多水平混合IRT模型及其发展与应用
Multilevel Mixture IRT Model and Its Development and Applications
DOI: 10.12677/AP.2021.116160, PDF,  被引量    科研立项经费支持
作者: 齐媛媛, 陈德枝*：浙江师范大学杭州幼儿师范学院，浙江 杭州
关键词: 多水平混合IRT模型；IRT；潜在类别分析；多水平分析；Multilevel Mixture IRT Model； IRT； Latent Category Analysis； Multi-Level Analysis
摘要: 多水平混合IRT模型(MMIRTM)将IRT与潜在类别分析和阶层线性模型相结合，能够同时对嵌套在多水平下的被试分类并量化其潜在特质。它是近年来教育心理测量学的研究热点与重点之一。在梳理多水平混合IRT模型的发展由来、基本概念和原理的基础上，对多水平混合IRT模型在项目功能差异检测等领域的应用做了相关阐述，并对当前多水平混合IRT模型的应用与拓展进行了述评与展望。
Abstract: The Multilevel Mixture IRT Model (MMIRTM) combines IRT with latent category analysis and hie-rarchical linear model, which can simultaneously classify and quantify the potential characteris-tics of subjects nested in multiple levels. It is one of the research hotspots and key points of educational psychometrics in recent years. On the basis of sorting out the development origin, basic concepts and principles of the multilevel mixture IRT model, this paper elaborates the application of the multilevel mixture IRT model in the field of Differential Item Functioning (DIF) detection and other fields, and makes an review and outlook on the application and expansion of the current multilevel mixture IRT model.
文章引用：齐媛媛, 陈德枝 (2021). 多水平混合IRT模型及其发展与应用. 心理学进展, 11(6), 1428-1437. https://doi.org/10.12677/AP.2021.116160

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