Determining Youth Profile using Principle Component Analysis for Identifying Talent in Sports
Siti Musliha Mat-Rasid1, Mohamad Razali Abdullah2, Hafizan Juahir3, Ahmad Bisyri Husin Musawi Maliki4, Rabiu Muazu Musa5, Norlaila Azura Kosni6, Muhammad Rabani Hashim7, Vijayamurugan Eswaramoorthi8, Nasree Najmi9
1Siti Musliha Mat-Rasid, Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
2Mohamad Razali Abdullah, Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
3Hafizan Juahir, East Coast Enviromental Research Institute, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
4Ahmad Bisyri Husin Musawi Maliki, Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
5Norlaila Azura Kosni, Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
6Rabiu Muazu Musa, Centre for Foundation & Liberal Studies, Universiti Malaysia Terengganu, Terengganu, Malaysia.
7Muhammad Rabani Hashim, Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
8Vijayamurugan Eswaramoorthi, Faculty of Health Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
9Nasree Najmi, Terengganu State Sports Council, Terengganu, Malaysia.
Manuscript received on 03 August 2019 | Revised Manuscript received on 26 August 2019 | Manuscript Published on 05 September 2019 | PP: 212-215 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10520782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1052.0782S719
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study attempts to determine youth profile in sports talent identification program. Data of anthropometric and physical fitness included power, agility, speeds, flexibility, strength and endurance were obtained from 600 participants in a sports talent identification program aged 13-15 years. Data analyses were carried out using multivariate analysis of principal component analysis (PCA). PCA revealed three principal components with 71.5% total variation for this studied group. The first component consists of high factor loading in speed variables (10 meter run, 20 meter run, 40 meter run) and endurance (predicted VO₂ max). The second component was constituted by anthropometric variables (weight, height, sitting height and armspan). While third component contains flexibility variable (sit and reach). These selected variables of anthropometric and fitness are, therefore, revealed as the essential attributes those must be prioritized for a talent scouting in sports. Present results had demonstrated youth profile that capable of providing an information that could help coaches in decision making during athlete selection in sports talent identification.
Keywords: Principal Component Analysis, Profiling, Talent Identification.
Scope of the Article: Social Sciences