Assessment of Athletic Development in Youth Players – Goal Setting with Normative Data from Basketball

• DOI: 10.31236/osf.io/e3tk4
• Publication Date: 2021-04-28T18:46:29Z
• Authors: Christoph Schneider; Janina Fett; Hubert Remmert; Alexander Ferrauti
• Keywords: Basketball; Sprint

INTRODUCTION The nationwide implementation of physical performance test batteries for youth squad players can be valuable compiling individual profiles based on age- and gender-specific norm values. This approach is frequently used optimizing training prescription thus athletic development. aim this study was to introduce a distribution-based derive an effect size scale assessing development from normative testing data in players, which then translated setting goals development.METHODS Secondary analysis values (mixed longitudinal cross-sectional [1]). In the age-groups under 12 17, maximum number 1,172 846 tests were available male female basketball respectively. Biannual conducted as part federal research project (20-m sprint, 20-m change direction sprints with/without basketball, jump & reach, standing long jump, chest pass, mid-range shot, multistage fitness test). An derived quintile scores (five categories). Trivial changes defined age-related mean annual estimated average age-group-to-age-group quintiles. Threshold small, medium, large calculated that required increase classification by one, two or three categories, These thresholds additionally compared default commonly interpreting standardized differences (between-player standard deviation: small 0.2, medium 0.6, 1.2 [2]).RESULTS For example, reach 4 cm (trivial change). To higher height must improve 8, 15 cm, respectively (i.e., large). Compared with scale, these quintile-based larger.CONCLUSION presents simple practical created regular testing. scales easily visualized communicated coaches, they are typically familiar percentile-based data. A limitation only form analysis. Future should attempt model datasets while accountingfor within- between-player effects. Furthermore, choice appropriate realistic percentilebased clearly remains up debate requires adequate original data.REFERENCES 1. Stadtmann (2012) PhD thesis, Ruhr University Bochum. 2. Hopkins et al. (2009) MSSE,41,3-12.