The prevalence of relative age effects and the influence of the talent pool size on Australian male and female youth football.
- Publisher:
- Taylor & Francis
- Publication Type:
- Journal Article
- Citation:
- J Sports Sci, 2023, 41, (2), pp. 172-180
- Issue Date:
- 2023-01
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Full metadata record
| Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bennett, KJM | |
| dc.contributor.author | Novak, AR | |
| dc.contributor.author |
Fransen, J |
|
| dc.contributor.author |
Duffield, R |
|
| dc.date.accessioned | 2023-09-11T05:47:06Z | |
| dc.date.available | 2023-09-11T05:47:06Z | |
| dc.date.issued | 2023-01 | |
| dc.identifier.citation | J Sports Sci, 2023, 41, (2), pp. 172-180 | |
| dc.identifier.issn | 0264-0414 | |
| dc.identifier.issn | 1466-447X | |
| dc.identifier.uri | http://hdl.handle.net/10453/172036 | |
| dc.description.abstract | The current study explored the association between talent pool size and relative age effects in Football Australia's talent pathway. It also compared relative age effects between male and female players. Participants were 54,207 youth football players (females: n = 12,527, age-range = 14.0-15.9; males: n = 41,680, age-range = 13.0-14.9) eligible for the National Youth Championships. We developed linear regression models to examine the association between the member federation size and the probability of a player being born earlier in the year. We also analysed selection probabilities based on birth quartile and year half across three layers. Overall, talent pool size was associated with a higher probability of selecting a player born in the first half of the year over the second. More specifically, an increase of 760 players led to a 1% higher selection probability for those born in the first six months of a chronological age group. In addition, there were more occurrences of relative age effects in the male than the female sample. Future studies should focus on the impact of the talent pool size on relative age effects at each major talent identification/selection stage of a talent pathway. | |
| dc.format | Print-Electronic | |
| dc.language | eng | |
| dc.publisher | Taylor & Francis | |
| dc.relation.ispartof | J Sports Sci | |
| dc.relation.isbasedon | 10.1080/02640414.2023.2204582 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | “This is an Accepted Manuscript of an article published by Taylor & Francis in Fashion Theory on 9 June 2023, available online: http://www.tandfonline.com/doi.org/10.1080/02640414.2023.2204582” | |
| dc.subject | 1106 Human Movement and Sports Sciences, 1302 Curriculum and Pedagogy | |
| dc.subject.classification | Sport Sciences | |
| dc.subject.classification | 3202 Clinical sciences | |
| dc.subject.classification | 4207 Sports science and exercise | |
| dc.subject.classification | 5201 Applied and developmental psychology | |
| dc.subject.mesh | Adolescent | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Age Factors | |
| dc.subject.mesh | Aptitude | |
| dc.subject.mesh | Athletic Performance | |
| dc.subject.mesh | Australia | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Soccer | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Aptitude | |
| dc.subject.mesh | Age Factors | |
| dc.subject.mesh | Soccer | |
| dc.subject.mesh | Adolescent | |
| dc.subject.mesh | Australia | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Athletic Performance | |
| dc.subject.mesh | Adolescent | |
| dc.subject.mesh | Female | |
| dc.subject.mesh | Humans | |
| dc.subject.mesh | Male | |
| dc.subject.mesh | Age Factors | |
| dc.subject.mesh | Aptitude | |
| dc.subject.mesh | Athletic Performance | |
| dc.subject.mesh | Australia | |
| dc.subject.mesh | Prevalence | |
| dc.subject.mesh | Soccer | |
| dc.title | The prevalence of relative age effects and the influence of the talent pool size on Australian male and female youth football. | |
| dc.type | Journal Article | |
| utslib.citation.volume | 41 | |
| utslib.location.activity | England | |
| utslib.for | 1106 Human Movement and Sports Sciences | |
| utslib.for | 1302 Curriculum and Pedagogy | |
| pubs.organisational-group | /University of Technology Sydney | |
| pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
| pubs.organisational-group | /University of Technology Sydney/Strength - CHSP - Health Services and Practice | |
| pubs.organisational-group | /University of Technology Sydney/Strength - HPRC - Human Performance Research Centre | |
| utslib.copyright.status | open_access | * |
| dc.date.updated | 2023-09-11T05:47:05Z | |
| pubs.issue | 2 | |
| pubs.publication-status | Published | |
| pubs.volume | 41 | |
| utslib.citation.issue | 2 |
Abstract:
The current study explored the association between talent pool size and relative age effects in Football Australia's talent pathway. It also compared relative age effects between male and female players. Participants were 54,207 youth football players (females: n = 12,527, age-range = 14.0-15.9; males: n = 41,680, age-range = 13.0-14.9) eligible for the National Youth Championships. We developed linear regression models to examine the association between the member federation size and the probability of a player being born earlier in the year. We also analysed selection probabilities based on birth quartile and year half across three layers. Overall, talent pool size was associated with a higher probability of selecting a player born in the first half of the year over the second. More specifically, an increase of 760 players led to a 1% higher selection probability for those born in the first six months of a chronological age group. In addition, there were more occurrences of relative age effects in the male than the female sample. Future studies should focus on the impact of the talent pool size on relative age effects at each major talent identification/selection stage of a talent pathway.
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