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 ›› 2012, Vol. 20 ›› Issue (4): 627-632.

• 研究方法 • 上一篇    

多水平IRT的发展与应用述评

刘慧;简小珠;张敏强;熊悦欣   

  1. (1华南师范大学心理应用研究中心, 广州 510631) (2井冈山大学教育学院, 吉安 343009)
    (3华南师范大学心理学基地班, 广州 510631)
  • 收稿日期:2011-09-13 修回日期:1900-01-01 出版日期:2012-04-15 发布日期:2012-04-15
  • 通讯作者: 张敏强

Development and Application of Multilevel Item Response Theory

LIU Hui;JIAN Xiao-Zhu;ZHANG Min-Qiang;XIONG Yue-Xin   

  1. (1 Psychological Application Research Center, South China Normal University, Guangzhou 510631, China)
    (2 Educational Department, Jinggangshan University, Ji’an 343009, China)
    (3 Psychological base class, South China Normal University, Guangzhou 510631, China)
  • Received:2011-09-13 Revised:1900-01-01 Online:2012-04-15 Published:2012-04-15
  • Contact: ZHANG Min-Qiang

摘要: 阶层线性模型是处理阶层结构数据的高级统计方法, 项目反应理论是精确测量被试能力的现代测量理论。多水平项目反应理论将阶层线性模型和项目反应理论相结合, 将项目反应模型嵌套在阶层线性模型内, 实现了项目参数和不同水平能力参数的估计, 对回归系数和误差项变异的估计也更加精确。作者概述了多水平项目反应理论的发展历程, 并从项目功能差异、测验等值、学校效能研究等方面评述了多水平项目反应理论在心理与教育测量中的应用, 总结了多水平项目反应理论的价值, 同时展望了今后的研究趋势。

关键词: 多水平项目反应理论, 项目反应理论, 阶层线性模型

Abstract: Hierarchical linear model (HLM) is an advanced statistical method for analyzing hierarchical structure data, and item response theory (IRT) is a modern measurement theory for accurately estimating individual’s ability. Combining HLM and IRT brought about the development of multilevel item response theory (multilevel IRT), where ability parameter in item response model is treated as latent variable in HLM. Multilevel IRT can be used not only to obtain the values of item parameters and ability parameters of different levels, but also to estimate the regression coefficients and variance components more precisely. In this paper, the authors expound the developmental history of multilevel IRT, then evaluate the academic value of multilevel IRT from the perspectives of differential item functioning, test equating and school effectiveness research. Future research directions for multilevel IRT are discussed as well.

Key words: multilevel IRT, item response theory, hierarchical linear model