Özet:

This study aims to identify the level of self-sufficiency of football judges, and to study the level of self-sufficiency of judges in terms of some demographic variables (gender, educational status, career and age of starting to judge). The research group consisted of a total of 154 football judges and judges candidates, including 33 (21.4 percent) from different regions and classrooms in the 2017-2018 football season, and 121 (78.6 percent) from men (age = 26.87 ± 1.966).  As a data collection tool, the personal information form and the arbitration self-sufficiency scale have been used. In the analysis of the data, it has been used by visual statistics to determine the levels of self-sufficiency and to identify demographic variables. In addition, the one-way variance analysis technique has been used to compare the levels of self-capacity in terms of gender and age of start and to compare the levels of self-capacity in terms of education and career variation in terms of t-test of arithmetic average differences in independent groups. The Tukey test was used to determine the differences between groups. The results of the analysis have found that judges have high levels of self-sufficiency, and that their levels of self-sufficiency have significant differences in terms of gender and educational status. As a result, it is recommended that the criteria for being a judge take as much into account their educational conditions as possible and that women judges have more competitive experience and work on improving physical capacity in order to increase their levels of self-capacity.

Özet:

In this study, we aimed to examine the self-efficacy levels of soccer referees in the context of some demographic variables (gender, education level, age of starting refereeing, and ocupation). The study group consisted of a total of 154 soccer referees during the 2017-2018 football season of whom 33 (21.4%) were females and 121 (78.6%) were males from different regions and classifications ( age = 26.87±1.966). The personal information form and the Referee Self-Efficacy Scale (REFS) were used as data collection tools. In the analysis of the data, descriptive statistics were used to identify self-efficacy levels and to identify demographic variables. In order to compare self-efficacy levels in respect to arithmetic means gender and age self efficacy scores, independent t-test was used and one-way analysis of variance (ANOVA) was used to compare self-efficacy levels of education level and occupations. The Tukey’s multiple comparison test was used to determine differences between groups. The results revealed that the referees' self-efficacy levels were high and there were significant differences in self-efficacy levels in terms of gender and educational status. Thus, it is recommended that higher education level be prioritized during the referee selection and promotion and that experience and physical competence be increased to elevate the self-efficacy levels of female referees.

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