BACKGROUND:The triathlon is a combination of three diff erent types of sport -swimming, cycling, and running. Each of these requires diff erent top level predispositions and complex approach to talent selection is a rather diffi cult process. Attempts to identify assumptions in the triathlon have so far been specifi c and focused only on some groups of predispositions (physiology, motor tests, and psychology). The latest studies missed the structural approach and were based on determinants of sport performance, theory of sports training and expert assessment.OBJECTIVE: The aim of our study was to verify the model of predisposition in the short triathlon for talent assessment of young male athletes age 17-20 years.METHODS: The research sample consisted of 55 top level triathletes -men, who were included in the Government supported sports talent programme in the Czech Republic at the age of 17-20 years. We used a confi rmative factor analysis (FA) and Path diagram to verify the model, which allow us to explain mutual relationships among observed variables. For statistical data processing we used a structure equating modeling (SEM) by software Lisrel L88.
RESULTS:The study confi rms best structural model for talent selection in triathlon at the age of 17-20 years old men, which composed seventeen indicators (tests) and explained 91% of all cross-correlations (Goodness of Fit Index /GFI/ 0.91, Root Mean Square Residual /RMSR/ 0.13). Tests for predispositions in triathlons were grouped into fi ve items, three motor predispositions (swimming, cycling and running skills), aerobic and psychological predispositions. Aerobic predispositions showed the highest importance to the assumptions to the general factor (1.00; 0). Running predispositions were measured as a very signifi cant factor (-0.85; 0.28) which confi rms importance of this critical stage of the race. Lower factor weight showed clusters of swimming (-0.61; 0.63) and cycling (0.53; 0.72) predispositions. The psychological predispositions were found in the lowest eff ect (0.36; 0.87).CONCLUSIONS: We confi rm predispositions and tests for measurement of its level for top level male triathletes in the junior category. The model is in practice today in the Czech Republic, where we used the test standards for dividing Government support of athletic talent.