Purpose: The aim of this study is to investigate the relationship between personality traits and optimal performance mood in response to gender, sports branch, weekly training hours of the athletes competing in the university league variables. Material: A total of 250 volunteer athletes from 17 universities, 75 female and 175 male, participated in the study. 95 of the athletes are basketball and 155 are volleyball players. In addition to the personal information form which includes demographic information prepared by the researchers, “Optimal Performance Mood Scale” developed by Jackson and Eklund (2004) and adapted to Turkish by Aşçı et al. (2007) and “5-factor personality traits scale” developed by Benet-Martinez, John (1998) and adapted to Turkish by Schmitt, Allik, McCrae and Benet-Martinez (2007) were applied to the participants. Frequency analysis was applied in order to determine the participants’ demographic information based on the statistical data analysis, and unpaired t-test was applied to determine the personal traits and optimal performance mood scores in response to gender, branch, weekly training sessions. Furthermore, in order to determine the relationship between that personal traits and optimal performance moods correlation test was applied. Statistical significance level was accepted as p <0.05. Results: As a result of the analysis of the data obtained; while there was no significant difference between the athletes according to the gender variable, it was concluded that there was a significant difference between sports branch, weekly sport variables and personality traits and optimal performance moods. In addition, a positive correlation was found between the participants’ personality traits and optimal performance moods as a result of the correlation test (r=0,608). Conclusions: This study has proved that personality traits and optimal performance moods effect one another positively and gender variable makes no significant difference. Yet, sport branches and weekly training hours makes meaningful differences between general and subscales scores.

中文翻译：

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大学生运动员人格特质和最佳表现情绪的检验

目的：本研究的目的是研究人格特质与最佳表现情绪之间的关系，以回应性别，体育分支，参加大学联赛变量的运动员的每周训练时间。资料：来自17所大学的250名志愿者运动员，其中75名女性和175名男性参加了这项研究。其中95名运动员是篮球运动员，而155名运动员是排球运动员。除了包括研究人员准备的人口统计信息的个人信息表外，Jackson and Eklund（2004）开发并由Aşçı等人改编为土耳其语的“最佳绩效情绪量表”。（2007年）和贝纳特·马丁内斯（John）开发的“五要素人格特质量表”（1998年），施密特，阿利克，麦克雷和贝纳特·马丁内斯（2007年）改编为土耳其语。应用频率分析以基于统计数据分析确定参与者的人口统计学信息，并使用未配对的t检验确定对性别，分支，每周训练的反应的个人特征和最佳表现情绪得分。此外，为了确定个人特质与最佳表现情绪之间的关系，应用了相关性测试。统计学显着性水平被接受为p <0.05。结果：对获得的数据进行分析的结果；尽管根据性别变量，运动员之间没有显着差异，但结论是，运动分支，每周运动变量与人格特质和最佳表现情绪之间存在显着差异。此外，相关性测试的结果显示，参与者的人格特质与最佳表现情绪之间呈正相关（r = 0,608）。结论：这项研究证明，人格特质和最佳表现情绪相互影响，而性别变量无显着差异。但是，体育部门和每周的培训时间在一般和次级量表得分之间产生了有意义的差异。