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Kinesiology, Vol. 55 No. 1, 2023.

Original scientific paper

https://doi.org/10.26582/k.55.1.13

Relative age effect in young competitive tennis players

Mustafa Söğüt orcid id orcid.org/0000-0003-1826-8235 ; Department of Physical Education and Sports, Faculty of Education, Middle East Technical University, Ankara, Türkiye
Koray Biber orcid id orcid.org/0000-0003-0249-1934 ; Department of Physical Education and Sports, Faculty of Education, Middle East Technical University, Ankara, Türkiye
Hasan Ödemiş orcid id orcid.org/0000-0001-9598-6404 ; Department of Physical Education and Sports, Faculty of Education, Middle East Technical University, Ankara, Türkiye
Durukan Durmuş orcid id orcid.org/0000-0002-4174-5661 ; Department of Physical Education and Sports, Faculty of Education, Middle East Technical University, Ankara, Türkiye; Department of Coaching Education, Faculty of Sport Sciences, Gazi University, Ankara, Türkiye
İsmet Tarık Ulusoy orcid id orcid.org/0000-0002-9586-9598 ; Department of Physical Education and Sports, Faculty of Education, Middle East Technical University, Ankara, Türkiye; Department of Physical Education and Sports Teaching, Faculty of Sports Sciences, İstanbul Aydın University, İstanbul, Türkiye

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Abstract

The purpose of this study was to examine the presence of the relative age effect (RAE) in young tennis players. Data from a sample of all ranked (n= 3463) and licensed (n= 29150) players in consecutive age groups (10- to 17-year-old) were collected from the official web page of the national federation. They were assigned to four quartiles according to the month of birth: a) Quartile 1 = January-February-March, b) Quartile 2 = April-May-June, c) Quartile 3 = July-August-September, d) Quartile 4 = October-November-December. The players aged between 10 and 17 years affiliated with the national federation were assigned as theoretically expected distribution. The results revealed that 70%, 60.1%, and 56.6% of the top 10, 50, and all ranked players were born in the first half of the year, respectively. However, the results from the chi-square test of goodness-of-fit showed significant RAEs only in the distributions of all ranked and top 50 players at the age of 10 and 11 correspondingly. These results may suggest that RAE exists among young tennis players who are in their early adolescence years.

Keywords

racket sports; talent identification; biological age; physical growth; maturation

Hrčak ID:

301555

URI

https://hrcak.srce.hr/301555

Publication date:

30.6.2023.

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