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The Study on the Present Situation of Middle School Students’ Internet Addiction Disorder

Author: ZhuChunYing
Tutor: LiuYing
School: China Medical University
Course: Applied Psychology
Keywords: High school students Internet Addiction Depressive state Family functioning Parenting the way
CLC: B844.2
Type: Master's thesis
Year: 2010
Downloads: 198
Quote: 1
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Abstract


Objective To understand the status and characteristics of Shenyang City Students' Internet Addiction explore depression status, family functioning, parental rearing patterns of Internet Addiction, to provide a scientific basis for Internet addiction intervention. The method of investigation for cluster sampling in Shenyang City, eight secondary schools to high six grades, a total of 3452 people. Students, the network based on Internet Addiction Scale score ≥ 50 points, identify the Internet Addiction students 459 people, as a the IAD group; extracted Internet Addiction a student number students (age, gender, and Internet Addiction students match) Addiction Scale score lt; 50 points, a total of 462 human control group. Use tool for composing general information questionnaire, Internet Addiction Scale, Self-Rating Depression Scale, Family Adaptation, parenting style questionnaire. SPSS13.0 statistical software for statistical analysis. 1,3452 high school students, 459 network addicts, Internet addiction rate of 13.7%. 2 Students 'Internet Addiction incidence of different gender differences, boys significantly higher than girls (P lt; 0.01); different grades, Students' Internet Addiction single child difference in the incidence sex (P gt; 0.05); ordinary secondary school students Internet Addiction occurs higher than the key middle school (P lt; 0.05); parents Students' Internet Addiction in the high incidence of single-parent middle school students (P lt; 0.05); Internet location of Internet addiction group and the control group, the net age the difference was not significant (P gt; 0.05); networking features online games, dating chat, Internet addiction group was significantly higher than that of the control group (P lt; 0.01); Internet Addiction group time spent online per week was significantly higher than the control group (P lt; 0.01). 3, the Internet Addiction group depression score was significantly higher than that in the control group (P lt; 0.01); family functions, Internet addiction group and the control group score was no significant difference in family communication and behavior control group of Internet addiction in problem solving emotional intervention with the family total function score higher than those in the control group (P lt; 0.05), in the role-playing, the emotional reaction score lower than the control group (P lt; 0.05); parenting ways, the father refused to deny Internet Addiction group The the mother severe punishment factor score significantly higher than those in the control group (P lt; 0.01), mother emotional warmth and understanding scores significantly lower than the control group (P lt; 0.01) groups father emotional warmth, father punishment, parents excessive interference protection, parental preference the subjects factor score difference was not significant (P gt; 0.05). 4, whether Internet addiction as the dependent variable, univariate analysis screened out of the 12 factors as independent variables, logistic regression analysis, the results of gender, type of school, depression, emotional involvement, mother interference protection, week online risk factors, maternal warmth as protective factors, the regression equation is Y = -0.569 0.521X1 0.378X2 0.889X3 0.630X4-4.096X5 3.456X6 0.060X7, statistical test, x2 = 36.055, P = 0.010. Conclusion 1, Shenyang City Students' Internet Addiction rate of 13.7%. Network addicts there are gender, school type, family type differences. Than girls to boys network addiction incidence, ordinary middle school students' Internet Addiction incidence of key middle school students, parents of students Internet Addiction a lower incidence of single-parent students. 3, gender, type of school, depression, emotional involvement, mother interference protection, time spent online per week for secondary school students network addiction risk factors, maternal warmth as protective factors.

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