An empirical study on coach abuse supervision and athlete performance: quantitative analysis based on multiple linear regression model

Xiaochen Wang; Ying He

doi:10.1117/12.2672223

28 March 2023 An empirical study on coach abuse supervision and athlete performance: quantitative analysis based on multiple linear regression model

Xiaochen Wang, Ying He

Author Affiliations +

Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 1259705 (2023) https://doi.org/10.1117/12.2672223
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China

Abstract

This study aims to construct a moderated mediation framework to test the effects of coach’s abuse supervision on the sports performance through emotional exhaustion and the moderating role of psychological resilience. To test the model, we integrated athlete-related databases by network, collected questionnaires through an online platform, and analyzed the data using two mature statistical software. We not only used Amos software to test the reliability of the data, but also used SPSS software to perform causal analysis of variables. Finally, the results show that coach’s abuse supervision will reduce athlete performance through emotional exhaustion, and psychological resilience will buffer this mediating effect. To some extent, the findings revealed the mechanism of coaches' abuse supervision affecting athletes' performance, which has reference value for improving coaches' management mode and scientifically improving athletes' performance.

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Xiaochen Wang and Ying He "An empirical study on coach abuse supervision and athlete performance: quantitative analysis based on multiple linear regression model", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 1259705 (28 March 2023); https://doi.org/10.1117/12.2672223

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