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 ›› 2015, Vol. 23 ›› Issue (1): 150-157.doi: 10.3724/SP.J.1042.2015.00150

• 研究方法 • 上一篇    下一篇

高阶项目反应模型的发展与应用

陈飞鹏1;詹沛达1,4;王立君1;陈春晓2;蔡毛3   

  1. (1浙江师范大学心理系, 金华 321004) (2杭州第四中学, 杭州 310002) (3杭州第九中学, 杭州 310020) (4北京师范大学认知神经科学与学习国家重点实验室, 北京 100875)
  • 收稿日期:2014-01-07 出版日期:2015-01-15 发布日期:2015-01-15
  • 通讯作者: 王立君, E-mail: frankwlj@163.com

The Development and Application of Higher-Order Item Response Models

CHEN Feipeng1; ZHAN Peida1,4; WANG Lijun1; CHEN Chunxiao2; CAO Mao3   

  1. (1 Department of Psychology, Zhejiang Normal University, Jinhua 321004, China) (2 Hangzhou NO.4 High School, Hangzhou 310002, China) (3 Hangzhou NO.9 High School, Hangzhou 310020, China) (4 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China)
  • Received:2014-01-07 Online:2015-01-15 Published:2015-01-15
  • Contact: WANG Lijun, E-mail: frankwlj@163.com

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被引次数

5

摘要：

在测量具有层阶结构的潜质时, 标准项目反应模型对项目参数估计和能力参数估计都具有较低的效率, 多维项目反应模型虽然在估计第一阶潜质时具有高效性, 但没有考虑到潜质层阶的情况, 所以它不适合用来处理具有层阶结构的潜质; 而高阶项目反应模型在处理这种具有层阶结构的潜质时, 不仅能够高效准确地对项目参数和能力参数进行估计, 而且还能同时获得高阶潜质与低阶潜质。目前存在的高阶项目反应模型有高阶DINA模型、高阶双参数正态肩型层阶模型、高阶逻辑斯蒂模型、多级评分的高阶项目反应模型和高阶题组模型。未来对高阶项目反应模型的研究方向应注意多水平高阶项目反应模型、项目内多维情况下的高阶项目反应模型以及高阶认知诊断模型。

关键词: 项目反应理论, 高阶项目反应模型, 多维项目反应模型, 低阶潜质, 高阶潜质

Abstract:

When measuring hierarchical latent trait, the standard IRT models have low efficiency in estimating item parameters and ability parameters. Without considering hierarchical structure, MIRT models have a high efficiency in estimating the first-order latent traits. It is not suitable for dealing with hierarchical latent trait. The HO-IRM not only can produce more accurate item parameter and ability parameters estimates, but also can obtain the first-order and high-order latent traits. The currently-existing HO-IRM includes high-order DINA model, high-order two parameter normal ogive hierarchical model, high-order logistic model, high-order polytomous items model and higher-order testlet model. In the future HO-IRM study, attention must be paid to the multi-level HO-IRM, HO-IRM within an item in the multidimensional situation and high-order cognitive diagnostic models.

Key words: IRT, HO-IRM, MIRM, first-order latent traits, high-order latent traits