1Department of Physical Education, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Deemed University, Allahabad, Uttar Pradesh
2School of Physical Education, Devi Ahilya Vishwavidyalay, Indore, (M.P.)
Online published on 18 February, 2017.
Anthropometry is a scientific specialized closely allied to physical education, sports science, sports medicine, human biology, physical anthropology and several medicine disciplines. Assessment of human physical performance through anthropometry helps to evaluate the physical structure and the performance of individual. For the purpose of this study 55 female long jumpers (23 National Championship and 32 from Inter University) were selected as a subject. Age group of athletes was 17 - 28 years. To carry out this study Single Group Experimental Research design was used. The test item selected for this study was anthropometric variables i.e. Height, Fore Leg Length, Thigh Length, Leg Length, Trunk Length, Sitting Height, Shoulder Width, Hip Width, Weight. The data on jumping performance along with anthropometric measurements was examined by Pearson's Product Movement Correlation in order to find out the relationship of jumping performance to each of the anthropometric variables separately. Multiple Linear Regression analysis was done in order to predict jumping performance on the basis of anthropometric measurements. The analysis was done with the help of SPSS 16.0 software. The level of significance to check the relationship obtained by Pearson's Product Movement Correlation was set at 0.05. Results of the study shows that significant relationship was found out between Height, Leg Length, Shoulder Width and Hip Width among anthropometric variables with long jump performance but Significant difference was not found out in fore leg length, Thigh length, trunk length, sitting height and weight in anthropometric variables with long jump performance.
Long Jump, Performance, Multiple Regression
