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Journal of Educational Measurement最新文献

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Evaluation of Factors Affecting the Performance of the S−X2$S-X^{2}$ Item‐Fit Index S- X2$S- x ^{2}$项目拟合指数性能影响因素的评价
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-29 DOI: 10.1111/jedm.12312
Hyungjin Kim, Won‐Chan Lee
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引用次数: 0
A Residual‐Based Differential Item Functioning Detection Framework in Item Response Theory 项目反应理论中基于残差的差异项目功能检测框架
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-28 DOI: 10.1111/jedm.12313
Hwanggyu Lim, Edison M. Choe, K. T. Han
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引用次数: 4
Assessing the Impact of Equating Error on Group Means and Group Mean Differences 评估等式误差对组均值和组均值差异的影响
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-16 DOI: 10.1111/jedm.12311
Dongmei Li
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引用次数: 0
Generating Models for Item Preknowledge 生成项目预知模型
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-09 DOI: 10.1111/jedm.12309
Kylie Gorney, James A. Wollack
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引用次数: 3
Exploring the Impact of Random Guessing in Distractor Analysis 探索随机猜测在干扰物分析中的影响
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-09 DOI: 10.1111/jedm.12310
K. Jin, Wai‐Lok Siu, Xiaoting Huang
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引用次数: 5
Editorial for JEM issue 58-4 JEM第58-4期社论
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-03 DOI: 10.1111/jedm.12308
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引用次数: 0
Editorial for JEM issue 59‐1 《JEM》第59 - 1期社论
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-01 DOI: 10.1111/jedm.12314
Sandip Sinharay
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引用次数: 0
Constructing a Robust Score Scale from IRT Scores with Informed Boundaries 基于知情边界的IRT评分构建稳健的评分量表
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-01 DOI: 10.1111/jedm.12307
Edison M. Choe, K. T. Han
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引用次数: 0
Editorial for JEM issue 59‐1 《JEM》第59 - 1期社论
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-03-01 DOI: 10.1111/jedm.12314
Sandip Sinharay
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引用次数: 0
Explanatory Cognitive Diagnostic Modeling Incorporating Response Times 包含反应时间的解释性认知诊断模型
IF 1.3 4区 心理学 Q1 Psychology Pub Date : 2022-02-23 DOI: 10.1111/jedm.12306
Xin Qiao, Hong Jiao

This study proposes explanatory cognitive diagnostic model (CDM) jointly incorporating responses and response times (RTs) with the inclusion of item covariates related to both item responses and RTs. The joint modeling of item responses and RTs intends to provide more information for cognitive diagnosis while item covariates can be used to predict item parameters when item calibration is not feasible in diagnostic assessments or item parameter estimation errors could be too large due to small sample sizes for calibration. In addition, the inclusion of the item covariates allows the evaluation of cognitive theories underlying the test design in item development. Model parameter estimation is explored using the Bayesian Markov chain Monte Carlo (MCMC) method. A Monte Carlo simulation study is conducted to examine the parameter recovery of the proposed model under different simulated conditions in comparison to alternative competing models. Further, the application of the proposed model is illustrated using the Programme for International Student Assessment (PISA) 2012 problem-solving items modeling both item response and RT data. The study results indicate that model parameters can be well recovered using the MCMC algorithm and the explanatory CDM jointly incorporating item responses and RTs with item covariates holds promising applications in digital-based diagnostic assessments.

本研究提出了一种包含反应和反应时间的解释性认知诊断模型(CDM),该模型包含了与反应时间和反应时间相关的项目协变量。项目反应和即时反应的联合建模旨在为认知诊断提供更多的信息,而当诊断评估中无法进行项目校准或由于校准样本量小而导致项目参数估计误差过大时,项目协变量可用于预测项目参数。此外,项目协变量的包含允许在项目开发测试设计的认知理论的评价。利用贝叶斯马尔可夫链蒙特卡罗(MCMC)方法对模型参数估计进行了探讨。通过蒙特卡罗模拟研究,对比了不同模拟条件下所提出模型与其他竞争模型的参数恢复情况。此外,使用国际学生评估项目(PISA) 2012解决问题项目建模项目反应和RT数据来说明所提出模型的应用。研究结果表明,MCMC算法可以很好地恢复模型参数,而将项目反应和RTs与项目协变量相结合的解释性CDM在基于数字的诊断评估中具有很好的应用前景。
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引用次数: 0
期刊
Journal of Educational Measurement
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