调查业余足球运动员对足球的态度

Erhan Buyrukoğlu, Mehmet Özdemi̇r, Gökhan Dokuzoğlu, Nuh Asanakut
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引用次数: 0

摘要

本研究旨在调查业余足球运动员对足球的态度。该研究的研究小组由194名足球运动员组成,他们在2021-2022赛季在锡瓦斯和亚洛瓦省积极踢足球。本研究的数据收集分为两部分。第一部分使用研究者制作的个人信息表格,第二部分使用Kayapınar和Kaan的效度和信度(2021)制作的足球态度量表(FUTÖ)。在本研究的数据分析中,使用SPSS 25.00软件包程序,以95%置信区间和0.05显著性水平进行评估。对足球参与者的年龄、性别、受教育程度、地理区域、省份和位置信息进行描述性统计。通过观察峰度偏度值来判断数据是否为正态分布。统计方面,分别进行独立样本t检验、方差分析检验、频率、百分比、信度系数计算。结果;对性别变量中被试对足球的态度进行检验时,量表总分与量表子维度、社会效应、表现和心理效应之间存在统计学上显著的差异。从图中可以看出,各子维度的差异有统计学意义,省际变量与区位变量、量表总分与各子维度的差异无统计学意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining The Attitudes Of Amateur Football Players Towards Football
In this study, it is aimed to examine the attitudes of amateur football players towards football. The study group of the research consists of 194 football players who play football actively in Sivas and Yalova provinces in the 2021-2022 season. Data collection in the study consists of two parts. In the first part, the personal information form created by the researchers was used, and in the second part, the Football Attitude Scale (FUTÖ) scale, which Kayapınar and Kaan's validity and reliability were made (2021), was used. In the analysis of the data in this study, the SPSS 25.00 package program was used, and it was evaluated at the 95% confidence interval and at the 0.05 significance level. Descriptive statistics were calculated regarding age, gender, educational status, geographical region, province and the position information of the participants in football. It was decided whether the data showed a normal distribution or not by looking at the kurtosis skewness values. In terms of statistics, Independent Sample t test, Anova test, frequency, percentage and reliability coefficient calculations were made. As a result; When the attitudes of the participants towards football in the gender variable are examined, there is a statistically significant difference in favor of the female participants between the scale total score and the sub-dimensions of the scale, social effects, performance, and psychological effects. It was seen that there was a statistically significant difference in the sub-dimensions, and there was no statistically significant difference between the province and location variables, the total score of the scale and all sub-dimensions.
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