A comparison of multidimensional qualities discriminant of selection in elite adolescent Australian basketball athletes
The aims of this study were to (1) quantify the multidimensional attributes of male and female basketball athletes under 16 years of age (U16) and under 18 years of age (U18), and (2) identify attributes that distinguish selection into a talent pathway according to sex and age group. 67 male and 71...
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| creator | Joseph, Jacob McIntyre, Fleur Joyce, Christopher Scanlan, Aaron Cripps, Ashley |
| description | The aims of this study were to (1) quantify the multidimensional attributes of male and female basketball athletes under 16 years of age (U16) and under 18 years of age (U18), and (2) identify attributes that distinguish selection into a talent pathway according to sex and age group.
67 male and 71 female athletes competing in U16 and U18 selection trials for a state based Australian basketball talent pathway completed a multidimensional testing battery. The test battery consisted of anthropometric, physical (20- linear sprint, countermovement jump height, Yo-Yo Intermittent Recovery Test Level 2), technical (Basketball Jump Shooting Accuracy Test), tactical (video decision making), and psychological (Sports Orientation Questionnaire, Psychological Performance Inventory-Alternative) assessments. Mean differences and independent t-tests were used to assess comparative differences between selected and non-selected athletes within each age and sex cohort. Stepwise discriminant analyses were used to identify attributes that were the strongest discriminators of selection in each group (male U16, male U18, female U16, and female U18).
The discrimminant models showed for male U16 athletes smaller height (ES = -0.18) and greater shooting accuracy (ES = 0.52) was most discriminant of selection. Results were largely homogenous for male U18 athletes with lower visualisation score (ES = -0.62) most discriminant of selection. In female cohorts, faster 20-m sprint time (ES = -0.66) and taller height (ES = 0.58) was most discriminant of selection in U16 athletes while greater shooting accuracy (ES = 0.67), countermovement jump height (ES = 1.04), and height (ES = 0.65) was most discriminant of selection in U18 athletes.
These results emphasise the differing selection priorities within adolescent basketball cohorts according to sex and age group. The testing of anthropometric, physical and technical attributes may hold particular utility in adolescent female basketball given their identified importance to selection across U16 and U18 cohorts. |
| doi_str_mv | 10.1371/journal.pone.0256032 |
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67 male and 71 female athletes competing in U16 and U18 selection trials for a state based Australian basketball talent pathway completed a multidimensional testing battery. The test battery consisted of anthropometric, physical (20- linear sprint, countermovement jump height, Yo-Yo Intermittent Recovery Test Level 2), technical (Basketball Jump Shooting Accuracy Test), tactical (video decision making), and psychological (Sports Orientation Questionnaire, Psychological Performance Inventory-Alternative) assessments. Mean differences and independent t-tests were used to assess comparative differences between selected and non-selected athletes within each age and sex cohort. Stepwise discriminant analyses were used to identify attributes that were the strongest discriminators of selection in each group (male U16, male U18, female U16, and female U18).
The discrimminant models showed for male U16 athletes smaller height (ES = -0.18) and greater shooting accuracy (ES = 0.52) was most discriminant of selection. Results were largely homogenous for male U18 athletes with lower visualisation score (ES = -0.62) most discriminant of selection. In female cohorts, faster 20-m sprint time (ES = -0.66) and taller height (ES = 0.58) was most discriminant of selection in U16 athletes while greater shooting accuracy (ES = 0.67), countermovement jump height (ES = 1.04), and height (ES = 0.65) was most discriminant of selection in U18 athletes.
These results emphasise the differing selection priorities within adolescent basketball cohorts according to sex and age group. The testing of anthropometric, physical and technical attributes may hold particular utility in adolescent female basketball given their identified importance to selection across U16 and U18 cohorts.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0256032</identifier><identifier>PMID: 34388186</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adolescents ; Age ; Age groups ; Anthropometry ; Anthropometry - methods ; Aptitude - classification ; Athletes ; Athletes - classification ; Athletic Performance - physiology ; Athletic Performance - statistics & numerical data ; Australia ; Australian football ; Basketball ; Basketball - statistics & numerical data ; Biology and Life Sciences ; Body Height - physiology ; Body measurements ; Coaches & managers ; Data collection ; Decision making ; Demographic aspects ; Discriminant Analysis ; Discriminators ; Exercise Test - methods ; Female ; Health sciences ; Height ; Humans ; Jumping ; Male ; Males ; Medicine and Health Sciences ; People and Places ; Physical fitness ; Physical Fitness - physiology ; Physical Fitness - psychology ; Sex ; Sexes ; Social Sciences ; Success ; Teams ; Teenage athletes ; Teenagers</subject><ispartof>PloS one, 2021-08, Vol.16 (8), p.e0256032-e0256032</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Joseph et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Joseph et al 2021 Joseph et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-ab8c83e4eb0882482f2cdaf1b793275ccc2065d1bebcb564d1ba1fa2ca5ed523</citedby><cites>FETCH-LOGICAL-c692t-ab8c83e4eb0882482f2cdaf1b793275ccc2065d1bebcb564d1ba1fa2ca5ed523</cites><orcidid>0000-0001-7706-2523 ; 0000-0001-8567-5143</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362962/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362962/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34388186$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Clemente, Filipe Manuel</contributor><creatorcontrib>Joseph, Jacob</creatorcontrib><creatorcontrib>McIntyre, Fleur</creatorcontrib><creatorcontrib>Joyce, Christopher</creatorcontrib><creatorcontrib>Scanlan, Aaron</creatorcontrib><creatorcontrib>Cripps, Ashley</creatorcontrib><title>A comparison of multidimensional qualities discriminant of selection in elite adolescent Australian basketball athletes</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The aims of this study were to (1) quantify the multidimensional attributes of male and female basketball athletes under 16 years of age (U16) and under 18 years of age (U18), and (2) identify attributes that distinguish selection into a talent pathway according to sex and age group.
