Analysis of Internet Addiction Levels of Primary School, Secondary School and High School Senior Students

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Year-Number: 2021-Volume 13, Issue 4
Yayımlanma Tarihi: 2021-08-24 15:40:41.0
Language : English
Konu : Educational Sciences
Number of pages: 1152-1178
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Abstract

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Abstract

In this study, Internet addiction status of primary, secondary, and high school senior students studying in Yeşilyurt district of Malatya province were analyzed according to various variables. The population of the study consisted of 11,868 students from state schools in Yeşilyurt District of Malatya Province, and the study sample was composed of 2,611 students. The research has the relational screening model. In the study, "Internet Addiction Scale" developed by Günüç (2009) was used to determine the Internet addiction levels of students. This scale consists of the sub-dimensions of "deprivation", "control difficulty", "impairment in functionality" and "social isolation." In the analysis of the data obtained, t-test, k-means cluster analysis, one-way analysis of variance (One-Way ANOVA) test were used. "LSD", one of the "post-hoc" techniques, was applied to determine which group or groups the difference originated from in cases where there was significant differentiation as a result of the "ANOVA" test. In summary, the following findings were reached in the study: Of the 2,611 students, 397 (15.2%) were in the addicted group, 1,016 (38.9%) in the risk group, and 1,198 (45.9%) in the non-addicted group. When these results are taken into consideration, it is seen that the majority of the students that made up the sample were in the "non-addicted group" (45.9%). A significant difference was found in favor of male students between students' mean scores for Internet addiction according to their gender. A significant difference in favor of senior high school students was found between the levels of the schools where the students’ studies and their Internet addiction mean scores. There was no significant difference between the mean Internet addiction scores of the students according to their mother's education level, father's education level, mother and father's profession, and the monthly income of the family.

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