Applied Multidimensional Analysis for Assessing Youth Performance in Sports Talent Identification Program
Siti Musliha Mat-Rasid1, Mohamad Razali Abdullah2, Hafizan Juahir3, Ahmad Bisyri Husin Musawi Maliki4, Norlaila Azura Kosni5, Rabiu Muazu Musa6, Muhammad Rabani Hashim7, Amr Salem Falah Alnamat8, Norzulaika Alias9, Nasree Najmi10
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.
8Norzulaika Alias, Faculty of Health Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia.
9Nasree Najmi, Terengganu State Sports Council, Kuala Nerus, Terengganu, Malaysia.
10Amr Salem Falah Alnamat, Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu Malaysia.
Manuscript received on 03 August 2019 | Revised Manuscript received on 26 August 2019 | Manuscript Published on 05 September 2019 | PP: 207-211 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B10510782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1051.0782S719
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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 apply multidimensional analysis for assessing the profile of male youth in sports talent identification program. Data of anthropometric and physical fitness included power, agility, speeds, flexibility, strength and endurance were obtained from 600 youth in a sports talent identification program aged 13-15 years. Data analyses were carried out using multivariate analysis cluster analysis (CA) and discriminant analysis (DA). Cluster analysis assigned three groups with different profile. While standard mode of DA demonstrated 90.0% accuracy of classification matrix for the assigned groups with nine discriminated variables. Forward and backward stepwise DA discriminated six variables from nine variables with 90.3% level of accuracy. The variables are weight, sitting height, armspan, 20 meter run, 40 meter run and VO2 max. 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 multidimensional analysis as comprehensive approach capable of providing an information that could help coaches in decision making during youth selection in sports talent identification.
Keywords: Cluster Analysis, Discriminant analysis, Multivariate Analysis, Talent Identification.
Scope of the Article: Social Sciences