NORMS CONSTRUCTION AND GRADING FOR PHYSICAL FITNESS TEST ITEMS

Surinder Singh, Baljinder Singh Bal

Abstract


The present study was conducted to construct norms for selected physical fitness test items of handball players. For the purpose of the present study, fourty eight (N=48), male Handball players of Panjab University, Chandigarh between the age group of 18-25 years were selected as subjects. The Muscular Strength was measured by Handgrip Strength Test, Muscular Power was measured by Vertical Jump Test, Muscular Endurance was measured by Pull-Up Test, Running Speed was measured by 20-Meter Dash, Running Agility was measured by Illinois Agility Test, Jumping Ability was measured by Standing Long Jump Test, Throwing Ability was measured by Overhead Medicine Ball Throw Test, Flexibility was measured by Sit and Reach Flexibility Test and Balance was measured by Stork Balance Stand Test. The data, which was collected by administering tests, was statistically treated to develop for all the test items. In order to construct the norms, Percentile Scale was used. Further, the scores were classified into five grades i.e., very good, good, average, poor and very poor. In Muscular Strength, the mean score was 49.562 and standard deviation score was 3.679. In Muscular Power, the mean score was 48.062 and standard deviation score was 2.276. In Muscular Endurance, the mean score was 6.958 and standard deviation score was 1.098. In Running Speed, the mean score was 4.6354 and standard deviation score was 0.143. In Running Agility, the mean score was 17.606 and standard deviation was 0.834. In Jumping Ability, the mean score was 2.7260 and standard deviation was 0.415. In Throwing Ability, the mean score was 13.562 and standard deviation score was 0.976. In Flexibility, the mean score was 4.625 and standard deviation score was 0.832. In Balance, the mean score was 46.354 and standard deviation score was 1.561of Panjab University, Chandigarh.

 

Article visualizations:

Hit counter

DOI

Keywords


norms, muscular strength, muscular power, muscular endurance, running speed, running agility, jumping ability, throwing ability, flexibility and balance

Full Text:

PDF

References


Abrantes, C., Macas, V. & Sampaio, J. (2004). Variation in football players’ sprint test performance across different ages and levels of competition. J Sports Sci Med, 3 (YISI 1): 44-9.

Black, W. & Roundy, E. (1994). Comparisons of size, strength, speed, and power in NCAA Division 1-A football players. J Strength Cond Res, 8 (2): 80-5.

Castro-Pinero, J., Artero, E.G., Espana-Romero, V., Ortega, F.B., Sjostrom, M., Suni, J. (2010). Criterion related validity of field-based fitness tests in youth: A systematic review. British Journal of Sports Medicine, 44, 934-943.

D. Kuh, E. J. Bassey, S. Butterworth, R. Hardy, and M. E. J. Wadsworth. (2005). Grip strength, postural control, and functional leg power in a representative cohort of British men and women: associations with physical activity, health status, and socioeconomic conditions, The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 60, 2, 224–231.

Drinkwater, E.J., Hopkins, W.G. & McKenna, M.J. (2007). Modeling age and secular differences in fitness between basketball players. J Sports Sci, 25 (8): 869-78.

Fry, A. & Kraemer W. (1991). Physical performance characteristics of American collegiate football players. J Strength Cond Res 4. 5 (3): 126-38.

Gualdi-Russo, E. & Zaccagni, L. (2001). Somatotype, role and performance in elite volleyball players. J Sports Med Phys Fitness, 41 (2): 256-62.

Hoare, D.G. (2000). Predicting success in junior elite basketball players: the contribution of anthropometric and physiological attributes. J Sci Med Sport, 3 (4): 391-405.

I. J. Dionne, P. A. Ades, and E. T. Poehlman. (2003). Impact of cardiovascular fitness and physical activity level on health outcomes in older persons, Mechanisms of Ageing and Development, 124, 3, 259–267.

Keogh, J.W., Weber, C.L. & Dalton, C.T. (2003). Evaluation of anthropometric, physiological, and skill-related tests for talent identification in female field hockey. Can J Appl Physiol, 28 (3): 397-409.

Quarrie, K.L., Handcock, P. & Waller, A.E. (1995). The New Zealand rugby injury and performance project. III: anthropometric and physical performance characteristics of players. Br J Sports Med, 29 (4): 263-70.

S. N. Blair and T. S. Church. (2004). The fitness, obesity, and health equation: is physical activity the common denominator? Journal of the American Medical Association, 292, 10, 1232–1234.

World Health Organization. (2010). Global recommendations on physical activity for health.

Young, W.B., & Pryor, L. (2007). Relationship between pre-season anthropometric and fitness measures and indicators of playing performance in elite junior Australian Rules football. J Sci Med Sport, 10 (2): 110-8.




DOI: http://dx.doi.org/10.46827/ejpe.v0i0.1772

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 Surinder Singh, Baljinder Singh Bal

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2015-2022. European Journal of Physical Education and Sport Science (ISSN 2501 - 1235) is a registered trademark of Open Access Publishing Group. All rights reserved.


This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library (Biblioteca Nationala a Romaniei). All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All authors who send their manuscripts to this journal and whose articles are published on this journal retain full copyright of their articles. All the research works published on this journal are meeting the Open Access Publishing requirements and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License (CC BY 4.0).