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Which Causal Relationships Can Reject or Accept the Significant Optimum Distribution Ratios Phases in the Triple Jump

Received: 9 June 2015    Accepted: 14 June 2015    Published: 4 July 2015
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Abstract

The objectives of this study were to detect some causal relationships in significant differences optimum distribution ratios phases that the most sources agree that it varies from athlete to the other. Our subjects were the finalists (2009-2011) with Hop-dominated technique, 17 meter as minimum performance and the best performance in the world triple Jump with Jump-dominated technique, 18 meter as minimum performance in other comparison. In the absence of technological means in Algeria, our study explores the reports (IAAF) in order to answer: Which causal relationship explained or dismissed the Optimum distribution ratios phases in the two-practiced dominant technique (Hop and Jump) to achieve results? For this, we chose the analysis of the Regression to be compared, the impact phase distributions (hop, step and jump) charged with the results achieved in their test. Our goal for this research is: Improve search through the Optimum use of data results champions. Find a causal relationship between dominant technique and results as research topic in Optimum ratios phases. The most important results obtained: Optimum distribution ratios phases in the hop-dominated technique varies from athlete to other because the respect of the model theories Russian requires the Stride length of the three phases typically to (39%: 30%: 31%).Optimum distribution ratios phases in the jump-dominated technique should be us as optimum phase ratio in condition that the Stride length of the three phases typically to (34%29%37%).

Published in American Journal of Sports Science (Volume 3, Issue 4)
DOI 10.11648/j.ajss.20150304.12
Page(s) 73-78
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Dominated Technique, Distribution Phases, Prediction in Triple Jumpp

References
[1] Abeer Eissa. (2014). Biomechanical Evaluation of the Phases of the Triple Jump Take-Off in a Top Female Athlete. Journal of Human Kinetics, 29–35.
[2] Bing Yu, PhD. (1982). BIOMECHANICS OF TRIPLE JUMP. usa: Center for Human Movement Science The University of North Carolina at Chapel Hill.
[3] Bouchard C, Rankinen T. (2001). Individual differences in response to regular phsycal exercise. Med.Sci.Sport exercise.
[4] Clifford Larkins. (s.d.). THE OPTIMAL CONTRIBUTION OF THE PHASE DISTANCES IN THE TRIPLE JUMP NOVICES VERSUS ELITES. The University of Michigan.
[5] Ed Jacoby. (2009). Winning Jumps and Pole Vault. usa: Human Kinetics.
[6] F.P. Beer, Ferdinand P. Beer, E.R. (2009). Mechanical engineer for vol.2: Dynamic. canada: De BoeckSupérieur Amazon France.
[7] Hui Liu. (2012). Effects of phase ratio and velocity conversion coefficient on the performance of the triple jump. Journal of Sports Sciences, Source: PubMed.
[8] IAAF. (2011, 08 18). Biomechanics Research Project in the IAAF World Championships Daegu 2011. International Association of Athletics Federations: International Cooperation Research Team (JAAF Biomechanics Team).
[9] James G. Hay. (1992). the biomechanics of the triple jump: a review. Journal of Sports Sciences, Source: PubMed.
[10] K. Dziewiecki, Z. Mazur, and W. Blajer. (2013). ASSESSMENT OF EXTERNAL AND INTERNAL LOADS IN THE TRIPLE JUMP VIA INVERSE DYNAMICS SIMULATION. Biol Sport., 103–109.
[11] McNab, T. (1968). Triple lump Amateur Athletic Association. London.
[12] MIHAI IlIE. (2009). RESEARCHES CONCERNING THE KINEMATIC ANALYSIS OF THE HOP IN THE MALE TRIPLE EVENT. International Scientific Conference Innovation and creation in the field of physical activity, sources of human performance Galati, 293 – 297.
[13] Paul Brice. (s.d.). Using Quintic Biomechanics to Calculate Centre of Mass,. Q4E Case Study, Sport Science (AS / A level /1st year Degree Level).
[14] S.J. Allen & all. (2013). Trade-offs between horizontal and vertical velocities during triple jumping and the effect on phase distances. Journal of Biomechanics, 979-983.
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  • APA Style

    Zerf Mohammed, Mokkedes Moulay Idris, Bengoua Ali, Bendahmane Med Nasreddin. (2015). Which Causal Relationships Can Reject or Accept the Significant Optimum Distribution Ratios Phases in the Triple Jump. American Journal of Sports Science, 3(4), 73-78. https://doi.org/10.11648/j.ajss.20150304.12

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    ACS Style

    Zerf Mohammed; Mokkedes Moulay Idris; Bengoua Ali; Bendahmane Med Nasreddin. Which Causal Relationships Can Reject or Accept the Significant Optimum Distribution Ratios Phases in the Triple Jump. Am. J. Sports Sci. 2015, 3(4), 73-78. doi: 10.11648/j.ajss.20150304.12

