Sensorimotor abilities predict on-field performance in professional baseball.
Abstract
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.
Type
Journal articleSubject
HumansPsychomotor Performance
Algorithms
Models, Theoretical
Baseball
Adolescent
Adult
Athletic Performance
Young Adult
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https://hdl.handle.net/10161/20733Published Version (Please cite this version)
10.1038/s41598-017-18565-7Publication Info
Burris, Kyle; Vittetoe, Kelly; Ramger, Benjamin; Suresh, Sunith; Tokdar, Surya T;
Reiter, Jerome P; & Appelbaum, L Gregory (2018). Sensorimotor abilities predict on-field performance in professional baseball. Scientific reports, 8(1). pp. 116. 10.1038/s41598-017-18565-7. Retrieved from https://hdl.handle.net/10161/20733.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Lawrence Gregory Appelbaum
Adjunct Associate Professor in the Department of Psychiatry and Behavioral Sciences
Greg Appelbaum is an Adjunct Associate Professor in the Department of Psychiatry and
Behavioral Sciences in the Duke University School of Medicine. Dr. Appelbaum's research
interests primarily concern the brain mechanisms underlying visual cognition, how
these capabilities differ among individuals, and how they can be improved through
behavioral, neurofeedback, and neuromodulation interventions. Within the field of
cognitive neuroscience, his research has addressed visual pe
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.
Surya Tapas Tokdar
Professor of Statistical Science
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