How performance analysis of elite long jumping can inform representative training design through identification of key constraints on competitive behaviours

Journal article


McCosker, Chris, Renshaw, Ian, Greenwood, Daniel, Davids, Keith and Gosden, Edward. (2019). How performance analysis of elite long jumping can inform representative training design through identification of key constraints on competitive behaviours. European Journal of Sport Science. 19(7), pp. 913-921. https://doi.org/10.1080/17461391.2018.1564797
AuthorsMcCosker, Chris, Renshaw, Ian, Greenwood, Daniel, Davids, Keith and Gosden, Edward
Abstract

Analysing performance in competitive environments enables identification of key constraints which shape behaviours, supporting designs of more representative training and learning environments. In this study, competitive performance of 244 elite level jumpers (male and female) was analysed to identify the impact of candidate individual, environmental and task constraints on performance outcomes. Findings suggested that key constraints shaping behaviours in long jumping were related to: individuals (e.g. particularly intended performance goals of athletes and their impact on future jump performance); performance environments (e.g. strength and direction of wind) and tasks (e.g. requirement for front foot to be behind foul line at take-off board to avoid a foul jump). Results revealed the interconnectedness of competitive performance, highlighting that each jump should not be viewed as a behaviour in isolation, but rather as part of a complex system of connected performance events which contribute to achievement of competitive outcomes. These findings highlight the potential nature of the contribution of performance analysis in competitive performance contexts. They suggest how practitioners could design better training tasks, based on key ecological constraints of competition, to provide athletes with opportunities to explore and exploit functional intentions and movement solutions high in contextual specificity.

Keywordsperformance analysis; long jump; representative learning design; ecological dynamics; interacting constraints
Year2019
JournalEuropean Journal of Sport Science
Journal citation19 (7), pp. 913-921
PublisherRoutledge
ISSN1746-1391
Digital Object Identifier (DOI)https://doi.org/10.1080/17461391.2018.1564797
Scopus EID2-s2.0-85059642817
Open accessPublished as green open access
Research or scholarlyResearch
Page range913-921
Author's accepted manuscript
License
File Access Level
Open
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online07 Jan 2019
Publication process dates
Deposited22 Aug 2022
Permalink -

https://acuresearchbank.acu.edu.au/item/8y24w/how-performance-analysis-of-elite-long-jumping-can-inform-representative-training-design-through-identification-of-key-constraints-on-competitive-behaviours

Download files


Author's accepted manuscript
AM_McCosker_2019_How_performance_analysis_of_elite_long.pdf
License: CC BY-NC-ND 4.0
File access level: Open

Restricted files

Publisher's version

  • 5
    total views
  • 2
    total downloads
  • 0
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as