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首页> 外文期刊>International Journal of Emerging Technologies in Learning (iJET) >Appropriate Thai High School Student Internet Behaviour: A Hierarchical Linear Model Analysis
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Appropriate Thai High School Student Internet Behaviour: A Hierarchical Linear Model Analysis

机译:适当的泰国高中生互联网行为:分层线性模型分析

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The research used a hierarchical linear model to develop a model to study the variables of appropriate Internet use of 2,400 Thai high school students from 48 high schools. Furthermore, the groups were divided into one group of 1,200 students in science related programs, while the second group of 1,200 students were in a non-science related program. The data collection instrument was a reliability questionnaire which was determined to range between 0.75-0.97. Data were analysed using statistical averages, standard deviation, and analysis of hierarchical linear models (HLM). The research found that Thai high school students have appropriate Internet use behaviour at a very appropriate level, while the HLM of appropriate Internet use behaviour of students contained two predictive variables at both the student level and school level. These included the four student predictive variables of ability, characteristic, family, and student grade point average (GPA). At the school level in the HLM, there were two predictor variables including friends and schools, which had a direct influence and an indirect influence, respectively. There were also six capacity variables having both positive influence and statistical significance.
机译:该研究使用分层线性模型来开发模型,以研究来自48个高中的2400名泰国高中学生适当互联网使用的变量。此外,将这些小组分为一组,每组1200名学生参加了与科学相关的课程,而第二组的1200名学生参加了与科学无关的课程。数据收集工具是可靠性问卷,其确定范围为0.75-0.97。使用统计平均值,标准差和层次线性模型(HLM)分析对数据进行分析。研究发现,泰国高中生在非常适当的水平上具有适当的互联网使用行为,而学生的适当互联网使用行为的HLM在学生级别和学校级别都包含两个预测变量。这些包括能力,特征,家庭和学生平均成绩(GPA)的四个学生预测变量。在HLM的学校级别上,有两个预测变量,包括朋友和学校,分别具有直接影响和间接影响。还有六个容量变量具有积极影响和统计意义。

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