Development of Discriminant Model for Classifying Throwers on the Basis of Anthropometric and Physical Fitness Variables

Upendra Patidar; Vikas Saxena

doi:10.55544/jrasb.2.1.11

Authors

Upendra Patidar PhD Scholar, Department of Physical Education, Rabindranath Tagore University, Bhopal (M.P.), INDIA
Dr. Vikas Saxena HOD, Department of Physical Education, Ravindra Nath Tagore University, Bhopal (M.P.), INDIA

DOI:

https://doi.org/10.55544/jrasb.2.1.11

Keywords:

Throwers, Discus, Javelin, Hammer, Anthopometric

Abstract

The purpose of this study was to develop a discriminate model to classify throwers (discus, javelin and hammer) on the basis of anthropometric variables and to predict their group membership based on the developed model. There were 25 discus throwers, 25 hammer throwers and 25 javelin throwers of age group 17-25 selected as subjects. The data were collected on anthropometric variables i.e. height, weight, sitting height, (leg, arm, hand) length, shoulder width, (chest, hip, thigh, calf) circumference, (back, shoulder, grip and leg explosive) strength. The anthropometric variables were measured by using selected standardized instruments and measuring tapes. Data collected was analyzed at 0.05 level of significance, descriptive statistics and multiple discriminant analysis was applied to classify and predict group membership of the throwers into the discus, hammer and javelin. The results showed that 68.0% of original grouped cases were correctly classified and 45.3% of cross-validated grouped cases correctly classified.

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References

Leone M, Lariviere G, Comtois AS. Discriminant analysis of anthropometric and biomotor variables among elite adolescent female athletes in four sports. Journal of sports sciences. 2002 Jan 1;20(6):443-9.

Rico-Sanz J. Body Composition and Nutritional. International Journal of Sport Nutrition. 1998; 8:11-23.

Claessens AL, Lefevre J, Beunen G, Malina RM. The contribution of anthropometric characteristics to performance scores in elite female gymnasts. Journal of Sports Medicine and Physical Fitness. 1999 Dec 1;39(4):355.

Safrit M, Introduction to measurement in physical education and exercise science. St Louis: Times Mirror/Mosby College Publication; 1990.

Kansal DK. A practical approach to test Measurement and Evaluation. Sports and Spritual Science Publications. 2012.

Saavedra, J. M., Kristjánsdóttir, H., Einarsson, I. Þ., Guðmundsdóttir, M. L., Þorgeirsson, S., & Stefansson, A. (2018). Anthropometric characteristics, physical fitness, and throwing velocity in elite women's handball teams. The Journal of Strength & Conditioning Research, 32(8), 2294-2301.

Saavedra, J. M., Halldórsson, K., Þorgeirsson, S., Einarsson, I. Þ., & Guðmundsdóttir, M. L. (2020). Prediction of handball players' performance on the basis of kinanthropometric variables, conditioning abilities, and handball skills. Journal of Human Kinetics, 73(1), 229-239

Keogh, J. (1999). The use of physical fitness scores and anthropometric data to predict selection in an elite under 18 Australian rules football team. Journal of Science and Medicine in Sport, 2(2), 125-133.

Bhattacharya, A., Pal, B., Mukherjee, S., & Roy, S. K. (2019). Assessment of nutritional status using anthropometric variables by multivariate analysis. BMC public health, 19, 1-9.

Cui, Y., Liu, F., Bao, D., Liu, H., Zhang, S., & Gómez, M. Á. (2019). Key anthropometric and physical determinants for different playing positions during National Basketball Association draft combine test. Frontiers in Psychology, 10, 2359.

López-Plaza, D., Alacid, F., Muyor, J. M., & López-Miñarro, P. Á. (2017). Sprint kayaking and canoeing performance prediction based on the relationship between maturity status, anthropometry and physical fitness in young elite paddlers. Journal of sports sciences, 35(11), 1083-1090.

Tsoukos, A., Drikos, S., Brown, L. E., Sotiropoulos, K., Veligekas, P., & Bogdanis, G. C. (2019). Anthropometric and motor performance variables are decisive factors for the selection of junior national female volleyball players. Journal of human kinetics, 67(1), 163-173.

Ivashchenko, O. V., Yermakova, T. S., Cieslicka, M., & Muszkieta, R. (2015). Discriminant analysis as method of pedagogic control of 9-11 forms girls' functional and motor fitness. Journal of Physical Education and Sport, 15(3), 576.

Ivashchenko, O., Khudolii, O., Yermakova, T., & Iermakov, S. (2016). Factorial and discriminant analysis as methodological basis of pedagogic control over motor and functional fitness of 14–16-year-old girls.

Ivashchenko, O. V., Yermakova, T. S., Cieślicka, M., & Żukowska, H. (2015). Discriminant analysis in classification of motor fitness of 9-11 forms' juniors. Journal of Physical Education & Sport, 15(2).

Saavedra, J. M., Halldórsson, K., Þorgeirsson, S., Einarsson, I. Þ., & Guðmundsdóttir, M. L. (2020). Prediction of handball players' performance on the basis of kinanthropometric variables, conditioning abilities, and handball skills. Journal of Human Kinetics, 73(1), 229-239.