Volume 13 - Issue 5 (8) | PP: 938 - 946
Language : العربية
DOI : https://doi.org/10.31559/EPS2024.13.5.8
DOI : https://doi.org/10.31559/EPS2024.13.5.8
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The Predictive Ability of Certain Physical Measurements for the Handstand Skill in Young Female Gymnasts among the Jerusalem Governorate
Received Date | Revised Date | Accepted Date | Publication Date |
25/7/2024 | 11/8/2024 | 11/9/2024 | 13/10/2024 |
Abstract
Objectives: The study aimed to identify the physical measurements most contributing to the handstand skill among young female gymnasts in Jerusalem. Methods: To achieve this, the study was conducted on a random sample of (110) gymnasts aged between (6-8) years. The researcher used the descriptive methodology due to its suitability for the study's objectives. After conducting physical and skill measurements on the young gymnasts, the data was statistically processed using the Statistical Package for the Social Sciences (SPSS). Results: The current study found that the most contributing physical tests to the handstand skill on the floor exercise apparatus among young female gymnasts in Jerusalem were the modified prone position with arm push, trunk extension endurance test, and the sit-up from a squat position test. These tests contributed to explaining (52.7%) of the skill performance. Conclusions: Based on this, the researcher recommends several recommendations, the most important of which are: generalizing the study results to gymnastics training centers to benefit from them in training the handstand skill and the necessity of considering physical measurements during training due to their impact on the skill.
How To Cite This Article
Jaber , H.& Abdelhaq , I. (2024). The Predictive Ability of Certain Physical Measurements for the Handstand Skill in Young Female Gymnasts among the Jerusalem Governorate. International Journal of Educational and Psychological Studies, 13 (5), 938-946, https://doi.org/10.31559/EPS2024.13.5.8
Copyright © 2024, This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.