Building upon Deci's and Ryan (1985) Self-determination theory as well as the sportive behavioral correlates of the model of Commitment (Scanlan et al., 1976), this study tries to establish the relationship between motivation and commitment in youth sport. For this purpose 454 young competitive soccer players answered the Sport Motivation Scale (SMS) and the Sport Commitment Questionnaire (SCQ) during the regular season. The SMS measures the three dimensions of the Motivational continuum (the Amotivation, the Extrinsic Motivation and the Intrinsic Motivation). The SCQ measures the Sportive Commitment and its composing factors such as the Enjoyment, the Alternatives to the sport, and the Social Pressure. Our findings provided a clear pattern of the influence of motivation in sport enjoyment and commitment, outlining the positive contribution of intrinsic and extrinsic motivation to enjoyment and commitment. Amotivation, contributes positively to alternatives to sport and negatively to enjoyment and commitment. It should be noted that extrinsic motivation has a higher contribution to enjoyment whereas intrinsic motivation has a higher contribution to commitment.Fundamentándose en la teoría de la Autodeterminación (Deci y Ryan, 1985) así como en los correlatos conductuales del modelo de Compromiso (Scanlan et al. 1976), este estudio trata de establecer las relaciones entre motivación y compromiso en jóvenes jugadores de fútbol. Con este propósito 454 jóvenes jugadores de fútbol contestaron la Escala de Motivación Deportiva (SMS) y el Cuestionario de Compromiso Deportivo (SCQ).El SMS mide las tres dimensiones del continuum motivacional (Amotivación, Motivación extrínseca y motivación intrínseca). El SCQ mide el compromiso deportivo y los factores que lo componen, tales como el disfrute, las alternativas al deporte y la presión social. Nuestros resultados proporcionan un patrón claro acerca de la influencia de la motivación en el compromiso y la diversión en el deporte, subrayando la contribución positiva de la motivación intrínseca y extrínseca en la diversión y el compromiso. La amotivación contribuye positivamente a las alternativas al deporte y negativamente a la diversión y el compromiso. Es de destacar que la motivación extrínseca tiene una contribución mayor a la diversión, mientras que la motivación intrínseca tiene una contribución mayor al compromiso.
Borras PA, Vidal J, Ponseti X, Cantallops J, Palou P. Predictors of quality of life in children. J. Hum. Sport Exerc. Vol. 6, No. 4, pp. 649-656, 2011. The aim of this study was to explore the relationship between Health related quality of life (HRQoL) in children reported by parents, cardiorespiratory fitness, physical activity levels, screen time and body mass index of a population of 302 eleven and twelve years old children. The objective was to investigate the relation of cardiorespiratory fitness with some domains of quality of life to determine if fitness is a key factor rather than physical activity, to ensure future quality of life in children, Child health and Illness Profile-Child Edition/Parent Repot Form (CHIP-CE/PRF) was used to measure HRQoL, 20m shuttle run test, for fitness. SHAPES, Physical activity module was used to measure weekly physical activity and screen time. Height and weight was reported by parents. Results show a strong correlation with Fitness and HRQoL, and screen time with HRQoL, but not with Physical activity. The findings of this study suggest that Fitness in children is a more important predictor, than PA in disease prevention.
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.
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