Influence of National Qualifications Frameworks in Conceptualising Feedback to Students

Social work students in Britain receive feedback on a range of academic and practice issues as they progress through qualifying courses, however the way in which feedback differs to reflect the increasing complexity of learning as the course progresses is unclear. There is little, if any, guidance at a national level and the most widely known documents that provide information about the hierarchy of qualifications are the National Qualifications Frameworks (NQFs). Despite the widespread acceptance of NQFs there is little evidence supporting their use in professional areas such as social work. This study uses a documentary analysis to critique the Scottish Credit and Qualifications Framework (SCQF). The findings suggest that there are fundamental difficulties with the SCQF and its value in helping academics to better conceptualise feedback that reflects the increasing complexity of learning throughout the social work qualifying course. Whilst the SCQF is specific to a Scottish context, it is suggested that the inherent limitations and dominance of a neo-liberal ideology are common to other NQFs. It may be necessary to create the conditions where academics and students are able to discuss and debate the merits of NQFs and their implementation in social work qualifying courses.     

Standard Errors for Elasticities: A Comparison of Bootstrap and Asymptotic Standard Errors

This article compares two methods of deriving standard errors for elasticities in a linear expenditure demand system with first-order autoregressive errors. The first is the ordinary Taylor series method and the second is Efron's bootstrap. In an example problem, these two methods yielded similar values for the standard errors, with the exception of the income elasticity standard errors, for which the asymptotic standard errors were apparently too large by a factor of two.     

Infant feeding and asthma: is breast milk best?

Asthma is the most commonly occurring chronic childhood disease in the United States and is the leading cause of hospitalization and missed school days. In this article, I examine whether differences in asthma diagnosis can be attributed to differences in breastfeeding incidence and duration. Using data from the Fragile Families and Child Wellbeing Survey, I examine whether unobserved heterogeneity in the breastfeeding decision plays a role in childhood asthma propensity. I use the recursive bivariate probit framework to account for potential endogeneity by modeling the breastfeeding and asthma equations jointly. Results indicate that after accounting for the unobserved heterogeneity found in infant feeding practices, breastfeeding leads to lower rates of asthma diagnosis in children at age one. Breastfeeding for at least 3 months appears to have the strongest effects in children diagnosed at age one. However, there are no discernible effects of breastfeeding on the incidence of asthma by age three. These results indicate that breastfeeding can result in lower rates of wheezing and better respiratory health in small children.     

Domestic Violence and Children with Disabilities: Working Towards Enhancing Social Work Practice

Abstract

Globally, domestic violence, where a family member, partner or ex-partner attempts to physically, sexually or psychologically dominate or harm the other, is now recognised as one of the most entrenched and pervasive forms of violence in society. Nevertheless, internationally and in Australia, the occurrence of domestic and other forms of violence in families affecting children with a disability is poorly understood. The present article examines the information available on domestic violence and children with a disability. Through the use of case studies drawn from a large disability organisation in New South Wales, Australia, practice issues with families where domestic violence affects a child with a disability are drawn out for social workers to consider. These considerations are designed to enhance practice in this field.     

The impact of timely information on organisational performance in a supply chain

Information produced by ERP systems is termed JIT-information, since it is provided at the right time in the right place with a minimum of waste. The JIT-information construct is defined and described and a measurement scale is developed. A JIT-information performance model is proposed and assessed using a structural equation modelling methodology. The results indicate that the model fits the data well: (1) supply chain management strategy positively impacts JIT-information, (2) JIT-information directly impacts both logistics and organisational performance, and (3) logistics performance directly impacts organisational performance.     

EVALUATION OF MULTIATTRIBUTE ALTERNATIVES: ADDITIVE VERSUS CONFIGURAL UTILITY MEASUREMENT

A model for measuring subjective evaluations of multiple component alternatives is developed and tested in the context of business students' evaluations of professorial candidates for tenured positions. The model is based on a type of ANOVA formulation in which the response variable need only be rank ordered. That is, arbitrary monotonic functions of subjective responses can be made that optimize a well-defined badness of fit measure. Application of the model indicates that metric analysis of the response data can exhibit a large number of configural (interaction) effects that may be a reflection of how subjects use rating scales rather than anything more basic in their combination of multiple component cues. Implications of these findings for the modeling of multiple component choices are discussed.     

Effects of Posture on Newborn Crying

Acoustic properties of the cries of 14 infants were evaluated at both 2 and 4 weeks of age when the infants were lying in a supine position and when they were sitting upright in a car seat. In the upright position, infants' breathing was more rapid and showed less individual variability. The fundamental frequency of their cries increased in the upright position, but this increase was likely attributable to increased arousal or distress, not to posture per se. There were no differences in acoustic measures related to vocal tract shape in the supine versus upright positions. Across age, there was a decline in fundamental frequency. Individual difference stability of most acoustic measures was moderate to high. The importance of postural effects on the acoustic features of cries was discussed.     

The Legal Status of Turks in Germany

Turks in Germany constitute the single largest non-national group living in the member states of the European Union. This essay examines the legal dimensions of their entry, residence and integration in Germany during the 1990s up to 2002. The evidence shows that, despite long-term settlement patterns, Turks in Germany have not achieved a high level of formal inclusion. However, recent policy reforms have already gone some way to improving their situation, and the impact of planned reforms should equally ensure that this process continues in the future.     

Personal Identity and Civic Responsibility: "Rising to the Occasion" Narratives and Generativity in Community Action Student Interns

Twenty–two students in a community action certificate program supplied "rising to the occasion" narratives during summer–long internships. They also filled out measures of generativity. Twenty–one students in an international studies certificate program that also included a summer internship served as a comparison group. Both groups reported equal personal growth from rising to the occasion experiences and no differences on measures of optimism, self–esteem or generativity. However, the community action students linked their personal growth experiences to future community service; a regression analysis also revealed that the best predictor of their stress–related growth was their level of generative concern. No comparable links emerged for the comparison group. Implications for cultivating connections between personal identity and civic responsibility through service–learning are discussed.     

Structure and uncertainty: Graphical models for understanding complex data

Statistics is fundamental to making sense of the complexity of modern science. From the micro-level of the human genome to the macro-level of the universe, scientists need statistical models to help them extract meaning from empirical observations. Graphical models have been used across a wide variety of disciplines for building multivariate probabilistic models to represent, and draw inference about, complex phenomena. Nicky Best and Peter Green explain the ideas behind graphical models and show how they can be used to help tackle the challenges of complex statistical problems.