摘要
当教育测验获得的题项分数为顺序数据时,题项间的关联程度应该用多分格相关系数加以刻画.基于结构方程模型(SEM)中的CFA技术,结合实例讨论了鉴别试卷题项质量的方法,进而探讨了反映学生知识结构的路径分析技术(PV-OV).综合运用相关系数分析、特质载荷分析、特质间关联强度的路径分析等统计技术,为改善试卷质量分析工作的科学化水平提供技术支持,也为后续的教学改进提供有参考价值的信息.
When the item scores of educational tests are sorted as ordinal categorical data, the correla- tion among the items should be described by the polychoric correlation coefficient. By using the CFA technology of the Structural Equation Modeling （SEM）, this paper discusses the methods of identifying the test paper quality, and the Route Analysis on students knowledge structures （PV-OV）. The statistical techniques, such as the analysis of correlation coefficient, analysis of trait load, the route analysis on inten- sive relationship among traits are utilized,which can provide a reliable technical support on improving the scientific level of test paper quality analysis,and promote future teaching.
作者
孟小燕
田振清
MENG Xiao-yan TIAN Zhen-qing(Youth College of Political Science, Inner Mongolia Normal University, Hohhot 010051 ,China College of Educational Information Technology, Inner Mongolia Normal University, Hohhot 010022 ,China)
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第3期381-385,共5页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
内蒙古自治区高等学校科学技术研究项目(NJSY17500)
内蒙古自治区教育厅委托项目(170007)
关键词
教育测验
质量分析
顺序数据
多分格相关系数
验证性分析因子
edueational test
quality analysis
ordinal categorical data
polyehoric correlationcoefficient
confirmatory analysis factor
