摘要
作为一种过程性评价的结果,由学校或地区开展的校本考试成绩更能反映学生能力和学习情况,理应在学生评价中发挥更为重要的作用。然而,校本成绩的分散性增加了对其进行客观比较的难度,限制了其在大规模考试选拔中的广泛应用。本文采用了回归和多层线性模型,探讨了利用统一考试成绩来校验校本考试成绩的可行性,比较了两种统计分析模型的成效。结果表明,多层线性模型的分析结果更符合实际情况,效果相对较好,回归分析操作和解释更为简单,在大规模考试中应用具有一定的优势。
Scores on school-based exams,i. e.,formative assessment developed by a school or district,can more effectively reflect students＇ ability and learning process than summative assessment results and therefore should receive more emphasis in student assessment. However,because school-based exams are conducted locally,exam scores may not be comparable across schools,limiting the application of these exams in large-scale exam-based selection. This study compares the effectiveness of multiple regression and hierarchical linear modeling in moderating school-based exam scores and finds hierarchical linear modeling is more practical and accurate while the multiple regression model is simpler and easier to conduct for large scale exams.
出处
《清华大学教育研究》
CSSCI
北大核心
2016年第1期93-98,共6页
Tsinghua Journal of Education
基金
2011年全国教育考试专项立项课题(GFA111003)
关键词
自主招生
校本成绩
多层线性模型
multiple regression
hierarchical linear modeling
school-based exam score