67 male and 71 female athletes competing in U16 and U18 selection trials for a state based Australian basketball talent pathway completed a multidimensional testing battery. The test battery consisted of anthropometric, physical (20- linear sprint, countermovement jump height, Yo-Yo Intermittent Recovery Test Level 2), technical (Basketball Jump Shooting Accuracy Test), tactical (video decision making), and psychological (Sports Orientation Questionnaire, Psychological Performance Inventory-Alternative) assessments. Mean differences and independent t-tests were used to assess comparative differences between selected and non-selected athletes within each age and sex cohort. Stepwise discriminant analyses were used to identify attributes that were the strongest discriminators of selection in each group (male U16, male U18, female U16, and female U18).
The discrimminant models showed for male U16 athletes smaller height (ES = -0.18) and greater shooting accuracy (ES = 0.52) was most discriminant of selection. Results were largely homogenous for male U18 athletes with lower visualisation score (ES = -0.62) most discriminant of selection. In female cohorts, faster 20-m sprint time (ES = -0.66) and taller height (ES = 0.58) was most discriminant of selection in U16 athletes while greater shooting accuracy (ES = 0.67), countermovement jump height (ES = 1.04), and height (ES = 0.65) was most discriminant of selection in U18 athletes.
These results emphasise the differing selection priorities within adolescent basketball cohorts according to sex and age group. The testing of anthropometric, physical and technical attributes may hold particular utility in adolescent female basketball given their identified importance to selection across U16 and U18 cohorts.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Age</subject><subject>Age groups</subject><subject>Anthropometry</subject><subject>Anthropometry - methods</subject><subject>Aptitude - classification</subject><subject>Athletes</subject><subject>Athletes - classification</subject><subject>Athletic Performance - physiology</subject><subject>Athletic Performance - statistics & numerical data</subject><subject>Australia</subject><subject>Australian football</subject><subject>Basketball</subject><subject>Basketball - statistics & numerical data</subject><subject>Biology and Life Sciences</subject><subject>Body Height - physiology</subject><subject>Body measurements</subject><subject>Coaches & managers</subject><subject>Data collection</subject><subject>Decision making</subject><subject>Demographic aspects</subject><subject>Discriminant Analysis</subject><subject>Discriminators</subject><subject>Exercise Test - methods</subject><subject>Female</subject><subject>Health sciences</subject><subject>Height</subject><subject>Humans</subject><subject>Jumping</subject><subject>Male</subject><subject>Males</subject><subject>Medicine and Health Sciences</subject><subject>People and Places</subject><subject>Physical fitness</subject><subject>Physical Fitness - physiology</subject><subject>Physical Fitness - psychology</subject><subject>Sex</subject><subject>Sexes</subject><subject>Social Sciences</subject><subject>Success</subject><subject>Teams</subject><subject>Teenage athletes</subject><subject>Teenagers</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjPloMu2NMCx-DCws6OJtOE1OZ7KmzWyT-vHvTZ3uMpW9kFw0pM95zzlvcrLsOSVLylf03bUf-g7ccu87XBImJOHsQXZKK84WkhH-8Gh_kj0J4ZoQwUspH2cnvOBlSUt5mv1c59q3e-ht8F3um7wdXLTGttgF65N-fjOAs9FiyI0Nuret7aCLIxrQoY6Jym2XY4IwB-MdBo0JWA8h9ikUuryG8B1jDc7lEHcOI4an2aMGXMBn0_csu_r44er88-Li8tPmfH2x0LJicQF1qUuOBdakLFlRsoZpAw2tV6m1ldBaMyKFoTXWuhaySDugDTANAo1g_Cx7eZDdOx_UZFlQyS1KViL5k4jNgTAertU-9Qf9b-XBqr8Hvt8q6KPVDhVnhFFaGTQNKQRoaJoaTEG4qCoURZm03k_ZhrpFM9qQHJiJzv90dqe2_ocquWSVHMt9Mwn0_mbAEFWbPEfnoEM_HOpOeSo21v3qH_T-7iZqC6kB2zU-5dWjqFrLFa2kIJQkankPlZbB1ur0vhqbzmcBb2cBiYn4K25hCEFtvn75f_by25x9fcTuEFzcBe-G8ZGFOVgcQN37EHps7kymRI3jceuGGsdDTeORwl4cX9Bd0O088D_MLg26</recordid><startdate>20210813</startdate><enddate>20210813</enddate><creator>Joseph, Jacob</creator><creator>McIntyre, Fleur</creator><creator>Joyce, Christopher</creator><creator>Scanlan, Aaron</creator><creator>Cripps, Ashley</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7706-2523</orcidid><orcidid>https://orcid.org/0000-0001-8567-5143</orcidid></search><sort><creationdate>20210813</creationdate><title>A comparison of multidimensional qualities discriminant of selection in elite adolescent Australian basketball athletes</title><author>Joseph, Jacob ; McIntyre, Fleur ; Joyce, Christopher ; Scanlan, Aaron ; Cripps, Ashley</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-ab8c83e4eb0882482f2cdaf1b793275ccc2065d1bebcb564d1ba1fa2ca5ed523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adolescent</topic><topic>Adolescents</topic><topic>Age</topic><topic>Age groups</topic><topic>Anthropometry</topic><topic>Anthropometry - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Joseph, Jacob</au><au>McIntyre, Fleur</au><au>Joyce, Christopher</au><au>Scanlan, Aaron</au><au>Cripps, Ashley</au><au>Clemente, Filipe Manuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparison of multidimensional qualities discriminant of selection in elite adolescent Australian basketball athletes</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-08-13</date><risdate>2021</risdate><volume>16</volume><issue>8</issue><spage>e0256032</spage><epage>e0256032</epage><pages>e0256032-e0256032</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The aims of this study were to (1) quantify the multidimensional attributes of male and female basketball athletes under 16 years of age (U16) and under 18 years of age (U18), and (2) identify attributes that distinguish selection into a talent pathway according to sex and age group.
67 male and 71 female athletes competing in U16 and U18 selection trials for a state based Australian basketball talent pathway completed a multidimensional testing battery. The test battery consisted of anthropometric, physical (20- linear sprint, countermovement jump height, Yo-Yo Intermittent Recovery Test Level 2), technical (Basketball Jump Shooting Accuracy Test), tactical (video decision making), and psychological (Sports Orientation Questionnaire, Psychological Performance Inventory-Alternative) assessments. Mean differences and independent t-tests were used to assess comparative differences between selected and non-selected athletes within each age and sex cohort. Stepwise discriminant analyses were used to identify attributes that were the strongest discriminators of selection in each group (male U16, male U18, female U16, and female U18).
The discrimminant models showed for male U16 athletes smaller height (ES = -0.18) and greater shooting accuracy (ES = 0.52) was most discriminant of selection. Results were largely homogenous for male U18 athletes with lower visualisation score (ES = -0.62) most discriminant of selection. In female cohorts, faster 20-m sprint time (ES = -0.66) and taller height (ES = 0.58) was most discriminant of selection in U16 athletes while greater shooting accuracy (ES = 0.67), countermovement jump height (ES = 1.04), and height (ES = 0.65) was most discriminant of selection in U18 athletes.
These results emphasise the differing selection priorities within adolescent basketball cohorts according to sex and age group. The testing of anthropometric, physical and technical attributes may hold particular utility in adolescent female basketball given their identified importance to selection across U16 and U18 cohorts.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34388186</pmid><doi>10.1371/journal.pone.0256032</doi><tpages>e0256032</tpages><orcidid>https://orcid.org/0000-0001-7706-2523</orcidid><orcidid>https://orcid.org/0000-0001-8567-5143</orcidid><oa>free_for_read</oa></addata></record> |
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| issn | 1932-6203 1932-6203 |
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| source | Public Library of Science (PLoS) Journals Open Access; Open Access: PubMed Central; MEDLINE; Directory of Open Access Journals; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library |
| subjects | Adolescent Adolescents Age Age groups Anthropometry Anthropometry - methods Aptitude - classification Athletes Athletes - classification Athletic Performance - physiology Athletic Performance - statistics & numerical data Australia Australian football Basketball Basketball - statistics & numerical data Biology and Life Sciences Body Height - physiology Body measurements Coaches & managers Data collection Decision making Demographic aspects Discriminant Analysis Discriminators Exercise Test - methods Female Health sciences Height Humans Jumping Male Males Medicine and Health Sciences People and Places Physical fitness Physical Fitness - physiology Physical Fitness - psychology Sex Sexes Social Sciences Success Teams Teenage athletes Teenagers |
| title | A comparison of multidimensional qualities discriminant of selection in elite adolescent Australian basketball athletes |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T10%3A27%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20comparison%20of%20multidimensional%20qualities%20discriminant%20of%20selection%20in%20elite%20adolescent%20Australian%20basketball%20athletes&rft.jtitle=PloS%20one&rft.au=Joseph,%20Jacob&rft.date=2021-08-13&rft.volume=16&rft.issue=8&rft.spage=e0256032&rft.epage=e0256032&rft.pages=e0256032-e0256032&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0256032&rft_dat=%3Cgale_plos_%3EA671965010%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2561075193&rft_id=info:pmid/34388186&rft_galeid=A671965010&rft_doaj_id=oai_doaj_org_article_3202119dedf045acaffbad403599e548&rfr_iscdi=true |