Understanding neighbourhoods, communities and environments: new approaches for social work research

This article discusses some new ways in which social work research can explore the interaction between neighbourhoods and child and adult wellbeing. The authors note that social work practices are often criticised for taking an individualistic approach and paying too little attention to the service user's environment. The article uses examples of research projects from Chile, the United States of America and Wales, to discuss the use of spatially oriented research methods for understanding neighbourhood factors. Quantitative, qualitative and mixed methods approaches that are particularly appropriate for investigating social work relevant topics are discussed in turn, including quantitative and qualitative uses for geographical information systems (GIS), hierarchical linear modelling (HLM) for analysing spatially clustered data and qualitative mobile interviews. The article continues with a discussion of the strengths and limitations of using spatially orientated research designs in social work research settings and concludes optimistically with suggestions for future directions in this area.     

Changes in coming out milestones across five age cohorts

This quantitative study examined differences in the coming-out process between self-identified lesbian, gay, and bisexual (LGB) participants in five age cohorts. An Internet survey and convenience sampling strategy was used to recruit 1,131 participants (ages 18 to 85). Participants provided demographic information and information about their home environment growing up, completed the Lesbian, Gay, and Bisexual Identity Scale (LGBIS) (Mohr &; Fassinger, 2000 Mohr, J. J., &; Fassinger, R. E. (2000). Measuring dimensions of lesbian and gay male experience. Measurement and Evaluation in Counseling and Development, 33(2), 66–90. [Google Scholar]), and shared ages that they achieved important milestones in the coming-out process. ANCOVA of differences between men and women in the five cohorts on the age that significant milestones were achieved resulted in significant findings for all comparisons (p < .001). In post hoc analysis, 52% of the 450 pairwise comparisons were significant at at least the .05 level. Generally speaking, two significant trends were found in this sample: (a) that the average age of achieving milestones has decreased over time; and (b) that a gender gap in the age of achieving milestones between men and women has disappeared. The current study supports and extends research that suggests a strong connection between social acceptance of LGB people and coming out at younger ages.     

Team‐specific Human Capital and Performance

In this paper we explore the effects of team‐specific human capital (TSHC) on performance. We do so by delineating between two dimensions of TSHC, relating to team members and the team manager, and then exploring how the two dimensions may interact in shaping performance. Employing a 10‐year panel of football teams from the English Premier League we find that team members’ TSHC has a positive and significant effect on team performance, which is positively moderated by managers’ TSHC. Our results attest to the importance of considering both the team member and team manager dimensions of TSHC, and how the performance effects of team members’ TSHC are shaped by managers’ TSHC. Our results stand in stark contrast to the dramatic reduction in managerial tenure that has characterized the English Premier League in recent years.     

Self-Employment and Social Security: A Literature Survey

Over 100 references to recent international literature, legislation, reforms and social security schemes have been compiled. The sources are described, indicating current themes for each. Conclusions are sketched on developing literature coverage.     

The Relationship of Birth Order and Gender with Academic Standing and Substance Use Among Youth in Latin America

Alfred Adler attempted to understand how family affects youth outcomes by considering the order of when a child enters a family (Adler, 1964). Adler's theory posits that birth order formation impacts individuals. We tested Adler's birth order theory using data from a cross-sectional survey of 946 Chilean youths. We examined how birth order and gender are associated with drug use and educational outcomes using three different birth order research models including: (1) Expedient Research, (2) Adler's birth order position, and (3) Family Size theoretical models. Analyses were conducted with structural equation modeling (SEM). We conclude that birth order has an important relationship with substance use outcomes for youth but has differing effects for educational achievement across both birth order status and gender.     

Social Anxiety in Obese Youth in Treatment Setting

The aim of this study was to determine the prevalence of social anxiety in obese children treated in a weight management clinic. We hypothesized that social anxiety would positively correlate with obesity, and that “extremely obese” patients would have significantly higher rates of social anxiety when compared to “obese” patients. Information was collected at a multidisciplinary treatment clinic for obese youth during the first clinic visit. The social anxiety scale was administered (including parent-report and self-report scales for both elementary and adolescent versions) and demographic data was obtained. Social anxiety was found to be significantly positively correlated with BMI percentile. In addition, “extremely obese” patients had significantly higher social anxiety scores than “obese” youth at least for elementary-age youth. Trends in gender differences and racial differences in this obese pediatric clinical sample were consistent with results found in community samples. Social anxiety and obesity were found to be positively correlated in this pediatric clinic-based population. For elementary-age patients, “extremely obese” patients were at greater risk than “obese patients” for social anxiety and its various symptoms—fear of negative evaluation, social avoidance/distress in new situations, and social avoidance/distress in general. Results for adolescents were less clear. Clinical implications of these results were discussed. Limitations of this study, and directions for future research were also discussed.     

Bayesian Modeling of Measurement Errors and Pesticide Concentration in Dietary Risk Assessments

We propose new models for dealing with various sources of variability and uncertainty that influence risk assessments for dietary exposure. The uncertain or random variables involved can interact in complex ways, and the focus is on methodology for integrating their effects and on assessing the relative importance of including different uncertainty model components in the calculation of dietary exposures to contaminants, such as pesticide residues. The combined effect is reflected in the final inferences about the population of residues and subsequent exposure assessments. In particular, we show how measurement uncertainty can have a significant impact on results and discuss novel statistical options for modeling this uncertainty. The effect of measurement error is often ignored, perhaps due to the laboratory process conforming to the relevant international standards, for example, or is treated in an  ad hoc  way. These issues are common to many dietary risk analysis problems, and the methods could be applied to any food and chemical of interest. An example is presented using data on carbendazim in apples and consumption surveys of toddlers.