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ResumenEl propósito del presente estudio fue descubrir las rela­ciones entre los comportamientos del entrenador percibi­dos por los deportistas durante el entrenamiento y la competición y la cooperación a través de la red baye­siana. Los deportistas masculinos profesionales de varios deportes de equipo (N = 158) completaron la versión portuguesa de la Escala de Liderazgo para el Deporte y el Cuestionario de Cooperación Deportiva para evaluar la cooperación. Se identificaron relaciones entre los comportamientos percibidos del entrenador en entornos de entrenamiento y competición y la tendencia de los atletas a cooperar. En general, los hallazgos apoyan que, en el deporte, los comportamientos del entrenador con­gruentes con las necesidades individuales de los atletas y adaptados a las demandas situacionales pueden promo­ver el comportamiento prosocial. AbstractThe purpose of the present study was to discover the relationships between athletes’ perceived coach behaviors during training and competition, and cooperation via Bayesian network (BN). Professional male atheletes from several team sports (N = 158) completed the Portuguese version of the Leadership Scale for Sport and the Questionário de Cooperação Desportiva to assess cooperation. Relationships were identified between perceived coach behaviors in training and competition environments and with athletes tendency to cooperate. Overall, the findings support that in sports, coaching behaviours congruent with the athletes’ individual needs and adapted to the situational demands may promote prosocial behaviour.

This study attempts to analyze the relationship between two key psychological variables associated with performance in sports - Self-Determined Motivation and Competitive Anxiety - through Bayesian Networks (BN) analysis. We analyzed 674 university students that are athletes from 44 universities that competed at the University Games in Mexico, 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, firstly, classification using the CHAID algorithm was carried out to determine the dependence links between variables; Secondly, a BN was developed to reduce the uncertainty in the relationships between the two key psychological variables. 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. info:eu-repo/semantics/publishedVersion

This study is framed on the Information Theory as a constructive criterion to generate probabilistic distributions –through the elaboration of Bayesian Networks- and to reduce the uncertainty in the occurrence and relationship between two key psychological variables associated with the sports’ performance: Self-Determined Motivation and Competitive Anxiety. We analyzed 674 universitary students/athletes who competed in the 2017 Universitary Games (Universiade) in México, from 44 universities, with an average age of 21 years old (SD = 2.07), and with a sportive experience of 8.61 years of average (SD = 5.15). Methods: Regarding the data analysis, first of all a CHAID algorithm was carried out for to know the independence links among variables, and then two Bayesian networks (BN) were elaborated. The validation of the BN revealed AUC values ranging from 0.5 to 0.92. Subsequently, various instantations were carried out with hypothetical values applied to the “bottom” variables. Results showed two probability trees that have Extrinisic Motivation and Amotivation at the top, while the anxiety/activation due to the worry for performance was at the bottom of probabilities. The instantiations carried out support the existence of these probabilistic relationships, demonstrating the little influence on the competition anxiety generated by the intrinsic motivation. In conclusion, the reduction of the uncertainty made up by the restricted BN may aloe to re-introduce Information Theory principles in psychosocial studies, allowing authors to obtain useful probabilities values upon target psychological variables related with sportive performance.

The purpose of the present study was to discover the relationships between athletes’ perceived coach behaviors during training and competition, and cooperation via Bayesian network (BN). Professional male atheletes from several team sports (N = 158) completed the Portuguese version of the Leadership Scale for Sport and the Questionário de Cooperação Desportiva to assess cooperation. Relationships were identified between perceived coach behaviors in training and competition environments and with athletes tendency to cooperate. Overall, the findings support that in sports, coaching behaviours congruent with the athletes’ individual needs and adapted to the situational demands may promote prosocial behaviour.