Computational protocol: Maturity status influences the relative age effect in national top level youth alpine ski racing and soccer

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Protocol publication

[…] To assess the difference between the observed and the expected relative age quarter distributions, chi2-tests (χ2) were used for the two groups of athletes (ski racers and soccer players). The relative age quarter distribution of the comparison group of non-athletes, which corresponded to a nearly even distribution among the four quarters (nearly 25% in each quarter), was used as the expected distribution for these analyses. The effect size ω was calculated for the χ2-tests []. Odds ratio (OR) and 95% confidence intervals (95% CI) were calculated [].Kolmogorov-Smirnov tests were used to assess the normal distribution of the APHV (separated by gender, group of athletes and single relative age quarters). To assess differences in the APHV between the four relative age quarters (separated by gender), univariate analyses of variance were used (dependent variable: APHV; independent variable: relative age quarter). The variance homogeneity was assessed with Levene-Test and for post-hoc-tests, those of Scheffé were used. χ2-tests were used to evaluate the difference between the expected (normal) distribution of early, normal and late maturing athletes among each relative age quarter and the observed distribution.The level of significance was set at p<0.05. All of the calculations were performed using IBM SPSS 23.0 (IBM Corporation, Armonk, NY, USA); the effect size was assessed using G*Power (University of Düsseldorf, Germany). […]

Pipeline specifications

Software tools SPSS, G*Power
Application Miscellaneous
Organisms Homo sapiens
Diseases Athletic Injuries