Visual abilities distinguish pitchers from hitters in professional baseball.

Abstract

This study aimed to evaluate the possibility that differences in sensorimotor abilities exist between hitters and pitchers in a large cohort of baseball players of varying levels of experience. Secondary data analysis was performed on 9 sensorimotor tasks comprising the Nike Sensory Station assessment battery. Bayesian hierarchical regression modelling was applied to test for differences between pitchers and hitters in data from 566 baseball players (112 high school, 85 college, 369 professional) collected at 20 testing centres. Explanatory variables including height, handedness, eye dominance, concussion history, and player position were modelled along with age curves using basis regression splines. Regression analyses revealed better performance for hitters relative to pitchers at the professional level in the visual clarity and depth perception tasks, but these differences did not exist at the high school or college levels. No significant differences were observed in the other 7 measures of sensorimotor capabilities included in the test battery, and no systematic biases were found between the testing centres. These findings, indicating that professional-level hitters have better visual acuity and depth perception than professional-level pitchers, affirm the notion that highly experienced athletes have differing perceptual skills. Findings are discussed in relation to deliberate practice theory.

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Citation

Published Version (Please cite this version)

10.1080/02640414.2017.1288296

Publication Info

Klemish, David, Benjamin Ramger, Kelly Vittetoe, Jerome P Reiter, Surya T Tokdar and Lawrence Gregory Appelbaum (2018). Visual abilities distinguish pitchers from hitters in professional baseball. Journal of sports sciences, 36(2). pp. 171–179. 10.1080/02640414.2017.1288296 Retrieved from https://hdl.handle.net/10161/20735.

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Scholars@Duke

Reiter

Jerome P. Reiter

Professor of Statistical Science

My primary areas of research include methods for preserving data confidentiality, for handling missing values, for integrating information across multiple sources, and for the analysis of surveys and causal studies. I enjoy collaborating on data analyses with researchers who are not statisticians, particularly in the social sciences and public policy.

Tokdar

Surya Tapas Tokdar

Professor of Statistical Science

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