Efficiency of a predictive model for assessing the performance of the simple direct attack in terms of physical and motor abilities of junior fencers
Abstract
The aim of this study was to identify the nature of the relationship between the performance of the skill of simple direct attack of the fencers and their physical and motor abilities, and also to build a predictive model for the performance of the skill of the simple direct attack of the fencers by knowing the efficiency of their physical and motor abilities for this performance. We used a descriptive, correlational, and survey approach to collect and analyze the data. The tests were applied on 40 fencers from the junior category (under 17 years old) in Diyala and Baghdad Clubs during the 2017-2018 season. The Statistical Package for the Social Sciences (SPSS) was used for statistical analysis. The majority of relationships between the results of the performance of the simple direct attack skill of the fencers and their physical and motor abilities were statistically significant (p < 0.05). So, most of the physical abilities and their various forms, as well as the motor abilities, have great contributions to the performance of the skill. We also have found the significance of the model’s coefficients (F = 12.672, p = 0.000), thus showing that the morality of the model confirms its efficiency. In conclusion, the effective relationships of physical and motor abilities were limited to the performance of the simple direct attack skill (straight) of junior fencers in: strength characterized by speed for the two legs, running (20 meters), accuracy, kinetic response, transitional speed with progress, transitional speed by retreat, endurance speed with progress and retreat, and agility. The predictive model did not show an effect of the predictors, although they are good predictors for the performance of the skill of simple direct attack for the fencers.
Downloads
References
Al-Bayati, A, T. (2008). Statistics and its applications in educational and psychological sciences. Amman: Ithraa Press for Publication and Distribution.
Al-Yasiri, M. J. (2011). Principles of Educational Statistics. Al-Najaf Al-Ashraf, Dar Al-Diaa Press.
Anshel, M. H. (1991). Dictionary of the Sport & Exercise Science. Human Kinetics.
Ahmed, H. H. (1995). The significance of the contribution of some physical attributes to the level of skill performance of young female fencing, theories and applications. Faculty of Physical Education for Boys, Issue Twenty-four, Alexandria University.
Hussein, I., & Nassif, I. (1987). The Science of Sports Training. Dar Al-Kutub for Printing.
Razzaq, R. A. (2018). A predictive model for the performance of some offensive skills in basketball in terms of the physical and motor abilities of juniors in southern clubs. Master's thesis, University of Al-Muthanna, College of Physical Education and Sports Sciences.
Schmidt, H. R., & Graig, A. W. (2000). Motor Learning and Performance. Human Kinetics.
Singer, R. N. (1990). Motor Training and Human Performance. New York Macmillan Publishing.
Winkley, J. (2009). Speed and accuracy in skills assessment. Alpha Plus.
The works and papers that are published in this Journal are subject to the following terms:
1. The Publication Service of the University of Murcia (the publisher) has the Publication Rights (Copyright) to the published papers and works, and favors and permits the reusing of the same under the license indicated in point 2.
© Servicio de Publicaciones, Universidad de Murcia, 2013
2. The papers and works are to be published in the digital edition of the Journal under the license Creative Commons Reconocimiento-No Comercial-Sin Obra Derivada 3.0 España (legal text). The copying, using, spreading, transmitting and publicly displaying of the papers, works or publication are permitted as long as: i) the authors and original sources (Journal, publisher and URL of the publication) are quoted; ii) it is not used for commercial benefit; iii) the existence and specifications of this users license are mentioned.
3. Conditions of Self-Archiving. It is permitted and encouraged that the authors spread electronically the pre-print (before printing) and/or post-print (the revised, evaluated and accepted) versions of their papers or works before their publication since this favors their circulation and early diffusion and therefore can help increase their citation and quotation, and also there reach through the academic community.
The works and papers that are published in this Journal are subject to the following terms:
1. The Publication Service of the University of Murcia (the publisher) has the Publication Rights (Copyright) to the published papers and works, and favors and permits the reusing of the same under the license indicated in point 2.
© Servicio de Publicaciones, Universidad de Murcia, 2013
2. The papers and works are to be published in the digital edition of the Journal under the license Creative Commons Reconocimiento-No Comercial-Sin Obra Derivada 3.0 España (legal text). The copying, using, spreading, transmitting and publicly displaying of the papers, works or publication are permitted as long as: i) the authors and original sources (Journal, publisher and URL of the publication) are quoted; ii) it is not used for commercial benefit; iii) the existence and specifications of this users license are mentioned.
3. Conditions of Self-Archiving. It is permitted and encouraged that the authors spread electronically the pre-print (before printing) and/or post-print (the revised, evaluated and accepted) versions of their papers or works before their publication since this favors their circulation and early diffusion and therefore can help increase their citation and quotation, and also there reach through the academic community.