Literature DB >> 26019058

Discriminating talent-identified junior Australian football players using a video decision-making task.

Carl T Woods1, Annette J Raynor1, Lyndell Bruce2, Zane McDonald1.   

Abstract

This study examined if a video decision-making task could discriminate talent-identified junior Australian football players from their non-talent-identified counterparts. Participants were recruited from the 2013 under 18 (U18) West Australian Football League competition and classified into two groups: talent-identified (State U18 Academy representatives; n = 25; 17.8 ± 0.5 years) and non-talent-identified (non-State U18 Academy selection; n = 25; 17.3 ± 0.6 years). Participants completed a video decision-making task consisting of 26 clips sourced from the Australian Football League game-day footage, recording responses on a sheet provided. A score of "1" was given for correct and "0" for incorrect responses, with the participants total score used as the criterion value. One-way analysis of variance tested the main effect of "status" on the task criterion, whilst a bootstrapped receiver operating characteristic (ROC) curve assessed the discriminant ability of the task. An area under the curve (AUC) of 1 (100%) represented perfect discrimination. Between-group differences were evident (P < 0.05) and the ROC curve was maximised with a score of 15.5/26 (60%) (AUC = 89.0%), correctly classifying 92% and 76% of the talent-identified and non-talent-identified participants, respectively. Future research should investigate the mechanisms leading to the superior decision-making observed in the talent-identified group.

Entities:  

Keywords:  discriminant analysis; expert performance; talent identification; team sports

Mesh:

Year:  2015        PMID: 26019058     DOI: 10.1080/02640414.2015.1053512

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  7 in total

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2.  Applied Sport Science of Australian Football: A Systematic Review.

Authors:  Rich D Johnston; Georgia M Black; Peter W Harrison; Nick B Murray; Damien J Austin
Journal:  Sports Med       Date:  2018-07       Impact factor: 11.136

3.  Content Validity and Psychometric Properties of the Nomination Scale for Identifying Football Talent (NSIFT): Application to Coaches, Parents and Players.

Authors:  Alejandro Prieto-Ayuso; Juan Carlos Pastor-Vicedo; Onofre Contreras-Jordán
Journal:  Sports (Basel)       Date:  2017-01-01

4.  An eye for talent: The recruiters' role in the Australian Football talent pathway.

Authors:  Paul Larkin; Daryl Marchant; Amy Syder; Damian Farrow
Journal:  PLoS One       Date:  2020-11-02       Impact factor: 3.240

Review 5.  Future Directions and Considerations for Talent Identification in Australian Football.

Authors:  Nathan Bonney; Paul Larkin; Kevin Ball
Journal:  Front Sports Act Living       Date:  2020-11-30

6.  Interdisciplinary Sport Research Can Better Predict Competition Performance, Identify Individual Differences, and Quantify Task Representation.

Authors:  Ben Piggott; Sean Müller; Paola Chivers; Ashley Cripps; Gerard Hoyne
Journal:  Front Sports Act Living       Date:  2020-02-27

7.  Movement Competency Training Delivery: At School or Online? A Pilot Study of High-School Athletes.

Authors:  Simon A Rogers; Peter Hassmén; Alexandra H Roberts; Alison Alcock; Wendy L Gilleard; John S Warmenhoven
Journal:  Sports (Basel)       Date:  2020-03-26
  7 in total

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