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EDUCATION EQUITY IN SWEDISH COMPULSORY SCHOOL Effects of student background, personal and school characteristics on their academic achievement in PISA 2015

机译:sWEDIsH COmpULsORY sCHOOL的学生背景2015年pIsa学生背景,个人和学校特征对学业成绩的影响

摘要

Aim:In order to explore the Swedish compulsory school equity issues, the Programme for International Student Assessment (PISA) Swedish data 2015 in terms of student background, student and school characteristics factors are applied in the study.Theory:The input-process-outcome (IPO) model is applied in this thesis as my theoretical framework since it is widely applied in educational effectiveness research (EER) to lead the selection of variables and specification of statistical models. It not only reflects on dominant way of thinking about group performance in the groups literature, but also plays an important role in guiding researcher’s later research design and select modules from the input, process and output categories in carriable selection.Method:Confirmatory factor analysis (CFA) and a two-level structural equation modelling (SEM) as the analytical methods are applied in this study. Through a single level CFA analysis, student background and characteristic variables were analyzed. The single-level model was extended to a two-level SEM so that the effects of school characteristics were studied in relation to school and student academic achievement.Results:In two models constructed using CFA and two-level SEM, significant findings are presented in the study. That is, there is education inequity in Swedish compulsory school and it is present on two labels. The single individual level model shows that student family background, student and school characteristics variables have significant impact on student academic achievement. The two-level SEM model shows that variables concerning student background on the school level still has an impact on academic achievement.
机译:目的:为了探讨瑞典义务学校的公平问题,本研究采用了2015年国际学生评估计划(PISA)瑞典数据,其中包括学生背景,学生和学校特征因素。理论:输入过程结果本文将(IPO)模型作为我的理论框架,因为该模型已广泛应用于教育有效性研究(EER)中,以引导变量的选择和统计模型的规范。它不仅反映了群体文献中关于群体绩效的主导思维方式,而且在指导研究者的后期研究设计以及在可携带选择中从输入,过程和输出类别中选择模块方面发挥着重要作用。方法:确定性因子分析( CFA)和两级结构方程模型(SEM)作为分析方法被应用在这项研究中。通过单级CFA分析,分析了学生的背景和特征变量。将单级模型扩展到两级SEM,以便研究学校特征对学校和学生学业成绩的影响。结果:在使用CFA和两级SEM构建的两个模型中,提出了重要的发现。研究。也就是说,瑞典义务学校存在教育不平等现象,并且存在两个标签。单人水平模型表明,学生家庭背景,学生和学校特征变量对学生的学业成绩有重大影响。二级SEM模型显示,与学校背景的学生背景相关的变量仍会对学业成绩产生影响。

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  • 作者

    Yang Xing;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 eng
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