Daxun Wang
Biographic Data
| ID | 8210252 |
|---|---|
| NAME | Daxun Wang |
| GIVEN NAMES | Daxun |
| FAMILY NAME | Wang |
| SIGNATURE | WANG D |
| AFFILIATIONS | Jiangxi Normal University |
| ORCID | 0000-0002-2086-1655 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Development of main effect DIF and interactive DIF detection method in cognitive diagnosis assessments
摘要: 在认知诊断评估中, 项目功能差异(DIF)检测是评估其测验公平性以及测量效度的重要技术手段。然而, 现有的认知诊断DIF检测方法局限于单一协变量视角下的主效应DIF检测, 对于由多个协变量交互作用引发的交互式DIF尚缺乏有效的检测手段。针对这一局限, 研究借鉴递归分割技术的核心思想, 提出了一种能够在认知诊断评估中同时检测主效应DIF和交互式DIF的新方法(记为ISRPM)。模拟研究结果表明, ISRPM不仅在主效应DIF检测中的整体表现与传统方法大体相当, 更重要的是, 其在交互式DIF检测方面的性能表现优于传统方法。实证研究则进一步支持了该方法的可用性, 结果显示, ISRPM与传统DIF检测方法在检测结果上具有较高一致性, 并在识别交互式DIF方面展现出潜在优势。总体而言, ISRPM的提出有望进一步提升认知诊断DIF检测精度, 并促进认知诊断评估在心理与教育测评实践中的推广与应用
An IRtree Model for Aberrant Response and Missing Data
In standardized tests, examinees are likely to engage in either one or more following test behaviors: solution behavior, rapid guessing behavior, cheating behavior, nonresponse behavior, etc. Examinees do not always response all items with solution behavior due to various reasons (such as time constraint or low motivation). Aside from solution behavior, rapid guessing, cheating or nonresponse behavior can result in aberrant responses and inaccura…
Faking modeling for forced choice measures in personality assessment based on RES theoretical framework
An Item Response Theory Model for Incorporating Response Times in Forced-Choice Measures
Forced-choice (FC) measures have been widely used in many personality or attitude tests as an alternative to rating scales, which employ comparative rather than absolute judgments. Several response biases, such as social desirability, response styles, and acquiescence bias, can be reduced effectively. Another type of data linked with comparative judgments is response time (RT), which contains potential information concerning respondents’ decision…
Development of Online Calibration Method based on SCAD penalty and EM perspective in CD-CAT
摘要: G-DINA (the generalized deterministic input, noisy and gate)模型限制条件少, 应用范围广, 满足大量心理与教育评估测验数据的要求。研究提出一种适用于G-DINA等模型的同时标定新题Q矩阵与项目参数的认知诊断计算机化自适应测验(CD-CAT)在线标定新方法SCADOCM, 以期促进CD-CAT在实践中的推广与应用。本研究分别基于模拟题库以及真实题库进行研究, 结果表明:相比传统的SIE方法, SCADOCM在各实验条件下均具有较为理想的标定精度与标定效率, 应用前景较好; SIE方法不适用于饱和的G-DINA等模型, 其各实验条件下的Q矩阵标定精度均较低
A Generalized Diagnostic Classification Modeling Framework Integrating Differential Speediness
To advance the theoretical foundation of incorporating response times (RTs) into diagnostic classification models (DCMs), this study attempts to further derive, test and illustrate a generalized modeling framework (known as the JVRT-LCDM) that can simultaneously analyze response accuracy and differential speediness based on an existing method (Zhan et al., British Journal of Mathematical and Statistical Psychology, 71(2), 262–286, 2018). The JVRT…
A high-efficiency and new online calibration method in CD-CAT based on information gain of entropy and EM algorithm
摘要: 项目增补(Item Replenishing)对认知诊断计算机自适应测验(CD-CAT)题库的维护有着至关重要的作用, 而在线标定是一种重要的项目增补方式。基于数据挖掘中特征选择(Feature Selection)的思路, 提出一种高效的基于熵的信息增益的在线标定方法(记为IGEOCM), 该方法利用被试在新旧题上的作答联合估计新题的Q矩阵和项目参数。研究采用Monte Carlo模拟实验验证所开发新方法的效果, 并同时与已有的在线标定方法SIE、SIE-R-BIC和RMSEA-N进行比较。结果表明:新开发的IGEOCM在各实验条件下均具有较好的项目标定精度和项目估计效率, 且整体上优于已有的SIE等方法; 同时, IGEOCM标定新题所需的时间低于SIE等方法。总之, 研究为CD-CAT题库中项目的增补提供了一种更为高效、准确的方法
基于类别水平的多级计分认知诊断q矩阵修正
