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Multilevel Analysis of PISA 2003 with Influence on Achievement from Education Index of Countries and Time Studying of Students

机译:PISA 2003对各国教育指数的影响分析及学生时间研究

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Starting from 2000, the Programme on International Student Assessment (PISA) is held by the Organization for Economic Co-operation and Development (OECD) for the 15-year-old every three years. The sample includes over 270,000 participants of 41 countries in the PISA 2003 database aimed at evaluating mathematics and problem-solving ability. Most of the studies on the database are analyses of descriptive statistics, however, the database has the characteristics of hierarchical properties. It is necessary to use hierarchical linear model (HLM) of two levels to analyze the relation between the variables of countries and students. The unit in level-1 is students. The variables belonging to the level-1 are the score of mathematics cognition and the time studying mathematics homework outside the regular mathematics classes. As to the level-2, the unit is countries and the variable is Education Index (EI) from Human Development Reports (HDR) of United Nations Development Programme (UNDP). Also, in considering of the differences between OECD countries and non-OECD countries, the database is divided into two groups. Therefore, the purpose of this study is to investigate the PISA 2003 database by HLM of two levels analysis and to provide some suggestions in education and recommendations for future research.
机译:从2000年开始,国际学生评估项目(PISA)是由经济合作与发展组织(OECD)的15岁每三年举行一次。该示例包括比萨2003年数据库中41个国家的超过270,000个参与者,旨在评估数学和解决问题的能力。大多数关于数据库的研究是描述性统计数据的分析,但是,数据库具有分层属性的特征。有必要使用两个级别的分层线性模型(HLM)来分析国家和学生的变量之间的关系。 1级的单位是学生。属于Level-1的变量是数学认知的分数以及在常规数学课程外学习数学作业的时间。至于第2级,单位是各国,可变是来自联合国开发计划署(开发计划署)的人类发展报告(HDR)的教育指数(EI)。此外,在考虑经合组织国家和非经合组织国家之间的差异,数据库分为两组。因此,本研究的目的是通过两个层面分析的HLM调查PISA 2003数据库,并为未来研究提供一些教育和建议的建议。

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