Relative age and maturation selection biases in academy football

ABSTRACT

This study examined the simultaneous effects of relative age and biological maturity status upon player selection in an English professional soccer academy. A total of 202 players from the U9 to U16 age groups, over an eight-year period (total of 566 observations), had their relative age (birth quarter) and biological maturity (categorised as late, on-time or early maturing based upon the Khamis-Roche method of percentage of predicted adult height at time of observation) recorded. Players born in the first birth quarter of the year (54.8%) were over-represented across all age groups. A selection bias towards players advanced in maturity status for chronological age emerged in U12 players and increased with age; 0% of players in the U15 and U16 age group were categorised as late maturing. A clear maturity selection bias for early maturing players was, however, only apparent when the least conservative criterion for estimating maturity status was applied (53.8% early and 1.9% late maturing in the U16 age group). Professional football academies need to recognise relative age and maturation as independent constructs that exist and operate independently. Thus, separate strategies should perhaps be designed to address the respective selection biases, to better identify, retain and develop players.     

Why Measure Behaviour?

The upsurge in the use of behavioural change techniques with children in education and residential settings has not always involved an equally strong commitment to behavioural measurement (by which is meant quantitative data collection relating to latency, duration or, most often, frequency of the target behaviour in question). This paper outlines several advantages, other than effectiveness evaluation, which accrue from behavioural measurement; in relation to (a) deciding whether to change behaviour, (b) deciding the type of intervention required, (c) assessment of caregiver skills and commitment, (d) therapeutic effects, (e) reinforcement, (f) analysis of critical variables and (g) analysis of caregiver attitudes and behaviour. Case examples are included throughout.     

Emotional duplex in the nation (de-)branding: a case study of China and Shen Yun Performing Arts

The intricate connection between nation branding efforts and the emotions they evoke has been inadequately addressed in existing branding and international relations literature. I propose a heuristic account that theorizes this relationship. By tracing the branding efforts made by China and the de-branding efforts made by Shen Yun Performing Arts (a troupe established by Falun Gong practitioners), I argue that these “authentic” Chinese cultural presentations elicit certain emotions. The emotional works are different for Chinese domestic audiences and for international audiences. I propose a duplex model to account for the emotional processes in these two groups of audiences. Four operating emotions—pride, guilt, admiration, and anger—solidify into various political attitudes toward China. Finally, I discuss the contributions of this duplex model and its further complications.     

The relationship between game-based performance indicators and developmental level in junior Australian football: Implications for coaching

Identifying performance differences between juniors at different stages of a talent pathway may assist with the development of prospective talent. This study investigated the relationship between game-based performance indicators and developmental level in junior Australian football (AF). Players were categorised into 2 groups according to developmental level; U16 and U18. Physical and technical skill performance indicators were collated for all U16 (n = 200) and U18 (n = 244) participants of their respective 2014 national championships. Data were acquired from all 28 games (12 U16, 16 U18); resulting in 1360 player observations (568 U16, 792 U18). Microtechnology and a commercial provider facilitated the quantification of 15 performance indicators. Generalised estimating equations (GEEs) modelled the extent to which these performance indicators were associated with developmental level. The GEE model revealed that “contested marks” and “contested possessions” had the strongest association with the U16 level, while “total marks” and “clearances” had the strongest association with the U18 level. The remaining performance indicators were not developmentally discriminant. These results indicate that there are distinctive features of gameplay more associated with the U16 and U18 levels in AF. Coaches may wish to consider these results when constructing training drills designed to minimise developmental gaps.     

On the Evolution of Colleges and Universities

Tertiary Education and Management - Generating knowledge for various constituents and for society has always defined colleges and universities. Recent decades, though, have witnessed shifts in...     

Extralocating Faculty in Technical Communication

Tenure-line faculty—teaching onsite or online—are typically perceived as resident scholars and instructors who live local to their institutions. A geographically diversified tenure-line faculty, however, could also serve the education of students by bringing a wider array of influences and opportunities to the online classroom. Programs in technical communication must examine how to incorporate extralocated faculty and how to prepare willing and eligible faculty for extralocated teaching, research, and service.     

A model for using a concept inventory as a tool for students' assessment and faculty professional development

This essay describes how the use of a concept inventory has enhanced professional development and curriculum reform efforts of a faculty teaching community. The Host Pathogen Interactions (HPI) teaching team is composed of research and teaching faculty with expertise in HPI who share the goal of improving the learning experience of students in nine linked undergraduate microbiology courses. To support evidence-based curriculum reform, we administered our HPI Concept Inventory as a pre- and postsurvey to approximately 400 students each year since 2006. The resulting data include student scores as well as their open-ended explanations for distractor choices. The data have enabled us to address curriculum reform goals of 1) reconciling student learning with our expectations, 2) correlating student learning with background variables, 3) understanding student learning across institutions, 4) measuring the effect of teaching techniques on student learning, and 5) demonstrating how our courses collectively form a learning progression. The analysis of the concept inventory data has anchored and deepened the team's discussions of student learning. Reading and discussing students' responses revealed the gap between our understanding and the students' understanding. We provide evidence to support the concept inventory as a tool for assessing student understanding of HPI concepts and faculty development.