Cognitive diagnostic assessments (CDAs) can provide fine-grained diagnostic information about students' knowledge states, so as to help to teach in accordance with the students’ aptitude. The development of cognitive diagnosis model for polytomous response data expands the application scope of cognitive diagnostic assessment. As the basis of CDAs, Q-matrix has aroused more and more attention for the subjective tendency in Q-matrix construction th…
Q-Matrix Estimation Methods for Cognitive Diagnosis Models
Different from the item response models that postulate a single underlying proficiency, cognitive diagnostic assessments (CDAs) can provide fine-grained diagnostic information about students' knowledge state to aid classroom instructions. In CDAs, a Q-matrix that associates each item in a test with the cognitive skills is required to infer students' knowledge states. In practice, the Q-matrix is typically performed by domain experts, which is cer…
Development of a Generalized Cognitive Diagnosis Model for polytomous responses based on Partial Credit Model
Currently, a large number of cognitive diagnosis models (CDMs) have been proposed to satisfy the demands of the cognitively diagnostic assessment. However, most existing CDMs are only suitable for dichotomously scored items. In practice, there are lager polytomously-score items/data in educational and psychological tests. Therefore, it is very necessary to develop CDMs for polytomous data. Under the item response theory (IRT) framework, the polyt…
The CDA-BPD
To obtain rich information about the cognitive diagnosis of borderline personality disorder (BPD), this study attempted to retrofit a traditional borderline personality questionnaire so that the improved assessment (called CDA-BPD) could provide more diagnostic information. The retrofitting processes included the following steps: (1) applied an cognitive diagnosis model to analyze the psychometric characteristics of the traditional questionnaire;…
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Development of a Generalized Cognitive Diagnosis Model for polytomous responses based on Partial Credit Model
Currently, a large number of cognitive diagnosis models (CDMs) have been proposed to satisfy the demands of the cognitively diagnostic assessment. However, most existing CDMs are only suitable for dichotomously scored items. In practice, there are lager polytomously-score items/data in educational and psychological tests. Therefore, it is very necessary to develop CDMs for polytomous data. Under the item response theory (IRT) framework, the polyt…
The CDA-BPD
To obtain rich information about the cognitive diagnosis of borderline personality disorder (BPD), this study attempted to retrofit a traditional borderline personality questionnaire so that the improved assessment (called CDA-BPD) could provide more diagnostic information. The retrofitting processes included the following steps: (1) applied an cognitive diagnosis model to analyze the psychometric characteristics of the traditional questionnaire;…
基于类别水平的多级计分认知诊断q矩阵修正
Cognitive diagnostic assessments (CDAs) can provide fine-grained diagnostic information about students' knowledge states, so as to help to teach in accordance with the students’ aptitude. The development of cognitive diagnosis model for polytomous response data expands the application scope of cognitive diagnostic assessment. As the basis of CDAs, Q-matrix has aroused more and more attention for the subjective tendency in Q-matrix construction th…
Q-Matrix Estimation Methods for Cognitive Diagnosis Models
Different from the item response models that postulate a single underlying proficiency, cognitive diagnostic assessments (CDAs) can provide fine-grained diagnostic information about students' knowledge state to aid classroom instructions. In CDAs, a Q-matrix that associates each item in a test with the cognitive skills is required to infer students' knowledge states. In practice, the Q-matrix is typically performed by domain experts, which is cer…
