摘要
为考试机构的考试数据分析工作提供实践新思路,以某学科高中学业水平等级考适应性测试数据为样本,采用CTT下的亚组分析及试题难度参数结构分析、多级计分IRT下的试题类别特征曲线和信息函数,分析试卷对不同能力考生的区分程度、试题难度结构配比、非选择题分值及采分点设置的适宜性。研究表明,上述结合CTT和IRT的考试数据分析方法拓展了传统的考试数据分析模型,研究展现的数据分析流程、结果样式及用途说明能为等级考命题提供数据支持。
In order to provide a new practical idea for the test data analysis of education examinations authorities,the study takes the adaptability examination data of a certain subject in high school academic proficiency graded examinations as samples and adopts the subgroup analysis and the structural analysis of tests’difficulty parameters under CTT,the characteristic curve and information function of tests genres under multi-level scoring IRT to analyze the degree to which the test paper distinguishes students of different abilities,the ratio of hard and easy questions and the points occupation and point giving standards of nonmultiple choice questions.The research shows that the above test data analysis methods combined CTT and IRT expand the traditional test data analysis model.Meanwhile,the data analysis process,the description of the results and the application methods shown in the research will provide data support for designing the graded examinations.
作者
沈励
万雅奇
SHEN Li;WAN Yaqi(Beijing Education Examinations Authority,Beijing 100083,China)
出处
《中国考试》
CSSCI
北大核心
2022年第5期54-63,共10页
journal of China Examinations
关键词
经典测量理论
项目反应理论
考试数据分析
学业水平考试
等级考
试题质量
classical testing theory
item response theory
test data analysis
academic proficiency graded examination
item quality