K-ABC content bias: Comparisons between Mexican American and White children

Content (item) bias on the Mental Processing Scales and the Achievement Scale of the Kaufman Assessment Battery for Children (K-ABC) was investigated with 100 Mexican American and 100 White fifth- and sixth-grade boys and girls. All children were English-speaking and from similar socioeconomic status (SES) backgrounds. An item-group (partial correlation) method that controlled for age, sex, and ability was used to examine bias. On the Mental Processing Scales, 17 (14%) of 120 items were found to be biased—the strong majority against the Mexican American children. On the Achievement Scale, it was observed that 58 (63%) of 92 K-ABC items were biased—all against the Mexican American sample. This latter finding is discussed in the context of possible differences in learning opportunities (language based, SES based, and school segregation) experienced by the two ethnic groups.     

Cognitive and Social Structure of the Elite Collaboration Network of Astrophysics: A Case Study on Shifting Network Structures

Scientific collaboration can only be understood along the epistemic and cognitive grounding of scientific disciplines. New scientific discoveries in astrophysics led to a major restructuring of the elite network of astrophysics. To study the interplay of the epistemic grounding and the social network structure of a discipline, a mixed-methods approach is necessary. It combines scientometrics, quantitative network analysis and visualization tools with a qualitative network analysis approach. The centre of the international collaboration network of astrophysics is demarcated by identifying the 225 most productive astrophysicists. For the years 1998?C1999 and 2001?C2006 four co-authorship networks are constructed comprehending each a two year period. A visualization of the longitudinal network data gives first hints on the structural development of the network. The network of 2005?C2006 is analyzed in depth. Based on cohesion analysis tools for network analysis, two main cores and three smaller ones are identified. Scientists in each core and additionally in structurally interesting positions are identified and 17 qualitative expert interviews are conducted with them. The visualization of the network of 2005?C2006 is used in the interviews as a stimulus for the interviewees. An analysis of the three most often used keywords of the 225 astrophysicists is included and combined with the other data. The triangulation of these approaches shows that major epistemic changes in astrophysics, e.g. the discovery of the accelerating expansion of the universe, together with technical and organizational innovations, leads to a restructuring of the network of the discipline. The importance of a combination of qualitative and quantitative network analysis tools for the understanding of the interplay of cognitive and social structure in the sociology of science is substantiated.     

Optimizing recovery to support multi-evening cycling competition performance

Road criterium and track bicycle racing occur at high speeds, demand repeated high power outputs, last 10–90?min, and offer little chance for recovery after the event. Consecutive evenings of criterium and track racing are respectively known as speed-week or six-day events and take place in evening hours over the course of a week. Given the schedule and timing of these competitions, return to homeostasis can be compromised. No recommendations exist on how to optimize recovery for cyclists participating in these types of repeated evening competitions. Criterium and track cyclists spend considerable time, near and above the individual lactate threshold and therefore mostly utilize carbohydrate as their chief energy substrate. Henceforth, pre – and post-race nutrition and hydration is examined and recommendations are brought forward for carbohydrate, protein, and fluid intake. As evening high-intensity exercise perturbs sleep, strategies to optimize sleep are discussed and recommendations for an optimal sleep environment are given. Active recovery is examined, and the benefits of a short duration low intensity exercise reviewed. Passive recovery methods such as compression garments and cold water immersion are recommended, while evidence for massage, pneumatic compression devices, and neuromuscular electrical stimulation is still lacking. Optimizing recovery strategies will facilitate a return to the resting state following strenuous night competition.     

Sport and civil society in the Nordic region

Abstract

This paper examines the key elements within the relationships of sport and civil society in Scandinavia. The analysis combines themes and developments in Nordic sport and civil society, such as the role of the welfare state and the impacts of neoliberalism, with consideration of specific national experiences, especially in Finland. The discussion has four main parts. First, we set out the principal features of the ‘Nordic model’ of society, and how it shapes sport and civil society relations. Second, we advance a Finnish case study, examining the historical connections of three sectors to the national sport culture. Third, we consider how, in recent decades, the Nordic model has encountered and sought to respond to neoliberalism and globalization processes. Finally, we explore how Nordic societies have sought to influence globalization processes and ‘global civil society’ through sport, specifically through taking lead roles within the transnational ‘sport for development and peace’ sector.     

Considerations for the use of functional principal components analysis in sports biomechanics: examples from on-water rowing

The proliferation of new biomechanical technology in laboratory and field settings facilitates the capture of data-sets consisting of complex time-series. An understanding of the appropriate statistical approaches for analysing and interpreting these data-sets is required and the functional data analysis (FDA) family of statistical techniques has emerged in the biomechanical literature. Given the use of FDA is currently in its infancy with biomechanical data, this paper will form the first of a two part series aiming to address practical issues surrounding the application of FDA techniques in biomechanics. This work focuses on functional principal components analysis (fPCA), which is explored using existing literature and sample data from an on-water rowing database. In particular methodological considerations for the implementation of fPCA such as temporal normalisation of data, removal of unwanted forms of variation in a data-set and documented methods for preserving the original temporal properties within a set of curves are explored in detail as a part of this review. Limitations and strengths of the technique are outlined and recommendations are provided to encourage the appropriate use of fPCA within the field of applied sports biomechanics.