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Abstract

The purpose: determination of classification model of 7-9 years old boys' motor fitness. The methods of the research: we used the following methods of research: analysis of scientific literature data, pedagogic testing, methods of mathematical statistics. As method of simulation we used discriminant analysis. In our researches 7 boys of 7 yrs. age (n=22), 8 years. age (n=27), 9 yrs. age (n=29) participated. Results: we the calculated canonic coefficients of discriminant function (not standardized). They play role of multipliers of the set values of variables, which are components of discriminant function. On the base of them it is possible to classify pupils by level of motor fitness according to their age that is of practical importance. Analysis of discriminant functions' structural coefficients permitted to specify indicators, by which it is possible to classify boys of 7, 8 and 9 years old (function 1). Besides it permits to specify indicators, by which we could separate 8 years old boys from 9 years age (function 2). Discriminant analysis permitted to answer the question: how confidently one can divide one class from the other by the set of offered variables; which of these variables influence the most substantially on specifying of forms; to which form the object belongs on the base of discrminant variables. Conclusions: Statistically confident differences of mean group results of testing were observed in the following tests: walking of segments of hexagon (steps, p<0.033); 30 meters' run (s, p<0.001); long jump from the spot (cm, p<0.002); 300 meters' run (min, p<0.001); chin ups on rope in mixed hanging (quantity of times, p<0.038); shuttle run 4х9 meters (s, p<0.001); rising in sitting position per 1 minute (quantity of times, p<0.009); body height (cm, p<0.001); distance from acromion to acromion (cm, p<0.001); index assessment of mobility in shoulder joints (p<0.005); side circles with stick (points, p<0,.009); frequency of arms' movements (quantity of times, p<0.048); walking along straight line after 5 rotations (cm, p<0.002); catching of falling stick of Dietrich (cm, p<0.036). For finalizing pedagogic control of 7 yrs. age boys' motor fitness first discriminant function can be use, with accent on the most informative variables. If results of 7 yrs. Boys are classified as results similar to 8 yrs. boys it would be possible to speak about effectiveness of physical education. For summarizing pedagogic control of 8 yrs. age boys' physical fitness results of 9 years old boys are benchmarks, providing they are accented on the most informative indicators of discriminant function.

Methodic of pedagogic control of 16-17 years’ age girls’ motor fitness

“…In previous works it was found that discriminant analysis can be effectively used in classification of boys and girls of secondary [23,24,28] and senior forms [21,22]. The received data point at prognostic significance of discriminant function in assessment of schoolchildren's motor and functional fitness [7].…”

Simulation of junior shcoolchildren’s training to acrobatic exercises and vaults

“…One of problems, which if faced by school physical education, is optimization of schoolchildren's training process [1,7,[25][26][27]. Works by O.V.…”

Structural model of in-group dynamic of 6-10 years old boys’ motor fitness

“…One of conditions of schoolchildren's motor fitness improvement is organization of pedagogic control at physical culture lessons [4,5,6,17,19,33,34,35,36,37], in conditions of sport training 3,18,16,17,27]. Effectiveness of pedagogic control depends on the presence of object of control and informative indicators characterizing change of its state.…”

“…Effectiveness of pedagogic control depends on the presence of object of control and informative indicators characterizing change of its state. In recent publications it has been determined that modeling is an effective method for receiving of new information concerning current and finalizing control on the base of testing of children's and adolescents' motor fitness [13,33,34,35,36,37]. One of methods of statistical modeling is factorial and discriminant analysis.…”

“…One of methods of statistical modeling is factorial and discriminant analysis. Effectiveness of their application is witnessed by the data of scientific literature [29,30,31,32,33,34,35,36,40]. The mentioned works note that it is necessary to search methodological approaches to solution of motor fitness problems and pedagogic control of children and adolescents.…”