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Structural Equation Modeling On Associated Factors Of Bullying Among A High School Students

Posted on:2020-12-01Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2370330575499312Subject:Public health
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Objective: To describe the occurrence of school bullying in high school students in Wuyuan County,Jiangxi Province,to analyze the influencing factors of school bullying,to explore the current situation and influencing factors of school bullying in high school students in less derdeveloped areas,to propose the targeted reference opinions to reduce school bullying.Methods: A cluster sampling method was used to extract a middle school in Wuyuan County.An anonymous questionnaire survey was conducted among all the freshmen and sophomores in the school.The establishment of the database and the entry of data adopt Epidata3.0.Univariate analysis was performed using Spss 21.0.Multivariate analysis used structural equation modeling,model construction and evaluation using Amos21.0.Results:(1)Status of school bullying The total incidence of school bullying was 12.5%.The incidence of limb bullying in this study was 2.2%,the incidence of speech bullying was 3.4%,the incidence of cyberbullying was 5.6%,and the incidence of relational bullying was 10.6%.(2)Factors affecting school bullying :(1)The standardized regression coefficient of bad habits on school bullying is 0.17,that is,the direct effect of bad habits on school bullying is 0.17.(2)The standardized regression coefficient of psychological factors for school bullying is 0.46,and the standardized regression coefficient for bad habits is 0.71.Psychological factors have both direct and indirect effects on school bullying.The sum of the two is 0.46+0.71×0.17=0.58.(3)The standardized regression coefficient of violence experience on school bullying is 0.16,and the standardized regression coefficient of psychological factors is 0.13,that is,the direct effect of violence experience on school bullying is 0.16,and the indirect effect is 0.13×0.58=0.08,the sum of the two is 0.16+0.08=0.24.(4)The standardized regression coefficient of family factors for bad habits is 0.11,the standardized regression coefficient for psychological factors is 0.19,and the standardized regression coefficient for violent experiences is 0.40,that is,family factors have an indirect effect on school bullying.The sum of indirect effects is 0.11× 0.17+0.19×0.58+0.40×0.24=0.22.(5)The standardized regression coefficient of social factors on school bullying is 0.18,the standardized regression coefficient of social factors to psychological factors is 0.37,and the standardized regression coefficient of violence experience is 0.25.Social factors have both direct and indirect effects on school bullying.The sum is 0.18+0.37×0.58+0.25×0.24 = 0.46.Among social factors,"family economic status" has the largest factor load.(6)The standardized regression coefficient of school factors to psychological factors is 0.10,and the standardized regression coefficient for bad habits is 0.14,that is,the indirect effect of school factors on school bullying is 0.10×0.58+0.14×0.17=0.08.(7)Personal factors the standardized regression coefficient of personal factors on school bullying is 0.10,the standardized regression coefficient for psychological factors is 0.28,and the standardized regression coefficient for violent experience is 0.28.Personal factors have both direct and indirect effects on school bullying.The sum is 0.10+0.28× 0.58+0.28×0.24=0.33;Among the personal factors,"having had a bad partner" had the largest factor load.Conclusion:(1)The incidence of school bullying in this study was 12.5%.Relational bullying has the highest incidence,followed by cyberbullying.(2)In this study:(1)Bad habits have a direct effect on school bullying;(2)Family factors and school factors have indirect effects on school bullying;(3)Social factors,personal factors,psychological factors,and violent experiences have both direct effects and indirect effects on school bullying.(4)In terms of total effect,psychological factors have the greatest impact on school bullying,followed by social factors and personal factors.(3)Based on the results of this study,the following suggestions are put forward to reduce the occurrence of school bullying:(1)To raise public awareness of relationship bullying and cyberbullying,so that parents and teachers of students can detect the occurrence of bullying as early as possible;(2)Add mental health education courses or psychological counseling room in the school;Remind adolescent parents to communicate with their children and pay attention to their children's psychological changes;Guide teenagers to open their hearts and actively seek help when they encounter psychological problems.(3)Pay more attention to students from poor families.(4)Admonish teenagers to make friends carefully,do not form cliches.
Keywords/Search Tags:High school students, School bullying, Structural equation modeling
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