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The application of a multi-dimensional assessment approach to talent identification in Australian football
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 =...
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Published in: | Journal of sports sciences 2016-07, Vol.34 (14), p.1340-1345 |
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creator | Woods, Carl T. Raynor, Annette J. Bruce, Lyndell McDonald, Zane Robertson, Sam |
description | 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 |
doi_str_mv | 10.1080/02640414.2016.1142668 |
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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.</description><identifier>ISSN: 0264-0414</identifier><identifier>EISSN: 1466-447X</identifier><identifier>DOI: 10.1080/02640414.2016.1142668</identifier><identifier>PMID: 26862858</identifier><language>eng</language><publisher>England: Routledge</publisher><subject>Adolescent ; Aptitude ; Australia ; Australian football ; Body Height ; Exercise Test - methods ; Humans ; Male ; Motor Skills ; performance testing ; Soccer ; talent development ; Talent identification ; Task Performance and Analysis ; team sports</subject><ispartof>Journal of sports sciences, 2016-07, Vol.34 (14), p.1340-1345</ispartof><rights>2016 Informa UK Limited, trading as Taylor & Francis Group 2016</rights><rights>2016 Informa UK Limited, trading as Taylor & Francis Group</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c427t-58e463dc14a53dcd20babe2c7e05a38b67d24b744e3522061d1a418b161aff4d3</citedby><cites>FETCH-LOGICAL-c427t-58e463dc14a53dcd20babe2c7e05a38b67d24b744e3522061d1a418b161aff4d3</cites><orcidid>0000-0002-8330-0011</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26862858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Woods, Carl T.</creatorcontrib><creatorcontrib>Raynor, Annette J.</creatorcontrib><creatorcontrib>Bruce, Lyndell</creatorcontrib><creatorcontrib>McDonald, Zane</creatorcontrib><creatorcontrib>Robertson, Sam</creatorcontrib><title>The application of a multi-dimensional assessment approach to talent identification in Australian football</title><title>Journal of sports sciences</title><addtitle>J Sports Sci</addtitle><description>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.</description><subject>Adolescent</subject><subject>Aptitude</subject><subject>Australia</subject><subject>Australian football</subject><subject>Body Height</subject><subject>Exercise Test - methods</subject><subject>Humans</subject><subject>Male</subject><subject>Motor Skills</subject><subject>performance testing</subject><subject>Soccer</subject><subject>talent development</subject><subject>Talent identification</subject><subject>Task Performance and Analysis</subject><subject>team sports</subject><issn>0264-0414</issn><issn>1466-447X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqNkU2LFDEQhoMo7rj6E5SAFy89JunqdObmsvgFC15W8BaqOwmbId0ZkzSy_940PePBg3ipooqn3krqJeQ1Z3vOFHvPhAQGHPaCcbnnHISU6gnZcZCyAeh_PCW7lWlW6Iq8yPnIGAfe8efkSkglherUjhzvHyzF0yn4EYuPM42OIp2WUHxj_GTnXJsYKOZsc651WekUcXygJdKCYW15U6N3Fw0_05sll4TB40xdjGXAEF6SZw5Dtq_O-Zp8__Tx_vZLc_ft89fbm7tmBNGXplMWZGtGDtjVZAQbcLBi7C3rsFWD7I2AoQewbScEk9xwBK4GLjk6B6a9Ju823frMn4vNRU8-jzYEnG1csub9gR3q7w_yP1AFUO_cr-jbv9BjXFI9zUYJdtiobqPGFHNO1ulT8hOmR82ZXn3TF9_06ps--1bn3pzVl2Gy5s_UxagKfNgAP7uYJvwVUzC64GOIySWcR591--8dvwG72Kds</recordid><startdate>20160717</startdate><enddate>20160717</enddate><creator>Woods, Carl T.</creator><creator>Raynor, Annette J.</creator><creator>Bruce, Lyndell</creator><creator>McDonald, Zane</creator><creator>Robertson, Sam</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8330-0011</orcidid></search><sort><creationdate>20160717</creationdate><title>The application of a multi-dimensional assessment approach to talent identification in Australian football</title><author>Woods, Carl T. ; Raynor, Annette J. ; Bruce, Lyndell ; McDonald, Zane ; Robertson, Sam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-58e463dc14a53dcd20babe2c7e05a38b67d24b744e3522061d1a418b161aff4d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Aptitude</topic><topic>Australia</topic><topic>Australian football</topic><topic>Body Height</topic><topic>Exercise Test - methods</topic><topic>Humans</topic><topic>Male</topic><topic>Motor Skills</topic><topic>performance testing</topic><topic>Soccer</topic><topic>talent development</topic><topic>Talent identification</topic><topic>Task Performance and Analysis</topic><topic>team sports</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Woods, Carl T.</creatorcontrib><creatorcontrib>Raynor, Annette J.</creatorcontrib><creatorcontrib>Bruce, Lyndell</creatorcontrib><creatorcontrib>McDonald, Zane</creatorcontrib><creatorcontrib>Robertson, Sam</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of sports sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Woods, Carl T.</au><au>Raynor, Annette J.</au><au>Bruce, Lyndell</au><au>McDonald, Zane</au><au>Robertson, Sam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The application of a multi-dimensional assessment approach to talent identification in Australian football</atitle><jtitle>Journal of sports sciences</jtitle><addtitle>J Sports Sci</addtitle><date>2016-07-17</date><risdate>2016</risdate><volume>34</volume><issue>14</issue><spage>1340</spage><epage>1345</epage><pages>1340-1345</pages><issn>0264-0414</issn><eissn>1466-447X</eissn><abstract>This study investigated whether a multi-dimensional assessment could assist with talent identification in junior Australian football (AF). 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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.</abstract><cop>England</cop><pub>Routledge</pub><pmid>26862858</pmid><doi>10.1080/02640414.2016.1142668</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0002-8330-0011</orcidid></addata></record> |
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subjects | Adolescent Aptitude Australia Australian football Body Height Exercise Test - methods Humans Male Motor Skills performance testing Soccer talent development Talent identification Task Performance and Analysis team sports |
title | The application of a multi-dimensional assessment approach to talent identification in Australian football |
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