Author(s): Dr. Ashok Kumar Singh

Abstract:
The role of anthropometry as a sports science is perhaps one of the most crucial in this regard. It is essential because the physique, body composition, physical growth and one's motor development are of fundamental importance in developing the criteria of talent relation and development in sports. Keeping in mind the fact the scholar decided to find out the Relationship between Selected Anthropometric Measurements and Performance of Women Cricket Players. 35 female students studying in different colleges of University of Delhi who have either participated in inter college or Zonal championships in Cricket were randomly selected to act as subjects for the study. The average age of the subjects was 21 years. Weight, Standing Height, Sitting Height, Leg Length, Lower Leg Length, Upper Leg Length, Arm Length, Upper Arm Length and Lower Leg Length were taken into consideration for the anthropometric measurements. Weighing Scale, Anthropometric Rod, Steel tape and Skin Fold Calliper were the tools used for the measurements, whereas the performance of the selected female Cricket players was gathered by the help of the three experts out of 10. The collected data was analyzed by computing descriptive statistics followed by Pearson’s Product Moment Correlation. The results revealed that mean and SD values of Weight, Standing Height, Sitting Height, Leg Strength, Lower Leg Length, Upper Leg Length, Arm Length, Upper Arm Length and Lower Leg Length were found to be 50.48±5.28, 154.91±3.85, 79.03±6.32, 86.82±7.38, 47.80±3.82, 43.80±1.99, 59.73±4.68, 29.15±3.20 and 31.0±4.21 respectively. Whereas, a significant relationship was found between Performance score and the selected variables, as the values were found to be 0.324, 0.828, 0..468, 0.481, 0.655, 0.533, 0.352 and 0.658 respectively against the tabulated value 0.296 which was significant related at 0.05 level and only upper leg length was not correlated to performance score as the value was found to be 0.178. So finally it was concluded that for better prediction of performance of women Cricket players, all the selected anthropometric variables may be considered in combination instead of studying the influence of each independent variable.

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