RMIT University
Browse

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

journal contribution
posted on 2024-11-02, 01:10 authored by Carl Woods, Annette Raynor, Lyndell Bruce, Zane McDonald, Sam Robertson
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.

History

Journal

Journal of Sports Sciences

Volume

34

Issue

14

Start page

1340

End page

1345

Total pages

6

Publisher

Routledge

Place published

United Kingdom

Language

English

Copyright

© 2016 Informa UK Limited, trading as Taylor and Francis Group

Former Identifier

2006062349

Esploro creation date

2020-06-22

Fedora creation date

2016-06-08

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC