Research
Relations between Anthropometric Dimensions and Overcome Resistance in Individual Motion
The research was carried out on a sample of 124 subjects, 15-16 year old males. An analysis was performed of the relations of anthropometric body characteristics and overcome resistance in individual motion. Obtained information was submitted for mathematical analysis, the MULTREG program, from the statistical program “STAT – PACK†(Gauss – Jordan, 1954, Cooley – Lohnes, 1962). On the basis of maximum cohesion and regressive coefficients, variables that measured body volume, transversal skeletal dimension and longitudinal skeletal dimension have the highest cohesion with the overcome maximum resistance in individual motion from anthropometric body characteristics. The weakest contribution to predicting resistance lies within the variables that measured subcutaneous adipose tissue. High cohesion of variables of the overcome maximum resistance in individual motion with anthropometric body characteristics indicates that a part of the resistance variable in motion is conditioned by mutable flexible anthropometric values. As the overcome maximum resistance in motion is mainly conditioned by the structure for generating intensity and duration of energy release, thus the anthropometric dimensions, especially in the volume segment, body volume and transversal skeletal dimensionality, present a factor that significantly participates in the realization of motion with increased requirements for overcoming maximum resistance in motion.
Predictive Values of Motor Dimensions in Motor Space
The research was carried out on a sample of 256 subjects, 15 year old males, obtained from high school student population; a battery of 35 motor tests was used. In the aim of determining the latent structure manifesting motor space the method of main components was applied and thus the factor scores were define Hotelling, H. (1933). For the purpose of determining the relations between the predictive (the motor dimension space) variables and the criteria-based variable (the entire motor space) the coefficient of regression in a latent space was calculated. Through inspection of the results of regressive coefficients it is concluded that the cohesion between systems of predictors and criteria is mainly heterogeneous. The best projections and thus predictive values include: the repetitive strength factor (RF), the velocity factor (VF), the static strength factor (SF), and the explosive strength factor (EF). It is evident that all these factors belong to reactions that are mostly dependent on the process of regulating excitations that represent the existence of the first factor, that is, the general factor of excitation control. Poorer predictive abilities in terms of motor space have the preciseness factor (PF), the flexibility factor (FF), and the coordination (CF), while the balance factor (BaF) is attributed to the weakest predictive ability. Considering the obtained results, a necessity for applying contemporary methods of research within the scope of motor space is displayed. This requires a new, more contemporary way of researching motor space.
