AI Summary & Key Takeaways
AI InsightAnd it was found that self-esteem levels predictived self monitoring levels substantially.It was found that the self-monitoring and extraversion affected self-esteem negatively, it was thought that highly self-esteemed athletes have a tendency to see themselves as superior than the other athletes, ignore the extraneous criticism.
📌 3 Key Takeaways
Abstract
The aim of this study was to investigate the relationship with self-esteem between self monitoring levels of sub-elite in-door soccer players.For this aim, 86 male and 91 female athletes at the ages of 18–28 years were participated in this study voluntarily. The participants were studying at 7 different universities that joined the in-door soccer championship of Turkish University Sport Federation.The Socio-demographic data form, Self-monitoring Scale, and Coopersmith Self-Esteem Inventory were performed by the participants. The data was analyzed by using IBM SPSS (version 20.0). The Spearman Correlation parameter calculated in order to comment the relationship with data, Multiple regretion analysis were performed for the predictive power of self-esteem for self monitoring levels of the participants.According to the analysis, a negative relationship was found among self-esteem, self-monitoring total score, and extraversion levels. And it was found that self-esteem levels predictived self monitoring levels substantially.It was found that the self-monitoring and extraversion affected self-esteem negatively, it was thought that highly self-esteemed athletes have a tendency to see themselves as superior than the other athletes, ignore the extraneous criticism. No matter what self-esteem levels is that extraversion and acting altitute (attitude) ? has not change. Consequently, self-esteem has reverse relationship with self-monitoring properties since trainers and teachers both is raised self-esteem and is helped self-monitoring themselves.