Clinical librarians,a new tribe in the UK: roles and responsibilities

Aims: The aims of this research were to determine the background, education, training experience, roles and responsibilities of practising Clinical Librarians (CL) in the UK. This paper reports the findings of a survey undertaken in 2007 at the third Clinical Librarian conference. This research builds on research undertaken by Harrison and Sargeant in 2002 and Ward in 2004, and can be considered as part of a longitudinal study of the role of the CL in the UK. Objectives: The objectives of the research were to define and gain a broad understanding of the role of the CL in the UK highlighting similarities and differences amongst the professionals and provide evidence for a baseline of skills and activities for the CL role. The type of sampling used was Judgemental. Results/analysis: Results/analysis detail the skills and activities undertaken by CLs. Searching for information for Clinicians was the activity most frequently undertaken. Developing good relationships with other healthcare professionals was considered essential. Two‐thirds of the respondents held a postgraduate library qualification. Conclusions: Crucially a new model for the UK CL role is derived drawing on the findings of this study and the existing literature.     

CyberConnect: Use the internet with Big6® skills to achieve standards

Conclusions Information seeking strategies can be taught more effectively in collaboration with a classroom teacher in conjunction with a specific assignment. The Big6 Skills(tm) help organize a long-term project into manageable pieces. Using the Internet for research can help students achieve information literacy and NETS standards.     

The Early Literacy Support Programme (ELS) and the blend and clash of national educational policy ideologies in England

In this article we consider the development of key policy issues in England, related to the area of literacy learning and children who are considered to have difficulties in literacy in their early years. We trace the tensions which have arisen since the 1980s between different policies and practices in these areas. These tensions include pressures to raise standards of literacy and to support children with difficulties, and the establishment of a prescribed curriculum for young children. In particular, we focus on the blend and clash of national educational policy ideals in areas related to literacy and children who have been categorised as having ‘special educational needs’, and how these have influenced the development of the Early Literacy Support Programme (ELS) (DfES, 2001 Department for Education and Skills 2001a Early Literacy Support Programme, materials to support teachers working in partnership with teaching assistants London DfES  [Google Scholar]a; 2001 Department for Education and Skills 2001b Early Literacy Support Programme, session materials for teaching assistants London DfES  [Google Scholar]b). This is a programme set up by the Department for Education and Science in England for children in Year 1, aged 5 to 6 years old.     

Prevalence of child sexual abuse reported by a cross-sectional sample of New Zealand women

OBJECTIVE: The objective is to describe the prevalence of child sexual abuse (CSA) among women in New Zealand, document ethnic specific rates, and outline the frequency of abuse experienced and the most commonly identified perpetrators. Associations between CSA and later adverse consequences were also explored. METHODS: Retrospective report from a random sample of 2,855 women aged 18-64 years old in two regions in New Zealand. Face-to-face interviews with one randomly selected woman from each household were conducted. RESULTS: The overall prevalence rates for CSA were 23.5% for women from the urban region and 28.2% from the rural region. In both urban and rural regions, Māori women more frequently reported experiences of CSA than women from European and other ethnic groups (urban: 30.5% vs. 17.0% and rural: 35.1% vs. 20.7%). The median age of onset of the abuse was 9 years, and the median estimated age of the abuser was 30 years. Half of those who experienced CSA reported that it occurred once or twice, 27% a few times, and 23% multiple times. Sole perpetrators were involved in 83% of cases. The majority of cases were perpetrated by a family member, most frequently male. Compared with non-victims, victims of CSA were twice as likely to experience later intimate partner violence and violence by others. CONCLUSIONS: This study reports on a large, population-based sample in an ethnically diverse population in New Zealand, providing the first ethnic-specific rates of CSA available. Findings suggest important priorities for prevention and intervention activities.     

Diversity in Sport? Utilizing the Business Literature to Devise a Comprehensive Framework of Diversity Initiatives

Diversity in sport, especially in relation to those who hold positions of power in interscholastic, intercollegiate, and professional sport, seems to be some what of an oxymoron. There is ample evidence that those who are not similar to the status quo that has long dominated such sport settings (i.e., white, heterosexual, male) are far less represented within positions of power in sport than they are in the population at large (Acosta & Carpenter, 1996; Washington. 1998). Furthermore, some suggest that the maintenance of the status quo goes beyond demographics and that homologous reproduction exists in attitudes. values, and leadership priorities among those in leadership positions in sport (Boutlier & San Giovanni, 1994). Because diversity and valuing diversity have received a greal deal of attention in the corporate world, this paper utilizes the business literature in an attempt to obtain a fresh perspective regarding the lack of diversity in one of the most criticized areas of sport, Division IA intercollegiate athletic organizations. A review of the literature resulted in a framework comprised of three dimensions: 1) noncompliance/compliance. 2) reactive diversity management; and 3) proactive diversity management. The framework is presented and described and its application to kinesiology, physical education. and sport is provided.     

Evaluating college campus closings for the 1980s: A case application of an optimization model

Institutional administrators, faculty, state planners, and legislatures have little analytical basis available to help them cope with the expected excess higher education capacity of the 1980s. Without objective criteria, state planners and legislatures are likely to propose across-the-board reductions even if it were preferable to close some institutions and expand others. This study is a case application of an optimization model to two community colleges in northern Minnesota. Using estimated enrollment demand functions and readily available data on size, quality, and costs, this model is designed to assist policymakers in identifying overbuilt institutions and programs that should be closed. The state's objective in the model is to satisfy specified proportions of enrollment demand with a minimum expenditure of state funds.     

The surprising viability of a simple alternate estimation procedure for construction of large‐scale structural equation measurement models

As part of developing a comprehensive strategy for structural equation model building and assessment, a large‐scale Monte Carlo study of 7,200 covariance matrices sampled from 36 population models was conducted. This study compared maximum likelihood with the much simpler centroid method for the confirmatory factor analysis of multiple‐indicator measurement models. Surprisingly, the contribution of maximum likelihood to model analysis is limited to formal evaluation of the model. No statistically discernible differences were obtained for the bias, standard errors, or mean squared error (MSE) of the estimated factor correlations, and empirically obtained maximum likelihood standard errors for the pattern coefficients were only slightly smaller than their centroid counterparts. Further supporting the recommendations of Anderson and Gerbing (1982), the considerably faster centroid method may have a useful role in the analysis of these models, particularly for the analysis of large models with 50 or more input variables. These results encourage the further development of a comprehensive research paradigm that exploits the relative strengths of both centroid and maximum likelihood as complementary estimation procedures along an integrated exploratory‐confirmatory continuum of model specification, revision, and formal evaluation.