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EN
Background: The purpose of this study was to design a factor model whose application would refine the diagnostics of actual and continuous states in ice hockey players.Material/Methods: The following batteries of tests were used: Test battery 1 serves as a monitoring tool for the Methods Department of Slovak Ice Hockey Federation. Test battery 2 was designed on the basis of previous empirical evidence. A comparative analysis of the batteries was aimed at the qualitative aspect of the criteria of the individual test items.Results: The results showed partial incompleteness of the battery and a need to complement the battery with test items that would be more indicative of skating performance. The saturation of five factors within test battery 2 demonstrated a hierarchy of individual parameters, which were actually indicative of skating performance.Conclusions: With a high degree of probability, one may conclude the incidence of a common base of running parameters (factor model 1), which despite a different character of loading shared an identical base. This contradiction represents a certain knowledge paradox indicating that the implementation of these items into the test battery does not sufficiently assess general fitness in ice hockey players making their number redundant.
EN
With a sample of 29 of the best Slovenian ski jumpers, a research project was carried out with the purpose of determining the structure relation of chosen dynamic and kinematic variables during the take-off of ski jumpers. The experiment was performed in August 2008 on the jumping hill in Hinterzarten, Germany (K=95m). The subjects jumped seven times without breaks between rounds. The analysis was done on variables that determine the technique of take-off in ski jumping (in-run velocity - km/h, vertical take-off velocity - m/s, precision of take-off - cm). The criteria variable was the length of the jump (m). The variability of the long distance of the jumps was significantly strong. The reliability of all used multi-item variables was high and satisfactory in most variables (in-run velocity - 0.98, vertical take-off velocity - 0.98, precision of take-off - 0.85, length of the jump - 0.95). The factor analysis produced an independent latent structure (explanation of variance = 93.3%) of five specific factors (1. in-run velocity connected to distance jumped (39.8 % of VAR.), 2. vertical take-off velocity strongly connected to distance jumped (26.0 % of VAR.), 3. precision of take-off partly connected to distance jumped (14.9 % of VAR.), 4. precision of take-off in the 7th round (6.7 % of VAR.), 5. precision at take-off in the 4th round (5.7 % of VAR.). The present factor structure confirms the hypothetical model of three independent motor tasks to be optimally realized in the take-off of the ski jumper. Criteria variables influencing the length of jumps were mainly associated with the first two factors, which confirm the basic hypothesis that the length of the jump reflects the overall output quality of the first two factors. The accurancy factor of take-off affects the length of the jumps indirectly and latently through these two fundamental factors.
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