The dominance analysis on predictive factors of internet addiction among junior high school students in Daqing city

Abstract

Objective To explore the relative contribution on predictive factors of internet addiction among junior high school students in Daqing city,and provide basis for targeted intervention on internet addiction.Methods By delaminating grouping method, based on a sample of 646 were surveyed with Internet Addiction Impairment Index and other mental scales. Through dominance analysis, study the relative contribution of various predictive factors of internet addiction. Results The correlation coefficients of life events, social anxiety, depression and positive coping with internet addiction were respectively 0.39, 0.15, 0.12 and 0.09(P＜0.05). Hierarchical regression showed that the total variance of demography in predicting internet addiction was 15%;the total variance of life events, social support, coping styles and emotion variables in predicting internet addiction was 23%. After the variables of demography were controlled, the best predictors for internet addiction were life events,social anxiety, negative coping and objective support, and these four variables explained 18.5% of the total variance of intemet addiction. Dominance analysis indicated that for the regression equation in predicting internet addiction, life events contributed 84. 52%, social anxiety contributed 8. 21% and negative coping contributed 4.72%, objective support contributed 2.54% of the predicted variance. Conclusion Internet addiction should be taking targeted preventive interventions based on the specific reasons. Key words: Junior high school student; Intemet addiction; Dominance analysis