SPOR BİLİMLERİ ÖZEL YETENEK SINAVINA KATILAN BİREYLERDE KAYGI

Mehmet Ali Ceyhan, İsmail Koç
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Abstract

This study examines the relationship between self-talk and anxiety for individuals attending the special talent examination in sports sciences. The study was conducted by using the descriptive and relational research design. A total of 544 student candidates who are composed of 383 male and 161 female students attending the special talent examination (STE) at the Sports Sciences Faculty of Bayburt University in the educational year of 2022-2023, who were chosen by random sampling, became the participants of this study. In the study, the researchers used the Personal Information Form, Self-Talk Questionnaire (S-TQ), Anxiety Inventory in Sports -2 (SAS) and the data obtained from the Track for STE of Sports Sciences at Bayburt University obtained online and based on voluntarism principle. The obtained data is analyzed by the computer program named SPSS 25.0. In the analysis of the data, the researchers used the methods of descriptive, percentage, average, standard deviation and inferential correlation analyses, and t-test analysis in independent samples. In the consequence of the study, it was determined that while the anxiety levels of the participants increased, their track times improved; however there was no relationship between self-talk and track times. Additionally, it was determined that while the ages of participants in the study increased, their levels of self-talk decreased; however there was no relationship between age and level of anxiety, the levels of self-talk and anxiety for the male participants were lower than those of the female participants; and while the self-talk levels of participants increased, their levels of anxiety also increased. However, it was also determined that there was no relationship between self-talk and level of anxiety.
本研究旨在探讨参加体育科学专项人才考试的个体的自我对话与焦虑的关系。本研究采用描述性和相关性研究设计。采用随机抽样的方法,选取Bayburt大学体育科学学院2022-2023学年的特才考试(STE)学生544人,其中男383人,女161人,作为本研究的参与者。本研究采用个人信息表、自我谈话问卷(S-TQ)、运动焦虑量表(SAS),数据来源于Bayburt大学体育科学技术学院在线获取的基于自愿原则的数据。所得数据用SPSS 25.0计算机程序进行分析。在对数据的分析中,研究人员采用了描述性、百分率、平均值、标准差和相关性分析的方法,并对独立样本进行了t检验分析。研究结果表明,当参与者的焦虑程度增加时,他们的跑步时间也会提高;然而,自言自语和跟踪时间之间没有关系。此外,研究确定,随着研究参与者年龄的增长,他们的自言自语水平下降;而年龄与焦虑水平之间没有相关性,男性受试者的自言自语和焦虑水平均低于女性受试者;当参与者的自言自语水平增加时,他们的焦虑水平也增加了。然而,研究也确定,自言自语和焦虑程度之间没有关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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