Waste Reduction Strategies: Factors Affecting Talent Wastage and the Efficacy of Talent Selection in Sport

Johnston, Kathryn; Baker, Joseph

doi:10.3389/fpsyg.2019.02925

Cited by 51 publications

(54 citation statements)

References 120 publications

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“…Biological-psychological-social development influences talent identification decisions and the efficacy of such decisions (Johnston and Baker, 2019). Therefore, without an understanding of pediatric science and the processes of biological-psychologicalsocial development in children and adolescents, coaches and practitioners are unable to make informed decisions in relation to athlete performance and potential (Gonçalves et al, 2012).…”

Section: Possible Solutionsmentioning

confidence: 99%

Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport

2020

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The modern-day landscape of Olympic and Professional sport is arguably more competitive than ever. One consequence of this is the increased focus on identifying and developing early athletic talent. In this paper, we highlight key challenges associated with talent (athlete) identification and development and propose possible solutions that could be considered by research and practice. The first challenge focuses on clarifying the purposes of talent identification initiatives such as defining what talent is and how its meaning might evolve over time. Challenge two centers on ways to best identify, select and develop talent, including issues with different approaches to identification, the need to understand the impact of development and the need to have appropriate resourcing in the system to support continued development of knowledge. Finally, we discuss two challenges in relation to the 'healthiness' of talent identification and development. The first examines whether a talent identification and development system is 'healthy' for athletes while the second focuses on how sport stakeholders could discourage the apparent trend toward early specialization in youth sport settings. Whilst this paper discusses the research in relation to these challenges, we propose multiple possible solutions that researchers and practitioners could consider for optimizing their approach to talent identification and development. In summary, talent is a complex and largely misunderstood phenomenon lacking robust research evidence, and given concerns that it is potentially unhealthy, talent identification and selection at younger ages is not recommended.

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Section: Possible Solutionsmentioning

confidence: 99%

Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport

2020

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“…Examples of such biases include confirmation bias, 35 primacy effect, 36,37 recency bias, 38,39 among many more. All of which have been linked to poor talent evaluation by coaches and experts in various sports settings 40‐43 …”

Section: Discussionmentioning

confidence: 99%

Accuracy from the slot: Evaluating draft selections in the National Hockey League

Farah

Baker

2020

Scandinavian Med Sci Sports

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The National Hockey League (NHL) entry draft is a process wherein teams make sequential selections from a pool of eligible players. Given the young age of prospects, drafting requires long‐term forecasting of future performance under a high level of uncertainty. This study assessed the selection accuracy across all seven rounds of the draft, as well as between lottery and non‐lottery picks within the first round. NHL performance data were collected for all forwards (N = 956) and defensemen (N = 558) drafted between 2007 and 2014. In both groups, Kruskal‐Wallis H tests conducted between draft rounds revealed a significant, relatively strong, overall effect of draft order on future performance. However, Mann‐Whitney U post‐hoc tests showed projecting future performance of forwards was only accurate in the first two rounds, while for defensemen, selection was only accurate in the first round. Moreover, forwards selected with lottery picks in the first round outperformed their non‐lottery peers offensively but not defensively. As for defensemen, those selected with lottery picks did not differ from their non‐lottery peers in offensive or defensive performance. Our findings highlight substantial inaccuracies in the NHL draft, particularly past the first two rounds of selection. We offer multiple possible explanations driving such inaccuracies that could form the basis for further work in this area.

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“…Strong rules satisfy both the minimum support threshold (Minsup) and minimum confidence threshold (Minconf) rules ( Watkins et al, 2020 ). Moreover, support is an important measure ( Johnston and Baker, 2020 ). Since the rule with low support may emerge by chance, it rarely occurs in the entire dataset.…”

Section: Data Mining and Apriori Algorithm For Association Rule Analymentioning

confidence: 99%

Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules

Tang

et al. 2021

Front. Psychol.

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This study explored the global cyberspace security issues, with the purpose of breaking the stereotype of people’s cognition of cyberspace problems, which reflects the relationship between interdependence and association. Based on the Apriori algorithm in association rules, a total of 181 strong rules were mined from 40 target websites and 56,096 web pages were associated with global cyberspace security. Moreover, this study analyzed support, confidence, promotion, leverage, and reliability to achieve comprehensive coverage of data. A total of 15,661 sites mentioned cyberspace security-related words from the total sample of 22,493 professional websites, accounting for 69.6%, while only 735 sites mentioned cyberspace security-related words from the total sample of 33,603 non-professional sites, accounting for 2%. Due to restrictions of language, the number of samples of target professional websites and non-target websites is limited. Meanwhile, the number of selections of strong rules is not satisfactory. Nowadays, the cores of global cyberspace security issues include internet sovereignty, cyberspace security, cyber attack, cyber crime, data leakage, and data protection.

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Waste Reduction Strategies: Factors Affecting Talent Wastage and the Efficacy of Talent Selection in Sport

Cited by 51 publications

References 120 publications

Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport

Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport

Accuracy from the slot: Evaluating draft selections in the National Hockey League

Apriori Algorithm for the Data Mining of Global Cyberspace Security Issues for Human Participatory Based on Association Rules

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