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Decision-Making Skills in Youth Basketball Players: Diagnostic and External Validation of a Video-Based Assessment

Author

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  • David Rösch

    (Institute of Sports Science, Eberhard Karls University of Tübingen, 72074 Tübingen, Germany)

  • Florian Schultz

    (Institute of Sports Science, Eberhard Karls University of Tübingen, 72074 Tübingen, Germany)

  • Oliver Höner

    (Institute of Sports Science, Eberhard Karls University of Tübingen, 72074 Tübingen, Germany)

Abstract

Decision-making is a central skill of basketball players intending to excel individually and contribute to their teams’ success. The assessment of such skills is particularly challenging in complex team sports. To address this challenge, this study aimed to conceptualize a reliable and valid video-based decision-making assessment in youth basketball. The study sample comprised youth basketball players of the German U16 national team ( n = 17; M Age = 16.01 ± 0.25 years) and students of a sports class ( n = 17; M Age = 15.73 ± 0.35 years). Diagnostic validity was tested by determination of the performance levels according to response accuracy as well as response time in the assessment. External validity was examined by investigation of the correlation between the diagnostic results of the elite athletes and their real game performance data associated with passing skills. Logistic regression analysis revealed that the diagnostic results discriminate between performance levels (χ 2 (2) = 20.39, p < 0.001, Nagelkerke’s R 2 = 0.60). Multiple regression analysis demonstrated a positive relationship between the diagnostic results and assists ( F (2,10) = 4.82, p < 0.05; R 2 = 0.49) as well as turnovers per game ( F (2,10) = 5.23, p < 0.05; R 2 = 0.51). However, no relationship was detected regarding the assist-turnover ratio. Further, response time discriminated within the elite athletes’ performance data but not between performance levels while for response accuracy the opposite is the case. The results confirm the diagnostic and external validity of the assessment and indicate its applicability to investigate decision-making skills in youth basketball.

Suggested Citation

  • David Rösch & Florian Schultz & Oliver Höner, 2021. "Decision-Making Skills in Youth Basketball Players: Diagnostic and External Validation of a Video-Based Assessment," IJERPH, MDPI, vol. 18(5), pages 1-17, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2331-:d:506996
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    References listed on IDEAS

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    1. Javier García & J. Sergio Ibáñez & A. Miguel Gómez & Jaime Sampaio, 2014. "Basketball Game-related statistics discriminating ACB league teams according to game location, game outcome and final score differences," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(2), pages 443-452, August.
    2. Yawei Li & Tian Feng, 2020. "The effects of sport expertise and shot results on basketball players’ action anticipation," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-10, January.
    3. C. Daniel Clay & E. Kylie Clay, 2014. "Player Rotation, On-court Performance and Game Outcomes in NCAA Men’s Basketball," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(2), pages 606-619, August.
    4. Ehrlich Justin & Sanders Shane & Boudreaux Christopher J., 2019. "The relative wages of offense and defense in the NBA: a setting for win-maximization arbitrage?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 15(3), pages 213-224, September.
    5. Ana Filipa Silva & Daniele Conte & Filipe Manuel Clemente, 2020. "Decision-Making in Youth Team-Sports Players: A Systematic Review," IJERPH, MDPI, vol. 17(11), pages 1-23, May.
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    1. Egemen Mancı & Fabian Herold & Erkan Günay & Çağdaş Güdücü & Notger G. Müller & Cem Ş. Bediz, 2023. "The Influence of Acute Sprint Interval Training on the Cognitive Performance of Male Basketball Players: An Investigation of Expertise-Related Differences," IJERPH, MDPI, vol. 20(6), pages 1-14, March.

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