A high-efficiency and new online calibration method in CD-CAT based on information gain of entropy and EM algorithm
摘要: 项目增补(Item Replenishing)对认知诊断计算机自适应测验(CD-CAT)题库的维护有着至关重要的作用, 而在线标定是一种重要的项目增补方式。基于数据挖掘中特征选择(Feature Selection)的思路, 提出一种高效的基于熵的信息增益的在线标定方法(记为IGEOCM), 该方法利用被试在新旧题上的作答联合估计新题的Q矩阵和项目参数。研究采用Monte Carlo模拟实验验证所开发新方法的效果, 并同时与已有的在线标定方法SIE、SIE-R-BIC和RMSEA-N进行比较。结果表明:新开发的IGEOCM在各实验条件下均具有较好的项目标定精度和项目估计效率, 且整体上优于已有的SIE等方法; 同时, IGEOCM标定新题所需的时间低于SIE等方法。总之, 研究为CD-CAT题库中项目的增补提供了一种更为高效、准确的方法
A Generalized Diagnostic Classification Modeling Framework Integrating Differential Speediness
To advance the theoretical foundation of incorporating response times (RTs) into diagnostic classification models (DCMs), this study attempts to further derive, test and illustrate a generalized modeling framework (known as the JVRT-LCDM) that can simultaneously analyze response accuracy and differential speediness based on an existing method (Zhan et al., British Journal of Mathematical and Statistical Psychology, 71(2), 262–286, 2018). The JVRT…
An Item Response Theory Model for Incorporating Response Times in Forced-Choice Measures
Forced-choice (FC) measures have been widely used in many personality or attitude tests as an alternative to rating scales, which employ comparative rather than absolute judgments. Several response biases, such as social desirability, response styles, and acquiescence bias, can be reduced effectively. Another type of data linked with comparative judgments is response time (RT), which contains potential information concerning respondents’ decision…
Development of Online Calibration Method based on SCAD penalty and EM perspective in CD-CAT
摘要: G-DINA (the generalized deterministic input, noisy and gate)模型限制条件少, 应用范围广, 满足大量心理与教育评估测验数据的要求。研究提出一种适用于G-DINA等模型的同时标定新题Q矩阵与项目参数的认知诊断计算机化自适应测验(CD-CAT)在线标定新方法SCADOCM, 以期促进CD-CAT在实践中的推广与应用。本研究分别基于模拟题库以及真实题库进行研究, 结果表明:相比传统的SIE方法, SCADOCM在各实验条件下均具有较为理想的标定精度与标定效率, 应用前景较好; SIE方法不适用于饱和的G-DINA等模型, 其各实验条件下的Q矩阵标定精度均较低
Faking modeling for forced choice measures in personality assessment based on RES theoretical framework
Development of main effect DIF and interactive DIF detection method in cognitive diagnosis assessments
摘要: 在认知诊断评估中, 项目功能差异(DIF)检测是评估其测验公平性以及测量效度的重要技术手段。然而, 现有的认知诊断DIF检测方法局限于单一协变量视角下的主效应DIF检测, 对于由多个协变量交互作用引发的交互式DIF尚缺乏有效的检测手段。针对这一局限, 研究借鉴递归分割技术的核心思想, 提出了一种能够在认知诊断评估中同时检测主效应DIF和交互式DIF的新方法(记为ISRPM)。模拟研究结果表明, ISRPM不仅在主效应DIF检测中的整体表现与传统方法大体相当, 更重要的是, 其在交互式DIF检测方面的性能表现优于传统方法。实证研究则进一步支持了该方法的可用性, 结果显示, ISRPM与传统DIF检测方法在检测结果上具有较高一致性, 并在识别交互式DIF方面展现出潜在优势。总体而言, ISRPM的提出有望进一步提升认知诊断DIF检测精度, 并促进认知诊断评估在心理与教育测评实践中的推广与应用
An IRtree Model for Aberrant Response and Missing Data
In standardized tests, examinees are likely to engage in either one or more following test behaviors: solution behavior, rapid guessing behavior, cheating behavior, nonresponse behavior, etc. Examinees do not always response all items with solution behavior due to various reasons (such as time constraint or low motivation). Aside from solution behavior, rapid guessing, cheating or nonresponse behavior can result in aberrant responses and inaccura…
Mathematics (7 works) · Statistics (7 works) · Computer Science (6 works) · Item response theory (5 works) · Psychology (5 works) · Psychometric Methodologies and Testing (5 works) · Artificial Intelligence (3 works) · Cognition (3 works) · Data mining (3 works) · Econometrics (3 works)