Social Capital and Casino Gambling in U.S. Communities

This paper empirically analyzes the impact that the spread of casino gambling has on social capital in communities throughout the United States. Social capital is a networking process that translates into an individual’s effectiveness in the community and workplace, and binds communities together. Several recent studies have also demonstrated a link between higher levels of social capital and quality of life. In this study, social capital is measured based on six dimensions: trust, civic, volunteerism, group participation, giving, and meeting obligations of family and friends. Using data from the DDB Needham database for the years 1978, 1988, and 1998, regression analysis is conducted on over 300 Metropolitan Statistical Areas throughout the United States to determine the impact that the spread of casino gambling has on social capital. The results of the analysis indicate that the presence of casino gambling significantly reduces social capital when a casino is located within 15 miles of a community, suggesting that a casino’s location influences a community’s quality of life and should be a consideration when deciding on the merits of gambling legalization.     

Mainstream or margin? The current use of family group conferences in child welfare practice in the UK

A decade has passed since family group conferences were initially introduced into the UK by Family Rights Group. Ten years on, this paper examines the extent to which family group conferences have developed and become embedded into current social work practice. Despite the initial interest by social work practitioners and the picture often painted of a growing radical movement, the degree to which family group conferencing has become part of mainstream practice has until now remained fairly anecdotal. A number of difficulties have been identified with implementing the model, including fitting it into an existing system and the challenge it poses to professionals to hand over power. Two surveys, the first undertaken in 1999 and the second in 2001, describe the current use of the model in the UK by Councils with Social Services Responsibilities (Councils). The surveys reveal the areas of practice within which family group conferences are being used, the size and capacity of projects and why some Councils have adopted the model whilst others remain hesitant. It concludes by considering why family group conferences remain on the margins of practice.     

Equality and Income Security in Market Economies: What's Wrong with Insurance?

This article critically assesses the marketization of income security, and identifies links between equality, self‐reliance and welfare reform. Marketization in emergent economies is distinguished by a strong separation between the use of insurance for the mainstream economy and relief for the poor. The impact of this model on the shaping of working lives and on market rigidity is discussed through a review of implications in the areas of subsistence, integrity interests and employment transitions. The broad faith in insurance solutions is argued to derive from a highly abstract approach to welfare reform and to result in a lack of attention to uneven and unstable markets, and to self‐government as a motive to work. Evidence of this emerges from a comparison of insurance in its more ideal form (in Chile) with modified models (Brazil and Korea). In the last two cases a developmental orientation has aided in the provision of broad‐based security. Other factors that appear to enhance the importance of direct assistance are also discussed, including aspects of state administration and labour services that limit work opportunity and individual autonomy in uneven economies. The segregated dual approach to income security is argued to be broadly deficient, but not because insurance is inherently wrong. Countries as diverse as Barbados and Denmark show that more cohesive economies are a better foundation for integrating insurance with general welfare and for income security and individual enterprise broadly conceived.     

Patterns of Social Support in the Middle Childhood to Early Adolescent Transition: Implications for Adjustment

Children's social networks often include close family members, extended family members, and friends, but little is known about interindividual differences in the patterning of support from these sources. In this study, we used person‐oriented analyses to differentiate patterns of support for children undergoing the transition to adolescence. Social network and adjustment data were collected for an ethnically diverse sample of 691 fourth‐ and sixth‐grade children, with a two‐year follow‐up. Cluster analyses identified one pattern of support from both close family members and friends, a second pattern of support from both close and extended family members, and a third pattern of support primarily from close family members alone. Participants receiving support from close family in combination with either extended family or friends were better adjusted than were those without multiple support resources. The results suggest that a meaningful typology of children's social networks can be developed.     

Beyond Symptoms: Crime Prevention And Community Development

Crime and crime prevention are currently ‘hot’ political and social issues. Fuelled by public calls for ‘solutions’, the responses by politicians and planners are typically ‘quick‐fix’ with emphasis on management of particular problems as, and where, they arise. We argue for longer term strategies aimed at dealing with the political, social, economic and cultural factors associated with crime. In doing so, we explore the potential of community development to contribute to crime prevention, particularly ‘community’ or ‘street’ crime and violence. Theoretical and practice intersections between community development and certain crime prevention approaches are identified – notably those which link crime and violence with dis‐empowerment, poverty, inequality, exclusion, the learning of violence within families and communities, and lack of opportunity for children and young people to develop their potential. We conclude that there is plenty of evidence to support the view that community development processes should be used more frequently in crime prevention programmes.     

Validation of a Novel Air Toxic Risk Model with Air Monitoring

Three modeling systems were used to estimate human health risks from air pollution: two versions of MNRiskS (for Minnesota Risk Screening), and the USEPA National Air Toxics Assessment (NATA). MNRiskS is a unique cumulative risk modeling system used to assess risks from multiple air toxics, sources, and pathways on a local to a state‐wide scale. In addition, ambient outdoor air monitoring data were available for estimation of risks and comparison with the modeled estimates of air concentrations. Highest air concentrations and estimated risks were generally found in the Minneapolis‐St. Paul metropolitan area and lowest risks in undeveloped rural areas. Emissions from mobile and area (nonpoint) sources created greater estimated risks than emissions from point sources. Highest cancer risks were via ingestion pathway exposures to dioxins and related compounds. Diesel particles, acrolein, and formaldehyde created the highest estimated inhalation health impacts. Model‐estimated air concentrations were generally highest for NATA and lowest for the AERMOD version of MNRiskS. This validation study showed reasonable agreement between available measurements and model predictions, although results varied among pollutants, and predictions were often lower than measurements. The results increased confidence in identifying pollutants, pathways, geographic areas, sources, and receptors of potential concern, and thus provide a basis for informing pollution reduction strategies and focusing efforts on specific pollutants (diesel particles, acrolein, and formaldehyde), geographic areas (urban centers), and source categories (nonpoint sources). The results heighten concerns about risks from food chain exposures to dioxins and PAHs. Risk estimates were sensitive to variations in methodologies for treating emissions, dispersion, deposition, exposure, and toxicity.     

Correlated and misclassified binary observations in complex surveys

Misclassifications in binary responses have long been a common problem in medical and health surveys. One way to handle misclassifications in clustered or longitudinal data is to incorporate the misclassification model through the generalized estimating equation (GEE) approach. However, existing methods are developed under a non-survey setting and cannot be used directly for complex survey data. We propose a pseudo-GEE method for the analysis of binary survey responses with misclassifications. We focus on cluster sampling and develop analysis strategies for analyzing binary survey responses with different forms of additional information for the misclassification process. The proposed methodology has several attractive features, including simultaneous inferences for both the response model and the association parameters. Finite sample performance of the proposed estimators is evaluated through simulation studies and an application using a real dataset from the Canadian Longitudinal Study on Aging.     

Exploring the Relationship of personality characteristics and spirituality to empathy: Does spirituality add to our understanding?

Although research generally supports a relationship between certain personality dimensions and empathy, there is relatively little empirical information directly examining the relationship between spirituality and empathy. This study sought to explore the relationship of spirituality to empathy, while including relevant personality dimensions. Multidimensional measures of spirituality (Spiritual Involvement and Beliefs Scale) and personality (Big Five Inventory) were used with a sample of both students and practitioners. Students included both undergraduate and graduate social work students from four universities. Practitioners included both social workers and nurses from a local hospital. Results demonstrated that only one spirituality dimension (Spiritual Perspective) was correlated with empathy. While this Spiritual Perspective dimension was not a significant predictor in a regression model, the interaction term of Spiritual Perspective and Agreeableness (personality) was significant in predicting empathy.