Sensorimotor abilities predict on-field performance in professional baseball
Autor: | Kyle Burris, Benjamin Ramger, Surya T. Tokdar, Sunith Suresh, Jerome P. Reiter, L. Gregory Appelbaum, Kelly Vittetoe |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Adult
Adolescent Bayesian probability lcsh:Medicine Sample (statistics) Latent variable League Athletic Performance Baseball Field (computer science) Article Sensorimotor skills Nike 03 medical and health sciences Young Adult 0302 clinical medicine Theoretical Models Humans lcsh:Science Psychomotor learning Multidisciplinary lcsh:R Neurosciences 030229 sport sciences Models Theoretical 030221 ophthalmology & optometry lcsh:Q Psychology Algorithms Psychomotor Performance Cognitive psychology |
Zdroj: | Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018) Scientific Reports Scientific reports, vol 8, iss 1 |
ISSN: | 2045-2322 |
DOI: | 10.1038/s41598-017-18565-7 |
Popis: | Baseball players must be able to see and react in an instant, yet it is hotly debated whether superior performance is associated with superior sensorimotor abilities. In this study, we compare sensorimotor abilities, measured through 8 psychomotor tasks comprising the Nike Sensory Station assessment battery, and game statistics in a sample of 252 professional baseball players to evaluate the links between sensorimotor skills and on-field performance. For this purpose, we develop a series of Bayesian hierarchical latent variable models enabling us to compare statistics across professional baseball leagues. Within this framework, we find that sensorimotor abilities are significant predictors of on-base percentage, walk rate and strikeout rate, accounting for age, position, and league. We find no such relationship for either slugging percentage or fielder-independent pitching. The pattern of results suggests performance contributions from both visual-sensory and visual-motor abilities and indicates that sensorimotor screenings may be useful for player scouting. |
Databáze: | OpenAIRE |
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