AI Summary & Key Takeaways
AI InsightAs a result of the study; while there is a statistically significant difference between gender variable and the general sadness management dimention and the deformation dimention from sub-dimensions and also between father education variable and the deformation dimention from sub-dimensions, No significant difference was found between the variables of age, family income and maternal education level and sadness management sub-dimensions.
📌 3 Key Takeaways
Abstract
The aim of this study was to investigate the sadness levels of students doing sports in terms of some variables. The study consisted of 237 students selected randomly (mean age = 14.01 ± 1.45), 91 girls and 146 boys studying in schools affiliated to Karaman Provincial Directorate of National Education in 2017-2018 academic year. In addition to the personal information form prepared by the researcher, as a data collection tool, Zeman et al. (2001), developed by Akin et al. (2014) “Child Sadness Management Scale was used. Skewness-Kurtosis normality distribution test was used to determine whether the measurements were suitable for normal distribution. As a result, t-test and One way - Anova tests were used. POST HOCK Sheff tests were used to determine the source of the difference. SPSS (Statistical Package for Social Sciences) program was used to evaluate the data. As a result of the study; while there is a statistically significant difference between gender variable and the general sadness management dimention and the deformation dimention from sub-dimensions and also between father education variable and the deformation dimention from sub-dimensions, No significant difference was found between the variables of age, family income and maternal education level and sadness management sub-dimensions.