项目无响应情况下MIRT模型潜变量选择的EMS算法
EMS algorithm for latent variable selection in MIRT model with item nonresponse
刘芙蓉 1徐平峰1
作者信息
- 1. 长春工业大学数学与统计学院,吉林长春 130012
- 折叠
摘要
考虑在教育评估和心理测试中,项目无响应情况下潜变量选择的问题.针对缺失数据过程建立一个项目反应理论(IRT)模型,应用期望模型选择(EMS)算法对其进行潜变量选择.模拟显示,此方法参数估计和潜变量选择结果均较为准确.并用其分析2018国际学生评估计划(PISA)针对学生进行的问卷调查数据.
Abstract
Consider the problem of latent variable selection in the case of item unresponsiveness in educational assessments and psychological tests.An item response theory(IRT)model is established for the missing data process,and the expected model selection(EMS)algorithm is used to select the latent variables.The simulation results show that the results of the parameter estimation and latent variable selection of this method are accurate.It was used to analyze data from the 2018 Programme for International Student Assessment(PISA)survey of students.
关键词
MIRT模型/缺失响应/EMS算法Key words
MIRT model/missing respond/EMS algorith引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据