Özet:

Aim: This study was conducted to examine the relationship between computer addiction (computer, internet, game addiction) and adolescent problems in Turkish generation K adolescents with correlation analysis. Material and Methods: This study is a cross-sectional study. This research was carried out in three high schools in the city center of a city selected according to their success ranking in the high school entrance exam. In the study, a total of 665 students who received parental and student permission were included. Adolescents’ Computer (computer/internet/game) Addiction Scale and Adolescence Problems Scanning List were used to gathering data. In the study, subscales of computer addiction scale for adolescence (computer, internet, game) were determined as Set 1, and subscales of adolescence problems scanning list (physical, social, relationship with the opposite sex and sexual information, psychological, future expectations) were determined as Set 2. Expected relationships between these Set 1 and Set 2 explained in an efficient manner by canonical weights and loadings. Results: Three canonical variate pairs were ranging from 0.688 to 0.150. It was observed that the first and the second pairs were significant (p<0.001). In the Adolescents’ Computer Addiction Scale, computer game addiction was the most significant parameter (1.064). In order to obtain high value for U1 canonical variate, while game addiction should be increased because of positively correlated, CA should be shrunk because of negatively correlated. Therefore, when the game addiction subscale is high and the computer and internet addiction subscales are low, it is expected that the psychological and social problems subscales will take high values. In the adolescence problems scanning list, psychological development problems were the most significant parameters (0.702). The value for V1 canonical variate increases with the increase of psychological development problems and social development problems. In contrast, the increase in the physical development problems reduces the value of the V1 canonical variable. Conclusion: Present data revealed that there were positive and moderate correlations between computer addiction and adolescence problems of generation K. Canonical correlation analysis showed that the adolescence problems had a significant variance in explaining the adolescent’s computer (computer/internet/game) addiction, while the adolescent’s computer addiction had significant variance in explaining the adolescence problems.

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