Development of an algorithm for determining the individual factor structure of gymnasts' preparedness for the selection of teams in sports aerobics

Abstract

The purpose of the research is to develop an algorithm for team composition in sports aerobics and to determine the factor structure of the fitness of gymnasts in sports aerobics, taking into account the psychophysiological capabilities of athletes. Material and methods. The following research methods were used to solve the tasks: analysis of literary data; evaluation of the results of competitive activities; determination of functional and psychophysiological state [8–10], physical development and physical fitness, vestibular stability; pedagogical testing; methods of mathematical statistics using multivariate analysis and computer programs "ESXEL" and "SPSS". The results. For team composition in sports aerobics, we developed an algorithm for determining the possibilities of combining athletes into groups for team performances. The main feature of this algorithm was the use of multidimensional analysis tools for the selection of athletes for teams in sports aerobics. Based on the determination of the general structure of the athletes' fitness through factor analysis, individual factor values ​​of the fitness structure were determined for each athlete. Then a hierarchical cluster analysis of the test indicators was conducted and team compositions were selected based on the groups formed as a result of the cluster analysis. Next, programs for performances were created and training programs were developed for each group. Conclusions. The team selection algorithm based on the psychophysiological indicators of athletes is effective, accessible, and allows you to quickly determine the optimal options for combining athletes into groups for performances in various competitive categories; and therefore will contribute to increasing the efficiency of the training process and competitive performance.