Feri Wijayanto,Ioan Gabriel Bucur,Perry Groot et al.
Feri Wijayanto et al.
The R package autoRasch has been developed to perform a Rasch analysis in a (semi-)automated way. The automated part of the analysis is achieved by optimizing the so-called in-plus-out-of-questionnaire log-likelihood (IPOQ-LL) or IPOQ-LL-DI...
Zhuangzhuang Han,Sandip Sinharay,Matthew S Johnson et al.
Zhuangzhuang Han et al.
The S-X 2 statistic (Orlando & Thissen, 2000) is popular among researchers and practitioners who are interested in the assessment of item fit. However, the statistic suffers from the Chernoff-Lehmann problem (Chernoff & Lehmann, 1954) and h...
Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design [0.03%]
利用t检验在NEAT设计下RaschIRT等值中的离群值检测
Chunyan Liu,Daniel Jurich
Chunyan Liu
In equating practice, the existence of outliers in the anchor items may deteriorate the equating accuracy and threaten the validity of test scores. Therefore, stability of the anchor item performance should be evaluated before conducting eq...
An Investigation Into the Impact of Test Session Disruptions for At-Home Test Administrations [0.03%]
对家中测试中断的测试会话影响进行调查研究
Katherine E Castellano,Sandip Sinharay,Jiangang Hao et al.
Katherine E Castellano et al.
In response to the closures of test centers worldwide due to the COVID-19 pandemic, several testing programs offered large-scale standardized assessments to examinees remotely. However, due to the varying quality of the performance of perso...
Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data [0.03%]
诊断分类模型中计数数据分析的负二项分布应用研究
Ren Liu,Ihnwhi Heo,Haiyan Liu et al.
Ren Liu et al.
Diagnostic classification models (DCMs) have been used to classify examinees into groups based on their possession status of a set of latent traits. In addition to traditional item-based scoring approaches, examinees may be scored based on ...
Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings [0.03%]
多项计算机自适应测试中的经验先验概率：临床设置中的风险和回报
Niek Frans,Johan Braeken,Bernard P Veldkamp et al.
Niek Frans et al.
The use of empirical prior information about participants has been shown to substantially improve the efficiency of computerized adaptive tests (CATs) in educational settings. However, it is unclear how these results translate to clinical s...
Kuan-Yu Jin,Chia-Ling Hsu,Ming Ming Chiu et al.
Kuan-Yu Jin et al.
In traditional test models, test items are independent, and test-takers slowly and thoughtfully respond to each test item. However, some test items have a common stimulus (dependent test items in a testlet), and sometimes test-takers lack m...
An Empirical Identification Issue of the Bifactor Item Response Theory Model [0.03%]
bifactor IRT模型的一个实证识别问题
Wenya Chen,Ken A Fujimoto
Wenya Chen
Using the bifactor item response theory model to analyze data arising from educational and psychological studies has gained popularity over the years. Unfortunately, using this model in practice comes with challenges. One such challenge is ...
Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data [0.03%]
含缺失数据的二分变量项目反应模型的修正拟合优度指数
Xue Zhang,Chun Wang
Xue Zhang
Item-level fit analysis not only serves as a complementary check to global fit analysis, it is also essential in scale development because the fit results will guide item revision and/or deletion (Liu & Maydeu-Olivares, 2014). During data c...
Item Selection With Collaborative Filtering in On-The-Fly Multistage Adaptive Testing [0.03%]
协作过滤在实时多阶段自适应测试中的应用研究
Jiaying Xiao,Okan Bulut
Jiaying Xiao
An important design feature in the implementation of both computerized adaptive testing and multistage adaptive testing is the use of an appropriate method for item selection. The item selection method is expected to select the most optimal...