Applying Sport Scientist Roles Within Organizations

Gleason, Benjamin H.; Suchomel, Timothy J.; Brewer, Clive; McMahon, Eric; Lis, Ryan P.; Stone, Michael H.

doi:10.1519/ssc.0000000000000810

Cited by 2 publications

(1 citation statement)

References 41 publications

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“…Basketball is one of the most popular global sports across different age groups and sexes with numerous competitions played at different levels in several countries ( Ferioli et al, 2022 ). At higher playing levels, such as in semi-professional, professional, and representative contexts, teams are more likely to hire dedicated interdisciplinary support staff given their increased budgets and emphasis on performance-driven outcomes ( Gleason et al, 2024a ). The support staff predominantly aims to optimize player health and performance through observation, analysis, and management of players, as well as input in selection, development, training, and recovery practices ( Gleason et al, 2024b ).…”

Section: Introductionmentioning

confidence: 99%

The reliability and discriminant validity of physical, technical, and perceptual-physiological measures during a game-specific basketball activity simulation protocol

Ferioli,

Alcaraz,

Freitas

et al. 2024

Front. Psychol.

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Activity simulation protocols offer useful applications in research and practice; however, the specificity of such protocols to basketball game-play is currently lacking. Consequently, this study aimed to develop a game-specific basketball activity simulation protocol representative of typical playing durations and assess its reliability and discriminant validity. The simulation protocol was modified from an original version (i.e., Basketball Exercise Simulation Test) to incorporate regular breaks indicative of time-outs, free-throws, and substitutions. Twelve competitive male and female adult basketball players competing in the fourth or fifth Spanish basketball division underwent repeated trials of the simulation protocol (min. 4 to max. 14 days apart) for reliability analyses. In turn, 13 competitive male (fifth division), 9 competitive female (fourth division), and 13 recreational male adult basketball players completed the simulation protocol to assess discriminant validity via comparisons between sexes (competitive players) and playing levels (males). A range of physical, technical, and perceptual-physiological variables were collected during and following the simulation protocol. Several physical and heart rate variables displayed the strongest reliability (intraclass correlation coefficient [ICC] = 0.72–0.96; coefficient of variation [CV] = 1.78–6.75%), with physical decrement, technical, blood lactate concentration, and rating of perceived exertion (RPE) variables having the weakest (ICC = 0.52–0.75; CV = 10.34–30.85%). Regarding discriminant analyses between sexes, males demonstrated significantly greater physical outputs in several variables and lower RPE compared to females (p < 0.05, moderate-to-large effects). Comparisons between playing levels revealed competitive males had significantly greater physical outputs across many variables, alongside higher mean heart rate and lower RPE than recreational males (p < 0.05, moderate-to-large effects). This study presents a novel game-specific basketball activity simulation protocol replicating actual playing durations and game configurations that might be successfully applied for both training and research purposes. Reliability statistics are provided for several variables to inform end-users on potential measurement error when implementing the simulation protocol. Discriminant validity of the simulation protocol was supported for several variables, suggesting it may hold practical utility in benchmarking or selecting players. Future research on this topic is encouraged examining wider samples of male and female basketball players at different levels as well as additional forms of validity for the protocol.

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Section: Introductionmentioning

confidence: 99%

The reliability and discriminant validity of physical, technical, and perceptual-physiological measures during a game-specific basketball activity simulation protocol

Ferioli,

Alcaraz,

Freitas

et al. 2024

Front. Psychol.

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Perspective SPILSS Models for Analyzing the Development of Paragliding Athletes in Central Java

Listiarini,

‎,

Kurniawan

et al. 2024

KSS

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The purpose of this study was to use the Sports Policy Factors Leading to International Sporting Success (SPLISS 2.0) instrument and the nine pillars of elite sports success approach to survey and assess the success factors of coaching. Athletes from eight districts or cities in Central Java that had paragliding organizations, as well as chairs, secretaries, treasurers, and coaches were included in the survey. Data were analyzed through SPLISS 2.0 reports and quantitative analysis methods. Potential success factors were determined quantitatively using 96 CSFs assigned to a score of 0–1 based on nine pillars. Findings show that Banyumas, Grobogan, the Semarang district, and Karanganyar are the four regions offering the highest numbers of paragliding sports. The districts of Grobogan and Semarang are best in participation, talent identification, and talent development. The results show that many regions have yet to adopt the nine pillars. It is intended that each region would produce paragliding athletes of the highest caliber, honoring Central Java and Indonesia as a country. Keywords: SPLISS models, paragliding, sport policy

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Applying Sport Scientist Roles Within Organizations

Cited by 2 publications

References 41 publications

The reliability and discriminant validity of physical, technical, and perceptual-physiological measures during a game-specific basketball activity simulation protocol

The reliability and discriminant validity of physical, technical, and perceptual-physiological measures during a game-specific basketball activity simulation protocol

Perspective SPILSS Models for Analyzing the Development of Paragliding Athletes in Central Java

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