Predictors of Explosive Power, Anaerobic Capacity and Agility in Top Young Basketball Players : Undergraduate Thesis

Cilj ovog rada bio je utvrditi prediktore eksplozivne snage, anaerobnog kapaciteta i agilnosti kod vrhunskih mladih košarkaša pretkadetskog i kadetskog uzrasta. Uzorak ispitanika predstavljalo je 14 košarkaša kronološke dobi 13 - 15 godina. Uzorak varijabli sačinjavale su 4 morfološke mjere (visina tijela, tjelesna težina, raspon ruku te dohvatna visina), 5 mjera motoričkih sposobnosti (skok u vis iz mjesta, sprint 20m, pregibi trupa, lane agility, bacanje košarkaške lopte u dalj tehnikom dodavanja s prsiju) i jedna mjera specifičnih funkcionalnih sposobnosti (trčanje 300 yardi shuttle run), kojima se pokušala predstaviti struktura antropološkog statusa istraživane dobne skupine. Korištenjem višestruke regresijske analize nije identificirana statistički značajna povezanost među promatranim kriterijima i prediktorima. Rezultati implicitno ukazuju da promatrani multidimenzionalni konstrukti, trebaju biti opisani većim baterijama prediktorskih skupova varijabli što može biti cilj budućih znanstvenih istraživanja.The aim of this study was to determine predictors of explosive power, anaerobic capacity, and agility in top young pre-cadet and cadet basketball players. The sample examiner was represented by 14 basketball players chronological ages of 13 - 15 years. The sample of the variable consisted of 4 morphological measures (body height, body weight, arm span and reach height), 5 measures of motor skills (sargent, sprint 20 m, trunk flexion, lane agility, throwing a ball forward with chest pass technique) and one measure of specific functional abilities (300 yard shuttle run), which attempted to represent the anthropological structure of researched age group. Using of multiple regression analysis, no statistically significant correlation was identified between the observed criteria and the predictors. The results implicitly indicate that the observed multidimensional constructs, should be described with larger battery of predictor sets that may be the target of future scientific researches