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    AMA Style

    Zerf Mohammed, Mokkedes Moulay Idris, Bengoua Ali, Bendahmane Med Nasreddin. Which Causal Relationships Can Reject or Accept the Significant Optimum Distribution Ratios Phases in the Triple Jump. Am J Sports Sci. 2015;3(4):73-78. doi: 10.11648/j.ajss.20150304.12

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  • @article{10.11648/j.ajss.20150304.12,
      author = {Zerf Mohammed and Mokkedes Moulay Idris and Bengoua Ali and Bendahmane Med Nasreddin},
      title = {Which Causal Relationships Can Reject or Accept the Significant Optimum Distribution Ratios Phases in the Triple Jump},
      journal = {American Journal of Sports Science},
      volume = {3},
      number = {4},
      pages = {73-78},
      doi = {10.11648/j.ajss.20150304.12},
      url = {https://doi.org/10.11648/j.ajss.20150304.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20150304.12},
      abstract = {The objectives of this study were to detect some causal relationships in significant differences optimum distribution ratios phases that the most sources agree that it varies from athlete to the other. Our subjects were the finalists (2009-2011) with Hop-dominated technique, 17 meter as minimum performance and the best performance in the world triple Jump with Jump-dominated technique, 18 meter as minimum performance in other comparison. In the absence of technological means in Algeria, our study explores the reports (IAAF) in order to answer: Which causal relationship explained or dismissed the Optimum distribution ratios phases in the two-practiced dominant technique (Hop and Jump) to achieve results? For this, we chose the analysis of the Regression to be compared, the impact phase distributions (hop, step and jump) charged with the results achieved in their test. Our goal for this research is: Improve search through the Optimum use of data results champions. Find a causal relationship between dominant technique and results as research topic in Optimum ratios phases. The most important results obtained: Optimum distribution ratios phases in the hop-dominated technique varies from athlete to other because the respect of the model theories Russian requires the Stride length of the three phases typically to (39%: 30%: 31%).Optimum distribution ratios phases in the jump-dominated technique should be us as optimum phase ratio in condition that the Stride length of the three phases typically to (34%29%37%).},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Which Causal Relationships Can Reject or Accept the Significant Optimum Distribution Ratios Phases in the Triple Jump
    AU  - Zerf Mohammed
    AU  - Mokkedes Moulay Idris
    AU  - Bengoua Ali
    AU  - Bendahmane Med Nasreddin
    Y1  - 2015/07/04
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajss.20150304.12
    DO  - 10.11648/j.ajss.20150304.12
    T2  - American Journal of Sports Science
    JF  - American Journal of Sports Science
    JO  - American Journal of Sports Science
    SP  - 73
    EP  - 78
    PB  - Science Publishing Group
    SN  - 2330-8540
    UR  - https://doi.org/10.11648/j.ajss.20150304.12
    AB  - The objectives of this study were to detect some causal relationships in significant differences optimum distribution ratios phases that the most sources agree that it varies from athlete to the other. Our subjects were the finalists (2009-2011) with Hop-dominated technique, 17 meter as minimum performance and the best performance in the world triple Jump with Jump-dominated technique, 18 meter as minimum performance in other comparison. In the absence of technological means in Algeria, our study explores the reports (IAAF) in order to answer: Which causal relationship explained or dismissed the Optimum distribution ratios phases in the two-practiced dominant technique (Hop and Jump) to achieve results? For this, we chose the analysis of the Regression to be compared, the impact phase distributions (hop, step and jump) charged with the results achieved in their test. Our goal for this research is: Improve search through the Optimum use of data results champions. Find a causal relationship between dominant technique and results as research topic in Optimum ratios phases. The most important results obtained: Optimum distribution ratios phases in the hop-dominated technique varies from athlete to other because the respect of the model theories Russian requires the Stride length of the three phases typically to (39%: 30%: 31%).Optimum distribution ratios phases in the jump-dominated technique should be us as optimum phase ratio in condition that the Stride length of the three phases typically to (34%29%37%).
    VL  - 3
    IS  - 4
    ER  - 

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Author Information
  • Physical and Sports Education Institute Mostaganem, Sports Training department, Laboratory Optimization of Programs in Eps, University Abdel Hamid Ibn Badis Mostaganem, Mostaganem, Algeria

  • Physical and Sports Education Institute Mostaganem, Sports Training department, Laboratory Optimization of Programs in Eps, University Abdel Hamid Ibn Badis Mostaganem, Mostaganem, Algeria

  • Physical and Sports Education Institute Mostaganem, Sports Training department, Laboratory Optimization of Programs in Eps, University Abdel Hamid Ibn Badis Mostaganem, Mostaganem, Algeria

  • Physical and Sports Education Institute Mostaganem, Sports Training department, Laboratory Optimization of Programs in Eps, University Abdel Hamid Ibn Badis Mostaganem, Mostaganem, Algeria

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