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Bu araştırma, 2018-2019 yılları arasında aktif olarak futbol oynayan ve bir kulübe kayıtlı amatör futbolcuların bilişsel esneklik düzeyleri ile antrenör davranışları arasındaki ilişkiyi incelemek amacını taşımaktadır. Bilişsel Esnekliği ölçmek amacıyla Dennis and Vander Wal (2010) tarafından geliştirilen 20 maddelik Cognitive Flexibility Inventory-CFI (Bilişsel Esneklik Ölçeği), antrenör davranışlarını ölçmek için Côté ve arkadaşları (1999) tarafından geliştirilen Coaching Behavior Scale for Sport-CBS-S (Sporcular İçin Antrenör Davranışlarını Değerlendirme Ölçeği-SADDÖ) ölçeği 17-34 yaş aralığında 167 amatör futbolcuya uygulanmıştır. Veri analizlerinde, tanımlayıcı istatistik, aritmetik ortalama, standart sapma, frekans değerlerine bakılmış, verilerin normallik sınaması Kolmogorov-Smirnov ve Shapiro-Wilk testleri ile değerlendirilmiştir. Normal dağılım göstermeği için, analizde non-parametrik testler kullanılmıştır. Antrenör davranışları alt boyutları ile bilişsel esneklik düzeylerinin karşılaştırılması Kruskal-Wallis testi ile gerçekleştirilirken, bilişsel esneklik ile antrenör davranışları alt boyutları arasındaki ilişkiye bakmak içinde korelasyon analizi uygulanmıştır. Sonuç olarak, antrenör davranışları teknik beceri ve olumsuz antrenör davranışları alt boyutlarının eğitim durumuna göre farklılık gösterdiği, lisanslı sporculuk süresi ile antrenör davranışları alt boyutları arasında ise anlamlı bir ilişki olduğu tespit edilirken, bilişsel esnekliğin eğitim durumuna göre farklılık göstermediği fakat aylık gelire göre farklılık gösterdiği, aylık gelire göre hedef belirleme boyutunda ise anlamlı bir farklılık ortaya çıkmadığı bulgulanırken, sonuçlar, antrenör davranışları ve bilişsel esneklik arasında anlamlı bir ilişki bulunmadığını göstermiştir.
This study aims to explore the relationship between the levels of cognitive flexibility and coach behavior of amateur footballers who play football actively between 2018-2019 and registered in a club. Coaching Behavior Scale for Sport-CBS-S, developed by Dennis and Vander Wal (2010) to measure cognitive flexibility inventory-CFI (Cognitive Flexibility Inventory), developed by Côté and his friends (1999) to measure coach behavior scale for Sport-CBS-S (CADDÖ) scale was applied to 167 amateur footballers between the ages of 17-34. In data analysis, the identificatory statistics, the arithmetic average, the standard deviation, the frequency values were considered, the normality test of the data was evaluated by Kolmogorov-Smirnov and Shapiro-Wilk tests. For normal distribution, non-parametric tests were used in the analysis. The comparison of trainer behavior subdimensions with cognitive flexibility levels is carried out with the Kruskal-Wallis test, while the correlation analysis is applied in looking at the relationship between cognitive flexibility and trainer behavior subdimensions. As a result, the trainer behavior and the negative trainer behavior are found to have a meaningful relationship between the training status and the licensed sports time and the trainer behavior, while the cognitive flexibility is not different according to the training status but is different according to the monthly income, and there is no meaningful difference in the targeting size according to the monthly income, the results showed that there is no meaningful relationship between the trainer behavior and the cognitive flexibility.
This research was carried out with the aim of analyzing the relationship between the cognitive flexibility levels of the amateur footballers who are actively playing football between 2018 and 2019 and registered to the club, and the behaviors of the coach. Within the scope of the study, footballers between the ages of 17-34 were employed. The research along with various demographic questions also included 20-item scale developed by Dennis and Vander Wal (2010) for the measurement of “Cognitive Flexibility” and “Coaching Behavior Scale for Sport” (CBS-S) developed by Côté, et al. (1999) for the measurement of the behaviors of the coach. SPSS v24.00 statistical package program was used for research analysis. Descriptive statistics are given with arithmetic mean, standard deviation, and frequency. Normality tests were carried by means of Kolmogorov-Smirnov and Shapiro-Wilk tests. Non-parametric tests were used in the analysis since normal distribution was not observed. Variance analysis test (ANOVA) was used to compare the values of the athletes with respect to demographic variables, and Tukey test method was used for multiple comparisons. Correlation analysis was conducted to analyze the relationship between cognitive flexibility and coach behavior. Significance level was taken as (p <0.05) for parametric and non-parametric test. According to the findings of the study, it was found that the sub-dimensions of technical behaviors and negative sub-dimensions of coach behaviors differed according to the education level, and there was a significant relationship between the duration of licensed football players and sub-dimensions of coach behaviors. It was seen that cognitive flexibility did not differ according to educational background but it varied according to monthly income. There was a significant difference in the size of goal setting according to monthly income. As a result, it was found that there was no significant relationship between coach behaviors and cognitive flexibility.
Alan : Spor Bilimleri
Dergi Türü : Ulusal
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