Original Research ARTICLE
Self-determined motivation and competitive anxiety in athletes/students: a probabilistic study using bayesian networks.
- 1University of the Balearic Islands, Spain
- 2Higher Institute of Applied Psychology (ISPA), Portugal
- 3University of Lisbon, Portugal
- 4University of Murcia, Spain
- 5Universidad Autónoma de Nuevo León, Mexico
This study attempts to analyse the relationship between two key psychological variables associated with performance in sports - Self-Determined Motivation and Competitive Anxiety - through Bayesian Networks analysis. We analysed 674 university students/athletes from 44 universities that competed at the University Games in México, with an average age of 21 years (SD = 2.07) and with a mean of 8.61 years’ (SD = 5.15) experience in sports. Methods: Regarding the data analysis, first a CHAID algorithm was carried out to determine the dependence links between variables, and then a Bayesian networks was developed. The validation of the BN revealed AUC values ranging from 0.5 to 0.92. Subsequently, various instantiations were performed with hypothetical values applied to the “bottom” variables. Results showed two probability trees that have extrinsic motivation and amotivation at the top, while the anxiety/activation due to worries about performance was at the bottom of the probabilities. The instantiations carried out support the existence of these probabilistic relationships, demonstrating their scarce influence on anxiety about competition generated by the intrinsic motivation, and the complex probabilistic effect of introjected and identified regulation regarding the appearance of anxiety due to worry about performance.
Keywords: Bayesian network, Self-determined motivation, competitive anxiety, atlethes, Students
Received: 08 Apr 2019;
Accepted: 08 Aug 2019.
Edited by:Adelaida María A. Castro Sánchez, University of Almería, Spain
Reviewed by:Miguel-Angel Gomez-Ruano, Polytechnic University of Madrid, Spain
Esther Gil Martínez, University of Almería, Spain
Copyright: © 2019 Verdaguer, Almeida, Lameiras, Martins, Olmedilla, Reyes, López-Walle and Garcia-Mas. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Mx. F.Javier P. Verdaguer, University of the Balearic Islands, Palma de Mallorca, Spain, email@example.com