Literature DB >> 8054176

The relationship between age and major league baseball performance: implications for development.

R Schulz1, D Musa, J Staszewski, R S Siegler.   

Abstract

Lifetime performance data of 388 baseball players active in 1965 were analyzed to determine the age of peak performance for skills required to play baseball, to derive age-performance curves for athletic productivity, and to assess the magnitude of individual differences among elite and less able players. Cross-sectional and longitudinal analyses show that athletic performance on key indicators rises relatively quickly from age 19 to a peak age of 27 and then declines. The primary difference between elite and less able players is that performance of the elite players remains high for a longer period of time and decays more gradually. The performance of the most elite players is superior to that of less able players even at very early ages. These results parallel findings reported for other achievement domains and can be explained in terms of basic developmental processes involving the interaction of experience, physiological capacity, and motivation.

Mesh:

Year:  1994        PMID: 8054176     DOI: 10.1037//0882-7974.9.2.274

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  6 in total

1.  Major league baseball career length in the twentieth century.

Authors:  William D Witnauer; Richard G Rogers; Jarron M Saint Onge
Journal:  Popul Res Policy Rev       Date:  2007-08

Review 2.  Consequences of age-related cognitive declines.

Authors:  Timothy Salthouse
Journal:  Annu Rev Psychol       Date:  2011-07-05       Impact factor: 24.137

Review 3.  Age of Peak Competitive Performance of Elite Athletes: A Systematic Review.

Authors:  Sian V Allen; Will G Hopkins
Journal:  Sports Med       Date:  2015-10       Impact factor: 11.136

4.  Professional Baseball Pitchers Drafted at a Younger Age Pitch More Innings During Their Professional Baseball Careers Than Pitchers Drafted at an Older Age.

Authors:  Christopher L Antonacci; Martinus Megalla; Anmol Johal; Ali Omari; Brandon J Erickson; Frank G Alberta
Journal:  Arthrosc Sports Med Rehabil       Date:  2022-03-05

5.  Lead us not into tanktation: a simulation modelling approach to gain insights into incentives for sporting teams to tank.

Authors:  Geoffrey N Tuck; Athol R Whitten
Journal:  PLoS One       Date:  2013-11-29       Impact factor: 3.240

6.  Large data and Bayesian modeling-aging curves of NBA players.

Authors:  Nemanja Vaci; Dijana Cocić; Bartosz Gula; Merim Bilalić
Journal:  Behav Res Methods       Date:  2019-08
  6 in total

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