A Gibbs-INLA algorithm for multidimensional graded response model analysis [0.03%]
多维等级反应模型分析的Gibbs-INLA算法
Xiaofan Lin,Siliang Zhang,Yincai Tang et al.
Xiaofan Lin et al.
In this paper, we propose a novel Gibbs-INLA algorithm for the Bayesian inference of graded response models with ordinal response based on multidimensional item response theory. With the combination of the Gibbs sampling and the integrated ...
A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data [0.03%]
处理评估数据中项目和被试异质性的贝叶斯非参数方法
Tianyu Pan,Weining Shen,Clintin P Davis-Stober et al.
Tianyu Pan et al.
We propose a novel nonparametric Bayesian item response theory model that estimates clusters at the question level, while simultaneously allowing for heterogeneity at the examinee level under each question cluster, characterized by a mixtur...
Exploring examinees' responses to constructed response items with a supervised topic model [0.03%]
一种有监督的主题模型及其在Constructed Response 作答分析中的应用研究
Seohyun Kim,Zhenqiu Lu,Allan S Cohen
Seohyun Kim
Textual data are increasingly common in test data as many assessments include constructed response (CR) items as indicators of participants' understanding. The development of techniques based on natural language processing has made it possi...
Estimation of nonlinear mixed-effects continuous-time models using the continuous-discrete extended Kalman filter [0.03%]
基于连续-离散扩展卡尔曼滤波的非线性混合效应连续时间模型估计方法研究
Lu Ou,Michael D Hunter,Zhaohua Lu et al.
Lu Ou et al.
Many intensive longitudinal measurements are collected at irregularly spaced time intervals, and involve complex, possibly nonlinear and heterogeneous patterns of change. Effective modelling of such change processes requires continuous-time...
Kylie Gorney,Sandip Sinharay,Xiang Liu
Kylie Gorney
The use of joint models for item scores and response times is becoming increasingly popular in educational and psychological testing. In this paper, we propose two new person-fit statistics for such models in order to detect aberrant behavi...
Evaluating the performance of existing and novel equivalence tests for fit indices in structural equation modelling [0.03%]
评估结构方程模型适应指数现有和新型等价检验的性能
Nataly Beribisky,Robert A Cribbie
Nataly Beribisky
It has been suggested that equivalence testing (otherwise known as negligible effect testing) should be used to evaluate model fit within structural equation modelling (SEM). In this study, we propose novel variations of equivalence tests b...
K-Plus anticlustering: An improved k-means criterion for maximizing between-group similarity [0.03%]
改进的k均值准则：最大化组间相似性的K-Plus抗聚类方法
Martin Papenberg
Martin Papenberg
Anticlustering refers to the process of partitioning elements into disjoint groups with the goal of obtaining high between-group similarity and high within-group heterogeneity. Anticlustering thereby reverses the logic of its better known t...
Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning [0.03%]
增强多样化人群中测量的有效性：评估项目功能差异的现代方法
Daniel J Bauer
Daniel J Bauer
When developing and evaluating psychometric measures, a key concern is to ensure that they accurately capture individual differences on the intended construct across the entire population of interest. Inaccurate assessments of individual di...
Assessment of generalised Bayesian structural equation models for continuous and binary data [0.03%]
连续数据和二元数据的广义贝叶斯结构方程模型评估
Konstantinos Vamvourellis,Konstantinos Kalogeropoulos,Irini Moustaki
Konstantinos Vamvourellis
The paper proposes a novel model assessment paradigm aiming to address shortcoming of posterior predictive p -values, which provide the default metric of fit for Bayesian structural equation modelling (BSEM). The model framework presente...