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On the search for reliable performance indicators in game sports

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  • Martin Lames
  • Tim McGarry

Abstract

This article addresses the reliability of performance indicators in game sports. In this context, reliability is invariably treated from a technical point of view as a question of observer agreement i.e. high levels of agreement between observations. That the measurement process itself should yield reliable data, as defined, for sports performance is given. Our considerations of reliability, however, extend from the process of measurement to include the trait (i.e., the performance) being measured. From these considerations, we present the argument that the performance traits, as measured, are inherently unstable and that the performance indicators are therefore necessarily unreliable (or unstable). In this light, the ongoing search for reliable (or stable) measures of sports performance indicators is questioned. Instead, alternative approaches for performance analysis are offered that recognise the dynamic interactions that characterise game sports as key features of sport performance. This notion of dynamic interactions is compatible with sporting experiences and the way that sports practitioners think about sports performance. We conclude that performance analysis for purposes of theoretical advancement should make use of mathematical modelling and simulation techniques, and that performance analysis for practical purposes should include qualitative research methods to arrive at the necessary inferences for sports practice.

Suggested Citation

  • Martin Lames & Tim McGarry, 2007. "On the search for reliable performance indicators in game sports," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 7(1), pages 62-79, January.
    • Handle: RePEc:taf:rpanxx:v:7:y:2007:i:1:p:62-79
    DOI: 10.1080/24748668.2007.11868388
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    Citations

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    Cited by:

    1. Rabiu Muazu Musa & Mohammad Razali Abdullah & Ahmad Bisyri Husin Musawi Maliki & Siti Musliha Mat-Rasid & Norlaila Azura Kosni & Aleesha Adnan, 2017. "National Analysis and Reliability Testing in Soccer: A Mobile Phone Application Approach," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(7), pages 848-858, July.
    2. Daniel Link & Martin Hoernig, 2017. "Individual ball possession in soccer," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-15, July.
    3. Juan Pablo Morillo-Baro & Rafael E. Reigal & José Antonio Ruíz-López & Juan Antonio Vázquez-Diz & Verónica Morales-Sánchez & Antonio Hernández-Mendo, 2022. "Finalization actions of the finalist teams in the Soccer World Cup 2018: a study with Polar Coordinates," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(2), pages 779-792, April.
    4. Gómez, Miguel A. & Cid, Adrián & Rivas, Fernando & Barreira, Júlia & Chiminazzo, João Guilherme Cren & Prieto, Jaime, 2021. "Dynamic analysis of scoring performance in elite men's badminton according to contextual-related variables," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    5. Jonas Lutz & Daniel Memmert & Dominik Raabe & Rolf Dornberger & Lars Donath, 2019. "Wearables for Integrative Performance and Tactic Analyses: Opportunities, Challenges, and Future Directions," IJERPH, MDPI, vol. 17(1), pages 1-26, December.

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