Pattern Recognition: Physical Exercises Modes During Motor Skills Development in Girls Aged 14
The study objective is to determine physical exercises modes when developing motor skills in girls aged 14.
Materials and methods. The participants in the study were 40 girls aged 14. To achieve the objective set, the following research methods were used: study and analysis of scientific and methodological literature; pedagogical observation, timing of training tasks; pedagogical experiment, methods of mathematical statistics, methods of mathematical experiment planning, discriminant analysis. Results. The first canonical function explains 73.3% of the variation in results, the second function – 21.6%, which indicates their high informativity (r1=0.898; r2=0.743). The analysis of canonical functions highlights the statistical significance of the first and second canonical functions (λ1=.067; р1=0.001; λ2=0.346; р2=0.001). The first and second functions have a high discriminative ability and value of interpretation with respect to the general totality. The number of repetitions for mastering the first and fourth series of training tasks has the largest contribution to the first canonical function. This indicates that the exercises for developing motor abilities and teaching to control movement time and muscular effort influence the effectiveness of teaching a press headstand and handstand. The number of repetitions for mastering the second and third series of training tasks has the largest contribution to the second canonical function. This indicates that starting and ending positions, and actions without which the exercise performance is impossible influence the effectiveness of teaching a press headstand and handstand.
Conclusions. The discriminant function structure coefficients show that the training program effectiveness is determined by selecting the series of training tasks and their performance modes. To choose the most rational mode of exercises of the series of tasks when teaching girls aged 14 a press headstand and handstand, the first discriminant function can be used with an emphasis on the most informative variables.
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