The application of a multi-dimensional assessment approach to talent identification in Australian football

Woods, Carl T., Raynor, Annette J., Bruce, Lyndell, McDonald, Zane, and Robertson, Sam (2016) The application of a multi-dimensional assessment approach to talent identification in Australian football. Journal of Sports Sciences, 34 (14). pp. 1340-1345.

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This study investigated whether a multi-dimensional assessment could assist with talent identification in junior Australian football (AF). Participants were recruited from an elite under 18 (U18) AF competition and classified into two groups; talent identified (State U18 Academy representatives; n = 42; 17.6 ± 0.4 y) and non-talent identified (non-State U18 Academy representatives; n = 42; 17.4 ± 0.5 y). Both groups completed a multi-dimensional assessment, which consisted of physical (standing height, dynamic vertical jump height and 20 m multistage fitness test), technical (kicking and handballing tests) and perceptual-cognitive (video decision-making task) performance outcome tests. A multivariate analysis of variance tested the main effect of status on the test criterions, whilst a receiver operating characteristic curve assessed the discrimination provided from the full assessment. The talent identified players outperformed their non-talent identified peers in each test (P < 0.05). The receiver operating characteristic curve reflected near perfect discrimination (AUC = 95.4%), correctly classifying 95% and 86% of the talent identified and non-talent identified participants, respectively. When compared to single assessment approaches, this multi-dimensional assessment reflects a more comprehensive means of talent identification in AF. This study further highlights the importance of assessing multi-dimensional performance qualities when identifying talented team sports.

Item ID: 42335
Item Type: Article (Research - C1)
ISSN: 1466-447X
Keywords: talent identification; talent development; team sports; performance testing
Date Deposited: 04 May 2016 22:21
FoR Codes: 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420703 Motor control @ 100%
SEO Codes: 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100%
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