Applying support vector machines to a diagnostic classification model for polytomous attributes in small-sample contexts [0.03%]
支持向量机在小样本多项属性诊断分类中的应用研究
Xiaoyu Li,Shenghong Dong,Shaoyang Guo et al.
Xiaoyu Li et al.
Over several years, the evaluation of polytomous attributes in small-sample settings has posed a challenge to the application of cognitive diagnosis models. To enhance classification precision, the support vector machine (SVM) was introduce...
Average treatment effects on binary outcomes with stochastic covariates [0.03%]
二值响应的处理效应估计及其变量的随机性问题
Christoph Kiefer,Marcella L Woud,Simon E Blackwell et al.
Christoph Kiefer et al.
When evaluating the effect of psychological treatments on a dichotomous outcome variable in a randomized controlled trial (RCT), covariate adjustment using logistic regression models is often applied. In the presence of covariates, average ...
Are alternative variables in a set differently associated with a target variable? Statistical tests and practical advice for dealing with dependent correlations [0.03%]
集合中的替代变量与目标变量的关联不同吗？处理依赖相关性的统计检验和实用建议
Miguel A García-Pérez
Miguel A García-Pérez
The analysis of multiple bivariate correlations is often carried out by conducting simple tests to check whether each of them is significantly different from zero. In addition, pairwise differences are often judged by eye or by comparing th...
Juntao Wang,Jiangtao Duan
Juntao Wang
Exploratory cognitive diagnosis models have been widely used in psychology, education and other fields. This paper focuses on determining the number of attributes in a widely used cognitive diagnosis model, the GDINA model. Under some condi...
Nonparametric CD-CAT for multiple-choice items: Item selection method and Q-optimality [0.03%]
多项选择题的非参数CD-CAT项目选择方法及Q-最优性研究
Yu Wang,Chia-Yi Chiu,Hans Friedrich Köhn
Yu Wang
Computerized adaptive testing for cognitive diagnosis (CD-CAT) achieves remarkable estimation efficiency and accuracy by adaptively selecting and then administering items tailored to each examinee. The process of item selection stands as a ...
Xin Qiao,Akihito Kamata,Cornelis Potgieter
Xin Qiao
Oral reading fluency (ORF) assessments are commonly used to screen at-risk readers and evaluate interventions' effectiveness as curriculum-based measurements. Similar to the standard practice in item response theory (IRT), calibrated passag...
Pairwise stochastic approximation for confirmatory factor analysis of categorical data [0.03%]
分类数据确认性因子分析的配对随机逼近法
Giuseppe Alfonzetti,Ruggero Bellio,Yunxiao Chen et al.
Giuseppe Alfonzetti et al.
Pairwise likelihood is a limited-information method widely used to estimate latent variable models, including factor analysis of categorical data. It can often avoid evaluating high-dimensional integrals and, thus, is computationally more e...
Advances in meta-analysis: A unifying modelling framework with measurement error correction [0.03%]
元分析进展：一种具有测量误差修正的统一模型框架
Betsy Jane Becker,Qian Zhang
Betsy Jane Becker
In psychological studies, multivariate outcomes measured on the same individuals are often encountered. Effects originating from these outcomes are consequently dependent. Multivariate meta-analysis examines the relationships of multivariat...
Combining regularization and logistic regression model to validate the Q-matrix for cognitive diagnosis model [0.03%]
正则化与逻辑回归模型结合验证认知诊断模型题库矩阵
Xiaojian Sun,Tongxin Zhang,Chang Nie et al.
Xiaojian Sun et al.
Q-matrix is an important component of most cognitive diagnosis models (CDMs); however, it mainly relies on subject matter experts' judgements in empirical studies, which introduces the possibility of misspecified q-entries. To address this,...
Three new corrections for standardized person-fit statistics for tests with polytomous items [0.03%]
三种用于多选项测试的标准化人员适应统计的新校正方法
Kylie Gorney
Kylie Gorney
Recent years have seen a growing interest in the development of person-fit statistics for tests with polytomous items. Some of the most popular person-fit statistics for such tests belong to the class of standardized person-fit statistics, ...