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Statistical Analysis And Related Research On Campus Bullying Problems In China (B-S-J-Z) Based On The PISA2018 Data

Posted on:2022-01-27Degree:MasterType:Thesis
Country:ChinaCandidate:Z R XiongFull Text:PDF
GTID:2517306350952729Subject:Statistics
Abstract/Summary:PDF Full Text Request
Campus bullying is a serious problem facing global education at present,and it is an unavoidable difficulty and pain point in campus education.Any form of violence or bullying on campus seriously violates students' right to receive the fair education.In recent years,UNESCO has published several research reports on campus bullying,emphasizing the universality of campus bullying and the urgency of solving it.Based on the PISA2015 data set,OECD has published several reports such as How Much of a Problem is Bullying at School?These reports emphasizes the prevalence of campus bullying,thousands of students are victims of campus bullying;and campus bullying may aggravate students' poor performance and drop out,which have a negative impact on students' academic performance;at the same time,bullying has long-term impact on students' mental health.However,compared to foreign research,there are few domestic studies on the relationship between campus bullying and student performance,and the nesting characteristics of data are rarely considered in various studies.Based on the PISA2018 data set,this thesis conducts in-depth research and analysis on the issues related to campus bullying in China(B-S-J-Z).Considering the characteristics of nested data sets,this paper uses statistical methods such as Hierarchical Linear Analysis Model and Logistic Regression to study the impact of campus bullying on students' reading and other literacy scores and the influencing factors of campus bullying,in the context of China's special management of campus bullying.The comprehensive multi-part analysis shows that the degree of campus bullying has different effects on different literacy scores.However,from the school level analysis,campus bullying has a significant negative correlation with students' average literacy scores.At the same time,gender,repetition,sense of belonging on campus,etc.are all important factors that affect students being bullied.Moreover,the competitiveness of schools promotes campus bullying,and the concept of cooperation suppress the occurrence of bullying.Besides,there are also a lot of promote meaningful conclusions.Finally,according to these conclusions,suggestions on effective management of campus bullying are put forward from the perspective of schools and students.From the perspective of statistics,this thesis systematically studies the related issues of campus bullying,and conducts an in-depth exploration of the original PISA2018 data set.Based on the data analysis,improve the research direction of campus bullying,obtains the conclusions and suggestions with promotional significance.
Keywords/Search Tags:Campus bullying, Programme for International Student Assessment 2018, Hierarchical linear model, Reading literacy
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