Department of Social and Humanistic Sciences in Sport, Faculty of Sport, University of Ljubljana, Gortanova 22, 1000 Ljubljana, Slovenia.
Department of Sport Sciences, Kore University, Cittadella Universitaria, 94100 Enna, Italy.
Int J Environ Res Public Health. 2022 Apr 1;19(7):4202. doi: 10.3390/ijerph19074202.
Motivation variables in 11 motivational instruments of 357 Slovenian male athletes (168 elite and 189 young athletes from age 12-14) in nine different sport disciplines (basketball, football, handball, water polo, ice hockey, ski jumping, alpine skiing, sport climbing, and judo) were obtained. Different concepts of motivation were researched, such as achievement motivation, incentive motivation, participation motivation, goal orientation, satisfaction and enjoyment in sport, self-efficacy, effort, and ability attributions. The most popular framework for motivation in sport lately has been social cognitive perspective. The aim of this study was to form a dynamic interactive model of sport motivation. We tried to upgrade different models of motivation to one unique meta model of sport motivation, which would explain possible behaviours and motivation in sport situations. Different statistic methods were used to define differences among young and elite athletes and between athletes in group and individual sports. The results show important differences among those groups and suggest that specific sport discipline also has a specific footprint inside motivation. Factor analysis and discriminant analysis were used to explore sport motivation space. The results also suggest that it is possible to define some main determinants of sport motivation that can be connected to previous models of sport motivation.
动机变量在 11 个动机工具 357 名斯洛文尼亚男性运动员 (168 精英和 189 年轻运动员年龄 12-14 岁) 在九个不同的运动项目 (篮球、足球、手球、水球、冰球、跳台滑雪、高山滑雪、运动攀登和柔道) 中得到了研究。不同的动机概念进行了研究,如成就动机、激励动机、参与动机、目标取向、在运动中的满意度和享受、自我效能感、努力和能力归因。最近,运动动机的最流行框架一直是社会认知视角。本研究的目的是形成一个运动动机的动态互动模型。我们试图将不同的动机模型提升为一个独特的运动动机元模型,该模型将解释运动情境中的可能行为和动机。不同的统计方法被用来定义年轻和精英运动员之间以及团体和个人运动项目中运动员之间的差异。结果表明,这些群体之间存在重要差异,并表明特定的运动项目也在动机内部具有特定的影响。因子分析和判别分析被用来探索运动动机空间。结果还表明,有可能定义一些运动动机的主要决定因素,可以与以前的运动动机模型联系起来。