with coherent illumination are affected by a noise called speckle, which is inherent to the imaging process. These data have been statistically modeled by a multiplicative model using the G0 distribution, under which regions with different degrees of roughness can be characterized by the value of a parameter. We use this information to find boundaries between regions with different textures. We propose and compare five strategies for boundary detection: three based on the data (maximum discontinuity on raw data, fractal dimension and maximum likelihood) and two based on estimates of the roughness parameter (maximum discontinuity and anisotropic smoothed roughness estimates). In order to compare these strategies, a Monte Carlo experience was performed to assess the accuracy of fitting a curve to a region. The probability of finding the correct edge with less than a specified error is estimated and used to compare the techniques. The two best procedures are then compared in terms of their computational cost and, finally, we show that the maximum likelihood approach on the raw data using the G0 law is the best technique.     

Qualitative cost–benefit evaluation of complex,emergent programs

This paper discusses a methodology used for a qualitative cost–benefit evaluation of a complex, emergent program. Complex, emergent programs, where implementation varies considerably over time and across sites to respond to local needs and opportunities, present challenges to conventional methods for cost–benefit evaluation. Such programs are characterized by: ill-defined boundaries of what constitutes the intervention, and hence the resources used; non-standardized procedures; differing short-term outcomes across projects, even within the same long-term goals; and outcomes that are the result of multiple factors and co-production, making counter-factual approaches to attribution inadequate and the use of standardized outcome measures problematic. The paper discusses the advantages and limitations of this method and its implications for cost–benefit evaluation of complex programs.     

What Is Different about the Profile of the Social Entrepreneur?

In recent years, the term social entrepreneur has become increasingly common in academic and business circles. Social entrepreneurs engage in a variety of activities, but always with the intention of solving social problems. Social entrepreneurs are not merely people who perform acts of charity; they have an evident desire to improve social well‐being and develop projects with long‐term vision. The creation of sustainable social value is a key characteristic that differentiates them from well‐meaning individuals who simply engage in charitable works. There are, however, significant gaps in our understanding of social entrepreneurs and few empirical studies on the subject. This present study attempts to identify the characteristics of more socially oriented entrepreneurs, using sociodemographic variables and the theory of universal values toward work. Analysis of a sample of approximately 400 people shows that more than half of entrepreneurial orientation can be explained through the possession of the values of self‐enhancement (with an inverse relationship in this case), self‐transcendence, and conservation. The theory of universal values has proved extraordinarily useful for studying the characteristics of social entrepreneurs.     

The Natsal-SF Measure of Sexual Function: Comparison of Three Scoring Methods

The Natsal-SF is a psychometrically validated measure of sexual function for use in community health surveys, derived from 17 questions reflecting three components of sexual function. Scoring requires knowledge of complex statistical modeling and, given the methodological complexities, we assessed the validity of two simplified scoring methods calculated using the factor loadings produced when originally modeling the Natsal-SF items. Method 1 uses these factor loadings to three decimal places, while method 2 assigns whole numbers to each item based on the factor loadings. Scores from these simplified methods are compared to the original score using correlation coefficients, by comparing the distributions and the scores of each method in a linear regression model with key variables. We found scores from the simplified methods both correlate highly with the original score, and the distributions of scores closely match. The simplified methods result in different regression coefficients for gender and relationship context but estimate the coefficients of all other variables similarly to the original method. While the Natsal-SF should ideally be scored using latent variable modeling, the simplified methods perform well so can be used in similar contexts, increasing the utility of the Natsal-SF and enabling future studies to measure sexual function more comprehensively.