ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2019, Vol. 27 ›› Issue (5): 937-950.doi: 10.3724/SP.J.1042.2019.00937

• 研究方法 • 上一篇    

解释性项目反应理论模型:理论与应用

陈冠宇, 陈平()   

  1. 北京师范大学中国基础教育质量监测协同创新中心, 北京 100875
  • 收稿日期:2018-06-07 出版日期:2019-05-15 发布日期:2019-03-20
  • 通讯作者: 陈平 E-mail:pchen@bnu.edu.cn
  • 基金资助:
    * 国家自然科学基金青年基金项目(31300862);东北师范大学应用统计教育部重点实验室开放课题(KLAS130028732);中国基础教育质量监测协同创新中心研究生自主课题资助(BJSM-2016A1-16004)

Explanatory item response theory models: Theory and application

CHEN Guanyu, CHEN Ping()   

  1. Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing 100875, China
  • Received:2018-06-07 Online:2019-05-15 Published:2019-03-20
  • Contact: CHEN Ping E-mail:pchen@bnu.edu.cn

摘要:

解释性项目反应理论模型(Explanatory Item Response Theory Models, EIRTM)是指基于广义线性混合模型和非线性混合模型构建的项目反应理论(Item Response Theory, IRT)模型。EIRTM能在IRT模型的基础上直接加入预测变量, 从而解决各类测量问题。首先介绍EIRTM的相关概念和参数估计方法, 然后展示如何使用EIRTM处理题目位置效应、测验模式效应、题目功能差异、局部被试依赖和局部题目依赖, 接着提供实例对EIRTM的使用进行说明, 最后对EIRTM的不足之处和应用前景进行讨论。

关键词: 解释性项目反应理论, 广义线性混合模型, 非线性混合模型, 测量不变性, 解释性测量

Abstract:

Explanatory item response theory models (EIRTM) refer to a family of item response theory (IRT) models that are constructed based on the generalized linear mixed models and nonlinear mixed models. EIRTM can be utilized to address various measurement problems by incorporating predictors into IRT models. First, the relevant concepts and parameter estimation methods of EIRTM are introduced in this paper, followed by the procedures regarding how to use EIRTM to account for the item position effect, test mode effect, differential item functioning, local person dependence, and local item dependence. Next, an example is provided to illustrate the use of EIRTM. Finally, the shortcomings and potential applications of EIRTM are discussed.

Key words: explanatory item response theory, generalized linear mixed models, nonlinear mixed models, measurement invariance, explanatory measurement

中图分类号: