Development of Long-Term Talent in Sports Model Based on Anthropometric and Motor Fitness Components using Multivariate Analysis

  • Liyana Daud Universiti Sultan Zainal Abidin
  • Siti Musliha Mat-Rasid Universiti Sultan Zainal Abidin
  • Ahmad Bisyri Husin Musawi Maliki Universiti Sultan Zainal Abidin
  • Amr Alnaimat Universiti Sultan Zainal Abidin
  • Muhammad Rabani Hashim Universiti Sultan Zainal Abidin
  • Amilah Fadhlina Mohd Rozi Universiti Sultan Zainal Abidin
  • Mohd Khairi Zawi Universiti Sultan Zainal Abidin


The study attempts to use multivariate analysis to evaluate the profile of male player for developments of Long-Term Talent in Sports (LT-TiS) model based on anthropometric and motor fitness components. Data of anthropometric and motor fitness included power, flexibility, coordination and speed were obtained from 2019 respondents aged  year. Data interpretations were carried out using multivariate analysis of Principle Components Analysis (PCA) and Discriminant analysis (DA). The adequacy of sampling has been measured using Bartletts tests on sphericity and Kaiser-Meyer-Olkin (KMO) has been used, with this conformance of running the Principal Component Analysis (PCA). Then, Discriminant Analysis (DA) were used to validate the correctness of group classification by LT-TiS model. Then, Discriminant Analysis (DA) were used to validate the correctness of group classification by LT-TiS. As a result, two factors with eigenvalues greater than 1 were extracted which accounted for 55.00% of the variations present in the original variables was found. The two factors were used to obtain the factor score coefficients explained by 27.86% and 27.21% of the variations in player performance respectively. Factor 1 revealed high factor loading on motor fitness compared to factor 2 as it was significantly related to anthropometrics. A model was obtained using standardized coefficient of factor 1. Three clusters of performance were shaped in view by categorizing; ,  and  as good, moderate and poor performance respectively. Six discriminated variables obtained using forward and backward stepwise mode by DA including weight, height, standing broad jump, hand wall toss, sit and reach and 20 meter run. Variables have been established as an important indicator of choosing talented player.

Author Biography

Liyana Daud, Universiti Sultan Zainal Abidin
Faculty of Applied Social Sciences


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How to Cite
Daud, L., Mat-Rasid, S. M., Maliki, A. B. H. M., Alnaimat, A., Hashim, M. R., Mohd Rozi, A. F., & Zawi, M. K. (2019). Development of Long-Term Talent in Sports Model Based on Anthropometric and Motor Fitness Components using Multivariate Analysis. Malaysian Journal of Applied Sciences, 4(1), 38-47. Retrieved from
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