Die voorspelling van volgehoue sport-prestasie van mansatlete

Enquiries indicated that South African universities need a scientific prediction model for sustained achievement in sport with the eye on bursary allocations. This study focussed on the development of a prediction model for continuous achievement in athletics at university. The prediction model was based on personality variables as the literature indicates that a significant relationship exists between personality and achievement in sport. The prediction model was developed with the aid of stepwise discriminant analysis. The subjects consisted of 40 male athletes at UOFS. These athletes were classified into three groups according to their participation and achievement in athletics, namely a group of athletes classified as provincial, national or first team (hereafter referred to as the good group), an average group and a group consisting of those who gave up participating in athletics. Results indicated that the discriminant function correctly placed 6 of the 14 members of the good group, 9 of the 12 members of the average group and 5 of the 14 members of those who gave up participating in athletics. This means that the discriminant function correctly placed 50% of the subjects. With regard to the cross validation group the percentage of correct placements was only 45%. The low percentage of correct placements of the cross validation group indicates that the personality variables used in the discriminant analysis successfully discriminated among different groups of athletes, but the discrimination cannot be used for purposes of prediction

Athletes · Discriminant function analysis · Linear discriminant analysis · Personality · Physical therapy · Statistics · Applied Psychology · Clinical Psychology · Mathematics · Medicine · Psychology · Social Psychology · Sports Analytics and Performance · Sports Performance and Training

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