Open AccessMODEL CHARACTERISTICS OF SPEED ABILITIES AMONG SPRINTER SWIMMERS AT THE STAGE OF PERFORMANCE IMPROVEMENT
Author(s) -
A.S. Garkovenko,
A.Yu. Bryukhanova,
K.A. Manuylova,
N.V. Soboleva
Publication year - 2020
Publication title -
vestnik krasnoârskogo gosudarstvennogo pedagogičeskogo universiteta im. v.p. astafʹeva
Language(s) - English
Resource type - Journals
ISSN - 1995-0861
DOI - 10.25146/1995-0861-2020-53-3-227
Subject(s) - athletes , computer science , test (biology) , affect (linguistics) , applied psychology , psychology , simulation , physical therapy , medicine , paleontology , communication , biology
Statement of the problem. The use of physical fitness simulation among athletes is much less common than the improvement of individual techniques, means and other “tools” of coaches. However, with the help of simulation, specialists in the field of high-performance sports can more effectively realize a training plan and use it, adapting it to specific athletes with their body characteristics as much as possible. Therefore, the purpose of the article is to develop model characteristics of speed abilities among sprinter swimmers specializing in the 100-meter freestyle at the stage of their performance improvement. The methodology of our work is based on the analysis of scientific literature on the selected problem and testing of sprinter swimmers for development of model characteristics of their speed abilities. Research result. Using the methodology of V.M. Zatsiorsky, we developed a score scale of assessments, and its interpretation on the graph with visualization of test results of athletes. According to these charts, we can specify the “problems” and “advantages” in the physical fitness of sprinter swimmers. We also conducted a factor analysis, as a result of which we identified specific factors that affect the performance for this distance. Conclusion. Based on the results of this study, we have identified 4 factors and variables most influential for the result in the profile distance of swimmers. Using these data, the relationships among variables are established.