Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types
Asymptotically Corrected Person Fit Statistics for Multidimensional Constructs with Simple Structure and Mixed Item Types
复制标题
具有简单结构和混合项目类型的多维结构的渐近校正人体拟合统计
DOI：
10.1007/s11336-021-09756-3
复制
发表时间：
2021
期刊：
影响因子：
3
通讯作者：
Cheng, Ying
中科院分区：
文献类型：
--
作者：
Hong, Maxwell;Lin, Lizhen;Cheng, Ying
Person fit statistics are frequently used to detect aberrant behavior when assuming an item response model generated the data. A common statistic, lz\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}\end{document}, the latent trait, including MLE, MAP and WLE. We provide analytical derivations that justifies our proposed correction, as well as simulation studies to examine the performance of the proposed correction with finite test lengths. An applied example is also provided to demonstrate proof of concept. We conclude with recommendations for practitioners when the asymptotic correction works well under different conditions and also future directions.
Person fit statistics are frequently used to detect aberrant behavior when assuming an item response model generated the data. A common statistic, lz\documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}\end{document}, the latent trait, including MLE, MAP and WLE. We provide analytical derivations that justifies our proposed correction, as well as simulation studies to examine the performance of the proposed correction with finite test lengths. An applied example is also provided to demonstrate proof of concept. We conclude with recommendations for practitioners when the asymptotic correction works well under different conditions and also future directions.
登录
查看更多内容
PerFit：IRT 中用于人员适合度分析的 R 包
DOI：
--
发表时间：
2016
期刊：
影响因子：
--
作者：
J. Tendeiro;R. Meijer;Susan Niessen
通讯作者：
Susan Niessen
ltm：用于潜变量建模和项目响应理论分析的 R 包
DOI：
--
发表时间：
2006
期刊：
影响因子：
--
作者：
Dimitrios Rizopoulos
通讯作者：
Dimitrios Rizopoulos
影响因子：
3
作者：
Can Shao;Jun Yu Li;Ying Cheng
通讯作者：
Ying Cheng
具有估计人员参数的人员拟合统计量的渐近零分布
DOI：
--
发表时间：
2001
期刊：
影响因子：
--
作者：
T. Snijders
通讯作者：
T. Snijders
Snijders lz* 人适合度指数的教学演示，重点是响应模型选择和能力估计
影响因子：
2.4
作者：
D. Magis;Gilles Raîche;Sébastien Béland
通讯作者：
Sébastien Béland