Integrating Intuition and Information for the Development of Coaching Expertise

Despite significant empirical work in the sport coaching domain, there remains a paucity of evidence to inform practice in high-performance sport coaching. As a result, there are gaps in our understanding regarding coaching expertise at different levels of athlete performance. A significantly underutilized approach in coaching research is Cognitive Task Analysis and it's knowledge elicitation tools. Addressing these concerns, here we utilize applied Cognitive Task Analysis and a semi-structured interview protocol to elicit the cognitive challenges and use of knowledge by a group of N = 7 high-performance endurance sport coaches from a single national governing body. Analysis suggested prominent and ongoing challenges in day-to-day practice which, in turn require significant adaptive skill. In addition, results show how coaches used knowledge flexibly and conditionally to meet the demands of their role. A novel finding being the identification of the use of curriculum knowledge to mentally project the needs of athletes. The findings suggest opportunities for utilizing Cognitive Task Analysis to investigate the cognitive challenges of sport coaching and enhance coach development practice.

Age-related differences and the role of augmented visual feedback in learning a bimanual coordination pattern

Radiological diagnosis in general and in emergency and trauma setting demands quick decision-making under conditions of often substantial uncertainty, in which the availability of clinical information, and/or of prior imaging examinations, and/or the use of proper techniques, is often highly variable. Therefore, all such decisions have inherent error rates. While diagnostic errors are responsible for only approximately 10–15% of potentially preventable deaths in trauma center audits, as selective non-operative management has become increasingly feasible after abdominopelvic trauma, the accurate diagnosis of injuries requiring surgical or interventional management has become more imperative. As such, injuries missed on multi-detector computed tomography (MDCT) have the potential to result in more dire consequences. Radiologists are key members of the multidisciplinary trauma team, and play a critical role in not only diagnosing acute, potentially life-threatening injuries, but also in directing the clinical decision-making process toward appropriate surgical, interventional, or conservative management. Radiological errors in the emergency setting follow predictable patterns, including satisfaction of search errors and cognitive biases. By analyzing these patterns, individual and system-wide measures may be enacted to help prevent similar errors from being made in the future.

Aim: The retail investors of the Indian investment landscape are found to base their investment decisions on several factors that may not be entirely attributed to price movement and information availability. Various studies have been conducted to capture these behavioral attributes that may invariably have an influencing effect either knowingly or unknowingly on the investors. This study aims to identify these behavioral biases influencing investor’s decision-making when they are active participants in the Indian Derivative market. Methodology: The study is conducted using primary data over 200 derivative investors within the northern Indian subcontinent aged between 18 years to 50 years. A questionnaire has been adapted from the defined scales from literature and uses the Likert scale to measure the behavioral patterns of investors. A cross-sectional survey method is used to distribute the questionnaire both online and offline. Factor analysis is then employed to identify the latent variables impacting the decision-making. Results: The sample under study generated six factors that have a significant influence on decision-making. These factors include Herding bias, Overconfidence bias, Risk Aversion, Market Responsiveness, Information processing Style and Information Reliance. All these factors have a significant influence on the investors buying and selling behavior in the Indian derivative market. A reliability test was run to assess the reliability of the factors where the Cronbach alpha was found to be above 0.8 for all the factors which shows a strong internal coherence among the factors.