The identification of essential normative performances indicators for adolescent: an implication for talent identification programme

  • A Adnan
  • M.R. Abdullah
  • H Juahir
  • A.B.H.M. Maliki
  • R.M. Musa
  • S.M. Mat-Rasid
  • N.A. Kosni
Keywords: principal component analysis, statistical process control, talent identification

Abstract

This study attempts to evaluate the profile of male and female secondary school pupils for talent identification in sports. Data of anthropometric and physical were obtained from 1282 participants in a sports development program aged 13-15 years in Terengganu. Data were carried out using principal component analysis (PCA) and statistical process control (SPC). PCA revealed thirteen principal components which is standing broad jump, sit and reach, 10 meter run, 20 meter run, 40 meter run, vertical jump, max push up, 1 min sit up, predicted VO₂ max, weight, height, sitting height  and armspan. Such parameters that have been associated  can  help  coaches in  making  athlete  selection  based  on  anthropometric  and physiological component. All result demonstrated as a comprehensive method that able to provide detail on youth profile and help athlete selection for talent identification in sport.

Keywords: principal component analysis; statistical process control; talent identification

Published
2018-01-17

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eISSN: 1112-9867