Geodesic
On the possibility of using the method of collective decision-making in sports research
Matematičeskaâ fizika i kompʹûternoe modelirovanie, no. 2 (2016), pp. 6-12.

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The article explores the demand for using mathematical methods for reasonable decision-making and the possibility of using such methods by specialists in the field of physical education for the improvement of existing methods and the development of new techniques for athletic training. The authors mark the broad usage of the treatment of quantitative attributes by experts when conducting sport research and emphasize the necessity for the ability to analyze the results which are based on qualitative attributes. The paper proves the feasibility of using the method of expert evaluations or the method of collective decision-making which is currently becoming one of the main methods in psychological and pedagogical research. This method allows giving a priori information of specialists (experts) in numerical quantity for reasonable decision-making. The stages of decision making with this method are also described. The authors place special emphasis on criteria of experts selection and their optimal quantity. The algorithm of the method of collective decision-making is provided in the paper. The interpretation of the method is demonstrated on the example of the sports coachs work in the case of need for eliciting the factors influencing the effectiveness of the training process and consequently sports result (the case of the result in long jump).
Keywords: group of experts, collective decision-making, competence vector, coach.
Mots-clés : Kendalls coefficient of concordance 
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E. V. Bondareva; N. V. Stetsenko. On the possibility of using the method of collective decision-making in sports research. Matematičeskaâ fizika i kompʹûternoe modelirovanie, no. 2 (2016), pp. 6-12. http://geodesic.mathdoc.fr/item/VVGUM_2016_2_a1/

[1] E.\;V. Bondareva, N.\;V. Stetsenko, “Dispersion Analysis in Psychological and Pedagogical Studies”, Proceedings of The First European Conference on Physics and Mathematics (March 3, 2015), «East West» Association for Advanced Studies and Higher Education GmbH, Vienna, 2015, 12–17

[2] E.\;V. Bondareva, “On the Use of Multiple Correlation Analysis in Pedagogical Research”, Papers of the 8th International Scientific Conference «European Applied Science: modern approaches in scientific researches» (January 30, 2014), Stuttgart, Germany, 2014, 24–28

[3] T.\;L. Partyka, I.\;I. Popov, Mathematical Methods, Textbook, 2nd ed., rev. and add., FORUM, INFRA-M Publ., M., 2007, 464 pp.

[4] N.\;V. Stetsenko, Organizational and Methodical Bases for Forming Mathematic Competence of Physical Culture and Sport Specialists in the Context of Higher Physical Culture Education, Cand. ped. sci. abs. diss., Volgograd state academy of physical culture, Volgograd, 2002, 24 pp.

[5] G.\;V. Sukhodolskiy, Basics of Mathematical Statistics for Psychologists, Izd-vo Leningradskogo un-ta, L., 1998, 464 pp.

[6] Yu.\;N. Tyurin, A.\;A. Makarov, The Analysis of Computer Data, Finansy i statistika Publ., M., 1995, 384 pp.