A RECONSIDERATION OF THE FAMILY-OF-ORIGIN SCALE

Recent studies published in this journal have debated the merits of the Family-of-Origin Scale (Hovestadt, Piercy, Anderson, Cochran, & Fine, 1985), a measure designed to tap the psychological health of one's family of origin. The present study is an investigation of the psychometric properties and overall utility of this measure. Although we agree with much of the recent criticism of the FOS, we suggest that with changes, primarily in interpretation, the instrument remains useful. Taking this measure as an example, we discuss problems inherent in the use of individual self-report data as indicators of family systems constructs.     

Re-engineering the multiple choice question exam for social work

The aim of this study is to devise a multiple choice question (MCQ) exam that provides students with opportunities to engage in a deep approach to learning. Multiple choice assessment is largely unused in social work degree courses in the UK because of associations with techniques such as guessing and rote learning, which do not correspond with deep approaches to learning. Strategies used to enhance opportunities for a deep approach to learning within the MCQ exam used in this study included certainty-based marking (CBM), enhancing the use of formative feedback and giving students responsibility for devising the MCQs. Results show that students use similar levels of deep learning when they completed a MCQ exam compared to those students who completed an essay exam. The deep learning approach for the MCQ exam was, however, less when compared to a different module that used an essay assignment. There is an increasing pressure on Higher Education to provide more robust assessment practices, and findings in this study suggest it may be time for social work tutors to reconsider the role of the MCQ format within the existing range of assessment tools.     

Traditional birth attendant training and local birthing practices in India

Training birth attendants (TBAs) provide essential maternal and infant health care services during delivery and ongoing community care in developing countries. Despite inadequate evidence of relevance and effectiveness of TBA training programmes, there has been a policy shift since the 1990s in that many donor agencies funding TBA training programmes redirected funds to providing skilled attendants during delivery. This study aimed to assess the ways in which a TBA training programme in India has been successful in disseminating evidence-based knowledge on birthing practices. TBAs practicing within 16 villages targeted by training programme initiatives were administered with structured questionnaires. The post training birthing practices of trained (24) and untrained (14) TBAs was compared and birthing practices adopted by women assisted by trained (16) and untrained (9) TBAs was analysed. Positive post training practices were hand washing, use of a clean blade for cutting the cord, immediate breastfeeding and weighing of babies. Nevertheless, the training could be further improved with up to date and evidence-based information and more comprehensive instructions. The findings suggest an integration of local and evidence-based knowledge is needed to improve the training. Raising community awareness of public health measures related to maternal and child health is also recommended.     

Anglo Voting on Nativist Ballot Initiatives: The Partisan Impact of Spatial Proximity to the U.S.‐Mexico Border*

Objective. In this study, we examine how contextual factors influence voting behavior on nativist ballot initiatives using California's Propositions 187 and 227. We argue that spatial proximity to the border is associated with voting behavior on nativist initiatives. Methods. To examine the influence of environmental factors on Anglo voting behavior on nativist ballot initiatives, we utilize California Field Polls, U.S. Census data, and spatially referenced data generated using GIS software. Results. The results indicate that spatial proximity to the border is an important component in individual‐level voting on nativist initiatives and that the impact of proximity to the border on the vote for Propositions 187 and 227 varies as a function of individual‐level partisan affiliation. Conclusions. These findings hold implications for future research regarding the influence of geospatial boundaries and political behavior.     

The Impact of Social Ties on Depressive Symptoms in U.S. and Japanese Elderly

This study examines the effects of social ties (with spouse, children, friends, neighbors, other relatives, and community groups) on depressive symptom levels in U.S. and Japanese adults aged 60 and over. Nationally representative survey data from the United States ( N = 1,419) and Japan ( N = 2,200) indicate that having a spouse, or increased contacts with friends, neighbors and relatives was associated with fewer depressive symptoms in both samples. The effects of spousal presence were significantly larger in the United States than in Japan. The presence of children was associated with fewer depressive symptoms in Japan only, and this effect was significantly stronger among those currently unmarried as opposed to those who are currently married. We discuss these similarities and differences between countries.     

Large-scale Bayesian spatial modelling of air pollution for policy support

The potential effects of air pollution are a major concern both in terms of the environment and in relation to human health. In order to support environmental policy, there is a need for accurate measurements of the concentrations of pollutants at high geographical resolution over large regions. However, within such regions, there are likely to be areas where the monitoring information will be sparse and so methods are required to accurately predict concentrations. Set within a Bayesian framework, models are developed which exploit the relationships between pollution and geographical covariate information, such as land use, climate and transport variables together with spatial structure. Candidate models are compared based on their ability to predict a set of validation sites. The chosen model is used to perform large-scale prediction of nitrogen dioxide at a 1×1 km resolution for the entire EU. The models allow probabilistic statements to be made with regard to the levels of air pollution that might be experienced in each area. When combined with population data, such information can be invaluable in informing policy by indicating areas for which improvements may be given priority.