Fuster-Parra P, García-Mas A, Ponseti F J, Leo F M
Department of Mathematics and Computer Science, Universitat IllesBalears, Palma de Mallorca, Spain.
Psychology Faculty, Universitat IllesBalears, Palma de Mallorca, Spain.
Hum Mov Sci. 2015 Apr;40:98-118. doi: 10.1016/j.humov.2014.12.005. Epub 2014 Dec 26.
The purpose of this paper was to discover the relationships among 22 relevant psychological features in semi-professional football players in order to study team's performance and collective efficacy via a Bayesian network (BN). The paper includes optimization of team's performance and collective efficacy using intercausal reasoning pattern which constitutes a very common pattern in human reasoning. The BN is used to make inferences regarding our problem, and therefore we obtain some conclusions; among them: maximizing the team's performance causes a decrease in collective efficacy and when team's performance achieves the minimum value it causes an increase in moderate/high values of collective efficacy. Similarly, we may reason optimizing team collective efficacy instead. It also allows us to determine the features that have the strongest influence on performance and which on collective efficacy. From the BN two different coaching styles were differentiated taking into account the local Markov property: training leadership and autocratic leadership.
本文旨在探究半职业足球运动员的22种相关心理特征之间的关系，以便通过贝叶斯网络（BN）研究球队表现和集体效能。本文包括使用因果推理模式优化球队表现和集体效能，因果推理模式是人类推理中非常常见的一种模式。贝叶斯网络用于对我们的问题进行推理，因此我们得出了一些结论；其中包括：最大化球队表现会导致集体效能下降，而当球队表现达到最小值时，会导致集体效能在中等/较高水平上升。同样，我们也可以反过来推理优化球队集体效能的情况。它还使我们能够确定对表现影响最大的特征以及对集体效能影响最大的特征。根据贝叶斯网络的局部马尔可夫性质，区分出了两种不同的教练风格：训练型领导风格和专制型领导风格。
