AI Summary & Key Takeaways
AI InsightThe findings were discussed under the light of the literature and suggestions and limitations discussed
📌 3 Key Takeaways
Abstract
This study seeks to analyze whether or not the following three variables of "Discouraging Family Relations," "Supportive Family Relations," "Total Time Spent on the Computer," and "Grade Point Average (GPA)" predict elementary school students' video game addiction rates, and whether or not there exists a meaningful difference in students' video game addiction rates based on gender or on parents' levels of education. Being a descriptive survey model, the study group consists of 396 4th and 6th grade primary school students. The following scales, prepared by the researchers, were used to gather data for this study: The Scale of Game Addiction for Children (SGAC), The Family Relationship Scale for Children (FRSC), and the Personal Information Form (PIF). The data gathered from the study were analyzed by using stepwise regression, one-way variance analysis, and independent sample t-test in SPSS. According to the findings of the study, while the variables "Discouraging Family Relations," "Time Spent on the Computer," and "GPA" predict 4th and 5th grade students' video game addiction rates in a meaningful way, the variable "Supportive Family Relations" does not. Moreover, it was seen that male students' video game addiction rates were higher than those of female students. The results of a oneway variance analysis show that there is no meaningful difference in students' video game addiction rates based on parents' levels of education. The findings were discussed under the light of the literature and suggestions and limitations discussed