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

Liyana Daud; Siti Musliha Mat-Rasid; Ahmad Bisyri Husin Musawi Maliki; Amr Alnaimat; Muhammad Rabani Hashim; Amilah Fadhlina Mohd Rozi; Mohd Khairi Zawi

Liyana Daud Universiti Sultan Zainal Abidin http://orcid.org/0000-0002-9843-6691
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

Abstract

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

References

Abdullah, M. R., Musa, R. M., Maliki, A. B. H. M., Kosni, N. A., & Aziz, M. A. (2016). The Application of Principle Components Analysis to Identify Essential Performance Parameters in Outfield Soccer Players. Research Journal of Applied Sciences, 11(11), 1199-1205.

Anshel, M. H., & Lidor, R. (2012). Talent Detection Programs in Sport: The Questionable Use of Psychological Measures. Journal of Sport Behavior, 35(3).

Balyi, I., & Hamilton, A. (2004). Building pathways in Irish sport: Towards a plan for the sporting health and well-being of the nation, 44 p., (sl: National training & coaching Centre; consultancy paper).

Bloom, B. S., & Sosniak, L. A. (1985). Developing talent in young people.

Chiodera, P., Volta, E., Gobbi, G., Milioli, M. A., Mirandola, P., Bonetti, A. ... & Vitale, M. (2008). Specifically designed physical exercise programs improve children's motor abilities. Scandinavian Journal of Medicine & Science in Sports, 18(2), 179-187.

Durand-Bush, N., & Salmela, J. H. (2002). The development and maintenance of expert athletic performance: Perceptions of world and Olympic champions. Journal of applied sport psychology, 14(3), 154-171.

Ford, P. R., Carling, C., Garces, M., Marques, M., Miguel, C., Farrant, A., ... & Salmela, J. H. (2012). The developmental activities of elite soccer players aged under-16 years from Brazil, England, France, Ghana, Mexico, Portugal and Sweden. Journal of sports sciences, 30(15), 1653-1663.

Harrison, A. J., & Gaffney, S. (2001). Motor development and gender effects on stretch-shortening cycle performance. Journal of Science and Medicine in Sport, 4(4), 406-415.

Henriksen, K., Stambulova, N., & Roessler, K. K. (2010). Holistic approach to athletic talent development environments: A successful sailing milieu. Psychology of sport and exercise, 11(3), 212-222.

Hogan, K., & Norton, K. (2000). The ‘price’of Olympic gold. Journal of science and medicine in sport, 3(2), 203-218.

Lidor, R., CôTé, J. E. A. N., & Hackfort, D. (2009). ISSP position stand: To test or not to test? The use of physical skill tests in talent detection and in early phases of sport development. International journal of sport and exercise psychology, 7(2), 131-146.

Mat-Rasid, S. M., Abdullah, M. R., Aziz, I. A., Juahir, H., Musa, R. M., Maliki, A. B. H. M., ... & Zawi, M. K. (2018). Spatial Pattern Recognition of School Performance Based on Anthropometric and Motor Parameters using Multivariate Analysis and Kriging Interpolation Technique. Malaysian Journal of Applied Sciences, 3(1), 51-62.

Mohamed, H., Vaeyens, R., Matthys, S., Multael, M., Lefevre, J., Lenoir, M., & Philippaerts, R. (2009). Anthropometric and performance measures for the development of a talent detection and identification model in youth handball. Journal of Sports Sciences, 27(3), 257-266.

Musa, R. M., Abdullah, M. R., Juahir, H., Maliki, A. B. H. M., Mat-Rasid, S. M., Kosni, N. A., ... & Eswaramoorthi, V. (2018). A multidimensional analysis of physiological and mechanical variables among archers of different levels of expertise. Journal of Fundamental and Applied Sciences, 10(1S), 18-32.

Nijs, S., Gallardo-Gallardo, E., Dries, N., & Sels, L. (2014). A multidisciplinary review into the definition, operationalization, and measurement of talent. Journal of World Business, 49(2), 180-191.

Pankhurst, A., & Collins, D. (2013). Talent identification and development: The need for coherence between research, system, and process. Quest, 65(1), 83-97.

Radu, L. E., Popovici, I. M., & Puni, A. R. (2015). Comparison of anthropometric characteristics between athletes and non-athletes. Procedia-Social and Behavioral Sciences, 191, 495-499.

Strachan, L., Côté, J., & Deakin, J. (2011). A new view: Exploring positive youth development in elite sport contexts. Qualitative research in sport, exercise and health, 3(1), 9-32.

Swann, C., Moran, A., & Piggott, D. (2015). Defining elite athletes: Issues in the study of expert performance in sport psychology. Psychology of Sport and Exercise, 16, 3-14.

Vaeyens, R., Güllich, A., Warr, C. R., & Philippaerts, R. (2009). Talent identification and promotion programmes of Olympic athletes. Journal of sports sciences, 27(13), 1367-1380.

Van der Horst, N., van de Hoef, S., Reurink, G., Huisstede, B., & Backx, F. (2016). Return to play after hamstring injuries: a qualitative systematic review of definitions and criteria. Sports Medicine, 46(6), 899-912.

Vandervoort, A. A., & Stathokostas, L. (2016). The flexibility debate: implications for health and function as we age. Annual Review of Gerontology and Geriatrics, 36(1), 169-192.

Young, W. A. R. R. E. N., Mc Lean, B. R. I. A. N., & Ardagna, J. A. M. E. S. (1995). Relationship between strength qualities and sprinting performance. Journal of Sports Medicine and Physical Fitness, 35(1), 13-19.

Young, W. B. (2006). Transfer of strength and power training to sports performance. International journal of sports physiology and performance, 1(2), 74-83.