Integer programming in psychology: A review and directions for future research [0.03%]
心理学中的整数规划：回顾与未来研究方向
Michael Brusco,Douglas Steinley,Ashley L Watts
Michael Brusco
Integer programming (IP) is an extension of linear programming (LP) whereby the goal is to determine values for a set of decision variables (some or all of which have integer restrictions) so as to maximize or minimize a linear objective fu...
Zichu Liu,Shiyu Wang,Houping Xiao et al.
Zichu Liu et al.
Understanding students' learning trajectories is crucial for educators to effectively monitor and enhance progress. With the rise of computer-based testing, researchers now have access to rich datasets that provide deeper insights into stud...
Decomposition of WAIC for assessing the information gain with application to educational testing [0.03%]
WAIC的分解用于评估信息增益并在教育测试中的应用
Fang Liu,Ming-Hui Chen,Xiaojing Wang et al.
Fang Liu et al.
Nowadays, multidimensional data are often available from educational testing. One natural issue is to identify whether more dimensional data are useful in fitting the item response data. To address this important issue, we develop a new dec...
Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach [0.03%]
利用生存分析方法用竞争风险模型联合建模反应选项和跳过项
Jinxin Guo,Xin Xu,Guanhua Fang et al.
Jinxin Guo et al.
Item response theory models are commonly adopted in educational assessment and psychological measurement. Such models need to be modified to accommodate practical situations when statistical sampling assumptions are violated. Omission is a ...
Efficient and accurate variational inference for multilevel threshold autoregressive models in intensive longitudinal data [0.03%]
纵向密集数据多级阈值自回归模型的有效且准确的变分推断方法研究
Azizur Rahman,Depeng Jiang,Lisa M Lix
Azizur Rahman
Recent technological advancements have enabled the collection of intensive longitudinal data (ILD), consisting of repeated measurements from the same individual. The threshold autoregressive (TAR) model is often used to capture the dynamic ...
Data fusion by T3-PCA: A global model for the simultaneous analysis of coupled three-way and two-way real-valued data [0.03%]
基于T3-PCA的数据融合：同时分析耦合三模实值数据和双模实值数据的全局模型
Elisa Frutos-Bernal,Eva Ceulemans,Purificación Galindo-Villardón et al.
Elisa Frutos-Bernal et al.
In various areas of science, researchers try to gain insight into important processes by jointly analysing different datasets containing information regarding common aspects of these processes. For example, to explain individual differences...
Assessment of fit of item response theory models: A critical review of the status quo and some future directions [0.03%]
项目响应理论模型拟合优度评估：现状批判性评述及未来方向探讨
Sandip Sinharay,Scott Monroe
Sandip Sinharay
This paper provides a literature review of assessment of fit of item response theory models. Various types of fit procedures for item response theory models are reviewed, with a focus on their advantages and disadvantages. Real data example...
The generalized Hausman test for detecting non-normality in the latent variable distribution of the two-parameter IRT model [0.03%]
两参数项目反应模型潜在变量分布非正态性的广义Hausman检验
Lucia Guastadisegni,Silvia Cagnone,Irini Moustaki et al.
Lucia Guastadisegni et al.
This paper introduces the generalized Hausman test as a novel method for detecting the non-normality of the latent variable distribution of the unidimensional latent trait model for binary data. The test utilizes the pairwise maximum likeli...
Siqi He,Steven Andrew Culpepper,Jeffrey A Douglas
Siqi He
Diagnostic models (DM) have been widely used to classify respondents' latent attributes in cognitive and non-cognitive assessments. The integration of response times (RTs) with DM presents additional evidence to understand respondents' prob...