学前教育质量评估研究中统计分析方法的新发展

发布时间：2018-03-20 00:12

本文选题：学前教育质量评估　切入点：统计分析方法　出处：《学前教育研究》2013年02期 　论文类型：期刊论文

【摘要】：近年来一些新的统计分析方法被应用到学前教育质量评估研究中,提升了分析的科学性。首先,多层线性模型符合各种质量要素的层次性特点,克服了传统分析不分层次的缺陷;其次,广义加性模型等非线性模型的分析方法,能客观地描绘出各质量要素之间的非线性关系,与传统的线性分析相比具有更高的准确性;第三,项目反应理论在儿童发展评价中的应用,克服了经典测量理论的若干缺陷,使对儿童发展成果的评量更加准确、客观;第四,断点回归等"拟随机实验"避免了传统研究设计实施难度大的弱点,增强了研究的可行性和分析的科学性。
[Abstract]:In recent years, some new statistical analysis methods have been applied to the study of preschool education quality evaluation, which has improved the scientific nature of the analysis. Firstly, the multilevel linear model accords with the hierarchical characteristics of various quality elements. It overcomes the defects of traditional analysis, such as generalized additive model and so on, which can objectively describe the nonlinear relationship between various quality elements, and has higher accuracy than traditional linear analysis. Thirdly, the application of project response theory in child development evaluation overcomes some defects of classical measurement theory and makes the evaluation of children's development achievement more accurate and objective. 4th, The "quasi-random experiment" such as breakpoint regression avoids the weakness of the traditional research design and enhances the feasibility of the research and the scientific nature of the analysis.
【作者单位】：首都师范大学学前教育学院;
【基金】：奕阳教育研究院青年学者学术研究小额资助项目“几种新型统计方法在我国学前教育实施效果评估中的应用研究”(编号:QX2011-02) 北京市教育科学“十一五”规划重点课题“北京农村学前一年义务教育可行性研究”(批准号:ACA06055)的阶段性研究成果
【分类号】：G619.20

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