Abstract:

The aim of this research is to study the levels of children’s digital gaming addiction according to different variables and to bring solutions to the problem state in the light of the findings to be obtained. The research is designed in the quantum research model, and the scan design is used. The universe of research is made up of 10-14 years old students who have studied at the Shahid Ramazan Talk High School (360 students) and 5 February High School (1200 students) in the 2018-2019 educational year. In this study, the "typical state" method was used from targeted sampling methods. In this framework, 370 students who play digital games daily were applied measurement tools with the face-to-face conversation method and 352 (169 women, 183 men) were found suitable for analysis. The study used the "Digital Game Addiction Scale for Children" which was developed in 2017 by Cash and Cash with the personal information form developed by researchers. By evaluating the data in the SPSS 24 Package Program, the Independent Groups T-Test, Kruskal-Wallis H Test, Mann Whitney U and Pearson Correlation Analysis were subjected. As a result, there have been statistically significant differences in the gender, the type of game they play and the age variables. On the other hand, the participant’s possession of an athletic license, whether or not there are sports areas in the environment in which he lives, and statistical analysis of the variables in the educational level of parents has not shown any significant differences between the groups. It has been found that there is a significant relationship between the age variation of participants and the digital game dependency scores in a positive direction.

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